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Information seeking behavior and technology adoption : theories and trends / Mohammed Nasser Al-Suqri and Ali Saif Al-Aufi, editors.

Technology and consumption : understanding consumer choices and behaviors / Ruby Roy Dholakia.

This study focuses on predicting the online purchase intention of consumers purchasing from e-commerce platforms using an integrated model of the theory of planned behavior (TPB) and extended technology acceptance model (TAM). The results showed that TAM factors, perceived value, and perceived enjoyment had significant effects on attitude toward online purchase, while the TPB inputs, perceived enjoyment, and e-commerce exchange image played strong roles in influencing online purchase intention. The results also showed that perceived enjoyment helped to raise the predictive power of attitude dramatically, while the e-commerce exchange image contributed a high portion to explain online purchase intention variation. The results indicated that the e-commerce trading platforms need to focus on improving their images and on increasing customers’ experience to improve their business performance.
Plain Language Summary
Prediction of online purchase intention on e-commerce platforms
This study focuses on predicting the online purchase intention of consumers purchasing from e-commerce platforms using an integrated model of the theory of planned behavior (TPB) and technology acceptance model (TAM). The study proposed a model with 13 hypotheses from the literature review. The hypotheses were tested using data collected from 326 e-commerce consumers in Vietnam. The PLS-SEM approach was used for analysis. The results showed that TAM factors, perceived value and perceived enjoyment had significant effects on attitude towards online purchase, while attitude, perceived enjoyment and e-commerce exchange image played strong roles influencing online purchase intention. The results also showed that the perceived enjoyment helped to raise the predictive power of attitude dramatically, while e-commerce exchange image contributed a high portion to explain online purchase intention variation. Other specific contextual factors may be incorporated into the integrated model to better explain online purchase intention. The results indicated that the e-commerce trading platforms need to focus on improving their image and on increasing customers’ experience in order to improve their business performance. This is among the first studies that investigates the integration of the TPB and TAM for e-commerce behavioral intention research incorporating e-commerce exchange image as an important factor that affects online purchase intention. The new integrated model has verified its value to considerably enhance the capability to predict the variations of attitude towards online purchase and online purchase intention.

SAGE open, 2023-10, Vol.13 (4)

Online Purchase Intention Under the Integration of Theory of Planned Behavior and Technology Acceptance Model

The rapid growth of investment in information technology (IT) by organizations worldwide has made user acceptance an increasingly critical technology implementation and management issue. While such acceptance has received fairly extensive attention from previous research, additional efforts are needed to examine or validate existing research results, particularly those involving different technologies, user populations, and/or organizational contexts. In response, this paper reports a research work that examined the applicability of the Technology Acceptance Model (TAM) in explaining physicians' decisions to accept telemedicine technology in the health-care context. The technology, the user group, and the organizational context are all new to IT acceptance/adoption research. The study also addressed a pragmatic technology management need resulting from millions of dollars invested by healthcare organizations in developing and implementing telemedicine programs in recent years. The model's overall fit, explanatory power, and the individual causal links that it postulates were evaluated by examining the acceptance of telemedicine technology among physicians practicing at public tertiary hospitals in Hong Kong. Our results suggested that TAM was able to provide a reasonable depiction of physicians' intention to use telemedicine technology. Perceived usefulness was found to be a significant determinant of attitude and intention but perceived ease of use was not. The relatively low R-square of the model suggests both the limitations of the parsimonious model and the need for incorporating additional factors or integrating with other IT acceptance models in order to improve its specificity and explanatory utility in a health-care context. Based on the study findings, implications for user technology acceptance research and telemedicine management are discussed.

Journal of management information systems, 1999-09, Vol.16 (2), p.91-112

Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology

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Information seeking behavior and technology adoption : theories and trends / Mohammed Nasser Al-Suqri and Ali Saif Al-Aufi, editors.

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Technology and consumption : understanding consumer choices and behaviors / Ruby Roy Dholakia.

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Online Purchase Intention Under the Integration of Theory of Planned Behavior and Technology Acceptance Model

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Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology

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