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In a dual financial system where both conventional and Islamic financial institutions co-exist, the motives behind customers’ choices of financial products remain a crucial factor to comprehend. Thus, this paper aims to examine the influence of Islamic financial literacy (IFL) and motives (religious, ethical and economic) on the holdings of Islamic financial products (IFPs).

The sample consists of 234 bank customers in Klang Valley, Malaysia, with data obtained through a convenience sampling method. The instrument used was a digital survey that was electronically sent to respondents.

Findings reveal that IFL and religious motives positively influence IFPs, whereas economic motives negatively influence IFPs. Ethical motives have no significant impact on IFPs.

The findings imply that IFPs attract customers due to their adherence to Islamic teachings, indicating strong religious motives. However, the negative leanings of the economic motive suggest that customers may perceive IFPs as less favourable due to higher costs and risks relative to conventional products. Islamic financial institutions must widen their efforts in educating the public regarding IFPs on the benefits of adherence to Shariah principles and at the same time improve their products’ cost-benefits.

This study contributes to the literature by comprehensively examining IFPs in terms of both assets and financing products. In addition, IFL is measured in an all-inclusive way, covering different dimensions of knowledge related to Islamic savings, investments, protection and financing.

This study aims to develop and validate an accurate machine learning model to categorize NBA fans into meaningful clusters based on their perceptions of sport sponsorship. Additionally, by predicting the intensity of NBA fans’ attitudes toward sponsors, the authors intend to identify the specific features that influence prediction, discuss these findings and offer implications for academics and practitioners in sport sponsorship.

This study used a sample of 1,142 NBA fans who were recruited through Amazon Mechanical Turk (MTurk). Fans identification, sponsorship fit, behavioral intentions, sponsor altruistic motive, sponsor normative motive, sponsor egoistic motive were surveyed as predictors, whereas fans’ attitudes toward sponsors was collected as the dependent variable. The LASSO regression, SVM, KNN, RF and XGboost were used to develop and validate the prediction model after verifying the measurement model by the Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA).

The RF model had the best accurate in predicting the intensity of fans’ attitudes toward sponsors, achieving an AUC of 0.919 with a sensitivity of 0.872, a specificity of 0.828, a PPV of 0.873, a NPV of 0.828 and an accuracy of 0.848. The most influential feature in the model was “the fit of 0.301”. “Fans’ perceptions of sponsor’s normative motive”, “behavioral intentions supporting sponsors”, “fans’ identification with their favorite team”, “fans’ perceptions of sponsor’s altruistic motive” and “fans’ perceptions of sponsor’s egoistic motive” were exhibited in descending order.

This study is the first in sport sponsorship to accurately classify the intensity of fans’ attitudes toward sponsors as either high or low using machine learning models, and to formulate how fans’ attitudes formed toward sponsors from their perceptions of sponsorship process.

This paper aims to develop and validate a scale to measure knowledge-sharing motives at work. It is aimed to construct a scale which is explicitly different from knowledge-sharing behavior and to develop a comprehensive and domain-specific scale for this special kind of work motivation.

The constructed scale was tested in two studies. Survey data (n = 355) were used to perform an exploratory factor analysis. Results were further tested on survey data from the core public sector (n = 314) and the health sector (n = 315). A confirmatory factor analysis confirms the results in both samples. The developed scale was further validated internally and externally.

The analysis underlines that knowledge-sharing motivation and knowledge-sharing behavior are different constructs. The data suggest three dimensions of knowledge-sharing motives: appreciation, growth and altruism and tangible rewards. While it is suggested that the developed scale works in the public as well as the private sector context, it is found that knowledge sharing of public employees is merely driven by “growth and altruism” and “appreciation of coworkers.”

No comprehensive and reproducible scale to measure knowledge-sharing motives, which is different from behavior and domain-specific as well, was available in the literature. Therefore, such a scale has been constructed in this study. Furthermore, this study uses samples from different organizational sectors to deepen the understanding of knowledge sharing in context.

This study aims to investigate the factors that make people want to hold cryptocurrency. Besides prior experience with holding crypto, this paper considers various expectations and conjectures about the future as key determinants.

Data for this study come from an online survey in the USA. Econometric analyses help to quantify the relative importance of drivers of demand for cryptocurrency.

Survey respondents will more likely hold cryptocurrency in the future the more they expect cryptocurrency to replace government money, to increase transparency in monetary affairs and to yield high profits. Importantly, demand is shown to be driven by the anticipation that nonmonetary uses of the Blockchain technology will have a spillover effect on the Bitcoin price. By contrast, subjective expectations of a crypto-induced financial crisis dampen demand. Econometric analyses show that differences in the future demand among people with and without prior holdings of cryptocurrency largely stem from differences in their expectations.

By relating individuals’ expectations to their plans, the present approach offers more insights than the mere attitude surveys already available. This paper’s insights on crypto demand drivers indicate that regulators should be wary about signaling safety of an asset whose fundamental value is still uncertain.

