“Nobody ever got fired for buying IBM,” was a widely used cliche in the 1970s in the corporate IT (information technology) world. Since then, the traditional process of purchasing software has dramatically changed, challenged by the advent of open source software (OSS). Since its inception in the 1980s, OSS has matured, grown, and become one of the important driving forces of the enterprise ecosystem. However, it has also brought important IT security risks that are impacting the OSS IT adoption decision-making process. The recent Heartbleed bug demonstrated the grandeur of the issue. While much of the noise relates to the amplification of perceived risks by the popular mass media coverage, the effect is that many enterprises, mainly for risk reasons, have still chosen not to adopt OSS. We investigated “how do information security related characteristics of OSS affect the risk perception and adoption decision of OSS” by conducting an online survey of 188 IT decision-makers. The proposed Open Source Risk Adoption Model offers novel insights on the importance of the perceived risk antecedents. Our research brings new theoretical contributions, such as understanding the perceived IT security risk (PISR) relationship with adoption intention (AI) in the OSS context, for researchers and important insights for IT information professionals. We have found that IT security risk has a significant role in OSS adoption intention. Our results offer possible future research directions and extend existing theoretical understanding of OSS adoption.

‘E-government’ is an extremely interesting research field, with numerous academic and practical implications. Its empirical investigation gives rise for significant observations, since the existing international literature offers several research gaps. The aim of the present study is twofold: (a) to develop an original conceptual framework (research model) examining the factors that have an impact on the intention to use of e-government services, (b) to empirically test that framework, using primary data collected from non-adopters of e-government located in Greece. The proposed framework is tested using data collected with a newly-developed structured questionnaire in a sample of Greek internet users. The ten independent factors incorporated into the proposed research framework are measured with a series of questions (items) which have been adopted from various other studies found in the international literature. The empirical data are analyzed using the ‘Structural Equation Modeling’ technique. The main findings suggest that Perceived Usefulness, Peer Influence, Computer Self-efficacy, and Perceived Risk are the main factors affecting the intention of non-users to use e-Government services.

– The purpose of this paper is to predict e‐procurement adoption through integrating the constructs of the technology acceptance model and the theory of planned behaviour., – A structural equation modelling is conducted through the analysis of 316 usable questionnaires., – The results show that the proposed model has good explanatory power and confirms its robustness, with a reasonably strong empirical support, in predicting users' intentions to use e‐procurement technology. Behavioural intention toward e‐procurement technology is mainly determined by user's attitude and additionally influenced by perceived usefulness and subjective norm., – The paper provides procurement system developers and managers with a useful adoption model that demonstrates the significance of perceived usefulness of e‐procurement system in influencing the adoption decision. This highlights the importance of maximizing the benefits of e‐procurement system for potential users to facilitate the adoption process., – System developers and procurement managers should also consider the role of social influences, such as these from supply chain partners, in the adoption process and how such influences may facilitate or inhibit e‐procurement adoption process., – The paper is the first study that examines e‐procurement adoption in the United Arab Emirates. Also, the findings allow us to understand the importance of both technology‐related aspects and social influence in e‐procurement adoption.

– The purpose of this paper is to examine the employed jobseekers' perceptions and behaviours of third‐party e‐recruitment technology adoption in Malaysia., – Using the validated modified Technology Acceptance Model (TAM) without the attitude construct as the core research framework and identifying Perceived Privacy Risk (PPR), Performance Expectancy (PE), Application‐Specific Self‐Efficacy (ASSE), and Perceived Stress (PS) as key external variables that form the research model for the study of e‐recruitment technology adoption., – The results identify few key determinants to this technology adoption. Moreover, the weak evidence of the behavioural intention indicates that e‐recruitment has not replaced some of the conventional recruitment methods., – The study implies that the third party e‐recruiters' policy makers and human resources practitioners need to improve the e‐recruitment system and services to attract these “passive” talented groups of candidates for employment., – The paper provides an insight for human resources practitioners on the effective use of third‐party e‐recruitment service provider and the strategy to attract employed jobseekers for employment.

