Search Results (462)

In the era of sustainable digital transformation, organizations increasingly rely on artificial intelligence (AI) to enhance efficiency, innovation, and long-term competitiveness. However, employees’ psychological barriers, including technostress and innovation resistance, continue to constrain successful and sustainable AI adoption. Grounded in Social Exchange Theory (SET), Conservation of Resources Theory (COR), Diffusion of Innovation Theory (DOI), and the Technology Acceptance Model (TAM), this study develops an integrated model linking perceived organizational support (POS)—comprising emotional, informational, and instrumental dimensions—to employees’ sustainable AI adoption through the dual mediating roles of technostress and innovation resistance. Based on 426 valid responses collected from multiple industries, a triadic hybrid approach combining Structural Equation Modeling (SEM), Artificial Neural Networks (ANNs), and Necessary Condition Analysis (NCA) was applied to capture both linear and nonlinear mechanisms. The results reveal that Informational Support (IFS) is the most influential factor and constitutes the sole necessary condition for high-level AI adoption, while emotional and instrumental support indirectly promote sustainable adoption by mitigating employees’ stress and resistance. This study contributes to sustainable management and AI adoption research by providing insights into the potential hierarchical and threshold patterns of organizational support systems in digital transformation. It also provides managerial implications for designing transparent, empathetic, and resource-efficient support ecosystems that foster employee-driven intelligent transformation. Full article

Supply chains operate in increasingly volatile environments, making it essential to understand the mechanisms through which partner characteristics shape risk-response capability. This study examines how compatibility between supply chain partners promotes collaboration and, in turn, strengthens robustness and resilience. Using survey data from 219 managers in South Korea, the study develops a conceptual model grounded in congruence theory and the dynamic capability view, and tests it through partial least squares path modeling. The results show that compatibility enhances collaboration, which subsequently improves risk-response capability and mediates the effect of compatibility on robustness and resilience. These findings provide empirical support for a capability-building mechanism in which inter-organizational compatibility enables more effective collaborative practices that enhance a supply chain’s ability to withstand and recover from disruptions. The study extends prior research by shifting the discussion of compatibility from interpersonal or person–organization settings to the inter-organizational domain and by demonstrating its critical role in cultivating dynamic capabilities in supply chain risk management. Full article

Environmental accounting adoption remains limited in transitional economies, particularly where formal institutions fail to enforce sustainability mandates. We examine this phenomenon in Albania—an EU candidate country with regulatory requirements but no implementation infrastructure. Drawing on institutional-void theory and resource-based perspectives, we test whether adoption mechanisms diverge when external enforcement is weak. Survey data from 151 Albanian non-financial companies, analyzed using ordinal logistic regression, show that firm size predicts adoption, whereas sector, ownership, and market orientation do not. Critically, individual-level factors—managerial environmental knowledge and pro-environmental values—significantly predict adoption, while external institutional factors exert negligible influence. Analysis of Corporate Sustainability Reporting Directive readiness reveals similar patterns: internal organizational capacities support preparation, whereas external support remains insufficient. These findings demonstrate how institutional voids shape sustainability accounting and provide empirical evidence from an understudied Balkan context. Full article

Despite practice models of trauma-informed care (TIC) emphasizing relational engagement and emotional attunement as critical to service delivery, the role of individual dispositions in shaping staff perceptions and behavior remains underexplored. This study examined how rejection sensitivity, a construct grounded in attachment theory, defined as a dispositional tendency to anxiously expect and overreact to perceived rejection, may influence staff perceptions of their roles and client relationships in residential mental health agencies implementing TIC. We further explored whether individual and organizational factors, including job satisfaction, prior trauma training, perceived isolation at work, and trauma-related knowledge, contribute to these associations. Regression analyses were conducted on survey data from 155 frontline staff across three agencies testing the associations between rejection sensitivity and two relational outcomes: perceptions of work and of clients. Higher rejection sensitivity was significantly associated with more disengaged perceptions of work and less empathic views of clients, even after controlling for demographic and contextual organizational variables. Job satisfaction and trauma knowledge emerged as domain-specific protective factors, reducing the negative impact of rejection sensitivity. The findings underscore the importance of addressing staff relational dispositions to sustain effective TIC implementation. Enhancing job satisfaction and trauma knowledge may help support staff engagement in trauma-informed practice. Full article

