User acceptance of media tablets: An empirical examination of perceived value

Media tablets have been one of the most innovative and popular mobile devices with the rapid development of mobile computing technology. The purpose of this study is to offer a clear understanding of the overall adoption processes by starting from the characteristics of a media tablet to adoption intention via perceived value. This study investigates the relationships between the value of media tablet (e.g., usefulness, enjoyment, social image, and risk) and the product characteristics (e.g., design, functionality, contents, brand, and price). Perceived benefits including perceived usefulness, perceived enjoyment, and social image seem to have a greater impact than the level of perceived sacrifice on perceived value. Perceived usefulness is the strongest factor determining adoption intention through perceived value. An innovative design affects social image, and brand name positively affects both perceived usefulness and social image. Functionality and content have a positive influence on both perceived usefulness and enjoyment. Price positively affects perceived risk. This research also finds that smartphone experience moderates the effect of perceived usefulness on perceived value, and personal innovativeness offsets the negative effect of perceived risk on perceived value as a moderator. These findings contribute a number of implications for academia and practitioners.     

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.     

The politics of new driving technologies: Political ideology and autonomous vehicle adoption

Autonomous vehicles (AVs) typify the nexus of smart Internet-based technology and prior innovations in transportation. A challenge with AV research is that the technology is not yet readily available for consumers to experience. Thus, public perceptions of AVs are often assessed through survey research which has uncovered demographic and socio-economic differences in the willingness to adopt and pay for AVs. It has also provided information about the perceived benefits and risks associated with AVs and how these perceived benefits and risks affects support for self-driving car technology. More recently, studies have found that political ideology is linked to perceived concerns about self-driving cars but have not yet assessed whether this link extends to the intent to adopt AVs. Given this gap in our knowledge, the contributions of the present paper our twofold. One, we will assess whether political ideology impacts the intention to adopt AVs. Two, we will assess whether political ideology directly or indirectly affects the intention to adopt AVs. As regards the latter, we will conduct a mediation analysis with a path model to assess the extent that political ideology indirectly affects the intention to adopt via the perceived benefits and concerns survey respondents expressed about AVs. Our results reveal political ideology is an important predictor of individuals’ intent to adopt AVs, as characterized by both willingness to ride in and to own AVs. Specifically, compared to conservative participants, moderates and liberals reported higher AV adoption intentions. We also find that the effect of political ideology on AV adoption intention is mediated by participants’ perceived benefits and concerns about AVs. Compared to conservatives, political moderates reported AV adoption intention via higher perceived benefits about AVs. Compared to conservatives, liberals reported higher AV adoption intention through both higher perceived benefits and lower perceived concerns about AVs.     

An integrated adoption model for e-books in a mobile environment: Evidence from South Korea

This study examines what factors lead to the adoption of the mobile e-book in South Korea. For this purpose, this research integrated the diffusion of innovation theory and technology acceptance model with the model of innovation resistance and applied this integrated model to the context of mobile e-book adoption. An online survey was administrated, and the data collected were analyzed with the structural equation model (SEM). Research results showed that individual innovativeness has a significant influence on perceived usefulness and perceived ease of use. It also revealed that both of perceived usefulness and perceived ease of use affect not only intention to use but also the innovation resistance. The innovation resistance has significant negative influence on the intention to use. Perceived risk of mobile e-books increases innovation resistance in a positive way. The implications of these results are discussed.     

