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Article
Publication date: 31 May 2013

Chun‐Chia Lee, Shang Hwa Hsu and Jen‐Wei Chang

Sociability is considered to be important to the success of educational MMORPGs. The purpose of this study was to access the relative weights of these sociability factors…

Abstract

Purpose

Sociability is considered to be important to the success of educational MMORPGs. The purpose of this study was to access the relative weights of these sociability factors which the authors garnered from the literature on educational MMORPGs.

Design/methodology/approach

The authors used fuzzy‐AHP approach to access the relative weights of these sociability factors they garnered from the literature on educational MMORPGs. To do this, a questionnaire using a pair‐wise comparison data input format was administered to 242 school teachers to gather assessments for the factors.

Findings

The authors found five most important factors affecting sociability – cooperation, team‐based reward, discussion of strategy, reputation, and social navigation.

Originality/value

Although prior studies have identified various factors that facilitate sociability in educational MMORPGs, the relative importance of these factors has not been determined. The results can not only be used to help educational MMORPG developers focus on the most important sociability factors and propose specific guidelines for designing educational MMORPGs, but can also identify the best design strategy for promoting sociability of educational MMORPGs.

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Article
Publication date: 18 September 2020

Jiyoung Kim, Kiseol Yang, Xin Zeng and Hwa-Ping Cheng

The purpose of this study is to investigate (1) how female blog users' perceived benefits (i.e. perceived usefulness, perceived enjoyment, community identification and…

Abstract

Purpose

The purpose of this study is to investigate (1) how female blog users' perceived benefits (i.e. perceived usefulness, perceived enjoyment, community identification and perceived norm of reciprocity) influence their perceived social capital on fashion blogs, (2) the influence of structural social capital and cognitive social capital on users' relational social capital and (3) the influence of relational social capital on blog loyalty.

Design/methodology/approach

Structural equation modeling was performed using 530 useable data collected through an online survey.

Findings

The result indicated that perceived usefulness and the norm of reciprocity led to the development of cognitive social capital, while community identification and the norm of reciprocity led to the development of structural social capital. Cognitive and structural social capital both led to the development relational social capital, which in turn influenced blog loyalty.

Originality/value

This study provides insights for a fashion brand marketing strategy that uses fashion blogs to target relevant consumers. It helps firms to understand the factors that lead people to embed their resources in a blog and to learn how the different perceived benefits impact blog users' contributions to the community.

Details

Journal of Fashion Marketing and Management: An International Journal, vol. 25 no. 2
Type: Research Article
ISSN: 1361-2026

Keywords

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Article
Publication date: 2 October 2017

Jaime Ortiz, Wen-Hai Chih and Hsiu-Chen Teng

The purpose of this paper is to explore the relationships among cognitive-based trust, affect-based trust, sense of belonging, self-image congruity, perceived…

Abstract

Purpose

The purpose of this paper is to explore the relationships among cognitive-based trust, affect-based trust, sense of belonging, self-image congruity, perceived community-brand similarity, and information intention by applying the uses and gratification (U&G) theory and the dual mediating hypothesis in the context of Taiwanese social networking brand sites.

Design/methodology/approach

This study uses specific metrics to measure construct items. The respondents have used or currently use the Facebook Apple fan page for more than three months. This study conducts the online survey of mySurvey through the website and provides respondents with convenience store coupon rewards to increase the response rate. This study collects 500 samples with 381 valid samples and uses a structural equation modeling to test the research hypotheses.

Findings

The effects of cognitive-based trust on psychological factors are higher than the effects of affect-based trust on psychological factors. In addition, cognitive-based trust has the largest effect on perceived community-brand similarity as well as on self-image congruity. Hence, cognitive-based trust is far a more important factor than affect-based trust for the effects on psychological factors. Self-image congruity has significant and positive effects on the intention to give, obtain, and pass information. Self-image congruity has the largest effect on the intention to pass information as well as on the intention to obtain information, but sense of belonging has the largest effect on the intention to give information. The effects of perceived community-brand similarity on the intention to give information and the intention to obtain information are significant yet mild.

Practical implications

SNS members are eager to participate in e-word-of-mouth (e-WOM) activities via affection and social interaction, care for each other, and a feeling of concern. SNS managers should focus on members’ interaction content and processes to foster long-term relationships and create value propositions. Managers should use innovative online platforms to maintain communication and interaction in order to: provide cognitive trust among members; acquire members’ trust; retain members; and enhance members’ connectivity. SNS managers must increase members’ psychological connection, utilize cognitive-/affect-based trust, and attract brand devotion for common interests.