This study investigates how technostress and work intensification jointly influence employee health harm through two distinct stressor-strain pathways within Pakistan’s manufacturing sector. The proposed model specifies two mechanisms, (1) technostress induces IT strain that contributes to health harm, moderated by user satisfaction; and (2) work intensification heightens emotional exhaustion that similarly leads to health harm, moderated by perceived organizational support. Grounded in Conservation of Resources (COR) theory, the framework explains how cumulative digital and organizational demands deplete employee resources, amplifying both psychological and physical harm. A cross-sectional quantitative design was employed, utilizing a structured self-administered questionnaire administered to mid and senior-level employees across manufacturing firms. A total of 252 valid responses were analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM) using Smart PLS 4. Results revealed that both IT strain and emotional exhaustion significantly mediated the effects of technostress and work intensification, respectively, on health harm. Moreover, user satisfaction significantly moderated the IT strain-health harm relationship, indicating that higher satisfaction with digital tools mitigates the adverse impact of technological stress. Similarly, organizational support weakened the association between emotional exhaustion and health harm, underscoring its protective role in high-pressure work settings. This study offers theoretical advancement by integrating fragmented stressor-strain models and offers practical recommendations to foster digital well-being and supportive organizational work cultures in evolving industrial contexts. Full article

The interaction between two critical resources, emotional intelligence (EI) and perceived organizational support (POS), is studied to understand how they come together to associate resilience and well-being among healthcare professionals. Based on the Conservation of Resources (COR) theory and the Job Demands–Resources (JD-R) model, we explore whether these resources are synergistic or whether there is a substitutive relationship when combined. Data were collected from 304 healthcare professionals in Saudi Arabia, both local and foreign. Using structural equation modeling, we examined a moderated mediation model in which resilience was examined as a mediator of the associations of EI and POS with well-being, and their interaction was included as a correlate of both resilience and well-being. EI and POS both individually showed positive association with resilience and well-being. However, in interaction, they significantly negatively associated with both resilience and well-being, suggesting a substitution effect—i.e., high levels of one resource are linked to a lower marginal value of the other. This suggests a nonlinear dynamic to resource accumulation among pressured healthcare workers. This study advances COR and JD-R theories by uncovering a substitution effect between emotional intelligence and organizational support, offering fresh insights into resource dynamics among healthcare professionals. Full article

This study investigates the impact of Internet of Things (IoT) demand on Digital Economic Growth (DEG) in Saudi Arabia between 2015 and 2023, employing both linear regression and a panel Autoregressive Distributed Lag (ARDL) model. The results show a long-term, significant, and positive association between IoT adoption and DEG, supported by the Technology Organization Environment (TOE) framework, highlighting the relevance of technology readiness and organizational capacity. Moreover, Internet penetration is a significant driver of digital transformation, aligned with the Diffusion of Innovations (DOI) theory, which emphasizes the role of connectivity in facilitating the adoption of digital devices. IoT will have little or no impact in the short term, but in the long run, the benefits are clear. Furthermore, despite the long- and short-term benefits of 5G deployment indicated by the results, a divergence between 5G deployment and electricity consumption is signaled by the significance of the error-correction term, which may be attributed to infrastructure and deployment prerequisites. Additionally, as an extension of the Resource-Based View (RBV) paradigm, the ultimate drivers of DEG through innovation and strategic resources highlight the importance of Research and Development (R&D) investment and Foreign Direct Investment (FDI) in inducing its growth. In contrast, inflation has an adverse impact on DEG, confirming macroeconomic instability as an obstacle to digital advancement, which relates to the environmental pillar of TOE. Policymakers can maximize Saudi Arabia’s digital economic growth on a sustainable, stronger path by investing in IoT infrastructure, increasing internet access and adoption, enhancing R&D and institutional support, and addressing challenges related to macroeconomic stability and 5G deployment. This study adds to the extant research by empirically evaluating the short- and long-term effects of IoT adoption on Saudi Arabia’s digital economic development, thereby providing insights into the roles of innovation, infrastructure, and institutional support in driving digital transformation. Full article

Innovation in the pharmaceutical industry is increasingly recognized as a systemic and interdependent process that requires holistic coordination across technological, organizational, and marketing domains. This study examines the structural interrelationships among six dimensions of marketing innovation—process, product, organization, price, promotion, and distribution—within Indonesia’s pharmaceutical sector. Using Fuzzy Interpretive Structural Modeling (Fuzzy ISM), expert evaluations from clinical, industrial, and regulatory professionals were analyzed to identify causal linkages and feedback loops that characterize sustainable innovation systems. The results show that marketing innovation functions not as a hierarchical structure but as a dynamic, circular configuration termed the Integrated Cycle Model of Sustainable Marketing Innovation. Each dimension simultaneously acts as both a driver and a dependent element, forming continuous reciprocal interactions that enhance adaptability, strategic resilience, and competitive advantage. The absence of a dominant driver highlights the need for systemic orchestration rather than isolated innovation initiatives. The study advances systemic innovation theory by demonstrating that sustainability in pharmaceutical marketing emerges from multidirectional feedback and balanced capability alignment across all innovation dimensions. The Integrated Cycle Model offers theoretical and managerial insights for designing coordinated innovation strategies and policy frameworks that support sustainable growth in emerging markets. Full article

