Computer Typing & Data Entry Innovation

Mukesh Singh

Computer Typing & Data Entry Innovation

Computer Typing & Data Entry Innovation

Introduction

The evolution of computer typing and data entry practices has transformed how information is processed, stored, and communicated in various industries. Innovations in technology have not only improved efficiency but also enhanced accuracy and accessibility. This document outlines key innovations in computer typing and data entry, their implications, and future trends.

1. Innovations in Computer Typing

1.1 Touch Typing

  • Skill Development: Touch typing involves typing without looking at the keyboard, allowing for increased speed and efficiency.
  • Online Courses and Software: Numerous platforms offer interactive lessons and exercises to improve touch typing skills, making it more accessible for users.

1.2 Voice Recognition Technology

  • Speech-to-Text Software: Innovations in voice recognition allow users to dictate text using their voice. Applications like Dragon NaturallySpeaking and built-in tools in operating systems (e.g., Windows Speech Recognition) have made typing more efficient.
  • Applications in Accessibility: Voice recognition is particularly beneficial for individuals with disabilities, allowing them to interact with computers without traditional typing.

1.3 Ergonomic Keyboards

  • Design Innovations: Ergonomic keyboards are designed to reduce strain and discomfort during long typing sessions. Features like split designs, wrist support, and adjustable angles promote better posture.
  • Enhanced User Comfort: The use of ergonomic keyboards can lead to increased typing speed and reduced risk of repetitive strain injuries.

1.4 Mobile Typing Technologies

  • On-Screen Keyboards: Innovations in mobile technology have led to advanced on-screen keyboards with predictive text, autocorrect, and swipe typing features (e.g., Gboard, SwiftKey).
  • Voice Assistants: Integration of virtual assistants (e.g., Siri, Google Assistant) allows users to input data and commands through voice, enhancing mobile data entry.

2. Innovations in Data Entry

2.1 Automated Data Entry Solutions

  • Optical Character Recognition (OCR): OCR technology enables the conversion of different types of documents (e.g., scanned paper documents, PDFs) into editable and searchable data. This significantly reduces manual data entry efforts.
  • Robotic Process Automation (RPA): RPA automates repetitive data entry tasks, improving efficiency and accuracy. Businesses can utilize software robots to perform data entry across various applications.

2.2  Cloud-Based Data Entry Tool

Cloud-Based Data Entry Tools

  • Real-Time Collaboration: Cloud-based platforms (e.g., Google Sheets, Microsoft Excel Online) allow multiple users to enter and edit data simultaneously from different locations, enhancing collaboration and productivity.
  • Integration with Other Software: Many cloud-based tools can integrate with other applications, automating data flow and minimizing manual entry.

2.3 Data Validation and Error Checking

  • Automated Validation Tools: Modern data entry systems incorporate automated validation checks to ensure data accuracy, reducing the likelihood of human errors.
  • Smart Suggestions: Some applications provide smart suggestions and autofill options based on previously entered data, streamlining the data entry process.

3. Implications of Innovations

3.1 Increased Efficiency

  • Innovations in typing and data entry technologies have led to faster processing times, enabling businesses to handle larger volumes of data with ease.

3.2 Enhanced Accuracy

  • The integration of automated solutions and error-checking mechanisms has significantly improved the accuracy of data entry, reducing the need for extensive manual review.

3.3 Improved Accessibility

  • Voice recognition and mobile technologies have made data entry more accessible to individuals with disabilities and those in remote locations, promoting inclusivity.

4. Future Trends

4.1 Artificial Intelligence (AI)

  • AI-Powered Data Entry: Future innovations may include AI systems that learn from user inputs to automate data entry tasks further and predict user behavior for improved accuracy.

4.2 Advanced Speech Recognition

  • Continuous improvements in natural language processing (NLP) will enhance voice recognition technology, making it more accurate and capable of understanding context and nuances.

4.3 Biometric Authentication

  • As data security becomes increasingly critical, biometric technologies (e.g., fingerprint scanners, facial recognition) may be integrated into data entry systems to ensure secure access and protect sensitive information.

Conclusion

The innovations in computer typing and data entry have revolutionized how individuals and organizations manage information. As technology continues to advance, ongoing improvements in efficiency, accuracy, and accessibility will shape the future of data management. Embracing these innovations will be essential for individuals and businesses aiming to remain competitive in an increasingly data-driven world.

What is required Computer Typing & Data Entry Innovation

Computer Typing & Data Entry Innovation involves several key requirements that encompass skills, technologies, and methodologies to enhance efficiency and accuracy in data handling. Here’s a detailed overview of what is required in this context:

1. Technical Skills

  • Typing Proficiency:
    • Mastery of touch typing techniques to improve speed and accuracy.
    • Familiarity with different keyboard layouts (e.g., QWERTY, AZERTY).
  • Software Skills:
    • Proficiency in using word processing software (e.g., Microsoft Word, Google Docs).
    • Knowledge of spreadsheet applications (e.g., Microsoft Excel, Google Sheets) for data entry and analysis.

2. Understanding of Technologies

  • Voice Recognition Software:
    • Familiarity with speech-to-text tools to enable voice input for data entry.
    • Knowledge of configuring and utilizing voice assistants effectively.
  • Optical Character Recognition (OCR):
    • Understanding how OCR technology works for digitizing printed documents and reducing manual entry.
  • Robotic Process Automation (RPA):
    • Awareness of RPA tools that automate repetitive data entry tasks to increase productivity.

3. Data Management Knowledge

  • Data Validation Techniques:
    • Knowledge of methods to ensure data integrity, including validation rules and error-checking mechanisms.
  • Basic Database Management:
    • Understanding of database concepts and data structures for organizing and retrieving data efficiently.

4. Ergonomic Practices

  • Ergonomics Awareness:
    • Knowledge of ergonomic typing practices to prevent repetitive strain injuries and promote comfort.
  • Use of Ergonomic Equipment:
    • Familiarity with ergonomic keyboards, mouse designs, and other input devices that enhance typing comfort.

5. Soft Skills

  • Attention to Detail:
    • Strong attention to detail to minimize errors during data entry and ensure data quality.
  • Time Management:
    • Ability to manage time effectively to meet deadlines and improve overall productivity.
  • Adaptability:
    • Willingness to adapt to new technologies and tools as they evolve.

6. Collaboration and Communication Skills

  • Team Collaboration:
    • Ability to work collaboratively in teams, especially when using cloud-based data entry tools.
  • Communication Skills:
    • Strong verbal and written communication skills to facilitate effective collaboration and data sharing.

7. Continuous Learning

  • Stay Updated:
    • Commitment to continuous learning to stay abreast of the latest technologies and best practices in typing and data entry.
  • Training Opportunities:
    • Participation in workshops, online courses, and training sessions to enhance skills and knowledge.

8. Security Awareness

  • Data Privacy Knowledge:
    • Understanding of data protection regulations and best practices to ensure the confidentiality and security of sensitive information.
  • Use of Security Tools:
    • Familiarity with tools and practices that safeguard data, including encryption and secure access protocols.

Conclusion

To effectively engage in Computer Typing & Data Entry Innovation, individuals and organizations need to focus on developing a combination of technical skills, knowledge of relevant technologies, and soft skills. By equipping themselves with these requirements, they can leverage innovations in typing and data entry to enhance productivity and efficiency in an increasingly digital world.

Who is required Computer Typing & Data Entry Innovation

Computer Typing & Data Entry Innovation involves a variety of roles and individuals across different sectors. Here’s a breakdown of who is typically required in this field:

1. Data Entry Specialists

  • Role: Responsible for inputting, updating, and maintaining data in computer systems.
  • Skills Needed: Proficiency in typing, attention to detail, and familiarity with data management software.

2. Administrative Assistants

  • Role: Support various administrative functions, often involving typing reports, managing schedules, and data entry tasks.
  • Skills Needed: Strong organizational skills, proficiency in office software, and effective communication skills.

3. Office Managers

  • Role: Oversee office operations, including data management and team coordination.
  • Skills Needed: Leadership abilities, familiarity with data entry processes, and problem-solving skills.

4. IT Professionals

  • Role: Implement and maintain data entry technologies and software solutions (e.g., OCR, RPA).
  • Skills Needed: Technical knowledge of software and hardware systems, troubleshooting skills, and understanding of data security.

5. Customer Support Representatives

  • Role: Input customer information and manage data related to customer interactions.
  • Skills Needed: Strong typing skills, proficiency in customer relationship management (CRM) software, and effective communication skills.

6. Healthcare Professionals

  • Role: Input and manage patient records and data for healthcare administration.
  • Skills Needed: Understanding of medical terminology, accuracy in data entry, and knowledge of health information systems.

7. Financial Analysts

  • Role: Enter and analyze financial data to support decision-making processes.
  • Skills Needed: Strong analytical skills, proficiency in spreadsheet software, and attention to detail.

8. Researchers and Academics

  • Role: Compile and enter research data, often requiring data management skills.
  • Skills Needed: Familiarity with data analysis tools and attention to detail in data collection.

9. Human Resources Personnel

  • Role: Manage employee records, payroll data, and recruitment information.
  • Skills Needed: Knowledge of HR systems, attention to detail, and strong organizational skills.

10. Students and Learners

  • Role: Individuals in educational settings who need to develop typing and data entry skills for academic purposes.
  • Skills Needed: Basic typing skills, computer literacy, and willingness to learn.

11. Freelancers and Remote Workers

  • Role: Individuals offering typing and data entry services on a contract basis, often remotely.
  • Skills Needed: Proficiency in typing and data management software, self-discipline, and time management skills.

Conclusion

The requirement for individuals in Computer Typing & Data Entry Innovation spans a wide range of professions. Each role emphasizes the importance of typing proficiency, data management skills, and familiarity with modern technologies. As organizations increasingly rely on digital data management, the demand for skilled professionals in this area continues to grow.

