The purpose of this study was to investigate the factors determining the behavioral intention of using food delivery apps (FDAs) during COVID-19 pandemics, under a case study of Bangkok, Thailand. The study was necessitated by the increased use of FDAs during the lockdown; online transactions were considered important in preventing the spread of the virus. The study used quantitative techniques involving structural equation model (SEM) to evaluate the effects of exogenous variables on endogenous variables. Primary data were collected from people who had installed and used FDAs. The findings indicated that performance expectancy, effort expectancy, social influence, timeliness, task technology fit, perceived trust, and perceived safety significantly influence the behavioral intention to use (BIU) to use food delivery apps during the COVID-19 pandemic. To this end, effort should be intensified to study and understand FDAs as it pertains to safety and usage.

Since environmental issues are becoming an integral part of business performances, policymakers and managers have started recognizing the importance of green innovation towards sustainable business performances. The role of the automotive parts industry is crucial in minimizing environmental degradation and promoting sustainable development. Yet few studies have focused on the connection between green entrepreneurial orientation and green innovation that may affect small and medium enterprise (SME) business performance. Therefore, this study aims to analyze the influence of green entrepreneurial orientation on green innovations, and its effects on sustainable business performances in the automotive parts industry in Thailand. The sample consists of 226 SMEs in the automotive parts industry in Thailand. The partial least square method (PLS-SEM) has been used for the analysis of data. The results of the study show that green innovations have the strongest influence on economic and environmental performances. This study contributes to resource-based view theory by incorporating green innovation as a strategic competency of SMEs’ performance. Further, green entrepreneurial orientation and green innovation can assist SME managers in understanding the factors leading to sustainable performance of businesses.

The objective of this study was to investigate the factors that influence the consumer adoption of renewable energy in Thailand. The study adopted an extended theory of planned behavior (TPB) by including three additional variables. The study applied a quantitative study methodology, with primary data collected using a survey of consumers in five major cities in Thailand. The data were analyzed using structural equation modeling (SEM). The findings of the study indicated that perception of self-effectiveness, environmental concern, renewable energy awareness, and beliefs about renewable energy benefits have a significant and positive effect on consumers’ intention to adopt renewable energy. The cost of renewable was found to have a negative but non-significant influence on consumers’ adoption of renewable energy, while risk/trust perception was found to have a positive but non-significant influence on consumers’ adoption of renewable energy. The study concluded that stakeholders should take into account the aspects of perception of self-effectiveness, environmental concern, renewable energy awareness, and beliefs about renewable energy benefits when running campaigns to promote the consumer adoption of renewable energy in Thailand

This study empirically investigated the marketing perspectives of behavioral intention and the actual use of digital payment solutions as electronic innovation for retail purchases in Thailand. This is important as leveraging digital innovation can be applied to minimize physical contact between retailers and customers, especially in the COVID-19 era. The UTAUT model was used and extended to include attitude, social distancing, and perceived risk variables. The study was conducted using primary data collected from 467 Thai respondents who used digital payment systems as a means of payment in retail purchases. The study data were collected employing a structured questionnaire. Techniques used in data analysis include Confirmatory Factor Analysis and Structural Equation Modeling. The results from the data analysis highlighted that behavioral intention to use digital payment innovation in Thailand was influenced by Perceived Risk (PR), Facilitating Condition (FC), Performance Expectancy (PE), and Attitudes (AT) of people. The study also revealed that exploring the marketing perspectives, Behavioral Intention (BI) significantly influenced the Actual Use (AU) of digital payment systems. The implication is that stakeholders in retail and financial sectors, such as banks and other digital payment providers, should consider aspects of people’s attitudes and perceived risk as they influence the use and adoption of innovative digital payment solutions. Thus, it is, appropriate to propose policies and regulations that promote the effective use of digital payment systems in the Thai retail sector. Acknowledgment This work is supported by King Mongkut’s Institute of Technology Ladkrabang.