Elucidating the determinants of purchase intention toward social shopping sites: A comparative study of Taiwan and Japan

As the market potential of social shopping is increased by social networking sites (SNSs), the social shopping research can be interesting and valuable for social shopping firms to clearly understand the determinants affecting consumers’ purchase intention toward social shopping sites (SSSs). The objectives of this study are to examine consumers’ purchase intention toward a target SSS in different countries and to understand these differences from a cross-cultural perspective. In order to explore the cross-cultural differences in consumers’ purchase intention toward a target SSS, we propose an analytic framework that consists of website quality (i.e. system, information, and service quality) and relationship quality (i.e. satisfaction, commitment, and trust) that the SSS provides. To identify the determinants of purchase intention of SSS, large-scale online surveys were conducted in Taiwan and Japan simultaneously with the same questionnaire. Results show that perceptions of the two types of quality for a target SSS are significantly different between Taiwan and Japan, and effects of the quality types on the degree of purchase intention derived from the SSS also vary across the two countries. This paper ends with a discussion and limitations of the study results, as well as future research directions.     

浅析网上购物风险防范

随着互联网技术的普及,网上购物作为电子商务中的重要组成部分,得到越来越快的发展。然而,在网上购物迅猛发展的同时,网上购物安全问题也日益突出,加强网上购物安全技术研究,提高消费者网上购物风险防范能力,具有重要意义。论文从有效识别钓鱼网站、预防团购诈骗、合理运用在线支付工具、预防带毒秒杀器等四个方面探讨如何有效规避网上购物的风险。     

The use of mobile technology for online shopping and entertainment among older adults in Finland

Older adults are becoming an important market segment for all internet-based services, but few studies to date have considered older adults as online shoppers and users of entertainment media. Utilising the concept of life course, this article investigates the use of mobile technologies for online shopping and entertainment among consumers aged 55 to 74. The data were collected with a web-based survey completed by a panel of respondents representing Finnish television viewers (N = 322). The results reveal that consumers aged 55 to 74 use a smartphone or tablet to purchase products or services online as often as younger consumers. In contrast, listening to internet radio and watching videos or programmes online with a smartphone or tablet are most typical for younger male consumers. The results demonstrate that mobile-based online shopping is best predicted by age, higher education, and household type (children living at home), and use of entertainment media by age and gender.     

Elements of information ecosystems stimulating the online consumer behavior: A mediating role of cognitive and affective trust

Information makes consumers aware of what is on the market, their producers, and their prices, which is important for making informed purchasing decisions. Information to influence customer decision-making in online purchasing environments is becoming increasingly focused, but the diverse mechanisms of information ecosystems for building trust are little recognized. Therefore, the current study fills a research gap in consumer behavior by explaining the effect of determinants on purchasing and recommendation behavior from the perspective of information ecosystem elements. This study proposed a theoretical model combining the stimulus-organization-response (S-O-R) model, the effect hierarchy model, and the information ecosystem theory. The 372 valid responses were collected through a structured questionnaire and analyzed using structural equation modeling (SEM). Theoretical and empirical evidence support the mediation role of cognitive and affective trust in explaining online physician ratings and consumer behavior. The results revealed that the novel technology and functions should be introduced into the online physician review platform to enhance information quality and perceived similarity between receivers and senders. Practitioners should focus more on developing cognitive and affective trust, which will benefit the rapid growth of online shopping. Based on the outcomes, this study offers some valuable suggestions for policymakers.     

智能购衣系统设计与研发

本项目主要研发一个具有智能推荐、自动客服、检查提醒功能的在线智能购衣系统:顾客注册后能输入自己及亲人的身材数据,系统能对顾客的购买记录进行挖掘修正顾客身材找出顾客喜好,在顾客进入网站和搜索服装时能按照顾客的身材、体型及喜好给顾客推荐合适的服装;在顾客下单选错码时能及时提醒;在人工客服繁忙时能提供自动客服回答顾客咨询,从而提高服装网购成功率和客户满意度,降低退换货率和库存积压.     

Risk and opportunity for online purchase intention – A moderated mediation model investigation

What is the risk and opportunity for online purchase intention? This study focused on online purchase intention to explore the relationships on the proposed theoretical model for an electronic commerce environment in Taiwan. This study found electronic word-of-mouth plays a fully mediated role between perceived risk and online purchase intention. Online involvement plays a moderated mediating role in the proposed theoretical model. Perceived risk of online purchase intention through electronic word-of-mouth is stronger at low degrees of online involvement than at higher degrees of online involvement for Taiwan’s online consumers. This study concludes online operators might consider encouraging online consumers to participate in online information with a high degree of involvement. Thus, although perceived risk is a risk for online consumers and is harmful to online purchase intention, online operators should turn risks into opportunities for electronic commerce by effectively using the power of online involvement and e-WOM.     

