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This paper aims to highlight the effect of mobile commerce (m-commerce) ubiquity on usage behavior as well as the mediator mechanism of brand trust between ubiquity and usage behavior. To extend the findings, this research also examines the moderator role of product reputation on the nexus between brand trust and usage behavior in the m-commerce context.

Given the quantitative approach, the authors gathered 1,565 valid responses from m-commerce app users. Data were analyzed in SmartPLS 4.

Ubiquity positively impacted brand trust, and the latter positively influenced m-commerce usage behavior. Brand trust also partially mediated the effect of m-commerce ubiquity on usage behavior, along with product reputation moderating the positive effect of brand trust on usage behavior.

By combining resource-based theory with signaling theory in the stimulus-organism-response (S-O-R) framework, this paper's novelty focuses on the investigation of m-commerce ubiquity, brand trust as a mediating mechanism and product reputation as a moderator in explaining usage behavior in the m-commerce context.

Large supermarket chains are adopting customer-service robots to improve service delivery in physical stores. Successful deployment of these robots depends on shoppers' willingness to interact with them, requiring an understanding of influencing factors. This study, grounded in the Cognitive-Affective-Normative (CAN) theory, seeks to systematically explore the factors influencing Gen Z shoppers' willingness to interact with customer-service robots.

A hybrid approach combining Structural Equation Modeling (SEM) and Necessary Condition Analysis (NCA) was employed to analyze survey data collected from 945 Gen Zs in the Czech Republic.

The results from SEM highlight significant cognitive, normative, and affective factors that influence the intention of Gen Z shoppers to interact with a customer-service robot. Specifically, cognitive factors such as effort and performance expectancy, along with normative factors like subjective norms, emerged as critical determinants. Furthermore, affective factors such as technology anxiety and positive emotions significantly influence users' readiness to use customer-service robots for service requests. The study also underscores that positive emotions, effort expectancy, performance expectancy, and subjective norms are vital prerequisites for interacting with customer-service robots.

The originality of this work lies in its two significant contributions to the burgeoning field of SRs in retail literature. First, it extends the CAN theory to the context of SRs among Gen Z shoppers in Czechia, thereby enriching the existing literature on SRs in retail. Second, by employing a hybrid analytical approach, our research offers both empirical and methodological advancements, providing rigorous insights crucial for enhancing the understanding of the pivotal factors influencing shoppers' interactions with SRs in physical store environments.

This paper aims to examine the Islamic marketing literature to uncover potential customer adoption behaviours and enhance the effectiveness of blockchain-based halal logistics services in catering to customer demands. The findings of this paper provide substantial contributions to the realms of both halal logistics services and Islamic marketing literature, delineating future paths for research. By delving into halal logistics practices, integration procedures and service provider performance, this paper assists stakeholders in enhancing halal logistics services to meet the changing demands of customers effectively.

This paper uses a systematic review incorporating bibliometric analysis to examine past and contemporary research topics, selecting and appraising contributions while analysing and consolidating data. A methodical approach has been used to identify, assess and incorporate pertinent studies on Islamic characteristics, traceability technology, blockchain integration and halal logistics practices.

After screening and analysing 139 selected documents with the VOS viewer, it is evident that among a 1,000 keywords, 15 stand out in terms of frequency and link strength. The research highlights the considerable academic interest in themes such as “blockchain”, “halal logistics” and “supply chain”, underscoring their importance. The findings of this paper help bridge the gap in Islamic marketing by linking technology with religious values. It suggests that the integration of blockchain technology in halal logistics enhances operational efficiency while aligning with both operational and Islamic marketing principles, promoting ethical conduct and transparency as key enablers.

The theoretical significance of this paper lies in establishing a correlation among three key research domains: technology, symbolised by blockchain; customer-centric operations, incorporating the halal supply chain and logistics within Islamic marketing. The outcomes reflect consumer behaviour and Shariah compliance. This integration has the potential to introduce innovative theoretical frameworks that encompass religious ethics in marketing, logistics and technological advancements.

This paper comprehensively analyses the intersection between blockchain technology, halal logistics, supply chain management and Islamic marketing. The paper has comprehensively analysed previous studies and outlined the future research path for blockchain technology in halal logistics and its application in Islamic marketing literature.

This study aims to prepare some disperse dyes based on pyrazole derivatives and fully evaluate their use as azo-disperse dyes linked with pyrazolo[1,5-a] pyrimidine. This study aims to prepare dye polyester fabric at different conditions (pH and time) at a depth of 4% using a high-temperature pressure process in water.

The disperse dyes were created by dissolving enaminone and pyrazole derivatives in glacial acetic acid and fusing sodium acetate at reflux for 6 h. The chemical structure of the produced dye was studied using elemental analysis, Fourier-transform infrared spectroscopy, 1H NMR and 13C NMR spectroscopic analytical methods. The dyeing of Dispersed dyes 14–16 on polyester under diverse conditions was comprehensively investigated in this work.

