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Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

The purpose of this paper is to explore technology acceptance and use behavior of IS innovations by entrepreneurs. To measure the perception of IS innovations by entrepreneurs the authors review unified theory of acceptance and use of technology and the entrepreneurial potential model, empirically compare the two models, develop a new model that integrates elements from the two models, and then empirically validate the new model (technology adoption decision and use (TADU)) in a technology acceptance context.

The data used to test the hypothesis are collected from 1,200 entrepreneurs in Malaysia. The research model was analyzed using structural equation modeling.

The results indicate that perceived desirability and perceived feasibility have significant effects on entrepreneurs’ intention to adopt and use innovations. Propensity to use is an important factor that has a significant effect on individual behavior. The precipitating events that happen in the time lag between intention and behavior will disrupt entrepreneurs’ inertia and induce a change in their behavior, encouraging them to seek the best opportunity available.

Understanding the individual, technological, and environmental factors that significantly affect IT adoption behavior can support policy makers in providing guidance on the adoption and usage of IT innovations by entrepreneurs.

This study proposes a TADU model with six core determinants of intention and usage – perceived desirability, perceived feasibility, performance expectancy, effort expectancy, social influence and facilitating conditions and two new moderators, precipitating events and the propensity to act.

There were numerous models that were developed with the explicit purpose of predicting the information system (IS) adoption behaviour. However, these models are criticized for the fact that they do not accurately capture the effect of external factors (unforeseen events) on individual intention, which may inhibit the act of adopting and using IS. The purpose of this paper is to investigate these external factors among entrepreneur(s) and measure how the individual's propensity to use affects the adoption and use of IS innovation. This paper will also attempt to investigate the key determinants of the adoption of IT innovation among entrepreneurs in Klang Valley, Malaysia.

Based on the research model, a questionnaire was developed, and data collected from entrepreneurs based in Klang Valley Malaysia. In all, 326 responses were collected, and the research model was applied using the structural equation modelling technique.

The performance expectancy and the propensity to act are salient determinants of behavioural intention to adopt and use IS innovation. An individual's pervasive decision to use IS innovations are strong factor that influences individual intention and behaviour prediction. Furthermore, precipitating events were determined to be the underlying factor that influences the behavioural intention for an adopter to actually adopt IS innovation(s). The finding(s) demonstrates that the probability of an intention actually translating into actual usage is higher if the precipitating events occur in their respective businesses.

It is important to evaluate this study's results and contributions in light of its limitations. This is an initial test for this model, and it should be subjected to further testing and refinement, particularly with regards to the precipitating events construct. One should be aware that an entrepreneur is exposed to various events and challenges that could involve their personal, family, career, and business life. Certain events related to these factors would impact the entrepreneurs differently, which might require different coping mechanisms. Future research should focus on the precipitating events related to their personal, family, career and business life, and which of these precipitating events are most prominently affecting their decision to actively use IS innovation.

End-users, particularly, as this study reveals, do prefer new IS innovation, but they may not use it as often. Thus, developers and or inventors of IS innovation need to understand factors that can influence users’ decision to adopt and use IS innovation. As for entrepreneurs, understanding factors that influence them to use IS innovation would enhance their sense on the relative importance of using the system. Furthermore, this study provides evidence concerning the role of precipitating events, which encourages or inhibits entrepreneurs towards IS related innovation adoption behaviour. This study makes clear that government policy and environmental factors, as well as work situation significantly influences an entrepreneur's intention in using IS innovation.

This study extends the Unified Theory of Acceptance and Use of Technology (UTAUT). Some aspects of the Entrepreneurial Potential Model are incorporated into UTAUT, with the express purposes of capturing external variables. Additionally, the role of the volitional aspect of an entrepreneur's intention towards IS innovation are also taken into due consideration. This model assist the researchers in measuring the effect of pervasive decision and external factors on technology acceptance, and will provide essential information that explains the promotion of IS innovation adoption, usage and hindrance.

As an application of self-service technology, automated parcel station (APS) is emerging as a logistics innovation to address the inefficiency and delivery failure in conventional home delivery. However, the long-term viability of APS depends on the consumers’ acceptance of such concept. In response, the purpose of this paper is to conduct a behavioural study on consumers’ adoption of self-collection service via APS.

