Understanding post‐adoption IS usage stages: an empirical assessment of self‐service information systems

Organisations have invested in self‐service information systems (IS) to provide a direct interface for service delivery. Enriching the usage of these systems can provide organisations with immense benefits. However, limited research has been directed towards understanding post‐adoption IS usage behaviour in general and specifically in the context of self‐service IS. This study proposes post‐adoption IS usage behaviour as a broader concept constituting feature level usage of IS, integration of IS in the work system and exploration of new uses of IS. We evaluate how the new conceptualisation can be used to classify users at different stages of self‐service IS usage. Further, we examine user perceptions that differentiate among the users situated at different self‐service IS usage stages. Data were collected in the context of a self‐service Web‐based IS to validate the post‐adoption IS usage constructs and to examine the proposed thesis. The newly developed conceptual structure and measures for post‐adoption IS usage behaviour exhibit strong psychometric properties. The analysis shows three distinct post‐adoption IS usage stages and highlights that usefulness, user‐initiated learning, ease of use, satisfaction and voluntariness of use differentiate users at the different stages of post‐adoption IS usage. The results show that these variables aggregate into value confirmation and learning orientation as two higher‐level concepts. Further, we evaluate the predictive efficacy of the research model in classifying users into different post‐adoption self‐service IS usage stages. Implications are drawn for future research.     

Extended conceptualisation of perceived usefulness: empirical test in the context of information system use continuance

A technology or an information system provides value to its users. Technology Acceptance Model (TAM) successfully operationalised such value as the degree that a system can improve users' job performance. The proposed construct, perceived usefulness, has been proved to be the most important factor for technology adoption. However, many scholars have called for further theoretical development to enrich this critical construct but not much effort has been put forward (Bagozzi, R.P., 2007. The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, 8 (4), 244–254; Benbasat, I. and Barki, H., 2007. Quo vadis, TAM? Journal of the Association for Information Systems, 8 (4), 212–218). To respond to this call on deepening the conceptualisation of perceived usefulness, this article argues that system usefulness can be formulated beyond job performance improvement and explores several additional usefulness constructs based on well-established management concepts and human need theory. The information system (IS) use continuance model (Bhattacherjee, A., 2001. Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25 (3), 351–370) has been adopted as the theoretical foundation of this study because certain types of system usefulness can be recognised only in a use continuance stage. The empirical results of the research have validated most of the proposed constructs. Significant contributions to research and practice are identified and discussed.     

Acceptance of text-mining systems: The signaling role of information quality

The popularity of the big data domain has boosted corporate interest in collecting and storing tremendous amounts of consumers’ textual information. However, decision makers are often overwhelmed by the abundance of information, and the usage of text mining (TM) tools is still at its infancy. This study validates an extended technology acceptance model integrating information quality (IQ) and top management support. Results confirm that IQ influences behavioral intentions and TM tools usage, through perceptions of external control, perceived ease of use, and perceived usefulness; top management support also has a key role in determining the usage of TM tools.     

Continuance of mHealth services at the bottom of the pyramid: the roles of service quality and trust

Continued usage of information systems (or, IS continuance) has proven to be a critical success parameter for ICT implementation at the top of the global economic pyramid. However, there are few studies which have explored continued IS usage at the bottom of the economic pyramid (BOP) though it represents the majority of the world’s population. To fill this knowledge gap, this study develops an mHealth continuance model at the BOP framing the impact of two post adoption expectation beliefs (i.e., perceived service quality and perceived trust). This study extends ECM (expectation confirmation model) perspective synthesizing the extant literature on continued IS usage, service quality and consumer trust. The proposed model was empirically tested within the context of mHealth (mobile health) services at the BOP, applying PLS (partial least squares) under a cross sectional study. The findings confirm that both perceived service quality and perceived trust have significant explanatory power under an integrated ECM providing superior prediction of continuance intentions. The study concludes by discussing conceptual contributions, practical implications, limitations and future research directions.     

The impact of IT outsourcing on information systems success

The objective of this research is to assess the impact of IT outsourcing on Information Systems’ success. We modeled the relationships among the extent of IT outsourcing, the ZOT (the Zone of Tolerance), and IS success. We justified our model using the expectancy–disconfirmation theory, the agency theory, and transaction cost economics, and we empirically tested it using structural equation modeling with responses from IS users. We found significant direct and indirect effects (through the service quality) of outsourcing on IS systems’ perceived usefulness and their users’ satisfaction. Whereas the extent of outsourcing is negatively related to the service quality and perceived usefulness, the ZOT-based IS service quality is positively related to the user satisfaction.     

