The roles of constraint-based and dedication-based influences on user's continued online shopping behavior.

The objective of this study was to determine empirically the role of constraint-based and dedication-based influences as drivers of the intention to continue using online shopping websites. Constraint-based influences consist of two variables: trust and perceived switching costs. Dedication-based influences consist of three variables: satisfaction, perceived usefulness, and trust. The current results indicate that both constraint-based and dedication-based influences are important drivers of the intention to continue using online shopping websites. The data also shows that trust has the strongest total effect on online shoppers' intention to continue using online shopping websites. In addition, the results indicate that the antecedents of constraint-based influences, technical bonds (e.g., perceived operational competence and perceived website interactivity) and social bonds (e.g., perceived relationship investment, community building, and intimacy) have indirect positive effects on the intention to continue using online shopping websites. Based on these findings, this research suggests that online shopping websites should build constraint-based and dedication-based influences to enhance user's continued online shopping behaviors simultaneously.

The roles of constraint-based and dedication-based influences on user’s continued online shopping behavior

The objective of this study was to determine empirically the role of constraint-based and dedicationbased influences as drivers of the intention to continue using online shopping websites. Constraintbased influences consist of two variables: trust and perceived switching costs. Dedication-based influences consist of three variables: satisfaction, perceived usefulness, and trust. The current results indicate that both constraint-based and dedication-based influences are important drivers of the intention to continue using online shopping websites. The data also shows that trust has the strongest total effect on online shoppers’ intention to continue using online shopping websites. In addition, the results indicate that the antecedents of constraint-based influences, technical bonds (e.g., perceived operational competence and perceived website interactivity) and social bonds (e.g., perceived relationship investment, community building, and intimacy) have indirect positive effects on the intention to continue using online shopping websites. Based on these findings, this research suggests that online shopping websites should build constraint-based and dedication-based influences to enhance user's continued online shopping behaviors simultaneously (AU)

El objetivo de este trabajo fue comprobar experimentalmente el papel que juegan las técnicas basadas en la coacción o en la dedicación como impulsoras del uso de páginas web de compra on-line. Las influencias basadas en la coacción presentan dos variables: confianza y cambio de coste percibido. Las influencias basadas en la dedicación muestran tres variables: satisfacción, utilidad percibida y confianza. Los resultados indicaron que ambas influencias son importantes impulsores de la intención de continuar usando páginas web de compra on-line. Los datos mostraron que la confianza era la variable más influyente en la intención del uso de estas páginas web. Adicionalmente, los resultados indicaron que los antecedentes de las influencias basadas en la restricción, en cadenas técnicas (v.gr., competencia operacional percibida e interactividad percibida del sitio web) y las redes sociales (v.gr., inversión en relaciones percibida, comunidad e intimidad) tuvieron efectos indirectos positivos en la intención de continuar usando páginas web de compra on-line. De acuerdo con estos resultados, se sugiere que dichas páginas web deberían usar tanto influencias basadas en la restricción como en la dedicación para incrementar el uso continuado de la conducta de compra on-line (AU)

An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry.

PURPOSE: Ever since National Health Insurance was introduced in 1995, the number of insurants increased to over 96% from 50 to 60%, with a continuous satisfaction rating of about 70%. However, the premium accounted for 5.77% of GDP in 2001 and the Bureau of National Health Insurance had pressing financial difficulties, so it reformed its expenditure systems, such as fee for service, capitation, case payment and the global budget system in order to control the rising medical costs. Since the change in health insurance policy, most hospitals attempted to reduce their operating expenses and improve efficiency. Introducing the electronic logistics information system is one way of reducing the cost of the department of central warehouse and the nursing stations. Hence, the study proposes a technology acceptance research model and examines how nurses' acceptance of the e-logistics information system has been affected in the medical industry. METHODS: This research combines innovation diffusion theory, technology acceptance model and added two research parameters, trust and perceived financial cost to propose a new hybrid technology acceptance model. Taking Taiwan's medical industry as an experimental example, this paper studies nurses' acceptance of the electronic logistics information system. The structural equation modeling technique was used to evaluate the causal model and confirmatory factor analysis was performed to examine the reliability and validity of the measurement model. RESULTS: The results of the survey strongly support the new hybrid technology acceptance model in predicting nurses' intention to use the electronic logistics information system. CONCLUSION: The study shows that 'compatibility', 'perceived usefulness', 'perceived ease of use', and 'trust' all have great positive influence on 'behavioral intention to use'. On the other hand 'perceived financial cost' has great negative influence on behavioral intention to use.