This study investigates a theory-driven causal model explaining the determinants of Smart Campus success in Thailand, drawing on the Technology–Organization–Environment (TOE) framework. Data were collected from 96 senior administrators across 126 higher education institutions using a validated questionnaire (IOC ≥ 0.50; Cronbach’s alpha = 0.992). Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) reveal that technological, organizational, and environmental factors each exert significant positive influences on four performance domains—economic, social, environmental, and governance—that together define Smart Campus success. The structural model shows a strong fit (χ² = 988.222, p = 0.0532; CFI = 0.998; TLI = 0.980; SRMR = 0.017; RMSEA = 0.059), and all sixteen hypotheses were supported (p < 0.05). Organizational readiness emerged as the most influential determinant, particularly for social outcomes (β = 0.326), emphasizing the importance of leadership commitment, institutional culture, and internal preparedness in digital transformation. Among the outcome domains, economic performance contributed most strongly to Smart Campus success (β = 0.416). Overall, the findings confirm the relevance of the TOE framework for understanding digital transformation in higher education and provide actionable guidance for policymakers and university leaders seeking to enhance innovation capacity, competitiveness, and sustainable development in Thai and similar institutional contexts. Full article

Abusive supervision remains a pervasive and damaging phenomenon in organizations, prompting a critical need to understand preventive mechanisms. We adopt a leader-centric, actor-focused perspective to investigate how a positive organizational context can inhibit leaders’ destructive behaviors. Drawing on Affective Events Theory (AET), we propose that leaders’ awareness of their organization’s philanthropic activities serves as a positive, morally salient event that generates feelings of moral pride. This pride, in turn, is theorized to reduce the likelihood of abusive supervision. Furthermore, we posit that this process is contingent on leaders’ moral reputation maintenance concerns, such that the negative relationship between moral pride and abusive supervision is stronger for leaders who are highly concerned with being perceived as moral. We tested this model using a three-wave survey study involving 434 leaders. The results support our hypotheses, indicating that perceived philanthropy awareness is positively associated with moral pride, which, in turn, predicts lower abusive supervision. This indirect effect is significantly stronger for leaders with high moral reputation maintenance concerns. Our findings contribute to the literature by identifying a novel, positive, and self-regulatory pathway for preventing abusive supervision and showing that applying AET to understand how macro-level organizational good deeds can translate into improved micro-level leader conduct. Full article

This study investigates the challenges faced by small- and medium-sized manufacturing enterprises (SMEs) as they attempt to respond to decarbonization demands and expand into renewable-energy markets. Drawing on three waves of free-response surveys conducted between 2021 and 2024, and applying the KJ qualitative synthesis method, the analysis identifies multi-layered constraints across financial, technological, human resource, organizational, and institutional domains. The findings show that the central difficulty for SMEs lies in reconciling exploration—the pursuit of new technologies and business opportunities—with exploitation—the need to maintain and improve existing operations. External stakeholder pressure frequently accelerates this tension, compelling SMEs to initiate environmental actions even when internal capabilities remain insufficient. Based on the emergent patterns, the study develops an “Exploration–Exploitation Support Matrix,” providing a practical framework for policymakers to design coordinated support measures. The study contributes to the integration of eco-innovation, absorptive capacity, and ambidextrous management theories and offers actionable insights for promoting sustainable SME transitions. Full article

Background/Objectives: Ethical leadership (EL) propels and enhances employee performance (EP), especially in healthcare, where ethics are paramount. However, existing research lacks a focus on how EL functions within Saudi Arabia (SA)’s public healthcare context. Primarily, this research investigates how EL directly affects EP. The research also investigates how organizational support (OS) influences EP and moderates the EL-to-EP relationship. Methods: This cross-sectional study consisted of 312 responses from doctors, nurses, and other administrators within Saudi public healthcare units. To analyze the collected data statistically, structural equation modeling (SEM) was opted for with the help of Smart-PLS 4. It helped to assess the direct effects of EL and OS on EP and further examine OS’s moderating role. A multigroup analysis (MGA) was also conducted in comparative form. It examined subgroup variations across gender, age, marital status, experience, and departmental affiliation. Results: The findings confirmed a positive impact of EL on EP. Moreover, a positive effect of OS on EP was also confirmed. Similarly, OS strengthened the positive effect of EL on EP. The MGA revealed variations across employee groups. It offered practical insights into how EL and OS function in diverse organizational contexts. These differences across groups reflect cultural and structural features of Saudi public healthcare. Conclusions: The extended research contributes to the literature on ethical leadership (EL) theory by applying contextual and demographic contingencies within the Saudi public healthcare sector. It also introduces OS as a significant moderator and provides actionable implications for improving performance through context-sensitive leadership and support strategies. Full article

