How does group-buying website quality for social commerce affect repurchase intention? Evidence from Chinese online users

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhuo Sun ◽  
Hong Zhao ◽  
Zongshui Wang
Keyword(s):  
Repurchase Intention ◽  
Social Commerce ◽  
Is Success ◽  
Website Quality ◽  
Content Type ◽  
Group Buying ◽  
Social Satisfaction ◽  
Customer Involvement ◽  
Success Model ◽  
Economic Satisfaction

PurposeThe success of social commerce group-buying information system (IS) is not a simple accumulation of functions, but a complex process of system integration that makes it difficult to design a high-quality website to improve the conversion rate of users has become a top priority for online companies. The purpose of this study is to further improve the IS success model to adapt to the new research scenarios and explore the boundary conditions between different satisfaction and repurchase intention.Design/methodology/approachIn this study, the users who have used the group-buying website quality for social commerce in the last 6 months are the objects of this study. Finally, 436 valid data were collected by questionnaire survey and analyzed by Smart PLS.FindingsThe results indicate that the four dimensions of website quality enhance consumers' economic satisfaction and social satisfaction, except that the path of system quality and social satisfaction is not significant. Economic satisfaction and social satisfaction also have a significant positive effect on repurchase intentions. Besides, the interactive effect of customer involvement and economic satisfaction has no significant impact on repurchase intention, but customer involvement plays a moderate role in the path of social satisfaction on repurchase intention.Originality/valuen order to make the IS success model better evaluate the characteristics of social commerce sites comprehensively, this present research introduces the measurement construct of interaction quality. Moreover, this study examines the effect of mechanism of economic satisfaction and social satisfaction on repurchase intention from the perspective of practical benefit and psychology. Finally, the boundary conditions of the effect of satisfaction on repurchase intention are explored.

How do digital influencers affect social commerce intention? The roles of social power and satisfaction

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Panpan Wang ◽  
Qian Huang ◽  
Robert M. Davison
Keyword(s):  
Social Power ◽  
Social Commerce ◽  
Theoretical Understanding ◽  
Content Type ◽  
Referent Power ◽  
Social Satisfaction ◽  
Economic Satisfaction ◽  
Social Shopping ◽  
Social Sharing ◽  
The Impact

PurposeThe success of social commerce depends on consumers' willingness to participate in social commerce activities. Practitioners have attached increasing attention to facilitating social commerce intention with influencer strategies. However, theoretical understanding or empirical investigation on the impact of digital influencers on consumers' social commerce intention is limited. This study aims to provide new insights into the drivers of two forms of social commerce intention: social shopping and social sharing intention. Based on the theoretical lens of social power, this study answers how digital influencers affect consumer satisfaction and ultimately boost their intention to conduct social commerce activities.Design/methodology/approachA field interview is conducted to determine the appropriate social power forms. An online survey on a large social commerce site in China with 310 respondents is conducted to test the proposed model.FindingsResults indicate that expert power and referent power derived from digital influencers predict most of the consumers' economic satisfaction, whereas referent power and reciprocity power explain consumers' social satisfaction. Economic satisfaction affects social shopping and social sharing intention, whereas social satisfaction only influences social sharing intention.Originality/valueThis study sheds new light on the theoretical understanding of the effect of digital influencers through a lens of social power. It provides new insight into the determinants of social commerce intention. It also compensates for the neglect of social satisfaction in the social commerce context.

When social media met commerce: a model of perceived customer value in group-buying

2016 ◽  
Vol 30 (4) ◽  
pp. 398-410 ◽  
Author(s):  
Yong-Ki Lee ◽  
Sally Y. Kim ◽  
Namho Chung ◽  
Kwanghoon Ahn ◽  
Jong-Won Lee
Keyword(s):  
Social Media ◽  
Least Squares ◽  
Significant Influence ◽  
Customer Value ◽  
Design Methodology ◽  
Social Commerce ◽  
Research Directions ◽  
Content Type ◽  
Group Buying ◽  
Perceived Customer Value

Purpose Social commerce using social media has been on the rapid increase. Among various social commerce models, group-buying has become the mainstream. There is a paucity of research related to how customers perceive value in group-buying situations. This paper aims to examine and analyze various factors that influence perceived customer value in group-buying. Design/methodology/approach Data were collected using a survey on customers who had purchased a restaurant service deal on a group-buying site. A partial least squares technique was used to estimate the model. Findings Results show that perceived customer value affects customers’ group buying intentions and that all four antecedents of perceived value (low price, valence of experience, trust in social media and reputation of the group-buying site) have a significant influence. Implications and further research directions are discussed at the end of the paper. Originality/value This study provides valuable strategic implications for social commerce firms.

A hybrid model for exploring the antecedents of cloud ERP continuance

2019 ◽  
Vol 15 (2) ◽  
pp. 215-235 ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Hybrid Model ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
System Quality ◽  
Continuance Intention ◽  
Is Success ◽  
Content Type ◽  
Is Success Model ◽  
Delone And Mclean ◽  
Success Model

Purpose This study aims to propose a hybrid model based on expectation–confirmation model (ECM), DeLone and McLean IS success model and task-technology fit (TTF) model to examine whether quality factors and TTF as the antecedents to user beliefs can affect organizational users’ continuance intention of cloud enterprise resource planning (ERP). Design/methodology/approach Sample data for this study were collected from end-users of cloud ERP working in companies in Taiwan. A total of 370 questionnaires were distributed in the 37 sample companies, and 315 (85.1 per cent) usable questionnaires were analyzed using structural equation modeling in this study. Findings This study’s findings indicated that users’ perceptions of system quality, information quality and TTF all contributed significantly to their satisfaction, confirmation and perceived usefulness (PU) of cloud ERP, which in turn directly or indirectly led to their continuance intention of cloud ERP; that is, the results strongly supported the hybrid model integrating ECM, DeLone and McLean IS success model and TTF model with all hypothesized links being significant. Originality/value Empirically, this study’s research model capturing ECM, DeLone and McLean IS success model and TTF model has significantly shed light on the possible formulation of a richer post-adoption model. Noteworthily, considerably more attention should be paid to the fit between information-related characteristics and cloud ERP users’ work goals and needs, while TTF, based on both system-related and information-related technology characteristics, significantly contributes to users’ satisfaction, confirmation and PU, which together directly or indirectly explain their intention to continue using cloud ERP.