When is required Computer Typing & Data Entry Innovation

Computer Typing & Data Entry Innovation is required in various contexts and situations, driven by the need for efficiency, accuracy, and effective data management. Here are some scenarios and timeframes when these innovations are particularly necessary:

1. Business Operations

  • Daily Tasks: In any business setting, data entry is a routine task needed for maintaining records, processing transactions, and managing customer information.
  • During Peak Seasons: Businesses may require enhanced data entry capabilities during peak seasons (e.g., holiday sales, tax season) when the volume of transactions and customer interactions increases.

2. Project Management

  • Project Kickoff: When starting a new project, data entry innovations are necessary to organize project details, track progress, and allocate resources efficiently.
  • Regular Updates: Ongoing projects require regular data input to keep all team members informed and to monitor deadlines and deliverables.

3. Healthcare Administration

  • Patient Intake: Innovations in typing and data entry are critical during patient intake processes, where accurate and timely data entry affects patient care and record-keeping.
  • Regulatory Compliance: Healthcare organizations must maintain accurate data to comply with regulations, making data entry innovations essential during audits or inspections.

4. Education and Training

  • Enrollment Periods: Educational institutions require efficient data entry systems during enrollment periods to manage student information, applications, and records.
  • Examinations and Assessments: Data entry innovations are necessary for grading systems and managing assessment data efficiently and accurately.

5. Financial Reporting

  • End of Fiscal Year: Companies often require enhanced data entry processes during the end of the fiscal year for financial reporting, auditing, and compliance with regulations.
  • Budgeting and Forecasting: Accurate data entry is crucial when preparing budgets and forecasts, often requiring collaboration across departments.

6. Customer Service Operations

  • High Inquiry Periods: During promotional campaigns or new product launches, customer service teams need effective data entry systems to manage inquiries and feedback.
  • Feedback Collection: Innovations are necessary during customer feedback collection processes to ensure accurate data capture and analysis.

7. Research and Development

  • Data Collection Phases: Researchers require efficient data entry innovations during data collection phases of studies or experiments to ensure accurate and timely input of research findings.
  • Publication Preparation: Prior to publishing research, accurate data entry is critical for compiling and organizing results and references.

8. Remote Work and Collaboration

  • Transitioning to Remote Work: Organizations implementing remote work models need reliable data entry systems that facilitate collaboration and maintain data integrity across locations.
  • Project Collaborations: When teams from different locations work together, real-time data entry innovations help streamline communication and project tracking.

Conclusion

Computer Typing & Data Entry Innovation is required whenever there is a need for efficient data handling, especially in business operations, healthcare, education, finance, and customer service. The timing is often driven by specific operational demands, project timelines, and organizational needs, highlighting the critical role that typing and data entry innovations play in today’s data-centric environment.

Where is required Computer Typing & Data Entry Innovation

Computer Typing & Data Entry Innovation is required across various industries and environments where data management and efficiency are crucial. Here are some key areas where these innovations are essential:

1. Corporate Offices

  • Human Resources: For managing employee records, payroll, recruitment, and performance data.
  • Finance and Accounting: To input financial transactions, prepare reports, and manage budgets.

2. Healthcare Settings

  • Hospitals and Clinics: For patient data management, including electronic health records (EHR) and billing information.
  • Research Institutions: In clinical trials and studies, accurate data entry is crucial for patient data collection and analysis.

3. Educational Institutions

  • Schools and Universities: For managing student records, grades, attendance, and enrollment data.
  • E-Learning Platforms: To track learner progress and manage course materials effectively.

4. Customer Service Centers

  • Call Centers: For logging customer interactions, inquiries, and support requests efficiently.
  • Sales Teams: To enter and manage leads, customer information, and sales data.

5. Government Agencies

  • Public Administration: For managing citizen data, tax records, and compliance documentation.
  • Statistical Offices: To input data for surveys, censuses, and research projects.

6. Retail and E-Commerce

  • Inventory Management: For updating stock levels, product information, and sales records.
  • Order Processing: To enter customer orders and manage shipping details.

7. Research and Development

  • Laboratories: For inputting experimental data, research findings, and maintaining databases of samples.
  • Market Research Firms: To collect and analyze consumer data and survey results.

8. Manufacturing and Logistics

  • Supply Chain Management: For tracking shipments, inventory levels, and production data.
  • Quality Control: To log inspection results and maintain compliance records.

9. Freelancing and Remote Work

  • Independent Contractors: Providing typing and data entry services across various sectors, often remotely.
  • Virtual Assistants: Managing data entry tasks for businesses from a remote location.

10. Non-Profit Organizations

  • Fundraising Management: For tracking donations, donor information, and grant applications.
  • Volunteer Management: To maintain records of volunteers, events, and outreach activities.

11. Technology Companies

  • Software Development: For maintaining databases, user information, and bug tracking.
  • Data Analytics Firms: To input and manage large datasets for analysis and reporting.

Conclusion

Computer Typing & Data Entry Innovation is required in a wide range of settings, including corporate offices, healthcare, education, customer service, government, retail, research, manufacturing, freelancing, non-profits, and technology. These innovations enhance efficiency, accuracy, and data management capabilities across various sectors, highlighting their critical role in modern operations.

How is required Computer Typing & Data Entry Innovation

Computer Typing & Data Entry Innovation is required through the implementation of specific practices, tools, and technologies that enhance the efficiency and accuracy of data management processes. Here’s how these innovations manifest:

1. Adopting Advanced Software

  • Data Entry Applications: Utilizing software like Microsoft Excel, Google Sheets, and specialized data entry systems to streamline data input and management.
  • Optical Character Recognition (OCR): Implementing OCR technology to convert scanned documents into editable and searchable data, reducing manual entry.

2. Implementing Automation Tools

  • Robotic Process Automation (RPA): Using RPA to automate repetitive data entry tasks, allowing for faster processing and reducing human error.
  • Form Fillers and Macros: Creating automated form fillers and macros within applications to expedite data entry processes.

3. Enhancing Typing Skills

  • Typing Training Programs: Offering training sessions for employees to improve typing speed and accuracy, which increases overall productivity.
  • Online Typing Courses: Encouraging staff to participate in online typing courses that focus on touch typing and efficient keyboard use.

4. Using Cloud-Based Solutions

  • Collaborative Tools: Leveraging cloud-based platforms (e.g., Google Workspace, Microsoft 365) that allow multiple users to input and manage data in real time.
  • Data Backup and Recovery: Ensuring data integrity through cloud storage solutions that provide secure backup and easy recovery options.

5. Establishing Standardized Processes

  • Data Entry Protocols: Developing standardized protocols and guidelines for data entry to ensure consistency and accuracy across the organization.
  • Quality Control Measures: Implementing quality checks and validation processes to verify the accuracy of entered data.

6. Utilizing Data Management Systems

  • Customer Relationship Management (CRM): Employing CRM systems to efficiently manage customer data and interactions, facilitating quicker data entry and retrieval.
  • Enterprise Resource Planning (ERP): Using ERP systems to integrate data from various departments, streamlining data entry and improving data accuracy.

7. Integrating AI and Machine Learning

  • Predictive Data Entry: Implementing AI-driven predictive text and auto-complete features that assist users in entering data more quickly and accurately.
  • Data Analysis Tools: Using machine learning algorithms to analyze data patterns, enhancing decision-making processes based on entered data.

8. Improving Accessibility

  • Voice Recognition Software: Adopting voice-to-text technologies that allow users to input data verbally, providing an alternative for those with typing difficulties.
  • Mobile Data Entry Applications: Developing mobile apps that enable users to enter data on-the-go, increasing accessibility and flexibility.

9. Encouraging Employee Feedback

  • Feedback Mechanisms: Establishing channels for employees to provide feedback on data entry processes and tools, fostering a culture of continuous improvement.
  • Pilot Programs: Running pilot programs for new data entry technologies and processes to evaluate their effectiveness and gather user input.

10. Regular Training and Development

  • Continuous Learning: Providing ongoing training opportunities to keep employees updated on the latest data entry technologies and best practices.
  • Workshops and Seminars: Organizing workshops on productivity tools and techniques to enhance overall data entry efficiency.

Conclusion

Computer Typing & Data Entry Innovation is required through the integration of advanced technologies, automation tools, training programs, and standardized processes. By leveraging these innovations, organizations can improve their data management capabilities, enhance productivity, and minimize errors in data entry tasks.

Case Study on Computer Typing & Data Entry Innovation

Case Study: Implementing Data Entry Innovation at TechSolutions Inc.

Background: Tech Solutions Inc. is a mid-sized software development company that specializes in providing tailored solutions for small and medium enterprises (SMEs). The company faced significant challenges with its data entry processes, which were primarily manual. This led to errors, inefficiencies, and delays in project timelines. Recognizing the need for innovation, Tech Solutions decided to implement a comprehensive data entry innovation strategy.

Challenges Faced

  1. High Error Rate: Manual data entry led to frequent mistakes, resulting in inaccuracies in client databases and project reports.
  2. Time-Consuming Processes: Employees spent a significant amount of time on repetitive data entry tasks, diverting their attention from core activities.
  3. Inconsistent Data Management: Different teams followed various methods for data entry, leading to inconsistencies and difficulty in data retrieval.

Objectives

  • To reduce the error rate in data entry tasks.
  • To streamline data management processes and enhance overall efficiency.
  • To ensure consistency in data entry across different teams.

Implementation Steps

  1. Adoption of Automation Tools
    • Tech Solutions integrated Robotic Process Automation (RPA) tools to automate repetitive data entry tasks. These tools were configured to handle data extraction from emails and websites and populate the relevant databases.
  2. Optical Character Recognition (OCR) Technology
    • The company implemented OCR technology to digitize paper documents and convert them into editable formats. This significantly reduced the time spent on manual data entry for historical documents.
  3. Centralized Data Management System
    • A centralized Customer Relationship Management (CRM) system was introduced to unify data entry across all teams. The CRM included features such as auto-fill, drop-down menus, and data validation to enhance accuracy and speed.
  4. Employee Training
    • Comprehensive training programs were conducted for employees to familiarize them with the new tools and processes. This included workshops on using the CRM effectively and enhancing typing skills.
  5. Feedback and Continuous Improvement
    • Tech Solutions established a feedback loop where employees could report issues and suggest improvements. Regular assessments were made to refine processes based on user input.