Micro, small, and medium enterprises (MSMEs) are recognized as the cornerstone of Indonesia’s economy, especially in the agriculture, fisheries, and tourism sectors. Given Asta Cita’s ambitious vision for the country, which emphasizes inclusive and sustainable development, MSMEs are under increasing pressure to improve their competitiveness and financial performance. This research aims to develop and empirically evaluate a comprehensive policy framework that identifies digitalization, sustainable development, and innovation as the primary catalysts for MSME progress, with government support as a mediating variable, grounded in dynamic capabilities and institutional theories. A quantitative methodology was used to collect primary data from 435 MSME respondents in North Sulawesi, which was then analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings show that digitalization, sustainable practices, and innovation have a substantial, positive impact on the financial performance of MSMEs. However, government support cannot mediate the influence of digitalization, sustainable development, and innovation on improving economic performance. This shows that internal organizational competencies are more important than external interventions in achieving financial success. The results of this study underscore the need for MSMEs to prioritize technology integration, incorporate sustainability into their business frameworks, and continue innovating to maintain resilience and competitiveness. Full article

Occupational safety in high-risk sectors, such as mining, depends heavily on understanding and predicting workers’ behavioural risks. However, existing approaches often overlook the psychological dimension of safety, particularly how psychological-contract violations (PCV) between miners and their organizations contribute to unsafe behavior, and they rarely leverage interpretable artificial intelligence. This study bridges that gap by developing an explainable AutoML framework that integrates AutoGluon, SHAP, and LIME to classify miners’ safety behaviors using psychological and organizational indicators. An empirically calibrated synthetic dataset of 5000 miner profiles (20 features) was used to train multiclass (Safe, Moderate, and Unsafe) and binary (Safe and Unsafe) classifiers. The WeightedEnsemble_L2 model achieved the best performance, with 97.6% accuracy (multiclass) and 98.3% accuracy (binary). Across tasks, Post-Intervention Score, Fatigue Level, and Supervisor Support consistently emerge as high-impact features. SHAP summarizes global importance patterns, while LIME provides per-case rationale, enabling auditable, actionable guidance for safety managers. We outline ethics and deployment considerations (human-in-the-loop review, transparency, bias checks) and discuss transfer to real-world logs as future work. Results suggest that interpretable AutoML can bridge behavioural safety theory and operational decision-making by producing high-accuracy predictions with transparent attributions, informing targeted interventions to reduce unsafe behaviours in high-risk mining contexts. Full article

Background: Despite evidence of potential benefits, variability in exercise types, psychological outcomes, and methods hinders comprehensive cost-effectiveness evaluation, framed through Stimulus–Organism–Response (S–O–R) theory. In this context, Workplace Physical Activity-Based Programs (WPABPs) serve as environmental stimulation that influences employees’ emotional states, which in turn shape mental health outcomes and behavioral responses. Research Purpose: This systematic review examines WPABPs through the social dimension of the Environmental, Social, Governance (ESG-S) framework, with a focus on their impact on employees’ mental health. Methods: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, eligibility was assessed via the PICO (Population, Intervention, Comparison, Outcome) framework. The ScienceDirect, Scopus, Google Scholar, and PubMed databases were searched using Medical Subject Headings (MeSH) aligned keywords and Boolean operators. Results: Of the 961 articles identified, 15 studies (2021–2025) met the inclusion criteria. WPABPs were found to improve employee mental health, reduce stress, and enhance well-being. Individualized interventions supported targeted psychological benefits, while group formats promoted social cohesion and engagement. Variations in type, duration, and delivery, as well as accessibility barriers for underrepresented employees, were noted. WPABPs enhance employee well-being and organizational outcomes, contributing to the Sustainable Development Goals (SDGs), specifically SDG 3 (Good Health and Well-being) and SDG 8 (Decent Work and Economic Growth). Conclusions: Hybrid models combining individual and group approaches with managerial and digital support are recommended. Integrating WPABPs within ESG-S and Corporate Social Responsibility (CSR) frameworks can institutionalize sustainable workplace health promotion, while future research should focus on standardized, inclusive, and long-term evaluations. Full article