Sustainability of Government Social Media: A Multi-Analytic Approach to Predict Citizens’ Mobile Government Microblog Continuance

Impact of perceived value in virtual brand communities on purchase intention of domestic electric vehicles

The consumption value seems to be insufficient to explain consumers' domestic electric vehicle purchase behaviour, especially in a highly competitive global environment. This study aims to investigate how consumer ethnocentrism and perceived interactivity influence consumption value and pro-environmental value, subsequently affecting attitude and intention. A total of 353 valid questionnaires were collected through convenience sampling in Xuzhou, China, and the partial least square (PLS) path modelling approach was performed to test the hypotheses. The results show that consumer ethnocentrism and perceived interactivity positively influence function value, emotional value, and social value; perceived interactivity also positively influences altruistic value, biospheric value, and collectivistic value. Function value, social value, and collectivistic value positively influence attitude; however, emotional value, altruistic value and biospheric value did not find a correlation with attitude. Furthermore, attitude positively influences intention to adopt domestic electric vehicles. Finally, the theoretical and practical implications, as well as limitations were discussed accordingly.

Effects of interactivity affordance on user stickiness in livestream shopping：identification and gratification as mediators

In this day and age, livestream shopping is developing by leaps and bounds in China. It has been proved that livestream shopping is efficient in attracting customers and boosting the sales of products. However, very little research has been carried out on user stickiness, which plays a valuable role in business success. In light of the stimulus-organism-response framework (S-O-R), a multiple-mediation model (identification and gratification as mediators) was established to examine the effect of interactivity affordance (S) on the user stickiness (R) of a sample of 489 Chinese livestream viewers. Structural equation modeling with bootstrapping estimation was performed to examine the mediating roles of identification (O-cognitive) and gratification (O-affective). The modeling results revealed that the relationship between interactivity affordance and user stickiness was partially mediated by identification combined with utilitarian gratification and fully mediated by identification combined with hedonic gratification. The findings stress the importance of categorizing gratifications. In addition, these findings offer new perspectives for understanding the effects of IT affordance on user stickiness.

A user satisfaction model for mobile government services: a literature review

User satisfaction is essential for the success of an organisation. With the development of government service delivery through mobile platforms, a compatible measurement model must be found to measure user satisfaction with performing such services through a mobile government portal. Measuring user satisfaction with mobile government services is necessary nowadays due to the increasing popularity of smart devices. Research on mGovernment users' satisfaction is lacking, leading to difficulties in understanding users' expectations. In the present study, systematic literature reviews have been used to analyze users' satisfaction with mGovernment portals and propose a comprehensive model compatible with such contexts. The results show that government agencies can evaluate users' satisfaction using the proposed model of six quality constructs: usability, interaction, consistency, information, accessibility, and privacy and security. The study recommends improving the evaluation strategies of mGovernment portals regularly to ensure they fit with challenges. Measuring user satisfaction at mGovernment services encourages the user to perform the transactions through such online platforms, increasing the digitalization process and reducing the cost and efforts for both the service provider and end-users.

Decision Making With an Alternative Mindset in an Online Shopping Environment: Identifying User Intentions Toward Facebook-Commerce

Considering the current global trend in the digital economy, Facebook commerce (f-commerce) is an indispensable component of today’s digital commerce. The purpose of this research is to test the proposed model to validate current theories that evaluate the relationships between online trust and customer f-commerce usage intentions. It has also been proposed to improve usage intention by integrating the relationship between perceived value and trust in electronic commerce (e-commerce). The data was gathered using a structured questionnaire and analyzed with structural equation modeling (SEM; n = 435). In this study, gender has been discussed as a moderating factor. The findings describe the positive relationships that exist between antecedents of trust and user intentions toward f-commerce. Furthermore, according to the findings of the study, females are more concerned than males about developing their intentions to utilize f-commerce for online shopping. Theoretical and practical implications are also presented in this study.

Using the Extended Acceptance Model to Understand Continuance Intention of Dockless Bike-Sharing

Despite the fact that dockless bike-sharing (DBS) usage first experienced explosive growth, its continuous usage rate remains low. The ultimate success of a DBS service is more dependent on its continued usage rather than its initial adoption. Following the extended technology acceptance model (TAM), this study aims to explore factors that influence the continuance intention of DBS users. The framework of research was validated using a sample of 369 DBS users in China. The results show that perceived usefulness and perceived ease of use positively influence a user’s intention to continue using DBS. Both descriptive social norms and injunctive social norms are positively related to the continuance intention of DBS users. Moreover, environmental concern significantly affects the continuance intention of a user indirectly via perceived usefulness and perceived ease of use. Furthermore, the extended TAM has stronger prediction ability than the original TAM in the context of DBS services.

Understanding the Moderating Impact of Context Awareness and Ubiquity on Mobile Government Service Adoption

The factors of context-awareness and mobile ubiquity are major components in the development and diffusion of any mobile technology-driven applications and services. Principally in the m-government development space, the issues of context-awareness and ubiquity are crucial if m-government initiatives are to be successful. The moderating effect of context-awareness and ubiquity on mobile government adoption is examined for 409 students from a Chinese University based on the Technology Acceptance Model. Using the Structural Equation Modeling technique, the results indicate that perceived ease of use (PEOU) was significantly related to intention to use, but perceived usefulness (PU) did not have a significant effect on mobile government adoption. The moderating analysis indicated that context-awareness significantly moderated the impact of PU but had no moderating effect on PEOU. Also, it was discovered that ubiquity was significant in moderating both the PEOU and PU on mobile government adoption. Policy implications and directions for future research are presented.