Results

  1. Reduction in Error Rate
    • The error rate in data entry tasks decreased by 75% within six months of implementing the new tools and processes.
  2. Time Savings
    • Employees reported a 50% reduction in time spent on data entry tasks, allowing them to focus more on strategic initiatives and client interactions.
  3. Enhanced Data Consistency
    • The centralized CRM system led to standardized data entry practices across teams, improving the overall reliability of data management.
  4. Employee Satisfaction
    • Staff morale improved significantly, as employees felt empowered by the new tools and less burdened by tedious data entry tasks.
  5. Increased Client Satisfaction
    • With improved data accuracy and faster project delivery times, client satisfaction ratings increased, leading to a 20% boost in client retention rates.

Conclusion

The case of Tech Solutions Inc. illustrates the transformative impact of adopting computer typing and data entry innovations. By leveraging automation, advanced technologies, and centralized systems, the company was able to address its data entry challenges effectively. This not only improved operational efficiency but also enhanced employee satisfaction and client relationships, demonstrating the critical role that innovation plays in data management processes.

White Paper on Computer Typing & Data Entry Innovation

White Paper on Computer Typing & Data Entry Innovation

Abstract

In today’s fast-paced digital landscape, organizations increasingly rely on efficient data management systems to maintain competitiveness. This white paper explores the innovations in computer typing and data entry processes, highlighting the need for automation, standardization, and advanced technologies. By addressing the challenges associated with traditional data entry methods, this document presents strategies for organizations to enhance their data management capabilities, improve accuracy, and increase productivity.

Introduction

Data entry is a crucial component of business operations, encompassing the input of information into systems for processing and analysis. However, traditional manual data entry processes are often plagued by errors, inefficiencies, and time constraints. As businesses strive for greater efficiency and accuracy, innovations in typing and data entry have become essential. This paper outlines the current landscape of data entry, identifies the challenges faced by organizations, and presents innovative solutions to enhance data management.

Current Landscape of Data Entry

Data entry encompasses various activities, including typing documents, entering information into databases, and managing data across different platforms. While essential, these tasks are often labor-intensive and prone to human error. Traditional data entry methods can result in:

  • High Error Rates: Manual entry is susceptible to typographical errors and omissions, leading to inaccurate data records.
  • Inefficiencies: Repetitive tasks consume valuable employee time that could be better spent on strategic activities.
  • Data Inconsistency: Variability in data entry methods across departments can result in fragmented data that is challenging to manage and analyze.

Innovations in Computer Typing & Data Entry

  1. Robotic Process Automation (RPA)
    • RPA technology automates repetitive data entry tasks, significantly reducing manual effort and error rates. By employing software robots, organizations can streamline data extraction and input, leading to enhanced operational efficiency.
  2. Optical Character Recognition (OCR)
    • OCR technology allows for the digitization of printed and handwritten documents, converting them into editable digital formats. This innovation eliminates the need for manual data entry from paper sources, accelerating the data collection process.
  3. Voice Recognition Software
    • Advances in voice recognition technology enable users to input data verbally. This innovation not only increases typing speed but also provides an accessible alternative for individuals with physical disabilities or those who prefer speech over typing.
  4. Cloud-Based Collaboration Tools
    • Cloud platforms (e.g., Google Workspace, Microsoft 365) facilitate real-time collaboration on data entry tasks, enabling multiple users to input and manage data simultaneously. This promotes efficiency and ensures data is consistently updated.
  5. Data Management Systems
    • Implementing centralized Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP) systems standardizes data entry processes across organizations. These systems often include features like auto-fill, drop-down menus, and data validation, which reduce manual input and enhance accuracy.
  6. Employee Training and Development
    • Continuous training on typing skills, software usage, and data management best practices empowers employees to perform their tasks more efficiently. Organizations that invest in employee development reap long-term benefits through increased productivity.

Case Study: Tech Solutions Inc.

A mid-sized software development company, Tech Solutions Inc. faced significant challenges with manual data entry processes, including high error rates and inefficiencies. By implementing RPA, OCR, and a centralized CRM system, Tech Solutions achieved a 75% reduction in error rates and a 50% decrease in time spent on data entry tasks. Employee satisfaction improved, and client retention rates increased as a result of enhanced data accuracy and project delivery times.

Conclusion

The innovations in computer typing and data entry are transforming the way organizations manage their data. By adopting advanced technologies such as RPA, OCR, and cloud-based systems, businesses can address the challenges associated with traditional data entry methods. Investing in these innovations not only improves operational efficiency but also enhances data accuracy, consistency, and employee satisfaction. As the demand for accurate and timely data continues to grow, organizations must embrace these innovations to remain competitive in the digital age.

Recommendations

  • Assess Current Processes: Organizations should evaluate their existing data entry processes to identify areas for improvement.
  • Invest in Technology: Implement advanced data entry solutions, including RPA and OCR, to automate and streamline tasks.
  • Provide Training: Offer regular training sessions for employees to enhance their typing skills and familiarize them with new technologies.
  • Foster a Culture of Continuous Improvement: Encourage feedback from employees on data entry processes and tools to drive ongoing enhancements.

References

  • [Include relevant academic papers, industry reports, and other sources that support the content of the white paper.]

This white paper aims to serve as a comprehensive resource for organizations seeking to innovate their data entry practices, ultimately leading to improved efficiency and accuracy in data management.

