Khalid Mehmood

Purpose: As digital technologies and knowledge processes become increasingly central to organizational strategy, firms are required to translate these capabilities into effective governance and sustainability-oriented practices. In knowledge-intensive and highly regulated industries, understanding how such capabilities shape strategic outcomes remains a critical research challenge. This study aims to examine how artificial intelligence (AI) and knowledge management (KM) capabilities jointly enable insurance firms to develop governance strategies and environmental mechanisms that enhance financial resilience and drive green business transformation. Design/methodology/approach: Grounded in dynamic capability theory (DCT), this study develops and empirically tests an integrated framework using data from 288 insurance firms based in the USA. The relationships among AI capabilities, KM capabilities, governance strategy, environmental strategy, financial resilience and green business transformation are examined using confirmatory factor analysis and Hayes’ PROCESS macro. Findings: The findings demonstrate that AI and KM capabilities act as complementary dynamic capabilities that significantly strengthen governance and environmental strategies. These strategies in turn enhance financial resilience, which subsequently enables green business transformation. The results highlight how the integration of digital intelligence and knowledge processes supports the development of adaptive capabilities and strategic renewal. Practical implications: This study offers practical guidance for insurance companies seeking to navigate complexity and pursue sustainable transformation in dynamic and highly regulated environments. By integrating governance and environmental strategies within a unified dynamic capabilities framework, this study provides new insights into how strategic intelligence can enable organizations to build resilience and drive green business transformation, particularly in process-intensive industries such as insurance. The findings further align with broader sustainability priorities, including SDG 9 and SDG 16, by emphasizing innovation-driven capabilities and transparent governance practices as key enablers of long-term organizational sustainability. Originality/value: This study advances the KM literature by positioning AI and KM capabilities as complementary antecedents of governance and environmental strategies and by integrating these relationships with financial resilience and green business transformation within a unified DCT-based capability strategy resilience transformation framework.

Purpose: Food sharing apps are increasingly adopted by hospitality businesses to facilitate surplus food redistribution, improve operational coordination, and support sustainability initiatives. However, existing research has primarily focused on consumer adoption and initial platform acceptance, with limited attention given to the organisational processes that sustain platform use. Drawing on Resource Orchestration Theory (ROT), this study examines how resource structuring, resource bundling, and resource leveraging create organisational value through enhanced reputation and operational efficiency, thereby influencing hospitality firms' continuance intention to use food sharing apps. The study also examines the moderating role of digital resources in strengthening resource orchestration. Design/methodology/approach: A cross-sectional survey was conducted using data collected from 249 hospitality professionals through the Prolific platform. Consistent with the organisation as the unit of analysis, a key-informant approach was employed, whereby respondents reported on organisational practices related to food sharing app use. Findings: Resource structuring and resource bundling positively influence resource leveraging. Resource leveraging subsequently enhances organisational reputation and operational efficiency, both of which positively influence organisational continuance intention. Furthermore, digital resources positively moderate the relationships between resource structuring, resource bundling, and resource leveraging. Originality/value: This study extends ROT by explaining how resource structuring, resource bundling, and resource leveraging collectively generate organisational value that supports the continued use of food sharing apps. It also identifies digital resources as an important boundary condition that strengthens resource orchestration, shifting the focus from consumer adoption to the internal organisational processes underpinning sustained platform use within hospitality firms.

Purpose: In increasingly data-intensive and disruption-prone supply chains, firms must move beyond traditional knowledge practices by leveraging AI-enabled augmentation and immersive integration capabilities to enhance the depth, quality, and alignment of knowledge. However, the extent to which these capabilities translate into resilience depends on how effectively knowledge is orchestrated, deployed, and dynamically reconfigured in response to environmental volatility. Drawing on the knowledge-based view (KBV), this study aims to examine how AI-enabled knowledge augmentation capability (AKAC) and immersive knowledge integration capability (IKIC) influence knowledge-based supply chain resilience (KSCR). Specifically, the study investigates the roles of knowledge orchestration capability (KOC) and knowledge deployment capability (KDC) as key knowledge processes, as well as the moderating effect of knowledge reconfiguration advantage (KRA) in strengthening the relationship between knowledge deployment and resilience. Design/methodology/approach: Data were collected from textile manufacturing SMEs using a three-wave time-lagged survey design. A structured questionnaire was administered to 303 firms, and Hayes’ PROCESS macro was employed to test the hypothesized relationships. Findings: The results show that AKAC and IKIC significantly enhance KOC, which in turn positively influences KDC. KDC is further found to significantly improve KBSCR. In addition, KRA positively moderates the relationship between KDC and KSCR, such that the effect of knowledge deployment on resilience is stronger under higher levels of knowledge reconfiguration advantage. Originality/value: This study contributes to the knowledge management literature by linking AI-enabled and immersive knowledge capabilities to supply chain resilience through key knowledge processes. By incorporating knowledge reconfiguration advantage as a boundary condition, the study extends the knowledge-based view and highlights the role of adaptive knowledge capabilities in enhancing the effectiveness of knowledge deployment in dynamic environments.

