Acceptance Of Information Systems Research Articles

Technology Acceptance Model and Determinants of Technology Rejection

Technology Acceptance Model (TAM) is an important tool to understand the dynamics of acceptance of Information Systems in an organization. The model posits that perceived ease of use and perceived usefulness are key factors in the adoption. This study extends TAM for investigating the user rejection of technology by reversing the two key factors into perceived difficulty of use and perceived uselessness. The study was conducted by surveying the customers of an e-banking application in Turkey who disuse the system. The results reveal important hints for the organization that wants to get an insight into the causes of the system disuse.

University Management Information System (UMIS) acceptance among university student: Applying the Extended Technology Acceptance Model (ETAM)

This study uses Extended Technology Acceptance Model (ETAM) to predict University Management Information System (UMIS) acceptance amongst postgraduate students. A model for UMIS acceptance is used to examine how various factors (technical support, and computer literacy) modified from Technology Acceptance Model (TAM) influence acceptance and its antecedents. This model is examined through an empirical study using structural equation modeling techniques. Results shows that perceived usefulness, perceived ease to use, technical support, and computer literacy were significant determinants of postgraduate students’ UMIS acceptance. The current research found that a strong positive relationships between the technical support and the usage of IU (UMIS).

Group-level effects of facilitating conditions on individual acceptance of information systems

Much of the research effort in the area of technology acceptance has been directed to investigating the effects of various variables operating at the individual-level without considering the conjoint effects of group-level variables on individual acceptance. The present research addresses this issue by proposing a group-level variable, organizational facilitating conditions, and examining its effects on the unified theory of acceptance and use of technology model, a widely used individual user acceptance model. Two field studies were conducted to explore the multilevel nature of technology acceptance. In the first study, we refined the construct of facilitating conditions and developed a new measure of facilitating conditions to explicitly add the organizational facilitating conditions dimension as well as to augment the existing measure. Subsequent testing of the measure confirmed the multilevel nature of the construct. In the second study, we examined the effects of the organizational facilitating conditions on individual acceptance behaviors by utilizing the hierarchical linear modeling approach. The results indicate that the two constructs, individual facilitating conditions and organizational facilitating conditions, are distinct and that, compared to individual facilitating conditions, the organizational facilitating conditions as a group-level variable explain a larger amount of variance in individual acceptance behavior. The resulting model offers a multilevel perspective to the technology acceptance research area while the study results provide an augmented way to evaluate facilitating conditions with a prescriptive guidance to managers.

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The effects of education compatibility and technological expectancy on e-learning acceptance

Discerning what influences a student’s acceptance of e-learning is still unclear and has not been well investigated. On the basis of the expectancy-value theory, much effort has been put into identifying the effectual factors regarding the technological expectancy of students. However, aside from technological usage, the adoption of an e-learning system still must consider learning behavior. Thus, researchers should take into consideration both technological and learning expectancies of students while investigating e-learning acceptance. Following mainstream literature on information system acceptance, this study postulates that a student’s behavioral intention to accept an e-learning system is determined both by his or her technological expectancy and educational compatibility. Four primary factors, that is, performance expectancy, effort expectancy, social influence, and facilitating conditions, specified in the Unified Theory of Acceptance and Use of Technology (UTAUT) are used to reflect the technological expectancy of students. Further, educational compatibility, which refers the congruence of e-learning systems with the unique leaning expectancies of students, is integrated with the UTAUT to form a new theoretical model for e-learning acceptance. An empirical survey is conducted to examine the proposed model. A total of 626 valid samples were collected from the users of an e-learning system. The findings show that both technological expectancy and educational compatibility are important determinants of e-learning acceptance. However, educational compatibility reveals a greater total effect on e-learning acceptance than does technological expectancy. Implications and practical guidelines for both e-learning developers and practitioners are subsequently presented.

Modeling the acceptance of clinical information systems among hospital medical staff: An extended TAM model

Recent empirical research has utilized the Technology Acceptance Model (TAM) to advance the understanding of doctors’ and nurses’ technology acceptance in the workplace. However, the majority of the reported studies are either qualitative in nature or use small convenience samples of medical staff. Additionally, in very few studies moderators are either used or assessed despite their importance in TAM based research. The present study focuses on the application of TAM in order to explain the intention to use clinical information systems, in a random sample of 604 medical staff (534 physicians) working in 14 hospitals in Greece. We introduce physicians’ specialty as a moderator in TAM and test medical staff’s information and communication technology (ICT) knowledge and ICT feature demands, as external variables. The results show that TAM predicts a substantial proportion of the intention to use clinical information systems. Findings make a contribution to the literature by replicating, explaining and advancing the TAM, whereas theory is benefited by the addition of external variables and medical specialty as a moderator. Recommendations for further research are discussed.