  1. Schumpeter, Joseph A., 1883–1950 (1983). The theory of economic development: an inquiry into profits, capital, credit, interest, and the business cycle. Opie, Redvers,, Elliott, John E. New Brunswick, New Jersey. ISBN 0-87855-698-2. OCLC 8493721.
  2. ^ “ISO 56000:2020(en)Innovation management — Fundamentals and vocabulary”. ISO. 2020.
  3. ^ Lijster, Thijs, ed. (2018). The Future of the New: Artistic Innovation in Times of Social Acceleration. Arts in society. Valiz. ISBN 978-94-92095-58-9. Retrieved 10 September 2020.
  4. ^ Bhasin, Kim (2 April 2012). “This Is The Difference Between ‘Invention’ And ‘Innovation'”. Business Insider.
  5. ^ “What’s the Difference Between Invention and Innovation?”, Forbes, 10 September 2015
  6. ^ Schumpeter, Joseph Alois (1939). Business Cycles. Vol. 1. p. 84. Innovation is possible without anything we should identify as invention, and invention does not necessarily induce innovation.
  7. ^ Jump up to:a b c Edison, H., Ali, N.B., & Torkar, R. (2014). Towards innovation measurement in the software industry. Journal of Systems and Software 86(5), 1390–407.
  8. ^ Baregheh, Anahita; Rowley, Jennifer; Sambrook, Sally (4 September 2009). “Towards a multidisciplinary definition of innovation”. Management Decision. 47 (8): 1323–1339. doi:10.1108/00251740910984578. ISSN 0025-1747.
  9. ^ Rogers, Everett M. (2003). Diffusion of innovations (5th ed.). New York: Free Press. ISBN 0-7432-2209-1. OCLC 52030797.
  10. ^ Innovation in American Government: Challenges, Opportunities, and Dilemmas. Brookings Inst Pr. 1 June 1997. ISBN 978-0-8157-0358-7.
  11. ^ Hughes, D. J.; Lee, A.; Tian, A. W.; Newman, A.; Legood, A. (2018). “Leadership, creativity, and innovation: A critical review and practical recommendations” (PDF). The Leadership Quarterly. 29 (5): 549–569. doi:10.1016/j.leaqua.2018.03.001. hdl:10871/32289. S2CID 149671044. Archived (PDF) from the original on 24 December 2019.
  12. ^ Jump up to:a b Drucker, Peter F. (August 2002). “The Discipline of Innovation”. Harvard Business Review. Retrieved 13 October 2013.
  13. ^ Amabile, Teresa M.; Pratt, Michael G. (2016). “The dynamic componential model of creativity and innovation in organizations: Making progress, making meaning”. Research in Organizational Behavior. 36: 157–183. doi:10.1016/j.riob.2016.10.001. S2CID 44444992.
  14. ^ Leonard Dudley (2012). Mothers of Innovation: How Expanding Social Networks Gave Birth to the Industrial Revolution. Cambridge Scholars Publishing. p. 4. ISBN 9781443843126.
  15. ^ Jasanoff, Sheila; Kim, Sang-Hyun (2015). Dreamscapes of Modernity. University of Chicago Press. doi:10.7208/chicago/9780226276663.001.0001. ISBN 978-0-226-27652-6.
  16. ^ Papaioannou, Theo (3 May 2020). “Innovation, value-neutrality and the question of politics: unmasking the rhetorical and ideological abuse of evolutionary theory”. Journal of Responsible Innovation. 7 (2): 238–255. doi:10.1080/23299460.2019.1605484. ISSN 2329-9460. S2CID 159275720.
  17. ^ Jump up to:a b c d e f g Robra, Ben; Pazaitis, Alex; Giotitsas, Chris; Pansera, Mario (1 July 2023). “From creative destruction to convivial innovation – A post-growth perspective”. Technovation. 125: 102760. doi:10.1016/j.technovation.2023.102760. hdl:11093/4788. ISSN 0166-4972.
  18. ^ Jump up to:a b Walsh, Shannon (21 May 2021). “Marx, subsumption and the critique of innovation”. Organization. 30 (2): 345–360. doi:10.1177/13505084211015377. ISSN 1350-5084. S2CID 236375680.
  19. ^ Lange, Steffen; Pohl, Johanna; Santarius, Tilman (1 October 2020). “Digitalization and energy consumption. Does ICT reduce energy demand?”. Ecological Economics. 176: 106760. Bibcode:2020EcoEc.17606760L. doi:10.1016/j.ecolecon.2020.106760. ISSN 0921-8009. S2CID 224947774.
  20. ^ Blank, Steve (1 February 2019). “McKinsey’s Three Horizons Model Defined Innovation for Years. Here’s Why It No Longer Applies”. Harvard Business Review. ISSN 0017-8012. Retrieved 16 August 2020.
  21. ^ Satell, Greg (21 June 2017). “The 4 Types of Innovation and the Problems They Solve”. Harvard Business Review. ISSN 0017-8012. Retrieved 16 August 2020.
  22. ^ Edwards-Schachter, Mónica (2018). “The nature and variety of innovation”. International Journal of Innovation Studies. 2 (2): 65–79. doi:10.1016/j.ijis.2018.08.004.
  23. ^ Bower, Joseph L.; Christensen, Clayton M. (1 January 1995). “Disruptive Technologies: Catching the Wave”. Harvard Business Review. No. January–February 1995. ISSN 0017-8012. Retrieved 16 August 2020.
  24. ^ Christensen, Clayton M.; Raynor, Michael E.; McDonald, Rory (1 December 2015). “What Is Disruptive Innovation?”. Harvard Business Review. No. December 2015. ISSN 0017-8012. Retrieved 16 August 2020.
  25. ^ “Disruptive Innovations”. Christensen Institute. Retrieved 16 August 2020.
  26. ^ Christensen, Clayton & Overdorf, Michael (2000). “Meeting the Challenge of Disruptive Change”. Harvard Business Review.
  27. ^ Jump up to:a b Iansiti, Marco; Lakhani, Karim R. (January 2017). “The Truth About Blockchain”. Harvard Business Review. Harvard University. Retrieved 17 January 2017. a foundational technology: It has the potential to create new foundations for our economic and social systems.
  28. ^ Jump up to:a b c d Henderson, Rebecca M.; Clark, Kim B. (March 1990). “Architectural Innovation: The Reconfiguration of Existing Product Technologies and the Failure of Established Firms”. Administrative Science Quarterly. 35 (1): 9. doi:10.2307/2393549. ISSN 0001-8392. JSTOR 2393549. S2CID 6255046.
  29. ^ Williams, Michael A.; Cox, Collett; Jaffee, Martin S., eds. (1992). Innovation in Religious Traditions: Essays in the Interpretation of Religious Change. Religion and society (volume 31). Berlin: Walter de Gruyter. ISBN 9783110127805. Retrieved 16 February 2024.
  30. ^ Schiederig, Tim; Tietze, Frank; Herstatt, Cornelius (22 February 2012). “Green innovation in technology and innovation management – an exploratory literature review”. R&D Management. 42 (2): 180–192. doi:10.1111/j.1467-9310.2011.00672.x. ISSN 0033-6807. S2CID 153958119.
  31. ^ Blok, Vincent; Lemmens, Pieter (2015), “The Emerging Concept of Responsible Innovation. Three Reasons Why It is Questionable and Calls for a Radical Transformation of the Concept of Innovation”, Responsible Innovation 2, Cham: Springer International Publishing, pp. 19–35, doi:10.1007/978-3-319-17308-5_2, hdl:2066/150613, ISBN 978-3-319-17307-8
  32. ^ Jump up to:a b Amabile, Teresa (December 2017). “In Pursuit of Everyday Creativity” (PDF). Journal of Creative Behavior: 2–3 – via Harvard Business School.
  33. ^ Jump up to:a b c d Godin, Benoit (2015). Innovation contested: the idea of innovation over the centuries. Routledge. ISBN 9781315855608. OCLC 903958473.
  34. ^ Politics II as cited by Benoît Godin (2015)
  35. ^ Mazzaferro, Alexander (2018). “Such a Murmur”: Innovation, Rebellion, and Sovereignty in William Strachey’s “True Reportory”. Early American Literature. 53 (1): 3–32. doi:10.1353/eal.2018.0001. S2CID 166005186.
  36. ^ Mazzaferro, Alexander McLean (2017). “No newe enterprize” (Doctoral dissertation) (Thesis). Rutgers University. doi:10.7282/T38W3HFQ. Retrieved 19 February 2019.
  37. ^ Lepore, Jill (23 June 2014). “The Disruption Machine: What the gospel of innovation gets wrong”. The New Yorker. Retrieved 19 February 2019.
  38. ^ Green, Emma (20 June 2013). “Innovation: The History of a Buzzword”. The Atlantic. Retrieved 19 February 2019.
  39. ^ “innovation”. Oxford English Dictionary (Online ed.). Oxford University Press. (Subscription or participating institution membership required.)
  40. ^ Benoit Godin (2019). The invention of technological innovation: languages, discourses and ideology in historical perspective. Edward Elgar Publishing. ISBN 9781789903348. OCLC 1125747489.
  41. ^ Schumpeter, J. A. (1943). Capitalism, Socialism, and Democracy (6 ed.). Routledge. pp. 81–84. ISBN 9780415107624.
  42. ^ Heyne, P., Boettke, P. J., and Prychitko, D. L. (2010). The Economic Way of Thinking. Prentice Hall, 12th ed. pp. 163, 317–18.
  43. ^ Swedberg, Richard (30 January 2009), “Rebuilding Schumpeter’s Theory of Entrepreneurship”, Marshall and Schumpeter on Evolution, Edward Elgar Publishing, doi:10.4337/9781848446168.00018, ISBN 978-1-84844-616-8, retrieved 25 December 2023
  44. ^ Utterback, James (1971). “The Process of Technological Innovation Within the Firm”. Academy of Management Journal. 14 (1): 78. doi:10.2307/254712. JSTOR 254712.
  45. ^ “Silicon Valley History & Future”. Netvalley.com. Retrieved 14 March 2016.
  46. ^ Tohidi, Hamid; Jabbari, Mohammad Mehdi (2012). “The important of Innovation and its Crucial Role in Growth, Survival and Success of Organizations”. Procedia Technology. 1: 535–538. doi:10.1016/j.protcy.2012.02.116.
  47. ^ Salge, T. O.; Vera, A. (2009). “Hospital innovativeness and organizational performance: Evidence from English public acute care”. Health Care Management Review. 34 (1): 54–67. doi:10.1097/01.HMR.0000342978.84307.80. PMID 19104264.
  48. ^ West, Michael A. (2002). “Sparkling Fountains or Stagnant Ponds: An Integrative Model of Creativity and Innovation Implementation in Work Groups”. Applied Psychology. 51 (3): 355–387. doi:10.1111/1464-0597.00951.
  49. ^ MIT Sloan Management Review Spring 2002. “How to identify and build New Businesses”
  50. ^ Anthony, Scott D.; Johnson, Mark W.; Sinfield, Joseph V.; Altman, Elizabeth J. (2008). Innovator’s Guide to Growth. “Putting Disruptive Innovation to Work”. Harvard Business School Press. ISBN 978-1-59139-846-2.
