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The purpose of this paper is to develop a theoretical model to investigate the determinants of continuance intention toward social networking sites (SNSs) by integrating the perspectives of the uses and gratifications theory, perceived interactivity and network externalities.

Data collected from 255 Facebook users in Taiwan were used to test the proposed model. The partial least squares method was used to test the measurement model and the structural model.

The findings reveal that emotional gratifications and social gratifications are the key predictors of users’ continuance intention toward SNSs. Further, the results indicate that perceived network size, perceived complementarity, machine interactivity and person interactivity influence information gratifications significantly, while perceived complementarity, machine interactivity and person interactivity exert positive effects on emotional gratifications. Finally, the results show that machine interactivity and person interactivity impact social gratifications positively, whereas perceived network size and perceived complementarity affect machine interactivity and person interactivity significantly.

This study is one of the earliest research inquiries to examine the effects of various types of gratifications on continuance intention. It is also one of the earliest studies to identify the antecedents of gratifications from social factors and technological attributes simultaneously.

This study aims to investigate the factors driving viewers' purchase intention in live-streaming by incorporating stimuli–organism–response (S–O–R) framework and extroversion–introversion personality perspectives.

Data collected from 228 users on live-streaming platforms in Taiwan were used to test the proposed model. The partial least squares method was used to test the measurement and the structural models.

Product attractiveness and trust in streamer significantly impacts purchase intention. The results also reveal that interactivity, breadth of information and uniqueness of information significantly impact product attractiveness, whereas social presence, breadth of information and uniqueness of information positively affect trust in streamer. Furthermore, streamer attractiveness has a greater effect on the purchase intention of extroverts.

This study investigates how the features of media, message and streamer impact purchase intention through their reactions to live-streaming. This research is also one of the earliest studies to examine the moderating role of extroversion–introversion personality on purchase intention and its antecedents in live-streaming commerce.

From the commitment–trust theory angle, this study aims to understand why members of social network sites (SNSs) are willing to build a relationship commitment with hospitality SNSs, engage in online word-of-mouth (WOM) and show a willingness to repurchase. This paper proposes a model to express the relationship commitment and gender as a moderator in the relationship.

The interviews of a formal survey were selected by a purposive sampling method, and an online questionnaire survey was conducted in Taiwan. This study used the partial least square method to conduct structural equation modeling analysis.

The findings suggest that trust and perceived playfulness of the hospitality community have positive influences on relationship commitment, and also that the relationship commitment has a positive influence on online WOM and willingness to repurchase. This analysis provides strong support for the view that gender exerts a significant moderating role on our model relationships.

SNSs aspiring to stand out in the highly competitive internet environment must cultivate consumers’ trust and relationship commitment, and develop strategies to retain community members, as well as strengthen the safeguard personal information and the playfulness of activities. SNSs that launch relationship marketing activities should encourage community members to spread positive WOM through various activities.

This study combined the commitment–trust theory and technology acceptance model. It aimed to develop a theory-based model of relationship commitment in the hospitality SNSs’ context. Both trust and perceived playfulness are positively related to commitment; they are essential and important elements of successful hospitality SNSs. The gender difference plays a vital role in determining individuals’ behavior intention in the hospitality SNSs, as females and males have different decision-making processes.

Assessing image quality is a difficult task. Different demands need distinct criteria, so it is not realistic to decide which contrast enhancement method is better only through one criterion. The main purpose is to propose an efficient scheme to effectively evaluate image quality. Furthermore, the idea can be applied in other fields.

To objectively and quantitatively assess image quality, the authors integrate four criteria into one composite criterion and use it to evaluate seven existing contrast enhancement methods. The mechanism of integration is through a newly proposed way of computing a grey relational grade (GRGd), called the consistent grey relational grade (CGRGd).

In this paper, the authors propose the CGRGd, which is more efficient and consistent than other existing GRGds. When applied to image quality evaluation, the proposed CGRGd can effectively choose the best method than others. The results also indicate that the proposed CGRGd combined with appropriate criteria can be widely used in the field of multiple criteria.

The proposed CGRGd is a new approach to the problem of multi-criteria evaluation, and its application to the evaluation of image quality is a novel idea. For readers interested in the field of multi-criteria decision-making, the CGRGd provides an efficient and effective alternative.

This study extends the viewpoint of “fit as holistic configurations” to explore how to use knowledge management (KM) processes and knowledge management system (KMS) capabilities appropriately according to the tasks characteristics subunits perform in an aerospace manufacturer. In this regard, the aim is to develop four theoretical ideal profiles of KM processes (socialization, externalization, combination, and internalization) and KMS capabilities (codification capability and network capability) for organizational subunits based on their task characteristics: focused, process‐oriented tasks; focused, content‐oriented tasks; broad, process‐oriented tasks; and focused, content‐oriented tasks.

The empirical study was conducted at a knowledge intensive and engineering‐oriented aerospace company. Twelve functional subunits performing a variety of tasks were selected as the samples. The study employed qualitative and quantitative methods to understand the subunits' task attributes. The authors collected data from 12 subunits, and a total of 212 valid questionnaires were analyzed. PLS‐Graph was used to assess the relationships of the research model.

The empirical support for the argument that the fit among KM processes, KMS capabilities and task characteristics can improve KM performance. Results reveal that fit significantly affects knowledge satisfaction, knowledge quality and creativity for subunits performing focused, process‐oriented and broad, process‐oriented tasks.