Exploring factors affecting the adoption of mobile commerce in Singapore

M-commerce is defined as any direct or indirect transaction conducted and facilitated through a wireless telecommunication network. There are currently 94.9 million M-commerce users worldwide in 2003 and the segment is expected to grow to 1.67 billion by 2008. This research explores how Singaporeans are influenced to adopt the M-commerce. The research employs the Technology Acceptance Model (TAM) to examine factors affecting Singaporeans’ attitudes toward this emerging mobile technology and applications.The research uses a quantitative approach to survey 866 Singaporean students examining their decision-making process to adopt M-commerce. Empirical data from regression analyses reflect consumer perceived usefulness (PU) influence attitude toward using (AT) M-commerce. It is also found consumer innovativeness, past adoption behavior, technology cluster adoption, age, and gender affect their adoption behavior. Results from multiple regression analyses further reveal that male respondents tend to perceived M-commerce favorably.The majority of positive relationships between PU, PEOU, AT, innovativeness, adoption behavior, and demographics are supported by the empirical data. Results also support the applicability of TAM and its extension to examine M-commerce adoption by Singapore consumers. This research also validates the robustness of TAM to study emerging technologies outside the U.S. context.     

Crafting a smartphone repurchase decision making process: Do brand attachment and gender matter?

In this fast changing digital era, smartphones users tend to change their smartphones regularly. Therefore, retaining existing consumers has been a challenging task for smartphone manufacturer brands. Given the status quo in smartphone industry and deficiencies in smartphone research, this study proposes a model that integrates Expectation Confirmation Model and brand attachment to shed light on smartphone repurchase decision making process. Besides, gender differences are also accounted for in the model. This study employs a two-staged approach, namely PLS-ANN, in analysing the data collected from 510 existing smartphone owners. Partial least squares structural equation modelling was firstly engaged, and followed by artificial neural network analysis. Besides, a non-parametric partial least squares multi-group analysis has also been conducted to discover gender differences in such decision making process. The results suggest that brand attachment is the most influential and relevant driver of consumers’ intention to repurchase smartphones from current brand (measured by continuance intention). Moreover, male consumers are more sensitive to the influence of brand attachment in developing their satisfaction and continuance intention, while female consumers are relying more on perceived usefulness. Interestingly, perceived usefulness does not significantly influence male consumers in continuance intention development. Practical and theoretical implications are subsequently offered.     

Understanding behavioural intention to use information technology: Insights from humanitarian practitioners

The contemporary research in the area of individual technology adoption mainly focuses on commercial supply chains. However, limited research focuses on the context of humanitarian supply chains. This calls to develop structural models that can scrutinize the technology adoption behaviour of the users in the humanitarian context. Therefore, this study is an attempt to empirically examine the technology adoption behaviour of humanitarian organizations. It extends the unified theory of the acceptance and use of technology (UTAUT) model by integrating personal innovativeness and trust in technology with the behavioural intention to adopt technology in the humanitarian context. Data from 192 humanitarian practitioners, who have experienced a large number of disasters, is utilized to empirically validate the conceptual model. The structural equation modelling results show that - out of four constructs namely performance expectancy, effort expectancy, social influence and facilitating conditions under UTAUT - performance expectancy and effort expectancy significantly affect the IT adoption. Contrary to expectations, trust and personal innovation do not affect the behavioural intention. Also, personal innovation does not moderate the relationship between performance expectancy and effort expectancy. This underlines the need to foster a learning culture within these organizations. The efforts made by involved humanitarian organizations may be directed towards improving the level of education, skills and facilitating them with other resources such as appropriate IT and data mining training, so that the technology adoption becomes an integral part of their daily activities. Finally, detailed implications for humanitarian organizations are discussed.     

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.     

Ubiquitous use of mobile social network services

Smartphones are becoming increasingly penetrated among people. Social networking is one of the most popular applications that are being widely used through smartphones. The current research aims to understand Chinese users’ behaviour and identifies factors that impact intentions toward the usage of the social network services via handheld devices. By making use of Structural Equation Modelling technique based on a sample of 297 respondents, the research findings show that, technology acceptance model and its variants can only be used as an instrument to understand users’ adoption behaviour. The research findings reveal that mobility in concert with perceived ease of use, use context, and critical mass in concert with social influence impact users’ behavioural intention and usage significantly. Moreover, habitual behaviour of users plays a particularly important role toward the use of mobile social network services.     