  51. ^ Perez, T. and Rushing R. (2007). “The CitiStat Model: How Data-Driven Government Can Increase Efficiency and Effectiveness”. Center for American Progress Report. pp. 1–18.
  52. ^ Transportation Research Board (2007). “Transit Cooperative Research Program (TCRP) Synthesis 70: Mobile Data Terminals”. pp. 1–5. TCRP (PDF).
  53. ^ Von Hippel, Eric (1988). The Sources of Innovation (PDF). Oxford University Press. Archived from the original (PDF) on 12 October 2006. Retrieved 3 December 2015.
  54. ^ Engelberger, J. F. (1982). “Robotics in practice: Future capabilities”. Electronic Servicing & Technology magazine.
  55. ^ Kline (1985). Research, Invention, Innovation and Production: Models and Reality, Report INN-1, March 1985, Mechanical Engineering Department, Stanford University.
  56. ^ Hashim, Ahmed S. (2018). The Caliphate at War: The Ideological, Organisational and Military Innovations of Islamic State. Oxford University Press. p. 7. ISBN 9781849046435.
  57. ^ Scott Ligon, Gina; Derrick, Douglas C.; Harms, Mackenzie (15 November 2017). “Destruction Through Collaboration: How Terrorists Work Together Toward Malevolent Innovation”. In Reiter-Palmon, Roni (ed.). Team Creativity and Innovation. Oxford University Press. ISBN 9780190695323.
  58. ^ Jump up to:a b Mark, M., Katz, B., Rahman, S., and Warren, D. (2008) MetroPolicy: Shaping A New Federal Partnership for a Metropolitan Nation. Brookings Institution: Metropolitan Policy Program Report. pp. 4–103.
  59. ^ Dubickis, M., Gaile-Sarkane, E. (2015). “Perspectives on Innovation and Technology Transfer”. Procedia – Social and Behavioral Sciences. 213: 965–970. doi:10.1016/j.sbspro.2015.11.512.
  60. ^ “New Trends in Innovation Management”. Forbesindia.com. Forbes India Magazine. Retrieved 14 March 2016.
  61. ^ “ShipIt Days”. Atlassian. Retrieved 14 March 2016.
  62. ^ “U-STIR”. U-stir.eu. Archived from the original on 18 September 2011. Retrieved 7 September 2011.
  63. ^ Tuomi, I. (2002). Networks of Innovation. Oxford University Press. Networks of Innovation Archived 5 November 2007 at the Wayback Machine
  64. ^ Siltala, R. (2010). Innovativity and cooperative learning in business life and teaching. PhD thesis. University of Turku.
  65. ^ Forget The 10,000-Hour Rule; Edison, Bezos, & Zuckerberg Follow The 10,000-Experiment Rule. Medium.com (26 October 2017). Retrieved 16 October 2018.
  66. ^ Jump up to:a b Why These Tech Companies Keep Running Thousands Of Failed Experiments. Fast Company.com (21 September 2016). Retrieved 16 October 2018.
  67. ^ Simulation Advantage. Bcgperspectives.com (4 August 2010). Retrieved 16 October 2018.
  68. ^ MacKenzie, Donald (1984). “Marx and the Machine”. Technology and Culture. 25 (3): 473–502. doi:10.2307/3104202. ISSN 0040-165X. JSTOR 3104202. S2CID 113106929.
  69. ^ Jump up to:a b Davila, T., Epstein, M. J., and Shelton, R. (2006). “Making Innovation Work: How to Manage It, Measure It, and Profit from It.” Upper Saddle River: Wharton School Publishing.
  70. ^ Jump up to:a b Vaona, Andrea; Pianta, Mario (March 2008). “Firm Size and Innovation in European Manufacturing”. Small Business Economics. 30 (3): 283–299. doi:10.1007/s11187-006-9043-9. hdl:10419/3843. ISSN 0921-898X. S2CID 153525567.
  71. ^ Khan, Arshad M.; Manopichetwattana, V. (1989). “Innovative and Noninnovative Small Firms: Types and Characteristics”. Management Science. 35 (5): 597–606. doi:10.1287/mnsc.35.5.597.
  72. ^ O’Sullivan, David (2002). “Framework for Managing Development in the Networked Organisations”. Journal of Computers in Industry. 47 (1): 77–88. doi:10.1016/S0166-3615(01)00135-X.
  73. ^ Giampietro, Mario; Funtowicz, Silvio O. (1 July 2020). “From elite folk science to the policy legend of the circular economy”. Environmental Science & Policy. 109: 64–72. Bibcode:2020ESPol.109…64G. doi:10.1016/j.envsci.2020.04.012. hdl:11250/2730163. ISSN 1462-9011.
  74. ^ Hoekstra, Arjen Y.; Wiedmann, Thomas O. (6 June 2014). “Humanity’s unsustainable environmental footprint”. Science. 344 (6188): 1114–1117. Bibcode:2014Sci…344.1114H. doi:10.1126/science.1248365. ISSN 0036-8075. PMID 24904155. S2CID 206553617.
  75. ^ Rockström, Johan; Steffen, Will; Noone, Kevin; Persson, Åsa; Chapin, F. Stuart; Lambin, Eric F.; Lenton, Timothy M.; Scheffer, Marten; Folke, Carl; Schellnhuber, Hans Joachim; Nykvist, Björn; de Wit, Cynthia A.; Hughes, Terry; van der Leeuw, Sander; Rodhe, Henning (September 2009). “A safe operating space for humanity”. Nature. 461 (7263): 472–475. Bibcode:2009Natur.461..472R. doi:10.1038/461472a. ISSN 0028-0836. PMID 19779433.
  76. ^ Tarde, G. (1903). The laws of imitation (E. Clews Parsons, Trans.). New York: H. Holt & Co.
  77. ^ Rogers, E. M. (1962). Diffusion of Innovation. New York, NY: Free Press.
  78. ^ The Oxford handbook of innovation. Fagerberg, Jan., Mowery, David C., Nelson, Richard R. Oxford: Oxford University Press. 2005. ISBN 978-0-19-926455-1. OCLC 56655392.
  79. ^ Jump up to:a b Edison, H.; Ali, N.B.; Torkar, R. (2013). “Towards innovation measurement in the software industry”. Journal of Systems and Software. 86 (5): 1390–1407. doi:10.1016/j.jss.2013.01.013 – via ResearchGate.
  80. ^ Davila, Tony; Marc J. Epstein and Robert Shelton (2006). Making Innovation Work: How to Manage It, Measure It, and Profit from It. Upper Saddle River: Wharton School Publishing
  81. ^ OECD The Measurement of Scientific and Technological Activities. Proposed Guidelines for Collecting and Interpreting Technological Innovation Data. Oslo Manual. 2nd edition, DSTI, OECD / European Commission Eurostat, Paris 31 December 1995.
  82. ^ “Industrial innovation – Enterprise and Industry”. European Commission. Archived from the original on 27 August 2011. Retrieved 7 September 2011.
  83. ^ “DEVELOPMENT OF INNOVATION – European Journal of Natural History (scientific magazine)”. world-science.ru. Retrieved 7 April 2021.
  84. ^ Chalkidou, K.; Tunis, S.; Lopert, R.; Rochaix, L.; Sawicki, P. T.; Nasser, M.; Xerri, B. (2009). “Comparative effectiveness research and evidence-based health policy: Experience from four countries”. The Milbank Quarterly. 87 (2): 339–67. doi:10.1111/j.1468-0009.2009.00560.x. PMC 2881450. PMID 19523121.
  85. ^ Roughead, E.; Lopert, R.; Sansom, L. (2007). “Prices for innovative pharmaceutical products that provide health gain: a comparison between Australia and the United States”. Value in Health. 10 (6): 514–20. doi:10.1111/j.1524-4733.2007.00206.x. PMID 17970935.
  86. ^ Hughes, B. (2008). “Payers Growing Influence on R&D Decision Making”. Nature Reviews Drug Discovery. 7 (11): 876–78. doi:10.1038/nrd2749. PMID 18974741. S2CID 10217053.
  87. ^ Faunce, T.; Bai, J.; Nguyen, D. (2010). “Impact of the Australia-US Free Trade Agreement on Australian medicines regulation and prices”. Journal of Generic Medicines. 7 (1): 18–29. doi:10.1057/jgm.2009.40. S2CID 154433476. Archived from the original on 16 April 2021.
  88. ^ Faunce TA (2006). “Global intellectual property protection of ‘innovative’ pharmaceuticals: Challenges for bioethics and health law in B Bennett and G Tomossy” (PDF). Law.anu.edu.au. Globalization and Health Springer. Archived from the original (PDF) on 14 April 2011. Retrieved 18 June 2009.
  89. ^ Faunce, T. A. (2007). “Reference pricing for pharmaceuticals: is the Australia-United States Free Trade Agreement affecting Australia’s Pharmaceutical Benefits Scheme?”. Medical Journal of Australia. 187 (4): 240–42. doi:10.5694/j.1326-5377.2007.tb01209.x. PMID 17564579. S2CID 578533.
  90. ^ Hernán Jaramillo; Gustavo Lugones; Mónica Salazar (March 2001). “Bogota Manual. Standardisation of Indicators of Technological Innovation in Latin American and Caribbean Countries”. Iberoamerican Network of Science and Technology Indicators (RICYT) Organisation of American States (OAS) / CYTED PROGRAM COLCIENCIAS/OCYT. p. 87.
  91. ^ “Social Innovation Index 2016”. Economist Impact | Perspectives. Retrieved 7 April 2021.
  92. ^ “The INSEAD Global Innovation Index (GII)”. INSEAD. 28 October 2013.
  93. ^ “Home page”. Innovation Capacity Index.
  94. ^ “Tools”. Statsamerica.org. Retrieved 7 September 2011.
  95. ^ Innovations Indikator retrieved 7 March 2017
  96. ^ “The INSEAD Innovation Efficiency Inndex”. Technology Review. February 2016.
  97. ^ Adsule, Anil (2015). “INNOVATION LEADING THE WAY TO REVOLUTION” (PDF). International Journal of Business and Administration Research Review. 2, Issue.11. Archived (PDF) from the original on 1 August 2020 – via Google scholar.
  98. ^ Kerle, Ralph (2013). “Model for Managing Intangibility of Organizational Creativity: Management Innovation Index”. Encyclopedia of Creativity, Invention, Innovation and Entrepreneurship. pp. 1300–1307. doi:10.1007/978-1-4614-3858-8_35. ISBN 978-1-4614-3857-1.
  99. ^ “Innovation Index”. NYCEDC.com. Archived from the original on 2 November 2013. Retrieved 26 May 2013.
  100. ^ “Home page”. statetechandscience.org.
  101. ^ “The World Competitiveness Scoreboard 2014” (PDF). IMD.org. 2014. Archived (PDF) from the original on 30 June 2014.
  102. ^ “Germany Breaks Korea’s Six-Year Streak as Most Innovative Nation”. Bloomberg L.P. Retrieved 17 March 2021.
  103. ^ “Infografik: Schweiz bleibt globaler Innovationsführer”. Statista Infografiken. Statista (In German). Retrieved 25 November 2016.
  104. ^ Jamrisko, Michelle; Lu, Wei; Tanzi, Alexandre (3 February 2021). “South Korea Leads World in Innovation as U.S. Exits Top Ten”. Bloomberg.
