Objective: This research examined the extent to which retail investors in India trusted and expressed confidence, as well as their intention to adopt an automated trading platform utilizing explainable artificial intelligence (XAI). Methodology: The study used primary data based on a survey-based design, obtained through a structured questionnaire administered to retail investors located in Tier-I and Tier-II cities in India. A total of 378 respondents were considered for the study after due scrutiny. The questionnaire included the measures of ?perceived explainability,? ?trust,? ?perceived risk,? ?information quality,? ?confidence,? and ?intention to adopt? explainable investment platforms. In addition to reliability assessment, construct validity was measured, and the hypotheses were tested by examining the relationships between the variables using PLS-SEM path analysis. Multi-group analysis was also used to compare the investor responses from Tier-I and Tier-II cities. Results: Perceived explainability had a statistically significant effect on both investors? trust and confidence, according to the results of the research. Both trust and confidence, in turn, played a major role in determining the likelihood that an investor intended to use/adopt an explainable investment platform. However, perceived risk was found to have a negative effect on investor confidence. Furthermore, observed differences between investors in Tier I and Tier II cities highlighted the influence of contextual factors on adoption behaviour towards AI-based investment platforms. Practical Implications: The results of this research indicated that investment platforms can improve investors? trust and confidence when they provide clear, reliable, and transparent explanations along with automated recommendations. Originality/Value: Unlike previous studies, the current study is unique as it uncovered that explainability by building trust and confidence drives the adoption, which provides a clearer understanding of investor behaviour beyond traditional adoption models. ? 2026, Associated Management Consultants Pvt. Ltd.. All rights reserved.

Scholarly interest in social media-enabled selling (SOCSEL) ? a strategy that focuses on salesperson social media use to sell to customers - has seen a dramatic rise in recent years. Studies have shown that SOCSEL brings numerous benefits to both salespeople and their organization. Although the benefits of SOCSEL are well known, there is no consensus on its conceptualization, and its measurement remains underdeveloped. In the present study, we derive a multidimensional conceptualization of SOCSEL based on prior conceptualizations. Our scale development process reveals that SOCSEL is best measured by four facets: insight acquisition, networking, engaging stakeholders, and navigating firms' sales cycles. Evidence from three samples of B2B salespeople across a variety of industries provides empirical support for our 4-dimensional structure of the SOCSEL scale. The results suggest that the scale developed in this study is a psychometrically reliable and valid measure that can help advance more empirical works related to SOCSEL. ? 2025 Elsevier Inc.

This paper examines the impact of bankruptcy reforms on distressed firms while accounting for differences in ownership structure and sector characteristics. Using India?s 2016 Insolvency and Bankruptcy Code (IBC) as a policy intervention, we employ a difference-in-differences framework to examine the impact of the policy change on firm efficiency and performance. The results provide clear and informative evidence that distressed firms experience significant adjustments following the implementation of the IBC. These adjustments vary across different firm types and ownership structures. Private non-listed firms experienced more substantial shifts than publicly listed firms, and service-sector firms exhibited greater sensitivity to the reform environment than manufacturing firms. These patterns illustrate that bankruptcy reforms can generate important transitional dynamics that are distributed differently across ownership and sectors. The study contributes to the broader policy literature by providing an empirically validated framework for understanding how firm heterogeneity shapes responses to insolvency policy. The study suggests that reforms to refine bankruptcy regulations should be in ways that enhance efficiency while supporting diverse organizational environments. We advocate for the design of complementary measures that enhance institutional capacity, operational continuity, and equitable outcomes during periods of structural transition. ? 2026 The Society for Policy Modeling.

Fake news and deepfake (FN & DF) technology have emerged as critical areas of inquiry within internet commerce and digital communication research. Deepfake technology significantly influences the creation and rapid dissemination of fake news. The study takes a pioneering step in addressing inconsistencies within the existing literature by providing a clear and more comprehensive synthesis of how deepfakes contribute to spreading fake news. Following PRISMA guidelines, the study analyzes 34 articles using a thematic categorization framework. The review makes three primary contributions. First, it highlights current research patterns and emerging trends in this domain. Second, it identifies five themes associated with the FN & DF literature: Identity-Driven Dissemination, Cognitive Bias and Emotional Realism, Trust Erosion and Epistemic Uncertainty, Platform Incentives and Corrective Strategies, and Governance, Ethics, and Detection. Third, based on these themes, it proposes a conceptual framework reflecting antecedents, drivers, moderators, mediators, and outcomes. The study outlines future research directions and offers practical implications. ? 2025 Taylor & Francis Group, LLC.

