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This research intends to investigate the impact of economic policy uncertainty (EPU) on the firm's leverage and its adjustment speed.

This study applies dynamic panel data modeling by using a partial adjustment model. The study is based on secondary data of the non-financial firms that are listed on the Pakistan stock exchange. For the analysis purpose, the study applies the generalized method of moments (GMM) estimation technique and uses a newly developed text-based measure of economic policy uncertainty.

The results show the negative impact of EPU on leverage decisions but a positive impact of EPU on leverage speed of adjustment for both, short-run and long-run economic policy shocks. Additional analysis reveals that the negative influence of long-run policy shocks on leverage decisions is moderated through profitability, and the negative influence of short-run policy shocks on leverage is moderated through firm size, tangibility and available growth prospects. However, the significant positive impact of EPU on the leverage speed of adjustment in both short and long-term policy shocks indicates that the speed of adjustment for these firms is not affected by policy shocks.

This research contributes to the existing literature on capital structure dynamics,by investigating the impact of EPU on firm financing decisions and estimating the adjustment speed of capital structure in a developing market context. The study also extends the existing literature by applying the concept of long-run and short-run economic policy uncertainty in the capital structure dynamic framework. Additionally, the new news-based measure of EPU is used. Moreover, it also looks into the COVID-19 effect on the relationship.

The purpose of this study is to comprehend how AI aids marketers in engaging customers and generating value for the company by way of customer engagement (CE). CE is a popular area of research for scholars and practitioners. One area of research that could have far-reaching ramifications with regard to strengthening CE is artificial intelligence (AI). Consequently, it becomes extremely important to understand how AI is helping the marketer reach customers and create value for the firm via CE.

A detailed approach using both systematic review and bibliometric analysis was used. It involved identifying key research areas, the most influential authors, studies, journals, countries and organisations. Then, a comprehensive analysis of 50 papers was carried out in the four identified clusters through co-citation analysis. Furthermore, a content analysis of 42 articles for the past six years was also conducted.

Emerging themes explored through cluster analysis are CE concepts and value creation, social media strategies, big data innovation and significance of AI in tertiary industry. Identified themes for content analysis are CE conceptualisation, CE behaviour in social media, CE role in value co-creation and CE via AI.

CE has emerged as a topic of great interest for marketers in recent years. With the rapid growth of digital media and the spread of social media, firms are now embarking on new online strategies to promote CE (Javornik and Mandelli, 2012). In this review, the authors have thoroughly assessed multiple facets of prior research papers focused on the utilisation of AI in the context of CE. The existing research papers highlighted that AI-powered chatbots and virtual assistants offer real-time interaction capabilities, swiftly addressing inquiries, delivering assistance and navigating customers through their experiences (Cheng and Jiang, 2022; Naqvi et al., 2023). This rapid and responsive engagement serves to enrich the customer’s overall interaction with the business. Consequently, this research can contribute to a comprehensive knowledge of how AI is assisting marketers to reach customers and create value for the firm via CE. This study also sheds light on both the attitudinal and behavioural aspects of CE on social media. While existing CE literature highlights the motivating factors driving engagement, the study underscores the significance of behavioural engagement in enhancing firm performance. It emphasises the need for researchers to understand the intricate dynamics of engagement in the context of hedonic products compared to utilitarian ones (Wongkitrungrueng and Assarut, 2020). CEs on social media assist firms in using their customers as advocates and value co-creators (Prahalad and Ramaswamy, 2004; Sawhney et al., 2005). A few of the CE themes are conceptual in nature; hence, there is an opportunity for scholarly research in CE to examine the ways in which AI-driven platforms can effectively gather customer insights. As per the prior relationship marketing studies, it is evident that building relationships reduces customer uncertainty (Barari et al., 2020). Therefore, by using data analysis, businesses can extract valuable insights into customer preferences and behaviour, equipping them to engage with customers more effectively.

The rapid growth of social media has enabled individuals to articulate their thoughts, opinions and emotions related to a brand, which creates a large amount of data for VCC. Meanwhile, AI has emerged as a radical way of providing value content to users. It expands on a broader concept of how software and algorithms work like human beings. Data collected from customer interactions are a major prerequisite for efficiently using AI for enhancing CE. AI not only reduces error rates but, at the same time, helps human beings in decision-making during complex situations. Owing to built-in algorithms that analyse large amounts of data, companies can inspect areas that require improvement in real time. Time and resources can also be saved by automating tasks contingent on customer responses and insights. AI enables the analysis of customer data to create highly personalised experiences. It can also forecast customer behaviour and trends, helping businesses anticipate needs and preferences. This enables proactive CE strategies, such as targeted offers or timely outreach. Furthermore, AI tools can analyse customer feedback and sentiment across various channels. This feedback can be used to make necessary improvements and address concerns promptly, ultimately fostering stronger customer relationships. AI can facilitate seamless engagement across multiple digital channels, ensuring that customers can interact with a brand through their preferred means, be it social media, email, or chat. Consequently, this research proposes that practitioners and companies can use analysis performed by AI-enabled systems on CEB, which can assist companies in exploring the extent to which each product influences CE. Understanding the importance of these attributes would assist companies in developing more memorable CE features.

