Exploring the intersection of digital transformation and workforce productivity: A comprehensive bibliometric review Article Swipe
Muhammad Hammad
,
Omar Khatijah
,
Halim Muhammad Abi Sofian Bin Abdul
,
S. A. Syed Asif
,
Abid Muqaddas
,
Zafar Muhammad Junaid
,
Jihad Asad
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.31893/multirev.2025164
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.31893/multirev.2025164
This bibliometric analysis explores the scholarly landscape surrounding the topic of digital transformation (DT) and its impact on employee performance. Drawing upon a comprehensive review of relevant literature, the study examines trends, patterns, and emerging themes in research published over the past two decades. The analysis encompasses a wide range of interdisciplinary fields, including management, information systems, human resources, and organizational behavior, reflecting the multifaceted nature of digital transformation research. Key findings reveal a significant increase in publications on digital transformation and employee performance, with notable thematic clusters emerging around the role of digital technologies, organizational culture, and strategic capabilities in driving performance outcomes. Additionally, the analysis identifies prominent journals, authors, and institutions contributing to this research area, providing valuable insights for scholars and practitioners alike. Overall, this bibliometric analysis offers a comprehensive overview of the scholarly discourse on digital transformation and employee performance, highlighting avenues for future research and practical implications for organizational management and policy development.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.31893/multirev.2025164
- OA Status
- diamond
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4407284794Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.31893/multirev.2025164Digital Object Identifier
- Title
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Exploring the intersection of digital transformation and workforce productivity: A comprehensive bibliometric reviewWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-12-22Full publication date if available
- Authors
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Muhammad Hammad, Omar Khatijah, Halim Muhammad Abi Sofian Bin Abdul, S. A. Syed Asif, Abid Muqaddas, Zafar Muhammad Junaid, Jihad AsadList of authors in order
- Landing page
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https://doi.org/10.31893/multirev.2025164Publisher landing page
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.31893/multirev.2025164Direct OA link when available
- Concepts
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Productivity, Workforce, Intersection (aeronautics), Digital transformation, Transformation (genetics), Business, Computer science, Data science, Regional science, Engineering, Sociology, Economics, Economic growth, Transport engineering, World Wide Web, Gene, Chemistry, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.implications | 151 |
| abstract_inverted_index.institutions | 112 |
| abstract_inverted_index.multifaceted | 64 |
| abstract_inverted_index.performance, | 83, 143 |
| abstract_inverted_index.performance. | 19 |
| abstract_inverted_index.publications | 77 |
| abstract_inverted_index.Additionally, | 104 |
| abstract_inverted_index.comprehensive | 23, 132 |
| abstract_inverted_index.practitioners | 124 |
| abstract_inverted_index.technologies, | 94 |
| abstract_inverted_index.organizational | 60, 95, 153 |
| abstract_inverted_index.transformation | 12, 68, 80, 140 |
| abstract_inverted_index.interdisciplinary | 51 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 7 |
| citation_normalized_percentile.value | 0.74193032 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |