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Although published research is limited to big data, some research focuses on the challenges that companies face in implementing big data projects. Specifically, in the field of information systems, researchers realize that the success of Big Data projects is not only the result of data and analytics tools and processes, but also includes broader aspects. To address this issue, people have come up with a perception of big data analytics capabilities, often defined as the ability of businesses to take advantage of data management, infrastructure, and talent to turn business into competencies.

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The relationship between analytics and organizational performance has been the subject of the extant research. Prior studies have highlighted the direct influence of analytics on organizational performance. For example, big data analytics capabilities are significantly correlated with market performance and operational performance. The mechanisms through which analytics affect organizations were also examined from various perspectives.

The paper provides strategic insights and practical thinking that have influenced some of the world’s leading organizations.

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Transparency is one of the finest characteristics of blockchain technology. As blockchain’s technical enablers are traceable and irreversible, transparency allows for more confidence in the system. This study aims to apply and extend the theoretical model of the unified theory of acceptance and use of technology (UTAUT2) by empirically investigating the factors (performance expectancy, price value, facilitating conditions, hedonic motivation, habit, social influence and effort expectancy) that influence users’ perceived transparency of blockchain-as-a-service for e-voting and its effect on adoption intention; to investigate the mediating effect of perceived blockchain transparency on the relationship between UTAUT2 antecedents and intention to use blockchain-based e-voting technology; and to investigate Generations Z and Y’s perceptions of how blockchain technology can be implemented to the current e-voting system.

The authors primarily used the MTurk crowdsourcing platform to host their online survey and collected 251 valid responses from their targeted participants, which the authors analyzed using Smart PLS 4.0.

The findings revealed that users’ perceived expectancy, hedonic motivation, facilitating conditions, habit and price value positively influence the perceived transparency of blockchain-as-a-service for e-voting. This, in turn, positively influences adoption intention. In addition, users’ perceived transparency positively mediates the relationship between UTAUT2 factors (perceived expectancy, hedonic motivation, facilitating conditions, habit and price value) and the adoption intention of blockchain-based e-voting.

By empirically investigating the factors that enhance users’ perceived transparency of blockchain-as-a-service for e-voting, this study contributes to the UTAUT2 model literature. It also investigates the impact of this perceived transparency on the adoption intention and illustrates its mediating role in the UTAUT2 model through a segmentation approach. Finally, the authors address the significant implications of the findings, including how their research contributes to the transparency literature by emphasizing the significance of transparency in blockchain technology.

The primary intent of this study was to assess the influence of novelty-seeking on the satisfaction of consumers. The investigation concentrated on Malaysian consumers who have experience using online food delivery (OFD) applications.

To perform the research, non-probability and convenience sampling methods were enforced to gather the required data. An online questionnaire in the form of a Google Survey was conducted in Kuala Lumpur, Malaysia. Upon completion of the survey, the results were analyzed using SPSS software. Both the Service Quality (SERVQUAL) model and expectation disconfirmation theory (EDT) were exploited to shed light on the impact of consumer satisfaction.

Analysis of responses from the 250 participants unveiled that novelty-seeking positively influences consumer satisfaction. The finding depicted that reliability and responsiveness have the most positive impact on consumer satisfaction whereas tangibility has no effect on the satisfaction of consumers by using OFD applications.

This study had three main limitations: first, the limitations on access to the participants during the pandemic; second, combining quantitative and qualitative methods to obtain more accurate results; third, the study was limited to the context of Kuala Lumpur, Malaysia.

The conclusions brought to the fore that OFD marketers should provide appropriate service quality while concentrating on novelty and well-designed apps to surge consumer satisfaction.

OFD apps have facilitated customers' access to various meals and helped food vendors survive in the competitive marketplace. A new aspect, novelty-seeking, is added to the SERVQUAL dimensions (i.e. empathy, tangibility, reliability, assurance and responsiveness) identified in the literature review.

The purpose of this study is to investigate the primary determinants influencing the acceptance of generative artificial intelligence (GAI) adoption within Blockchain-enabled environments. Further research will examine the impact of GAI adoption on supply chain efficiency (SCE) through the enhancement of Blockchain.

Drawing on innovation diffusion theory (IDT), this study used partial least square structural equation modelling (PLS-SEM) to look into the hypotheses. The data were gathered via online questionnaires from employers of Chinese supply chain enterprises that have already integrated Blockchain.

The findings of this study demonstrate that relative advantages (RAs), compatibility, trialability and observability have a significant positive effect on GAI adoption, while complexity harms GAI adoption. Above all, the GAI adoption has significantly enhanced Blockchain, thus effectively improving SCE.

The outcomes from this study furnish enterprises and organizations with valuable insights to proficiently integrate GAI and Blockchain capability, optimize supply chain management and bolster market competitiveness. Also, this study will help accelerate the successful integration of business processes and attain Sustainability Development Goals 9, industrial growth and industrial diversification.

To the extent of the author’s knowledge, the current status of the GAI study remains largely exploratory, and there is limited empirical evidence on integrating Blockchain capability and GAI. This research bridges the knowledge gap by fully revealing the optimal integration of these two transformative technologies to leverage their potential advantages in supply chain management.

This study examines the impact of physical environmental factors on customer retention in fast-food restaurants/cafeterias. Furthermore, this study examines the mediating effect of customers’ positive emotions on this relationship.

In this study, the stimulus-organism-response model developed by Mehrabian and Russell (1974) is applied within the context of the fast-food restaurant/cafeteria industry. Data were collected from a sample of 250 consumers who have patronized establishments within this industry. The assessment model entailed employing the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach, which involved a two-stage procedure: measurement model and structural model evaluation.

The study’s results underscore the key role of customer positive emotions in influencing customer retention. Notably, physical environmental factors, encompassing elements like table setting, layout, and service staff, emerge as significant determinants in shaping these positive emotions. Furthermore, the findings indicate that these physical environmental factors exert a direct influence on customer retention, with customer positive emotions acting as mediator role in the relationship between these factors and retention.

This study is the first to use physical environment, customer emotions and customer retention variables together in the fast food restaurant/cafeteria industry.