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The paper examines the recent trends in information technology for combating corruption and its impact on the Indian economy. It further explores how technology is being used to tackle corruption in India and the resulting economic benefits.

The methodology encompasses qualitative analysis to investigate corruption comprehensively. It involves content analysis of corruption-related documents, case studies, and expert interviews. Recent information technological advancements are explored, including blockchain and AI, for their anti-corruption potential.

This study reveals that the negative impacts of corruption on society include reduced economic growth, weakened institutions, and decreased public trust in government. Various technological advancements such as e-governance, blockchain, AI, and big data analytics have been implemented to enhance transparency and accountability in government processes. Special cases and examples of application of such technology tools and techniques adopted by the organizations to control corruption are discussed.

This paper highlights the need for legal reforms, institutional strengthening, and awareness-raising campaigns to complement technological advancements in the fight against corruption.

This study presents the impact of Economic Policy Uncertainty (EPU)-induced Trade Supply Chain Vulnerability (TSCV) on the Small and Medium-Sized Enterprises (SMEs) in India by leveraging the World Bank Enterprise Survey data for 2014 and 2022. Applying econometric techniques, it examines firm size’ influence on productivity and trade participation, providing insights for enhancing SME resilience and trade participation amid uncertainty.

The econometric techniques focus on export participation, along with variables such as total exports, firm size, productivity, and capital intensity. It addresses crucial factors such as the direct import of intermediate goods and foreign ownership. Utilizing the Cobb-Douglas production function, the study estimates Total Factor Productivity, mitigating endogeneity and multicollinearity through a two-stage process. Besides, the study uses a case study of North Indian SMEs engaged in manufacturing activities and their adoption of mitigation strategies to combat unprecedented EPU.

Results reveal that EPU-induced TSCV reduces exports, impacting employment and firm size. Increased productivity, driven by technological adoption, correlates with improved export performance. The study highlights the negative impact of TSCV on trade participation, particularly for smaller Indian firms. Moreover, SMEs implement cost-based, supplier-based, and inventory-based strategies more than technology-based and risk-based strategies.

Policy recommendations include promoting increased imports and inward foreign direct investment to enhance small firms’ trade integration during economic uncertainty. Tailored support for smaller firms, considering their limited capacity, is crucial. Encouraging small firms to engage in international trade and adopting diverse SC mitigation strategies associated with policy uncertainty are vital considerations.

This study explores the impact of EPU-induced TSCV on Indian SMEs’ trade dynamics, offering nuanced insights for policymakers to enhance SME resilience amid uncertainty. The econometric analysis unveils patterns in export behavior, productivity, and factors influencing trade participation during economic uncertainty.

The intricate dynamics of ChatGPT adoption among Indian students are discussed while exploring the factors outlined by Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). By assessing these factors, this study aims to unravel their impact on the behavioral intention to use ChatGPT.

While evaluating ChatGPT's adoption dynamics, this study analyses the UTAUT2 core factors and perceived benefits. Real-time data from 638 business and management students in India were collected through purposive sampling and a cross-sectional survey. An in-depth examination using IBM SPSS and AMOS revealed the patterns that regulate ChatGPT reception in educational settings.

Habit emerges as a powerful predictor, which aligns with the Habit Loop Theory's cues, routine and rewards. Perceived benefits significantly influence adoption, and traditional factors like performance expectancy and social influence exert no influence. The insignificance of effort expectancy challenges conventional understanding, unveiling novel aspects of student tech adoption.

There is a need for guidelines to ensure fair and responsible use of ChatGPT among students. While ChatGPT presents advantages like task automation and personalized learning, integrating it into the existing education system requires careful planning to harness its benefits effectively.

With the recent introduction of Generative-AI tools, understanding student acceptance and application is essential. This research sheds light on this emerging technology, emphasizing the importance of analyzing technology acceptance for its successful adoption.

