Toward an information systems development acceptance model: the case of object-oriented systems development

In an ongoing effort to improve systems development, a variety of innovative products, such as CASE, and processes, such as object-oriented development, have been introduced over the years. While models such as the technology acceptance model (TAM) have been used to explain the acceptance of development products, very little research exists on the acceptance of the more complex development processes. Using the theory of planned behavior, goal-setting theory, and the TAM, this study develops a model to explain the acceptance of innovative information systems development processes by individual software developers. A total of 150 experienced developers completed a survey designed to explore factors that relate to the acceptance of object-oriented systems development (OOSD), the focus of this particular study. An analysis of the collected data reveals a succinct model that explains more than 60% of a developer's acceptance of OOSD. These results have important implications for both managers and process designers in their efforts to promote the acceptance of systems development innovations among developers. Researchers should also benefit from an augmented understanding of the acceptance of complex innovative processes.     

The adoption of new technology: the case of object-orientedcomputing in software companies

This study examines the adoption of new technologies within organizations, The significance of this research is to broaden the understanding of technology adoption within organizations by focusing on adoption at the individual level, The key research question that is examined is: “what factors contribute to the adoption of new technology by individuals within firms?” A model is presented to distinguish adopters from nonadopters based on four sets of constructs: (1) the characteristics of the individual; (2) individual's perception of group characteristics; (3) individual's perception of company characteristics; and (4) individual's perception of technology. Unlike previous studies that focus only on top management in firms, this study examines adoption at the level of middle managers, engineers and technical personnel, i.e., those individuals who are more likely to actually use this technology in the workplace. The study links previously studied elements of adoption and diffusion of innovations to the specific case of a relatively recent innovation for organizations, As an example, an empirical examination of adoption of object-oriented technology (OT) in software companies is conducted. This technology is a software development technique that uses pretested and routine methods or “objects” to design, construct and assemble software programs. It is a new way of thinking about software based on abstraction that exists in the real world. The results of this study show that individual characteristics, perception of group characteristics and company characteristics are significantly related to OT adoption, but the individual's perception of the technology is not. The proposed model predicts adopters of new technology, such as OT, with 86% accuracy, The results suggest the factors that top management need to focus on in order to facilitate new technology adoption in firms     

Consumer Acceptance of RFID Technology: An Exploratory Study

Radio frequency identification (RFID) technology is used in numerous applications and offers a plethora of interesting potential new applications. However, this potential raises issues that require addressing to achieve its widespread acceptance by consumers. This paper investigates the factors that affect consumer acceptance of RFID technology. The purpose of this effort is to develop and test a theoretical model that contextualizes the technology acceptance model (TAM) within the context of RFID technology. The research model proposes that convenience, culture, privacy, regulation, and security are the principal factors influencing the consumerspsila acceptance of RFID. However, the results show that convenience, culture, and security are significant predictors. This study is the first in the RFID literature to use the TAM for explaining consumer acceptance of RFID technology. The findings suggest that: (1) higher perceived convenience of RFID technology leads to greater acceptance of this technology; (2) societal beliefs, value systems, norms, and/or behaviors influence the extent of consumer acceptance of RFID technology; and (3) higher perceived importance of and less willingness to sacrifice personal information security lead to lower intention to use RFID technology. Contextualization of TAM to RFID technology makes this study relevant to practitioners because the results can provide insight to organizations using or exploring the use of RFID technology.     

Clinical knowledge management using computerized patient record systems: is the current infrastructure adequate?

The proliferation of technology in health care, spurred by environmental factors encouraging the adoption of computerized patient records (CPRs), has led to a widely held perception of fully computerized patient information systems as the industry norm. To test the validity of this assumption, using data from a national survey of certified health information managers, we examined the CPR technology adoption rates reported by health information managers, assessing variation across practice settings, regions, and organizational types. Results show that significant nonadoption, and regional variation, exists in the implementation of CPRs. Overall, nonuniform diffusion of computerized health information technology was found, despite national mandates that promote and at times require uniform adoption. A significantly greater number of hospital-based patient records were computerized, compared to clinics and other practice settings. Managers were frequently found to maintain duplicate CPRs and paper-based patient record systems, even after the initial implementation period. Nonuniform regional CPR adoption and redundant paper-based systems were found to be a common practice in medical systems, due in part to cultural factors, mistrust of computerized data, and lack of technology training and knowledge.     

