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The five-factor model (FFM), a popular personality typology that identifies five key personality traits, has been used to predict use intention in various e-commerce applications, but the role of FFM in triggering certain evaluations of the various quality dimensions of e-commerce websites has not been examined, revealing a gap, i.e. the authors do not know how the five personality traits impact evaluations of the quality dimensions of e-commerce websites. The 3Q model—which comprises system quality (SysQ), information quality (IQ), and service quality (SQ), spanning 13 quality dimensions—is helpful for evaluating website quality, but the model neglects user characteristics and their impacts on quality evaluation, posing another gap, i.e. the authors do not know how user characteristics impact the user's evaluation of quality dimensions. Thus, the authors used the FFM to extend the 3Q model to explain how user personality predicts the evaluation of websites in the 13 quality dimensions.

The authors used an online survey to collect responses from 392 online shoppers. Structural equation modeling was used to test the hypotheses.

The authors found that openness in a shopper predicts their favorable evaluation of a website in the quality dimensions of format and flexibility; conscientiousness predicts favorable evaluation in terms of completeness, accuracy, currency, timeliness, and service reliability; neuroticism predicts unfavorable evaluation in terms of reliability, accessibility, and assurance; and extraversion predicts favorable evaluation in terms of responsiveness; while agreeableness did not predict empathy.

In sum, the authors successfully used the FFM to theoretically extend the 3Q model, which clarifies the usefulness and pathways of personality in formulating strategies for e-commerce success.

Online games are prevalent internet applications and are known for satisfying the various needs of users. Nonetheless, little is known about whether online games could be a resort for users encountering workplace frustration. Explaining how workplace frustration and users' need satisfaction affect loyalty of online gamers, this study aims to formulate hypotheses and develop a framework based on the self-determination theory (SDT).

The authors use an online survey to collect 848 responses and use structural equation modelling to test the hypotheses.

The authors find that workplace frustration, autonomy need satisfaction and competence need satisfaction are positively related to online gamer loyalty. Moreover, workplace frustration enhances the link between competence need satisfaction and online gamer loyalty.

The authors are the first to use SDT to identify the three antecedents and the moderator of online gamer loyalty. Our findings offer a key message that game providers could design effective means to retain their gamers by understanding their gamers' workplace frustration and informing them that playing games could alleviate the associated negative feelings.

Since its development by Tinbergen (1962), the gravity model of international trade has widely been applied to analyse the effect of various factors on trade relationships between countries. Past studies on trade gravity vary not only in the mix of model variables but also in how they have come into the analysis. This study reviews existing literature on bilateral trade with an aim to identify influential predictors such as changes of trade policy and national development strategy and highlight important yet understudied factors such as transport and logistics infrastructure, and sustainable development. To demonstrate the needs to examine these critical factors across industry sectors, the study presents the case of textiles and clothing (T&C) production and trade between China and its trading partners as an illustration. Through the literature review, it shows how the gravity model can be applied to address current issues in international trade arena such as the potential trade war between the US and China, China’s Belt and Road Initiative (BRI), and other important factors shaping global T&C trade. This study offers future research directions for analysis of global trade in the T&C industry and contributes to the wider literature of international business and trade.

Relational cohesion theory posits that relational cohesion helps build relationships among communication partners, implying that users would expect a growth in relations or making more friends in the future. However, little is known about expectancy of a better future state of relations, i.e. expectancy of relational growth, and its impact on users' continued engagement in online communication. Our study extends relational cohesion theory to explain how expectancy of relational growth impacts online gamer loyalty.

We test the framework using structural equation modeling to analyze a large sample of 1,429 responses from online gamers.

We find that expectancy of relational growth is positively related to norm compliance and relational cohesion, which are further related to network convergence and interdependence, fostering online gamer loyalty.

The findings contribute to relational cohesion theory by identifying novel sources of relational cohesion, i.e. expectancy of relational growth and norm compliance. Hence, game providers should create gamers' expectancy of growth in online relationships. Such expectancy could motivate continued gaming communication, even when gamers are not satisfied with the current state of online relationships. Moreover, we propose the new concept of expectancy of relational growth, which should have a strong impact on online communication in various areas.

The purpose of this study is to propose an integrated model based on expectation–confirmation model (ECM), flow theory and human–organization–technology fit framework to examine whether human, organizational and technology factors as antecedents to medical professionals' beliefs can affect their continuance intention of the cloud-based e-learning system.

Sample data for this study were collected from medical professionals at five hospitals in Taiwan. A total of 500 questionnaires were distributed, and 368 (73.6%) useable questionnaires were analyzed using structural equation modeling in this study.

Synthetically speaking, human, organizational and technology factors, as antecedents to medical professionals' continuance intention of the cloud-based e-learning system have been examined, and the results strongly support the research model with all hypothesized links being significant.

