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The purpose of this study was to explicate how leaders’ knowledge hiding results in employees’ knowledge hiding. In addition, the study was intended to explore under what conditions leaders’ knowledge hiding affects employees’ moral disengagement more deleteriously.

Data were collected from 321 employees at three different times which were two months apart from each other. Structural equation modeling was used for data analysis.

The study found leaders’ knowledge hiding to be related to employee moral disengagement. In addition, the study found moral disengagement to affect employees’ knowledge-hiding behavior. Moral disengagement was found to mediate the relationship between leaders’ knowledge hiding and employees’ knowledge hiding. Finally, the study found that employees with high moral identity show more perseverance to preserve their moral engagement when led by knowledge-hiding leaders.

To the best of the authors’ knowledge, the study was first to establish a relationship between a leader’s knowledge hiding and employees’ moral disengagement. The study also established the mediating role of moral disengagement to work as a mediating mechanism linking leaders’ knowledge hiding to employees’ knowledge hiding. Finally, the study found that moral identity moderates the relationship between leaders’ knowledge hiding and employees’ moral disengagement.

This study aims to unfurl the mediating role of facets of voice behavior. The study also unearths the relationship between servant leadership and voice behavior.

The data were collected from follower manager dyads in two waves of data collection initiated after the completion of the preceding wave. The final sample size obtained was 312.

The study found servant leadership to be related to innovative work behavior and facets of voice behavior. The study also found promotive voice behavior and preventive voice behavior to be related to the innovative work behavior of employees. The study found promotive voice behavior and prohibitive voice behavior work as parallel mediators linking servant leadership to the innovative work behavior of employees.

To the best of the authors’ knowledge, this study is the first to unearth mediation linking servant leadership to innovative work behavior through both facets of voice behavior.

This systematic review aims to identify procedures, risks, growth opportunities, gaps, challenges, trends and potential of financial technology (fintech) in modern businesses. This study reviews existing literature and synthesises the related findings about fintech in modern businesses. To extract more valuable financial data and give clients better services, this review considers combining AI and IoT technologies used in modern business. To accomplish the review objectives, we analysed 61 Scopus-indexed articles from 2016 to 2023 using the meta-analysis methodology. We conducted content analysis in addition to thematic analysis to validate the literature standard. However, we have identified and discussed opportunities, challenges, trends and future developments in fintech. The findings of this study provide a theoretical foundation for information systems-based fintech research, including fintech concept formulation and growth. The findings of this review offer insights into the ways that emerging technologies are changing financial markets and shaping consumer behaviours. This includes studying things like blockchain technology, digital wallets and peer-to-peer lending platforms. This study contributes to the improvement of fintech services by identifying procedures for absorbing contemporary financial technologies, mitigating their risks and identifying the latest ones.

This paper aims to examine the Islamic marketing literature to uncover potential customer adoption behaviours and enhance the effectiveness of blockchain-based halal logistics services in catering to customer demands. The findings of this paper provide substantial contributions to the realms of both halal logistics services and Islamic marketing literature, delineating future paths for research. By delving into halal logistics practices, integration procedures and service provider performance, this paper assists stakeholders in enhancing halal logistics services to meet the changing demands of customers effectively.

This paper uses a systematic review incorporating bibliometric analysis to examine past and contemporary research topics, selecting and appraising contributions while analysing and consolidating data. A methodical approach has been used to identify, assess and incorporate pertinent studies on Islamic characteristics, traceability technology, blockchain integration and halal logistics practices.

After screening and analysing 139 selected documents with the VOS viewer, it is evident that among a 1,000 keywords, 15 stand out in terms of frequency and link strength. The research highlights the considerable academic interest in themes such as “blockchain”, “halal logistics” and “supply chain”, underscoring their importance. The findings of this paper help bridge the gap in Islamic marketing by linking technology with religious values. It suggests that the integration of blockchain technology in halal logistics enhances operational efficiency while aligning with both operational and Islamic marketing principles, promoting ethical conduct and transparency as key enablers.

The theoretical significance of this paper lies in establishing a correlation among three key research domains: technology, symbolised by blockchain; customer-centric operations, incorporating the halal supply chain and logistics within Islamic marketing. The outcomes reflect consumer behaviour and Shariah compliance. This integration has the potential to introduce innovative theoretical frameworks that encompass religious ethics in marketing, logistics and technological advancements.