Purpose: This research examines the impact of Industry 5.0 practices on compliance with environmental, social and governance (ESG) standards within the Malaysian manufacturing sector. It emphasizes the mediating effect of IT governance effectiveness and the moderating influence of cyber governance. Design/methodology/approach: Data were gathered through a structured survey targeting organizational managers, and structural equation modeling was utilized for the analysis. Findings: The findings indicate that all practices associated with Industry 5.0, including big data analytics, the Internet of Things, blockchain, digital twins, artificial intelligence (AI) and advancements in 6G, significantly improve the effectiveness of IT governance. This effectiveness, which includes structural, process and relational aspects, in turn, positively influences compliance with ESG standards, highlighting its crucial role in integrating digital transformation with sustainability goals. Additionally, cyber governance serves as a positive moderator in the relationship between Industry 5.0 practices and IT governance effectiveness, implying that robust cybersecurity measures and oversight enhance the effects of technology adoption on governance results. Originality/value: From a theoretical standpoint, the study extends the literature on Industry 5.0 by linking advanced digital practices to ESG compliance through robust governance mechanisms. Practically, the results underscore the importance for manufacturing firms to invest in IT governance structures and cyber governance capabilities to fully leverage Industry 5.0 technologies for sustainable operations. Overall, the study provides a comprehensive framework for aligning technological innovation, governance and sustainability to support the transition toward responsible and resilient manufacturing in Malaysia.

In digital marketplaces characterised by information asymmetry and growing scepticism towards environmental claims, understanding how green digital marketing strategies translate into economic value remains an important research challenge. Despite growing interest of sustainable branding on digital platforms, scarce research focuses on how green digital marketing strategy influences customer's willingness to pay price premium for sustainable products. Drawing on signalling theory and attribution theory, this study examines how three dimensions of green digital marketing strategy, green and ethical offerings, transparency and disclosure, and social and environmental impact, shape consumers' willingness to pay a price premium through brand's perceived corporate social responsibility (CSR) and green brand image. Using a three‐wave time‐lagged survey design, data were collected from 309 consumers in China. The findings indicate that green and ethical offerings, transparency and disclosure, and social and environmental impact positively influence brand's perceived CSR and green brand image, which in turn significantly enhance willingness to pay a price premium. Mediation analyses demonstrate that these green digital marketing practices influence price acceptance indirectly through cognitive evaluation (perceived CSR) and symbolic internalisation (green brand image). Furthermore, ethical green orientation strengthens the effects of perceived CSR and green brand image on willingness to pay, underscoring the role of value congruence in green pricing decisions. By integrating signalling and attribution perspectives, this study advances understanding of how digitally communicated environmental and ethical practices are interpreted, legitimised, and monetised in emerging digital markets. This study brings novel perspective by integrating signalling theory and attribution theory that explains how green digital marketing results into customers' willingness to pay a premium price through interpretive and symbolic mechanism.

This study investigates the influence of artificial intelligence-driven sustainable human resource management (AI-SHRM) on employee job engagement and resilience, with a particular focus on the mediating role of relational contracts. Anchored in the social exchange paradigm, the study examines how the fulfillment of relational contracts fosters positive work outcomes, thereby enhancing overall organizational performance. Additionally, this research explores the role of perceived artificial intelligence decision-making (PAIDM) in amplifying these outcomes by promoting fairness and transparency within HR practices. Utilizing data from a three-wave field survey of 481 respondents in China, the findings reveal that AI-SHRM significantly enhances relational contracts, leading to increased job engagement and resilience. Moreover, PAIDM serves as a significant moderating factor, intensifying the positive effects by strengthening perceptions of equitable treatment. This research advances both theoretical and practical perspectives on AISHRM, relational contracts, and the role of AI-driven decisions in contemporary workplace dynamics, offering critical insights for future organizational studies.

Purpose: As the race toward net-zero intensifies, manufacturing firms are rethinking how innovation can serve as a catalyst for sustainable transformation. This study explores how ambidextrous green innovation, integrating both exploratory and exploitative innovation strategies enables small- and medium-sized enterprises (SMEs) to achieve net-zero based green performance. Drawing on dynamic capabilities theory, the study constructs and empirically tests a conceptual framework that connects innovation ecosystem engagement, innovation capability and ambidextrous green innovation. It further examines how the broader innovation ecological environment enhances these relationships and supports sustainability outcomes. Design/methodology/approach: Data were gathered through a three-wave, time-lagged survey from Chinese manufacturing SMEs. The proposed hypotheses were tested using Hayes’ PROCESS macro, allowing for robust analysis of both mediation and moderation effects. Findings: The results confirm that strong collaborative linkages with core organizations and service intermediaries significantly enhance innovation capabilities. Moreover, a supportive innovation ecological environment strengthens the influence of innovation capability on ambidextrous green innovation. In turn, ambidextrous green innovation contributes positively to net-zero based green performance. Originality/value: This study provides a novel theoretical integration by linking innovation ecosystem, innovation capability and ambidextrous green innovation within the framework of dynamic capabilities theory. It extends the literature by empirically demonstrating how these constructs jointly influence net-zero based green performance in SMEs. Additionally, it highlights the contextual importance of the innovation ecological environment in strengthening the pathway from innovation capability to ambidextrous green innovation, offering valuable insights for both theory and managerial practice in sustainability-driven innovation.