Social enterprises (SEs) operate with a primary goal of meeting a social purpose while creating economic wealth for the fulfillment of their primary mission. These organizations need to develop a certain set of capabilities that facilitates the successful pursuit of their dual mission goals. This paper aims at exploring the micro-foundations of dynamic capabilities (DCs) that enable SEs to recognize and exploit opportunities and reconfigure their resources to pursue their dual-mission goals and adjust with the environmental dynamics.

This study uses a multiple case design and an abductive research approach to conduct an in-depth and in-due course investigation of the development of DCs in two distinct SEs selected on the basis of theoretical-purposive sampling and availability of the richness of the information about them.

This study finds certain generic and exclusive micro-foundations of DCs that contribute to sensing opportunities, seizing opportunities and reconfiguring resources in SEs. The exclusive micro-foundations of DCs of SEs noted in this study are sustainability of beneficiaries, involving beneficiaries in decision-making, defining unique business models and selective suppliers for critical resources.

The limitation of this study lies in its dependence on retrospective data, which may perhaps influence the comprehensiveness and accuracy of the acquired data. This study, although, implemented the measures to minimize the bias, by supplementing the interview data with archival sources.

To the researchers, this study proffers an in-depth and in-due course explanation of the micro-foundations of DCs that facilitate SEs to sense opportunities, seize opportunities and reconfigure their resources with time. To practitioners working in the area of social entrepreneurship, this process study is an outline of reference that answers the how and why concerning the importance of micro-foundations of DCs for SEs.

To the best of the authors’ knowledge, no prior study has explored the micro-foundations of DCs in the context of SEs from emerging economies. The exclusive micro-foundations of DCs for SEs found in this study are the unique and original contribution that outlines the path for future academic inquiry in this evolving research area.

This paper aims to epistemologically extend and explore the present theories from prior research conducted in the area of responsiveness. Furthermore, it determines to benchmark the prominent theories, characteristics, context and methodologies (TCCM) used in the domain since its inception to advance the science and practice of marketing and logistics discipline.

A seven-step methodology (SSM) has been introduced to create a comprehensive dataset. Based upon the selection criteria of high-ranked journals and language, the research studies have been retrieved from Scopus, Web of Science, Business Source Complete and journal homepage to avoid the error of exclusion. Moreover, the dataset has been compiled using manual and electronic searches without any limitation of time.

The search for a suitable dataset retrieved 642 documents by identifying “1969” as the beginning year of research in the subject domain. The analysis found that responsiveness has been prominently studied in the manufacturing industry. The results also advocate responsiveness as the vital antecedent to performance and satisfaction. Frameworks have been proposed with significant propositions for future empirical testing and theory inventiveness by researchers.

The study pioneers its utility for retailers to recognize the firms' inherent abilities and strengths, which can be promoted to create responsiveness more than ever. The analysis results can act as the compelling force to understand the driving power of various factors influencing responsiveness.

The ease and convenience of online shopping are shifting the customers to e-tailers. This has prompted offline retailers to re-examine behavioural patterns along with a reconfiguration for a responsive retail model. The paper investigates the influence of responsiveness on customer satisfaction, cross-buying behaviour, revisit intention and referral behaviour.

Data were collected via a survey answered by 793 fashion customers from India, and for data analysis, partial least square structural equation modelling (PLS-SEM) was employed. Path analysis was used to determine the interrelationships amongst the constructs used in the study.

The standardized path coefficients depict competitive responsiveness as the highest contributor of retailers' responsiveness followed by service responsiveness, employee responsiveness and customer responsiveness. The findings suggest that customer satisfaction acts as the biggest contributor to referral behaviour followed by cross-buying behaviour and revisit intentions.

This study has made a substantial contribution to fashion apparel retailing. The findings revealed that responsive retailing influences the customers' post-purchase behaviour as they engage in more cross-buying, revisiting and referral behaviour. The retailers are encouraged to carefully monitor their preparedness to deliver a combination of sensory, emotional, cognitive and social experience to their customers.