Search Results (367)

Saudi Arabia’s construction industry is greatly impacted by rising costs and delays, causing project overruns and high financial pressures. In construction, blockchain technology is a decentralized and secure system that promotes transparency, trustworthiness and effective management of project data and transactions. This research is based on the Technology–Organization–Environment (TOE) framework, which develops and tests a conceptual model to investigate how supply-chain management, smart contracts, transparency and traceability, regulatory compliance and building information modeling (BIM) integration influence blockchain technology adoption, with organizational culture as a moderator. Data from 291 professionals in large Saudi contracting firms were analyzed employing a quantitative, cross-sectional design using SmartPLS. Results confirm all hypothesized factors significantly drive blockchain technology adoption. Organizational culture, acting as a key amplifier, positively moderates all relationships. The model explains 71.1% of the variability in blockchain technology adoption. In order to overcome project challenges and meet Vision 2030’s goals, the results present a validated roadmap for Saudi’s construction sector. The findings show that technical investments and promoting a culture of innovation, collaboration across departments and strong leadership are important for adoption blockchain technology. Full article

Artificial Intelligence capabilities make the organisational innovation process more critical and sustainable, especially in SMEs. This research explored the influence of AI capabilities on organisational innovation within Malaysian SMEs and the role of transformational leadership as a mediator for the above effects, while considering the moderating role of digital organisational culture. The questionnaire was distributed electronically via Google Forms to a study sample of (900) SMEs in Kuala Lumpur, Selangor, and Johor Bahru, targeting owners and managers. Two weeks after distribution, (565) questionnaires were received; however, (215) questionnaires were excluded because the respondents were neither managers nor owners. A total of (350) questionnaires were valid for analysis. Using SMART-PLS software v.4.1.1.6 (PLS-SEM analysis) in analysing data, the study found that AI capability has a positive impact on organisational innovation and a positive impact on transformational leadership. Moreover, transformational leadership has a positive impact on organisational innovation, and transformational leadership mediates the relationship between AI capability and organisational innovation. Furthermore, the study found that digital organisational culture does not moderate the relationship between AI capability and transformational leadership. Digital organisational culture moderates the relationship between AI capability and organisational innovation; also, digital organisational culture moderates the relationship between transformational leadership and organisational innovation. Full article

Artificial Intelligence (AI) will drastically change the way entrepreneurs operate within their respective fields toward sustainable performance. However, although we have some data about how companies will adopt AI and how it is implemented, it is still an under-studied area of research. The goal of this study was to examine the antecedents and consequences of AI Adoption using the Technology–Organization–Environment (TOE) model and Unified Theory of Acceptance and Use of Technology (UTAUT). The researchers collected data from 207 entrepreneurial businesses (including SMEs, startups, and knowledge-based businesses) using a structured questionnaire and analyzed the data using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 3. The study’s findings suggest that facilitating conditions, social influences, and competitive pressures are all important positive factors contributing to the firm’s decision on AI Adoption. On the other hand, the data indicate that performance expectancy is a negative factor related to the company’s decision to adopt because of the “reality check” influence of the initial implementation challenges diminishing ease of use. It is also important to mention that several internal factors including effort expectancy and top management support do not have a direct influence. Most importantly, however, the results show that AI Adoption provides companies with an opportunity for strategic renewal (opportunities) and sustainable business models (holistic sustainability). Also, this research provides insight into the Resource-Based View (RBV) and Dynamic Capabilities (DC) theory by showing that AI Adoption creates a significant competitive advantage for companies, making them more successful at creating entrepreneurial and technology-based firms, while providing them increased economic, environmental, and social performance. In conclusion, AI Adoption is a major game-changer for entrepreneurs interested in sustainable practices and the ability to achieve successful, holistic, and sustainable business performance. Full article

