Modelling consumers’ acceptance for the click and collect service

This study investigates possibilities for developing a click and collect service in the context of e-commerce and attempts to identify the consumer characteristics that determine the acceptance of this service. Data of 285 e-commerce consumers were collected through an online questionnaire using banners uploaded in seven online retailers' sites. Binary logit models are developed to analyze the data and relate consumer characteristics to their intention to use and pay for the click and collect service. Perceived environmental contribution of the click and collect service, perceived time pressure, car use in the city center and frequency of online shopping significantly affect consumers’ intention to use the service. The model results provide information that can be used to choose location points and design marketing and pricing policies that will make the click and collect service attractive to customers.     

Power-Dependence and Reseller Influence on SMEs' Continued Use of Online Direct Sales Channels: An Empirical Study

A dual-channel model with a physical sales channel and an online direct sales channel (ODSC) frequently causes channel conflicts. Small- and medium-sized enterprises (SMEs) using such a model may be forced to suspend ODSC to ease conflicts and maintain traditional resellers. From a channel conflict perspective, this study investigates a few critical factors underlying SMEs' intention to continue with an existing ODSC. We develop a research model by integrating power-dependence theory and the technology acceptance model. Then we construct and administer a survey to a sample of US SMEs currently using the dual-channel model. Partial least squares regression is employed to analyze the data and evaluate the impact of four key factors on SMEs' continuance of ODSCs: perceived business value of ODSCs, perceived ease of continuance with ODSCs, reseller dependence, and reseller forceful actions. Findings of the study contribute to the understanding of supplier-reseller relationships and continued use of information technologies among SMEs.     

Web functionality,web content,information security,and online tourism service continuance

This paper aims at examining key information dimensions in association with online tourism service continuance from the consumer perspective. We propose a conceptual model and four hypotheses to articulate the relationships of the relevant constructs. The empirical results unveil that web functionality, web content, and information security positively influence consumers’ perceived value of online tourism services which in turn significantly mediates the effects of these determinants on continuance intention to use online tourism services. The present study makes contributions to research and practice with theoretical and managerial implications. The empirical findings deepen the understanding of consumer attitudes and key information determinants of online tourism services and provide insights for enhancing online travel and tourism services.     

Why Do Consumers Go Internet Shopping Again? Understanding the Antecedents of Repurchase Intention

Consumer intention of reusing online websites for shopping is a major consequence for an electronic commerce company's profitability. Therefore, understanding the factors that influence online customers' repurchase intentions is of great importance to the EC companies. Drawing on specific dimensions of Social Cognitive Theory (SCT), Information Systems continuance model, Technology Acceptance Model (TAM), and empirical findings from prior studies as antecedents, the related factors were adapted and integrated within the context of Internet shopping repurchase intentions and were tested in a field study. Empirical data for hypotheses testing were collected from the online virtual store of 7-ELEVEN in Taiwan, yielding 444 valid samples. The results show that online consumer repurchase intention is determined by satisfaction, perceived usefulness, perceived ease of use, and Internet shopping self-efficacy. Satisfaction is influenced by perceived usefulness, perceived ease of use, confirmation, and positive Internet shopping experience. Perceived usefulness, in turn, is influenced by behavior modeling, positive Internet shopping experience, Internet shopping self-efficacy, and confirmation. Confirmation is affected by positive Internet shopping experience and behavior modeling. In addition, confirmation has significant effects on perceived ease of use. Finally, positive Internet shopping experience appeared to have a significant impact on Internet shopping self-efficacy. From the empirical data, meaningful findings and conclusions are derived, and suggestions for future research are also discussed.     