Adoption of travel information in user-generated content on social media: the moderating effect of social presence

Travel patterns have gradually changed from group travel to individual travel. An increasing number of people acquire travel information through various types of media. One of the alternative information sources is social media, which enables users to exchange information among members. However, one of the characteristics of social media is information sharing, not information search, which involves both giving (i.e. posting) and taking (i.e. selective reading, forwarding, replying, linking, and liking) information. Compared to the ‘giving’ side of information-sharing research, less effort has been spent on the ‘taking’ side of information research. Therefore, we investigate travel information adoption in social media as well as how individuals communicate with each other. We use the elaboration likelihood model, which measures the impact of central (e.g. argument quality) and peripheral (e.g. credibility) cues on traveller information-sharing behaviour corresponding with social presence on social media. The results of an empirical analysis of 527 respondents, who were experienced in travel information adoption via social media, were examined. Our findings revealed that argument quality had a positive effect on perceived usefulness and source credibility positively affected perceived usefulness and social relationships. Perceived usefulness had a significant positive effect on social relationships. Both perceived usefulness and social relationships affected travel information adoption. Lastly, the levels of argument quality and source credibility perceived by social media members were found to differ according to the level of social presence.     

Determinants of software quality: A survey of information systems project managers

Software quality is important for the success of any information systems (IS). In this research, we find the determinants of software quality. We used five attributes for software quality: system reliability, maintainability, ease of use, usefulness, and relevance. By surveying 112 IS project managers, we collected data about their perceptions on the software quality attributes and their determinants. We arrived at six factors through exploratory factor analysis. We determined the individual factors that impacted the software quality attributes; for example, reliability is associated with responsiveness of IS department; ease of use is influenced by the capabilities of users and attitude of management; and usefulness is impacted by capabilities of IS department and responsiveness of IS department. We show that organizational factors are more important than technical factors in impacting software quality in IS projects. We provide implications of our research to practice and to future research.     

An empirical investigation of a modified technology acceptance model of IPTV

This study explores the factors influencing the adoption of IPTV, and tests the applicability of the technology acceptance model (TAM) in a new convergent technology. The behavioural constructs from TAM were tested for predicting user acceptance of IPTV. Structural equation modelling was used to analyse data and to design a theoretical model predicting the individual's intention to adopt IPTV. A modified TAM for IPTV proposes that new constructs determine user-perceived usefulness and enjoyment of using IPTV. Although this study confirms the impact of information quality and system quality on consumers' technology experience, it specifically shows that the perceived quality of content and system were found to have a significant effect on users' perceived usefulness and perceived enjoyment. In addition, social influences had a positive effect on the intention to use IPTV. These findings suggest an extension of the TAM model for convergence technologies. This research advances theory and contributes to the foundation for future research aimed at improving the understanding of users' adoption behaviour of convergence technologies. Implications of these findings for practice and research are examined.     

Predicting electronic service continuance with a decomposed theory of planned behaviour

Previous research suggests that an eventual information technology (IT) success depends on both its initial adoption (acceptance) and subsequent continued usage (continuance). Theory of planned behaviour (TPB) has been successfully used to predict users' acceptance of IT. Yet, this theory has not been applied to the context of continuance of IT. This paper examines post-adoption cognitive beliefs and factors influencing one's intention to continue using (continuance) electronic services (e-services). Decomposed theory of planned behaviour (DTPB) is adapted from social psychology and integrated with theoretical and empirical findings from prior information systems (IS) usage research to theorize a model of e-service continuance. Specifically, the research model decomposes the perceived behavioural control components of TPB into Internet self-efficacy and perceived controllability, the subjective norm component into social influences and interpersonal influence, and the attitude component into perceived usefulness, perceived playfulness, and perceived risk. Nine research hypotheses derived from this model are empirically validated using a field survey of Web-based tax filing service users. The results suggest that users' continuance intention is determined by Internet self-efficacy and satisfaction. Satisfaction, in turn, is jointly determined by interpersonal influence, perceived usefulness, and perceived playfulness.     

