Consumer Acceptance of RFID Technology: An Exploratory Study

Radio frequency identification (RFID) technology is used in numerous applications and offers a plethora of interesting potential new applications. However, this potential raises issues that require addressing to achieve its widespread acceptance by consumers. This paper investigates the factors that affect consumer acceptance of RFID technology. The purpose of this effort is to develop and test a theoretical model that contextualizes the technology acceptance model (TAM) within the context of RFID technology. The research model proposes that convenience, culture, privacy, regulation, and security are the principal factors influencing the consumerspsila acceptance of RFID. However, the results show that convenience, culture, and security are significant predictors. This study is the first in the RFID literature to use the TAM for explaining consumer acceptance of RFID technology. The findings suggest that: (1) higher perceived convenience of RFID technology leads to greater acceptance of this technology; (2) societal beliefs, value systems, norms, and/or behaviors influence the extent of consumer acceptance of RFID technology; and (3) higher perceived importance of and less willingness to sacrifice personal information security lead to lower intention to use RFID technology. Contextualization of TAM to RFID technology makes this study relevant to practitioners because the results can provide insight to organizations using or exploring the use of RFID technology.     

感知风险理论在网上购物中的应用

感知风险理论几十年的发展证明其在解释消费者行为方面的适用性。国外相关研究显示：消费者对风险的感知是阻碍其网上购物的一个重要因素。本文分析了消费者对网上购物的风险感知情况，包括网上购物感知风险的概念，感知的风险类型、风险表现及风险来源．并提出了降低风险的建议。     

The interplay of online shopping motivations and experiential factors on personalized e-commerce: A complexity theory approach

The present study aims to examine purchase behavior in personalized online shopping by employing complexity theory, based on customers’ online shopping experience and online shopping motivations. To address its objectives, a conceptual model is proposed along with research propositions. The research propositions are validated through a survey on 401 customers’ experience with online shopping, by using the data analysis tool fsQCA (fuzzy-set Qualitative Comparative Analysis). The results, indicate nine configurations of online shopping experience and online shopping motivations that lead to high purchase intentions. This study takes a step further the literature of online shopping and the theoretical ground of how customers’ online shopping experience combines with their online shopping motivations in order to predict and explain increased intention to purchase. The findings offer implications for both researchers and online retailers, regarding the development of new theories in personalized e-commerce and the provision of personalized services.     

A consumer perspective of E-service quality

E-service is an emerging and rapidly evolving area as demonstrated by new technological innovations introduced to improve e-service. Motivated by the growing interest in online commerce, we focus our research questions on examining the factors that contribute to e-service, the relationships among these factors and the consumers' attitude toward e-service. To explore answers to our research questions, we developed an e-service model. Specifically, our proposed model consists of such constructs as individual differences, e-service convenience, Web site service quality, risk, e-satisfaction, and intention. We develop an e-service quality survey instrument and use empirical data to validate the instrument. The results of our empirical study validate our eight hypotheses. We confirm seven of the eight hypotheses. One hypothesis that tested individual differences and service convenience was not confirmed. However, we found that service convenience, Web site service quality, and risk are significant factors affecting consumers' satisfaction level, which in turn affects intention. The findings suggest that managers need to understand e-convenience from the consumers' perspective. In order to provide better services for users, companies need to invest in Web site service quality design and evaluation, and at the same time, control the perceived risk associated with using it.     

Online consumer review and group-buying participation: The mediating effects of consumer beliefs

This paper aims to examining the extent to which online consumer review (OCR) influences consumer beliefs and participation in online group-buying. We design a conceptual model and propose several hypotheses to articulate the relevant causal relationships in line with the social exchange theory and the theory of institution-based trust. The empirical results unveil that OCR significantly influences consumer perceptions in terms of perceived effectiveness, perceived structure assurance, and familiarity with intermediary, while consumer satisfaction and trust in intermediary significantly mediate the relationships between consumer perceptions and continuance use of online group-buying. The present study advances the theoretical understanding of the impact of consumer review and the mediating effects of consumer beliefs in the context of online group-buying. The findings make contributions to research and practice with managerial implications for the application of social media in electronic commerce and mobile commerce.     