By synthesising theoretical insights from the innovation diffusion literature and attitude theories, a conceptual model is developed and empirically validated. Perceived characteristics of APS are present to directly influence the consumers’ adoption intention, or indirectly through attitude. A total of 170 valid responses are collected from a survey conducted in Singapore and the data are analysed using structural equation modelling.

Consumers’ favourable attitude and perceived relative advantage of APS directly lead to stronger adoption intention. On the contrary, consumers’ perceptions on compatibility and trialability and on complexity indirectly influence their adoption intention via attitude, in a positive and in a negative way, respectively. Additionally, attitude is found to be the most influential factor contributing to consumers’ adoption intention.

The scope of this paper is limited to e-consumers’ initial adoption decision. Future research should examine the consumers’ adoption behaviour further down the innovation adoption process, such as continuance and commitment.

This research conceptualises and validates the consumers’ adoption behaviour of APS from a synthesised view of innovation diffusion and attitude theories, theoretically and empirically contributing to the field of study on logistics innovations from the consumers’ perspective.

The purpose of this paper is to examine the effects of privacy concerns and consumer innovativeness towards consumer's adoption of a technological innovation in the form of cloud computing technology.

A cross-cultural comparison between consumers in the USA and China is made through a study of consumers intending to adopt cloud computing services. A review of the technology innovation adoption literature forms the basis of the research propositions, which are based on the extant literature and focused on the innovative adoption behaviour of consumers. A comparative approach is taken to analyse the differences between US and Chinese consumers intending to adopt cloud computing services.

Findings suggest that there are more similarities than differences between US and Chinese consumers adopting cloud computing services. The survey suggests that the performance expectancy, perceived usefulness and perceived ease of use can help predict intention to adopt cloud computing services in both the USA and China, but consumer innovativeness is a better indicator in the USA than in China for consumers adopting technological innovations.

This paper is important for cloud service technology marketers by indicating how social influencers can influence consumer's usage of cloud computing by affecting their social network of friends and family. In addition, insight into how consumers adopt cloud computing by focusing on privacy concerns of personal information being shared can help future technology innovations enter the marketplace at a faster rate.

This paper fills the gap in the current technology marketing and innovation literature on how consumers adopt technological innovations and highlights the importance of increasing the perceptions of performance expectation of service innovations.

Pro-poor innovations are innovations targeted at economically poor consumers. These innovations have the potential to improve consumer wellbeing. However, while take up of some such innovations has been rapid (e.g., mobile phones) take up of others has been slower (e.g., fuel efficient stoves). What explains why some pro-poor innovations fail and some succeed? While the literature on consumer innovation adoption in economically wealthy countries is vast, there is very little literature in the context of the “bottom-of-the-pyramid” (BoP) and subsistence marketplaces. This chapter aims to begin answering this question through a review of the extant literature in the area of consumer innovation adoption, which is integrated with literature in the area of consumption within subsistence marketplaces and the BoP. A conceptual model is proposed which outlines key parameters for marketers and managers. The chapter closes by outlining implications and a future research agenda.

Developing green innovative services is critical to the restaurant industry to achieve significant benefits as well as environmental sustainability. This study aims to explore the mechanisms through which employees’ green involvement can foster green service innovation behavior.

The data set garnered from employees who worked in restaurants was used to test these mechanisms. A partial least square technique was conducted on this data set.

The results revealed the employees’ green involvement significantly influences their green service innovation intention, which subsequently influences their green service innovation behavior. Furthermore, information technology (IT) adoption was found to fortify the linkage of employee green involvement with green service innovation intention.

The results suggest to the restaurant industry that awareness of green service innovation and IT adoption practices can help restaurants to develop effective sustainability work practices and meet societal expectations.

This study extends the restaurant management literature by linking the green involvement of restaurant employees to green service innovation intention as well as identifying the moderating role of IT adoption underlying this link.

