An empirical study of managers’ usage intention in BI

In a changing business environment, data within and around organizations rapidly accumulate. In recent years, many organizations have implemented business intelligence (BI) to manage and refine the vast stocks of data. The effective use of BI can support managers to make faster and better decisions. The goal of this study is to investigate how to increase a manager’s intention to read information and to create reports. Based on the technology acceptance model, a research model is developed and tested to assess the factors (i.e., usefulness and ease of use) affecting a manager’s intention to use BI. In addition, the relationship between the intention to read information and the intention to create reports is linked using Dholakia and Bagozzi (D&B) model. A survey of 271 managers supports the proposed model. The empirical results show that the usefulness of BI directly and indirectly affects the intention to read information. Both the reading and creating interfaces of BI affect the intention to read information and the intention to create reports, respectively. The intention to read information positively and significantly affects the intention to create reports. Given the empirical findings, this study provides theoretical and managerial insights for organizations and managers.     

Distinguishing the adoption of business intelligence systems from their implementation: the role of managers’ personality profiles

For decades, the marketing guidelines of enterprise software providers have focused on those managers who are likely to be more innovative in adopting new information systems. The current study argues that this approach demands improvements for two reasons: (1) this tactic may be biased, since past studies have only examined the single trait of innovativeness and its impact on an individual adoption intention and (2) the organisational implementation intention might be more important than the individual adoption intention, but the former has been largely ignored in the existing literature. Based on the case of business intelligence (BI) systems and data from 62 senior managers, this study is a pioneer in that it empirically reveals that managers’ individual adoption intention is distinct from their organisational implementation intention. Further, while managers’ innovativeness may be a significant determinant of their individual adoption intention towards BI systems, the issue of whether managers actually implement BI systems in their organisations is dominated by their involvement characteristics. Fruitful suggestions are proposed for practitioners and scholars.     

Turnover Intention of Technology Professionals: A Social Exchange Theory Perspective

Retaining skilled professionals is a critical concern for organizations because employee turnover can affect the quality of service provided by the organization and create considerable expense. Using a framework of social exchange theory, this study develops a model to investigate the interrelationships between turnover intentions, organizational commitment, and constructs of particular importance to information technology (IT) professionals. Field survey data from a large US federal agency empirically test these associations. The results confirm that IT professionals’ perceptions of their skill obsolescence, work overload, and the fairness of the rewards they receive directly influence their organizational commitment. Furthermore, their organizational commitment, perceived work overload, and fairness of rewards significantly affect turnover intention. Employees’ commitment toward the organization is an essential mediator between the perception that their skills are becoming obsolete and intention to leave the organization. Implications of these results for literature and practice are discussed.     

Understanding continuance intention of knowledge creation using extended expectation–confirmation theory: an empirical study of Taiwan and China online communities

Grounded on expectation–confirmation theory (ECT), this study proposes an integrated model aiming to understand how participants' continuance intention of knowledge creation and satisfaction are affected by their perceived identity verification (PIV) and performance expectancy in an online community. To assess the theoretical model, we surveyed two online communities – Baidu (China) and Yahoo knowledge+ (Taiwan), including 213 and 216 useable responses, respectively. Both PIV and performance expectancy are positively associated with continuance intention of knowledge creation. In Baidu community, satisfaction is affected either directly by performance expectancy or indirectly by PIV (through performance expectancy). Our findings have implications for both practice and theory.     

Managing sustainability with the support of business intelligence: Integrating socio-environmental indicators and organisational context

In this paper we explore how management of sustainability in organisations can be supported by business intelligence (BI) systems. We suggest that BI has an important role to play in helping organisations implement and monitor sustainable practices. We pay particular attention to one phase of any BI project, the information planning phase, i.e., the systematic way of defining relevant information in order to integrate it in reporting activities. Using grounded theory, the main contribution of our study is to propose a conceptual model that seeks to support the process of integration of socio-environmental indicators into organizational strategy for sustainability.     

Introducing social media for knowledge management: Determinants of employees’ intentions to adopt new tools

Although an increasing number of organizations implement social media as means to enhance internal knowledge exchange, employees are in many cases not motivated to make use of new technologies. Therefore, the purpose of this study is to identify antecedents of employees’ intentions to adopt social media for knowledge exchange. Measured factors were derived from expectancy theory and technology acceptance model. To identify factors influencing the willingness to seek and contribute knowledge using social media, in this study N = 315 employees within one organization were surveyed. The results clearly support the predictions: the interplay between the importance and deficits concerning knowledge exchange, perceived usefulness of social media for knowledge exchange, and experience in social media use jointly affected the intention to apply social media for knowledge exchange after their implementation.     

