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The study intends to evaluate the impact of inflation expectation on the performance of listed commercial banks in India during 2005–2021. Inflation expectation is considered as a direct policy tool by the policymakers for stability of the economy. The study explores how inflation expectation affects the performance indicators of the Indian banking industry while controlling for a wide range of bank-specific factors.

The study applies the generalized method of moments (GMM) on a panel sample of 27 listed bank to analyse the impact of inflation expectation on banking sector performance. The data on inflation expectation are obtained from the household inflation expectation survey introduced in India by the Reserve Bank of India in 2005. Return on assets (ROA), return on equity (ROE) and Tobin's Q have been considered as the banking performance indicators in this study.

Empirical results exhibit that inflation expectation is instrumental in deciding the banking sector's performance. Inflation expectation has been found to have a significant and positive impact on accounting-based measures of banking performance. At the same time, it shows negative impact on the marketing-based measure.

The study gives a clear picture about how inflation expectation affects the banking performance and the monetary policy of the country. The study provides crucial insights to develop strategic decisions for the Indian banking sector. The adoption of proper macroeconomic policies, taking into account inflation expectation levels, is instrumental in enhancing bank's performance and in achieving economic growth.

This study contributes to the growing body of literature on the impact of inflationary conditions on banking performance. The originality lies in capturing the role of inflation expectation solely in determining banking sector performance.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Gender diversity in the boardroom can have positive ramifications for firm performance. Although it is widely accepted that female directors bring valuable capabilities, qualities and experiences, the increase in board gender diversity remains slow in certain countries and sectors. Efforts are needed by companies to increase the number of women in executive roles and to address the disparity that can exist between private and public firms where board gender diversity is concerned.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

This study aims to investigate the antecedents of behavioral intention and actual usage of mobile payment (m-payment) services during the COVID-19 pandemic among Indian consumers.

The proposed research model of this study is based on the extended framework of the Unified Theory of Acceptance and Use of Technology (UTAUT2) by using two additional variables, namely, perceived security (PS) and perceived trust (PT). In total, 436 sample respondents are chosen from Indian consumers with experience using m-payment services through the online survey method. The data analysis and proposed hypothetical relationships were tested using confirmatory factor analysis and structural equation modeling techniques.

The results confirm that performance expectancy, effort expectancy, facilitating conditions, PS, PT, habit and price value are antecedents of consumer intention toward adopting m-payment services. Furthermore, behavioral intention significantly influences the actual usage of m-payment services during the COVID-19 pandemic.

Though the impact of COVID-19 has been observed during the research period in getting responses from m-payment service users, the constructs used in the study are confined to the UTAUT2 model, and dimensions related to COVID-19 are not directly included in the measurement scale. The study’s findings propose valuable insights for service providers and policymakers.

This study’s results offer valuable insights to the service providers and policymakers to achieve the Government of India digital India objective of “Faceless, Paperless and Cashless” transactions.

This study’s results contribute to extending the empirical research literature on m-payment as antecedents of behavioral intention toward the adoption of m-payment services during the COVID-19 pandemic. Furthermore, this study assumes important interrelationships among UTAUT2 constructs with the additional incorporation of PS and PT.

This paper aims to analyze the adoption of social media platforms by tourists in Pakistan. Based on an adaptation of the technology acceptance model (TAM), this study assesses the factors that lead users to adopt these platforms.

A survey was administered to a convenience sample of 399 travelers who use social media in Pakistan. A Confirmatory factor analysis was conducted using AMOS to evaluate convergent and discriminant validity as well as composite reliability. Structural equation modeling was applied to examine the causal relationship among all proposed constructs.

The findings reveal that the perceived usefulness (PU) and perceived ease of use (PEoU) of a social media platform positively impact the behavioral intention of its users. The proposed constructs of compatibility, enjoyment, user expertise and e-trust all demonstrated their crucial roles in the adoption of a social media platform for tourism-related activities by enhancing the platform's PEoU and usefulness.

This research validates the relationship between PEoU and PU of a social media platform in the hospitality industry. Interestingly, this study has expanded TAM by validating the addition of four more constructs, (1) compatibility, (2) enjoyment, (3) e-trust, and (4) expertise, to add worth to this model regarding the understanding of social media usage in this specific industry. The findings are valuable both for managers and policymakers in the tourism sector in Pakistan, as the latter can utilize the results to entice a larger segment of social media users to the tourism industry.

This research investigates the trajectory of Gulf region, focusing on the interplay between environmental, social and governance (ESG) factors and key elements – digital economy, green economy (GE), green finance, green energy and green innovation. This study aims to provide a nuanced understanding of how Gulf economies align their developmental pursuits with sustainability principles amidst the rapid evolution of digital technologies.

A data set of 95 listed companies from six Gulf Cooperation Council countries – Bahrain, Kuwait, Oman, Qatar, Saudi Arabia and the United Arab Emirates – from year 2016 to 2022 was compiled from reputable sources. Using fixed effect regression techniques, this study explores relationships, accounting for individual and time-specific variations.

This study indicates that key factors – digital economy, GE, green energy and green innovation – significantly influence ESG performance across Gulf nations underscoring the potential for strategic integration of these elements to enhance sustainable practices. However, the nonsignificant impact of green finance highlights a need for further exploration and refinement of financial mechanisms to effectively contribute to ESG goals in the Gulf region.

