Strengthening municipal resilience through digital governance maturity

In this present age of globalization, the logistics and transportation industry has become an integral part of most businesses/firms as it is aimed at ensuring the effective movement of people, distribution of goods and services from one location to another on time. Therefore, this paper aims to analyze the impact of COVID-19 on the logistics and transportation sectors. The qualitative research approach was adopted using analysis and synthesis of scientific literature, data from news reports, organizational sites, and a case study of data contents. The paper presented the analysis of negative and positive effects of COVID-19 on the logistics and transportation industry. The study also discusses possible strategies and further steps for improvement of the logistics and transportation sector, including the automation and introduction of other technologies, a sustainable and flexible transportation system, cooperation of logistics and transportation business. Findings regarding the positive implications of COVID-19 show noticeable advancements in the logistics and transportation sector, such as the rise of e-commerce businesses with efficient delivery options, and the development of 3rd party logistics services as more companies outsource supply chain operations. The study revealed the importance of strategic planning with a joint effort from the research centers, public sector, private sector, and educational institutions as one of the proposed solutions for the logistics and transportation industry.

This study aims to investigate the role of Fintech in predicting the spread of COVID-19 based on consumers’ Fintech perceptions and behavior before and after the outbreak of COVID-19. The study used a questionnaire-based survey distributed in different countries of the world using the LinkedIn platform for this purpose to reach the targeted population. The snowball sampling technique was used. The study targeted consumers with Fintech experience, especially in digital payments services. 507 samples were retrieved. For the analysis, the Structural Equation Modeling (SEM) was used. The study revealed novel results in predicting COVID-19 spread; these three variables (Fintech Behavior before COVID-19, Fintech Behavior after COVID-19, and Fintech Perception after COVID-19) could predict 52.5% of the variance in the dependent variable (COVID-19 Spread) (R² = 0.525, p < 0.05). The findings show that Higher Fintech perception and behavior among Fintech users will help in reducing the spread of COVID-19 by avoiding the use of contact payment methods. Contactless payment methods are the main tools in Fintech that might help in avoiding the probability of COVID-19 spread. Consumers’ Fintech perceptions and behavior are the most influencing factors that could predict the spread of COVID-19 in this study, where digital payments are the main concern. It is recommended that consumers adopt digital payment methods and tools, especially contactless payment methods, to fulfill their financial services. Other researchers are also encouraged to use the same model to predict the spread of this virus in the Fintech context.

After restrictions on community activities caused by the COVID-19 pandemic were lifted, numerous businesses, including restaurants and cafes, have already resumed normal operations. Competition is also unavoidable. Thus, companies should motivate their managers to develop various operational strategies to increase customer satisfaction. This study aims to analyze the relationship between customer satisfaction and operational management activities, including layout, decoration, location, and cleanliness. In addition, it examines human resource management, food quality, and atmosphere as mediating variables. Data were obtained using an online questionnaire conducted between June and December 2021. A total of 1,068 clients of cafes and restaurants were selected as the participants using purposive random sampling. Data were evaluated using variance-based structural equation modeling. The results showed that operational management activities promote cafes and restaurants (p-value = 0.000). Furthermore, this study indicates the role of infrastructure elements, specifically human resource management, atmosphere, and food quality, as moderating variables on customer satisfaction (p-value = 0.000). Overall, the findings of this empirical study provide a theoretical contribution by emphasizing cafe and restaurant operational strategies that enhance customer satisfaction.