Social implications

In terms of the SNS members’ interaction and participation in interpersonal relationships, psychological perspectives can generate long-term reliance and sense of belonging. The willingness to exchange information and the involvement of continuous participation can affect the e-WOM behavior of giving and passing information. Brand fan page members are more willing to engage in e-WOM intentions when they have a higher self-image congruity and sense of belonging.

Originality/value

This study adopts the tricomponent attitude model to examine the relationship among cognition, affection, and behavioral intentions of community members between individuals and groups.

Details

Internet Research, vol. 27 no. 5
Type: Research Article
ISSN: 1066-2243

Keywords

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Article
Publication date: 7 August 2018

Li-Chun Hsu, Kai-Yu Wang and Wen-Hai Chih

Understanding how to develop users’ word of mouth to promote a virtual community (VC) is an important issue in VC management. The purpose of this paper is to investigate…

Abstract

Purpose

Understanding how to develop users’ word of mouth to promote a virtual community (VC) is an important issue in VC management. The purpose of this paper is to investigate the factors that lead to VC participation and promotion from a social influence perspective.

Design/methodology/approach

This research recruited 368 VC (i.e., Fashion Guide) members in Taiwan and used structural equation model to test research hypotheses.

Findings

The results showed that both shared vision and language positively influenced norm of reciprocity and social identity, respectively. Norm of reciprocity and social identity influenced VC participation intentions, and subsequently resulted in VC promotion intentions.

Originality/value

Prior studies neglect investigating the relationships between the three social influence processes (internalization, compliance and identification). This study contributes to the literature by proposing that internalization affects VC participation and promotion via compliance and identification.

Details

Industrial Management & Data Systems, vol. 118 no. 6
Type: Research Article
ISSN: 0263-5577

Keywords

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Article
Publication date: 28 January 2014

I-Cheng Chang, Chuang-Chun Liu and Kuanchin Chen

The focus in this study is a model that predicts continuance intention of online multi-player games. In this integrated model, the social cognitive theory (SCT) lays out…

Abstract

Purpose

The focus in this study is a model that predicts continuance intention of online multi-player games. In this integrated model, the social cognitive theory (SCT) lays out the foundation of two types of pre-use (pre-play) expectations, the flow theory captures the affective feeling with the game as a moderator for the effect from the two pre-use expectations, and subjective norm together with its associated antecedents cover a wide spectrum of social influences.

Design/methodology/approach

A questionnaire was designed and pre-tested before distributing to target respondents. The reliability and validity of the instrument both met the commonly accepted guidelines. The integrated model was assessed first by examining its measurement model and then the structural model.

Findings

The integration of cognitive, affective and social influence in this model explains a larger amount of variance compared to the competing models and existing studies.

Originality/value

Unlike a popular trend that studies predictors of online games from either cognitive or affect angle, the work looks at both together to study how their joint effect is related to continuance intention. This marks an important improvement as cognitive expectations derived from SCT captures the pre-use experience that may be influenced or swayed by sources including those that are inflated or incorrect. By studying flow as a moderator in conjunction with other sources of influence, the authors are able to further the understanding of how the pre-use expectations may be shaped by one's own experience.

Details

Internet Research, vol. 24 no. 1
Type: Research Article
ISSN: 1066-2243

Keywords

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Article
Publication date: 5 March 2018

Mahesh Chand, Neha Bhatia and Rajesh Kumar Singh

Industries start focusing on the green concept in supply chain management (SCM) to reduce waste and emission, preserve the quality of natural resources and decrease the…

Abstract

Purpose

Industries start focusing on the green concept in supply chain management (SCM) to reduce waste and emission, preserve the quality of natural resources and decrease the consumption of hazardous/harmful materials for better product life cycle, which not only improve environmental performance but also economic performance. But, for industries, it is still very difficult to understand and analyze the effect of individual activities and their corresponding contribution. The purpose of this paper is to identify and analyze selected issues in green supply chain management for the implementation of the green concept in industries.

Design/methodology/approach

To fulfill the objectives of this paper, analytical network process-multi-objective optimization using rational analysis (ANP-MOORA) techniques are used. In the proposed methodologies, different issues, sub-issues, and alternatives are identified for the selection of the best supply chain using ANP which is being followed by the MOORA method.

Findings

Findings of this paper are highly valuable for the Indian manufacturing industries for the management of green supply chain (GSC) issues.