网络购物粘性行为前置因素研究

以网络购物中的消费者粘性行为前置影响因素为切入点,通过文献回顾,提出用户视角的网络粘性是在持续使用基础上所形成的一种心理依赖行为,并以此为基础构建网络消费者粘性的前置因素假设,通过问卷调查的方式进行实证分析。研究表明:持续使用意向在各前置因素与粘性行为的形成之间起中介效应作用;消费者的感知因素如感知有用性、心流、满意度均通过中介变量对粘性产生影响;同时,网络的结构化特征结构嵌入也通过持续使用意向促进粘性的产生;消费者的网络使用习惯则直接促使粘性的产生。     

An Alternative Lens for Understanding Technology Acceptance: An Equity Comparison Perspective

Many studies of technology acceptance have noted that new technology can have far-reaching effects, dramatically changing the environment (e.g., work, home, school) in which we use the technology. The current research considers an equity comparison perspective on technology acceptance and usage in the context of online discussion tools based on the equity implementation model (EIM). The EIM applies equity theory to assess user net outcomes related to adopting new technology in comparison to the net outcomes of other technology stakeholders. Facilitating conditions with the new technology are investigated as a moderating factor on intentions and usage. Equity theory and social comparisons provide an alternative lens for understanding technology acceptance that may capture broader issues related to the changes resulting from new technology. This research describes what we believe to be a first effort to operationalize social comparisons of equity in the context of technology acceptance. A survey instrument measuring social comparisons of net outcomes is developed, and a longitudinal, empirical study is conducted in the context of online discussion forums. The research model is also investigated within a nomological network of technology acceptance constructs. The results indicate that the model provides explanatory power comparable to existing models of technology acceptance and that outcome comparisons provide unique insight beyond known determinants of intentions and usage.     

Instant messaging continuance: A media choice theory perspective

Instant Messaging (IM) has become one of the most popular applications for many Internet users. While prior research has primarily focused on IM initial adoption, continued usage (or continuance) has not drawn much attention. This research integrates media choice theories with motivation theory to explain IM continuance. It tests the proposed model using data collected from a sample of 207 Chinese university students via an online survey. Results indicate that perceived enjoyment, perceived critical mass are key to IM continuance intention. Perceived social presence and perceived critical mass are positively associated with perceived enjoyment. We also find that perceived social presence, perceived media richness and perceived enjoyment have significant effects on perceived usefulness.     

Preventing Customer Churn in the Mobile Telecommunication Industry: Is Mobile Money Usage the Missing Link?

The paper examines the influence of mobile money usage on customer continuance intention (CCI). The study conveniently sampled 507 mobile money users to test the research model using PLS-SEM. Satisfaction, trust and active usage of mobile money were found to influence CCI. Active usage of mobile money was also confirmed as a mediator in the relationship between satisfaction and trust, on customer continuance. The study thus validated a theoretical model of customer continuance intention as it relates to mobile money usage. It has also provided a new perspective on managing customer churn in an emerging market.     

Behavioural intention to use a contact tracing application: The case of StopCovid in France

This research aims to study citizens' intention to download and use the COVID-19 tracing app in France. The theoretical framework considered the theory of technology acceptance model, the theory of goal-directed behaviour, and the theory of privacy to explain the intention to use the COVID-19 tracing app. The methodology included an online survey to examine the theoretical model, which was tested using structural equation modelling. The results show that anticipated emotions, perceived usefulness, privacy concerns, and perceived permission sensitivity significantly contribute towards the intention to adopt the StopCovid app. Subjective norms and goal desire do not exert a direct impact. These findings provide both theoretical and practical implications by adding the extrinsic social value dimension to the analyses of the StopCovid app and presenting antecedents for enhancing its design and safety.     

Investigating older consumers’ acceptance factors of autonomous vehicles

Although autonomous vehicles are expected to provide various benefits for older consumers regarding physical and social health and successful aging, they do not show a high acceptance rate. This study develops the research model to explore the external and internal factors affecting baby boomers’ acceptance of autonomous vehicles based on the Automation Acceptance Model. We conducted an anonymous online survey with a professional online research company to examine the research model. Based on the results, we propose the implications of improved mobility due to autonomous vehicles on the healthy life of older consumers.     