This paper comprehensively analyses the intersection between blockchain technology, halal logistics, supply chain management and Islamic marketing. The paper has comprehensively analysed previous studies and outlined the future research path for blockchain technology in halal logistics and its application in Islamic marketing literature.

Recent global catastrophic events, such as the Russia–Ukraine War and the COVID-19 pandemic, have led to several policy uncertainties in the global economy. Due to increasing financialization, these policy uncertainties have had a ripple effect on the global financial system, urging investors to search for alternative safe-haven financial instruments. To understand how these uncertainties influence Indian green financial markets, the present study seeks to explore the impact of US monetary policy uncertainty, energy policy uncertainty, oil price uncertainty and climate policy uncertainty on the Indian BSE Green and BSE Carbon indexes.

In order to achieve the stated objective, this study employs the autoregressive distributed lag model alongside the Bayer and Hanck cointegration tests and the Granger causality test, leveraging monthly data spanning from December 2012 to April 2024.

Empirical evidence states that there exists a strong cointegration between the explanatory and outcome variables, and US monetary policy uncertainty, energy policy uncertainty, oil price uncertainty and climate policy uncertainty exert a positive and significant influence on the Indian BSE Green and BSE Carbon index. Furthermore, the Granger causality test confirms a unidirectional relationship between US monetary policy uncertainty, energy policy uncertainty, oil price uncertainty and the Indian BSE Green and BSE Carbon indexes, as well as a bidirectional relationship between the Indian BSE Green and BSE Carbon indexes and climate policy uncertainty.

This study offer practical implications by suggesting that investors can use Indian green index as a hedge and safe haven against the aforementioned uncertainties. Investors should consider these dynamics while constructing an optimum portfolio to avoid losses caused by rising uncertainties.

The study unveils a unique relationship between green indices and various uncertainties, a topic not previously explored in the literature. It provides valuable policy recommendations aimed at elucidating the implications of green markets for sustainable development and the formulation of risk mitigation strategies.

This study aims to analyse and understand customer sentiments and perceptions from neobanking mobile applications by using advanced machine learning and text mining techniques.

This study explores a substantial large data set of 330,399 user reviews available in the form of unstructured textual data from neobanking mobile applications. This study is aimed to extract meaningful patterns, topics, sentiments and themes from the data.

The results show that the success of neobanking mobile applications depends on user experience, security features, personalised services and technological innovation.

This study is limited to textual resources available in the public domain, and hence may not present the entire range of user experiences. Further studies should incorporate a wider range of data sources and investigate the impact of regional disparities on user preferences.

This study provides actionable ideas for neobanking service providers, enabling them to improve service quality and mobile application user experience by integrating customer input and the latest trends. These results can offer important inputs to the process of user interaction design, implementation of new features and customer support services.

This study uses text mining approaches to analyse neobanking mobile applications, which further contribute to the growing literature on digital banking and FinTech. This study offers a unique view of consumer behaviour and preferences in the realm of digital banking, which will add to the literature on the quality of service concerning mobile applications.

This study aims to describe the m-learning experience of school students and teachers during the COVID-19 pandemic and explores the factors influencing the continuance intention of m-learning.

Semistructured interviews of 24 students and 09 teachers of schools in national capital territory (NCT) Delhi, India were conducted over 03 months and transcribed verbatim. A hermeneutic phenomenological design was used to interpret the text and bring out the “lived experiences” of m-learning.

The following 15 themes or factors influencing continuance intention emerged through the hermeneutic circle: (1) actual usage, (2) attitude, (3) context, (4) extrinsic motivation, (5) facilitating conditions, (6) intrinsic motivation, (7) perceived compatibility, (8) perceived content quality, (9) perceived mobile app quality, (10) perceived teaching quality, (11) perceived usefulness, (12) satisfaction, (13) self-efficacy, (14) self-management of learning and (15) social influence.

The study offers insightful recommendations for school administrators, mobile device developers and app designers. In addition, suggestions for effectively using m-learning during disasters such as COVID-19 have been provided. Several future research directions, including a nuanced understanding of m-assessment and online discussions, are suggested to enhance the literature on m-learning continuance.

The study enriches the literature on m-learning continuance. A qualitative approach has been used to identify relevant factors influencing m-learning continuance intention among secondary and higher secondary level (Grades 9 to 12) school students and teachers in India. In addition, a conceptual framework of the relationships among the factors has been proposed. Further, an analysis of the lived experiences of m-learning during the COVID-19 pandemic indicated several issues and challenges in using m-learning during disasters.