Domain-specific innovativeness and new product adoption: A case of wearable devices

Wearable technology has recently started gaining mass market attention, but the actual adoption of the technology is not up to expectations. The current study examines the effects of consumers’ domain-specific innovativeness (DSI) on the adoption of wearable technology. In this study, consumer DSI is first conceptualized to have two dimensions namely, product-possessing innovativeness (PPI) and information-possessing innovativeness (IPI). The effects of PPI and IPI on perceived attributes of wearable technology (relative advantage, social image, aesthetics, and novelty) are then examined, which influence purchase intention. Exploratory and confirmatory factor analyses were conducted on a survey data from young consumers. Structural equation modeling was employed to evaluate the proposed research model. Results demonstrate that 1) the DSI construct must be examined in the two dimensions so that it can properly measure the nature and characteristics of DSI, 2) IPI plays an important role, having a positive effect on all four perceived attributes of IT innovations, 3) PPI has a positive effect on perceived social image and perceived novelty, and finally 4) all perceived attributes of IT innovations have a positive effect on consumers’ purchase intention of wearable devices. Implications for research and practice are discussed.     

Adoption of ERP systems: Does information transparency matter?

Research on the adoption of Enterprise Resource Planning (ERP) systems has drawn much attention in the information systems (IS) research. This study extends previous research on ERP adoption by examining the direct and indirect effects of perceived information transparency that result from the adoption of ERP systems. Based on the extensive review of literature grounded in the technology acceptance model and theory of reasoned action, a research model is proposed. The proposed model is validated by a survey of 106 ERP users. The results of this survey confirm that perceived information transparency of the ERP system has significant direct effects on perceived usefulness, ease of use, and indirect effects on attitude and adoption. Moreover, the perceived usefulness fully mediates the relationship between information transparency and the attitude toward using the ERP system. This study expands the existing body of knowledge on the adoption of ERP systems, and benefits ERP providers and vendors when formulating their business models.     

The effect of platform characteristics on the adoption of smart speakers: Empirical evidence in South Korea

The emerging market for smart speakers is growing rapidly. Unlike conventional information technology (IT) devices, smart speakers are becoming a major platform that access many types of information through a voice interface. This study examines the factors related to the adoption of smart speakers from the platform perspective. More specifically, our study investigated how the product related characteristics (e.g., functionality, design, brand, and price), platform related characteristics (e.g., perceived service availability, perceived network size, perceived complementarity) and privacy concerns affect the perceived value and intentions to adopt a smart speaker. The results indicate that platform related variables have a bigger impact on the customer adoption of the smart speaker, whereas product related variables, such as functionality, have less of an impact.     

移动电子支付方式消费者使用意愿探析

互联网的发展,移动商务的爆发式增长使消费者对移动电子支付产生了越来越强的依赖.随着新的市场参与者的加入,移动电子支付领域的竞争也越来越激烈.因此,探究消费者使用移动电子支付的影响因素显得犹为重要.基于技术接受模型(Technology Acceptance Model,ATM)和计划行为理论(Theory of Planned Behavior,TPB)影响消费者使用移动电子支付的因素有:感知有用性,感知易用性,兼容性,个人主观规范,感知风险和感知信任.通过实证调研得出如下结论:感知有用性,感知易用性,兼容性,个人主观规范和感知信任对消费者使用移动电子支付有正向影响;感知风险对消费者使用移动电子支付有负向影响.     

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.     

Examining the factors that influence early adopters’ smartphone adoption: The case of college students

The influence of early adopters on potential adopters’ decisions of whether or not to adopt a product is known to be critical. In this paper, we examine the factors that influence the adoption behavior of smartphone early adopters by looking at smartphone adoption behavior of college students, because a large portion of the early adopters of smartphones are college students. Our focus is on the effect of normative peer influence on a college student’s smartphone adoption. We also examine the influence of other factors such as self-innovativeness, self-efficacy, the decision maker’s attitudes towards a product, financial burden of using the product, familial influence, and other demographic factors (e.g., age and gender). College students’ adoption behavior is studied using logit and probit choice models developed based on random utility theory. The discrete choice models are empirically estimated using survey data. We find important influence of friends, financial burden, and other family members on the smartphone adoption of college students who adopted smartphones earlier than other students.     

