eHealth service has received increasing attention. Patients can consult online doctors via the Internet, and then physically visit the doctors for further diagnosis and treatments. Although extant research has focused on the adoption of eHealth services, the decision-making process from online to offline health services still remains unclear. This study aims to examine patients’ decisions to use online and offline health services by integrating the extended valence framework and the halo effect. By analyzing 221 samples with online consultation experiences, the results show that trust significantly influences perceived benefits and perceived risks, while trust, perceived benefits, and perceived risks significantly influence the intention to consult. The intention to consult positively influences the intention to visit. Considering the moderating effects of payment types, the influence of perceived risks on the intention to consult is larger for the free group than for the paid group. The findings are useful to better understand patients’ decisions to use eHealth.
PurposeStructural equation modeling was conducted, and a sample with 577 consumers was investigated.Design/methodology/approachBased on the stimulus–organism–response (SOR) model, this study aims to explore how channel integration affects usage intention through perceived value in food delivery platform (FDP) services. Moreover, the author also examines the moderating effects of personal innovativeness and experience on the relationships in the model.FindingsThe study found that channel integration affects usage intention through perceived usefulness, perceived enjoyment and perceived price. Moreover, the moderating effects of personal innovativeness and experience are both significant in the model.Research limitations/implicationsThis study found that perceived usefulness, perceived enjoyment and perceived price are three major values influencing the relationship between channel integration and usage intention in FDP services. Moreover, for consumers with high personal innovativeness, perceived usefulness, perceived enjoyment, social image and perceived risk affecting usage intention will be weaker than for consumers with low personal innovativeness. However, for highly experienced consumers, perceived usefulness, perceived enjoyment and perceived price affecting usage intention will be stronger than for less experienced consumers.Practical implicationsThis study suggests that practitioners should develop value-driven innovative services and activities by integrating various channels for customers. Moreover, they should segment consumers on the basis of different levels of personal innovativeness and experience to provide different strategies for increasing the intention to use the service.Originality/valueThis study advances the extant knowledge of the SOR model in the context of online-to-offline commerce.
The Chinese government is promoting a waste classification policy to solve the increasingly serious issue of cities being besieged by waste. Only few studies investigate whether residents’ understanding of garbage classification policy has an impact on their garbage classification behaviour and the nature of such impact. The purposes of this study are twofold: first, to explore conceptually the mechanism behind any moderating effects of perceived policy effectiveness (PPE) on waste classification and, second, to examine empirically if and how PPE influences the relationships between attitude (ATT), subjective norm (SN), perceived behaviour control (PBC), awareness of consequence (AC) and waste classification intention (WCI). The conceptual model of the study is developed by combining insights from the theory of planned behaviour, norm activation theory and value–belief–norm theory. A total of 351 questionnaires were administered in person to households in Bengbu, China. The results based on structural equation modelling with partial least squares show that PPE negatively moderates the relationship between AC and WCI. AC is more strongly related with the intention to classify waste when PPE is weaker. Likewise, when PPE is higher, people’s awareness of consequences becomes less important for WCI. The findings have significant implications in policymakers’ developing guidelines and offer a framework for implementing more effective waste classification policy.
This study determined the effects of techno-stressors on employees' well-being. It also determined the moderating role of technostress inhibitors in techno-stressors and employees' well-being. We employed a time-lagged design and self-administered survey method to collect data from banking employees. We retrieved 355 usable responses. The results showed that techno-stressors significantly and negatively affected employees' well-being. Technostress inhibitors significantly and positively affected the employee's well-being. The moderating effects of techno-stressors and technostress inhibitors showed that six of nine moderating effects were significant and positive. The results implied that technostress inhibitors help to improve employees' well-being. In the end, we present some implications for theory and practice.