Harnessing Geographic Information Systems (GIS) to Enable Community-Oriented Primary Care

Background: Despite growing acceptance and implementation of geographic information systems (GIS) in the public health arena, its utility for clinical population management and coordination by leaders in a primary care clinical health setting has been neither fully realized nor evaluated. Methods: In a primary care network of clinics charged with caring for vulnerable urban communities, we used GIS to (1) integrate and analyze clinical (practice management) data and population (census) data and (2) generate distribution, service area, and population penetration maps of those clinics. We then conducted qualitative evaluations of the responses of primary care clinic leaders, administrators, and community board members to analytic mapping of their clinic and regional population data. Results: Practice management data were extracted, geocoded, and mapped to reveal variation between actual clinical service areas and the medically underserved areas for which these clinics received funding, which was surprising to center leaders. In addition, population penetration analyses were performed to depict patterns of utilization. Qualitative assessments of staff response to the process of mapping clinical and population data revealed enthusiastic engagement in the process, which led to enhanced community comprehension, new ideas about data use, and an array of applications to improve their clinical revenue. However, they also revealed barriers to further adoption, including time, expense, and technical expertise, which could limit the use of GIS and mapping unless economies of scale across clinics, the use of web technology, and the availability of dynamic mapping tools could be realized. Conclusions: Analytic mapping was enthusiastically received and practically applied in the primary care setting, and was readily comprehended by clinic leaders for innovative purposes. This is a tool of particular relevance amid primary care safety-net expansion and increased funding of health information technology diffusion in these settings, particularly if the hurdles of cost and technological expertise are overcome by harnessing new advances in web-based mapping technology.

Application of an Extended TAM Model for Online Banking Adoption

The understanding of factors leading to the acceptance or rejection of information systems (IS) is important and relevant. Although there have been studies examining the adoption of Internet Banking (IB), research on this topic in the Gulf context and from an IS perspective is lacking, even though societal factors are acknowledged as having an impact on technology adoption. To fill this gap, this paper uses a version of the Technology Acceptance Model (TAM), extended by the compatibility and trust constructs. An empirical study, using students from a large university in the region, validates the research model.

Technology acceptance model for the use of information technology in universities

The problem described in this research is to identify which factors influence on engineering students about their acceptance of an academic administrative information system in private universities in Lima, Peru. The objective is to identify factors by proposing a Technology Acceptance Model of an Academic and Administrative Information System. University population is described, both private and public. The investigation is based on two private universities. The results show the relationship between the selected variables. Finally, recommendations are given to act on the variables that determine the acceptance of information technology.

A conceptual model for acceptance of social CRM systems based on a scoping study

Recent developments in information technology and Web services have increased the potential for creating more rapid and extensive social networks and business relationships. Web 2.0 technologies, commonly referred to as online social media, have become important tools within the growth of information and communication technology (ICT) in the last few years. Web 2.0 tools such as blogs, Wiki and other services, which are widely used by individuals, also have an effect on customer relationship management (CRM) systems. Consequently, social CRM (SCRM) is emerging as a new paradigm for integrating social networking in more traditional CRM systems. However, social CRM is yet to be fully utilised as a value-adding tool in improving customer relationships. This paper reports on a scoping study that explored the current situation of CRM adoption in banking industry in Saudi Arabia. The aim of this paper is to identify the factors that may influence businesses and customers’ adoption of social CRM. Various models have been proposed to study ICT and information systems acceptance and usage. This paper proposes an enhancement to one of these models, specifically the Technology Acceptance Model (TAM), by incorporating a range of factors identified in the social networking and business relationships literature believed to influence social CRM adoption. In particular, the model proposes that familiarity, caring behaviour, sharing information and perceived trustworthiness can generate cognitive view about the relationships between employees and customers. This view besides Web 2.0 features may offer a way of analysing the potential adoption of social CRM.

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.

