Search results

On Instagram, a verified badge (a blue checkmark) is used to confirm the authenticity of influencers' accounts for consumers. Yet, it is unclear whether followers trust the badge or are influenced by the influencer's large following. This research aims to investigate the impact of verified badges on followers' trust and behavioral intentions.

This research conducts three experiments to investigate the impact of the verified badge on consumer attitudes and behavioral intentions, recruiting participants from freelance recruiting website in all three experiments.

The results show that a verified badge can sequentially influence consumer trust, attitude and sharing intentions. Furthermore, the impact of the verified badge on trust is more pronounced among micro-influencers as opposed to macro-influencers, and it can mitigate the negative attitude toward commercial postings.

Based on trust transfer theory, this research is a pioneer in investigating the effectiveness of verified badges on social media. These findings contribute to the field of influencer marketing by considering influencers' characteristics and the commercial intent of postings as moderators. Additionally, the results offer managerial insights for developing influencer marketing strategies.

This paper describes a computer supported ubiquitous learning environment for minority language learning. Hakka language involved various tones, art, craft, festivals, food, drink, medicine, religion and custom in different regions. The tones also vary across the dialects of Hakka. The majority of Hakka dialects have six tones in Taiwan. The context for Hakka language translation and use is extremely important. The purpose of this paper is to present the context-aware annotation service to help readers get the right information for Hakka language use and learning more easily.

This paper proposes the context-aware learning support system for Hakka culture-specific items or language, which is called Hakka culture-specific items annotation system (HACSIAS). HACSIAS is the context-aware annotation system, helping learners to add links of culture-specific items when they are reading the electronic journals, books, and web pages.

The HACSIAS provides learner appropriate information for Hakka culture-specific items deriving the learner’s situation and personal information. The context-aware computing will automatically provide translation service by searching a given culture-specific items database while these items or terminology appear in a document, either by displaying terms in the translation memory.

The context-aware annotation system for Hakka culture-specific language learning allows Hakka cultural resources to be smoothly integrated into learning materials.

This study aims to not only develop measurements of preferential attachment and homophily mechanisms based on their definitions and network theory but also examine the associations among these network mechanisms, community commitment, knowledge sharing and community citizenship behavior.

In total, 250 valid questionnaires are collected to examine the hypothesized associations. These hypotheses are examined by using partial least squares structural equation modeling.

The findings reveal both mechanisms are beneficial to develop new entrants’ emotional attachment to a virtual community, thereby motivating knowledge sharing and community altruistic behavior. The results contribute some practical and theoretical implications that are very helpful for the conceptualization of network mechanisms, community development, relationship management and incentives for extra-role behavior.

The literature on the link between network selection mechanisms and knowledge sharing remains unknown. This study is the pioneer to disclose this unknown association and examine the impacts of preferential attachment and homophily network mechanisms.

The purpose of this paper is to enrich the understanding of how to form a multi-item assessment and what approaches can be applied for researchers.

This study proposes three ways to form a multi-item assessment (i.e. separate, formative and reflective approaches) and further makes a comparison between these three approaches.

The results show that multi-item assessment, particularly for formative and reflective constructs, has greater explanatory power in the research model. Finally, this study provides a roadmap to guide future researchers’ decision strategy for selecting multi-item assessments.

Due to the multi-faceted nature of research, using a single indicator to judge a scholar’s research performance will never reveal a multi-faceted picture and can easily result in measurement bias. In this vein, researchers should use different evaluation approaches and indicators to address various forms of research outcomes. However, prior studies rarely adopt multi-item scales to evaluate research performance and seldom discuss how to build a composite construct of research performance. This study aims to fill this research gap in the literature.

The purpose of this paper is to examine the causal associations among service innovation/improvement, organisational citizenship behaviour (OCB), and the user-perceived value of e-services. The context of service delivery is particularly based on human interaction in e-service encounters.

In total, 403 respondents from 53 different service departments were selected in this study. To fit the structure between respondents and departments, this study uses hierarchical linear modelling to examine the research model.

