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Cryptocurrency, an important application of blockchain technology, has gradually circulated, and its use has become widespread. While cryptocurrency is growing rapidly, potential risks are simultaneously emerging. Users thus may abandon their usage behavior of cryptocurrency, hindering the future development of cryptocurrency. While prior studies focus more on the intention to use cryptocurrency in the pre-adoption phase, less studies pay attention to discontinuance usage intention in the post-adoption phase. To fill this knowledge gap, this stfudy aims to explore factors that cause discontinuance usage intention regarding cryptocurrency.

Based on the net valence framework theoretically grounded on the theory of reason action, a dilemmatic dual-factor model is proposed to figure out cryptocurrency users' discontinuance usage intention from the perceived risk and perceived benefit. This study identifies four potential risks and three potential benefits that affect perceived risk and benefit. The model with nine hypotheses were developed, and research data were collected by a survey method. A total of 343 valid responses were received, and PLS-SEM with SmartPLS was utilized to test the nine hypotheses, with seven hypotheses supported empirically.

Our findings demonstrate that financial, legal and operational risks are critical to increase users' perceived risk, and perceived usefulness and seamless transactions play important roles in enhancing users' perceived benefit. Moreover, while perceived risk can increase users' discontinuance usage intention to cryptocurrency, perceived benefit can mitigate such intention.

This study contributes nascent knowledge to the literature by examining factors that influence discontinuous usage intention in regard to cryptocurrencies, to firms that have issued or attempted to issue cryptocurrencies and to the potential users of cryptocurrencies by adjusting the mode of operation and investment strategies and reducing user costs, achieving a win-win situation for firms and users.

Recent years have witnessed the development of a variety of rating systems but the authors have little knowledge about their impact on users’ perceptions of information quality, cognitive decision effort, and enjoyment. The purpose of this paper is to understand the potential cognitive fit underlining the relationship between rating systems types (i.e. five-star, binary-visual, and binary-textual) and tasks (i.e. purchase-decision and browsing tasks) in the context of shopping websites.

A total of 191 subjects were obtained. This study conducted an experiment with a 2×3 between-subject factorial design. The first dimension is a task that has two conditions (purchasing vs browsing). The second dimension is a type of rating system that has three different types (binary-textual, binary-visual, and five-star).

The results show that the cognitive fit may occur when individuals use a five-star rating system to help them make a purchasing decision and when they use a binary-visual rating system while browsing. This fit might increase perceived information quality while decrease cognitive decision efforts, and in turn raise intention to adopt the systems. Moreover, five-star rating systems can make users feel more fun and enjoyment than binary-textual and visual rating systems, regardless of task type.

This study focuses on three main rating systems that are popular on shopping websites. Nevertheless, few other rating systems exist in the market such as unitary or ten-star rating systems. Further studies can consider other types of rating systems and address, in addition to representation, the issue of information granularity (i.e. unitary, binary, five-star, and ten-star rating systems).

The results of this study could provide design principles for web designers in determining which rating systems best match the websites they are developing. If the websites or specific webpages are more utilitarian oriented (hedonic oriented), five-star rating systems (binary-visual rating systems) are more appropriate.

This study contributes to the rating system literature by examining the cognitive fit underlining the relationship between rating systems types and tasks. Importantly, this study extends cognitive fit theory by considering affective responses, that is, perceived enjoyment and intention to continue to use.

This study aims to explore how consumers’ purchase intentions concerning dietary supplements are affected by two pivotal factors: pharmacist professionalism and celebrity endorser attractiveness. In addition, this study investigates the moderating role of consumers’ awareness of product knowledge about dietary supplements in the relationship between brand trust and purchase intention.

The research data was collected through online questionnaires from a convenience sample of 340 individuals residing in Taiwan. The research model, consisting of four hypotheses, was formulated based on a literature review. The partial least squares structural equation modeling technique was used for data analysis.

The findings indicate positive effects of both pharmacist professionalism and celebrity endorser attractiveness on dietary supplement brand trust. The results also suggest a significant impact of brand trust on purchase intention. Finally, product knowledge significantly moderates the relationship between brand trust and purchase intention.

The findings from this study provide valuable insights for marketers, pharmacists and practitioners about the drivers of consumers’ dietary supplement purchase behavior. It will enable marketers to develop better strategies for the dietary supplement market segment.