This study aims to identify perceptions of financial crime among students in six different countries.

Survey research was conducted among students in India, Iran, Malaysia, Norway, Romania and the USA to compare the ranking of perceptions.

The following three propositions for financial crime had most agreement among respondents: lack of oversight and guardianship, legitimate access to resources and heroic offender status.

Scholars involved in various countries conducted survey research at different points in time with little knowledge of each other’s survey populations and response rates.

Crime convenience and, thus, attractiveness can be addressed by focusing on propositions finding the strongest agreement in the surveys.

Agreement and lack of agreement indicate priorities in fighting financial crime.

The diversity of nations involved in survey research makes this study interesting.

The study aims to provide a reference for market segmentation in a relatively new market. Esports consumer profiles are developed based on consumption motives, structural factors, game genres, interests, demographics and behavioral intentions. It delivers managerial advice for a growing esports market.

A quantitative approach using an online survey was implemented to identify homogenous groups. The study employed the Motivation Scale for Sports Consumption (MSSC) to investigate the consumption motives of esports consumers. A two-step market segmentation was conducted based on the motives, applying hierarchical clustering. Moreover, descriptor variables were used to create distinct esports consumer profiles.

This research divides the esports market into four clusters based on MSSC, which is new and relevant in a constantly changing environment. The clusters are named Low Intention Novices, Leisure Warriors, Socializing Learners and Dedicated Enthusiasts.

This adds to the limited literature on esports market segmentation and highlights the theoretical and practical implications of the findings.

This study combines the TAM and UGT frameworks to investigate how Vietnamese students' views of ChatGPT and intrinsic needs affect their intentions to use it for education (via variables including perceived ease of use, perceived usefulness, novelty, information seeking and academic content creation). We will employ TAM theory (Davis, 1989) and UGT theory to elucidate university students' motivations for utilising ChatGPT in Vietnam. Simultaneously, we aim to address the limitation stemming from data uniformity. Our research will make a substantial contribution to the understanding of researchers regarding the use of ChatGPT and its varied consequences as it grows and develops.

This study was conducted at a private university in Vietnam with an estimated population of 15,000 students. One of Vietnam’s top private information technology institutions requires its students to use a variety of information and communication technologies (ICTs) on a regular basis to facilitate and enjoy their academic pursuits (Ngo, 2024; Nguyen). Students who are familiar with ChatGPT and have access to it for educational purposes are the ones that were chosen. This research is a quantitative study that utilises primary data through a survey method. Participants answered a questionnaire online through the Google Form platform sharing via social media platforms from October to December 2023. The questionnaire was divided into two sections: the first contained screening questions and demographic information and the second had five-point Likert-scale questions that measured the study’s components. Two screening questions are used to separate out the intended responders. (i.e. “I have heard the name ChatGPT” and “I know about ChatGPT”) were set to find whether the participants had any knowledge of ChatGPT. If participants were unaware of ChatGPT, their responses were not included in the study. A total of 283 responses were received. The participant’s demographic information is shown in Table 1. It is believed that a sample size of more than 200 provides adequate statistical power for data analysis in structural equation modelling. It is evident that the 283-sample size in this study is adequate to evaluate the research hypothesis and the fitting model. 42.9% of the 283 research samples were made up of men, while 57.1% were women. Business administration accounted for 40.1% of survey respondents, followed by information technology (25.2%) and English language (14.5%). The average ChatGPT usage time of respondents was 56 min in a single use. The study sample’s average age is 20–72 years old.

The present study contributes to the existing AI chatbot literature in the educational industry in several ways. First, this study addresses a gap in the literature by investigating the factors that influence students’ ITU ChatGPT for educational purposes in Vietnam. Using the extended model, we investigated factors influencing students’ intentions to use ChatGPT. It integrates three motive factors of the UGT (ACT, IS and N) with the core factors of TAM (PeoU and PU). The integrated framework’s findings indicate that in a Vietnamese educational setting, ChatGPT is a novel technology that should be considered in conjunction with PU and PEoU.

First, only Vietnamese students make up the research sample. To increase the relevance of the findings, it is advised that future research look at the study model in various geographic regions. Second, the present investigation’s constraints arise from the lack of clarity about the Chat GPT version utilised by the respondents, specifically whether it was the free or premium edition. Furthermore, the limited duration of the survey presents an obstacle to gathering thorough data. Due to their reliance on the particular features and functionalities of the Chat GPT version used, these restrictions may have an effect on the researcher’s objectivity. Furthermore, the limited survey time may curtail the coverage of the collected answers, particularly considering that our survey predominantly focuses on business administration students, thus limiting the diversity and richness of the gathered data. We recommend that future studies should conduct comparative research between different versions of GPT Chat, including free and paid variants that can provide valuable insights into potential differences in performance and results. Such analysis can provide a deeper understanding of the strengths and limitations of different GPT Chat versions. Third, because the study focused on behavioural intention, actual usage and post-usage behaviour may not be covered by the findings. To gain a deeper understanding of users' actual behaviour, we suggest doing research on their usage and post-usage behaviours.