基于用户群的细分挖掘运营商在电子商务上的机会

基于e声网的调研数据,重点讨论了目前网络购物用户群的细分,研究各细分用户群网上购物的行为和动因,分析各用户群在电信运营商网上营业厅的消费现状和评价以及判断他们未来可能的消费态度,最后建议运营商发展电子商务应针对不同用户群,突出重点,构建三位一体的电子渠道,强化自有网上营业厅的用户体验。     

Reflex — Personalised Wireless Interaction in a Broadband Environment

Reflex is a research project looking at providing an exciting and compelling broadband application for use in retail and leisure environments. Businesses using a Reflex system could provide highly personalised, interactive, wireless experiences for their customers. A user's physical presence alone triggers content on large multimedia displays, allowing them to access exclusive services, browse and purchase goods securely, in a manner that provides the speed and convenience of shopping on-line and the customer service experience of shopping in a real store.     

Do people play MMORPGs for extrinsic or intrinsic rewards?

Several frameworks have been proposed to explain the motivations for playing Massively Multiplayer Online Role-Playing Games (MMORPG). However, no unified view as to whether people play MMORPGs for extrinsic or intrinsic rewards has been proposed in the existing literature. Thus, this study drew upon flow theory, Veblen’s Leisure Class theory, and Yee’s online gaming motivations framework to investigate the effects of extrinsic and intrinsic motivations on the gamer loyalty and gaming behaviors of Turkish MMORPG players. A path model was proposed to articulate the aforementioned relationships. The model showed that gamer loyalty could be predicted by status seeking (extrinsic motivation) and two facets of flow (merging of actions and awareness, and autotelic experience; intrinsic motivation). Furthermore, the game levels reached while playing MMORPGs were affected both by status seeking (extrinsic motivation) and high control of the game (intrinsic motivation). The results also demonstrated that participants with higher social motivation spent more of their daily time on MMORPGs, and players who reported higher levels of autotelic experience spent more money on MMORPGs.     

Anxious attachment,relational embeddedness,trust, co-production,and performance: An empirical study in online business-to-business relationships

Purpose

The online shopping platform serves as an intermediary between online stores and individual online shoppers. The purposes of this study are to examine the influence of anxious attachment and relational embeddedness on trust and to investigate the impact of trust and co-production on performance in the context of online seller-shopping platform relationships.

中国农村网购现状与消费行为影响因子研究

随着农村网购订单的快速增长,农村成为电商平台重点开发的新市场,研究农村网购消费行为与消费需求,对促进农村网购发展具有重要意义。通过对中国东、中、西部10个省20个城市进行问卷调查,利用SPSS19.0进行数据统计与分析,了解中国农村网购消费行为与需求,提出优化农村网购的发展对策。通过因子分析法对农村网购消费行为进行分析,发现网购安全可操作、商品丰富、网购配套服务、商品价格和购买方便程度是影响农村网购的主要因素。     

基于顾客购物行为网络满意度模型构建

文中以网络消费者为研究对象,从网络消费者购物行为对网络购物满意度的影响的视觉,根据顾客满意度与购物行为的相关理论,建立网络满意度与网络消费者购物行为之间的关系模型,并通过实证分析来检验模型。     

电子商务网站在线支付模块的集成研究

在现有的第三方网络支付平台中,淘宝在线支付业务占全国市场份额的47.1%,占据统治地位。而2003至2011年以来,网络购物规模一直保持一个快速增长的趋势。对于需要自己开办网站从事网络购物的商家和公司,为满足客户购物在线支付的需要,应该考虑在购物网站集成在线支付功能。最后,以如今使用最广泛的网络支付平台"支付宝"为例,讲述如何在电子商务网站中集成在线支付功能。     

What is the impact of service quality on customers’ satisfaction during COVID-19 outbreak? New findings from online reviews analysis

The COVID-19 pandemic has caused major global changes both in the areas of healthcare and economics. This pandemic has led, mainly due to conditions related to confinement, to major changes in consumer habits and behaviors. Although there have been several studies on the analysis of customers’ satisfaction through survey-based and online customers’ reviews, the impact of COVID-19 on customers' satisfaction has not been investigated so far. It is important to investigate dimensions of satisfaction from the online customers’ reviews to reveal their preferences on the hotels' services during the COVID-19 outbreak. This study aims to reveal the travelers’ satisfaction in Malaysian hotels during the COVID-19 outbreak through online customers’ reviews. In addition, this study investigates whether service quality during COVID-19 has an impact on hotel performance criteria and consequently customers' satisfaction. Accordingly, we develop a new method through machine learning approaches. The method is developed using text mining, clustering, and prediction learning techniques. We use Latent Dirichlet Allocation (LDA) for big data analysis to identify the voice-of-the-customer, Expectation-Maximization (EM) for clustering, and ANFIS for satisfaction level prediction. In addition, we use Higher-Order Singular Value Decomposition (HOSVD) for missing value imputation. The data was collected from TripAdvisor regarding the travelers’ concerns in the form of online reviews on the COVID-19 outbreak and numerical ratings on hotel services from different perspectives. The results from the analysis of online customers’ reviews revealed that service quality during COVID-19 has an impact on hotel performance criteria and consequently customers' satisfaction. In addition, the results showed that although the customers are always seeking hotels with better performance, they are also concerned with the quality of related services in the COVID-19 outbreak.     