– The purpose of this paper is to examine the different factors affecting purchase intention of cloud computing services in Turkey and the USA. , – A research framework is developed based on social cognitive theory and the technology acceptance model. A survey questionnaire is used based on student responses in Turkey and the USA to see if there are any differences toward purchase intentions. , – A majority of the research hypotheses are supported in both the Turkish and USA sample indicating that there are similarities in perceived ease of use, perceived usefulness, consumer innovation and performance expectancy toward cloud computing. , – The findings of this research have implications for technology companies and marketers operating in North America, Europe and Asia. , – As few studies exist on the differences between purchase intention of technological innovations in the USA and Turkey, this paper contributes to a better understanding of whether cultural differences or consumer attitudes effect adoption of emerging technologies including cloud computing services. , – This paper focusses on the emerging technological innovation of cloud computing services by examining antecedent environmental factors influencing purchase intention. In total, two different country samples are utilized to gain a better international perspective of the reasons why consumers purchase technological innovations.

– The purpose of this paper is to examine the causal associations among service innovation/improvement, organisational citizenship behaviour (OCB), and the user-perceived value of e-services. The context of service delivery is particularly based on human interaction in e-service encounters. , – In total, 403 respondents from 53 different service departments were selected in this study. To fit the structure between respondents and departments, this study uses hierarchical linear modelling to examine the research model. , – The results indicate that service innovation/improvement and the OCB of department staff both positively affect the user-perceived value of e-services. However, the OCB of department staff does not have a moderating effect on the association between service innovation/improvement and the user-perceived value of e-services. , – Prior studies suggest that the OCB of service employees strongly reinforces customer perceptions of service quality and satisfaction. However, this causal association was proven in the context of face-to-face human interactions. This study is a pioneer study in examining the associations between OCB and human interaction with e-services.

– The purpose of this paper is to examine how user-perceived video quality, measured by computer assisted web survey, interacts with content richness (CR) and interactivity (IA). It also analyzes how those internet protocol television (IPTV) idiosyncrasies impacts audience perceptions (perceived usefulness (PU) and perceived resistance (PR)) and actual subscriptions. , – A computer assisted web survey was administered in Korea to collect data. A structural equation model and Z-test analyses were conducted to address the research hypotheses. , – User-perceived video quality influences audience perceptions (PU and PR) through interaction with CR and IA. Subscriber perceptions have a causal relationship with IPTV subscriptions. , – Balanced improvement of the IPTV value chain, from content to technical (platform, network, and terminal) perspectives, are necessary for IPTV diffusion. Also, IPTV providers should establish the diffusion strategies, minimizing the user-perceived restrictiveness as well as maximizing the PU. , – This study shows computer assisted assessment of video quality can be applied to behavior science. The research model suggests PR, which has been relatively unnoticed is included in existing technology acceptance theories. The introduced antecedents of IPTV subscriptions can be referred to as key performance indicators regarding new media adoption studies.

– Despite the significant efforts by the Thai Government to promote the use of mobile payment (m-payment) services, this new mode of financial payment has had limited consumer interest. Indeed, whilst it is seemingly desirable to facilitate the uptake of m-payment services given government promotion, limited research has been undertaken to examine the factors that might promote adoption. The purpose of this paper is to address this research gap. , – The study developed a conceptual model based on elements of innovation diffusion theory and technology acceptance. The model was empirically validated using structural equation modelling analysis using the responses gained from 529 Thai mobile phone users. The intercept interview/survey across eight different locations was the instrument used for data collection. , – The empirical results indicate that consumer adoption of m-payment services in Thailand was determined by four factors – compatibility, subjective norm, perceived trust, and perceived risk. Surprisingly, the construct of perceived usefulness, perceived ease of use, and perceived cost were found not to have a direct effect on behavioural intention. , – The results regarding electronic payments highlight the importance of four factors that are fundamental in understanding consumer behaviour in regards to financial m-payments. The conceptual model developed in the study is well suited as a primary research framework to explore other aspect of technological innovation in a Thai context. Even though the model is not generalisable, it has the potential to be refined for use in other countries. The findings from the research contribute to the small, but growing number of studies focusing on technological business innovation in Thailand. , – The results of this study will be of value to various groups associated with m-payment services such as mobile network operators, financial institutions, and payment service providers. The findings will potentially inform appropriate service strategies and business models in order to improve the uptake of this type of financial payment by Thai consumers. The factors identified are significant in informing how the capacity of the Thai Government’s investment in electronic infrastructure could be more fully utilised. , – This study adds to the literature by bridging the gap in explaining consumer intentions to adopt new technological services amongst people who know about the service but have not adopted it as yet. Moreover, this paper is a pioneer study about the adoption of m-payment services in Thai setting.