The findings underscore the importance for Gulf policymakers to prioritize ongoing support and policy formulation fostering digitalization and green initiatives. Businesses in the region can enhance ESG performance by integrating sustainable practices, promoting long-term resilience and reputation. Investors and financial institutions can use these insights to guide investment decisions, prioritizing projects contributing to environmental sustainability and social responsibility.

Amidst the current sustainability imperative, this research holds unique value in its timely exploration of the Gulf region’s sustainable landscape, providing crucial insights into the interplay between ESG factors and digital and green initiatives.

This study investigates the impact of emoji use and user personality traits (conscientiousness vs extraversion) on user behavior in the context of academic advising. It uniquely considers the interaction between these chatbot characteristics and human users' dominant personality traits (conscientiousness and extraversion).

A mixed-factor design experiment involving 153 university students was employed. Participants interacted with four different chatbot conditions: a conscientious bot and an extroverted bot, each with and without emojis.

The inclusion of emojis negatively influenced users' intentions to use the chatbots but did not affect trust, perceived authenticity or intended engagement with the bots. Additionally, the students' personality traits played a role in evaluating the different chatbot types.

This research introduces a novel approach by integrating emoji use and human personality traits into chatbot communication, focusing on academic advising. It examines the interaction effects of emojis and personality traits (conscientiousness and extraversion) on user behavior, also considering the user’s personality traits. This work enriches the human-computer interaction field and guides future chatbot development.

The purpose of this study is to examine the mediator role of blockchain technology (BT) in developing the trust among the users of digital payment (DP).

The research is of conclusive in nature. Purposive convenience sampling method was used to collect the data through a structured questionnaire. Statistical software Smart PLS 4 and SPSS 26 is used for the analysis of 540 valid responses.

This study concludes that resulting model is capable to predict the mediating role of BT in framing the trust. It also identified that all the factors (perceived ease of use, perceived usefulness, social norms and facilitating conditions) examined were found to have significant influence on the adoption of DP system.

This study uses variables that influences human behaviour in DP adoption. In future the work can be extended to check the moderating effect of BT on trust towards DP system.

This study demonstrates a key driver of towards DP. In addition, it highlights the pivotal role of BT in developing trust in both current and future adoption of DPs.

In the corporate world, there is no certainty of survival. This research aims to identify firm-level factors that increase or decrease a firm's probability of exit and survival.

The study examines 153 listed textile sector firms in Pakistan over a 10-year period from 2009 to 2018, comprising 1,413 observations. The semi-parametric Cox regression model is used to process the results.

The study finds that larger and exporting firms are more likely to survive, while those with a high ratio of fixed assets to total assets, high expenditure on advertising and variable costs are less likely to survive. The relationship between age and firm survival is inconclusive.

Adaptability to the external environment provides a competitive advantage that is crucial for textile firms to reduce their chances of exit. The research is valuable for strategic managers and policymakers to identify focus areas to prevent firm exit.

This study supports the active learning theory, which suggests that new entrants in the textile sector of Pakistan should focus on becoming active market players, increasing efficiency and reducing variable costs to survive.

The present study seeks to examine the impact of ethical leadership on employees’ voice behavior and internal whistleblowing in organizations. Specifically, the study investigates the mediating role of moral emotions in the link between ethical leadership and employees’ reporting behaviors such as voice behavior and internal whistleblowing.

This research utilized a sample of 200 employees from various private companies in Pakistan, gathering data via questionnaires to validate the hypotheses. We employed Structural Equation Modeling (SEM) to evaluate the model and conducted a mediation analysis using 5,000 bootstrap samples.

This research found that ethical leadership positively impacts employees' moral emotions, encouraging them to voice concerns and report misdeeds. Additionally, the study affirms a direct and positive connection between ethical leadership and employees' reporting behaviors, including voice behavior and internal whistleblowing.

The findings of the study emphasized the development of ethical leadership in organizations by highlighting the critical role of ethical leadership in enhancing moral emotions, voice behavior, and whistleblowing in organizations. It highlights the necessity of promoting moral behavior to enhance organizational effectiveness and the need for ethical leaders to foster an open environment in organizations that encourages whistle bellowing and reporting of unethical practices in organizations.

The current paper extends knowledge of ethical leadership based on the social cognitive theory of morality by considering that moral emotions serve as a strong motivational cognition between ethical leadership and reporting behaviors. Particularly, by examining the mediating role of moral emotion, this study provides a deeper understanding of the underlying mechanism through which ethical leadership influences reporting behaviors of employees at workplace.

This study aims to assess the direct and indirect effects of environmental, social and governance (ESG) performance on investment efficiency by investigating the role of financial reporting quality in mediating this relationship.

To obtain a more comprehensive measurement of ESG performance, this study used both Refinitiv Eikon and Bloomberg ESG scores, while previous studies typically used one ESG score measurement. The test was conducted on cross-country samples of 5,980 observations over 2016–2023. The mediation effect was tested using the three-stage least squares method developed by Baron and Kenny (1986). The Oster test was done to address endogeneity issues that become a matter of concern in determining the estimation model used in this study.

Empirical results show that ESG performance positively affects investment efficiency, and financial reporting quality mediates the positive effects of ESG performance on investment efficiency. The results of this study indicate that ESG performance will reduce agency problems, thus increasing investment efficiency. This implies that high ESG performance and good financial reporting quality are determining factors for companies to invest more efficiently.

This study reveals how ESG performance affects investment efficiency mediated by financial reporting quality, which has never been discussed in other studies. ESG performance was measured by using the average of Bloomberg ESG score and Refinitiv Eikon ESG score to complement previous studies that generally used one ESG score measurement.