The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption

Social media websites have created valuable opportunities for electronic word of mouth (eWOM) conversations. People are now able to discuss products and services of brands with their friends and acquaintances. The aim of this study is to examine the influence of these conversations in social media on consumers' purchase intentions. For this purpose, a conceptual model was developed based on the integration of Information Adoption Model (IAM) and related components of Theory of Reasoned Action (TRA). The new model, which is named as Information Acceptance Model (IACM), was validated through structural equation modelling (SEM) based on surveys of 384 university students who use social media websites. The results confirm that quality, credibility, usefulness and adoption of information, needs of information and attitude towards information are the key factors of eWOM in social media that influence consumers’ purchase intentions. Theoretical and practical implications are discussed as well as recommendations for further research.     

eWOM source credibility,perceived risk and food product customer's information adoption

This study examined the relations between source credibility of eWOM (electronic word of mouth), perceived risk and food products customer's information adoption mediated by argument quality and information usefulness. eWOM has been commonly used to refer the customers during decision-making process for food commodities. Based on this study, we used Elaboration Likelihood Model of information adoption presented by Sussman and Siegal (2003) to check the willingness to buy. Non-probability purposive samples of 300 active participants were taken through questionnaire from several regions of the Republic of China and analyzed the data through structural equation modeling (SEM) accordingly. We discussed that whether eWOM source credibility and perceived risk would impact the degree of information adoption through argument quality and information usefulness. It reveals that eWOM has positively influenced on perceived risk by source credibility to the extent of information adoption and, for this, customers use eWOM for the reduction of the potential hazards when decision making. Companies can make their marketing strategies according to their target towards loyal clients' needs through online food- product forums review sites.     

Extending technology usage models to interactive hedonic technologies: a theoretical model and empirical test

Abstract. Much of our prior knowledge of information systems (IS) usage is based on utilitarian systems such as personal productivity software and organizational applications. However, new generations of systems, such as online video games (OVGs), have since emerged that aim at enhancing users' hedonic outcomes like entertainment rather than utilitarian outcomes such as productivity. Prior models of utilitarian system usage provide a limited understanding of one's usage of hedonic systems, given the motivational differences between using these two types of systems. Theoretical modifications instead are required to extend the current models to hedonic systems. Expanding the research on attitude theories, we propose an initial model for usage of interactive hedonic systems, replacing perceived usefulness and perceived ease of use with perceived enjoyment and social image as the core cognitive drivers of usage, and further linking these beliefs to different technological attributes. The initial model is empirically validated using a survey of OVG usage among 485 student subjects. For IS usage research, this paper proposes and validates one of the earliest usage models of hedonic systems. For practitioners, this study provides some guidelines for manufacturers of hedonic systems on how to derive the most return on their system development efforts.     

Why do teachers continue to use teaching blogs? The roles of perceived voluntariness and habit

The importance of teaching blogs motivates schools to adopt them. The value realized from these teaching blogs depends on teachers' ongoing participation and contribution, but limited research explains why teachers continue to use teaching blogs after their initial adoption. To promote teachers' continued usage of teaching blogs, it is important to know the underlying reasons. This study extended Bhattacherjee's expectation–confirmation model by adding two moderating effects (perceived voluntariness and habit) on the intention–usage relationship. Longitudinal data were collected from a survey questionnaire completed by 195 Taiwanese senior and vocational school teachers. The partial least squares model was used to test the measurement and structural models. The results indicate that confirmation has a direct effect on perceived usefulness, while satisfaction is jointly determined by perceived usefulness and confirmation. The continuance intention of teaching blogs is jointly determined by satisfaction and perceived usefulness, with 34% variance explained. The continued usage of teaching blogs is jointly determined by perceived voluntariness and habit, with 42% variance explained. The results also show that a higher level of perceived voluntariness for teaching blogs increases the effect of continuance intention on continued usage. However, habit does not moderate the intention–usage relationship. The implications for theory and practice, as well as suggestions for future research, are also discussed.     

An empirical examination of users' post-adoption behaviour of mobile services

Extant research has focused on the initial adoption and usage of mobile services and paid little attention to the post-adoption and continuance usage. However, unless users continue using mobile services, service providers cannot achieve success. Drawing upon the expectation confirmation theory, this research develops a mobile post-adoption model. The post-adoption behaviour includes three variables: continuance intention, recommendation and complaint. We conducted data analysis with partial least squares. The results indicated that expectation confirmation, perceived ease of use, perceived usefulness and usage cost significantly affect users' satisfaction, further determining their post-adoption behaviour. In addition, perceived usefulness has a direct effect on the continuance intention.     

