Table 4 TCCM categorization Particulars... | Emerald Publishing

Table 4

TCCM categorization

Particulars	First phase (2015–2020)	Second phase (20 21 onwards)
Theoretical perspectives (T)	Human Capital Theory; Dynamic Capabilities Theory; Institutional Theory; Resource-Based View (RBV); Contingency Theory	+ Technology Acceptance Model (TAM); Sociotechnical Systems Theory; Diffusion of Innovations Theory; Unified Theory of Acceptance and Use of Technology (UTAUT); Media Richness Theory
Context (C)	Technology Manufacturing Healthcare Finance Retail Education	+ Hospitality Telecommunications Public Sector Energy and Utilities Logistics and Transportation Nonprofit Organizations
Key contributing factors (C)	HR information systems (HRIS); Automation; Data Analytics	+ Cloud-Based Solutions: AI and Machine Learning Mobile Accessibility: Employee Self-Service; Integration; Customization; Real-Time Updates
Prominent methodologies (M)	Surveys, statistical analysis, and econometric models to measure the impact of digital HRM practices	+ Case studies, interviews, and ethnographic studies to explore the implementation and adoption processes Mixed Methods: Combining quantitative and qualitative approaches to provide a comprehensive understanding
Illustrative references	Berber et al. (2018), Kane et al. (2015), Morakanyane et al. (2017)	Zhang and Chen (2024), Strohmeier (2020), Trenerry et al. (2021), Kraus et al. (2022)

Particulars	First phase (2015–2020)	Second phase (20 21 onwards)
Theoretical perspectives (T)	Human Capital Theory; Dynamic Capabilities Theory; Institutional Theory; Resource-Based View (RBV); Contingency Theory	+ Technology Acceptance Model (TAM); Sociotechnical Systems Theory; Diffusion of Innovations Theory; Unified Theory of Acceptance and Use of Technology (UTAUT); Media Richness Theory
Context (C)	Technology Manufacturing Healthcare Finance Retail Education	+ Hospitality Telecommunications Public Sector Energy and Utilities Logistics and Transportation Nonprofit Organizations
Key contributing factors (C)	HR information systems (HRIS); Automation; Data Analytics	+ Cloud-Based Solutions: AI and Machine Learning Mobile Accessibility: Employee Self-Service; Integration; Customization; Real-Time Updates
Prominent methodologies (M)	Surveys, statistical analysis, and econometric models to measure the impact of digital HRM practices	+ Case studies, interviews, and ethnographic studies to explore the implementation and adoption processes Mixed Methods: Combining quantitative and qualitative approaches to provide a comprehensive understanding
Illustrative references	Berber et al. (2018), Kane et al. (2015), Morakanyane et al. (2017)	Zhang and Chen (2024), Strohmeier (2020), Trenerry et al. (2021), Kraus et al. (2022)

Source(s): Authors’ own creation