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The purpose of this study is to provide quantitative information on the growth of Islamic finance literature. The study focused on publishing trends, countries producing research on Islamic finance, key authors, major contributing organizations, authorship patterns, keywords and articles with the highest citations.

Bibliometric analysis is applied to analyse the growth and publishing trends in Islamic finance literature. The Web of Science (WoS) database was used to extract bibliometric data covering the period 1939–2019 for Islamic finance literature.

The study finds that Islamic finance research has gained remarkable momentum in the literature. However, such growth is largely manifested in Malaysia because of a conducive atmosphere for this type of research. Interestingly, the study finds that the three most productive journals are located in the UK and Malaysia, while Professor M. Kabir Hassan from the University of New Orleans, the USA appears to head the list of authors with 23 publications on Islamic finance.

This study provides up-to-date literature on the current state of Islamic finance in the world; as a result, it supports the development of policies by the Islamic finance industry. The findings of the study also serve as a reference point for Islamic finance training and educational institutions.

Islamic finance is an emerging financial discipline; as such, there is a need for more awareness of this financial system in the world. Muslim-majority countries, especially Saudi Arabia, Turkey, Indonesia, the United Arab Emirates (UAE), Pakistan and Bahrain, have to include Islamic finance in their curriculum and establish research institutions and research journals. In addition, Arabic language journals should be indexed in WoS and/or Scopus to provide a high-quality publication platform. This study provides a more comprehensive bibliometric analysis on the growth of Islamic finance literature (1939–2019) in the WoS database; most of the prior studies have covered relatively few areas of focus and a lower range of years in some cases.

This paper aims to investigate the motivating factors for Malaysian governmental agencies (MGAs) to embrace chatbot technology.

Based on the technology-organisation-environment (TOE) framework, using purposive and snowball sampling techniques, 262 online data from the MGA top management were gathered. Smart PLS4 was employed to test the hypotheses of the study.

The findings demonstrated positive relationships between technological readiness (TR), big data analytics (BDA), organisational readiness (OR), organisational learning capabilities (OLC) and governmental policies (GP) concerning chatbot adoption intention and also the relationship GP with OR. A mediating effect was also observed, which indicated the OLC role in positively mediating BDA, the OR role in positively mediating OLC and the OR role in positively mediating GP with OR and OLC as sequential mediators in the relationship between BDA and chatbot adoption intention. Furthermore, the presence of citizen demand (CD) strengthened the relationship between TR, OR and chatbot adoption intention.

This study was limited to Malaysian federal government agencies who still not adopting Chatbots.

The findings offer valuable insight into factors affect the adoption of chatbots among Malaysian government agencies. Stakeholders, including department heads, can use these findings to strategically enhance counter service by promoting chatbot adoption.

The study demonstrated that the TOE framework was effective in identifying the factors contributing to the decision-making process for adopting chatbots across MGAs. Organisational readiness and organisation learning capability was found to sequentially mediate the relationship between big data analytic and intention to adopt chatbot. Citizen demand was found to have moderation effect on the relationship between organisational readiness and technological readiness towards the intention to adopt a chatbot.

There has been a dramatic rise in the use of online food delivery apps (FDAs) services since the COVID-19 pandemic. Though online FDAs have contributed significantly to the rise in demand for products from the gourmet industry, little is known regarding the factors that inspire customers to order from online FDAs, subsequently influencing customers’ satisfaction. Considering the knowledge gap, this study utilizes the stimulus-organism-response (S-O-R) model to conceptualize the factors: stimuli (eWOM, online reviews and online deals as external stimuli, and late-night craving and convenience as internal stimuli) that determine the organism level (i.e. customers’ inspiration) to subsequently generate the response (i.e. customers’ satisfaction).

We collected the data from 388 users and analyzed it via partial least squares – structural equation modeling (PLS-SEM).

The results reveal that online reviews, deals, late-night food cravings and convenience positively determine customers’ inspiration and satisfaction. In contrast, eWOM fails to impact customers’ inspiration directly and indirectly, affecting customers’ satisfaction through inspiration. Besides, customers’ inspiration positively mediates the relationship between stimuli (e.g. online reviews, online deals, late-night cravings and convenience) and customers’ satisfaction.

This study is novel in that it explores the impact of internal (late-night craving and convenience) and external (eWOM, online reviews and online deals) stimuli on customer inspiration and subsequently predicts customer satisfaction. We also expand prior studies on food delivery apps by studying customer inspiration as a mediating mechanism between internal and external stimuli and customer satisfaction.

The purpose of this study is to examine the relationships between market mavenism, tourists’ cocreation experience, loyalty and the mediating role of travel incentives in the post-COVID-19 tourism environment in the context of vaxication intentions in Turkey.

This study used covariance-based structural equation modeling to empirically test the proposed hypotheses. A total of 348 respondents participated in the survey.

