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This study examines audit fee premiums from brand name, industry specialization, and industry leadership after the merger of two Big 6 audit firms, creating the Big 5 in 1998 in the Malaysian audit market. A sample of 679 companies listed at the main and second boards of Kuala Lumpur Stock Exchange (KLSE) are investigated for audit fee premiums. Industry specialization is determined on the basis of 20 per cent share of audit market calculated by the number of audited companies in the industry. Audit fee premiums are calculated based on the Simunic (1980) model of audit fees. Results show: that Big 5 audit firms obtain 65.4 per cent audit market share for all KLSE listed companies; that Big 5 audit firms earn higher audit fees than non‐Big 5; and that industry specialization does not generate audit fee premiums. The study finds evidence for audit fee premiums derived from industry market leadership. Results also reflect the competitiveness among Big 5 audit firms in the audit market especially following the merger of Big 6 audit firms.

This study examines the effect of the substantial changes in economy and culture on Malaysian accounting practices during the economic growth of 1987 to 1997. This paper provides evidence that accounting practices changed in order to adapt to their new environment. This study provides further evidence that relationships between culture and accounting hold in a changing environment and that Gray's (1988) theory can explain this relationship within the Malaysian context.

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.

Many of the existing senior living accommodation options in Malaysia are ill-suited to the needs and requirements of seniors as they age further. To establish best practice guidance to meet the housing needs for seniors, the purpose of this paper is to examine the effect of neighbourhood quality, locational and structural attributes on the likelihood of owning a retirement home among the young-old aged 60 to 74 years in Malaysia.

In this paper, 300 young-old retirees from Greater Kuala Lumpur, Malaysia were interviewed using purposive sampling. Only 240 were used for the analysis.

The results revealed that respondents are likely to own the retirement home which could support their overall health and well-being within a safe and supportive senior-friendly neighbourhood. Furthermore, respondents are willing to reside in the retirement home that is served with good access to amenities.

The likelihood of young-old seniors adjusting their housing disequilibrium situation is higher as long as the right housing attributes are incorporated into the retirement home.

The results of this paper would be very pertinent for the development of the physical planning guidelines on settlements and facilities for the elderly in Malaysia.

With the change in cultural values, the increasing life expectancy in senior adult population and improved household income in Malaysia, there is great potential for purpose-built senior housing projects for seniors who need help with activities of daily living, but desire to live as independently as possible.

The development and maintenance of a long-term relationship with customers are essential for banks to bolster their profits and thrive in a competitive environment. This study aims to explore the key factors that influence individuals' bank-switching behavior in the Malaysian retail banking industry to provide insights to bank managers to develop effective customer retention strategies.

A convenient sampling technique was used to distribute questionnaires to bank customers in Malaysia. A total of 312 utilizable questionnaires were obtained for further analysis. For the data analysis, the authors used explanatory factor analysis (EFA), confirmatory factor analysis (CFA) and logit and probit models to identify the determinants of bank-switching behavior of bank customers in Malaysia.

This study revealed that switching costs, effective advertising from competitors, inconvenience, price factor and service failures significantly influence customers' retail bank-switching behavior in the Malaysian context. The findings bring some significant policy implications for bank management decisions.

The non-probability, convenience online sampling method may not be generalized to the population. However, the descriptive demographic statistics show that the findings provide a reasonable representation of the Malaysian population.

This study empirically investigates the determinants of individual customers' retail bank-switching behavior in the Malaysian context. This study is the first of its kind to observe the unique feature of price factor as a determinant of individual customers' switching behavior in the Malaysian retail banking industry, contrasting previous similar studies in different countries.

The purpose of this paper is to investigate the default characteristics of Sukuk issues by corporate firms in Malaysia using value-at-risk (VaR) techniques over a period of 16 years from 2000 to 2015 and across nine economic sectors.

The paper employs non-parametric and Monte Carlo simulations to estimate Sukuk defaults.

The authors analyses revealed that the VaR predictions were fairly consistent with the ratings provided by credit rating agencies, despite the limited tradability of Sukuk in the secondary market. The study was able to demonstrate that Sukuk is not riskier than conventional bonds in the Malaysian context.

The research findings suggested that VaR values will depend on the fundamental value of a firm based on the considerations of market, credit and operational risk. It does not rely on the type of debt instrument, whether a Sukuk or conventional bonds.

The use of Sukuk along with conventional bonds as debt instruments creates opportunities for investors and bond issuers globally.

Although Sukuk has generated much interest among financial market players, studies are lacking on how to predict Sukuk defaults and whether Sukuk has the same risk profile compared to conventional bonds.

The purpose of this paper is to examine the factors that may affect consumer intention and behaviour to purchase organic food in a non-western context.

Responses were obtained from 246 organic food consumers using judgemental sampling. Data were analysed using partial least squares–structural equation modelling to examine the strength of the relationships among the constructs.

The findings reveal that attitude, subjective norm (SN), perceived behavioural control, moral norm (MN), self-identity (SI) and environmental concern (EC) exert significant positive effect on purchase intention (PI). Furthermore, PI is found to mediate the relationship among attitude, SN, perceived behavioural control, MN, SI and EC with purchase behaviour (PB). Moreover, the findings indicate that price consciousness moderates the relationship between PI and PB.

The results of this study emphasised that marketers need to implement various marketing strategies including discount, advertisements and new product development to bring positive change in consumers’ intention and to attract them towards purchasing organic food. Moreover, marketers may take some initiatives to reduce the price of organic food through various strategies which eventually can reduce the cost of organic foods for local consumers.

This study extends the theory of planned behaviour (TBP) by incorporating MN, SI and EC. The expanded theoretical framework improved the predictive ability of the TBP.

The purpose of this study is to propose a research framework to examine the effects of consumer consciousness, food safety concern and healthy lifestyle on the attitudes toward eating “green” simultaneously in a single study. Besides, the mediating role of healthy lifestyle in forming a positive attitude toward eating “green” is also examined in this study.

A questionnaire-based approach was applied in this study. The unit of analysis was individual consumer (aged 18 years and above) who lived in Klang Valley, Malaysia. PLS-SEM was used to test the structural relationship of the constructs in the model based on the 300 useable data collected.

The results indicated that health consciousness, food safety concern and healthy lifestyle have a significant effect on attitudes toward eating “green”, whereas environmental and price consciousness did not have such effect. A healthy lifestyle also mediates the relationship between health consciousness and attitude toward eating “green”. An individual’s healthy lifestyle that focused on physical health-related activities will increase the effect of consumer health consciousness on their attitudes toward eating “green”.

The outcome of this study provided deeper insights for firms to assess the feasibility of entering or expanding their operations in the green market with more enduring and effective sales and marketing strategies.

Consumers’ acceptance of or resistance toward organic food had become the centre of the research focus by the academician and the industrial practitioners over the years, despite the inconsistencies of the results obtained to predict such behavior. In this study, besides examining the direct effect of the proposed variables on the attitudes toward eating “green”, the mediating role of a healthy lifestyle in forming such attitudes was also examined.

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.