The study explores the relationship between an organization's survival and its digital knowledge management (DKM) in a rapidly changing digital world. It emphasizes the role of acquiring, sharing, and applying knowledge digitally in organizational adaptation and competitiveness. The research utilizes current literature and theoretical frameworks to explore the importance of systems thinking and organization learning for sustainability purposes. Moreover, it examines how technological uncertainty influences these relationships. The study recruited 479 employees working in manufacturing firms in India and employed partial least squares for data analysis. The findings suggest that when companies seek to maximize resource efficiency while minimizing environmental impact, they must improve their digital knowledge processes. This work aims to provide insights for organizations seeking to benefit from digital technology without endangering global sustainability efforts, and to provide appropriate recommendations.

This study examines the elements of matchmaking intention, highlighting a significant gap in matchmaking behaviors within Metaverse platforms. The study explores the socio-psychological and behavioral factors impacting matchmaking intention in this digital landscape. We developed a conceptual model integrating social presence theory and status quo bias with the technology acceptance model (TAM). Using survey data from 512 participants across various regions of India, we tested the proposed relationships through structural equation modeling. The results indicate that intimacy, interactivity, connectedness, and responsiveness contribute to increased agreeableness regarding matchmaking intention on Metaverse platforms. Furthermore, real, non-perceived usage significantly moderates the relationship between agreeableness and matchmaking intention. Our findings provide valuable insights for creating effective marketing strategies to enhance matchmaking user intentions and behaviors within the Metaverse. The study can be used to launch any new service through Metaverse.

In the digital landscape, online gaming has become an integral part of entertainment. This empirical research aims to examine the influence of AI-based emotional attachment-oriented anthropomorphic features and their impact on the online gaming experience. Under the paradigm of cognitive load theory (CLT) and Computers Are Social Actors (CASA) framework, a theoretical model was developed for an empirical investigation. To examine the model, the present study applied a partial least squares structural equation modeling process with 1802 respondents' data from India. The results show that AI-based emotional attachment anthropomorphic features enhance consumer's overall service experience. In addition, trust and engagement partially mediate the relationship between AI-based emotional attachment anthropomorphic features and consumer's overall service experience.

This study explores the use of digital technologies by food supply chain firms to enhance circular practices, aiming to boost the social, economic, and environmental sustainability of food supply chains. The literature on digital technologies in the food supply chain has experienced significant growth in the last few years. Given the critical importance of these technologies, there is an urgent need for a thorough systematic literature review to integrate and reconcile the findings. This research uses SPAR-4 SLR with the theories, context and methods (TCM) framework to synthesize the body of literature on digital technologies for circular and sustainable food supply chain. The study integrates existing knowledge to propose future research directions, while also addressing identified gaps in theories, methods and contexts.

Digital agility is a critical dynamic capability that is becoming increasingly important in the context of collaborative product development processes (PDPs). This paper aims to address the complexity of today's PDPs by considering various quality aspects including safety, environment, and the entire lifecycle, along with diverse dynamic capabilities such as digital agility and circular economy. The authors employed a semantic web methodology and created an ontology-based knowledge model. The proposed ontology uses Design for X techniques, circular economy, digital agility, and the semantic web under the PDP perspective to increase performance and cooperation between designers and the project team. To validate the ontology, measures for domain ontology evaluation have been used. The paper presents a detailed guide for ontology engineering and evaluation for collaborative smart PDP, which incorporates digital agility as a critical dynamic capability. The proposed ontology can help boost PDP performance and increase customer satisfaction.