Adoption of ERP systems: Does information transparency matter?

Research on the adoption of Enterprise Resource Planning (ERP) systems has drawn much attention in the information systems (IS) research. This study extends previous research on ERP adoption by examining the direct and indirect effects of perceived information transparency that result from the adoption of ERP systems. Based on the extensive review of literature grounded in the technology acceptance model and theory of reasoned action, a research model is proposed. The proposed model is validated by a survey of 106 ERP users. The results of this survey confirm that perceived information transparency of the ERP system has significant direct effects on perceived usefulness, ease of use, and indirect effects on attitude and adoption. Moreover, the perceived usefulness fully mediates the relationship between information transparency and the attitude toward using the ERP system. This study expands the existing body of knowledge on the adoption of ERP systems, and benefits ERP providers and vendors when formulating their business models.     

The development of knowledge embeddedness in CASE technologieswithin organizations

Computer-aided software engineering (CASE) has become an important part of the information technology landscape and software development activities. While researchers have examined the productivity gains associated with CASE, relatively little attention has been accorded to one of the critical elements of CASE: the repository. The CASE repository is considered to be the cornerstone of CASE technology platforms. Therefore, any plan for CASE tool implementation must include a plan for building and managing the repository. Yet, significant challenges are encountered in efforts to fashion the CASE repository as an active source of relevant systems development knowledge in organizations. This study investigates the influence of factors that are believed to facilitate knowledge embeddedness within the CASE repository. Knowledge embeddedness refers to the extent to which relevant systems development knowledge in an organization has been codified and stored within the CASE repository. Data drawn from 176 firms employing CASE environments are used to investigate the relative influence of these factors. The results indicate that management support, methodology influence, time since adoption, and external knowledge links enable success in knowledge embeddedness     

Organizational assimilation of complex technologies: an empirical study of component-based software development

The rapid rate at which new information technologies are emerging and their increasing complexity pose significant challenges for information systems departments in understanding and assimilating them. This has lead to a need for studies focused on the barriers to the adoption and assimilation of complex technologies. This research synthesizes the economic and organizational learning perspectives of technology adoption and identifies key adoption barriers, mechanism to reduce these barriers, and proposes a research model that interrelate these factors to the assimilation of complex technologies. The research context for this paper is the assimilation of one complex technology, namely, component-based software development (CBD) by information systems (IS) departments. Data collected from IS units in the United States is used to test the model using partial least square analysis. The results provide evidence that organizations better positioned to overcome knowledge barriers because of their knowledge stocks are likely to be further along in the assimilation process than others and that knowledge sharing by technology vendors positively influences technology assimilation by reducing the learning burden of the adopters. It was also found that exposure to signals from technology vendors reduced the technology uncertainty perceived by the adopters.     

Information technology innovations: general diffusion patterns andits relationships to innovation characteristics

While many scholars of organizational innovations have examined characteristics of innovations such as relative advantage and complexity and how they facilitate the adoption of an innovation by organizations, others have used mathematical models to fit diffusion patterns. In this study, the authors attempt to integrate these two areas of inquiry and explore the possibilities to predict diffusion patterns based on characteristics of the innovation and the adopting entities. Based on a cross-sectional sample of 313 large American firms, 20 information technology (IT) innovations were examined and their diffusion patterns assessed with respect to models that espoused internal and external influence. The mixed influence model (Bass model) was chosen as a robust common representation for the set of diffusion patterns. However, the external influence as represented by the coefficient of innovation was found to be extremely small and the internal influence dominates for all innovations. The other two parameters of the model, the saturation level and the coefficient of imitation, which represents internal influence, were then used to perform a cluster analysis. Five clusters of technologies emerged, and the potential relationships between their innovation characteristics and diffusion patterns were explored. Rigorous examination of these potential relationships by future researchers may result in practical methods for predicting patterns of IT innovation diffusion based on innovation and technology characteristics     