Particularly, it is worth mentioning that the application of capturing both ECM and flow theory for completely explaining three types of factors (i.e. human, organizational and technology factors) as external variables to medical professionals' cloud-based e-learning continuance intention is well documented, that is, information systems (IS) and nonIS determinants are simultaneously evaluated, and extrinsic and intrinsic motivators are both taken into consideration in this study's theoretical development of medical professionals' cloud-based e-learning continuance intention to acquire a more comprehensive and robust analysis.

No studies in the extant literature have explored the role of media richness, i.e., the ability of media to enhance understanding among communication partners in a timely manner, in determining customer loyalty to mobile instant messaging (MIM). Grounded in media richness theory, the purpose of this paper is to examine how media richness influences customer perceived values, consequently contributing to customer loyalty to MIM.

Collecting data by an online survey, the authors apply partial least square procedures for hypothesis testing.

The authors obtain the following findings: multiple cues are positively related to functional value; immediate feedback is positively related to social value; personal focus is positively related to self-expressive value; language variety is positively related to all the above values that lead to user loyalty; and language variety has the strongest effect on user loyalty to MIM.

A first attempt to examine the impact of media richness on user loyalty to MIM, this study provides insights for MIM service providers to make decisions to build loyal user bases.

Employee learning is imperative in the dynamic service environment; yet, much is still unknown about its strategic importance. The purpose of this paper is to extend the understanding of learning by focusing on the strategic importance of learning goal orientation (LGO) in customer-contact employees in service industries characterized with high customer contact.

This paper adopts the multi-method approach by conducting two studies in the high-contact service sector. Study 1 is a large-scale, multiple-respondent survey that investigates the associations between LGO and its antecedents and performance outcomes. To supplement study 1, study 2 embraces case studies that identify the managerial supportive practices and outcomes of customer-contact employees’ learning behaviors.

The results of study 1 demonstrate that employees’ affective organizational commitment does not yield higher-quality services unless the service employees are learning oriented. The findings of study 1 also indicate that management commitment to service quality has positive effects on both LGO and affective organizational commitment. In study 2, the results reveal the practical methods that managers can employ to effectively promote such activities.

This research offers novel insights into research on learning by showing the strategic importance of LGO to enhancing high-contact service firms’ performance and the practical means of fostering LGO in customer-contact employees.

Flow, or total concentration with intrinsic enjoyment, has been recognized as being able to enhance online gamer loyalty. However, some gamers who experience flow do not exhibit strong loyalty, posing the vital research question asking for whom flow would not enhance loyalty. Limited knowledge on this issue may lead game providers to assume that flow is influential in strengthening loyalty among all gamers, thus leading to suboptimal resource allocation and reduced effectiveness in retaining gamers. The purpose of the paper is to examine how gaming experience and gaming intensity moderate the impact of flow on online gamer loyalty.

In the paper, the hypotheses were tested using responses from 273 gamers.

The findings show that flow and gaming experience positively impact gamer loyalty. Gaming experience reduces the positive relationship between flow and gamer loyalty. However, gaming intensity does not reduce.

Game providers should focus on creating a flow experience to strengthen the loyalty of gamers with short-gaming experience. However, game providers should devise other means to strengthen loyalty among gamers with long-gaming experience.

The study challenged the assumption of flow theory, i.e. that flow always determines loyalty. Instead, the paper offers a moderator – gaming experience – which sets a boundary condition for this theory. Flow works well only among gamers with relatively short-gaming experience. The study also extended the literature on gaming experience by uniquely indicating its attenuating effect on the relation between flow and loyalty.

The purpose of this study is to propose a research model based on expectation-confirmation model (ECM) to examine whether interactivity and course quality factors (i.e. course content quality, course design quality) as antecedents to student beliefs can influence students' satisfaction and continuance intention of the cloud-based electronic learning (e-learning) system within the educational institution.

Sample data were collected from students enrolled in a comprehensive university in Taiwan. A total of 600 questionnaires were distributed in the campus, and 515 (85.8%) useable questionnaires were analyzed using structural equation modeling.

Findings showed that students' perceptions of interactivity, course content quality and course design quality positively significantly contributed to their perceived usefulness, confirmation and satisfaction with the cloud-based e-learning system, which in turn directly or indirectly led to their continuance intention of the system. Thus, the results strongly supported the research model based on ECM via positioning key constructs as the drivers with all hypothesized links being significant.

This study identifies three factors (i.e. interactivity, course content quality, course design quality) as drivers from the learner perspective within the cloud-based e-learning environment, and links these factors to students' satisfaction and continuance intention of the cloud-based e-learning system based on ECM. It is particularly worth mentioning that the three drivers can serve as precursors for recognizing the determinants that are crucial to understand students' satisfaction and continuance intention of the cloud-based e-learning system. Hence, this study may provide new insights in nourishing the cloud-based e-learning continuance literature in the future.