Drawing on Sen’s capabilities approach and digital empowerment frameworks, this study investigates digital literacy as a mediating factor in the conversion of structural resources into empowerment outcomes for indigenous women artisans of native cotton in northern Peru. A cross-sectional explanatory study involving 100 craftswomen used structural equation modeling (PLS-SEM) to examine the impact of technological infrastructure, sociodemographic factors, and sociocultural knowledge on economic, personal, and social empowerment, with digital literacy as the necessary mediating mechanism. A 45-item questionnaire assessed predictor variables, the four mediator dimensions (cognitive, technical, social and communicative competencies) and the three domains of empowerment as dependent variables. PLS-SEM analysis in SmartPLS 4.0 showed that the model fit well (SRMR = 0.072, CFI = 0.931) and that the structural factors accounted for 80.4% of the variance in digital literacy. The mediator had a large effect on all areas of empowerment but had the largest effect on economic empowerment (β = 0.846, R² = 0.709) compared to personal and social empowerment (β = 0.618, β = 0.628, R² ≈ 0.37). The indirect effects validated the mediating role of digital literacy, demonstrating its function as an essential conversion mechanism that transforms infrastructural, sociodemographic, and knowledge resources into tangible empowerment gains. The results provide empirical support for skills-based frameworks in digital inclusion initiatives, advancing SDGs 5, 8, and 9 by illustrating how digital skills empower vulnerable artisanal communities to transform traditional knowledge and access to technology into multifaceted empowerment outcomes. Full article

Cybersecurity has become one of the top priorities in Saudi Arabia, playing a key role in achieving Vision 2030 and advancing the kingdom’s position in digital transformation. This study investigates how cybersecurity knowledge, attitudes, and awareness influence user behaviours in health applications within Saudi Arabia. An online cross-sectional survey was distributed between March and April 2025 among Saudi Arabian residents. The collected data (n = 629) were analyzed using Smart PLS Structural Equation Modelling (SEM) to assess the relationships among the study constructs. The majority of the participants (61.4%) were between the age of 18 and 24, and 87.6% reported using health applications such as Sehhaty or Labayh to manage their health information. Results demonstrated that all three constructs significantly predicted cybersecurity behaviours: knowledge showed the strongest influence (β = 0.372), followed by attitude (β = 0.343) and awareness (β = 0.199), with all paths being statistically significant (p < 0.05). The model explained substantial variance in cybersecurity behaviours. Knowledge, attitude, and awareness significantly predict cybersecurity practices in healthcare application contexts. Findings highlight the critical need for targeted educational interventions focusing on cybersecurity knowledge enhancement and awareness programmes to promote safer digital health behaviours and strengthen patient data protection in Saudi Arabia’s healthcare system. Full article

This study examines how psychological safety (PS) relates to employees’ innovation commitment (IC) in private higher education institutions (HEIs) in Egypt by specifying a learning-based mechanism and two enabling boundary conditions. Drawing on organizational learning theory and commitment research, we surveyed 405 academic and administrative staff (faculty members, teaching assistants, and administrators) across six private universities using validated multi-item measures and analyzed the proposed moderated-mediation model using PLS-SEM (SmartPLS 4), alongside procedural checks to mitigate common method bias. Results indicate that psychological safety is positively associated with knowledge sharing (KS) and innovation commitment, and that knowledge sharing partially mediates the relationship between psychological safety and innovation commitment. The findings further show that transformational leadership (TL) strengthens the positive association between psychological safety and knowledge sharing, while digital readiness (DR) strengthens the positive association between knowledge sharing and innovation commitment. The study contributes by clarifying when psychologically safe climates are most likely to be linked to innovation commitment through day-to-day exchange behaviors and by identifying leadership and digital capability conditions that amplify these relationships in private HEIs. Practically, the results underscore the value of institutionalizing psychologically safe dialog, developing transformational leadership behaviors, and investing in digital infrastructure and skills to make knowledge flows more actionable for innovation-related persistence. Full article