Cash,credit, or phone? An empirical study on the adoption of mobile payments in the United States

The purpose of this study is to investigate the effects of consumer factors on behavioral intention to adopt mobile payments. We focus on the proximity mobile payment, which is made feasible by the near-field communications (NFCs) technology. Building upon the theory of reasoned action and technology acceptance model (TAM), a behavioral intention model was established consisting of enhanced cognitive antecedents as well as affective and social antecedents. Cognitive antecedents encompass the factors including relative advantage, perceived usefulness and ease of use in the TAM, and technology characteristics (e.g., responsiveness and mobility); affective antecedents focus on positive and negative emotions associated with using NFC mobile payments. Both antecedents are expected to affect attitudes. In addition, social antecedents examine subjective norms and the influence of network externalities. Data were collected from 394 adult nonusers of NFC mobile payments in the United States via an online survey. The research model was tested using structural equation modeling. The results showed that all three antecedents significantly affected individual consumers’ intention to adopt NFC mobile payments, explaining a significant amount of variance. Both theoretical and marketing implications are discussed in the context of NFC mobile payments.     

Consumer Acceptance of mHealth Services: A Comparison of Behavioral Intention Models

Recent appropriation of mobile devices to deliver health services is transforming the health care landscape, offering reduced costs and increased access for service providers and consumers. This article examines factors influencing consumers' decisions to adopt mobile health (mHealth) services through a comparison of three behavioral intention models. A national web-based survey of 482 French adults indicates that the model of goal-directed behavior (MGB) more fully, though less parsimoniously, explains consumers' acceptance of mHealth services. This research provides insight into the usefulness of the MGB in improving understanding of the determinants of behavior situated at the intersection of health, service, and technology.     

Determinants of App Stores Continuance Behavior: A PLS Path Modelling Approach

Prior research has mostly examined the satisfaction, intention, and behavior of users toward technology and systems in general, and little research has been dedicated to understanding apps commerce and app stores. Drawing upon the extended model of IT continuance and theory of information overload as a theoretical foundation, the aim of this study is to examine consumer satisfaction, continuous intention, and behavior toward apps shopping. A total of 347 valid questionnaires were collected from experienced consumers with app stores to statistically test the theoretical model using the partial least squares path modelling approach, a structural equation modelling technique. The results show that apps self-efficacy, post-usage usefulness, disconfirmation, facilitating conditions, perceived information overload, apps satisfaction, and apps continuance intention can be used to predict and explain 75.7% of variance in consumer’s continuance behavior in using app stores. The negative and positive causal relationship between constructs, managerial implications, and limitations are discussed.     

Antecedents of Purchase Intention in the Online Context

The understanding of the determinant factors of customer purchase intention is necessary, and it is equally important to study the online purchase context, since this context is disseminated among customers. A theoretical model has been elaborated on and tested, considering the constructs of information quality, distrust, and perceived risk as antecedents of purchase intention, and aiming to analyze the relationship among these constructs in the online purchase context. A quantitative research study has been performed by means of the application of a survey. Multivariate statistics techniques have been applied for data analyses, including structural equation modeling. This study contributes to the evolution of the empirically tested concepts by providing a greater individual understanding of each construct presented in the theoretical model, as well as the relationship among them as determinants of purchase intention; the indication is that meaningful relationships were found which may impact greater profitability and, consequently, greater competition for online retailers.     

Exploring usage continuance of e-negotiation systems: expectation and disconfirmation approach

Online negotiation is becoming increasingly popular and important due to the rapid growth of global e-business, with the factors determining the continuance of e-negotiation systems (ENSs) usage––rather than the mere acceptance of their use––receiving more attention. This study used the expectation-disconfirmation theory to investigate the factors influencing the intention of ENS usage continuance. Using two Web-based ENSs, data were collected from 170 negotiators who participated in an e-negotiation experiment lasting 17 days. A structural-equation modeling technique was adopted to examine the research model and hypotheses. The obtained research results provide novel insights into ENS usage continuance for ENS researchers, developers, and managers. They indicate that positive disconfirmation (i.e., where the actual experience or perceived performance is better than the expectation) plays a crucial role in shaping the intentions of users to continue using an ENS. Therefore, researchers should consider postusage factors when attempting to elucidate the decision-making processes that underlie the continued use of an ENS. Similarly, the development of a successful ENS requires its developers to consider the expectations of users when designing the system specification. To ensure ENS usage continuance, IS managers should continuously monitor the users’ expectation-disconfirmation status to ensure their satisfaction with the ENS.     