ii Acknowledgements iv Dedication vi List of Tables x List of Figures xi

ii A Framework For e-Government Success from the User’s Perspective

Within the securities trading industry recent technological innovations enable Institutional Investors to self-directed trading and thus lead to a reassessment of their intermediation relationships. This may yield to an in-sourcing of trading activities by buy-side organization. Scientific literature outlines advantages and disadvantages of some of them but no empirical investigations are reported concerning drivers for the adoption or refusal of such innovations. Against the background of the increasing market share of technologies, such as Algorithmic Trading, this conceptual paper introduces a model that aims at closing this gap, by identifying the drivers and inhibitors for the adoption of new technology-based execution opportunities. To account for the organizational context of the survey and the meta-character of the innovation, the model incorporates the following modifications of TAM: First, a generalization towards TRA and TPB in order to account for competitive pressure and inhibitors. Second, the integration of TTF, as it is said to exhibit better results for work-related tasks and thus enables the model to account for the fit between the technology and the given task requirements. Finally, a perceived risk construct is added, as in an organizational context the adoption of innovations is associated with risks.

With the total quantity of data doubling every two years, the low price of computing and data storage, make Big Data analytics (BDA) adoption desirable for companies, as a tool to get competitive advantage. Given the availability of free software, why have some companies failed to adopt these techniques? To answer this question, we extend the unified theory of technology adoption and use of technology model (UTAUT) adapted for the BDA context, adding two variables: resistance to use and perceived risk. We used the level of implementation of these techniques to divide companies into users and non-users of BDA. The structural models were evaluated by partial least squares (PLS). The results show the importance of good infrastructure exceeds the difficulties companies face in implementing it. While companies planning to use Big Data expect strong results, current users are more skeptical about its performance.

With the total quantity of data doubling every two years, the low price of computing and data storage, make Big Data analytics (BDA) adoption desirable for companies, as a tool to get competitive advantage. Given the availability of free software, why have some companies failed to adopt these techniques? To answer this question, we extend the unified theory of technology adoption and use of technology model (UTAUT) adapted for the BDA context, adding two variables: resistance to use and perceived risk. We used the level of implementation of these techniques to divide companies into users and non-users of BDA. The structural models were evaluated by partial least squares (PLS). The results show the importance of good infrastructure exceeds the difficulties companies face in implementing it. While companies planning to use Big Data expect strong results, current users are more skeptical about its performance.

With the recent increase in online purchases, organizations have been able to improve their capacity to collect, store and profit from personal and financial data gathering. Online purchases occur in an environment characterized by higher risk levels surrounding the transaction. Several payment strategies can be applied in order to mitigate the consumers’ perceived risk and increase trust levels. The present study intends to understand how the presence of internet seals of approval and the reputation of the payment provider impact consumer trust and online payment perceived risk. Four randomized experimental setups were used to manipulate the independent variables, on a sample size of 324 valid responses. The majority of participants were between 18 and 35 years old. The study results demonstrate that new online vendors could mitigate these variables by investing in a payment strategy that combines the presence of internet seals of approval logos together with the presence of payment providers with low reputation.

With the rapid development of mobile technologies in contemporary society, China has seen increased usage of the Internet and mobile devices. Thus, mobile payment is constantly being innovated and is highly valued in China. Although there have been many reports on the consumer adoption of mobile payments, there are few studies providing guidelines on examining mobile payment adoption in China. This study intends to explore the impact of the facilitating factors (perceived transaction convenience, compatibility, relative advantage, social influence), environmental factors (government support, additional value), inhibiting factors (perceived risk), and personal factors (absorptive capacity, affinity, personal innovation in IT (PIIT)) on adoption intention in China. A research model that reflects the characteristics of mobile payment services was developed and empirically tested by using structural equation modeling (SEM) on datasets consisting of 257 users through an online survey questionnaire in China. Our findings show that perceived transaction convenience, compatibility, relative advantage, government support, additional value, absorptive capacity, affinity, and PIIT all have a positive impact on adoption intention, while social influence has no significant impact on adoption intention, and perceived risk has a negative impact on adoption intention. In addition, the top three factors that influence adoption intentions are absorptive capacity, perceived transaction convenience, and additional value.

