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1 – 10 of 28Nuan Luo, Yu Wang, Chunhua Jin, Yuan Ni and Mingli Zhang
Travel companies are increasingly hosting online communities to extend their initiatives of customer relationship management and gain additional insight into their business. While…
Abstract
Purpose
Travel companies are increasingly hosting online communities to extend their initiatives of customer relationship management and gain additional insight into their business. While the benefits to companies from hosting online communities are clear, another closely related issue has not been given comparative attention: Why do customers engage voluntarily in online travel communities? The purpose of this paper is to answer the question by developing and testing a conceptual model that exploring the influence of socialization interactions on customer engagement with the community.
Design/methodology/approach
Hypotheses were tested by applying structural equation modeling based on survey data collected from an online travel community (n=665).
Findings
The results supported the research hypotheses and demonstrated that socialization interactions (i.e. information and social exchange) in the online travel community are important catalysts for customer engagement.
Originality/value
The contribution of this study is twofold. First, from a theoretical perspective, it offers new insights into the conceptualization of customer engagement and its antecedents in the context of the online travel community. Second, from a pragmatic perspective, the conceptual model derived from this research aids practitioners in stimulating customer engagement from the perspective of socialization interactions.
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Lingyun Guo, Mingli Zhang, Kai Kang and Mu Hu
Drawing upon the social cognitive and customer engagement theories, the purpose of this paper is to investigate how individuals’ simple follow, purely aiming for information but…
Abstract
Purpose
Drawing upon the social cognitive and customer engagement theories, the purpose of this paper is to investigate how individuals’ simple follow, purely aiming for information but with little contribution, could affect fans behavior and make them engage in company social network (CSN). The study identifies the impact of personal motivators (follower participation motivation), environmental antecedents (perception of information quality) and individual behavior (fan engagement behavior and stickiness) on CSNs and examines the interaction relationship between the follower participation motivation and perception of information quality.
Design/methodology/approach
Data collected from 392 valid questionnaires from WeChat Official Account users were analyzed by structural equation modeling.
Findings
Personal factor such as follower participation motivation (intrinsic and extrinsic motivator) was found to be significant predictor of fan engagement behavior. Environmental factor (perception of information quality: perceived usefulness as well as perceived entertainment) was a significant factor in determining followers’ proclivity to engage in CNSs. One significant interaction effect was found: the effect of perceived entertainment on fan engagement behavior was manifested to a greater extent when followers’ participation aimed for intrinsic motivator. The second interaction effect, between the extrinsic motivator and perceived usefulness, was also found to be statistically significant.
Originality/value
This study enriches and extends the studies on the theories of customer engagement and social cognitive theory. It applies the above theories to CSNs and advances CSNs research by taking into consideration both personal and environmental factors (follower participation motivation and perception of information quality), and the interaction effects of the two on individual behavior.
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Yu Wang, Mingli Zhang and Yaxin Ming
The purpose of this paper is to understand the factors influencing content generation and community initiative in PESCs. Taking advantage of an emerging PESC – Xiaohongshu APP…
Abstract
Purpose
The purpose of this paper is to understand the factors influencing content generation and community initiative in PESCs. Taking advantage of an emerging PESC – Xiaohongshu APP, the study identifies three antecedent resources, including customer-owned knowledge, harmonious passion to shopping and perceived information usefulness, that affect content generating and further community initiative.
Design/methodology/approach
Based on the service-dominant (S-D) logic model and resource integration related work, the authors proposed a conceptual framework empirically tested using data of a survey and the real content-generating behavior from 347 respondents.
Findings
This paper identifies three resource antecedents of content generating behavior with significant influence. Furthermore, there is a moderating effect of perceived information usefulness among these three resources, which echoes the concept of resource integration. Content generating has a significant and positive influence on community initiative.
Originality/value
First, the paper identified customer and platform resources promoting the prosperity of PESCs, enhancing the research on antecedents of community prosperity. Second, the paper empirically quantifies the process and outcome of resource integration conceptual model. Third, it enriches the understanding of C2C interaction by investigating the value creation process on PESCs. Moreover, findings in the study provide insights for community managers to improve the operation of PESCs.
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Mingli Zhang, Mu Hu, Lingyun Guo and Wenhua Liu
Thriving brand communities are inseparable from engaged members and their word-of-mouth behavior. The purpose of this paper is to investigate which customer experience elevates…
Abstract
Purpose
Thriving brand communities are inseparable from engaged members and their word-of-mouth behavior. The purpose of this paper is to investigate which customer experience elevates customer engagement and consequent word-of-mouth intention in online brand communities, and how.
