Factors influencing Chinese flower and seedling family farms’ intention to use live streaming as a sustainable marketing method: an application of extended theory of planned behavior

Author(s):  
Zhimin Wang ◽  
Jing Li ◽  
Panpan Chen
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yaping Liu ◽  
Huike Shi ◽  
Yinchang Li ◽  
Asad Amin

Purpose This study aims to explore the factors influencing the post-pandemic intentions of Chinese residents to participate in outbound travel. The mechanism by which residents' perception of the coronavirus disease (COVID-19) influenced their outbound travel intentions are studied. Design/methodology/approach This study developed an extended theory of planned behavior (TPB) model and used structural equations to analyze data received from 432 questionnaires. Responses were obtained through a combination of online surveys and a traditional paper-based distribution of questionnaires. Findings Results showed that attitude, subjective norms, perceived behavioral control and past outbound travel behavior have significant positive effects on post-pandemic outbound travel intentions. Although the perception of COVID-19 directly and negatively influences outbound travel intentions, it also has an indirect influence on outbound travel intentions through the mediating effect of non-pharmaceutical interventions. The authors also found that risk tolerance has a negative moderating effect on the direct impact of residents' perception of COVID-19 on their travel intentions. Practical implications The findings can serve as a reference for formulating appropriate tourism development policies by government agencies, tourism management departments and tourism enterprises in destination countries. Originality/value This study developed an extended TPB model by adding more constructs into the TPB model. Compared with the original TPB model, the extended TPB model has better explanatory power of post-pandemic travel intentions. The study also provides evidence for the applicability of the TPB model in studying travel intentions within the context of major public health emergencies and has expanded the application scope of the TPB model.


Author(s):  
Alia Besbes Sahli ◽  
Patrick Legohérel

The purpose of this article is to investigate the factors influencing the intention to use the Internet to book tourism products online in Tunisian context. To this end, the authors selected the Decomposed Theory of Planned Behavior (DTPB) to help account for the intention to book online. The authors conduct an online survey. Data was obtained from 158 questionnaires and analyzed through regression. The study demonstrated the importance of causal relationships between predictor variables and the dependent variable, namely the intention to book online. A novel result, perceived usefulness does not admit a positive impact on the attitude towards online booking. Thus, the study has confirmed the explanatory power of the DTPB model in accounting for consumers' behavioral intention in the context of e-tourism.


Author(s):  
Yogi Tri Prasetyo ◽  
Hans Tanto ◽  
Martinus Mariyanto ◽  
Christopher Hanjaya ◽  
Satria Fadil Persada ◽  
...  

Online food delivery service (OFDS) has been widely utilized during the new normal of COVID-19 pandemic especially in a developing country such as Indonesia. The purpose of this study was to determine factors influencing customer satisfaction & loyalty in OFDS during the new normal of COVID-19 pandemic in Indonesia by utilizing an extended Theory of Planned Behavior (TPB) approach. 253 respondents voluntarily participated and answered 65 questions. Structural equation modeling (SEM) indicated that Hedonic Motivation (HM) was found to have the highest effect on customer satisfaction, followed by Price (P), Information Quality (IQ), and Promotion (PRO). Interestingly, this study found out that usability factors such as Navigational Design (ND) and Perceived Ease of Use (PEOU) were not significant to customer satisfaction and loyalty in OFDS during the new normal of COVID-19. This study can be the theoretical foundation that could be very beneficial for OFDS investors, IT engineers, and even academicians. Finally, this study can be applied and extended to determine factors influencing customer satisfaction and loyalty in OFDS during the new normal of COVID-19 in other countries.


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