The digital transformation paradox: Unravelling the interplay of technology acceptance, employee well-being, and organizational performance in the era of artificial intelligence
A novel Ethical Dual-Pathway Technology Acceptance Model (EDP-TAM) is advanced, offering actionable guidance for organizations to implement AI that simultaneously optimises performance and safeguards employee well-being.
Abstract
Despite 72 percent of organizations adopting artificial intelligence, nearly half of implementations fail due to employee resistance, a paradox that challenges technology acceptance models. Prior research has examined either cognitive acceptance or motivational responses in isolation, leaving the interplay between these pathways and their ethical contingencies unresolved. This research addresses this critical gap through a sequential explanatory mixed-method design combining a quantitative survey of 1,785 employees in AI-adopting organizations with in-depth qualitative interviews with 19 participants, analysed using SmartPLS 4 for structural equation modelling and NVivo 14 for thematic analysis. The findings reveal three key insights. First, psychological empowerment mediates the relationship between technology characteristics and job satisfaction more strongly than technology acceptance, a counterintuitive finding that challenges the technology acceptance model's 30-year dominance. Second, job satisfaction emerges as the strongest predictor of organizational performance. Third, ethical leadership moderates both pathways, such that high ethical leadership amplifies empowerment effects by 34 percent. This research advances a novel Ethical Dual-Pathway Technology Acceptance Model (EDP-TAM), offering actionable guidance for organizations to implement AI that simultaneously optimises performance and safeguards employee well-being.
This study examines whether adopting artificial intelligence (AI) strengthens organizational resilience when the operating environment is hostile, and identifies the internal conditions an organization must satisfy before an AI investment translates into resilience. Two mechanisms anchor the argument: employee digital literacy, which carries the effect, and an innovation-supportive climate, which conditions it. We surveyed 400 employees across three premium hotels in Baghdad, Iraq, sampled by operational level, and tested the model with structural equation modeling in AMOS 26.0. The results show that AI adoption alone yields only a modest direct gain in resilience. Slightly more than half of its total effect on organizational resilience operates through employee digital literacy rather than flowing directly, and this indirect path strengthens where employees work in a climate that rewards experimentation. For practice, the findings position AI as a potential resource rather than a self-contained solution: hotels that invest in the technology without a parallel investment in the people who operate it, and in the climate they work in, realize only part of the available return. Theoretically, we interpret the case through the resource-based view (RBV) and dynamic capabilities theory (DCT): AI adoption supplies the strategic resource, employee digital literacy is the dynamic capability that activates it, and innovation-supportive climate is the boundary condition governing how freely that capability is exercised. The framework should extend to other settings where organizations operate with limited resources under sustained instability
Hasan Mutashar Gbouri· Arab Economic and Business J...· 0 citations
Background: Digital transformation has become a strategic imperative for organizations operating in volatile and uncertain environments. However, this transformation simultaneously generates significant psychological demands on employees, particularly in the form of techno-stress. While prior research has examined digital transformation and employee outcomes separately, limited attention has been given to the mechanism through which digital transformation pressure impairs employee creative performance, and whether digital leadership can serve as a protective moderating factor.
Objective: Drawing on Conservation of Resources (COR) Theory, this quantitative study examines the mediating role of techno-stress in the relationship between digital transformation pressure and employee creative performance, and the moderating role of digital leadership.
Methods: We collected data from 385 employees across private-sector organizations in West Java, Indonesia, via a two-wave online survey. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used for hypothesis testing.
Results: Findings confirm that: (1) digital transformation pressure positively predicts techno-stress; (2) techno-stress negatively affects creative performance; (3) techno-stress fully mediates the relationship between digital transformation pressure and creative performance; and (4) digital leadership significantly moderates the indirect effect, attenuating the negative impact of techno-stress on creative performance.
Conclusion: This study provides empirical evidence that digital leadership serves as a critical organizational resource that mitigates the negative impact of digital transformation pressure on employee creative performance through techno-stress. The findings highlight the importance of strengthening digital leadership competencies to sustain employee creativity during digital transformation while extending the application of Conservation of Resources (COR) Theory in the context of a rapidly digitalizing developing economy.
Wawat Hermawati, M. Mahfud, Bagas Taqwa et al.· Inkubis Jurnal Ekonomi dan B...· 0 citations
As automated technology advances rapidly, human employees’ fear of being replaced (i.e., technology-induced job insecurity) has become a widespread stress in today’s workplace. It is crucial for organizations to recognize this new technological challenge and address its impact appropriately. Therefore, to systematically understand its impacts and explore potential buffering factors, the present research conducts a systematic review and meta-analysis of 96 studies (N = 43,104 individuals). Drawing on the tripartite response model, we classify their outcome variables into three broad categories encompassing nine subgroups. Furthermore, integrating stress appraisal theory and threat-rigidity theory, we examine two critical moderators reflecting specific coping capability against technological threats. Our findings indicate that technology-induced job insecurity is systematically associated with employees’ cognition, affection, and behavior. Notably, the moderation analysis highlights distinct boundary conditions under which these associations vary across different outcomes, emphasizing the complexity of these effects. Specifically, low threat proximity—providing a crucial time buffer before the actual threat happens—is associated with weaker negative attitudes toward the organization, and lower withdrawal and resistance behaviors. Individuals’ high learning ability—reflecting strong adaptive flexibility—is associated with weaker negative appraisals of the job itself and more sustained proactive behaviors. In summary, the present research contributes to a systematic understanding of how technology-induced job insecurity is related to human psychology and behaviors at work, thereby offering valuable insights to inspire future research and management practice.
Digital transformation, together with the rapid growth of artificial intelligence (AI) and the increasing instability of the labor market, continues to have a significant influence on the way jobs are structured and has created greater uncertainty about long-term career sustainability. In this constantly changing environment, perceived employability (PE) has come to play a crucial role, as it represents how individuals perceive their capacity to secure and maintain employment, as well as the opportunities available to them in the job market. It also reflects expectations about future career prospects, including whether suitable opportunities exist in relation to their qualifications. However, a notable gap still exists in current theories explaining how PE is formed, particularly regarding how rapid technological change reshapes its core components and frame of reference. To address this gap, a systematic literature review (SLR) was conducted to provide a clearer understanding of the multilevel antecedents of perceived employability in the digital era. Following the PRISMA Guidelines, 106 Scopus-indexed articles published between 2005 and 2025 were analyzed. The findings demonstrated that perceived employability is shaped by a complex and interrelated set of antecedents operating at the individual, organizational, and external levels. At the individual level, key antecedents included career attitudes, psychological resources, competencies, and learning experiences. At the organizational level, important factors involved career management practices, access to training and development, job characteristics, and workplace support systems. External antecedents included labor market dynamics, broader socioeconomic conditions, and institutional reputation. Across these levels, digital transformation functioned as a cross-cutting contextual force shaping how these antecedents interact and evolve through digital skills, digital literacy, attitudes toward technology, and technology-related stress. Overall, this review provides an integrative foundation for future research while offering practical insights for organizations, universities, and policymakers seeking to strengthen employability in an increasingly digitalized labor market.