Research limitations/implications

In this research, only selected issues are identified and analyzed for the management of GSCs. Further, it is believed that an ANP-based framework helps to take up the explicit account of multi-criteria decision making (MCDM) approaches in decision making and for improving and selecting the best supply chain. Other issues in GSC can be analyzed and further extended by other MCDM approaches.

Originality/value

This paper identified different type of supply chains and their issues. The systematic way of analyzing the green concept in supply chain helps the researchers and managers to implement green management practices for improving economic and environmental performance.

Details

Benchmarking: An International Journal, vol. 25 no. 2
Type: Research Article
ISSN: 1463-5771

Keywords

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Article
Publication date: 15 March 2021

Yung-Ting Chuang and Yi-Hsi Chen

The purpose of this paper is to apply social network analysis (SNA) to study faculty research productivity, to identify key leaders, to study publication keywords and…

Abstract

Purpose

The purpose of this paper is to apply social network analysis (SNA) to study faculty research productivity, to identify key leaders, to study publication keywords and research areas and to visualize international collaboration patterns and analyze collaboration research fields from all Management Information System (MIS) departments in Taiwan from 1982 to 2015.

Design/methodology/approach

The authors first retrieved results encompassing about 1,766 MIS professors and their publication records between 1982 and 2015 from the Ministry of Science and Technology of Taiwan (MOST) website. Next, the authors merged these publication records with the records obtained from the Web of Science, Google Scholar, IEEE Xplore, ScienceDirect, Airiti Library and Springer Link databases. The authors further applied six network centrality equations, leadership index, exponential weighted moving average (EWMA), contribution value and k-means clustering algorithms to analyze the collaboration patterns, research productivity and publication patterns. Finally, the authors applied D3.js to visualize the faculty members' international collaborations from all MIS departments in Taiwan.

Findings

The authors have first identified important scholars or leaders in the network. The authors also see that most MIS scholars in Taiwan tend to publish their papers in the journals such as Decision Support Systems and Information and Management. The authors have further figured out the significant scholars who have actively collaborated with academics in other countries. Furthermore, the authors have recognized the universities that have frequent collaboration with other international universities. The United States, China, Canada and the United Kingdom are the countries that have the highest numbers of collaborations with Taiwanese academics. Lastly, the keywords model, system and algorithm were the most common terms used in recent years.

Originality/value

This study applied SNA to visualize international research collaboration patterns and has revealed some salient characteristics of international cooperation trends and patterns, leadership networks and influences and research productivity for faculty in Information Management departments in Taiwan from 1982 to 2015. In addition, the authors have discovered the most common keywords used in recent years.

Details

Library Hi Tech, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-8831

Keywords

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Article
Publication date: 6 August 2020

Wynne Chin, Jun-Hwa Cheah, Yide Liu, Hiram Ting, Xin-Jean Lim and Tat Huei Cham

Partial least squares structural equation modeling (PLS-SEM) has become popular in the information systems (IS) field for modeling structural relationships between latent…

Abstract

Purpose

Partial least squares structural equation modeling (PLS-SEM) has become popular in the information systems (IS) field for modeling structural relationships between latent variables as measured by manifest variables. However, while researchers using PLS-SEM routinely stress the causal-predictive nature of their analyses, the model evaluation assessment relies exclusively on criteria designed to assess the path model's explanatory power. To take full advantage of the purpose of causal prediction in PLS-SEM, it is imperative for researchers to comprehend the efficacy of various quality criteria, such as traditional PLS-SEM criteria, model fit, PLSpredict, cross-validated predictive ability test (CVPAT) and model selection criteria.

Design/methodology/approach

A systematic review was conducted to understand empirical studies employing the use of the causal prediction criteria available for PLS-SEM in the database of Industrial Management and Data Systems (IMDS) and Management Information Systems Quarterly (MISQ). Furthermore, this study discusses the details of each of the procedures for the causal prediction criteria available for PLS-SEM, as well as how these criteria should be interpreted. While the focus of the paper is on demystifying the role of causal prediction modeling in PLS-SEM, the overarching aim is to compare the performance of different quality criteria and to select the appropriate causal-predictive model from a cohort of competing models in the IS field.