Can mobile TV be a new revolution in the television industry?

The development within the mobile communications industry has provided a new mechanism for individuals to watch television programs via mobile device, known as mobile television (m-TV). Considering that m-TV is an emerging technology among traditional television services where critical success factors depend on user-centered, it is important to understand users' behavioral intention (BI). Unlike previous studies which have mainly focused on flow experience, perceived value, motivation and social cognitive theories, this study examines user-centered factors of technology readiness (TR) and technical support and training (TST). Therefore, 244 valid data were tested using partial least squares structural equation modeling (PLS-SEM) to measure both reflective and formative constructs based on the proposed framework. Findings reported that performance expectancy (PE), effort expectancy (EE) and TST have a positive and significant impact on BI. TR however has a negative relationship with BI. In addition, TR was also found to influence PE and EE. Similarly, TST has a direct effect factor on EE and EE was a significant determinant of PE. The findings of this study not only provide guidance for future researchers, but also valuable insights for designers, marketers and system providers of m-TV to tailor their services in the near future.     

Towards an understanding of the role of business intelligence systems in organisational knowing

Recent advances in information technology (IT), such as the advent of business intelligence (BI) systems, have increased the ability of organisations to collect and analyse data to support decisions. There is little focus to date, however, on how BI systems might play a role in organisational knowledge creation – in organisational knowing. We develop a conceptual framework of organisational knowing based on a synthesis of the literature, and use this as a framework to investigate how BI systems facilitate knowing in a case organisation. We identify two practices triggered by BI systems that distinguish them from prior applications of IT: the ability to initiate problem articulation and dialogue, and that of data selection (e.g. to address information needs of organisational decision makers at different managerial levels). This study provides empirical evidence of the performative outcome of BI systems in relation to organisational knowing through the practices of articulation and data selection. It provides a practice perspective on BI and focuses on the role of BI systems in organisational knowing thereby opening up a new departure for BI research that considers the implications of BI systems in organisations with actual practice in mind.     

Determinants of knowledge seeking in professional virtual communities

As knowledge management systems within organisations, professional virtual communities (PVCs) are popular knowledge-seeking tools, which bring together geographically dispersed members from outside of the organisations. An increasing number of employees use PVCs for knowledge seeking, knowledge exchange and problem solving at work. Why do members choose to receive knowledge from other community members in PVCs needs to be understood. This paper extends Ajzen's [1991. The theory of planned behaviour. Organizational Behavior and Human Decision Processes, 50 (2), 179–211] theory of planned behaviour to elicit external beliefs in terms of personal motivation, as well as technological and social factors, and to examine the relative importance of these factors. According to this study's online survey of 323 members in three PVCs, the results show that the significance of beliefs, such as system quality, compatibility, trust, knowledge growth and knowledge quality, in creating positive attitudes towards knowledge seeking. Community identification is shown as a salient belief for the subjective norms of knowledge seeking. System quality and resource availability are revealed as important determinants for perceived behavioural control of knowledge seeking. Knowledge-seeking intention is based on the attitude towards knowledge seeking and the subjective norm of knowledge seeking, whereas knowledge-seeking behaviour is solely determined by knowledge-seeking intention. Implications for research and practice are discussed.     

Understanding behavioral intention to use a cloud computing classroom: A multiple model comparison approach

Cloud computing is an innovative information technology that has been applied to education and has facilitated the development of cloud computing classrooms; however, student behavioral intention (BI) toward cloud computing remains unclear. Most researchers have evaluated, integrated, or compared only few theories to examine user BI. In this study, we tested, compared, and unified six well-known theories, namely service quality (SQ), self-efficacy (SE), the motivational model (MM), the technology acceptance model (TAM), the theory of reasoned action or theory of planned behavior (TRA/TPB), and innovation diffusion theory (IDT), in the context of cloud computing classrooms. This empirical study was conducted using an online survey. The data collected from the samples (n = 478) were analyzed using structural equation modeling. We independently analyzed each theory, by formulating a united model. The analysis yielded three valuable findings. First, all six theoretical models and the united model exhibited adequate explanatory power. Second, variance explanation, Chi-squared statistics, effect size, and predictive relevance results revealed the ranking importance of the theoretical models. Third, the united model provided a comprehensive understanding of the factors that significantly affect the college students’ BI toward a cloud computing classroom. The discussions and implications of this study are critical for researchers and practitioners.     

