User Acceptance Of Information Systems Research Articles

Navigating autonomy and control in human-AI delegation: User responses to technology- versus user-invoked task allocation

Users can increasingly delegate to information systems (IS) – that is transferring rights and responsibilities regarding certain tasks – even to the degree that IS can act autonomously (i.e., without the intervention or supervision of users). What is more, IS increasingly offer to assume the rights and responsibilities for a task not only in response to user prompts (i.e., user-invoked delegation) but also without user prompts (i.e., IS-invoked delegation). Yet, little is known about whether, how, and why users agree to delegation when they are asked by the IS in contrast to when they self-initiate the delegation. Drawing on self-affirmation theory, we investigate user acceptance of IS- versus user-invoked delegation in two complementary online experiments in software development. Our core findings reveal that IS-invoked (vs. user-invoked) delegation increases users' perceived self-threat and thus decreases their willingness to accept delegation. This threatening effect is larger the less (vs. more) the user perceives control after the potential delegation. Taken together, we uncover defensive user responses to IS-invoked delegation. Furthermore, we shed light on the underlying and moderating mechanisms representing the reasons and contextual features that explain and mitigate these defensive measures. These findings have significant implications for IS designers seeking to improve user-IS collaboration and outcomes by employing IS-invoked delegation.

Behavioral Intention to Re-Use Online Learning Platform

The Technology Acceptance Model (TAM) is a model used to predict user acceptance of information systems based on perceived usefulness and perceived ease of use. If the user sees the benefits and ease of using the information system, it will cause the user's actions to accept the use of the information system. This study aims to examine the effect of IT system quality and perceived usefulness on the intention to reuse online learning applications. This research analyze the measurement of perceptions of the quality of the IT system used by respondents in the scope of online learning. We operate a survey method, the respondents in this reseacrh were students and teaching staff users of online learning applications. Respondents, most of whom are students in Sumatra, are interested or have the intention of reusing online learning applications if there is a good information quality factor and more benefits from online applications. The perceived usefulness construct plays a full role as a mediating variable of the relationship between information quality and intention to reuse online learning applications.

Technology acceptance model of the Indonesian government financial reporting information systems

This study applies the technology acceptance model to explore the government financial reporting information systems (GFRIS) in Indonesia. The model empirically tested using data gathered from 73 respondents of chief finance administration officer, revenue treasurer and expenditure treasurer in Surabaya City Government of Indonesia. Sampling technique used in this research is clustered sampling. The research model was tested by using the partial least squares structural equation modelling (PLS-SEM) approach. The results showed that all constructs in the TAM model were statistically significant. The findings suggest that experience has a positive impact on ease of use and usefulness. Conversely, gender as external variables has no effect on the ease of use and the usefulness of GFRIS. Findings from this study contribute to the literature on user acceptance of information systems and provide insights to assess the user acceptance by focusing on user experience in the government and financial context.

Analisis Diskriptif Technologi Acceptance Model pada Penerapan Blended Learning

The Blended Learning learning model is a system that collaborates classroom face-to-face learning with online learning. This study aims to measure the acceptance of the Blended Learning learning model among students. The variables developed refer to the Technology Acceptance Model (TAM), which is a model of user acceptance of information systems. The data obtained were analyzed by descriptive statistics and qualitative analysis. The results showed that in general the use of the Blended Learning learning model could be accepted by students in the category of Good approaching is Very Good. The mean value of all aspects reached a value of 3.94 on a scale of 5 (79%). The results of qualitative analysis were in line with the results of quantitative analysis. Students received good use of e-Learning while maintaining face-to-face learning activities in class. The results of this study can be used as a basis for recommending the selection of learning methods in universities

Applying a multi-dimensional hedonic concept of intrinsic motivation on social tagging tools: A theoretical model and empirical validation

Participation in and adding content to social tagging tools is important for these tools to achieve their purpose of classifying and organizing information. Users of social tagging tools are driven to participate and add tags by extrinsic and intrinsic motivation. Extrinsic motivation is dominating research as a main predictor of why users use information systems. Social tagging tools, as a subset of social media tools, are distinguished by their unique social aspect that makes intrinsic motivation a potential driver for users to add tags to content. Intrinsic motivation, when applied to social tagging tools, could entail many shades that represent different users’ motives for using such tools. In this paper, we add a rich concept of intrinsic motivation to include hedonism as a main predictor of users’ behavior on social tagging tools. We empirically validate a previously proposed theoretical model of three dimensional concepts of hedonism with three components describing individuals’ hedonic state when interacting with social tagging tools: explorability, curiosity, and enjoyment. After a robust and thorough data analysis using structured equation modeling, the results confirm our theoretical model and suggest using a richer concept of enjoyment to reflect a hedonic dimension when investigating intrinsic motivation with interactive social media tools. Our validated model could be the spark of new factors that have the potential to influence user acceptance of information systems in general and in social media tools. This research contributes to the development of attitude-behavior theories that could explain users’ acceptance of dynamic web

Kullanıcıların Bilgi Sistemini Kabulünü Etkileyen Faktörlerin UTAUT Perspektifinden İncelenmesi

Analysing the Factors Affecting the User Acceptance of Information Systems from the UTAUT Perspective The innovations in information technologies and information systems (IS) also influence the businesses. The firms which need to accommodate these rapid developments try to accord their business processes with these systems by enduring high costs and risks. In this stage, one of the most important problems is the acceptance and the use of information systems by users. The main purpose of this study is to analyze the variables which affect the acceptance and use of information systems such as performance expectancy, effort expectancy, social influence and facilitating conditions. The proposed research model is built on the basis of Unified Theory of Acceptance and Use of Technology (UTAUT). The study is conducted with 298 IS users working in 10 aviation manufacturing companies located in Ankara and in Eskisehir