This study adapts retail patronage theory to app-based sharing economy (SE) platforms. It develops a framework explaining customer patronage behavior in digitally mediated service contexts. While prior research has examined individual drivers of platform use, a comprehensive patronage-based perspective remains underdeveloped. Drawing on four focus groups with Indian sharing-economy users, we identify key antecedents shaping patronage decisions. The antecedents are classified into four categories: socioeconomic, personal, platform-related and marketing-related factors. The framework replaces traditional product and store-based drivers with platform-centric attributes unique to SE environments. Findings show that initial patronage decisions follow a sequential process in which consumers evaluate the platform before the service provider, whereas continued patronage reflects trade-offs among competing attributes. By replacing traditional product- and store-based drivers with platform-centric determinants, the study refines patronage theory for digital service environments and offers actionable insights for customer-focused platform design. ? 2026 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

We offer a cross-case analysis of first-person accounts by undergraduate and graduate students of their use of Large Language Models (LLMs) such as ChatGPT, that enhance their reading, writing, and learning in English-medium programs across four nations: India, Indonesia, Morocco, and the United States. The participants first wrote independent accounts of their uses of AI at school and then collectively analysed each other?s and their accounts to identify common and unique opportunities and challenges across the four contexts. Opportunities identified included assistance in reading complex English texts, conversational practice, as a study tool, and in writing as a tool for brainstorming ideas and learning to write more complex and precise sentences grammatically. In the last case, the students also noted how writing and revising prompts helped them fine-tune their writing. Two types of challenges were also noted, in which a prompt generated false citations or weak writing; and ?cheating?, in which a student might risk plagiarism and detection instead of using AI as an assistive tool. In conclusion, implications for the productive, ethical use of AI programs in second-language literacy instruction are discussed. ? 2025 National Association for the Teaching of English.

Existing literature indicates that abusive supervision yields adverse effects for both individuals and organizations. Nevertheless, empirical evidence suggests that people react differently to abusive supervision. In particular, there is insufficient knowledge regarding constructive responses to abusive supervision. Drawing from attribution and cognitive appraisal theories, the current study examines how individuals may behave both constructively and destructively under abusive supervision. Employing two multi-wave, multi-source studies, the current study findings highlight that guilt acts as a mediator between abusive supervision and supervisor-directed constructive deviance, while shame serves as a mediator between abusive supervision and supervisor-directed destructive deviance. Furthermore, the degree of conscientiousness exhibited by subordinates under abusive supervision influences their emotional reactions. This study elucidates the complex psychological mechanisms through which abusive supervision can stimulate both constructive and destructive behaviors toward the supervisor at the same time. Hence, it underpins the impact of abusive supervision on the outcomes of individual subordinates. ? The Author(s), under exclusive licence to Springer Nature B.V. 2025.

We investigate the impact of financial inclusion (FI) on earnings management (EM) practices in banks domiciled in Brazil, Russia, India, China, and South Africa (BRICS) and contribute to the debate on whether FI makes business sense for banks. By developing an FI index (FII), we show that FI promotes income-increasing EM (IIEM) in BRICS banks, while its effect on income-decreasing EM (IDEM) remains insignificant. A plausible explanation is that rising credit risk outweighs the benefits of FI, such as low-cost deposits and a broad customer base, thereby having a negative impact on earnings and creating incentives for banks to manage earnings upward, which in turn compromises the reporting quality of earnings. Notably, the impact of FI on bank EM is most pronounced for state-owned banks. Our findings remain robust to alternative specifications. The results help policymakers consider a differentiated strategy by facilitating access to banking services while imposing restrictions or limitations on credit to individuals and firms with questionable creditworthiness. JEL Classification: G21, G28, M41 ? The Author(s) 2026

