Purpose This paper aims to study knowledge sharing behavior in online brand community (OBC), considering the instantaneous change of consumers’ self-efficacy, knowledge and non-linear characteristic of sharing behavior. It also explores the influence of two external forces, namely, community growth and product innovation. Design/methodology/approach An objected model reflecting knowledge dynamics is developed to observe knowledge sharing performance in OBC, and then an agent-based simulation is used to run computational experiments on knowledge sharing difficulty, experience, product innovation and community growth to observe consumers’ knowledge sharing performance. Findings It is observed that the difficulty of successful knowledge sharing is indeed related to knowledge sharing performance. In addition, direct experience can enhance consumers’ self-efficacy that further urges consumer to share knowledge. Although product innovation causes a sudden decrease in knowledge sharing performance, it also arouses consumers’ desire for new knowledge which benefits consumers’ knowledge sharing. However, the disruption caused by product innovation eventually outweighs its benefit. Finally, a growing community is found to be bad for sharing knowledge. The slower the OBC grows, the better the knowledge sharing performs. Originality/value This study highlights the dynamic changes of knowledge sharing in OBC; particularly, the simulation model in this paper accounts for the direct and dynamic effects of several important factors on knowledge sharing performance amid interruption. The research results can provide decision support for firm managers.

The COVID-19 outbreak has drastically altered the behavior of tourists, posing a significant challenge to countries that heavily rely on the tourism industry to develop sustainable policies. This study utilizes structural equation modeling (SEM) techniques to analyze the effects of four variable groups on travel decisions during the pandemic. These groups include tourism potential, tourism logistics efficiency, the impact of COVID-19 on tourism potential, and the impact of COVID-19 on logistics efficiency. We collected data from a sample group of 943 foreign tourists visiting Thailand through online and on-site questionnaires. Our findings reveal that accommodation and information flow were the most significant factors affecting travel decisions during the pandemic, while the mode of transport had minimal impact. Based on our results, we recommend that post-COVID-19 tourism policies focus on improving accommodation quality and hygiene standards and building networks that offer comprehensive and up-to-date information about the pandemic. Our proposed approach is more efficient and cost-effective than mobilizing resources across all tourism industry sectors. It promotes sustainable tourism recovery planning while minimizing adverse effects on the community. These results are particularly relevant to stakeholders and policymakers who have been heavily affected by the COVID-19 pandemic and need to develop effective tourism policies.

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The main purpose of this study was to analyze the impact of logistics on the customer satisfaction of the retail stores, in the twin cities of the Islamabad and Rawalpindi. The factors of logistics in the study were inventory, lead time, transportation and logistics. A survey questionnaire divided into two parts was adopted, one part for the factors of logistics and the other one for customer satisfaction for the measurement of variables in the research. Where the introductory portion deals with the demographic items and then the first part contain items tend to identify the score for each factor of logistics and then second part is for the customer satisfaction. In the study through convenient sample technique 200 stores of the twin cities of Islamabad and Rawalpindi are chosen for research. The findings of the research demonstrate that factors of logistics which are inventory, lead time, transportation and logistics doe's effect customer satisfaction. Moreover, logistics has shown positive relationship with customer satisfaction of the retail stores. In conclusion, results have shown significant interaction of customer satisfaction with inventory, lead time, transportation and logistics. The study covers only the geography of Islamabad and Rawalpindi in the present research therefore; to have more better and generalizable insights future studies must include investors from other parts of the country. However, large sample size can also be used in the future studies. Practices like multiple effective transportation system, which reduces the lead time and maintaining the inventory in the stores and to make sure the availability of the products required by the customer is important for the customer satisfaction. Till date, few studies are done in this context, so this study will help in the academics and the customer satisfaction in the retail.