The adoption behaviour of information technology industry in increasing business-to-business integration sophistication

A supply chain is not a linear type of inter-firm structure but is often considered as a network. Business networks are underpinned by the firms' resources, social legitimacy and associated power, which are also seen in the adoption theories of business-to-business integration (B2Bi) in the supply chain. However, there appears to be scarcity of the discussion on the theoretical relationship between them. This paper aims to enrich the previous findings of technology adoption theories in a business-to-business context by proposing a structural model and using Structural Equation Modelling approach to test it. It focuses on the integrated supply chain to test, analyse and extend the adoption factors to the use of computer-based information systems (IS). The survey data were collected in the Taiwanese Information Technology Industry. The path analyses indicate the answers for three issues raised from the research framework and confirm the associations between a firm's existing system support readiness and the network determinants outside organizational boundaries. Further, it identifies the interrelationships among these factors and indicates that some of them mediate the enterprises' behaviour on investments to increase current IS for B2Bi purposes.     

Usability, quality, value and e-learning continuance decisions

Previous research suggests that an eventual information technology (IT) success depend on both its initial adoption (acceptance) and subsequent continued usage (continuance). Expectancy disconfirmation theory (EDT) has been successfully used to predict users’ intention to continue using information technologies. This study proposed a decomposed EDT model to examine cognitive beliefs and affect that influence users’ continuance decision in the context of e-learning service. The proposed model extended EDT by decomposing the perceived performance component into usability, quality, and value. Research hypotheses derived from this model are empirically validated using the responses to a survey on e-learning usage among 183 users. The results suggest that users’ continuance intention is determined by satisfaction, which in turn is jointly determined by perceived usability, perceived quality, perceived value, and usability disconfirmation.     

Evolution of information systems research: Insights from topic modeling

Information systems (IS) research has continued to consistently evolve with the transitions in the IS discipline over time. There has been a general interest in the IS discipline over time as researchers have examined various aspects such as the intellectual core, diversity, and impact of IS research. On the basis of 2962 articles published in six leading IS journals between 2003 and 2017, topic modeling using latent semantic indexing was applied to author-supplied keywords. Topics such as IS development, IT adoption, and IS usage had endured over time; topics such as e-commerce and IT outsourcing had gained momentum and then waned over time; and topics such as social media, design science, and online communities have gained momentum in recent times. Results suggest that IS research has evolved considerably over time and generally included new frontiers while serving its core strength and identity.     

Dynamic model of online information quality perceptions and impacts: a literature review

This paper reviews the literature related to the concept of information quality (IQ) in the context of the online environment to understand how it has been conceptualised in the Information Systems (IS) literature, to identify gaps in the literature, and to make recommendations for future research. This study also extends the Information Processing Model (IPM) and proposes a novel dynamic model of online IQ perceptions and impacts. To understand the online IQ construct, an in-depth review of the literature is conducted. Overall, we reviewed 508 journal articles published between 1995 and 2016. This study found that there is a substantial gap in the IS literature in regards to a full understanding of the online IQ construct and its relation with the IPM. More research is needed to understand the way individuals process and respond to online information. Further, although the importance of context in theory development has been emphasised in the literature, very few empirical articles have explored the impact of contextual factors on the IPM as well as perceived online IQ. The findings provide online vendors with important guidelines that should be considered to motivate individuals to acquire more information from their websites that could lead to more satisfied and loyal users.     

Extending the two‐stage information systems continuance model: incorporating UTAUT predictors and the role of context

This study presents two extensions to the two‐stage expectation‐confirmation theory of information systems (IS) continuance. First, we expand the belief set from perceived usefulness in the original IS continuance model to include three additional predictors identified in the unified theory of acceptance and use of technology, namely effort expectancy, social influence and facilitating conditions. Second, we ground the IS continuance model in the context of transactional systems that involve transmission of personal and sensitive information and include trust as a key contextual belief in the model. To test the expanded IS continuance model, we conducted a longitudinal field study of 3159 Hong Kong citizens across two electronic government (e‐government) technologies that enable citizens' access to government services. In general, the results support the expanded model that provides a rich understanding of the changes in the pre‐usage beliefs and attitudes through the emergent constructs of disconfirmation and satisfaction, ultimately influencing IS continuance intention. Finally, we discuss the theoretical and practical implications of the expanded model.