The study examines the country?s competitive advantage variations due to fiscal stimulus allocated for COVID-19 by the G-20 governments. It predicts that G-20 countries that are more likely to attract future investments from global firms will improve their trade share in the post-COVID-19 scenario. The study uses the growth-share matrix and 4E (entrenching, empowering, enterprising, enriching) framework. Findings indicate that Japan, the USA, India, Australia, and Canada have allocated significantly large stimulus as a percentage of gross domestic product (GDP) compared to their world trade share. It is likely to provide them with a competitive advantage in the future. The findings further reveal that the Governments have significantly allocated the stimulus to four sectors, that is, health, social security, industry and construction, and small and medium enterprises (SMEs). In the post-COVID-19 scenario, global firms may seek market entry or expansion strategies in these sectors in the nations mentioned above. ? 2022 K J Somaiya Institute of Management

Events such as COVID-19 and the Suez Canal blockade exposed to the world how susceptible global supply networks are, as well as how they impede logistic service system coordination (LSSC) and distribution network efficiency (DNE). To stay ahead of the competition and ensure operational sustainability in the current fast-paced, interlinked global market, organizations must prioritize supply chain resilience (SCR). Given this, the present investigation focuses upon investigating the impact of a digital-twin-enabled risk management system (DTRMS) on SCR improving through facilitators, including DNE and LSSC. Data is collected from 281 manufacturers in Asia-Pacific and the Middle-East Region using a survey approach and analyzed using structural equation modeling. The results show that having a DTRMS is significantly associated with higher LSSC and DNE, which are in turn associated with higher SCR. An analysis of the association between DTRMS-LSSC, DTRMS-DNE, and DTRMS-SCR using innovation-focused complementary assets (ICA) as a moderator shows that only the interaction between ICA and DTRMS has a favorable influence on LSSC. The study result contributes to the expanding body of knowledge on digital transformation in supply chain management during the post-pandemic period. It also enhances the theoretical foundations of resource orchestration theory and dynamic capability view theory. Manufacturers and logistics providers can benefit from these results to establish reliable and resilient supply chain operations using digital twin technologies. ? 2026 Elsevier B.V.

To reduce their fear-of-missing-out, social media users may be lured into binge-scrolling short-form videos (e.g., reels). While platforms may cultivate users? binge-scrolling behavior (e.g., to raise revenue), understanding of the impact of binge-scrolling on user wellbeing lags behind, exposing an important gap. Drawing on the Zeigarnik effect and dual-process theory, we propose user mindfulness as an antidote to FOMO-driven binge-scrolling by enabling users to better regulate their digital impulses. To explore these issues, we adopt a mixed-methods design. Study 1 employs qualitative interviews and a focus group to capture the psychological, emotional, and behavioral dimensions of binge-scrolling to develop a conceptual model. Study 2 empirically tests the model using survey data. The CB-SEM findings underscore the paradoxical role of FOMO in fueling binge-scrolling behavior on the one hand, while fostering loneliness and reducing eudaimonic well-being on the other. Importantly, user mindfulness emerges as a significant moderating factor that can disrupt this vicious cycle, creating healthier scrolling behavior. Overall, this research contributes novel insight to the dark side of binge-scrolling and offers actionable insights for scholars, policymakers, and platform designers seeking to balance the commercial benefits of scrolling and user well-being. ? 2026 Elsevier Ltd

Purpose ? This study systematically reviews the existing literature on the application of gamification in logistics and supply chain management (LSCM). This study aims to categorise the literature in various logistics and supply chain domains, to conceptualise the gamification framework pertinent in the context of LSCM and to provide a research agenda for scholars in the area. Design/methodology/approach ? The study?s methodology adopts the Preferred Reporting Items for Systematic Review and Meta-Analysis framework to conduct a systematic literature review. Forty relevant papers published from 2012 to 2023 are included in the analysis. Findings ? Augmented reality, blockchain, education, sustainability and warehousing have been identified as the key focus areas in which gamification is applied. Furthermore, the paper highlights different research approaches used to study these domains, maps the literature with gamification constructs (affordances, psychological outcomes and behavioural outcomes) and provides potential research avenues for future scholars. Research limitations/implications ? This review offers evidence of the impact of gamification on workforce dynamics, employee motivation, job satisfaction, trust, employee engagement and productivity. The study significantly contributes to the academic community by offering a conceptual framework and meaningful avenues for future researchers. Originality/value ? This research work contributes to the gamification, logistics and supply chain literature by providing a more comprehensive and methodical knowledge of the field. This study adds to the body of knowledge by offering a reference framework for future scholars based on a synthesis of the studies published so far in the area. ? 2024 Emerald Publishing Limited