Design/methodology/approach
From the perspective of service ecosystem theory, a framework with several hypotheses was proposed. The model was verified with structural equation modeling based on questionnaire data collected from smartphone communities in China.
Findings
Empirical results indicate that customer experience promotes community engagement, and further enhances word-of-mouth intention. Furthermore, the mediating effect of community engagement in the relation between customer experience (social support and flow) and word-of-mouth intention has been verified.
Practical implications
This paper informs practitioners about the importance of experience co-creation with community members in brand and community promotion, and provides several implications to encourage more engaged customers with fostering pleasant customer experiences.
Originality/value
This study contributes to the theory of service ecosystem by empirical examination of its several propositions in a brand community context. The paper extends the present theory with the discussion of the mediation effect of community engagement in the continuing value co-creation process.
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Mingli Zhang and Nuan Luo
Brand communities have been labeled as a social aggregation of brand fans and businesses. Yet, limited research has examined customers’ perceived relationship benefits in brand…
Abstract
Purpose
Brand communities have been labeled as a social aggregation of brand fans and businesses. Yet, limited research has examined customers’ perceived relationship benefits in brand community on social media. Drawing from social capital theory and relationship benefits research, the purpose of this paper is to discover how online harmonious brand community influence customers’ perceived relationship benefits (i.e. confidence, special treatment, social and honor).
Design/methodology/approach
Hypotheses are tested by applying a structural equation modeling and the data are collected from a survey of smartphone community members (n=543) based on Sina Weibo.
Findings
The results suggest that harmonious brand communities strengthen customers’ perceived relationship benefits on social media, which are the important factors to form community satisfaction and positive word-of-mouth of community. And community engagement amplifies the influence of harmonious brand communities and has a moderating effect on the role of harmonious community relationships in confidence benefits.
Originality/value
The present study extends prior research on relationship benefits from the perspective of brand community based on social media and reveals the role of harmonious community relationships in developing community satisfaction and positive word-of-mouth.
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Biao Xie, Liyuan Wang, Hao Yang, Yanhua Wang and Mingli Zhang
In response to food scares related to high levels of agro-chemical residues sometimes found on foods, consumers in China increasingly demand for organic foods. As little is known…
Abstract
Purpose
In response to food scares related to high levels of agro-chemical residues sometimes found on foods, consumers in China increasingly demand for organic foods. As little is known on consumer perceptions and attitudes toward organic food products, the purpose of this paper is to gain insight into the purchase of organic food products by consumers and to explore the main factors driving this process.
Design/methodology/approach
Mixed (quantitative and qualitative) market survey approaches were used to provide a potentially deeper insight into consumer’s perspective and could help get a better picture of the complex factors involved.
Findings
The main trigger for purchasing organic food products is that consumers expect them to be healthier and safer. The respondents who have bought organic food products tend to have a higher education level and disposable incomes, be families with children and be older than those who have not bought them. The main barriers to increasing the market share of organic food products are the consumers’ lack of knowledge, the relatively high price premium and the lack of availability of organic food products. Informing consumers about unique characteristics of organic production methods, the decline in the prices of and increasing the availability of organic food products to its customers might be a promising strategy to develop the market for organic food products.
Originality/value
This paper provides a unique insight into buying behavior and attitudes of organic consumers in China. The results of the research could provide information for the organic food industry to expand its market and improve its profitability and reliability.
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Guang Yang and Mingli Han
Exploring the intrinsic connection between the ecological environment and the digital economy and empirically testing how the level of digital economic development affects the…
Abstract
Purpose
Exploring the intrinsic connection between the ecological environment and the digital economy and empirically testing how the level of digital economic development affects the ecological environment. Using the entropy weighting method to analyze the weights of the indicators in the digital economic development level and ecological environment system to explore the factors that have the greatest impact on the ecological environment in the indicator system of the digital economic development level so as to deepen the theoretical understanding of the relationship between the level of development of the digital economy and the ecological environment. Explore the regional heterogeneity of the level of development of the digital economy to promote the healthy development of China’s ecological environment proving the difference in the level of development of the digital economy in the east west and central regions of China and the difference in the effect on the ecological environment.
Design/methodology/approach
Based on the panel data of 30 provinces in China from 2013 to 2021 this paper fits the index system of digital economy development level with three factors. A digital infrastructure digital industry and digital application combines environmental pollution and energy consumption to construct ecological environment indicators and explored the impact of digital economy development level on the ecological environment by using the entropy weight method and the random effect model.