With the rapid development of information and communication systems, mobile applications have emerged as a valuable resource. Recently, tourism has become a potential area for development and use of mobile technology. Many theme parks have launched applications (i.e., apps) to enhance customers’ travel plans. Theme park Wait Time Apps (WTA) are designed to help park visitors save time while waiting in lines, which help make park visits more efficient and fun. Therefore, the acceptance of WTA by customers is essential to the successful implementation of WTA. The purpose of this study was to examine the adoption of WTAs based on user’s perceptions by including both gain and loss factors influencing customers’ perceived value on behavioral intention to use WTA. Six variables: (1) perceived information quality; (2) perceived wait time; (3) enjoyment; (4) perceived risk; (5) perceived fee; and (6) perceived difficulty) were proposed to influence the relationship between perceived value and intention to use WTAs. Structural Equation Modeling (SEM) was used to test the research model. Findings of the study revealed that perceived risk and perceived fee had a significant impact on intention to use, and significant differences were also found between WTA users and WTA non-users on their behavioral intention to use any WTAs in the future. From a theoretical perspective, this study serves to fill a gap in the literature by providing an initial empirical prediction of the influence of theme park WTA adoption. From a practical perspective, this study may be helpful to theme park executives to understand user perceptions regarding: (a) utilizing WTAs to determine perceived value (perceived risk and perceived fee); and (b) implementing WTAs to attract more visitors. The finding of this study

With the proliferation of online social networks, understanding how and why individuals adopt and use online social networks can help managers and marketers to design better methods and approaches towards engaging users of these kinds of networks. The purpose of this study is to investigate the determinants of user acceptance of online social networks, with particular attention given to a research model incorporating the variables of privacy concern and social influence into the Technology Acceptance Model (TAM). The enhanced model, tailored to the unique characteristics of online social networks, will be tested via a survey study.

With the increasingly aging population and the advances in information technology (IT), cloud service has become an important health informatics topic. Cloud-based healthcare services have significant potential to enable the elderly to live independently and to access health-care services with ease. Despite this potential, there are gaps in our understanding of how the elderly decide to use such services. A field survey was conducted in Taiwan to collect data from the elderly, and the structural equation model was used to examine the data. The results indicated that attitude, subjective norm, perceived behavioral control, perceived risk, and trust are key determinants in the elderly’s usage intentions. The results also indicated that perceived risk and trust integrated with the theory of planned behavior (TPB) model provides an improved method for predicting the elderly’s intentions to use cloud-based health-care services. Finally, the implications of this study are discussed.

With the growth of product search engines such as pricegrabber.com, Web vendors have many more casual visitors. This research examines how Web vendors may foster “swift trust” as a means to convert casual visitors to paying customers. We examine whether perceptions of Web sites’ appearance features (normality, social presence and third-party links) and functionality features (security, privacy, effort expectancy and performance expectancy) positively relate to swift trust in a Web vendor. Using a quasi-experimental research design, we empirically test the proposed relationships. Based on an analysis of 224 respondents, we found appearance and functionality features explained 61% of the variance in swift trust. The article concludes with a discussion of findings and implications.

With the exponential rise of the technological advances, service firms adopt Self-Service Technologies (SSTs) as their innovative weapons to create value. Much research has focused on customers' perspectives of adopting SSTs, i.e., determinants of SST adoption, attitudes and intentions toward use. Yet, studies on organisational adoption of SST, its post-adoption usage, and its organisational impact have been little explored. This paper conceptually explores the determinants of SST adoption and its post-usage impact from a focal company perspective considering the nomological network of SST adoption. Implications as well as future research opportunities are provided.