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Cognition, Technology & Work
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Cognition, Technology & Work - Call for Papers: Human-Machine Collaboration and Employees Productivity

CALL FOR PAPERS:

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.

GUEST EDITOR INFORMATION:

Dr. Faheem Khan, Department of Computer Engineering, Gachon University, Seongnam, South Korea; faheem@gachon.ac.kr (this opens in a new tab)

Dr. Rahat Ullah, School of Physics and Optoelectronics, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China; rahat@nuist.edu.cn (this opens in a new tab)

Dr. Umme Laila, Computer Engineering Department, Sir Syed University of Engineering & Technology, Karachi, Pakistan; ulaila@ssuet.edu.pk (this opens in a new tab)

MANUSCRIPT SUBMISSION – KEY DATES:

  • Submission Deadline: 10th April, 2023
  • Author Notification: 20th July, 2023
  • Revision Deadline: 25th September, 2023
  • Paper Acceptance: 05th December, 2023

PEER REVIEW PROCESS:

The Review Process will be conducted in accordance with the best norms of the discipline and in line with the recommendations outlined by Springer

Authors will submit their papers to the appropriate Special Issue (entitled, "Special Issue: Human-Machine Collaboration and Employees Productivity") via: https://submission.springernature.com/new-submission/10111/3 (this opens in a new tab). The submitted papers will then be available within the online system for the Editors to send out for peer review. If a paper does not meet the criteria required for the Special Issue, the Editors may reject the paper without external peer review or ask the authors for further revisions to be made prior to review.

The peer review of each paper is carried out in the normal manner via the journal’s online submission and peer review system by the Editors or by experts in the area (contacted by the Editors). Once reviews are returned the Editors will need to take a provisional decision and this will be communicated to the Editorial Office.  As articles start to be accepted the Editors will start preparing an introductory article (which will be original and not previously published) to be submitted no later than 3 weeks after the acceptance of the last article in the issue. This introduction should set the scene and provide the premise for the special issue referencing the articles included within. As each article is accepted it will be published and be citable as an Article in Press until the full Special Issue is accepted and complete. Authors will be sent proofs to check during this time. The Editors-in-Chief will adjudicate on any disagreements that arise during the editorial process.

Papers should be submitted through the Cognition, Technology, and Work ‘s editorial manager website: (https://www.springer.com/journal/10111/submission-guidelines (this opens in a new tab))

For formatting guidelines as well as submission instructions, please consult the site abovementioned.

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