The purpose of this paper is to examine post‐adoption usage of the internet as a shopping channel. It aims to examine the effects of innovation attributes on post‐adoption shopping behaviours to determine whether factors predicting initial adoption will be effective in predicting post‐adoption. It also aims to examine the links between two usage patterns (purchasing experience product versus search product) and online shopping continuance. The paper also seeks to compare strength of identified links among innovation attributes, online purchase behaviors and online shopping continuance.

An online survey of a national sample of online shoppers identifies online purchase behaviours for search and purchase goods; data are analysed using structural equation modelling to test the proposed model and the hypotheses.

The analysis finds support for the proposed research model and indicates that experience product purchasing has the most salient effect on online shopping continuance. Innovation attributes predicting initial adoption do not play the same roles in post‐adoption usage.

The survey suffered from self‐selection and self‐reporting limitations normally associated with a panel sample.

Post‐adoption actual use behaviour is the most robust predictor of channel‐loyal shopping behaviour; therefore, focusing solely on improving online shoppers' favourable perceptions or positive attitudes toward shopping online might not be an efficient approach.

This research contributes to the marketing literature on consumer innovation diffusion by extending the consumer innovation adoption process to the post‐adoption context.

The paper examines the conditions under which the adoption of the Internet of Things (IoT) innovation is justified by business purposes. The purpose of this paper is to propose a methodology capable of guiding prudent and successful investment in the IoT. The paper identifies enabling conditions to maximize the success of IoT security innovation adoption projects in Italian banks.

The methodology proposed is constructed from two key sources: first a literature review and second through impressions gleaned from an informal survey and in-depth interviews with a sample of convenience of six managers of Italian bank security systems. A key purpose of the literature review is to identify enabling conditions for a successful IT innovation adoption project which is then synthesized into an “innovation adoption model” capable of illustrating an IoT adoption decision. Second, the authors identify business process reengineering (BPR) steps required to establishing an appropriate organizational and technical framework to successfully undertake the adoption of the IoT for bank physical security purposes. The resulting methodology refers to a typical BPR project approached from an information system development perspective capable of fusing IoT services with human-based services at best performance values.

The literature review and proposed BPR framework give indications of possible support for the conclusion that the banking sector is ready for the IoT innovations and transformation of traditional bank branch worksites into smart environments. The tentative nature of these findings give sufficient justification for trialing the IoT for banking physical security by introducing an Intelligent Protection System to manage security management processes. Although the authors do not generalize the findings from examining the Italian banking security system, the literature review and the paucity of studies available encourages us to investigate the use of the IoT for bank physical security more broadly.

Adoption of the IoT represents the third wave of IT-driven competition and introduces a methodology applicable to the security domain which represents, globally, an area that is becoming a domain of major economic and social concern. The IoT adoption model proposed reflects the current state of knowledge in the field and could be extended to other organizational at-risk areas requiring continuity of highly effective protection. The authors are encouraged by the results that indicate a high likelihood of success to trial an IoT introduction to banking security.

The use of information technology (IT) in the hospitality industry is driven by the need to improve and refine customer service. However, it is unlikely that new IT will be successfully implemented if employees' roles and emotions are overlooked. The purpose of this study is to examine the interplay of negative emotions (anger and fear), coping strategies (venting anger and psychological distancing), perceptions of an IT innovation and intention toward adopting it.

A research model is developed based on the cognitive appraisal theory of emotion, coping theory and innovation diffusion theory. An online survey was conducted among employees working for hotels that had deployed a new reservation system, and 234 responses were collected.

The results indicate that employees' negative emotions (anger and fear) have negative and significant effects on their perceptions of adopting a new reservation system through coping strategies (i.e. venting anger and psychological distancing). Furthermore, employees' perceptions of adopting an innovative reservation system have a positive effect on their adoption intention toward the system.

To the best of our knowledge, this is the first research to address the impact of distinct emotions on IT innovation adoption, as well as explaining the relation between affective and cognitive effects. The findings demonstrate the importance of examining negative emotions in IT innovation adoption. In addition, the model developed in this study confirms that an appraisal tendency approach better specifies the conditions under which different emotions are triggered to predict and explain how emotions relate to IT use through adaptation behaviors when compared with a valence-based approach.