Integrating guanxi into technology acceptance: An empirical investigation of WeChat

Social influence is an important research topic in the technology acceptance literature, in particular for social media. Prior empirical studies have for the most part employed social influence theory to investigate user intentions to continue with social media, while culture driven theories have been neglected. Rather than using social influence theory, we introduced guanxi theory to explore how guanxi social mechanisms (or processes) influence Chinese users’ continuance intentions in WeChat. Specifically, we developed a model that examines the role of guanxi as manifested by renqing, mianzi and ganqing in perceived usefulness, perceived enjoyment and continuance intention in WeChat. A survey research method was adopted to test the proposed hypotheses. This study found that ganqing has a positive impact on perceived usefulness and continuance intention. Mianzi exerts a negative effect on continuance intention but exhibits a positive effect on perceived usefulness. Renqing was found to have no significant impact on perceived usefulness and continuance intention. Our study advances the Technology Acceptance Model (TAM) by introducing guanxi-based constructs in a Chinese mobile social-messaging application context. Our study also offers alternative insights on guanxi-based social influence processes in the Chinese technology acceptance literature.     

Starring in your own Snapchat advertisement: Influence of self-brand congruity,self-referencing and perceived humor on brand attitude and purchase intention of advertised brands

Snapchat geofilter advertisements use augmented reality (AR) technology to place consumers in photographs embellished with branded content. This study examined the joint influence of self-brand congruity, self-referencing and perceived humor in these self-endorsed geofilter brand advertisements on consumers’ brand-related preferences. Results revealed that self-brand congruity, self-referencing and perceived humor exerted significant main effects on consumers’ post-use brand attitude and purchase intention. Self-brand congruity also significantly interacted with self-referencing and perceived humor to affect brand attitude and purchase intention, while self-referencing significantly interacted with perceived humor to affect purchase intention, but not brand attitude. Theoretical and managerial implications of the research are discussed.     

Effects of environmental uncertainty on organizational intention to adopt distributed work arrangements

Uncertainty in the external environmental context has been shown to affect organizational change and innovation. Distributed work arrangement is an organizational innovation that has the potential to enable a firm to meet the challenges of an uncertain environment more effectively. With the emergence of virtual organizations, such work arrangements are likely to gain increasing popularity. This exploratory empirical study employs a structural model to examine how environmental uncertainty affects organizational predisposition (adoption intention) toward distributed work arrangements. Environmental uncertainty has two different dimensions: environmental complexity (heterogeneity) and environmental variability (dynamism). In this paper, environmental dimensions are modeled to influence adoption of distributed work arrangements through shaping the organizational perceptions of three innovation characteristics: perceived relative advantage, compatibility and complexity. Data analyses using partial least squares statistical technique revealed that environmental complexity is negatively associated with perceived relative advantage, and perceived compatibility. Perceived relative advantage and perceived compatibility are in turn positively related to adoption intention for distributed work arrangements. However, environmental variability has no significant effect on the three innovation characteristics. Contrary to past findings that suggest organizations are more predisposed toward innovations in a complex environment, our study found that organizations in an environment of lower, rather than higher complexity are more likely to adopt distributed work arrangements. Implications for organizations are discussed.     

An Integrated Adoption Model of Mobile Cloud Services: Exploration of Key Determinants and Extension of Technology Acceptance Model

This study identifies and investigates a number of cognitive factors that contribute to shaping user perceptions of and attitude toward mobile cloud computing services by integrating these factors with the technology acceptance model. A structural equation modeling analysis is employed on data collected from 1099 survey samples, and results reveal that user acceptance of mobile cloud services is largely affected by perceived mobility, connectedness, security, quality of service and system, and satisfaction. Both theoretical and practical implications of the study’s findings are discussed.