Work-related identity discrepancy and employee innovation behavior: the role of intrinsic motivation and self-construal

Purpose

The purpose of this paper is to investigate the role of intrinsic motivation and self-construal in explaining the relationship between work-related identity discrepancy and employee innovation behavior.

Design/methodology/approach

Based on a survey of 637 respondents from 15 organizations in southern China, this study examines four hypotheses with regard to the relationship between work-related identity discrepancy and employee innovation behavior through hierarchical regression analysis.

Findings

The research results indicate that work-related identity discrepancy is negatively related to employee innovation behavior, but intrinsic motivation mediates their negative relationship, and self-construal moderates this mediating effect further. Specifically, the results demonstrate that perceiving work-related identity discrepancy can lower intrinsic motivation among employees with interdependent self-construal and subsequently reduce their innovation behavior.

Originality/value

Drawn on social cognitive theory, this study reveals the negative effect of work-related identity discrepancy on employee innovation behavior and the moderated mediation effect of intrinsic motivation and self-construal on the negative relationship. The finding expands existing literature on work-related identity discrepancy and employee innovation behavior.

Explaining mobile government social media continuance from the valence perspective: A SEM-NN approach

Different from many previous studies explain mobile social media usage from a technical-center perspective, the present study investigates the factors that influence citizens' mobile government social media (GSM) continuance based on the valence framework. The research model was calculated by using data collected from 509 citizens who are the mobile GSM users in China. A structural equation modeling (SEM)-neural network (NN) method was employed to test the research model. The results of SEM indicated that the positive utilities included social value and hedonic value positively affect mobile GSM continuance, while the negative utility reflected by self-censorship negative affect mobile GSM continuance. This is further supported by the results of the neural network model analysis which indicated that hedonic value is more influencing predictor of continuous usage of mobile GSM, following by social value and self-censorship.

An Empirical Study on Online Learners’ Continuance Intentions in China

Online education in China is developing at a rapid pace due to its unique advantages, and its sustainable development is becoming increasingly crucial. Thus, this study attempted to understand learners’ continuance intentions in an online learning environment and examined the factors influencing online learners’ continuous retention. The research model for the influencing factors and study hypotheses were constructed based on multiple theoretical and synthesized perspectives, such as the information system success model; interactions between students, content, and instructors; and the theory of perceived value. To achieve the stated objectives, we conducted a questionnaire survey, in which 382 valid responses were collected from Chinese respondents from 32 provinces in China in April and May 2020. Furthermore, this study primarily employed Structural Equation Modeling (SEM) and Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the constructed model. The results indicate that service quality, course quality, and student–instructor interaction have indirect and positive effects on learners’ continuance intentions for online learning, while the variable of perceived value is a significant mediator for online learners’ retention and has a direct influence on their continuance intentions. Student–student interaction and student–content interaction do not have direct or indirect effects on online learners’ continuance intentions.

Sustainability of Government Microblog in China: Exploring Social Factors on Mobile Government Microblog Continuance

The sustainable development of mobile government social media depends citizens’ continued use. Based on the Stimulus-Organism-Response framework and social response theory, the present study investigated the impacts of perceived similarity and anthropomorphic cues on citizens’ mobile government microblog continuance. A research model of mobile government microblog continuance was developed and empirical tested by using dataset collected from 428 mobile government microblog citizens in China. The results of structural equation modeling demonstrated that perceived similarity (including external similarity and internal similarity), and anthropomorphic cues (including social interaction value, visual appearance, and identity attractiveness), have positive influences on both cognitive and affective involvement, which further determinate mobile government microblog continuance. Considering the path coefficient and significant levels, the impact from affective involvement on mobile government microblog continuance is stronger that from cognitive involvement.

M-Government Cooperation for Sustainable Development in China: A Transaction Cost and Resource-Based View

Mobile government (m-Government) is highly valued by many countries and governments worldwide for its important technical, economic, and political benefits. A development trend worthy of attention in China is that various public mobile services are provided through the cooperation between governments and Internet enterprises. The m-Government cooperation, as component of the public service system, has both a benefit safeguard function by mitigating transaction hazards and a value creation function by sharing advantageous resources. Previous studies have not explained both functions for m-Government cooperation. This study addresses this research gap. We establish a theoretical model by developing hypotheses from integrating model of Transaction Costs Theory (TCT) and Resource-based Theory (RBT). The OLS and Poisson regression method are used to test the proposed model by using cross-sectional data collected from 284 cities in China. Results show that strategy alliance, technology-specific knowhow, and financial security positively influence m-Government cooperation, asset specificity negatively influences the m-Government cooperation, and environmental certainty has no significant impact on m-Government cooperation. From the perspectives of technology, policy, and culture, the article puts forward suggestions on how to better promote m-Government cooperation in China, including promoting the government’s digital capabilities, improving the citizen’ privacy protection system and cultivating a public-private cooperative culture of mutual trust.