This study investigates how digital transformation in healthcare shapes sustainable customer value by analyzing the role of digital quality and its influence on satisfaction and loyalty within an AI-based diabetes prognostic service. Drawing on system, information, and service quality as core dimensions of digital quality, the study examines their direct effects on satisfaction and their contribution to loyalty formation relative to traditional service factors. Using survey data collected from over 1000 users of a digital healthcare platform equipped with an AI-driven diabetes prognostic algorithm, 800 valid responses were analyzed through PLS-SEM in SmartPLS 4.0. The results show that both traditional service attributes and digital quality significantly enhance customer satisfaction, which in turn promotes loyalty. However, digital quality does not strengthen the satisfaction–loyalty linkage, indicating that its value lies in establishing baseline trust and usability rather than amplifying loyalty outcomes. Environmental uncertainty—captured as technological and market uncertainty—also positively affects loyalty. This study contributes to digital healthcare research by providing empirical evidence from an AI-based long-term prognostic service and clarifying that digital quality operates as a foundational hygiene factor essential for sustainable customer value, rather than as a competitive differentiator. Full article

In the context of accelerated digital transformation, organizations increasingly operate as complex systems in which strategic decision-making is challenged by uncertainty, data heterogeneity, and bounded rationality. The integration of artificial intelligence (AI) into organizational processes is therefore redefining how decisions are supported and enacted. This study develops and validates an integrated conceptual model that explains how trust in AI-based decision support systems (AI-DSSs), data transparency and quality, perceived usefulness, and ease of use influence decision-making efficiency and the intention to adopt AI-DSS in complex organizational contexts. The empirical analysis is based on a questionnaire survey administered to 324 respondents from Romanian organizations operating in IT, services, industry, and public administration. Data were analyzed using partial least squares structural equation modeling (PLS-SEM) implemented in SmartPLS 4. The results show that data transparency and quality strongly enhance trust in AI-DSS (β = 0.784, p < 0.001). Trust positively influences both perceived usefulness (β = 0.229, p < 0.01) and perceived ease of use (β = 0.482, p < 0.001), confirming its role as a key psychological enabler of favorable technology perceptions. Furthermore, perceived ease of use significantly affects perceived usefulness (β = 0.597, p < 0.001). Regarding adoption-related attitudes, perceived usefulness (β = 0.352, p < 0.001), trust (β = 0.311, p < 0.001), and perceived ease of use (β = 0.135, p < 0.05) exert significant positive effects on the intention to adopt AI-DSS, which in turn demonstrates a strong association with decision-making efficiency (β = 0.544, p < 0.001). By extending traditional technology acceptance models (TAM) with AI-specific dimensions—namely transparency, data quality, and trust—this study contributes to the literature on decision-making in complex systems and offers practical insights for organizations seeking to improve decision effectiveness through AI-based support. Full article

This study examines how digital transformational leadership (DTL) drives superior and enduring organizational performance through the mediating roles of organizational agility (OA) and digital transformation (DT) while assessing the contingent moderating role of digital culture (DC). Anchored in the Resource-Based View (RBV), the study conceptualizes DTL as a strategic intangible capability that enables the orchestration of digital and agile resources into sustained performance outcomes in digitally turbulent environments. Data were collected from 284 senior and middle managers across 13 Palestinian commercial banks—a highly regulated sector undergoing intensive digital pressure in an emerging-economy context—using an online survey. The proposed relationships were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0. The results reveal that DTL significantly enhances both OA and DT, which in turn contribute positively to organizational performance. OA and DT operate as both independent and sequential mediators, uncovering a multistage capability-building pathway through which leadership fosters long-term adaptability and resilience. The findings further indicate that digital culture conditions the effectiveness of leadership-driven transformation, shaping how digital initiatives consolidate into enduring organizational routines rather than short-term efficiency gains. By reframing sustainable transformation as the continuity of organizational performance through agility, digital renewal, and cultural alignment—rather than as an ESG outcome alone—this study refines RBV boundary conditions in digital contexts. The study contributes theoretically by clarifying how leadership-enabled capabilities generate sustainable competitive advantage and offers actionable managerial insights for cultivating agility, embedding digital transformation, and strengthening cultural readiness to support long-term organizational resilience. Full article