This study examines how prominent CE and AI are in academic research on social media by identifying research gaps and future developments. This research provides an overview of CE research and will assist academicians, regulators and policymakers in identifying the important topics that require investigation.

Education for sustainable development (ESD) has gained significant attention, but integrating ESD into existing education systems is challenging. The study aims to explore the challenges of ESD experienced by school leaders, focusing on the context of Malaysian schools.

The study uses a qualitative approach with a single-case study design. Eight school leaders involved in the Johor sustainable education action plan (JSEAP) were interviewed and analyzed. The study uses thematic analysis to identify the challenges and other causes associated with the implementation of ESD.

This study revealed that the school leaders perceived the ESD challenges at three levels. First, restriction to the standardized curriculum (systemic); second, resistance to change (organization) and third, awareness and readiness (individual). These themes stemmed from seven primary codes that school leaders encountered throughout the JSEAP program.

This paper is limited to a case study of the chosen schools and cannot be extrapolated to a larger population.

The study benefits school leaders and educators concerned about ESD and its role in their schools and other academics interested in ESD.

To the authors' knowledge, this is the first study to investigate ESD challenges in Malaysia. The novel discovery of the three levels of ESD challenges helps readers better understand the recent phenomenon of ESD implementation and compare it to other settings.

The issue of Education for Sustainable Development (ESD) has been on the rise in recent years, with concerns being raised by various stakeholders about its potential effects on education and the environment. However, little research has been done into school leaders' fundamental challenges in addressing ESD.

A qualitative, single-case study was embarked on to examine the experiences of Malaysian school leaders who actively engaged ESD in their schools. The data were collected by using semi-structured interviews among four school leaders in schools involved in Johor Sustainable Education Action Plan (JSEAP). A thematic analysis was used to understand the challenges and later drive the strategy used to overcome those challenges.

This preliminary study revealed that the principals perceived the ESD's four main challenges: encouraging positive thinking and passion, acquiring ESD knowledge, developing system thinking, and curriculum adaptation. Based on this study's findings, school leaders need to make concerted efforts to overcome these challenges, such as finding best practices, encompassing support systems, and exploring innovative partnerships to address ESD effectively in their schools.

This paper is limited to a case analysis of the selected schools and cannot be generalized to a larger population.

The results of the study may be of interest to other school leaders and educators who are concerned about ESD and its role in their schools, as well as to other academics who are interested in the topic of ESD and the challenges faced by school leaders in implementing sustainable practices.

To the authors' knowledge, this is the first study investigating ESD challenges in the Malaysian context. The novel finding helps the readers understand the recent phenomena of ESD implementation better and, at the same time, compare it to other settings.

This study aims to address how Islamic banks (IBs) and conventional banks (CBs) manage their liquidity and their speed of adjusting liquidity holdings both in the short- and long term.

This study uses the partial adjustment model (PAM) on a sample of 445 banks from 17 Organisation of Islamic Cooperation countries over the period 2010–2018.

Results reveal that despite IBs’ placement of higher short-term liquidity buffer, they experience lower net stable fund ratio (NSFR) in the long term, relative to CBs. This study’s results also reveal that IBs enjoy higher and lower speed of adjustment (SOA) for NSFR in the long- and short term, respectively. Furthermore, the results suggest that bank-specific and macroeconomic factors weaken the liquidity SOA.

This study sheds light on the importance of the adjusting speed of bank liquidity in a bid to provide regulators with insights for enhancing liquidity holdings and emphasising the regulation of banks’ reaction pace to attain the target buffers.

This study estimates the liquidity adjustment speed of IBs and CBs by providing a comprehensive discussion and empirical evidence across countries. To the best of the authors’ knowledge, this study is the first to use PAM for the assessment of liquidity holdings in IBs and the first to examine SOA of short-term liquidity holdings in the banking sector.

Banks' service failures are a major determinant of bank customers' switching behavior, which ultimately affects the profitability and stability of banks. Guided by the expectancy violation theory (EVT), this study aims to examine whether and how bank reputation influences the relationship between service failure and customers' switching behavior in the Malaysian banking industry.

By distributing questionnaires to Malaysian bank account holders, the authors gathered 320 usable responses, which were subsequently subjected to explanatory factor analysis, confirmatory factor analysis, Logit regression, Probit regression and independent-variables T-test to identify and elucidate the relationship existent between the dependent and independent variables.

This study discovered that bank reputation affects the bank customers' switching behavior directly and indirectly via banks' service failure, thereby verifying the application of EVT in the context of customer management.