Effective tacit knowledge sharing (TKS) helps firms gain a competitive advantage in a knowledge economy. Drawing on social identity theory, the study posits that meaning-making through work (MMW) leads to TKS. Knowledge hoarding mediates, and formalization moderates the MMW-TKS relationship. As possession of knowledge is necessary for knowledge sharing, MMW promotes knowledge hoarding; therefore, knowledge hoarding is posited as a mediator between MMW and TKS. Formalization is hypothesized to negatively moderate the MMW-knowledge hoarding, and knowledge hoarding-knowledge sharing relationships as it promotes systemic organizational actions rather than individual-level behaviors. The study hypotheses were tested using a cross-sectional survey of 250 employees, with all hypotheses finding support. The study improves our understanding of TKS antecedents and calls for debate on the dominant conceptualization and operationalization of knowledge hoarding as a knowledge-withholding behaviour. It also sheds light on the substituting effects of institutional endeavours on individual efforts. ? 2026 The Operational Research Society.

In emotional dirty work, little is known about how emotion caregivers construe meaning out of burdensome emotional demands mandated by their occupation. This study examines how ?emotion caregivers? experience ambivalence while cleaning their beneficiaries? emotional dirt and yet make sense out of it to build positive occupational identity. It demonstrates that ?emotion caregivers? perform intense emotional labor on their day-to-day work by embracing rather than discarding unwelcome emotions of the care seekers. Undertaking a qualitative inquiry through self-narratives of 21 counselors, we report their ambivalence toward the work and how such ambivalence is managed through ?cognitive,? ?emotional,? and ?collective? levels of sensemaking. Theoretical and practical implications are discussed to highlight how psychological and sociological perspectives of sensemaking help ?emotion caregivers? diffuse ambivalence. ? The Author(s) 2025

Purpose ? This study examines the relationship between organizational capital and earnings management, addressing whether internally embedded organizational capabilities influence financial reporting behavior. Design/methodology/approach ? Using a panel of publicly listed non-financial firms on the New York Stock Exchange from 2011 to 2023, the study measures organizational capital via the perpetual inventory method and analyzes its association with three forms of earnings management: accrual-based earnings management, real earnings management, and classification shifting. The analysis employs fixed-effects regressions and addresses endogeneity concerns through propensity score matching, entropy balancing, dynamic system GMM estimation, and the inclusion of additional control variables. Further analyses explore the moderating effects of product market competition, information asymmetry, and agency frictions. Findings ? Our results reveal a negative relationship between organizational capital and all three forms of earnings management. This association persists across alternative model specifications, estimation techniques, and organizational capital proxies. The study finds that the effect of organizational capital is stronger in highly competitive environments, for firms with lower information asymmetry, and for firms facing lower agency frictions. Originality/value ? This study contributes to the earnings management literature by introducing organizational capital as a governance mechanism that constrains managerial opportunism. By adopting a multidimensional earnings management framework and reconciling both the value-enhancing and potentially distortionary aspects of organizational capital, the study offers a more integrated understanding of how internal organizational capabilities shape financial reporting quality. ? Emerald Publishing Limited

Purpose ? The increasing importance of knowledge management systems (KMS) as a source of competitive advantage and the recent advances in artificial intelligence (AI) makes the question of appropriate integration of AI and human intelligence (HI) in KMS very pertinent. This paper aims to develop a framework that helps identify appropriate AI-HI integration in KMS for different structure, content and context-related parameters. Design/methodology/approach ? The paper uses an inductive approach that leverages Shneiderman (2020) framework to develop a hierarchical framework demonstrating the level of sophistication of AI and identifies an appropriate level for a firm given its structure, content and context-related characteristics. Findings ? The absent, assistive, augmented and automated (4A) model of AI integration has been developed, and the relevant structure, content and context-related variables of KMS have been identified. Using the 4A model, the appropriate AI level for an organization, considering multiple structure, content and context-related parameters is identified. Based on the model, efficiency and control are identified as the two principal objectives of KMS and the trade-off between them is elucidated. Originality/value ? To the best of the authors? knowledge, this paper develops a new model to determine the appropriate level of AI and human interaction in KMS and demonstrates its applicability in multiple situations. The 4A model is applicable across other domains, besides KMS. ? 2026 Emerald Publishing Limited