Predictors of support for doctoral programs in media information technologies

This study assesses interest in curricular development in new technologies among communication faculty, with a focus on doctoral-level programs. Diffusion of innovations theory explains both individual- and organizational-level factors that may account for adoption of innovations, including those stemming from new technologies. In the field of communication, media information technology programs represent an organizational-level innovation of clear importance but with uncertain faculty support, due to individual factors (e.g., interest area, age) and departmental constraints (e.g., lack of resources). In light of this, several research questions are advanced to address: (1) the current level of support for media information technology programs among communication faculty members and (2) predictors of faculty interest in having more media information technology programs. Data were collected through a random sample of faculty members who filled out a survey on the World Wide Web. Results indicate that media information technology programs are viewed by faculty as the most needed type of program in the field of communication. Findings from a logistic regression analysis also reveal several predictors of support for new technology programs, including male gender, support for organizational communication programs, support for programs focusing on mass communication, and the belief that multimedia teaching facilities are important. The implications of these findings are discussed, with an emphasis on their relevance to faculty working in communication and related fields.     

Examining pre-adoption interest in online innovations: an exploratory study of e-service personalization in the public sector

In order to better understand why public organizations develop interest in online innovations, this paper develops a revised model of technological innovation with an emphasis on socio-technical factors associated with electronic service delivery. This model focuses on three primary dimensions of online innovation: perceived need, technical capacity, and risk mitigation. It is hypothesized that these three dimensions will have the greatest influence on the development of pre-adoption interest in a new online innovation. This model is then used to examine a single online innovation, personalization of online government information and services. Data from a survey of local governments is used to test the theory. A regression model was estimated from the survey data. Results suggest that perceived need, financial costs, and the ability to mitigate the risks associated with privacy issues each influence the level of interest in personalized online services. The results suggest that public organizations must find reliable means of determining external demand for online innovations, as well as reducing the risks associated with each specific type of online innovation prior to adoption.     

Validating the moderating role of age in multi-perspective acceptance model of wearable healthcare technology

The recent trend of aging population, not to mention the unprecedented pandemic, draws great attention from the general public about health concerns. Since healthcare information technology is different from non-healthcare information technology, additional contexts should be properly incorporated into technology acceptance research to accurately identify influential factors affecting the acceptance of wearable healthcare technology. Thus, we selectively reconfigured factors from health, privacy, and socio-demographic contexts to formulate a health-aware acceptance model. Then, it was empirically analyzed using structural equation modeling. Based on the results, whereas privacy concerns were directly associated with intention to use wearable healthcare technology, health concerns were not. Moreover, age had a moderating effect on social influence and facilitating conditions. These findings suggest valuable insights that the adoption rate of healthcare technology is increased by 1) keeping personal information securely, 2) facilitating social interaction among users, and 3) offering intuitive user experience for elderly people.     

Gender and age differences in employee decisions about new technology: an extension to the theory of planned behavior

This research extends the theory of planned behavior by incorporating gender and age as moderators of user perceptions and individual adoption and sustained use of technology in the workplace. Individual reactions and technology use behavior were studied over a six-month period among 342 workers being introduced to a new software technology application. While previous studies in the literature have reported gender or age differences separately, the pattern of results from the study reported here indicated that gender effects in individual adoption and use of technology differed based on age. Specifically, gender differences in technology perceptions became more pronounced among older workers, but a unisex pattern of results emerged among younger workers. The theory and empirical results are also discussed in relation to the widely employed technology acceptance model. The results from this study suggest that old stereotypes that portray "technology" as a male-oriented domain may be disappearing; particularly among younger workers. In light of these findings, theoretical implications for researchers and practical suggestions for managers are discussed.     