  105. ^ “GII 2020 Report”. Global Innovation Index. Archived from the original on 24 October 2020. Retrieved 19 October 2020.
  106. ^ innovations indikator 2020 (PDF) (in German). Bundesverband der Deutschen Industrie, Fraunhofer ISI, Zentrum für Europäische Wirtschaftsforschung. 2020. Archived (PDF) from the original on 8 April 2021.
  107. ^ Jump up to:a b Huebner, J. (2005). “A possible declining trend for worldwide innovation”. Technological Forecasting and Social Change. 72 (8): 980–986. doi:10.1016/j.techfore.2005.01.003.
  108. ^ Hayden, Thomas (7 July 2005). “Science: Wanna be an inventor? Don’t bother”. U.S. News & World Report. Archived from the original on 1 November 2013. Retrieved 10 June 2013.
  109. ^ Adler, Robert (2 July 2005). “Entering a dark age of innovation”. New Scientist. Retrieved 30 May 2013.
  110. ^ Smart, J. (2005). “Discussion of Huebner article”. Technological Forecasting and Social Change. 72 (8): 988–995. doi:10.1016/j.techfore.2005.07.001.
  111. ^ Huebner, Jonathan (2005). “Response by the Authors”. Technological Forecasting and Social Change. 72 (8): 995–1000. doi:10.1016/j.techfore.2005.05.008.
  112. ^ Strumsky, D.; Lobo, J.; Tainter, J. A. (2010). “Complexity and the productivity of innovation”. Systems Research and Behavioral Science. 27 (5): 496. doi:10.1002/sres.1057.
  113. ^ Gordon, Robert J. (2012). “Is U.S. Economic Growth Over? Faltering Innovation Confronts the Six Headwinds”. NBER Working Paper No. 18315. doi:10.3386/w18315.
  114. ^ “Jonathan Wong, Head of DFID’s Innovation Hub | DFID bloggers”. Government of the United Kingdom. 24 September 2014. Retrieved 14 March 2016.
  115. ^ “Bill & Melinda Gates Foundation and Grand Challenge Partners Commit to Innovation with New Investments in Breakthrough Science – Bill & Melinda Gates Foundation”. Gatesfoundation.org. 7 October 2014. Retrieved 14 March 2016.
  116. ^ “Global Development Lab | U.S. Agency for International Development”. Usaid.gov. 5 August 2015. Retrieved 14 March 2016.
  117. ^ “International Development Innovation Network (IDIN) | D-Lab”. D-lab.mit.edu. Archived from the original on 5 March 2016. Retrieved 14 March 2016.
  118. ^ “Global Innovation Fund International development funding”. Government of the United Kingdom. Retrieved 14 March 2016.
  119. ^ “Human Development Innovation Fund (HDIF)”. Hdif-tz.org. 14 August 2015. Retrieved 14 March 2016.
  120. ^ “USAID and DFID Announce Global Development Innovation Ventures to Invest in Breakthrough Solutions to World Poverty | U.S. Agency for International Development”. Usaid.gov. 6 June 2013. Archived from the original on 4 May 2017. Retrieved 14 March 2016.
  121. ^ “StackPath”. industryweek.com. 22 January 2020. Retrieved 28 April 2020.
  122. ^ “Bay Area Radio Museum: The Charles Herrold Story”. 12 August 2014.
  123. ^ “U.S. Economic Development Administration: Fiscal Year 2010 Annual Report” (PDF). Eda.gov. Archived (PDF) from the original on 22 September 2011. Retrieved 14 March 2016.
  124. ^ “The American Way of Innovation and Its Deficiencies”. American Affairs Journal. 20 May 2018. Retrieved 28 April 2020.
  125. ^ “Science and Technology”. MEXT. Archived from the original on 5 September 2011. Retrieved 7 September 2011.
  126. ^ “BMBF ” Ministry”. Bmbf.de. Retrieved 7 September 2011.
  127. ^ “Home”. Landgate.wa.gov.au. Landgate Innovation Program. Retrieved 14 March 2016.
  128. ^ Morisson, A. & Doussineau, M. (2019). Regional innovation governance and place-based policies: design, implementation and implications. Regional Studies, Regional Science,6(1),101–116. https://rsa.tandfonline.com/doi/full/10.1080/21681376.2019.1578257.
  129. ^ Rubin, Tzameret H.; Aas, Tor Helge; Stead, Andrew (1 July 2015). “Knowledge flow in Technological Business Incubators: Evidence from Australia and Israel”. Technovation. 41–42: 11–24. doi:10.1016/j.technovation.2015.03.002.
  130. ^ Morisson, Arnault (2018). “Knowledge Gatekeepers and Path Development on the Knowledge Periphery: The Case of Ruta N in Medellin, Colombia”. Area Development and Policy. 4: 98–115. doi:10.1080/23792949.2018.1538702. S2CID 169689111.
  131.  “Archived copy” (PDF). Archived from the original (PDF) on 2008-12-03. Retrieved 2009-04-24.
  132. ^ “Archived copy”. Archived from the original on 2009-03-12. Retrieved 2009-04-24.
  133.  “freelance”. Dictionary.com Unabridged (Online). n.d.
  134. ^ Hesmondhalgh, David; Baker, Sarah (2010). “‘A very complicated version of freedom’: Conditions and experiences of creative labour in three cultural industries”. Poetics. 38 (1): 4–20. doi:10.1016/j.poetic.2009.10.001. hdl:10072/44740.
  135. ^ Jump up to:a b Scholz, Trebor (2012). Digital Labor. Routledge.
  136. ^ Jump up to:a b c d e “Freelance Industry Report 2012” (PDF). Archived (PDF) from the original on 10 October 2016. Retrieved 17 May 2013.
  137. ^ Gregg, Tim (14 February 2013). “The State of the Freelance Economy”. DeskMag. Archived from the original on 13 May 2013. Retrieved 17 May 2013.
  138. ^ “With freelancing on the rise, India’s gig economy is going strong: report”. The Hindu Business Line. 9 January 2018. Archived from the original on 13 May 2019. Retrieved 31 August 2018.
  139. ^ “This Survey of 21,000 Freelancers From 170 Countries Shows What Having No Boss Is Like”. Inc.com. 27 October 2017. Archived from the original on 26 August 2018. Retrieved 31 August 2018.
  140. ^ Register of Copyrights (April 2019). “Authors, Attribution, and Integrity: Examining Moral Rights in the United States” (PDF). United States Copyright Office. pp. 15–16. Archived (PDF) from the original on 23 April 2019. Retrieved 28 January 2022.
  141. ^ “Independent work: Choice, necessity, and the gig economy | McKinsey”. www.mckinsey.com. Archived from the original on 3 April 2019. Retrieved 23 October 2020.
  142. ^ “Independent contractors in 2005”. Bureau of Labor Statistics. 29 July 2005. Archived from the original on 7 May 2009. Retrieved 21 December 2012.
  143. ^ Dwyer, C. “Contingent Workforce Management: The Next-Generation Guidebook to Managing the Modern Contingent Workforce Umbrella”. Aberdeen Group. Archived from the original on 3 July 2023. Retrieved 17 May 2013.
  144. ^ Florida, Richard. “Geography of America’s Freelance Economy”. FEB 25, 2013. The Atlantic. Archived from the original on 22 October 2013. Retrieved 17 May 2013.
  145. ^ “Freelancing in America: 2016” (PDF). Archived from the original (PDF) on 23 October 2017. Retrieved 6 September 2017.
  146. ^ “Cyclical and Structural Forces Behind the Growing Independent Workforce”. Small Business Labs. 13 June 2017. Archived from the original on 17 October 2017. Retrieved 16 October 2017.
  147. ^ “UK consulting market grows 7 per cent to 6 billion”. 10 March 2015. Archived from the original on 22 December 2015. Retrieved 21 December 2015.
  148. ^ Bell, Anna (22 January 2014). “Guide To Freelancers”. Archived from the original on 1 February 2014. Retrieved 20 January 2014.
  149. ^ Ross, Joel; Andrew Zaldivar; Lilly Irani; Bill Tomlinson (2010). “Who are the Turkers? Worker Demographics in Amazon Mechanical Turk” (PDF). CHI EA: 2863–2872. Archived from the original (PDF) on 10 June 2013. Retrieved 17 May 2013.
  150. ^ Mendes, Kaitlynn; Kumarini Silva; Catherine McKercher; Yan Wub (24 August 2009). “Women, Labor, Media, and the Economy Kaitlynn Mendes”. Feminist Media Studies. 9 (3): 369–378. doi:10.1080/14680770903068332. S2CID 216644322.
  151. ^ Denkenberger, D.; Way, J.; Pearce, J. M. (2015). “Educational Pathways to Remote Employment in Isolated Communities”. Journal of Human Security. 11 (1): 34–44. doi:10.12924/johs2015.11010034.
  152. ^ Jump up to:a b McKercher, Catherine (September 2009). “Writing on the Margins: Precarity and the Freelance Journalist”. Feminist Media Studies. 3 (9): 370–374.
  153. ^ Dollar, Staff. “The Ultimate Freelancer’s Guide: Everything You Need to Know About Getting Jobs, Getting Paid, and Getting Ahead”. thesimpledollar. Archived from the original on 11 August 2020. Retrieved 25 November 2019.
  154. ^ Bornstein, David (6 December 2011). “Safety Nets for Freelancers (Opinionator)”. New York Times. Archived from the original on 1 April 2013. Retrieved 17 May 2013.
  155. ^ “2005 Canadian Professional Writers Survey” (PDF). Professional Writers Association of Canada. Archived from the original (PDF) on 16 July 2007. Retrieved 17 May 2013.
  156. ^ Fang, Fang (ed.). “Division of Household Labor”. SAGE Publishing. Archived from the original on 8 February 2022. Retrieved 8 February 2022.
  157. ^ Wade, Lisa. “Of Housework and Husbands”. Sociological Images. Archived from the original on 18 May 2013. Retrieved 17 May 2013.
  158. ^ Gregg, Melissa (2011). Work’s intimacy. Cambridge, UK: Polity. ISBN 9780745650289. OCLC 669262653.
  159. ^ “The World Factbook: India”. Central Intelligence Agency. 20 September 2007. Archived from the original on 18 March 2021. Retrieved 25 March 2008.
  160. ^ Haidar, Julieta; Keune, Maarten, eds. (23 November 2021), Work and Labour Relations in Global Platform Capitalism, Edward Elgar Publishing, doi:10.4337/9781802205138, ISBN 978-1-80220-513-8, retrieved 9 November 2023
  161. ^ “”Sharing economy” shams: Deception at the core of the Internet’s hottest businesses”. Salon. 14 March 2014. Archived from the original on 11 November 2017. Retrieved 10 November 2017.
  162. ^ Yoganarasimhan, Hema (1 November 2013). “The Value of Reputation in an Online Freelance Marketplace”. Marketing Science. 32 (6): 860–891. doi:10.1287/mksc.2013.0809. ISSN 0732-2399.
