The dual nature of digital transformation psychology

Unknown author

Human Resource Management International Digest2026https://doi.org/10.1108/hrmid-02-2026-0032article
ABDC C
Weight
0.50

What the paper says

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings This article summarizes a study that investigates how digital transformation influences employee work passion through dual pathways: a facilitating path (boosting harmonious passion via psychological availability) and an overloading path (fueling obsessive passion via role overload). The results confirmed that the human side of digital transformation – digital transformational leadership – strengthens the positive effects while mitigating the negative ones, highlighting its pivotal role in shaping employee experiences. Key implementation insights include calls for designing digital work for psychological safety and for cultivating leadership that humanizes technology. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

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https://doi.org/https://doi.org/10.1108/hrmid-02-2026-0032

Or copy a formatted citation

@article{unknown2026,
  title        = {{The dual nature of digital transformation psychology}},
  author       = {Unknown author},
  journal      = {Human Resource Management International Digest},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1108/hrmid-02-2026-0032},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.