Utilization of information technology: examining cognitive and experiential factors of post-adoption behavior

This paper investigates factors affecting the post-adoption behavior of first-tier supply chain members within the U.S. automotive industry toward a new information technology. This paper examined a specialized information technology known as the collaborative visibility network (CVN) used within the U.S. automotive industry that provides enhanced part-level visibility to its supply chain affiliates. Using existing research on innovation diffusion, this paper examines cognitive and experiential antecedents of post-adoption behavior. A model grounded in innovation diffusion theory, social learning theory, and the technology acceptance model is proposed and tested. Field interviews followed by a mail survey were used to collect data from 515 first-tier supply chain users of CVN. A structural equation model tested the hypothesized relationships to support the proposed model. Results confirmed the majority of the hypotheses. The opportunity to experiment, training effectiveness, prior experience with a similar technology, and prior technological knowledge have an effect on perceived ease of use and perceived usefulness, which ultimately affect technology performance. Implications of this study along with suggestions for future research are provided.     

SME adoption of IT: the case of electronic trading systems

Literature on the institutional adoption of information technology (IT) can be classified into two approaches, one emphasizing rationalistic goal-oriented behavior and the other focusing on external forces. These approaches, however, are not necessarily mutually exclusive. Organizations adopt IT both to achieve efficiency and in response to a variety of environmental and internal pressures. Consequently, there is a clear need for an integrated model that incorporates both institutional pressures and goal-oriented behavior. We develop, operationalize, and empirically test a model that explains the intention of small and medium-sized enterprises (SME) brokerages to adopt electronic trading systems (ETS). This model integrates the rational factors driving goal-oriented behavior with the internal and external pressures to which these brokerages are subjected. The model is parsimonious, yet explains 67% of the variance in the intention to adopt ETS. The theoretical and practical implications of this model are discussed.     

Technology Acceptance Model for the Use of Tablet PCs

Tablet personal computers (tablet PCs) are popular electronic devices worldwide. They influence many aspects of our social lives. Compared with laptop computers, tablet PCs feature characteristics including enhanced portability and display quality. The purposes of this study were to examine users’ attitudes toward tablet personal computers and identify the effects of external factors. This study extended the technology acceptance model and used perceived mobility and viewing experience as the external variables in the proposed model. This study used a web-based survey of 511 participants and found that perceived usefulness and perceived ease of use were key determinants of attitude toward tablet personal computers. Also, the perceived ease of use and usefulness of tablet PCs were significantly enhanced by perceived mobility and viewing experience. In addition, all traditional relationships from the origin technology acceptance model were supported. Lastly, both implications of the study and areas of future research are discussed.     

Research of Home Information Technology Adoption Model

The Information Technology at Home has caught the attention of various industries such as IT,Home Appliances,Communication,and Real Estate.Based on the information technology acceptance theories and family consumption behaviors theories,this study summarized and analyzed four key belief variables i.e.Perceived Value,Perceived Risk,Perceived Cost and Perceived Ease of Use,which influence the acceptance of home information technology.The study also summaries three groups of external variables.They are social,industrial,and family influence factors.The social influence factors include Subjective Norm;the industry factors include the Unification of Home Information Technological Standards,the Perfection of Home Information Industry Value Chain,and the Competitiveness of Home Information Industry;and the family factors include Family Income,Family Life Cycle and Family Educational Level.The study discusses the relationship among these external variables and cognitive variables.The study provides Home Information Technology Acceptance Model based on the Technology Acceptance Model and the characteristics of home information technology consumption.     

