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Human Resource Development and Retention in the Digital Age: Best Practices and Technologies for Maximizing Positive Employee Outcomes

Special Issue Information

Dear Colleagues,

The aim of this Special Issue is to examine the best practices and technologies that employers can use to enhance positive employee outcomes. Younger generations (Y, Z, and A) have grown up in environments with far greater technologies than their older counterparts (X, Boomers, and the Silent generation), so they may be more comfortable using a variety of technologies in their workplaces. Internet communication, social media, and artificial intelligence have and are contributing to our cultural context and workplace experiences around the globe. These and other technologies can be harnessed to maximize efficiencies and minimize costs to achieve competitive and sustainable advantages.

How can business leaders leverage these and other technologies in the workplace to create organizational cultures that help to maximize employee well-being, satisfaction, and other desirable outcomes? Which practices and technologies should business leaders use to recruit, select, train, develop, appraise, compensate, incentivize, and/or retain top talent? Which practices or technologies can provide workforces with greater flexibility, authenticity, autonomy, and transparency? And finally, which practices and technologies should they avoid?

Dr. Stephanie J. Thomason
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • human resource development
  • retention
  • turnover
  • well-being
  • job satisfaction
  • artificial intelligence
  • social media
  • multi-generational workforce
  • organizational culture

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Adm. Sci. - ISSN 2076-3387