Grounded in the Theory of Planned Behavior, this study explores how sustainable marketing shapes consumer attitudes, brand image, and brand trust, and their implications for sustainable purchasing behavior among micro, small, and medium enterprises (MSMEs) in Bali. This study also examines the role of local wisdom as a moderating variable in the relationship between sustainable marketing and these three constructs. Using a quantitative approach with SEM-PLS analysis, this study involved 288 respondents who were local consumers of sustainable MSME products. Empirical data were collected through a Google Form-based questionnaire and analyzed using SmartPLS4. The results show that sustainable marketing has a significant effect on attitude, brand image, and brand trust. These three variables are proven to be strong drivers in increasing purchasing decisions for sustainable products. Furthermore, local wisdom does not moderate the relationship between sustainable marketing and attitude, but negatively moderates its relationships with brand image and brand trust, suggesting that culturally rooted consumers apply more critical evaluations to sustainable marketing efforts. These findings highlight the importance of integrating local wisdom authentically into sustainable marketing to strengthen consumer attitudes, brand image, and brand trust. The study contributes to sustainable marketing and consumer behavior theory and provides practical guidance for MSMEs in implementing sustainability strategies aligned with local wisdom. Full article

Perceived safety strongly shapes how residents use and experience their neighborhoods, yet evidence on how spatial and social factors interact in rapidly urbanizing Asian cities remains limited. This study investigates the role of natural surveillance, spatial connectivity, and perceived incivilities in shaping residents’ perceived safety in Bayan Baru, Malaysia, with fear of crime examined as a key mediating factor. A face-to-face survey of 300 adults measured five constructs: natural surveillance, spatial connectivity, perceived incivilities, fear of crime, and perceived safety. Data were analyzed using PLS-SEM in SmartPLS 4.0, supported by bootstrapping and predictive relevance tests. Results showed that natural surveillance and spatial connectivity increased perceived safety both directly and indirectly by reducing fear, while perceived incivilities undermined perceived safety through heightened fear. Additional interdependencies indicated that spatial connectivity strengthened natural surveillance, which in turn reduced perceived incivilities and reinforced perceived safety, though connectivity alone did not directly reduce incivilities. Mediation analysis confirmed fear of crime as a central psychological bridge linking environmental cues to safety evaluations. These findings highlight how the interplay of visibility, connectivity, and disorder shape perceived safety in Malaysian neighbourhood settings. Interventions should combine design improvements, maintenance of public space, and community engagement to reduce fear and strengthen everyday confidence in neighborhood safety. Full article

This research examines the impact of five crucial factors underlying human resource management (HRM), namely, compensation, transformational leadership, motivation, and job satisfaction on sustainable employees’ performance in Lebanese family companies. The research is founded on Social Exchange Theory, Maslow’s Hierarchy of Needs, and Transformational Leadership Theory. Based on a cross-sectional design and quantitative approach, data were collected from 511 full-time employees working for family-owned businesses in Lebanon via structured questionnaires. Structural equation modeling (SEM) using SmartPLS-4 was used to analyze the relationships among the variables. The results point out that job satisfaction, motivation, and the transformational leadership style meaningfully impact employees’ performance. Compensation had a slight yet statistically significant effect. Furthermore, the work environment was found to have both a direct influence on performance and a moderating effect on the relationships between job satisfaction, transformational leadership style, and employees’ outcomes. These outcomes provide theoretical contributions to the literature on HRM in family-owned enterprises and deliver practical insights for improving employees’ performance through targeted HR strategies in emerging economies. The present study concludes by highlighting the role of a supportive environment at work and participative leadership in enhancing performance outcomes, mostly in culturally complex and intergenerational business settings. Full article

