New Delhi Institute of Management

This research investigates how Green Transformational Leadership (GTL) influences Employee green behavior (GEB), with Green Psychological Ownership (GPO) as a mediator and Green Identity (GI) as a moderator, thereby aligning the study with the United Nations Sustainable Development Goals (SDGs), particularly SDG 12 and SDG 13. Using a quantitative, cross-sectional design, data were collected from 347 employees and managers of Small and Medium Enterprises (SMEs) in India via structured questionnaires and analyzed through PLS-SEM. Results revealed that GTL significantly predicts EGB. while GI strengthens this relationship. GPO partially mediated the GTL-EGB link while GI strengthens the GPO-EGB relationship. This study highlights how green transformational leadership fosters employee green behavior through psychological ownership, offering managers a roadmap to design eco-focused leadership and participative practices. By nurturing employees' green identity, organizations can ensure consistent pro-environmental actions, thereby enhancing performance, reducing resource waste, and embedding sustainability into daily operations.

IntroductionErgativity marks subject arguments as agents of a transitive event and thereby signals verbal transitivity and influences language comprehension.MethodWe report here on an event-related brain potentials (ERP) study in Hindi, in which we investigated this interconnection to ascertain whether the ergative case as a processing cue and its ERP correlates can be generalized across and within ergative languages. The case marking on the subject argument (ergative or nominative case) in our study either matched or mismatched with the transitivity of the light verb (transitive or intransitive) in compound light verb constructions.ResultsErgative case violations due to an intransitive light verb evoked an N400 effect, whereas nominative case violations due to a transitive light verb elicited a P600 effect.DiscussionThe results reveal neurophysiological differences in the processing of ergative and nominative case alignment modulated by the transitivity of the light verbs. The findings highlight the need for cross-linguistic research to aim beyond universality and elucidate the mechanism underlying the processing of language-specific structural variations.

Purpose Sustainability is important in-service experiences, yet research on how customers perceive these initiatives remains fragmented across sectors and disciplines. This study aims to review existing literature to provide a structured understanding of the field. It aims to map the intellectual structures, thematic clusters and trends in research on sustainability and customer perceptions from 2015 to 2025. Design/methodology/approach A systematic literature review was conducted using the PRISMA framework. Seventy-six articles were identified from Scopus and manual searches. Bibliometric analysis with R/Biblioshiny and VOS viewer examined publication trends. Intellectual mapping used keyword co-occurrence, trend topics, and sector-specific evidence to identify concepts and theoretical underpinnings. Thematic mapping was then applied to classify the dominant research themes within the field. Findings The study shows a steady rise in research on sustainability and customer perceptions in service settings, with contributions from more than 250 authors across 48 journals. While the research is globally distributed, collaboration is more common within regions than across them. Most studies focus on customers and emphasize themes such as perceived sustainability, service quality, satisfaction, loyalty and engagement. The findings also show that sustainability in services is shaped through customer experiences rather than just operational practices. Trust, credibility and digital interaction play an important role in how customers evaluate and respond to sustainable service offerings. Research limitations/implications Findings inform theory development and practice. Future research should explore underrepresented sectors, technology-enabled services, cross-cultural contexts, multistakeholder perspectives and longitudinal dynamics. Originality/value This study consolidates existing literature and integrates bibliometric, intellectual and thematic perspectives. It provides an overview of how sustainability and customer perceptions have been examined in service experiences.

PurposeThis study aims to empirically examine the determinants influencing individuals’ intentions to visit hidden tourist destination gems (HTDGs) showcased on Instagram Reels within the Indian travel context. To achieve this objective, the study integrates the Elaboration Likelihood Model (ELM) and the Technology Acceptance Model (TAM), while extending the framework by incorporating two additional constructs: trust (TR) and destination image (DI). Design/methodology/approachThe study constructs were tested using a quantitative approach, and the data were collected through an online survey using Google Forms. “Convenience” and “snowball sampling” were used, and the hypothesized relationships were tested using structural equation modeling. FindingsThis study introduces a comprehensive model elucidating HTDG on Instagram reels across Indian consumers. The fundamental constructs of ELM and TAM, along with additional constructs, exert a favorable influence on intention to travel, but product ranking shows an insignificant impact on perceived usefulness. Research limitations/implicationsThis study extends the understanding of digital engagement beyond mere technological adoption. The findings hold valuable implications for both policy and practice. Social media should be utilized to market the destination and sustainable tourism, and the results are used to influence campaigns, collaborations with influencers, and tailored content to increase marketing effectiveness and competitiveness. Originality/valueThis study explicitly examines the effect of HTDG displayed on Instagram Reels on individuals’ travel intentions. Despite substantial research in areas like trends, food, and transportation, this study presents a fresh perspective on how social media influences HTDG in the tourism sector.

This study investigates the asymmetric spillover dynamics and connectedness among Global Economic Policy Uncertainty (GEPU), gold prices, Brent crude oil prices, India Volatility Index (India VIX), and the NIFTY 50 under different market conditions. The study employs the quantile vector autoregression (QVAR) connectedness framework to analyse spillover transmission across bearish, normal, and bullish market regimes. Quantile-based total connectedness index (TCI), directional spillovers, net directional connectedness, and network connectedness analyses are estimated using the generalised forecast error variance decomposition (GFEVD) framework. The findings reveal substantial asymmetry in connectedness across market conditions. The TCI is significantly higher under bearish and bullish regimes, indicating stronger spillover transmission during extreme market periods, whereas relatively lower connectedness is observed during normal market conditions. Brent crude oil and the NIFTY 50 emerge as major transmitters of shocks during bearish periods, while gold acts as the dominant transmitter during bullish conditions. India VIX primarily behaves as a net receiver of shocks during extreme market regimes. The network connectedness analysis further confirms denser spillover structures during stressed and optimistic market conditions. The findings support the financial contagion theory and volatility spillover hypothesis and provide important implications for portfolio diversification, hedging strategies, and financial risk management under changing market environments.