The findings will assist service providers and legislators in determining critical variables and influencing students' incentives to use ChatGPT in educational settings that use constructivist teaching methods. As a result, the information will assist service providers in creating AI chatbots that are more user-friendly, visually appealing, efficient, safe and convenient for education. Governments, in conjunction with service providers, have the potential to significantly accelerate the adoption of AI-based chatbots by highlighting their ethical and sustainable use. The findings demonstrate that students' ITU towards ChatGPT is substantially impacted by PU and PEoU. It is recommended that service providers emphasize the advantages and ease of use of AI chatbots in order to draw new clients. Additionally, in order to promote ChatGPT or related technologies, marketers should concentrate on raising the technology’s perceived novelty value. This is because people are open to new technologies as long as they believe they are interesting and innovative.

ChatGPT is an advanced AI-powered chatbot that has the potential to advance and revolutionize the learning and teaching process. This study attempted to look at the elements that lead students to want to use ChatGPT from an academic standpoint by combining the UGT and TAM. For practitioners, academics and educators, the findings provide a solid knowledge of and encouragement for the sustainable use of such AI tools. Despite having important practical consequences, the study contains a number of limitations that indicate possible research gaps that should be filled by further investigation.

A total of 478 Americans participated in an online survey. Each participant was asked to answer questions about a company randomly assigned from one of 36 companies representing six industries.

This study aims to explain how corporate social responsibility (CSR) and negative corporate ability (CA) associations lead to negative word-of-mouth (WOM) intentions in non-crisis situations. Specifically, this study investigates the mediating roles of revenge and avoidance motives in the relationship between negative CSR and CA associations and the intention to generate negative WOM.

The findings indicate that negative CSR associations have a greater effect on WOM than negative CA associations. Moreover, negative CSR associations stimulate the revenge motive, resulting in stronger intentions to spread negative information, while negative CA associations lead to the avoidance motive, resulting in weaker intentions to spread negative information.

Unlike most previous studies that focused on crises, this study examines how negative CA and CSR associations influence negative WOM in non-crisis situations, shedding light on the roles of motives including the revenge and avoidance. The research fills a gap in the existing literature by demonstrating that negative CSR associations have a greater impact on negative WOM intentions than negative CA associations in non-crisis situations.

The purpose of this study is to expand corporate social responsibility research in communication management by understanding the dynamics of university social responsibility (USR). The COVID-19 pandemic and social justice protests of 2020 provide a context to study communication about universities’ dual roles as economic engines and social activists. Messaging from a university about its social responsibility goals can impact student perceptions.

A survey was conducted of 493 students enrolled at a major university in 2020. Students were asked about two real campaigns at their university, one about healthy behavior and one about racial justice on campus.

Altruism positively predicted reputation, trust and donation intent, while distrust was inversely predicted. Message credibility and believability were mediators of these relationships, but only source credibility mediated altruism for the social justice campaign. For universities, this study demonstrates the importance of communicating social responsibility messages with students. As an important and overlooked stakeholder group in USR, students may respond positively to these messages, which have implications for their potential willingness to donate after graduation.

This study contributes to the literature by merging variables from public relations and marketing with theory development in higher education management to provide a new perspective on ethical organizational communication.

This study aims to the perceptions of the administration of Greek universities on sustainable development and the role of the administration in the implementation of corresponding practices. Specifically, it examines management’s perception and contribution to sustainable development and assesses the sustainability initiatives taking place in universities and the factors that influence their implementation. The obstacles and motivations in the implementation of these actions are also investigated.

For the empirical analysis, a survey was conducted during the period March–June 2022, addressing questionnaires to 12 rectors or vice rectors dealing with the sustainability of the respective 12 Greek universities. Secondary data about their sustainability practices were also collected from the institutions’ official Web pages.

The results show that management’s perception of sustainable development mainly concerns the conservation of resources for future generations and the balancing of the economy. Moreover, the findings indicate that universities play a significant role in achieving sustainability by contributing to the educational process, conducting research and serving as a model of sustainability for both the educational community and society as a whole. Financial and institutional barriers are characterized as the most important obstacles for adopting sustainability practices. The most popular motives to promote sustainability issues are financial support of universities, in addition to the governmental support of the leadership and, in particular, of the rectorate authorities.

To the best of the authors’ knowledge, this study is the first conducted among the Greek universities that focuses on administration’s viewpoint and contributes to the international dialogue on the implementation of sustainability by higher education institutions. The results provide preliminary evidence of top management responses to endorse sustainability activities at the higher education institutes in the broader area of Eastern Europe.