Previous studies on innovative work behavior (GIWB) have mainly focused on exploring its favorable sustainable consequences and its unseen potential harmful outcomes. To address this gap, this study sought to explore the associations between GIWB and perceived greenwashing, work exhaustion, and environmental commitment among hotel employees. It also assessed managerial support as an alleviator of these negative outcomes. To that end, this research conducted a quantitative approach and used a self-reported questionnaire survey among employees and supervisors in green hotels. Based on valid replies from 419 participants from Small- and Medium-Sized Hotels (SMSH), we conduct Structural Equation Modelling (SEM) with Smart PLS 4.0. The results revealed that GIWB exerted positive effects on employees perceived greenwashing, green work exhaustion, and environmental commitment. The results also underscored the salient role of management support in alleviating the negative effects of GIWB on these outcomes’ perceived greenwashing and green work exhaustion. This study addressed a notable gap in knowledge and provides some valuable suggestions to avert the paradoxical effects of GIWB, leading to better organizational sustainable performance. Full article

Background: This study examines the degree to which cognitive supply chain management (CSCM) indirectly enhances supply chain risk management (SCRM), addressing the lack of specific empirical research concerning the underlying mechanisms of this relationship. Specifically, this study tests the CSCM-SCRM relationship using the mediating roles of supply chain forecasting (SCF), supply chain synchronization (SCS), and supply chain transparency (SCT). Methods: For this quantitative research, a survey was conducted among 287 respondents of pharmaceutical companies operating in Saudi Arabia. Convenience sampling was conducted, and the collected data were then analyzed via partial least squares structural equation modeling (PLS-SEM) through SmartPLS 4 software. The dynamic capabilities theory (DCT) and information processing theory (IPT) were integrated to develop the conceptual framework of this study. Results: The findings indicate that CSCM does not exert a direct impact on SCRM. Instead, CSCM significantly enhances SCF, SCS, and SCT. Among these, both SCF and SCT have a direct positive impact on SCRM and act as significant mediators in the CSCM–SCRM relationship. In contrast, SCS neither directly impacts SCRM nor plays a mediating role in this relationship. Based on this study, the positive outcomes of CSCM on SCRM come about via SCF and SCT rather than SCS. Conclusions: This study contributes to the literature by empirically validating a model that integrates CSCM, SCF, SCS, SCT, and SCRM in the context of Saudi pharmaceutical companies. It further contributes to the pharmaceutical practitioners by establishing that CSCM exerts an indirect positive effect on SCRM via information-intensive capabilities. Full article

This study investigates the role of family involvement and succession planning in shaping the long-term sustainability of family businesses in Indonesia, with a specific focus on the mediating effect of transgenerational entrepreneurial orientation (TEO). This research responds to calls for integrative models that move beyond examining these factors in isolation. Indonesia offers a unique context due to its dominance of family-controlled firms and informal succession traditions, which shape entrepreneurial value transmission across generations. A quantitative approach was employed using survey data from 210 respondents representing active family businesses in Indonesia. Partial least squares structural equation modeling (PLS-SEM) with SmartPLS 4.0 was used to test reliability, validity, and structural relationships. Additional analyses included HTMT for discriminant validity, CVPAT for predictive relevance, and importance–performance map analysis (IPMA) to identify managerial priorities. The results reveal that family involvement and succession planning both exert significant positive effects on long-term family business sustainability, with TEO playing a mediating role. Family involvement strongly enhances both sustainability and entrepreneurial orientation, while succession planning contributes more indirectly through the development of TEO. The IPMA indicates that family leadership in governance and openness to innovation are highly important but underperforming drivers, suggesting key areas for improvement. The model explains 51.9% of the variance in TEO and 48.6% in long-term sustainability, with significant mediation paths (β = 0.092–0.104, p < 0.05). The cross-sectional design limits causal inference, and the focus on Indonesian firms may constrain generalizability to other cultural contexts. Future research could adopt longitudinal and cross-country comparative designs while also examining the role of digital transformation and generational differences in sustaining family firms. The findings highlight the need for Indonesian family firms to professionalize succession planning while strengthening transgenerational entrepreneurial orientation. Practical steps include formal mentoring, clear successor criteria, and embedding innovation and proactiveness in family governance. This study extends the family business literature by conceptualizing TEO as a dynamic capability that bridges family involvement, succession planning, and sustainability. By integrating these perspectives, it offers a more comprehensive understanding of how family firms can achieve resilience and continuity across generations. Full article