Collection
Human-Machine Collaboration and Employees Productivity
- Submission status
- Closed
Human-Machine Collaboration has transformed the path of humanity and have become the pre-eminent mover of the advancement of human knowledge. It has given us incredible tools and services, allowing us to access a wealth of knowledge. This intelligent technology has brought us new era on how we interact, entertain, and work in recent years. Traditional workplaces evolved virtually through modern technology products and simplified the complex work where anyone can work for their organisation anytime. Although the human-machine collaboration enables the employees to work flexibly at their desired location, it has its downsides, dramatically impacting productivity. It thus significantly affects the creativity, motivation, innovation, consistency and coordination towards their business. An employee working in a digital environment may face various struggles due to the paradigm shift of work culture. Limited or lack of project-based work, feedbacks, face-to-face interaction, variations in cross-functional collaboration, feeling of belonging to the organisation, and many cultural differences can adversely impact the behaviour and productivity of employees. Along with that, the workforce and organisation are digitally divided, which facilitates adaptability and communication issues. Moreover, the divide is vast in some aspects of legacy, technical errors, limited devices or access, work satisfaction and peer support. This can lessen the workforce's productivity adversely and prohibit their ability to perform duties or tasks at the assigned times.
Further, the unplanned changes in the workplace, management plans, typical targets, core mission or values and significant restructuring of the work of an organisation holds a massive impact on employee's productivity which negatively impacts the overall performance. Indeed, these aspects can be incredibly challenging, not only in productivity but also in physical and mental health. Since remote working has been increasingly implemented in most corporate, technical, and other industries, addressing these issues is equally important. Also, the recent pandemic drove every organisation into remote or digital work due to infection control measures. Chances are high for low productivity, as employees get used to the critical situation for a prolonged period. Also, the future digital era would be primarily based on digital work rather than the physical work environment. Hence, it is crucially important to address the on-going crisis in the digital workplace for the present methodologies and the future betterment. This special issue aims to explore the impact of culture, digital divide, and changing features in the workplace over employee productivity and the importance of addressing the issue. We welcome researchers and practitioners from different disciplines to present novel and innovative solutions against this background.
LIST OF TOPICS AREAS INCLUDE, BUT ARE NOT LIMITED TO:
• Impact of human-machine collaboration on work from home employees
• Innovative and intelligent technological strategies to enhance employee productivity in the workplace.
• Challenges of the human-machine collaboration on organisation and employee's wellness.
• Advanced solutions to improve employee engagement in the digital workplace.
• Psychological and social impacts on remote work transformation with the recent human-machine collaboration
• Influence of working from anywhere on employee productivity.
• Effective ways to mitigate technical challenges for employee productivity.
• Current and future trends in remote work.
• Impact of Social stigma and discrimination on employee performance
• Future human-machine workforce culture and practices during uncertainty
• Future advancements and technologies of enabling human-machine workforce.
• Cultural effects and barriers of the digital work environment.
• Diversity and inclusion during a pandemic – Need and importance to imply them on remote workers
• Changing features of the workplace and its effects on employee productivity.
Editors
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Dr. Faheem Khan
Assistant Professor, Department of Computer Engineering, Gachon University, Seongnam, South Korea
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Dr. Rahat Ullah
Associate Professor, School of Physics and Optoelectronics, Nanjing University of Information Science and Technology (NUIST), Nanjing, China
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Dr. Umme Laila
Assistant Professor, Computer Engineering Department, Sir Syed University of Engineering & Technology, Karachi, Pakistan
Articles (7 in this collection)
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Green cloud computing adoption challenges and practices: a client’s perspective-based empirical investigation
Authors (first, second and last of 6)
- Ashfaq Ahmad
- Rafiq Ahmad Khan
- Youngmoon Lee
- Content type: Original Article
- Published: 11 August 2023
- Pages: 427 - 446
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Factors influencing vendor organizations in the selection of DevOps for global software development: an exploratory study using a systematic literature review
Authors (first, second and last of 5)
- Saad Ullah Khan
- Abdul Wahid Khan
- Youngmoon Lee
- Content type: Original Article
- Published: 07 August 2023
- Pages: 411 - 426
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Investigating the dynamic relationship between stigma of fear, discrimination and employees performance among healthcare workers during Covid-19 pandemic
Authors (first, second and last of 6)
- Naveed Saif
- Imrab Shaheen
- Jawad Khan
- Content type: Original Article
- Published: 31 July 2023
- Pages: 385 - 395
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An empirical study for prioritizing issue of software project management team
Authors (first, second and last of 7)
- Abdul Wahid Khan
- Muhammad Sana Ullah
- Javed Khan
- Content type: Original Article
- Published: 20 July 2023
- Pages: 397 - 410
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Towards efficient human–machine interaction for home energy management with seasonal scheduling using deep fuzzy neural optimizer
Authors (first, second and last of 6)
- Sakeena Javaid
- Nadeem Javaid
- Muhammad Shahid Anwar
- Content type: Original Article
- Published: 15 June 2023
- Pages: 291 - 304
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A novel hybrid requirement’s prioritization approach based on critical software project factors
Authors (first, second and last of 6)
- Hasna Arshad
- Saima Shaheen
- Musaed Alhussein
- Content type: Original Article
- Published: 01 June 2023
- Pages: 305 - 324