The findings of this study support the assumption that market mavenism (MM) engage in cocreating and sharing travel experiences (CCTE). Furthermore, the study reveals that market mavens tend to demonstrate loyalty (LTY) toward service providers when engaging in cocreation with travel industry professionals. In addition, the study establishes the significant mediating effect of travel incentives (TI) between MM and vaxication intention (VI).

The study uses the theory of planned behavior to examine tourists’ intentions for vaxication and the psychological factors influencing their decisions, while also using the macro–micro theory to explore industry-level factors like market mavens and customer engagement, leading to a comprehensive understanding of COVID-19 vaccination and tourism behavior. Further research is needed to address limitations such as country diversity, multiple locations and service providers, online behavior analysis, authenticity perception and identification of market mavens’ personality traits and travel preferences.

This study contributes to the scholarly literature in several ways. First, it explores the influence of market mavens on tourism experience cocreation and customer loyalty during the postpandemic era. Second, it empirically examines the mediating role of travel incentives, adding to the understanding of market mavens and vaccination intentions. Lastly, the study addresses the implications during and after the COVID-19 for managers and service providers in the tourism industry.

The purpose of this study is to present a conceptual model where consumer electronic sports (eSports) engagement (CeSE) acts a predictor for gamers’ online engagement in eSports-related products/firm either through direct contribution (purchase intention) or indirect contribution (co-production, community engagement, word-of-mouth and recruitment).

Data from 262 eSports consumers aged 18–24 years were collected and analyzed through WarpPLS 8.0.

The findings of this study confirm that CeSE significantly influences all dimensions of the consumption behaviors (purchase intention, co-production, community engagement, word-of-mouth and recruitment).

This study provides empirical support for a conceptual framework developed through the social exchange theory and engagement theory. Besides, hierarchical component model approach is applied to estimate the composite model of CeSE.

This study aims to investigate consumer brand loyalty toward halal cosmetics using the theory of planned behavior through repurchase intention, which is primarily relying on the consumer’s attitude toward halal cosmetics. Important predictors such as trust on halal cosmetics, quality of halal cosmetics and religious beliefs of millennial Muslim female consumers shape consumer attitude.

The present study used the quantitative research design and deductive approach to collect the data from 275 halal cosmetics users in Pakistan by using a judgmental sampling approach.

Findings of the study provide useful insights for both theory and practice. The results support product quality, religious belief and trust on halal cosmetics as predictors of consumer’s attitude toward halal cosmetics that further develop consumers’ repurchase intention, which in turn enhances their overall brand loyalty. Besides, the findings also show that consumer repurchase intention has a mediating effect between consumer attitude toward halal cosmetics and consumer brand loyalty.

The current study helps in advancing practitioners’ understanding of female consumers’ brand loyalty in the halal cosmetics context. This study is considered to be greatly helpful for managers to gain knowledge about how repurchase intention and brand loyalty of millennial Muslim female consumers can be developed in the halal cosmetics segment, especially in the case of Pakistan.

Brand loyalty has been investigated by previous studies through different predictors and antecedents. This study contributes to the literature of brand loyalty by empirically examining and validating the different antecedents of consumer attitude that are accountable for creating consumer brand loyalty in the domain of halal cosmetics within the Pakistani cultural context. The current study also enhances the previous scholarly understanding on halal cosmetics by investigating the mediating role of consumer repurchase intention of halal cosmetics that further extends the discussion for both theory and practice.

The purpose of this paper is to assess the impacts on production of five fruit crops from 1961 to 2018 of energy use, CO₂ emissions, farming areas and the labor force in China.

This analysis applied the autoregressive distributed lag-bound testing (ARDL) approach, Granger causality method and Johansen co-integration test to predict long-term co-integration and relation between variables. Four machine learning methods are used for prediction of the accuracy of climate effect on fruit production.

The Johansen test findings have shown that the fruit crop growth, energy use, CO₂ emissions, harvested land and labor force have a long-term co-integration relation. The outcome of the long-term use of CO₂ emission and rural population has a negative influence on fruit crops. The energy consumption, harvested area, total fruit yield and agriculture labor force have a positive influence on six fruit crops. The long-run relationships reveal that a 1% increase in rural population and CO₂ will decrease fruit crop production by −0.59 and −1.97. The energy consumption, fruit harvested area, total fruit yield and agriculture labor force will increase fruit crop production by 0.17%, 1.52%, 1.80% and 4.33%, respectively. Furthermore, uni-directional causality is correlated with the growth of fruit crops and energy consumption. Also, the results indicate that the bi-directional causality impact varies from CO₂ emissions to agricultural areas to fruit crops.

This study also fills the literature gap in implementing ARDL for agricultural fruits of China, used machine learning methods to examine the impact of climate change and to explore this important issue.