The contribution of an injury data registry system to injury surveillance in rural Iran: community health workers and health authorities views and concerns

BackgroundInjury prevention and control require that accurate data be continuously gathered, analysed and disseminated. A new injury data registry system has recently been piloted and is in the progress of...

A Path Analysis of the Impact of Application-Specific Perceptions of Computer Self-Efficacy and Anxiety on Technology Acceptance

Perceptions of computer self-efficacy (CSE) and computer anxiety are valuable predictors of various computer-related behaviors, including acceptance and utilization of information systems (IS). Although both factors are purported to have general and application-specific components, little research has focused on the application or system-specific component, especially in IS acceptance contexts. Thus, little is known about the effects of application-specific beliefs on IS acceptance or how such effects compare with the effects of more general CSE and computer anxiety beliefs. Accordingly, a research model comprising application CSE, application anxiety, perceived ease of use, perceived usefulness, attitude, and intention was proposed and tested via path analysis. The results demonstrated that the direct impacts of application CSE and application anxiety on perceived ease of use and perceived usefulness were almost equal, but in opposite directions. However, the indirect effect of application CSE on attitude and intention was stronger than that of application anxiety.

The effects of team identity and cooperative team norm on the acceptance and performance of a collaborative information system

Teamwork is becoming increasingly important in modern business, so systems that support teamwork are becoming vital tools to enhance performance. This paper examines the decision to adopt collaborative information systems (CIS) applied in the business environment. We investigated the factors of personal adoption decision influenced by team-level effects. By applying the technology acceptance model (TAM), this research embraced an extended perspective to examine team behavior in the context of collective action. Data from a survey of the application of project management systems were used empirically to test the proposed model. Aside from the personal acceptance determinants of perceived ease of use, perceived usefulness, cooperative team norm indirectly affected adoption intention and perceived performance. Perceived usefulness substantially explained system adoption in a production-oriented business environment. Managerial implications were then discussed.

E‐government adoption in Cambodia: a partial least squares approach

PurposeThe purpose of this paper is to investigate factors influencing end‐user acceptance and use of government administration information system (GAIS).Design/methodology/approachA conceptual structural model of end‐user acceptance and use of the GAIS was developed with technology acceptance model as a theoretical background and tested using a structural equation modeling with partial least squares (PLS) approach on a data collected from a survey among 112 public officers in 12 ministries in Cambodia.FindingsThe results indicate that the factors influencing end‐user adoption of the GAIS are significantly affected by perceived usefulness, relative advantage, and trust. Perceived usefulness of the GAIS is directly affected by subjective norm, image, output quality, and perceived ease of use.Practical implicationsThe results are of practical significance to all those interested in this area, mainly the government policy makers and practitioners in Cambodia's public services.Originality/valueThe paper is the first to investigate end‐user adoption of the GAIS. It is unique to Cambodia. It adds to the limited literature in e‐government in Cambodia. Simultaneously, the PLS approach use in this study is quite unique with government information system research. As such, it contributes to the methodology development in the government information system research field.

Determinants of self-report and system-captured measures of mobile Internet use intensity

Most research on the first adoption and subsequent use (= acceptance) of Internet access through cellular networks and portable appliances (= mobile Internet) has followed a similar pattern. It has employed survey responses of mobile network operator [MNO] customers to explain consumers' stated future use (continuance) intentions or claimed use intensities related to mobile Internet [MI] access by various beliefs about MI (e.g., perceived relative advantage, usefulness, ease of use). However, there is ample evidence suggesting that MI use intentions and self-reported use intensities are only weakly correlated with actual MI use. Therefore, the present paper develops hypotheses on how the ability of different types of variables to account for variance in MI use intensity may vary depending on whether subjectively estimated or objectively captured use serves as the criterion variable. The hypotheses are tested by analyzing actual MI use behaviors of 300 adopters in Germany, whose mobile IP traffic was extracted from an MNO's billing engine. This "system-captured" criterion measure is integrated with MI adopter responses collected by means of a standardized telephone survey. Results show that the predictors are more strongly correlated with self-rated than with system-captured MI use intensity. Up to 38% of the variance explained in self-rated use may be attributed to artifactual covariance between variables caused by common measurement methods. Factual MI use case features (MI tariff type and appliance class, fixed Internet home access availability) are better able to account for variance in both self-rated and actual MI use intensity than MI related beliefs. The findings imply that variable relationships observed in earlier MI and information system (IS) acceptance studies are likely to have been inflated by common method biases and thus may have provided spurious support for the conceptual frameworks tested. Implications of the results for future MI and IS acceptance research and for MNO seeking to forecast and to influence the MI use intensity of their customers are discussed.