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.     

Experience differences and continuance intention of blog sharing

Although many studies focus on information sharing in communities and organisations, little research has been carried out on the antecedents of continuance intention of blog sharing. This study focuses on amateur blogs, which are the major customers for blog service providers (BSPs). The purposes are to investigate the antecedents of continuous blog sharing and determine whether they change with gender, age, and blog experience differences. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT) framework and related social-psychological foundations, this study proposes outcome expectancy of financial capital, knowledge capital, and social capital, perceived usability, social influence, self-disclosure, and information literacy as the antecedents of continuous blog sharing. A survey of 268 blog authors reveals that usability is a necessary condition for continuous blog sharing. Outcome expectancy for knowledge capital and social capital can encourage continuous sharing behaviour, but expectancy for financial capital does not. Meanwhile, blog sharing is primarily a personal endeavour facilitated by inner self-disclosure, not extrinsic information literacy or social influence. In addition, the antecedents differ according to gender, age, and blog experience differences.     

Understanding users’ dynamic behavior in a free trial of IT services: A three-stage model

A free trial of an information technology service (ITS) provides users an opportunity to obtain direct usage experience without purchase commitment, which can significantly reduce their uncertainty about the utility and quality of the ITS and promote their intention of final purchasing. Previous studies of user behavior in a free trial of ITS have mainly focused on either the adoption intention in the pre-trial stage or purchase intention in the post-trial stage. There is a lack of study investigating the trial stage that facilitates the transition and connection between these two separately studied stages. In this study, we view free trial as a motivated learning process and propose a Three-Stage Model (TSM) based on the learning motivation theory and reference-dependent theory to investigate users’ free trial behavior dynamics in moving from motivation to trial, making efforts to gain trial experience, and finally making a further purchase decision after the trial. We collected 377 users’ free trial experience to test our TSM using partial least squares-based structural equation modeling. Our results indicate that the perceived trial benefit and social influence strongly motivate user’s willingness to trial and that the utility experience and flow experience gained through trial effort leads to a willingness to accept and ultimately affect user’s willingness to pay through the mediation effect of expected additional value and price justification. Our study contributes to the theory that explains the dynamics of user decision-making behavior in the context of a free trial of ITS.     

Prosocial rule breaking on health information security at healthcare organisations in South Korea

Regulations, such as the Health Insurance Portability and Accountability Act (HIPAA), establish standards to protect patients' medical records from security breaches. Insiders' prosocial misbehaviour within healthcare organisations can cause significant damage to relevant stakeholders. Such behaviour without malicious intention needs to be better understood and carefully managed from the perspective of prosocial behaviour. For this study, a research model was developed that includes the factors influencing student nurses' intention to disclose patient health information. The model was empirically tested with nursing students in South Korea with a scenario-based experiment. We find that both altruistic (impact on others) and egoistic (impact on the self) motivations are significantly important in raising situational empathy. On the other hand, an egoistic motivation (impact on the self) significantly affects people's perception of their responsibility, which mediates the relationship between situational empathy and prosocial intention to disclose. The implications of our findings are discussed.     

Input control and its signalling effects for complementors' intention to join digital platforms

Existing information systems (IS) research on platform control has largely focused on examining how input control (i.e., the mechanisms used to control platform access) affects complementors' intentions and behaviours after their decision to join a digital platform. Yet, our understanding of how input control is perceived before this decision and how such perceptions influence prospective complementors' intention to join a platform is still nascent. In this regard, our study views input control as a salient signal that shapes prospective complementors' expected benefits and costs (i.e., their performance and effort expectancy), and ultimately their decision to join a digital platform. Drawing on signalling theory and the antecedent-benefit-cost (ABC) framework, we conducted a randomized online experiment in the context of donation-based crowdfunding. The experiment results offer empirical support for this view by showing that input control has distinct and complex signalling effects for prospective complementors. In particular, our findings reveal curvilinear and competing signalling effects, with perceived input control increasing both performance expectancy (at a decreasing rate) and effort expectancy (at an increasing rate). Also, we find that performance expectancy linearly increases prospective complementors' intention to join a platform, whereas effort expectancy linearly decreases their intention to do so. These findings imply that the overall relationship between perceived input control and intention to join follows an inverted U-shape curve, which means that neither a low nor a high, but a moderate degree of perceived input control maximizes prospective complementors' intention to join. In sum, the results of our study provide novel and important insights into the signalling role that perceived input control plays in shaping prospective complementors' decision to join a digital platform.     