The Effects of System Quality on Social Commerce

2019 ◽  
Vol 892 ◽  
pp. 258-265
Author(s):  
Nona M. Nistah ◽  
Suaini Sura ◽  
Ook Lee
Keyword(s):  
Customer Satisfaction ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Research Model ◽  
Social Commerce ◽  
System Quality ◽  
Is Success ◽  
Success Model ◽  
Confirmatory Factor

This study examines the effect of system quality (SQ) determinants on social commerce (s-commerce) context from the s-commerce consumers’ perspective by adapting IS success model. 220 data samples from online survey were analyzed using confirmatory factor analysis (CFA) and the structural equitation model (SEM) to test the research model. The findings show that visibility has a significant effect on perceived usefulness, and ease of use and responsiveness has a significant effect on customer satisfaction. In addition, the finding indicates the significant relationship among perceived usefulness, customer satisfaction and net benefits in s-commerce.

Modelling value co-creation in triadic B2B industrial relationships

2020 ◽  
Vol 38 (7) ◽  
pp. 941-955
Author(s):  
Vicente Sales-Vivó ◽  
Irene Gil-Saura ◽  
Martina Gallarza
Keyword(s):  
Social Dimensions ◽  
Cross Sectional ◽  
Content Type ◽  
Social Satisfaction ◽  
Model Studies ◽  
Economic Satisfaction ◽  
B2b Relationships ◽  
A Minor ◽  
The Relationship ◽  
Positive Effect

PurposeThis study examines the triadic approach of value co-creation (VcC) in B2B relationships between the industrial manufacturer, its main supplier and its main client, by validating VcC as antecedent of Trust and Commitment, which, in turn, affect Satisfaction.Design/methodology/approachA model studies the association of VcC to Trust, Commitment and Satisfaction, the latter in its economic and social dimensions. The relationships in the model are empirically contrasted twice (with suppliers and clients) for a sample of 77 firms participating in an industrial panel, the Spanish Furniture Market Observatory.FindingsUsing PLS-SEM, results suggest that, in industrial B2B relationships, VcC acts as antecedent of Trust and, to a minor extent, of Commitment. It also has a positive effect on Social Satisfaction, the latter having a positive effect in turn on Economic Satisfaction.Research limitations/implicationsResults are limited to the Spanish furniture industry with a cross-sectional approach. The linkages between VcC and Commitment, as well as the differences found between Social Satisfaction and Economic Satisfaction, need replications.Practical implicationsThe study suggests that VcC is the core of B2B industrial relationships. VcC may also boost Economic Satisfaction.Originality/valueLiterature on VcC has been extensive in B2C and B2B mostly for service contexts; this paper contributes by bringing evidence from a B2B manufacturing context. At the same time, it depicts a triadic approach of VcC in B2B, by measuring the relationships with both the manufacturer's main supplier and main client. The study also contributes with evidence to the role played by Trust and Commitment in the relationship between VcC and two Satisfactions.

Extending the expectation-confirmation model with quality and flow to explore nurses’ continued blended e-learning intention

2014 ◽  
Vol 27 (3) ◽  
pp. 230-258 ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Information Quality ◽  
Support Service ◽  
Learning System ◽  
System Quality ◽  
Continuance Intention ◽  
Is Success ◽  
Content Type ◽  
Delone And Mclean ◽  
Success Model ◽  
E Learning

Purpose – The purpose of this paper is to propose a hybrid model based on the expectation-confirmation model (ECM), flow theory, and updated DeLone and McLean information system (IS) success model to examine whether quality factors as the antecedents to nurse beliefs affected nurses’ intention to continue using the blended electronic learning (e-learning) system. Design/methodology/approach – Sample data for this study were collected from nurses at five hospitals in Taiwan. A total of 500 questionnaires were distributed, 396 (79.2 percent) questionnaires were returned. Consequently, 378 usable questionnaires were analyzed in this study, with a usable response rate of 75.6 percent. Collected data were analyzed using structural equation modeling. Findings – Information quality, system quality, support service quality, and instructor quality contribute significantly to perceived usefulness (PU), confirmation, and flow, which together explain nurses’ satisfaction with the usage of the blended e-learning system, and this in turn leads to their continued system usage intention. Originality/value – First, the application of the ECM with the view of updated DeLone and McLean IS success model reveals deep insights into quality evaluation (including information quality, system quality, and support service quality) in the field of nurses’ e-learning continuance intention. Especially, this study additionally contributes to the identification of instructor quality that may lead to nurses’ continued blended e-learning usage intention. Next, the empirical evidence on capturing both extrinsic motivator (i.e. PU) and intrinsic motivator (i.e. flow) for completely explaining quality antecedents of nurses’ blended e-learning continuance intention is well documented.

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