  163. ^ Graham, Mark; Hjorth, Isis; Lehdonvirta, Vili (16 March 2017). “Digital labour and development: impacts of global digital labour platforms and the gig economy on worker livelihoods”. Transfer: European Review of Labour and Research. 23 (2): 135–162. doi:10.1177/1024258916687250. ISSN 1024-2589. PMC 5518998. PMID 28781494.
  164. ^ Manyika, James. “Independent work: Choice, necessity, and the gig economy”. McKinsey Global Institute. Archived from the original on 27 April 2018. Retrieved 6 November 2017.
  165. ^ Tolentino, Jia (22 March 2017). “The Gig Economy Celebrates Working Yourself to Death”. The New Yorker. ISSN 0028-792X. Retrieved 10 November 2017.
  166. ^ AOL Staff. “People are outraged over this Fiverr subway advertisement”. AOL.com. Archived from the original on 11 November 2017. Retrieved 10 November 2017.
  167. ^ “Directive (2010/41/EU) on the application of the principle of equal treatment between men and women engaged in an activity in a self-employed capacity”. 15 July 2010. Archived from the original on 24 August 2015. Retrieved 9 February 2015.
  168. ^ “Employee Misclassification: Improved Coordination, Outreach, and Targeting Could Better Ensure Detection and Prevention”. U.S. Government Accountability Office. 10 August 2009. Archived from the original on 8 October 2009. Retrieved 21 October 2009.
  169. ^ “Independent Contractor (Self-Employed) or Employee?”. U.S. Internal Revenue Service. 15 June 2009. Archived from the original on 2 November 2009. Retrieved 21 October 2009.
  170. ^ “Massachusetts Independent Contractor/Misclassification Law”. The Attorney General of Massachusetts. 2008. Archived from the original on 22 October 2009. Retrieved 21 October 2009.
  171. ^ “Massachusetts General Laws. Chapter 149: Section 148B. Persons performing service not authorized under this chapter deemed employees; exception”. The Commonwealth of Massachusetts. Archived from the original on 19 October 2009. Retrieved 21 October 2009.
  172. ^ Peiser, Jaclyn (30 April 2018). “It Took 17 Years: Freelancers Receive $9 Million in Copyright Suit”. The New York Times. Archived from the original on 7 November 2018. Retrieved 6 November 2018.
  173. ^ “Copyrights and Works Made for Hire”. www.americanbar.org. Archived from the original on 7 November 2018. Retrieved 6 November 2018.
  174. ^ “Search results for ‘freelance'”. Chambers Harrap dictionary. Archived from the original on 6 December 2012. Retrieved 21 December 2012.
  175.  “World Health Organization – Management”. Archived from the original on 2009-02-12.
  176. ^ “Bureau of Labor Statistics”. Archived from the original on 2013-04-23.
  177. ^ “Health Care Administrator”. Archived from the original on 2 July 2012. Retrieved 11 September 2012.
  178. ^ Kliff, Sarah (15 September 2014). “$1.43 of every $100 in America goes toward hospital administration”. Vox. Archived from the original on 15 September 2014. Retrieved 16 September 2014.
  179. ^ “Archived copy” (PDF). Archived (PDF) from the original on 2017-01-18. Retrieved 2016-10-22.
  180. ^ Jump up to:a b “Bachelor’s Degree in Healthcare Administration” Archived 2013-02-08 at the Wayback Machine New England College
  181. ^ “Bachelor of Arts in Business Administration Healthcare Management – Online Healthcare Management Degree”. Florida Tech Online. Archived from the original on 2013-08-20.
  182. ^ “Bureau of Labor Statistics – Occupational Outlook Handbook entry”. Archived from the original on 2009-01-05.
  183. ^ Jump up to:a b McAlearney, Ann Scheck (2006). “Leadership Development in Healthcare: A Qualitative Study”. Journal of Organizational Behavior. 27 (7): 967–982. doi:10.1002/job.417. ISSN 0894-3796. JSTOR 4093879.
  184. ^ Jump up to:a b GODIWALLA, YEZDI H.; GODIWALLA, SHIRLEY Y. (1991). “Strategic Management in Hospitals”. Journal of Health and Human Resources Administration. 13 (3): 336–351. ISSN 0160-4198. JSTOR 25780452. PMID 10109843.
  185. ^ Pellegrini, Lawrence C.; Rodriguez-Monguio, Rosa; Qian, Jing (2014). “The US healthcare workforce and the labor market effect on healthcare spending and health outcomes”. International Journal of Health Care Finance and Economics. 14 (2): 127–141. doi:10.1007/s10754-014-9142-0. ISSN 1389-6563. JSTOR 24571845. PMID 24652416. S2CID 12963343.
  186. ^ “What is Health Policy and Systems Research”. WHO Alliance for Health Policy & Systems Research. Retrieved 2024-01-17.
  187. ^ Bennett, Sara; Adam, Taghreed; Zarowsky, Christina; Tangcharoensathien, Viroj; Ranson, Kent; Evans, Tim; Mills, Anne (November 2008). “From Mexico to Mali: progress in health policy and systems research”. The Lancet. 372 (9649): 1571–1578. doi:10.1016/S0140-6736(08)61658-X. PMID 18984191. S2CID 21065572.
  188. ^ Lin, V (1997-12-01). “Resource review. Investing in health research and development: report of the ad hoc committee on health research relating to future intervention options. World Health Organization, Geneva, 1996”. Health Promotion International. 12 (4): 331–332. doi:10.1093/heapro/12.4.331.
  189. ^ Weisz, George (2020-08-02). “What Happened to the Global Forum for Health Research?”. Global Public Health. 15 (8): 1212–1224. doi:10.1080/17441692.2020.1752767. ISSN 1744-1692. PMID 32295489. S2CID 215793442.
  190. ^ Haddock, Cynthia Carter “A Brief History of Healthcare Management” Archived 2012-09-04 at the Wayback Machine, 2002.
  191. ^ “University of Chicago – Graduate Program in Health Administration and Policy”. Archived from the original on 2010-06-20.
  192. ^ Stevens, R. (1999). “In sickness and in wealth: American hospitals in the twentieth century.” Baltimore: The Johns Hopkins University Press.
  193. ^ Haddock, C. C., & McLean, R. D. (2002). “Careers in Healthcare Management: How to Find your Path and Follow It.” Chicago: Health Administration Press.
  194. ^ Organisation for Economic Co-operation and Development (2006). “Rising health costs put pressure on public finances, finds OECD.” Retrieved January 20, 2009 from the OECD Web site: “Rising health costs put pressure on public finances, finds OECD”. Archived from the original on 2008-05-03. Retrieved 2013-08-27.
  195. Kenton, Will. “Manufacturing”. Investopedia. Archived from the original on November 17, 2020. Retrieved January 16, 2021.
  196. ^ Thadani, Akhil; Allen, Gregory C. (May 30, 2023). “Mapping the Semiconductor Supply Chain: The Critical Role of the Indo-Pacific Region”. CSIS.
  197. ^ Stevenson, Angus, ed. (2010). “manufacture, n.“. Oxford English Dictionary (3rd ed.). Oxford: Oxford University Press. doi:10.1093/acres/9780199571123.001.0001 (inactive November 1, 2024). ISBN 978-0199571123.
  198. ^ Srivatsan, T. S.; Manigandan, K.; Sudarshan, T. S. (2018). “Use of Conventional Manufacturing Techniques for Materials”. In Srivatsan, T. S.; Sudarshan, T. S.; Manigandan, K. (eds.). Manufacturing Techniques for Materials: Engineering and Engineered. Boca Raton: CRC Press. pp. 436–437. ISBN 978-1138099265.
  199. ^ Youssef, Helmi A.; El-Hofy, Hassan (2008). Machining Technology: Machine Tools and Operations. Boca Raton: CRC Press. p. 1. ISBN 978-1420043396.
  200. ^ “Human Ancestors Hall: Homo sapiens”. Smithsonian Institution. Archived from the original on May 1, 2009. Retrieved July 15, 2021.
  201. ^ “Ancient ‘Tool Factory’ Uncovered”. BBC News. May 6, 1999. Archived from the original on March 18, 2007. Retrieved July 15, 2021.
  202. ^ Heinzelin, Jean de; Clark, JD; White, T; Hart, W; Renne, P; Woldegabriel, G; Beyene, Y; Vrba, E (April 1999). “Environment and Behavior of 2.5-Million-Year-Old Bouri Hominids”. Science. 284 (5414): 625–629. Bibcode:1999Sci…284..625D. doi:10.1126/science.284.5414.625. PMID 10213682.
  203. ^ Jump up to:a b Burke, Ariane. “Archaeology”. Encyclopedia Americana. Archived from the original on May 21, 2008. Retrieved July 15, 2021.
  204. ^ Plummer, Thomas (2004). “Flaked Stones and Old Bones: Biological and Cultural Evolution at the Dawn of Technology”. American Journal of Physical Anthropology. Suppl 39 (47). Yearbook of Physical Anthropology: 118–64. doi:10.1002/ajpa.20157. PMID 15605391.
  205. ^ Haviland, William A. (2004). Cultural Anthropology: The Human Challenge. The Thomson Corporation. p. 77. ISBN 978-0-534-62487-3.
  206. ^ Tóth, Zsuzsanna (2012). “The First Neolithic Sites in Central/South-East European Transect, Volume III: The Körös Culture in Eastern Hungary”. In Anders, Alexandra; Siklósi, Zsuzsanna (eds.). Bone, Antler, and Tusk tools of the Early Neolithic Körös Culture. Oxford: BAR International Series 2334.
  207. ^ Jump up to:a b c Merson, John (1990). The Genius That Was China: East and West in the Making of the Modern World. Woodstock, NY: The Overlook Press. p. 69. ISBN 978-0-87951-397-9.
  208. ^ Paine, Lincoln (2013). The Sea and Civilization: A Maritime History of the World. New York: Random House, LLC.
  209. ^ Jane C., Waldbaum (1978). From Bronze to Iron: The Transition from the Bronze Age to the Iron Age in the Eastern Mediterranean. Paul Aström. pp. 56–58. ISBN 91-85058-79-3. OCLC 1146527679.
  210. ^ Photos, E. (1989). “The Question of Meteoritic versus Smelted Nickel-Rich Iron: Archaeological Evidence and Experimental Results”. World Archaeology. 20 (3): 403–421. doi:10.1080/00438243.1989.9980081. JSTOR 124562. S2CID 5908149.
  211. ^ Moorey, Peter Roger Stuart (1999). Ancient Mesopotamian Materials and Industries: The Archaeological Evidence. Eisenbrauns. ISBN 978-1575060422.