Gender differences in adoption of information systems: New findings from China

The paper explores regional gender differences in information systems adoption based on a sample of 496 Chinese individuals from four universities and one firm, by a lens of theory of planned behavior. It enriches the literature by explaining and examining the moderating effects of gender on the relationships between antecedents and behavioral intention of using information systems for Chinese users. Contrary to prior findings in the US-based research, Chinese women were found to be more strongly influenced by their computer attitudes whereas Chinese men were found to be more strongly affected by their subject norms. Perceived behavior control was important for both sexes without significant difference. The results were robust across prior experience, ages, educational levels, as well as academic disciplines and job occupations. Meanwhile, the paper uncovers under what conditions perceived behavior control and subject norms will be salient determinants of Chinese user acceptance of information systems. Practical implications about gender sensitivity in information systems adoption are discussed.

Users and information technology: analysis of task information fit model

The objective of information technologies is multifold including many ranging from collection to presenting vital information for decision makers. It is more valuable to design systems that suits better the information requirements of the business than a tightly integrated one. This paper combines task and information characteristics at conceptual level from business management perspective. We propose a task information fit (TIF) model, which addresses the user acceptance of information systems by means of information quality provided. The model is applied and validated on a case study, which demonstrated the effect of power users on product development and user acceptance in correlation with TIF model.

Investigating the Factors Influencing Customers’ Adoption of Online Banking in the United Arab Emirates

INTRODUCTION Purpose of the Research The Internet has offered organizations new and more advanced methods to conduct their business (Kamel, 2001; Karajaluto, Mattila, & Pento, 2002), and one business sector which has been highly affected is the banking sector. The Internet represents a new electronic delivery channel, allowing customers to perform faster and more efficient banking transactions, and offering new methods of reaching new clients (Dannenberg & Kellner, 1998; Sathye, 1999). Online banking is considered a dynamic value method which attracts new customers and eliminates the cost of handling transactions manually in a highly volatile banking environment. It can be considered an easy substitute which reduces the need to visit the physical branch in order to perform banking transactions, offering customers instead the ability to conduct any banking services anyplace and at anytime (Polatoglu & Ekin, 2001; Howcroft, Hamilton, & Hewer, 2002; Fredriksson, 2005; Sayar & Wolfe, 2007). Davis (1989) presented The Technology Acceptance Model (TAM) which is an adaptation of the Theory of Reasoned Action (TRA) (Fishbein & Ajzen, 1975; Ajzen & Fishbein, 1980), but with more focus on user acceptance of information systems (IS). The Technology Acceptance Model is considered an important model when investigating user acceptance of a new information technology (Adams, Nelson, & Todd, 1992; Taylor & Todd, 1995). Hernandez, Jimenez and Martin (2008) demonstrate that the TAM model can properly explain the acceptance level of a new technology in the business context. The success of any information system (IS), especially online banking, is highly determined by user acceptance (Mols, Bukh, & Neilsen, 1999). The TAM posits that perceived ease of use of a technology (PEOU) and perceived usefulness (PU) determine a person's behavior towards the technology. But PEOU and PU are also influenced by exogenous variables, which vary according to the context. Davis (1989) has noted that further research is needed to address how other variables can affect PEOU, and PU. Exogenous variables can be added to the TAM as a way of improving the original model (Davis, Bagozzi, & Warshaw, 1989; Davis, 1993). A key aspect of the TAM, therefore, is to provide a basis for investigating the influence of exogenous factors on endogenous factors of attitudes, and intentions towards any technology including IS. Most applications of the TAM in online banking research have focused on the adoption of online banking in different parts of the world (Jayawardhena & Foley, 2000; Karjaluoto et al., 2002; Chau & Lai, 2003; Wang, Wang, Lin, & Tang, 2003; Pikkarainen, Pikkarainen, Karjaluoto, & Pahnila, 2004; Kolodinsky, Hogarth, & Higlert, 2004; Chan & Lu, 2004; Eriksson, Kaerem, & Nilsson, 2004; Cheng, Lam, & Yeung, 2006; Yiu, Grant, & Edger, 2007; Lee, 2009), while fewer empirical studies have focused on online banking in the Arab world (Aladwani, 2001; Kamel & Hassan, 2003; Jabnoun & Al-Tamimi, (2003); Awamleh & Fernandes, 2005a; Awamleh & Fernandes, 2005b; Awamleh & Fernandes, 2006; Al-Somali, Gholami, & Clegg, 2009). One of the reasons for the limited empirical research in the Arab world is that the introduction of online banking is relatively new to this region. Thus, the goal of this study is to provide a better understanding and knowledge of the antecedents of users' attitude towards online banking in the light of the TAM in the Arab world. This study focuses on the United Arab Emirates (UAE), which is considered one of the leading Arab countries in the advancement of information and communication technology (ICT), and in the number of banks offering online banking services to their customers (Emirates Bank Association, 2007). To date there have been no studies about customers' adoption of online banking in the UAE, with the exception of one study which has investigated the effect of computer self-efficacy and security on users' attitude towards online banking in the UAE (Awamleh & Fernandes, 2005a). …

A Comparison of Structural Equation Modeling Approaches: The Case of User Acceptance of Information Systems

Structural equation modeling is becoming a more frequently used methodology to address certain research questions posed in information systems research. This paper illustrates the use of three different structural equation models to test the network of variables in an extended technology acceptance model. The techniques we use are path analysis, item level and parcel structure equation modeling. Beyond demonstrating the use of structural equation models, we compare the primary differences among the three approaches and provide guidance to help researchers select the most appropriate approach to use. While each of the three structural equation techniques produces similar structural results, they differ in the degree that they fit the data and the degree of explained variance (R2).