Cultural Construction of what?: Stakeholders’ Cultural Bias and its Effect on Acceptance of a New Public Information System

This study examines stakeholders’ cultural bias and its impact on the acceptance of a new public information system. Different attitudes toward the same information technology, the National Educational Information System (NEIS), brought out social conflicts in Korea. This article argues that social relations and cultural biases influenced stakeholders’ positions in this policy conflict. Our analysis begins by reviewing Cultural Theory, developed by Mary Douglas and Aaron Wildavsky. Then we show how, to a large extent, four cultural biases (hierarchy, egalitarianism, individualism, and fatalism) are supported by five stakeholder groups (three teacher groups, bureaucrats, and private system developers). Finally we find that, having different cultural biases, the five groups show different attitudes toward technology acceptance and risk perception as well as different emotional responses. Our analysis is based on empirical survey data from 628 employees sampled from five stakeholder groups.

Organisational relations in organisational design and engineering

Organisations can be seen as networks of organisational relations (ORs). Information systems (ISs) are able to modify ORs and, in turn, ORs have influence on ISs acceptance and use. Therefore, ORs are a key-variable in order to understand the interaction between organisational systems and ISs. While the structural and quantitative dimensions of ORs have been widely studied in the literature, few theoretical models exist which support the evaluation of ORs from a qualitative point of view. In this paper one of these models, the organisational relational model (ORM), has been used to study the mutual influence between ORs and ISs. In particular the effects of qualitative differences in ORs are studied. The paper provides a case study of a large Italian company in the oil and gas industry. Based on the obtained results an agile approach to the codesign of ORs and ISs is proposed.

Semiautomatic quality control of topographic reference datasets

The usefulness and acceptance of spatial information systems are mainly dependent on the quality of the underlying geodata. This paper describes a system for semiautomatic quality control of existing geospatial data via automatic image analysis using aerial images, high-resolution satellite imagery (IKONOS and RapidEye) and low-resolution satellite imagery (Disaster Monitoring Constellation, DMC) with monoand multi-temporal approaches focusing on objects which cover most of the area of the topographic dataset. The goal of the developed system is to reduce the manual efforts to a minimum. We shortly review the system design and then we focus on the automatic components and their integration in a semiautomatic workflow for verification and update. A prototype of the system has been in use for several years. From the experience gained during this time we give a detailed report on the system performance in its application as well as an evaluation of the results.

Harnessing Geographic Information Systems (GIS) to Enable Community-Oriented Primary Care

Despite growing acceptance and implementation of geographic information systems (GIS) in the public health arena, its utility for clinical population management and coordination by leaders in a primary care clinical health setting has been neither fully realized nor evaluated. In a primary care network of clinics charged with caring for vulnerable urban communities, we used GIS to (1) integrate and analyze clinical (practice management) data and population (census) data and (2) generate distribution, service area, and population penetration maps of those clinics. We then conducted qualitative evaluation of the responses of primary care clinic leaders, administrators, and community board members to analytic mapping of their clinic and regional population data. Practice management data were extracted, geocoded, and mapped to reveal variation between actual clinical service areas and the medically underserved areas for which these clinics received funding, which was surprising to center leaders. In addition, population penetration analyses were performed to depict patterns of utilization. Qualitative assessments of staff response to the process of mapping clinical and population data revealed enthusiastic engagement in the process, which led to enhanced community comprehension, new ideas about data use, and an array of applications to improve their clinical revenue. However, they also revealed barriers to further adoption, including time, expense, and technical expertise, which could limit the use of GIS and mapping unless economies of scale across clinics, the use of web technology, and the availability of dynamic mapping tools could be realized. Analytic mapping was enthusiastically received and practically applied in the primary care setting, and was readily comprehended by clinic leaders for innovative purposes. This is a tool of particular relevance amid primary care safety-net expansion and increased funding of health information technology diffusion in these settings, particularly if the hurdles of cost and technological expertise are overcome by harnessing new advances in web-based mapping technology.