The findings reflect the fact that individuals within organizational subunits should use the four KM processes of appropriate levels to generate new knowledge to accomplish their tasks.

The study uses a multidimensional and multi‐item approach to test the effect of factors on KM performance, and is the first to identify ideal profiles of KM process and KMS capability for different organizational subunits.

Drawing upon the literature of Uses and Gratifications (U & G) Theory, the purpose of this paper is to propose that entertainment, information seeking, socialization, and self-presentation are the motivational factors affecting continuance intention of social media. This paper further investigates the moderating effects of cultural difference and socio-economic status on the link between these motivational factors and continuance intention.

Data collected from the 493 active users of Facebook in five countries (Australia, Austria, Japan, Taiwan, and the USA) were used to test the proposed model. Partial least squares method was used to assess the relationships in the model and the subgroup analysis method was employed as well to examine the moderating roles of cultural difference and socio-economic status.

Information seeking exerts stronger effect on continuance intention for users from individualistic cultures, while socialization, and self-presentation has stronger influence on continuance intention for users from collective cultures. Entertainment has stronger influence on continuance for high educated users, whereas self-presentation has stronger influence on continuance intention for users with lower level of education. Finally, the effect of entertainment, information seeking on continuance intention is stronger for users with higher level of income, while self-presentation has stronger influence on continuance intention for users with lower level of income.

This study is one of first studies to extend the research context of U & G Theory from adoption of social media to continuance intention of social media. This study is also the first to investigate the moderating roles of cultural difference and socio-economic statuses in social media usage behavior simultaneously.

This study aims to extract determinants of customers' choice of dining-related services (CDS) to understand their attitudes and habits for dining-related services. Moreover, it classifies restaurant customers into several clusters based on their CDS factors and further analyzes the differences in the preferences and habits for dining-related services among various clusters.

This study extracts the CDS factors using principal component analysis and identifies construct validity of the CDS factors through the results of confirmatory factor analysis. Then, it divides the restaurant customers in Taipei City into different clusters through cluster analysis to explore the habits and preferences for dining-related services in each cluster.

The study results show that the extracted six CDS factors, including service commitment, dietary preferences, design styles, additional value, delicate information collection, and dining environments. Dietary preferences, service commitment and additional value factor are the most important CDS factors for restaurant customers in Taipei City. This study divides 1,029 restaurant customers in Taipei City into three clusters based on the CDS factors through cluster analysis. The differences in the preferences and habits for dining services among three clusters have been discussed in the context in detail. Finally, this study develops eight service strategies and determines the order of execution of the eight service strategies for each cluster of customers.

The findings will help restaurant operators segment the market, target market customers, carry out service positioning and develop marketing strategies to respond to the highly competitive restaurant market and achieve sustainable restaurant operations.

This study aims to develop a comprehensive LOHAS (lifestyles of health and sustainability) restaurant service quality scale by using a rigorous qualitative and quantitative research process to effectively measure the service quality of LOHAS restaurants. Moreover, this study aims to further identify the Kano quality characteristics and strategic meanings of service attributes in LOHAS restaurants.

This study designed the preliminary items of the service quality scale for LOHAS restaurants (LORSERV scale) based on relevant literatures and expert interview procedures. This study identified the goodness of fit of the questionnaire content, construct validity and validity of the LORSERV scale using exploratory factor analysis and confirmatory factor analysis. The moderated regression was conducted to identify the Kano quality characteristics and strategic meanings of each service attribute in LOHAS restaurants.

The results indicated that the LORSERV scale included seven dimensions (internal sense of happiness, transitiveness, environment, healthy catering, service commitment, green practicability and thoughtfulness), for a total of 33 items. According to the results of the Kano model, the seven service attributes were categorized into the attractive quality. A total of 25 service attributes were categorized into the one-dimensional quality, and one service attribute was categorized into the must-be quality.

The contribution of this study is that the scale could facilitate operators of LOHAS restaurants to effectively understand customer perceptions of service quality and serve as a reference to upgrade and improve service quality. The identification of Kano quality characteristics for each service attribute is conducive for LOHAS restaurants to understand the strategic meanings of each service attribute and can serve as a reference to make distinctive service strategies to reach sustainable operations.

As satisfaction is one of the most important conditions for loyalty, this study aims to investigate the main factors affecting online satisfaction for buying clothes from the internet. In this research, the authors followed two main objectives: (1) to identify factors influencing online satisfaction and (2) to determine the importance of the main determinants that explain online satisfaction in the retailing clothing sector.

The research combines qualitative and quantitative research methods. The authors used the focus group technique and a survey based on a questionnaire. For the first exploratory phase of the research, we conducted four focus groups with 21 women, 18–39 years old, who have at least two years experiences as online buyers and who made at least two acquisitions for clothing products in the past six months, from the same website. The purpose of this qualitative method was to understand the young women's perception about online satisfaction and to collect items to be included in the questionnaire. For the second quantitative phase of this study, the sample consisted of 241 participants. To analyse the data, two different types of inferential analysis were used: factor analysis (for identifying the factors that compose online customer satisfaction) and analysis of regression (to determine the most important factors that determine and predict online buyers' satisfaction).

The main results indicate that the significant factors determining a satisfactory experience in an e-retailing market are: good deal (savings), product expectations, customer service and website reputation.

The study is more relevant in the current pandemic context, when the consumer’s behaviour has changed and online shopping has substantially increased. The research can be used by companies that sell clothing on the internet and are interested in increasing their financial results and also their customers' satisfaction.