The prepared Organic dyes 14–16 were found to be highly functional and suitable for this type of dyeing technique. High color strength is possessed by the materials dyed with Disperse dyes 14–16. Even in low alkaline conditions, these dyes exhibited a strong affinity for polyester fabric, changing just little in response to pH changes. The hue of the dyed polyester samples varied from beige to reddish brown and yellowish brown because of the coupler moieties.

This study is important because it offers novel dyes that may be used to dye polyethylene terephthalate fibers that exhibit remarkable brightness and levelness. It also offers a viable solution for creating a variety of colors in polyester fabrics.

This study aims to dissect and understand the latent themes of Islamic work ethic (IWE) and explore the driving factors of IWE research.

Structural topic modeling (STM), a sophisticated machine learning technique, was used to analyze a corpus of 205 articles sourced from the Scopus database. These articles cover the 36 years of research on IWE, from 1988 to 2024. Moreover, negative binomial regression was applied to examine the driving factors of IWE research.

The STM analysis unfolds ten topics in conjunction with IWE including individual success, workplace dynamics, organizational work ethics, knowledge management, employee citizenship behavior, financial ethics, job satisfaction, organizational commitment, performance enhancement and leadership. The further STM outputs included word clouds, prevalence proportions, correlation matrix, heatmap, relationship of topics with metadata, topic prominence in the publishing journals and, finally, illustrating trends and future prospects of research on IWE. The results of negative binomial regression reveal that number of authors, article age, journal indexing, authors from multiple countries and number of references are strong drivers of fostering research in IWE, by having significant positive impacts on total citations.

The insights from this study provide valuable guidance for businesses and organizations looking to integrate IWE principles into their operations. By promoting values such as fairness, hard work and ethical behavior, organizations can foster a more inclusive and morally grounded workplace culture. This, in turn, may lead to enhanced employee satisfaction, greater organizational commitment and improved overall performance. Additionally, the emphasis on ethical practices can contribute to broader societal benefits, such as increased trust in business practices and a stronger alignment with social responsibility initiatives.

This is a unique study that explores the latent themes and characteristics of the IWE literature through STM and provides insights on the future research directions. In addition, this study also examines the driving factors of IWE research.

The purpose of the study was to investigate the effects of artificial intelligence (A.I.) awareness, advertisement models and source-message incongruence on consumer evaluations of A.I.-generated advertisements. It explores how these factors interact in shaping consumer perceptions and advertising effectiveness.

A 2 (source-message (in)congruence: incongruent vs. congruent) x 3 (A.I. awareness: unawareness, pre-advertisement, post-advertisement) x 3 (advertisement model: traditional human, virtual human, digital twin) between-subjects design was employed in this study. Using stratified random sampling, a total of 231 undergraduate students were recruited from course groups and randomly assigned to one of nine experimental treatments, each involving the viewing of a specific A.I.-generated advertisement followed by a survey. Data were analyzed using two-way ANCOVA and regression analyses, controlling for participants' involvement in sports and brand.

The results indicated that A.I. awareness timing, advertisement model types and source-message incongruence significantly affected consumer evaluations of advertisements. A.I. awareness generally had a positive impact on evaluations, with the most favorable outcomes when awareness of the A.I.-generated nature occurred after viewing the advertisement. Virtual human models were rated the lowest, while digital twin and traditional human models received similarly positive evaluations. Source-message incongruence negatively influenced evaluations. An interaction effect was observed between A.I. awareness timing and advertisement model types under high source-message incongruence, where virtual human models showed the highest effectiveness when A.I. awareness occurred after viewing.

Given that sports are characterized by the transcendence of human limitations and the emphasis on physical and emotional challenges – elements that A.I. cannot replicate – it is essential to examine how sports consumers perceive A.I., which, despite offering efficiency and personalization advantages, contrasts with the fundamentally human nature of athletic performance. This research contributes to the literature on A.I.-generated advertising by uniquely investigating the interaction between A.I. awareness timing and advertisement model types within the context of source-message incongruence. It offers critical insights for practitioners and researchers on strategically timing A.I.-generated ad disclosures and selecting appropriate advertisement models to optimize their effectiveness. By addressing these underexplored variables, the study enhances understanding of consumer perceptions and provides a foundation for more effective A.I. integration in advertising practices.

The purpose of this study is to scrutinize the extent of forward-looking (FL) disclosures and explore the impact of corporate governance (CG) on FL disclosures in integrated reporting (IR) in the context of the banking industry in Bangladesh.

Twenty-two listed banks in the Dhaka Stock Exchange (DSE) are selected as a sample from 2018 to 2022. For content analysis purposes, the study has developed an unweighted self-constructed disclosure index with 58 items and extracted data manually from the integrated annual report. Furthermore, descriptive statistics is conducted to analyze the extent of FL disclosures, and a pooled ordinary least squares regression model is used to examine the impact of CG (directors’ ownership, institutional ownership, foreign ownership, board of directors, independent directors, female directors and audit quality) on the FL disclosures.