Should I scan my face? The influence of perceived value and trust on Chinese users’ intention to use facial recognition payment

While China has seen the widespread adoption of facial recognition payment, concerns over the potential risks impede the further growth of user acceptance. Drawing on the perspectives of perceived value and trust, we developed a research model to explore how the Chinese users’ trade-off between perceived benefits (perceived convenience and perceived novelty) and perceived risks (perceived privacy risk and perceived financial risk) influences their usage intention. Based on survey data from 1,200 Chinese mobile payment users, this study uses structural equation modeling to examine the hypotheses. Our results show that perceived convenience positively influences perceived value, while privacy risk and financial risk negatively influence perceived value and trust. Although perceived novelty has no significant effect on perceived value and trust, perceived value positively influences trust, and both of them have a positive effect on the intention to use. Furthermore, our moderation analysis indicates that the influence of perceived value on the intention to use is stronger among users who consider facial information to be more sensitive. The theoretical implications for research as well as the practical implications for practitioners are also discussed.     

一种基于深度学习的电子商务满意度评估方法

随着电子商务的崛起,越来越多的消费者选择通过网购来获取所需的商品。消费者评论信息中包含了对商品、物流等电子商务各方面的满意程度,这就使得在线商品评论信息成为研究电子商务满意度的重要参考依据。因此充分分析商品评论中的消费者满意程度,具有巨大的商业价值和社会价值。本文从意见挖掘的角度出发,提出了一种基于深度学习的电子商务满意度评估方法,旨在为消费者进行网购决策时提供一些指导建议。     

A Comparative Study of Consumers’ Purchase Intention on Different Internet Platforms

The aim of this paper is to study consumers’ purchase intention on web-based and social-based B2C e-commerce platforms. This research is one of the first empirical studies to employ the Stimulus-Organism-Response Model (S-O-R Model) as a main research model. The researchers found six findings which contrast with the previous literature. First, the two-way communication tools provided by the platform are not powerful enough to significantly affect the emotional needs of online consumers. Second, the stimulus that affect user’s interpretation of online information is the two-way communication tools provided by the platform. Third, the risk perceived by a consumer in contemplating a particular purchase action does not significantly affect the emotional needs of consumers. Fourth, the stimulus that affects users’ curiosity aroused while interacting with the platform is the ability of the platform to enhance user participation in the platform’s activities. Fifth, consumers’ emotional needs significantly affect online consumers’ purchase intention. Finally, the degree of users’ attention while using the platform significantly affects consumers’ purchase intention.

     

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.     

Facilitation of consumer loyalty toward branded applications: The dual-route perspective

Although many brands develop mobile applications (apps) to build relationships with consumers, most branded apps fail to retain consumers’ loyalty. This study examines the facilitation of consumer loyalty toward branded apps (continuance intention, in-app purchase intention, and word-of-mouth intention) from the dual-route perspective. One route is the affective (relationship) route, where brand benefits (functional benefits, experiential benefits, symbolic benefits, and monetary benefits) drive parasocial interactions between consumers and the brand, which, in turn, influences branded app loyalty. The other route is the utility route, where system characteristics (system quality and information quality) affect perceived usefulness, which, in turn, facilitates branded app loyalty. An online survey was conducted, and the research model was empirically tested using partial least squares structural equation modeling. The findings support the dual-route perspective according to which both affective and utilitarian paths facilitate branded app loyalty. The key theoretical contribution of this study is that it moves beyond the utilitarian path and finds the affective (relationship) path to give a more complete picture of the facilitation of consumer loyalty in the branded app context. A strategy is provided to suggest to practitioners how to design branded apps to facilitate consumer loyalty.     

An empirical study on consumer online shopping channel choice behavior in omni-channel environment

With the rapid diffusion of smart devices, retailers provide new forms of interactive communication channels, enabling their consumers to access through the mobile channel. The retailers recognize the importance of the mobile channel as an efficient sales channel and as a tool for CRM (Customer Relationship Management). However, CRM has become increasingly complex after adopting it to the mobile channel. It is imperative for retailers to understand consumer behavior in an omni-channel circumstance. Using the four-year transaction data obtained from the online home-shopping provider that expanded its online service (telephone, ARS, Internet website) onto a mobile platform, this research analyzes the consumer channel choice behavior in the perspectives of consumer sociodemographic information, consumer behavior, and corporate communication strategies. To explain channel choices in the omni-channel environment, we use multivariate probit model with sociodemographic variables, communication strategies, order hour, and product categories. Our empirical results indicate that age and gender have significant influences on channel choice behavior. Consumer fixates their inflow channel. Communication strategies such as SMS and app push alarm significantly influence consumer channel choice. Consumers using mobile channel are making purchases without time constraints, while others not. We observed that products that have characteristics of experience goods or credence goods tend to be purchased via mobile and Internet channels that provide detailed and additive information like consumer reviews. Finally, the results revealed substitution effect between most of the channels, except for the Internet and telephone. Our investigation contributes to omni-channel online shopping literature by empirically testing the choice behavior, cross-channel effects, and also by providing insights for online retailers.     