  212. ^ Potts, D. T. (2012). A Companion to the Archaeology of the Ancient Near East. p. 285.
  213. ^ Trzciński, Jerzy; Zaremba, Małgorzata; Rzepka, Sławomir; Welc, Fabian; Szczepański, Tomasz (June 1, 2016). “Preliminary Report on Engineering Properties and Environmental Resistance of Ancient Mud Bricks from Tell El-Retaba Archaeological Site in the Nile Delta”. Studia Quaternaria. 33 (1): 47–56. doi:10.1515/squa-2016-0005. ISSN 2300-0384. S2CID 132452242.
  214. ^ “Timeline: 8th century”. 8th century. ISBN 978-0191735516. Archived from the original on August 25, 2021. Retrieved July 15, 2021.
  215. ^ de Safita, Neathery (July 2002). “A Brief History Of Paper”. St. Louis Community College. Archived from the original on August 22, 2018. Retrieved July 15, 2021.
  216. ^ Marchetti, Cesare (1978). “A Postmortem Technology Assessment of the Spinning Wheel: The Last 1000 Years, Technological Forecasting and Social Change, 13; pp. 91–93” (PDF). Technological Forecasting and Social Change. Archived (PDF) from the original on May 2, 2016. Retrieved July 15, 2021.
  217. ^ Rosen, William (2012). The Most Powerful Idea in the World: A Story of Steam, Industry and Invention. University Of Chicago Press. p. 237. ISBN 978-0-226-72634-2.
  218. ^ “Industrial History of European Countries”. European Route of Industrial Heritage. Council of Europe. Archived from the original on June 23, 2021. Retrieved July 15, 2021.
  219. ^ Jump up to:a b c Landes, David S. (1969). The Unbound Prometheus. Press Syndicate of the University of Cambridge. ISBN 978-0-521-09418-4.
  220. ^ Gupta, Bishnupriya. “Cotton Textiles and the Great Divergence: Lancashire, India and Shifting Competitive Advantage, 1600–1850” (PDF). International Institute of Social History. Department of Economics, University of Warwick. Archived (PDF) from the original on September 10, 2016. Retrieved July 15, 2021.
  221. ^ Taylor, George Rogers (1951). The Transportation Revolution, 1815–1860. Rinehart. ISBN 978-0-87332-101-3.
  222. ^ Roe, Joseph Wickham (1916). English and American Tool Builders. New Haven, Connecticut: Yale University Press. LCCN 16011753. Archived from the original on April 14, 2021. Retrieved July 15, 2021. Reprinted by McGraw-Hill, New York and London, 1926 (LCCN 27-24075); and by Lindsay Publications, Inc., Bradley, Illinois, (ISBN 978-0-917914-73-7)
  223. ^ Hunter, Louis C. (1985). A History of Industrial Power in the United States, 1730–1930, Vol. 2: Steam Power. Charlottesville: University Press of Virginia. p. 18.
  224. ^ Nye, David E. (1990). Electrifying America: Social Meanings of a New Technology. Cambridge, Massachusetts, United States and London, England: The MIT Press.
  225. ^ Thomson, Ross (1989). The Path to Mechanized Shoe Production in the United States. University of North Carolina Press. ISBN 978-0-8078-1867-1.
  226. ^ Jump up to:a b c Hounshell, David A. (1984). From the American System to Mass Production, 1800–1932: The Development of Manufacturing Technology in the United States. Baltimore, Maryland: Johns Hopkins University Press. ISBN 978-0-8018-2975-8. LCCN 83016269. OCLC 1104810110.
  227. ^ Hunter, Louis C. (1985). A History of Industrial Power in the United States, 1730–1930, Vol. 2: Steam Power. Charlottesville: University Press of Virginia.
  228. ^ Jerome, Harry (1934). Mechanization in Industry, National Bureau of Economic Research. p. xxviii.
  229. ^ Nye, David E. (1990). Electrifying America: Social Meanings of a New Technology. Cambridge, Massachusetts and London, England: MIT Press. pp. 14, 15.
  230. ^ Hounshell 1984, p. 288
  231. ^ Ohno, Taiichi (1988). Toyota Production System: Beyond Large-Scale Production. CRC Press. ISBN 978-0-915299-14-0.
  232. ^ Shingō, Shigeo (1985). A Revolution in Manufacturing: The SMED System. ISBN 0-915299-03-8. OCLC 12255263. Archived from the original on January 14, 2022. Retrieved March 6, 2023.
  233. ^ “Site of BMC/Leyland Australia Manufacturing Plant: Nomination as an Historic Engineering Marker” (PDF). The Institution of Engineers, Australia. September 30, 1999. Archived (PDF) from the original on September 4, 2021. Retrieved July 30, 2021.
  234. ^ Ashburn, A. (July 1977). “Toyota’s “famous Ohno system””. American Machinist: 120–123.
  235. ^ Sugimori, Y.; Kusunoki, K.; Cho, F.; Uchikawa, S. (1977). “Toyota Production System and Kanban System: Materialization of Just-in-time and Respect-for-human System”. International Journal of Production Research. 15 (6): 553–564. doi:10.1080/00207547708943149. ISSN 0020-7543.
  236. ^ “The Founding of the Association for Manufacturing Excellence: Summarized at a Meeting of its Founders, February 2, 2001” (PDF). Target. 17 (3). Association for Manufacturing Excellence: 23–24. 2001. Archived (PDF) from the original on March 9, 2021. Retrieved July 15, 2021.
  237. ^ Hayes, R. H., Wheelwright, S. C. and Clark, K. B. (1988), Dynamic Manufacturing, New York: The Free Press, quoted in Wassenhove, L. van and Corbett, C. J., “Trade-Offs? What Trade Offs? (A Short Essay on Manufacturing Strategy“, p. 1, INSEAD, published April 6, 1991, accessed September 27, 2023
  238. ^ R. Sarmiento, G. Whelan, M. Thürer and F. A. Bribiescas-Silva, “Fifty Years of the Strategic Trade-Offs Model: In Memory and Honor of Wickham Skinner”, in IEEE Engineering Management Review, vol. 47, no. 2, pp. 92–96, 1 Second Quarter, June 2019, doi:10.1109/EMR.2019.2915978, accessed August 22, 2023
  239. ^ Skinner, W., “Focused Factory“, Harvard Business Review, published May 1, 1974.
  240. ^ Jump up to:a b Wassenhove, L. van and Corbett, C. J., “Trade-Offs? What Trade Offs? (A Short Essay on Manufacturing Strategy“, p. 2, INSEAD, published April 6, 1991, accessed September 27, 2023
  241. ^ Haas, E. A., “Breakthrough Manaufacturing”, Harvard Business Review, March/April 1987, pp. 75–81
  242. ^ Skinner, W., “Missing the Links in Manufacturing Strategy” in Voss, C. A. (ed) (1992), Manufacturing Strategy – Process and Content, Chapman and Hall, pp. 12–25
  243. ^ Hill, T., Manufacturing Strategy: Developments in Approach and Analytics, University of Warwick, 1990, accessed 28 September 2023
  244. ^ Hill, T. (1993), Manufacturing Strategy, second edition, Macmillan, chapter 2
  245. ^ Di Stefano, Cristina; Fratocchi, Luciano; Martínez-Mora, Carmen; Merino, Fernando (August 2, 2023). “Manufacturing reshoring and sustainable development goals: A home versus host country perspective”. Sustainable Development. 32: 863–875. doi:10.1002/sd.2710. hdl:10045/136803.
  246. ^ Young, Julie. “Unit Cost Definition”. investopedia.com. Investopedia. Archived from the original on May 20, 2022. Retrieved May 20, 2022.
  247. ^ Spence, Michael (1984). “Cost Reduction, Competition, and Industry Performance”. Econometrica. 52 (1). Econometrica – Journal of the Economic Society, Vol. 52, No. 1 (Jan. 1984): 101–121. doi:10.2307/1911463. JSTOR 1911463. Archived from the original on March 5, 2022. Retrieved May 20, 2022.
  248. ^ “PPC-R01.2N-N-V2-FW | PPC Controllers | Indramat Controls | Indramat USA”. indramat-usa.com. Retrieved May 30, 2024.
  249. ^ “Manufacturing Program”. Centres for Disease Control and Prevention. February 11, 2019. Archived from the original on April 3, 2019. Retrieved March 14, 2019.
  250. ^ “National Occupational Research Agenda for Manufacturing”. Centres for Disease Control and Prevention. February 4, 2019. Archived from the original on June 18, 2019. Retrieved March 14, 2019.
  251. ^ Manufacturing and Investment Around the World: An International Survey of Factors Affecting Growth and Performance (2nd ed.). Manchester: Industrial Systems Research. 2002. ISBN 0-906321-25-5. OCLC 49552466.
  252. ^ Research, Industrial Systems (2002). Manufacturing and Investment Around the World: An International Survey of Factors Affecting Growth and Performance. Industrial Systems Research. ISBN 978-0-906321-25-6. Archived from the original on April 1, 2021. Retrieved November 19, 2015.
  253. ^ David Bailey; Soyoung Kim (June 26, 2009). “GE’s Immelt says U.S. economy needs industrial renewal”. Reuters. Archived from the original on December 12, 2020. Retrieved March 6, 2023.
  254. ^ “Why Does Manufacturing Matter? Which Manufacturing Matters?”. February 2012. Archived from the original on October 8, 2012.
  255. ^ Martin Crutsinger (2007). “Factory Jobs: 3 Million Lost Since 2000”. USA Today. Associated Press. Archived from the original on December 4, 2022. Retrieved March 6, 2023.
  256. ^ “UNIDO Statistics Data Portal”. Archived from the original on October 5, 2021. Retrieved October 5, 2021.
  257. ^ “Leading Manufacturing Nations”. July 15, 2021. Archived from the original on March 4, 2022. Retrieved March 14, 2022.
  258. ^ “UNIDO’s Competitive Industrial Performance Index 2020: Country Profiles”. unido.org. Archived from the original on April 6, 2022. Retrieved June 21, 2022.
  259. ^ “Competitive Industrial Performance Index 2020: Country Profiles ( Report)”. stat.unido.org. Archived from the original on January 10, 2022. Retrieved June 21, 2022.
  260. ^ “2022 United States Manufacturing Facts”. NAM. Retrieved November 8, 2024.
  261. ^ “All Employees, Manufacturing/All Employees, Total Nonfarm*100 | FRED | St. Louis Fed”. fred.stlouisfed.org. Retrieved November 8, 2024.
  262. ^ “Employment in manufacturing in January 2023: +1.5% year on year”. Retrieved November 8, 2024.
  263. ^ “Manufacturing, Value Added (Current US$)”. World Bank. Archived from the original on January 7, 2020. Retrieved July 14, 2021.