This study primarily investigates the empirical association between internet use and economic growth (EG) across income levels. The secondary objective of this study is to evaluate contextual factors and suggest policy measures to maximise ICT?s positive impact, making a valuable contribution to the continuing scholarly conversation on the knowledge economy. We uses a panel of 78 countries and employs a fixed effects (FE) estimator to account for time-invariant effects within the model. Further, pooled regression and random effects models are estimated for group-wise countries. We uses the Hausman test to support the selection of the FE estimator. We further verify the results through robustness checks using alternate measures of ICT adoption and validate the findings. Our findings reveal that in lower-middle-income countries, internet usage shows a potentially favourable effect on EG, albeit statistically insignificant. While a negative association emerges in upper-middle-income and high-income countries. This challenges conventional wisdom and highlights income-dependent effects of internet use to economic growth. Robustness checks confirm these trends across income levels. We contribute to the evolving discourse on the knowledge economy by disaggregating the effects of ICT across income groups and identifying differential outcomes shaped by institutional readiness and technological maturity. By incorporating multiple ICT proxies and linking them to development stages, we advance understanding of how digital-technology diffusion influences economic transformation. Therefore, we identify the importance of considering contextual disparities and income levels in policymaking. We suggest that policymakers should tailor technology adoption strategies to income levels and infrastructure development. Also, investments in electricity access and infrastructure may enhance ICTs? favourable effect on EG, particularly in lower-middle-income countries. ? The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2026.

Knowledge hiding in the service sector is persistently escalating and is gaining increased attention from scholars and practitioners. This article aims to systematically review the extant literature on knowledge hiding in the service sector. Adopting the systematic literature review protocol, this review outlines the prominent theories (T), contexts (C), characteristics (C), and methodologies (M) of knowledge hiding in the service sector in line with the TCCM framework. The review unveiled that social exchange theory and conservation of resource theory have been predominantly employed to understand factors triggering knowledge hiding in the service sector. Furthermore, the review segregated the characteristics of knowledge hiding into antecedents, moderators, mediators, and outcomes. Additionally, studies on knowledge hiding in the service sector indicate a strong emphasis on Asian regions relative to other regions addressed in the literature. Besides, the review highlights the need for qualitative studies apart from quantitative ones. This review provides a ?one-stop? paper to provide relevant information and an understanding of the significance of knowledge hiding in the service sector. The review findings might persuade practitioners to provide policies that curtail or discontinue knowledge hiding in the service sector. One feasible solution is to develop and implement strategies to encourage knowledge sharing and cease knowledge-hiding behaviors. ? 2025 John Wiley & Sons Ltd.

Past research links organizational dehumanization (OD) to higher absenteeism and stronger intentions to quit. However, past researchers have noted that several employees cannot quit their jobs and continue to suffer. A literature review indicates that no studies have explored the effect of OD on employees? engagement through negative rumination. In this study, we contend that such employees who continue to suffer but cannot quit are prone to deviance and disengagement from work. Using the data from an Indian academic sample, we study both the direct and indirect effects of OD on employee engagement. Specifically, the mediation effect of negative rumination and the moderating effect of psychological capital (PsyCap) are examined. Results found a significant negative impact of OD on employee engagement and a significant mediation effect of negative rumination. However, the moderation effects of PsyCap were not found to be significant, suggesting that personal resource reservoirs may not buffer the engagement costs of perceived OD in this context. Managers must arrange for proper counseling services for the employees. ? 2026 K J Somaiya Institute of Management

The paper examines the suitability of pay-what-you-want (PWYW) pricing in introducing incremental or radical innovative products. Four experimental studies were conducted: three lab-based and one field-based. The results indicated that customers voluntarily made non-zero payments in anonymous exchanges. However, the payout in the lab (willingness to pay) and field (actual payout) studies were invariably lower than the externally provided price anchors. Further, low-price external anchors exerted a stronger influence on consumer payout than high-price external anchors. Message framing (descriptive versus injunctive) and external price anchors were used to nudge consumers toward a higher payout. The study found that customers? payout was closer to the external price anchor when the anchor reflected what others paid (descriptive framing). In contrast, the payout deviated significantly below the price anchor when the seller suggested it (injunctive framing). Message framing was more effective in high external reference price anchors. Managers should choose high or low reference prices depending upon the deviation in actual payment from the external reference price anchor. Managers should introduce radically innovative products using descriptive framing and high-price anchors. ? 2024 Taylor & Francis Group, LLC.