The purpose of studying the impact of crude oil and natural gas prices on the Vietnamese stock market is to understand the relationship between energy prices and the overall performance of the financial markets. As Vietnam is an energy-dependent country, fluctuations in crude oil and natural gas prices can significantly affect various industries, including manufacturing, inflation, transportation, energy production and economic growth. These sectors are often sensitive to changes in energy costs, which can lead to shifts in corporate profitability and investor sentiment. By analyzing how crude oil and natural gas prices influence the Vietnamese stock market, policymakers and investors can provide deeper insights into the economic risks and opportunities related to energy price volatility. This paper can also provide valuable information for decision-making in sectors such as economic forecasting, risk management and investment strategies.

Using monthly data from January 2006 to March 2024, data were collected from the Vietnamese stock market and the OPEC organization for oil prices, while data on natural gas were obtained from the EIA. The data were analyzed using vector error correction (VEC) model, impulse response function, variance decomposition test and asymmetric reactions method; the study tries to ascertain the short-term and long-term dynamic relationships between the shocks of the crude oil price and natural gas prices and their effects on the movement of the stock price. In addition, the GARCH model is applied to measure the volatility of crude oil and natural gas prices.

Crude oil price shocks have a statistically significant impact on most Vietnamese real stock market indices, except for the utility and consumer indices and some energy companies. Conversely, natural gas price shocks do not significantly affect on Vietnamese stock market indices, except for the energy index and some energy companies. Some “important” of both crude oil price and natural gas price shocks tend to depress the stock returns of energy companies. An increase in both crude oil and natural gas volatility can lead to heightened speculation in certain indices, particularly the energy and industrial indices, as well as in some energy companies. This heightened speculation often results in elevated of their stock returns.

This study provides valuable insights into the field of study examining how fluctuations in the prices of oil and gas, particularly during major crisis periods such as global financial crisis, COVID-19 pandemic and the Russo-Ukrainian War, affect financial markets.

Investment decisions hold immense significance for investors and eventually affect their portfolio performance. Investors are advised to weigh the costs and benefits associated with every decision in order to make rational investment decisions. However, behavioral finance research reveals that investors' choices often stem from a blend of economic, psychological and sociological factors, leading to irrationality. Moreover, environmental, social and corporate governance (ESG) factors, aligned with behavioral finance hypotheses, also sway opinions and stock prices. Hence, this study aims to identify how individual equity investors prioritize key determinants of investment decisions in the Indian stock market.

The current research gathered data from 391 individual equity investors through a structured questionnaire. Thereafter, a fuzzy analytic hierarchy process (F-AHP) was used to meet the purpose of the research.

Information availability, representative heuristics belonging to psychological factors and macroeconomic indicators falling under economic factors were discovered to be the three most prioritized criteria, whereas environmental issues within the realm of ESG factors, recommendations of brokers or investment consultants of sociological factors, and social issues belonging to ESG factors were found to be the least prioritized criteria, respectively.

Only active and experienced individual equity investors were surveyed in this study. Furthermore, with a sample size of 391 participants, the study was confined to individual equity investors in one nation, India.

This research has implications for individual investors, institutional investors, market regulators, corporations, financial advisors, portfolio managers, policymakers and society as a whole.

To the best of the authors' knowledge, no real attempt has been made to comprehend how active and experienced individual investors prioritize critical determinants of investment decisions by taking economic, psychological, sociological and ESG factors collectively under consideration.

The main purpose of this paper is to empirically investigate the spiraling effects of workplace incivility. In doing so, the authors examine how workplace incivility begets other forms of mistreatment such as ostracism and abusive supervision, which in turn hinders employees’ job performance. In addition, the authors also test the buffering role of social skills in this process.

This study investigates a mediated moderation model with multitime and multisource data from 205 employees working in different Pakistani-based organizations (self-rated at T1 and supervisor rated at T2).

The results of this study provide support to the predictions that workplace incivility diminishes employees’ ability to perform through parallel mediations of ostracism and abusive supervision. The empirical findings also show that social skills moderate the negative relationship between abusive supervision and job performance.

This work extends the contemporary slant in workplace incivility, ostracism and abusive supervision literature by providing empirical evidence of spiraling effects of workplace incivility. In addition, the authors also tested the critical buffering role of social skills in mitigating the negative effects of such mistreatments at work.