This paper has made a significant contribution to the understanding of consumer buying intentions toward dietary supplements, addressing a gap in the literature. First, unlike previous research, this study considers both pharmacist professionalism and celebrity endorser attractiveness in the research model, effectively bridging this gap. Furthermore, this study identifies the pivotal role of brand trust as a critical factor in enhancing consumers’ purchase intentions toward dietary supplements, offering valuable insights for dietary supplement companies regarding consumer purchase decision-making.

The purpose of this paper is to examine the relationship between competitive capabilities, including flexibility and collaboration between logistics service providers (LSPs) and their customers, and relationship quality, as measured by trust, dependence and commitment.

A total of 309 logistics managers were invited to participate in this study and structural equation modeling was performed to analyze the measurement and structural models.

The results show that both flexibility and collaboration positively influence trust and dependence. Moreover, dependence does not appear to influence commitment. Finally, the authors hypothesize and find that trust plays an important role in the research model and positively increase commitment.

The main limitation of this study is that this study used a cross-sectional survey approach to collect data on all research variables. Compared with longitudinal data, cross-sectional data might not be able to demonstrate completely the temporal sequence of the antecedents and consequences, which might result in spurious cause-effect inferences.

The findings offer several important implications for LSPs. First, the findings imply that LSPs need to make their customers want to share useful information related to operations and logistics. Second, flexibility plays an important role in forming customers’ trust in logistics service industry.

Little research has been done on combining a resource-based view (RBV) and relationship marketing (RM) together in logistics service context. Therefore, this study advances the RBV and RM and adds value to the literature by demonstrating the applicability of the observed relationships among LSPs.

The purpose of this study is to develop and examine an integrated mediating model that contains relationship benefits as the relationship antecedents; trust, relationship commitment and gratitude as mediators; and repurchase intention as the relationship consequence in a service business context.

The study recruited 253 respondents to test the proposed model. A partial-least-square-based structural equation modeling was adopted to evaluate the measurement of research constructs and test the research hypotheses that underpinned a proposed conceptual model.

The results show that confidence benefits increase trust more than social and special treatment benefits; social benefits have the most influence on relationship commitment; and special treatment benefits most greatly enhance feelings of gratitude. Thus, depending on the improvement objectives, marketers can accordingly choose the proper relationship benefits as a primary approach. Furthermore, both the direct and indirect effects of confidence benefits and social benefits on repurchase intention were significant.

The main limitation of this study is that all research variables were measured at a static point rather than as they were developing. Ignorance of the temporal sequence may incur the concern of possible spurious causal relationship inferences.

The study’s findings offer several important implications for service providers, which, in this study, were separated into high (e.g. such as hairdressing, beauty and massage) and low personal contact service groups (e.g. telecommunications and equipment maintenance). First, social benefits are more effective at increasing gratitude in the low personal contact service group, and at boosting trust in the high-contact group. Second, special treatment benefits increase gratitude much more in the high-contact group than in the low personal contact group. Third, gratitude has a much stronger effect on repurchase intention in the high personal contact group than in the low-contact group.

The interactions among relationship benefits, mediators (i.e. trust and relationship commitment) and outcomes remain unclear. Although the importance of gratitude as a mediator in relationship marketing (RM) has been shown, little research has examined how relational benefits influence repurchase intention through the combined mediating effects of commitment, trust and gratitude. Therefore, this study advances RM theory by examining the degree of additional explaining power that gratitude contributes to the commitment–trust model. The study also makes a practical contribution by building a research model to understand the nature of mediating roles played by relationship commitment, trust and gratitude in the service industry.

Based on the service-profit chain perspective, this study investigates whether service-oriented human resource practices can enhance customer outcomes through motivational mechanisms (i.e. intrinsic/extrinsic satisfaction) as well as emotional mechanisms (i.e. emotional labor strategies).

This study collected paired data from 220 service workers and their customers at different time points from 80 service firms. Multilevel path-analysis was conducted to test the proposed hypotheses.

Our results indicate that firm-level extensive training is positively related to service workers' intrinsic job satisfaction, which in turn increases deep acting. In addition, firm-level incentive compensation is positively associated with service workers' extrinsic job satisfaction, which in turn reduces surface acting. Finally, service employee's deep acting enhances customer loyalty and willingness to recommend via customer satisfaction.