Why should I pay? Exploring the determinants influencing smartphone users’ intentions to download paid app

The objectives of this study are to investigate (1) the positive effects of smartphone users’ core self-evaluations (CSEs), online consumer conformity, and the social identity of their emotions, (2) the effects of their positive emotions on their trust, and (3) the effects of their trust on their intention to purchase paid apps and willingly engage in co-production. A questionnaire was employed to examine the relationship between the users’ CSEs, online consumer conformity, and social identity, on the one hand, with their intention to purchase paid apps and willingly engage in co-production on the other hand. The findings were as follows: (1) CSE, online consumer conformity, and social identity positively affected the users’ emotions, (2) positive emotions had a significantly positive effect on user trust, and (3) trust had significantly positive effects on the users’ intention to purchase paid apps.     

基于本体论的网络购物模式研究

电子商务的激烈竞争使得以消费者为中心的理念越来越得到重视,提高用户体验日益成为关注的焦点。而在B2C/C2C平台上,简单的通过关键字提供商品信息的模式已经严重影响到用户的购物体验。本文通过本体的引入建立一种网络购物模式,使购物平台智能模拟用户购物行为来提高用户的满意度,进而使购物平台拥有一个好的的用户体验和用户黏性。     

Research on online review-trust model and synthetical value model based on power-law and density clustering algorithm

The existing online shopping researches on consumer reviews are mostly based on the attitude change model (ACM). Although the ACM is valuable, it is not easy to judge the trustworthiness of the reviews and measure the values of the reviews. Based on the online data acquisition technology, we have got the data of 360buy, a domestic large-scale business to customer (B2C) commerce website in China. With application of data-mining and the density clustering algorithm (DBSCAN), we focus on the intervals distribution and the synthetic value of consumer reviews. The distribution of review interval can be depicted by the power-law function which presents a monotonically increasing relationship between the power-exponent and the customers’ concerns with the commodity: the higher the exponent is, the more attention will be drawn. We also find that the value of online reviews can be measured by the expertise value, which is the attraction and the quality of the reviews. Based on the above results, we have constructed the online review-trust model and the synthetic value model. The relationship between the power-exponent and the consumer attention has played a vital role in the consumer attention to online-shopping, and then the synthetic value model will help people find out useful reviews more effectively.     

To shop or not: Understanding Chinese consumers’ live-stream shopping intentions from the perspectives of uses and gratifications,perceived network size,perceptions of digital celebrities,and shopping orientations

Live-stream shopping is experiencing unprecedented growth. However, research in live-stream commerce is in its infancy. The current study integrates uses and gratifications, perceived network size, perceptions of digital celebrities, and experience-focused shopping orientation to clarify motivations for live-stream shopping. Accordingly, the current study used a questionnaire to collect data from 339 Chinese consumers and structural equation modeling to analyze data in AMOS 24. In this study, individuals were motivated by gratifications that were (1) hedonic (perceived enjoyment), (2) utilitarian (self-presentation), and (3) social (social presence and interaction). Moreover, perceived network size significantly predicted perceived enjoyment, social interaction, social presence, and utility. In addition, experience-focused shopping orientation mediated the relationships among perceived enjoyment, self-presentation, social interaction, and live-stream shopping intentions. Finally, the mediating roles of the perceptions of digital celebrities in the relationships of perceived network size with perceived utility, perceived engagement, social interaction, social presence, and self-presentation were confirmed.     

Relevant and rich interactivity under uncertainty: Guest reviews,host responses,and guest purchase intention on Airbnb

Online commerce, increasingly running on digital platforms, is subject to higher uncertainty and risk in transactions (e.g., fraud, opportunism) than offline commerce. To cope with this challenge, online commerce companies often use information systems to promote interactive communication between sellers and buyers. This study examines how such seller-buyer interactivity affects buyers’ purchase intention in an online commerce context of accommodation sharing. In particular, we use text mining techniques to analyze guest reviews and host responses on Airbnb. Our analysis suggests that not only the quantity but also the quality of the response messages matter: potential guests’ purchase intention increases with the relevance and richness of the host’s responses as well as their volume. Further, we find a notable nonlinearity in the quantity effect that the volume of host responses significantly affects guest purchase intention only when it is large enough. Making sufficient responses, the hosts could enjoy complementarity between the quantity and quality effects of their responses; otherwise, the relative richness of their responses becomes more important.