Adoption of e-government services in Turkey

This research aims to investigate underlying factors that play role in citizens' decision to use e-government services in Turkey. UTAUT model which was enriched by introducing Trust of internet and Trust of government factors is used in the study. The model is evaluated through a survey conducted with Turkish citizens who are from different regions of the country. A total of 529 answers collected through purposive sampling and the responses were evaluated with the SEM (Structural Equation Modeling) technique. According to the results, Performance expectancy, Social influence, Facilitating conditions and Trust of Internet were found to have a positive effect on behavioral intention to use e-government services. Additionally, both Trust factors were found to have a positive influence on Performance expectancy of e-government services, a relation which, to our best knowledge, hasn't been tested before in e-government context. Effect of Effort expectancy and Trust of government were found insignificant on behavioral intention. We believe that the findings of this study will guide professionals and policy makers in improving and popularizing e-government services by revealing the citizen's priorities regarding e-government services in Turkey.     

Understanding Chinese users’ continuance intention toward online social networks: an integrative theoretical model

This study explores users’ continuance intention in online social networks by synthesizing Bhattacherjee’s IS continuance theory with flow theory, social capital theory, and the unified theory of acceptance and use of technology (UTAUT) to consider the special hedonic, social and utilitarian factors in the online social network environment. The integrated model was empirically tested with 320 online social network users in China. The results indicated that continuance intention was explained substantially by all hypothesized antecedents including perceived enjoyment, perceived usefulness, usage satisfaction, effort expectancy, social influence, tie strength, shared norms and trust. Based on the research findings, we offer discussions of both theoretical and practical implications.     

The factors affecting acceptance and use of interactive whiteboard within the scope of FATIH project: A structural equation model based on the Unified Theory of acceptance and use of technology

Purpose of this research is to explain the factors affecting high school teachers' acceptance and use of interactive whiteboard within the scope of FATIH project according to the Unified theory of acceptance and use of technology (UTAUT, Venkatesh et al., 2003). The study was designed using causal research design in order to examine the cause-effect relationship between the variables. Sample of the study consists of 158 teachers, determined via criteria sampling, who have participated in the study voluntarily. Data has been collected using a 7 points Likert scale, developed for this study, which covers UTAUS's factors and variables featuring interactive whiteboard acceptance and use of the teachers. The collected data has been analyzed with simple and multiple linear regressions and structural equation model. The findings have shown that performance expectancy, effort expectancy and social influence had positive effects on behavioral intention; behavioral intention and facilitating conditions had positive effects on the usage time of interactive whiteboard.     

Continuance intention of blog users: the impact of perceived enjoyment,habit, user involvement and blogging time

The purpose of this study is to understand factors that affect continuance intention of a popular hedonic information system, blogs. The expectation-confirmation theory (ECT) is adapted with perceived enjoyment, habit and user involvement. Data was collected via an online survey. A total of 430 valid responses were collected. The research model was assessed by structural equation modelling (SEM). The results show that continuance intention of blog use was predicted collectively by user involvement, satisfaction and perceived enjoyment. Habit, however, exhibited no strong relationship with satisfaction and use intention. Users' satisfaction with blog use was predicted primarily by perceived enjoyment, followed by users' confirmation of expectation and user involvement. Perceived enjoyment was predicted by users' involvement and users' confirmation of expectation. Blogging time significantly moderates the effect of habit on perceived enjoyment, but not on satisfaction and continuance intention. The integrated model explains 65% of the satisfaction and 57% of continuance intention. The results suggest that integrating perceived enjoyment and user involvement into the ECT provides better insights into continuous use in the blog context.     

The role of task-technology fit as users’ motivation to continue information system use

In this study, we extend and combine the post-acceptance model (PAM), proposed by Bhattacherjee [Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation–confirmation model. MIS Quarterly, 25(3), 351–370], with aspects of Goodhue and Thomson’s theory of task-technology fit (TTF). The original PAM emphasizes cognitive beliefs and user feelings as factors that may influence a person’s intention to continue to use an information system (IS). The variables added from TTF are task-technology fit and utilization. The sample consists of data that measure use and use-related aspects of an e-learning tool among university college teachers. Using structural equation modeling, results indicate that variables from TTF as well as variables from PAM explain users’ IS continuance intention. As a result of these findings, we propose the existence of two different and autonomous paths from the independent variables to the dependent variable of IS continuance intention. These two paths are: a work system-centric path through utilization of the information system, and an IT-centric path through user satisfaction.