The results indicate that service innovation/improvement and the OCB of department staff both positively affect the user-perceived value of e-services. However, the OCB of department staff does not have a moderating effect on the association between service innovation/improvement and the user-perceived value of e-services.

Prior studies suggest that the OCB of service employees strongly reinforces customer perceptions of service quality and satisfaction. However, this causal association was proven in the context of face-to-face human interactions. This study is a pioneer study in examining the associations between OCB and human interaction with e-services.

The purpose of this study is to explore the feasibility of applying an internet‐based information system (IBIS) to facilitate business alliance activities, especially for small and median enterprises whose business performance is highly dependent on their strategic alliance partnerships.

A case study of six firms was conducted to understand current business alliance practices in Taiwan and to investigate the demand for applying IBIS systems in business alliance activities. A prototype of the IBIS system was also developed and evaluated.

We found that communication and information sharing are the most appropriate activities in business alliances for the application of an IBIS system and that the decision to adopt an IBIS system is dependent on the allied partners' support and the technological capabilities they possess. However, the lack of trust in internet security is one of the key factors that may hinder enterprises from applying the IBIS system to business alliance activities.

The prototype IBIS system was tested by two case firms. Though the test result was positive, a larger test group might be helpful in discovering ways of improving the system for practical use.

The positive result of the system evaluation supports the feasibility of applying the IBIS system to facilitate business alliance activities.

Both the IBIS system and strategic alliance are important research issues in business. However, integrative research of the two issues is seldom undertaken. This study validates the feasibility of applying the IBIS system to increase the operational efficiency of a strategic alliance.

Based on prior studies, the performance of customer relationships depends highly on the characteristics of the e‐service. However, the strength of this association can be impacted when businesses employ multichannel services (e.g. offering online and offline services). With multichannel services, any inconsistency in perceived quality across channels may result in customer distrust toward a service provider. The purpose of this study is to investigate the effect of inconsistent quality on the association between e‐service quality and customer relationships in a university context.

This study conducted a web survey and 318 respondents who have both physical and e‐service experiences were collected. The inconsistent quality across channels was divided into three groups by k‐means clustering approach. Next, the hypothesized associations were analyzed using regression analysis based on three groups.

The results show that inconsistent quality has different impacts on the association between e‐service quality and customer relationships across the three groups. Especially in the positive disconfirmation group, the investment in e‐services will be in vain because certain e‐service sub‐constructs lose their impact on customer relationships.

The findings of this study provide implications for improving customer relationships under different cross‐channel quality inconsistency conditions for managers.

This study extends the concept of expectancy disconfirmation theory to the multichannel service context and pioneers the exploration of the moderating effect of cross‐channel quality inconsistency in customer relationships, contributing to the understanding of the literature about the impacts of inconsistent quality on customer relationships.

In order to solve the current imbalance of academic resources within the discipline, this article builds a three-dimensional talent evaluation model based on the topic–author–citation based on the z index and proposes the ZAS index to evaluate scholars on different research topics within the discipline.

Based on the sample data of the CSSCI journals in the discipline of physical education in the past five years, the keywords were classified into 13 categories of research topics including female sports. The ZAS index of scholars on topic of female sports and so on was calculated, and quantitative indexes such as h index p index and z index were calculated. Comparative analysis of the evaluation effect was performed.

It is found that compared with the h index and p index, the z index achieves a better balance between the quantity, quality and citation distribution of scholars' results and effectively recognizes that the citation quality is higher and the number of citations of each paper is more balanced. In addition, compared to the z index, this article is based on a ZAS index model with an improved three-dimensional topic–author–citation relationship in research fields such as female sports.

It can identify some outstanding scholars who are engaged in small-scale or emerging topic research such as female sports and are excellent in different research areas. Talents create an objective and fair evaluation environment. At the same time, the ranking ability of ZAS indicators in the evaluation of talents is the strongest, and it is expected to be used in practical evaluations.