Understanding behavioural intention to use information technology: Insights from humanitarian practitioners

The contemporary research in the area of individual technology adoption mainly focuses on commercial supply chains. However, limited research focuses on the context of humanitarian supply chains. This calls to develop structural models that can scrutinize the technology adoption behaviour of the users in the humanitarian context. Therefore, this study is an attempt to empirically examine the technology adoption behaviour of humanitarian organizations. It extends the unified theory of the acceptance and use of technology (UTAUT) model by integrating personal innovativeness and trust in technology with the behavioural intention to adopt technology in the humanitarian context. Data from 192 humanitarian practitioners, who have experienced a large number of disasters, is utilized to empirically validate the conceptual model. The structural equation modelling results show that - out of four constructs namely performance expectancy, effort expectancy, social influence and facilitating conditions under UTAUT - performance expectancy and effort expectancy significantly affect the IT adoption. Contrary to expectations, trust and personal innovation do not affect the behavioural intention. Also, personal innovation does not moderate the relationship between performance expectancy and effort expectancy. This underlines the need to foster a learning culture within these organizations. The efforts made by involved humanitarian organizations may be directed towards improving the level of education, skills and facilitating them with other resources such as appropriate IT and data mining training, so that the technology adoption becomes an integral part of their daily activities. Finally, detailed implications for humanitarian organizations are discussed.     

Beyond user experience of cloud service: Implication for value sensitive approach

With a value-sensitive approach in mind, a theoretical and empirical analysis was conducted and reported here to explain the factors that influence potential user adoption of cloud computing by integrating quality factors as well as cognitive motivations as primary determining factors. The factors are explored as human values and the methodology how designers should take these values into account is examined. The results show that user intentions and behaviors are largely influenced by the perceived values of cloud services, which include availability, access, security and reliability. These values were found to be the significant antecedents of usefulness and ease of use in cloud computing. Theoretically, the model proposed in this paper advances the existing technology acceptance models and can be used to predict the acceptance and diffusion of cloud computing. Practically, the findings should guide the government and industry promoting cloud services to increase user acceptance by enhancing user experience and ensuring security.     

Business undergraduates’ perceived use outcomes of Moodle in a blended learning environment: The roles of usability factors and external support

This study was designed to explore the effects or roles of usability factors (i.e., perceived ease of use, perceived usefulness, and satisfaction) and external support (i.e., teacher and peer support) on undergraduates’ use outcomes of Moodle in a blended learning environment. The research hypotheses derived from relevant constructs taken from the technology acceptance model, information systems continuance model, and the theory of reasoned action. The study’s dependent variable is use outcomes, which was conceptualized with factors such as academic performance, perceived learning assistance, and perceived impacts on learning. We conducted a cross-sectional survey and collected data from 126 undergraduate students attending a university in the Maritime region of Canada. The partial least squares technique was used to test the hypothesized relationships in the proposed research model. We found that usability factors have positive effects on students’ use outcomes; contrarily to predictions teacher and peer support did not. The findings of the study offer useful insights that can help HE administrators gain an understanding of antecedent factors likely to enhance students’ use outcomes of Moodle.     

Domain-specific innovativeness and new product adoption: A case of wearable devices

Wearable technology has recently started gaining mass market attention, but the actual adoption of the technology is not up to expectations. The current study examines the effects of consumers’ domain-specific innovativeness (DSI) on the adoption of wearable technology. In this study, consumer DSI is first conceptualized to have two dimensions namely, product-possessing innovativeness (PPI) and information-possessing innovativeness (IPI). The effects of PPI and IPI on perceived attributes of wearable technology (relative advantage, social image, aesthetics, and novelty) are then examined, which influence purchase intention. Exploratory and confirmatory factor analyses were conducted on a survey data from young consumers. Structural equation modeling was employed to evaluate the proposed research model. Results demonstrate that 1) the DSI construct must be examined in the two dimensions so that it can properly measure the nature and characteristics of DSI, 2) IPI plays an important role, having a positive effect on all four perceived attributes of IT innovations, 3) PPI has a positive effect on perceived social image and perceived novelty, and finally 4) all perceived attributes of IT innovations have a positive effect on consumers’ purchase intention of wearable devices. Implications for research and practice are discussed.