Findings
The findings indicate that the degree of digital economic development has a positive and significant impact on promoting the healthy development of the ecological environment, in which the digital industry has the greatest impact on the ecological environment. Meanwhile, the improvement of industrial structure also has a positive effect on the improvement of the ecological environment, whereas the level of human capital inhibits the healthy development of the ecological environment, and the governmental support fails to effectively and significantly promote the improvement of the ecological environment. Furthermore, the empirical research indicates that the level of digital economy development has obvious regional heterogeneity on the healthy development of the ecological environment: the eastern and central regions have a significant effect, while the western region has a less significant effect.
Originality/value
Although domestic and foreign scholars and experts have conducted sufficient studies on the ecological environment and the development level of digital economy respectively, there are few studies on the empirical analysis of the positive significance and regional heterogeneity of the impact of the development level of digital economy on the ecological environment, which can be supplemented and referred to in this study. At the same time, it also provides intellectual support for our country to achieve high-quality development of digital economy and efficient governance of ecological environment.
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Sifeng Liu, Yong Tao, Naiming Xie, Liangyan Tao and Mingli Hu
The purpose of this paper is to summarize the advances in grey system theory research and various application achievements in science and engineering. At the same time, it…
Abstract
Purpose
The purpose of this paper is to summarize the advances in grey system theory research and various application achievements in science and engineering. At the same time, it commemorates the 40th anniversary of the birth of grey system theory and the 10th anniversary of Grey Systems–Theory and Application.
Design/methodology/approach
Firstly, the innovations of theoretical research in grey system theory were summarized and some of the widely recognized new results are briefly described. By searching and combing the research results of grey system theory in China national knowledge infrastructure (CNKI) database and Web of Science by Institute for Scientific Information (ISI), this paper shows the rapid development trend of grey system theory in the past 40 years, and the successful applications of grey system theory in the fields of social sciences, natural sciences and engineering technologies.
Findings
More than 227 thousands literature were found by input 10 phrases such as grey system, grey number and sequence operator etc. in CNKI database. After entering the new century, the number of grey system papers included in CNKI database is increasing rapidly. Since 2008, more than 10 thousands papers have been included per year and more than 15 thousands papers have been included per year since 2014. Grey system method and model are widely used in physics, chemistry, biology and other fields of natural science, as well as transportation, electric power, machinery and other fields of engineering technology, and a large number of valuable results have been achieved.
Practical implications
It can be seen that the grey system theory plays an important role in promoting China’s scientific and technological progress, innovation and development and high-level talent training from tens of thousands of literatures marked with important national science and technology projects and a large number of grey system literatures published by China’s double first-class universities and double first-class discipline construction universities.
Originality/value
Both innovations of theoretical research and practical application play important role in the growth of new theory. The innovations of theoretical research provide methods and tools for practical application, which is conducive to improve application efficiency and broaden application fields. A large number of practical applications needs have become the source of theoretical innovation and the solid background for the birth of theoretical innovation achievements.
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Mingli Hu and Wenjie Liu
As the grey systems theory has been widely used in the field of sustainable development (SD) research, in the following, a short literature overview will be put forward, starting…
Abstract
Purpose
As the grey systems theory has been widely used in the field of sustainable development (SD) research, in the following, a short literature overview will be put forward, starting from the usage of these theories in the economic development, social inclusion and environmental protection contributions to the evolving process of SD during 2011–2021. The purpose of this paper is to identify some key studies from all the SD areas in which the grey systems can be used in order to open and to bring the researchers to new domains in which they can reveal their interest and in which they can successfully use the methods offered by the grey systems theory.
Design/methodology/approach
Using the search engine offered by the Google Scholar and the Web of Science (WoS), a literature review has been performed for the grey systems applications on SD research on both grey relational analysis (GRA) and grey forecasting. In addition, some grey evaluation theories – clustering evaluation models and grey target decision models – have also been presented.
Findings
Many grey models are widely used in the field of SD. Compared with other methods such as grey prediction, grey evaluation and decision-making model, GRA technology is the most used method, and the research using this method is more than three times that of all other methods.
Research limitations/implications
The present paper identifies some of the most representative examples in which the grey system theory (GST) has been used, but, in the same time, there are a lot of studies that have not been mentioned here due to the lack of space.
Originality/value
The present paper focuses on the SD applications in which GST has been successfully used, bringing to the reader a general overview on this field and, in the same time, enables new research perspectives.
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