The service organization should (1) stress the importance of incentive compensation to decrease surface acting via enhancing extrinsic job satisfaction and (2) provide extensive service training to improve service employees' intrinsic satisfaction and deep acting, leading to favorable customer outcomes.

The present study identifies the critical roles of motivational and emotional mechanisms in transferring service-oriented human resource practices to customer outcomes and employing rigorous research design to enhance the internal/external validity of our findings.

The purpose of this paper is to consist in examining the effect of the auditor’s behavioral and individual characteristics on the integrated reporting quality, in regard to a sample involving 130 European industrial companies, relevant to the year 2017.

The present study’s adopted methodology rests on the hypothetico-deductive approach. The relevant data applied are analyzed by means of multiple linear regression models.

The reached results prove to indicate well that both auditor specialization and auditor ethics factors appear to have a significantly positive effect on the integrated reporting quality. Noteworthy, also, is the fact that the audit firm size and auditor behavior have been discovered to have a positive and insignificant effect on the integrated reporting related quality.

Faced with the scarcity of studies linking the auditor characteristics and the integrated reporting quality, the present study is elaborated to provide some kind of modest contribution, whereby, the determinants of integrated reporting are distinguishably highlighted

The purpose of this paper is to provide an efficient algorithm for Extensible Markup Language (XML) twig query evaluation.

A single‐phase holistic twig pattern matching method based on the TwigStack algorithm is proposed. The method applies a novel stack structure to preserve the holisticity of the twig matches. Twig matches rooted at elements that are currently in the root stack are output directly.

Without generating individual path matches as intermediate results, the method is able to avoid the storage and output/input of the individual path matches, and totally eliminate the potentially time‐consuming merging operation. Experimental results demonstrate the applicability and advantages of our approach.

The paper proposes an efficient XML twig query evaluation algorithm, which by both theoretical analyses and empirical studies demonstrates its advantages over the current state‐of‐the‐art algorithm TwigStack.

This study proposes a multilevel framework to test the mechanisms and boundary conditions of the relationships between positive group affective tone (PGAT) and individual/team creativity.

Data are collected from 122 research and development (R&D) teams (including 305 members and 122 team leaders). Hierarchical linear modeling analyses and hierarchical regression analyses are performed to test hypotheses.

The results show that PGAT facilitates individual creativity via enhanced work engagement, and increases team creativity via team information exchange. Supporting the substituting perspective, we found that the positive indirect effects of PGAT on individual/team creativity were attenuated when supervisory support is high.

Although all variables were collected at the same time and the individual-level variables were collected from the same source, our findings highlight the mechanisms explaining the beneficial effects of PGAT on individual/team creativity, and how supervisory support can substitute for such effects.

In order to make the individuals and teams more creative, the organizations need to promote PGAT via the selection of appropriated leader and members or team social events. Moreover, supervisors support is particularly salient in enhancing team creativity when PGAT is low.

This study is the one of the first study to test the motivational/social mechanisms linking the relationship between PGAT and individual/team creativity, and the competing theoretical perspectives regarding how supervisory support can moderate the PGAT–creativity linkage.

Efficient processing of XML queries is critical for XML data management and related applications. Previously proposed techniques are unsatisfactory. The purpose of this paper is to present Determined – a new prototype system designed for XML query processing and optimization from a system perspective. With Determined, a number of novel techniques for XML query processing are proposed and demonstrated.

The methodology emphasizes on query pattern minimization, logic‐level optimization, and efficient query execution. Accordingly, three lines of investigation have been pursued in the context of Determined: XML tree pattern query (TPQ) minimization; logic‐level XML query optimization utilizing deterministic transformation; and specialized algorithms for fast XML query execution.

Developed and demonstrated were: a runtime optimal and powerful algorithm for XML TPQ minimization; a unique logic‐level XML query optimization approach that solely pursues deterministic query transformation; and a group of specialized algorithms for XML query evaluation.

The experiments conducted so far are still preliminary. Further in‐depth, thorough experiments thus are expected, ideally carried out in the setting of a real‐world XML DBMS system.

The techniques/approaches proposed can be adapted to real‐world XML database systems to enhance the performance of XML query processing.

The reported work integrates various novel techniques for XML query processing/optimization into a single system, and the findings are presented from a system perspective.