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 research is aimed to understand the intentions of small grocery retailers in adopting social media for marketing purposes. The research used an integrated TAM-TOE framework combined with an SOR framework for understanding factors influencing the intention of small grocery retailers to adopt social media. Mixed methods were used for the study. Initially, in-depth interviews were conducted with 55 retailers to develop a grounded model, which was verified through a survey of 874 retailers. Findings suggest that perceived usefulness and perceived ease of use were positively related to relative advantage, interaction, organizational competency and complexity, bandwagon effect, and competitive pressure. Retailer age and retail outlet also had moderation effects. Small grocery retailers who understand the relative advantage of social media are more likely to adopt it, influenced by the bandwagon effect. Intense competition is also pushing retailers to adopt social media to avoid losing customers and missing out on potential opportunities.

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.

Artificial Intelligence (AI) is among the emerging technologies that offer potential competitive advantages, but there is insufficient evidence regarding its use in B2B SMEs in India. This study uses empirical methods to investigate the factors that lead to the successful adoption of AI practices by B2B SMEs in India, as well as the outcomes of this adoption. A conceptual model is formulated using the technology-organization-environment (TOE) framework, which examines how AI enablers and AI readiness influence the competitive advantage with due acceptance of AI practices. To test the theoretical framework, the study used a mixed-method approach; survey data was gathered from 866 employees (managers) of SMEs. The findings suggested that all the AI enablers except perceived benefits and role clarity significantly impacted AI readiness. Further, AI ethics, the moderator of the study, was found to be significant between perceived benefits, role clarity, perceived trust, and competitive advantage.

This study aims to examine the purchase behaviour decision like drivers and barriers for Grocery Shopping Apps (GSAs) as well as discover the role of customer involvement in order to explain both the reasons as to why people refrain from purchasing from GSAs as well as what motivates them to buy groceries from GSAs. The study used the Stimulus-Organism-Response framework and Innovation Resistance Theory to learn about purchase intentions and behaviour towards GSAs. A longitudinal study has been conducted with 418 in the first phase and 392 in the second phase with the same set of respondents. Results show that people who are willing to switch from traditional stores to GSAs enjoy new experiences and new ways to use products. GSAs should think about how to get users interested in their apps and keep them interested, personalise their experience, and make features that make users care about the apps.

The growing importance of Big Data in the food industry enables businesses to leverage information to gain a competitive advantage. This paper provides a systematic literature review (SLR) to provide an insight into the use of state-of-art of Big Data applications in the food industry. The SLR relies on available literature that provides the context, theoretical construct and identifies gaps. Based on the findings, we suggest recommendations, identify limitations and suggest policy implications and future directions. Using search databases were examined and 38 relevant studies were identified for retrospective analysis. The review shows that Big Data supports the food industry in ways that enable using Artificial Intelligence to manage restaurants and mobile based applications in supporting consumers with restaurant selection. This SLR open new avenues for future research in the importance of Big Data in the food industry, which will surely help researchers/practitioners in effective utilization of Big DataBig Data.

The study aimed to use the Stimulus-Organism-Response (S-O-R) framework to investigate the connection between personal safety, digital literacy, and social influence on the adoption of m-payment apps in the post-COVID-19 scenario. The study adopts a mixed-method approach. Initially, semi-structured are conducted to identify the constructs. Subsequently, empirical analysis is carried out to establish the relationship between different constructs. In the framework of the present investigations, personal safety, digital literacy, and social influence as stimuli (S) that affect an individual's openness to change, which acts as organism (O), and in turn, it expresses an individual's willingness to adopt the services of m-payment apps (R). Through structural equation modeling, responses from 429 consumers are used to evaluate a model incorporating the S-O-R framework with mediator, moderator, and control variables. The results showed a positive and significant relationship between personal safety, social influence, digital literacy, and m-payment adoption. Openness to change partially mediated all the associations, while user involvement moderated the associations between digital literacy, openness to change, and m-payment adoption. One of the study's primary contributions is applying the S-O-R model in this context, along with mediating and moderating the influence of openness to change and user involvement. The study's results enrich our understanding of consumer behavior and actual practices post-COVID-19.

The Marketing 4.0 phenomenon has drawn positive attention recently due to digitization and the need for upgraded frameworks. It was recently proposed with four components: brand identity, brand image, brand integrity, and brand interaction (4i). Brand interaction caters to the latest digitization trends in the industry. This study applies the Marketing 4.0 framework in a cross-national emerging economy context. It proposes a model that examines the impact of Marketing 4.0 on the online customer experience (OCE) and online repurchase intention (ORPI). Five hundred twenty-eight online shoppers of the branded apparel segment from two emerging economies participated in the study. The findings indicate the validity of the adapted Marketing 4.0 scale across the samples. All the direct hypotheses are accepted except one proving the positive impact of Marketing 4.0 on the OCE and the ORPI. Furthermore, the OCE significantly mediates the relationships between Marketing 4.0 elements and the ORPI, except for brand interaction (BINT).