The advent of the novel coronavirus, also called COVID-19, caused widespread disruptions worldwide. This unprecedented health crisis led to major disruptions in supply chain networks; therefore, innovative strategies and capabilities have the potential to alleviate its impacts. Considering this situation, this study examined how COVID-19 impacted management innovation, the information processing capability, business model innovation, knowledge management capability, and sustainable supply chain performance (SSCP) in Pakistan. To test hypotheses, data were collected from companies in Pakistan engaged in supply chain management or supply chain departments within manufacturing companies, and investigations were carried out employing structural equation modeling. Based on empirical results, COVID-19 outbreaks negatively impacted SSCP, but not management innovation, information processing capability, business model innovation, or the knowledge management capability. Additionally, COVID-19 and SSCP are mediated by management innovation, the processing capability, business model innovation, and the knowledge management capability. By underlining the significance of the resource-based view, dynamic capability, and organizational information processing theories, this research contributes to the body of knowledge on sustainable supply chains. The conceptual model presented in this research may be used in supply chain (SC) and logistics management to reduce COVID-19 disruptions in SC operations and boost profitability during a pandemic.

With the increasing intercity communications and the widespread application of smart travel technologies, it is of great significance to understand the mechanism of how the attributes of smart travel service affect the travel satisfaction among intercity travelers and the potential heterogeneity. This paper establishes a conceptual model with hypotheses from two paths: smart travel service and smart travel experience. Based on the intercity travel survey data of the Guanzhong Plain urban agglomeration in China, a latent class structural equation model is employed to divide the samples into “cold”, “rational”, and “enthusiastic” potential groups based on the use and attitude of smart travel services. From the model estimation results, this study confirms that smart travel service and travel experience satisfaction have significant positive impacts on the overall intercity travel satisfaction of travelers. However, the impact of smart travel satisfaction varies due to group heterogeneity. For the “cold” group, the impact of smart travel service satisfaction on the overall satisfaction of intercity travel is not significant, and smart travel service satisfaction only has a significant impact on the smart travel experience satisfaction of “enthusiastic” travelers. This study puts forward the importance of enhancing the quality of smart travel services and promoting travel experience through smart travel technologies and proposes measures for different groups from the perspective of market segmentation, which provides theoretical and practical value for the promotion of sustainable development of intercity transportation.