Issues in Predicting and Explaining Usage Behaviors with the Technology Acceptance Model and the Theory of Planned Behavior When Usage Is Mandatory

Within certain industries there is an increasing prevalence toward computerizing work practices and mandating specific tasks performed using an Information System (IS). This trend is unlikely to diminish the need for stakeholders, involved in the implementation of an IS, to identify the determinants of successful use. Yet, to date, there is a paucity of research that has considered the issues specific to predicting and explaining user behavior in these situations. In this paper, we identify the relevant issues necessary for applying the technology acceptance model and the theory of planned behavior to the prediction and explanation of mandated IS usage, and we assess the value of these models to the task. The results of a longitudinal study conducted in a hospital setting are presented and we suggest the direction that future research might take

Adoption of speech recognition technology in community healthcare nursing

© 2016 IMIA and IOS Press. Adoption of new health information technology is shown to be challenging. However, the degree to which new technology will be adopted can be predicted by measures of usefulness and ease of use. In this work these key determining factors are focused on for design of a wound documentation tool. In the context of wound care at home, consistent with evidence in the literature from similar settings, use of Speech Recognition Technology (SRT) for patient documentation has shown promise. To achieve a user-centred design, the results from a conducted ethnographic fieldwork are used to inform SRT features; furthermore, exploratory prototyping is used to collect feedback about the wound documentation tool from home care nurses. During this study, measures developed for healthcare applications of the Technology Acceptance Model will be used, to identify SRT features that improve usefulness (e.g. increased accuracy, saving time) or ease of use (e.g. lowering mental/physical effort, easy to remember tasks). The identified features will be used to create a low fidelity prototype that will be evaluated in future experiments

Developing an extended technology acceptance model: Doctor's acceptance of electronic medical records in Jordan

The purpose of this study is to construct doctors’ acceptance model of Electronic Medical Records (EMR) in private hospitals.The model extends the Technology Acceptance Model (TAM) with two factors of Individual Capabilities; Self-Efficacy (SE) and Perceived Behavioral Control (PBC).The initial findings proposes additional factors over the original factors in TAM making Perceived Usefulness (PU), Perceived Ease Of Use (PEOU), Behavioral Intention to use (BI), SE, and PBC working in incorporation.A cross-sectional survey was used in which data were gathered by a personal administered questionnaire as the instrument for data collection.Doctors of public hospitals were involved in this study which proves that all factors are reliable

Attitudes and Behaviors of Clinical Staff Toward an Electronic Medical Record System

This paper presents some of the results of attempting to measure the attitudes and behaviors of clinical staff of a medium size community hospital toward acceptance of the EMR technology and determine if implied benefits were achieved. The research indicates that the clinical workers’ perception of improved patient care is affected by their perceptions of the ease of use and perceived usefulness of the EMR. Although the clinicians have adopted this EMR into their daily practice, they have not adopted alternative information technology that implements this EMR. We will report a preliminary analysis of this phenomenon as well

Extending the Technology Acceptance Model in Healthcare: Identifying the Role of Trust and Shared Information

We propose extensions to the Technology Acceptance Model for the adoption of integrated electronic health records that are shared by multiple health care providers. In particular, we propose a conceptual model in which we incorporate two new factors, trust and access to shared information, into the Technology Acceptance Model. Preliminary results confirm the statistically significant and positive impact of perceived usefulness on behavioral intent to use integrated electronic health records and a significant and positive impact of perceived ease of use on perceived usefulness. We also find a statistically significant effect of shared information on behavioral intent to use integrated health records. We expect that further analysis of additional data we are collecting will offer improved insights into the effects of these factors on intention to use integrated electronic health records

Changes in User Attitudes and User Expectation: A Longitudinal Study of a Thai State Owned Enterprise

With a paucity of longitudinal studies done in the stream of Technology Acceptance Model, a longitudinal case study research was conducted with a large state Owned enterprise (SOE) in Thailand that has gone through an ERP implementation project. To provide a more comprehensive perspective of the process of user acceptance of ERP, data were collected from two phases of the implementation process in order to capture the change of user attitudes and user expectation and examine how these two constructs are related to intention to system usage. This study presents a prospective combining view of Technology Acceptance Model (TAM) and the expectancy theory to examine how ERP users form their attitudes and expectations throughout the course of ERP implementation

The Applicability of an Extended Technology Acceptance Model for Electronic Medical Records in Jordan

Electronic Medical Record (EMR) is able to reduce medical errors, cost and time for data storage and retrieval. It is also capable of improving information workflow and work efficiency. Despite the benefits of using EMR, low acceptance among doctors is a common problem in many countries including Jordan. The present acceptance studies of EMR have yet to integrate Self-Efficacy and Perceived Behavioural Control as individual capabilities that influence Perceived Usefulness and Perceived Ease of Use among doctors in Jordan. Therefore, the main objective of this study is to develop an extended Technology Acceptance Model that measures doctor’s acceptance of EMR in private hospitals in Jordan by incorporating three perspectives: individual capabilities, technological, and behavioural. Self-Efficacy and Perceived Behavioural Control were added as factors of individual capabilities perspective while Perceived Usefulness and Perceived Ease of Use were included as technological perspective, and Behavioural Intention as a factor for behavioural perspective. This study applied a Cross-Sectional survey, and used the Random Sampling technique to select the sample in the targeted hospitals in Jordan. This study also used self-administered questionnaires. In validating the model, the data were analysed using the Structural Equation Model, based on the Partial Least Square approach. The findings indicated that Perceived Usefulness has a positive direct effect on Behavioural Intention to use EMR, and Self-Efficacy has a direct effect on Perceived Ease of Use. Furthermore, Perceived Behavioural Control has a direct positive effect on Perceived Usefulness and Perceived Ease of Use. These outcomes could assist the healthcare top management in restructuring their strategic planning to improve the EMR implementation. In future, this model can be further tested and extended in other Information Technology (IT) applications, which means that this model can be generalized into the IT domain

The Technology Acceptance Model: Past, Present, and Future

While the technology acceptance model (TAM), introduced in 1986, continues to be the most widely applied theoretical model in the IS field, few previous efforts examined its accomplishments and limitations. This study traces TAM\u27s history, investigates its findings, and cautiously predicts its future trajectory. One hundred and one articles published by leading IS journals and conferences in the past eighteen years are examined and summarized. An open-ended survey of thirty-two leading IS researchers assisted in critically examining TAM and specifying future directions