User Acceptance of Web-Based Negotiation Support Systems: The Role of Perceived Intention of the Negotiating Partner to Negotiate Online

With the rapid growth of web-based services and global trade, there is some commercial potential for web-based Negotiation Support Services (WNSS). This market potential, however, is somewhat untapped. While previous studies had examined WNSS adoption by individual decision makers, this situation is not fully realistic, as the conformity of all negotiating partners is required for web-based negotiation to happen. Therefore, this study extends the technology acceptance model for the context of e-negotiation through the inclusion of perceptions regarding the intention of the negotiating partner to use WNSS (i.e., perceived intentions). An empirical investigation, based on phone interviews with potential users, supports the research model. The perceived intention of the negotiating partner to agree to use WNSS was found to have significant positive effect on individuals’ acceptance of WNSS and its antecedents. Adding this construct into WNSS acceptance theory advances our understanding of WNSS adoption and provides important insights for scholars and practitioners.     

Personalization has a Price,Controllability is the Currency: Predictors for the Intention to use Personalized eGovernment Websites

Content personalization on government websites provides individuals with a personal selection of information. In this study, we determine the role of trust in a government organization, trust in the technology, and perceived controllability on the intention to use content personalization for eGovernment websites. A total of 1141 participants were presented with scenarios describing a nonpersonalized webpage and one of four approaches to online content personalization, followed by an online survey. Results were analyzed by means of structural equation modeling. Perceived controllability is the most important antecedent of the intention to use online content personalization for eGovernment; trust in the technology also has a considerable influence. Trust in the government organization plays a minor role. The adaptable approach to online content personalization has the highest likelihood of citizen acceptance. When designing personalized eGovernment information services, designers should instill a feeling of controllability over the coming about of tailored content and trust in the technology.     

Making e-government attractive

E-government has now become a reality for the vast majority of developed countries and, as confirmed by recent EU studies, is also beginning to take root among the developing nations. The challenge that the majority of governments now must take up is not only to introduce a system of e-administration (the traditionally accepted definition of e-government), but also to work towards a system that will hail an era of e-governance or good government. For this to occur, public administrations must make a greater effort to implement e-government systems that allow fluid communication with the general public, thereby achieving a greater degree of participation; the key to success for e-government. This article looks at some of the major government portals to services for citizens in countries across five continents from the point of view of creativity. The analysis of how governments are using creativity to attract public attention to their sites is then compared to recent EU results on participation and depth of services.     

An integrated attitude model of self-service technologies: evidence from online stock trading systems brokers

This study develops an integrated causal path analysis, based on both category-based affect theory and the technology acceptance model (TAM), to identify the antecedents of consumers' attitudes toward self-service technologies. Using online stock trading systems as an example (N?=?267), this study employs structural equation modeling to confirm the research structure. The results reveal that consumers' attitudes toward self-service technologies depend on their attitude toward technologies and attitude toward self-services, in support of category-based affect theory. Further, computer self-efficacy and network information literacy positively influence attitude toward technologies, and both perceived ease of use and perceived usefulness positively influence attitude toward self-service technologies, which were proposed in the two theories, were also found. Therefore, this study suggests that integrated attitude model of the category-based affect and TAM can be applied to properly explain the attitude forming toward self-service technologies, and can be fruitful for future research on the diffusion of Internet-based technological systems.     

Consumer Acceptance of Cloud Computing

To date, little research has focused on the consumer's perspective of cloud computing acceptance. Thus, this article explores the drivers of voluntary consumer acceptance of cloud computing in a sample of Moroccan students. Results indicate that in addition to ease of use and perceived usefulness, structural trust is important for voluntary cloud computing acceptance. However, unlike prior studies, results indicate that perceived ease of use has a stronger effect on intention to use cloud computing, than perceived usefulness. The results of this study contribute to theory and provide strategies for cloud computing service providers to attract and retain individual consumers.