Although the profile of respondents in this study presents a reasonable representation of the Malaysian population, the use of convenience (non-probability) sampling method via online survey may not provide generalizable results.

This study empirically revealed that bank reputation plays a moderator role between service failure in banks and customers' bank-switching behavior. This observation offers useful insights to bank managers into the role of bank reputation in managing customers' switching behavior.

The purpose of this paper is to provide empirical evidence on the suitability of a Bloomberg Environmental (E), Social (S) and Governance (G) (ESG) disclosure index designed for companies from the USA and to investigate the sustainability quality and stock performance of FinTech companies.

Data from all FinTech and non-FinTech firms in the USA was acquired from Bloomberg to undertake the study and evaluate the suggested hypotheses efficiently. The final sample consists of 1,672 company-year observations from 2010 to 2019. The methodology used ordinary least squares regressions of performance metrics on the Bloomberg ESG disclosure index and its components.

The findings indicated that the Bloomberg ESG disclosure index is a valid proxy for sustainability and has a direct relationship with stock performance. Furthermore, this study suggests that non-FinTech firms outperform FinTech firms in sustainability and stock performance. The findings support stakeholder theory, which suggests that increased disclosure of ESG information will mitigate the agency problem and protect shareholders’ interests.

This study’s findings were significant because the findings emphasised ESG disclosure in FinTech and non-FinTech firms, providing information to academics, legislators, regulators, financial report users, investors, environmental unions, workers, customers and society.

This research is unique as it evaluates ESG practices in both FinTech and non-FinTech firms.

The present study conceptualizes and examines the interplay of transformational leadership, ambidexterity and wireless information technology (IT) competency for enhancing innovative capability.

Drawing primarily on the knowledge-based and dynamic capabilities view theory, the present study explored supply chains of a large global apparel company and their effect on innovative capability through a mixed methods approach.

The results show that transformational leaders strongly influence the development of ambidexterity and enhance radical innovative capability through wireless IT competency.

The results of this study suggest that supply chain integration through transformational leadership and wireless IT competency can promote simultaneous exploration and exploitation to enhance innovation.

The growth of cloud and/or virtual supply chains facilitated by digital wireless communications and Internet technology is advancing logistics and supply chain innovations. With increasing global competition, digitalized supply chains and ever-growing environmental uncertainty, leadership traits, especially transformational leadership and ambidextrous leaders, can be major contributing factors for successful development of wireless IT competency to support innovative capability.

Wireless IT competency facilitates knowledge integration particularly for combining prior internal knowledge of exploitative innovation with new external knowledge to develop explorative innovation.

This study aims to investigate whether gender predicts financial inclusion and whether education can fill the gender gap in financial inclusion when controlling for the effects of supply side factors of financial inclusion in low-income economies.

This study aims to investigate whether gender predicts financial inclusion and whether education can fill the gender gap in financial inclusion when controlling for the effects of supply side factors of financial inclusion in low-income economies.

The findings provided support for the gender gap in financial inclusion using the most basic measure of financial inclusion. However, using formal savings and access to credit, the gender gap hypothesis is not supported. Moreover, the results revealed that education reduces the gender gap in the basic form of financial inclusion. However, this study could not find any significant difference between men and women's financial inclusion in terms of saving at a bank or borrowing from a bank though men tend to save more than women informally.

The current study contributes to the literature by examining the role of education in the relationship between gender gap and financial inclusion when controlling for the effects of heterogeneous infrastructure and the supply side factors of financial inclusion among the selected countries.

This study aims to explore the challenges in implementing and sustaining lean in garment supplier factories and the buyer–supplier role in mitigating lean barriers in a typical situation and pandemic.

Following a qualitative research approach and multiple embedded case study method, data were collected through in-depth interviews with senior managers of one lead buyer and their four key garment supplier factories in Bangladesh. Within and cross-case analysis, techniques were applied to understand the context-oriented lean challenges and buyer–supplier role in mitigating the challenges.

The study findings demonstrate that garment suppliers are less prepared and unsystematic in lean implementation having limited capabilities and less preparation. Moreover, they have limited support from buyers, less commitment from top management and employee resistance to implementing lean. Lean challenges become more intense because of the COVID-19 pandemic. However, buyer–supplier responsible, cooperative and collaborative behaviour can mitigate lean challenges.

Whereas many stakeholders may be responsible for lean challenges, this study explores dyadic role between buyer and supplier only based on a single lead buyer and their four suppliers. Hence future studies could consider more buyers and suppliers for a holistic understanding.

This study could help buyers and suppliers understand the underlying causes of lean implementation challenges in garment supplier factories and their role in sustaining lean reducing the challenges, particularly in a pandemic.

To the best of the authors’ knowledge, for the first time, this study depicts how buyer and supplier can play their due roles to mitigate lean challenges in garment supplier factories in a pandemic situation.