This study reveals that the banking industry’s average FL disclosure score is only approximately 43%, indicating a meager degree of disclosures in Bangladesh’s well-structured sector. This study also finds that directors’ ownership, foreign ownership, female directors and audit quality have a statistically significant and positive relationship with FL disclosures at a 5% significance level. By contrast, institutional directors and the board of directors have a substantial but negative impact on FL disclosures. However, the other exponential variable, independent directors, has no impact on FL disclosures.

This study has some limitations, such as: i) the sample size is restricted to 22 banks, whereas nearly 36 banks are listed in the DSE. The sample size should be increased for better results. ii) The study only considers the banking sector with a small sample, but other sectors have been omitted from the sample. iii) The data have been extracted from the annual report, but other relevant sources such as banks’ websites, prospectuses, press releases, and media releases are not considered. iv) Finally, the self-constructed unweighted disclosure index is affected by subjective judgment. For depth analysis, a weighted method for content analysis purposes will be applicable.

Since there is no specific guideline for FL disclosures, this study suggests that the practical implication is for the regulatory body and policymakers to take the initiative to design a framework for FL disclosures that will improve disclosure quality. Second, they can investigate the independent director’s role in the banking sector to discover the existence of old-boy network problems.

Investors will benefit from the proper judgment about the firm’s forward-looking disclosures, hence making effective decisions.

To the best of the authors’ knowledge, no particular study has been conducted on CG mechanisms and FL disclosures in the IR perspective of the banking sector in Bangladesh. So, this study may contribute to the existing literature.

This paper aims to examine the structure and content of religious tourism destination image through the reviews of visitors to Makkah and Medina, two of the world’s most popular Muslim pilgrimage sites.

This is an exploratory netnographic study of the 913 reviews posted on TripAdvisor from 2018 to 2022. The structure (dimensions and attributes) and content (variables) comprising the construct of religious tourism destination image emerge through manual thematic analysis and confirmed through content analysis.

Religious tourism destination image is a three-dimensional – cognitive, affective and conative – construct comprising both religion-specific, generally sacred and secular variables in a single, indivisible crystallization of experience.

Destination marketing organizations and marketers of tourism enterprises should regularly analyze visitor reviews posted on social media and carefully manage all variables of the religious tourism destination image, specifically stressing the religious aspect.

To the best of the authors’ knowledge, this is the first systematic analysis of the structure and content of religious tourism destination image based on detailed consumer evaluations and unprompted storytelling.

Underpinned by affective events theory (AET), this paper examines the effect of coworker friendship on coworker incivility in family-style restaurants. Furthermore, this paper seeks the mediation effect of positive workplace gossip.

Using a time-lagged approach, 83 headwaiters and 326 servers at family-style restaurants located in Port Said and Ismailia responded, and their responses were analyzed using AMOS v. 24.

Multigroup analysis findings proved that coworker friendship increased positive workplace gossip in favor of the server sample. At the same time, the latter decreased coworker incivility in favor of the headwaiter sample. Besides, positive workplace gossip partially mediated the coworker friendship–incivility association in favor of the server sample. Furthermore, incivility levels increase between married coworkers and their peers in favor of the server sample.

From the AET lens, this paper offers valuable insights into affective and emotional reactions to closest coworkers' judgmental behavior in the restaurant industry.

This study aims to deepen the understanding of what stakeholders talk about when it comes to sustainable fashion on social media and how. Sustainable fashion is a broad umbrella term, which can distract attention from the differences between the individual subtopics and the sentiments ascribed to them. However, little systematic research exists on how the stakeholder activity and dominant sentiments vary across different sustainable fashion topics.

This study is based on a social media analysis of 19,179 tweets authored by 1,819 distinct stakeholders on Twitter (now “X”) from 2007 to 2022. A large language model, a type of artificial intelligence (AI) that focuses on understanding and generating human language, is used to conduct a sentiment analysis of six stakeholder groups and 81 keywords linked to sustainable fashion. Two case examples are used to highlight the differences in stakeholder perceptions of sustainable fashion.

The social media analysis demonstrates how subcategories of sustainable fashion significantly differ in terms of stakeholder interest, activity and sentiments. For instance, tweets on circular economy and relevant subcategories (closed loop, recycling, upcycling, etc.) are popular, whereas issues linked to environmental, social and governance (ESG) and due diligence receive little attention on social media. While sentiments toward sustainable fashion are in general positive, discussions on topics such as labor rights issues are consistently associated with negative sentiments across most stakeholder groups.

This study contributes to the literature by demonstrating how stakeholders and sentiments vary across different topics linked to sustainable fashion on social media, which has become one of the main channels for communicating sustainability content. The findings thereby shed new light on dominant stakeholder positions regarding a wide variety of sustainable fashion topics.