Determinants of player acceptance of mobile social network games: An application of extended technology acceptance model

In recent years, mobile devices and social network games (SNGs) have gained wide popularity among the mainstream users. The present study aims to investigate the psychological elements that may contribute to user behaviors regarding mobile-social network games (M-SNGs). This study introduces an integrated model for M-SNGs. Statistical results from an online survey of players of M-SNGs indicate that the proposed research model effectively demonstrates and examines player acceptance of and attitudes toward M-SNGs. This research model is valid, and illustrates not only perceived enjoyment and usefulness as determinant variables of intention to use among players, but also perceived mobility together with perceived control and skill as motivational factors for players. The results also describe that satisfaction has a moderate role, which in turn has significant effects on multiple connections in the research model. Both theoretical and practical implications are provided based on the findings.     

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.     

Do information and service quality affect perceived privacy protection,satisfaction, and loyalty? Evidence from a Chinese O2O-based mobile shopping application

As the mobile application market rapidly expands, the mobile shopping market is also expected to follow suit. Further, a new form of online-to-offline (O2O) services available in mobile shopping applications, which helps users instantly search for what they want online, try them in the offline stores nearby, and pay online, is becoming increasingly popular. Thus, our study investigates the effects of O2O-based mobile shopping application (MSA)’s information and service quality on the user’s perceived privacy protection, satisfaction, and loyalty. In this study, we collected 1063 questionnaire responses, out of which 969 were used to estimate the structural paths using PLS-SEM (partial least-square structural equation model) for the hypothesis test. Our empirical findings are drawn from Chinese respondents who use Chinese leading MSAs, such as Baidu, Alibaba, and Tencent. We confirm that qualified information and services of O2O MSAs positively affect both perceived privacy protection and customer satisfaction, which finally lead to customer loyalty through the lens of the information systems success model. Further, we present effective practical implications for business strategy and application characteristics suitable for users in the O2O-based mobile shopping industry.     

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.     

Is ChatGPT scary good? How user motivations affect creepiness and trust in generative artificial intelligence

Few studies have examined user motivations to use generative artificial intelligence (AI). This research aims to address this gap by examining how user motivations for ChatGPT usage affect perceived creepiness, trust, and the intention to continue using AI chatbot technology. The findings of an online survey (N = 421) reveal a negative relationship between personalization and creepiness, while task efficiency and social interaction are positively associated with creepiness. Increased levels of creepiness, in turn, result in decreased continuance intention. Furthermore, task efficiency and personalization have a positive impact on trust, leading to increased continuance intention. The results contribute to the field of human–computer interaction by investigating the motivations for utilizing generative AI chatbots and advancing our comprehension of AI creepiness, trust, and continuance intention. The practical ramifications of this research can inform the design of user interfaces and the development of features for generative AI chatbots.     

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。     

Predictors of television and online video platform use: A coexistence model of old and new video platforms

Recognizing that new and old media coexist in media markets, the overarching aim of this study is to investigate how the perceived characteristics of online video platforms and consumer-related factors affect consumer intention to use the Internet and television to watch video content. The primary theoretical foundations are the theory of planned behavior (TPB) and the technology acceptance model (TAM). By extending TAM and TPB into other constructs, the present study aims to provide richer explanations for consumers’ choice of a video platform in the competitive video marketplace. This study used a survey method to collect data. A total of 1500 adults throughout the US who use the Internet were employed for the sample of the main survey. For the analysis to test hypotheses, 388 responses were used. This study found that the more consumers perceive online video platforms differ from television in satisfying their needs, the more likely they are to use online video platforms. The relative advantage and compatibility of online video platforms decrease the likelihood of using television.