Findings

The study found that the traditional PLS-SEM criteria (goodness of fit (GoF) by Tenenhaus, R2 and Q2) and model fit have difficulty determining the appropriate causal-predictive model. In contrast, PLSpredict, CVPAT and model selection criteria (i.e. Bayesian information criterion (BIC), BIC weight, Geweke–Meese criterion (GM), GM weight, HQ and HQC) were found to outperform the traditional criteria in determining the appropriate causal-predictive model, because these criteria provided both in-sample and out-of-sample predictions in PLS-SEM.

Originality/value

This research substantiates the use of the PLSpredict, CVPAT and the model selection criteria (i.e. BIC, BIC weight, GM, GM weight, HQ and HQC). It provides IS researchers and practitioners with the knowledge they need to properly assess, report on and interpret PLS-SEM results when the goal is only causal prediction, thereby contributing to safeguarding the goal of using PLS-SEM in IS studies.

Details

Industrial Management & Data Systems, vol. 120 no. 12
Type: Research Article
ISSN: 0263-5577

Keywords

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Article
Publication date: 14 September 2020

Man Lai Cheung, Hiram Ting, Jun-Hwa Cheah and Mohamad-Noor Salehhuddin Sharipudin

Using the stimulus-organism-response model as the theoretical basis, the purpose of this study is to examine the impact of a social media-based destination brand community…

Abstract

Purpose

Using the stimulus-organism-response model as the theoretical basis, the purpose of this study is to examine the impact of a social media-based destination brand community (SMDBC) on tourists’ emotions, and the subsequent effect on the intention to co-create value and visit.

Design/methodology/approach

The theoretical framework was tested using survey data from 551 Chinese social media users who were followers of Japanese social media pages. Partial least squares–structural equation modelling was adopted to perform the latent variable analysis.

Findings

The findings reveal that SMDBC plays a considerable role in shaping tourists’ emotions, including joy, love and positive surprise, which, in turn, have a significant impact on consumers’ intention to co-create value and visit. Contrary to previous studies, the effect of joy on tourists’ intention to co-create and visit is found to be insignificant.

Research limitations/implications

The present study elucidates the importance and relevance of SMDBC in evoking tourists’ positive emotions, and subsequently their intention to co-create value and visit. Future research is recommended to compare and contrast SMDBC with other marketing and branding activities to provide greater insights into the phenomenon in a dynamic environment.

Practical implications

This study enables academics and business practitioners to better comprehend the effectiveness of SMDBC in driving tourists’ favourable assessment and behavioural intentions to improve resource allocation. In particular, destination marketers are recommended to optimise SMDBC and encourage discussion on SMDBC among users.

Originality/value

As literature in relation to the importance of SMDBC in evoking tourists’ emotions incorporating its link with tourists’ intention to co-create value and visit is relatively scarce, this study contributes to the branding and destination tourism research by empirically articulating the relevance of SMDBC in stimulating tourists’ emotions and subsequently value co-creation and visit intention.

Details

Journal of Product & Brand Management, vol. 30 no. 1
Type: Research Article
ISSN: 1061-0421

Keywords

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Article
Publication date: 7 August 2018

Wen-Jye Shyr, Ya-Ling Pan, Chin-Chung Huang and Shu-Hsuan Chang

The purpose of this paper is to focus on the development of competences for use by professional teppanyaki chefs in food and beverage education in Taiwan.

Abstract

Purpose

The purpose of this paper is to focus on the development of competences for use by professional teppanyaki chefs in food and beverage education in Taiwan.

Design/methodology/approach

The research methodology includes the Delphi technique and incorporates interviews with three types of experts: instructors from culinary departments at a university, seasoned teppanyaki professionals and owners of teppanyaki establishments. An analysis of the responses provided by these industry experts led to identification of four dimensions of competences needed by teppanyaki chefs: knowledge, technique, affect and attitude. The K-S test involves using a z-test on ordinal variables for single samples to determine whether the sample distribution diverges from the frequency distribution. The z-score is greater than 1.96 which implies significance and consistency.

Findings

This study analyzed the responses provided by the interviewed experts to identify and extract competences for teppanyaki chefs. The extracted competences comprise four dimensions (knowledge, technique, affect and attitude), 16 work-related tasks and 74 skills items.

Originality/value

This study includes 16 work-related tasks, and 74 competences. The study recommends the establishment of an organization for competence certification to act as the authority for teppanyaki skill certification. Such an organization could utilize the results from this study as a reference, as could culinary departments at vocational institutes as well as other teppanyaki training courses offered in Taiwan.

Details

British Food Journal, vol. 120 no. 8
Type: Research Article
ISSN: 0007-070X

Keywords

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