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The Coronavirus Disease 2019 (COVID-19) pandemic has reshaped human behaviors and switched communication systems from face-to-face to digital communication technologies. This study aimed to examine how digital transformation practices affect human behavioral change digitally, and how perceived COVID-19 severity affects digital transformation practices and behavioral decisions. We use the traditional theory of planned behavior (TPB) to determine new behavioral roles in the digital era, namely digitally planned and transformed behavior . The quantitative survey method was designed to collect cross-sectional data from 550 Thai citizens to provide the conceptual evidence of key proximal measures of digital attitude, digital social norms, digital behavioral control perception, and the digital behavioral decision to predict digitally planned and transformed behavior. The results show that people are more likely to digitalize than before, which predicts the decision to behave digitally at 93.9% of the variability, more than 75% of the predictive power of the total variance suggested by Hair, Ringle, and Sarstedt [1]. However, the higher the COVID-19 severity, the more likely digital transformation is impactful (β = 0.481). This study provides interesting evidence that people struggle to transform their digital behavior during the pandemic. We demonstrate that digital transformation can offer the desired consequences by cultivating digital attitudes, promoting digital social norms, increasing digital behavioral control perception, and enhancing digital behavioral decisions.

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Retaining human resources is essential for a company's competitiveness. Losing a high-capacity employee can hurt a company's performance. In this study, we investigate the inter-relationship among work-related factors, for instance, job stress, person-environment-fit, and quitting intention of employees in Thailand. Data were collected from 400 office workers in Bangkok, Thailand, utilizing structured questionnaires derived from the conceptual framework. The gathered data were analyzed using the structural equation modeling (SEM) approach. We found that work overload, role ambiguity, and role conflict, as mediated through job stress, would influence employee turnover intention. However, unlike the previous employee turnover intention model that factors were typically mediated through job stress, we found that higher responsibility and greater financial insecurity directly drive turnover intention (positively for financial insecurity but negatively for responsibility).

This study aims to (a) identify perception factors that affect current mobile banking (M-banking) consumers’ continuous use of the technology, (b) explain the self-service technology (STT) dimensions that affect customers’ behavioral intention, and (c) be able to offer recommendations to the banking industry or other organizations related to M-banking in terms of developing M-banking services in the future. Analyzed data were collected from 688 existing Thai M-banking users through online questionnaires. This study used the SPSS and AMOS statistical programs to analyze the data by applying structural equation modeling based on SSTs’ service qualities and the technology acceptance model (TAM). From the results, this analysis shows positive and significant relationships among SSTs’ service qualities, perception, and sustainable intention to use M-banking services. This study provides vital knowledge related to essential characteristics of M-banking as an STT that could assist banking institutions and application providers in enhancing their M-banking products. Moreover, this study adds to the knowledge area of SSTs’ service qualities in financial mobile application dimensions.

This research aims to study the success factors of an online entrepreneur. With the recent rapid growth of the online market for different goods and services, the need to investigate the business strategy of online entrepreneurs in specific markets such as in Thailand and extract relevant success factors is dire. The researcher collected data by using a seven-point Likerttype scale that measured the responses of 180 online businesses in Bangkok, Thailand. The study used Structural Equation Modeling (SEM) and Statistical Package for the Social Sciences (SPSS) for statistical analysis. The results indicated that the thirteen most relevant factors related to an online entrepreneur are ACO, EOU, government support, networking, risktaking propensity, reliability, AFF, BIM, logistics and transportation, product quality, product price, advertising on social media and staff and employee.

Small-and medium-sized enterprises (SMEs) have played an incomegenerating role in economic notions of prosperity in many developed countries, especially Thailand. Inside green economy, fostering eco-innovation by open innovation has become an increasingly new normal issue in Thailand. The ability to identify and collaborate with external knowledge sources and eco-innovative characteristics of SMEs is of essence to policy-makers and firm practitioners. This paper aims to shed the new light on the adoption of open innovation into eco-innovation which leads to the open innovation mode. Simultaneously, eco-innovation requires green management practices to interact with the concept of open innovation. Through structural equation modelling, 636 firms were collected and employed to estimate the proposed model. The prominent results verify: (1) open innovation ABOUT THE AUTHORS

The issues of the relationship between the innovative maturity of enterprises, the orientation of small- and medium-sized enterprises (SMEs) to the principles of sustainability, and the expansion of their participation in sustainable development with business efficiency are very important and interesting. In this case, it is important to find a good balance between a policy that focuses on sustainable development and businesses’ needs. This will help SME companies be as efficient as possible and have the least amount of impact on the environment. This is especially important for countries where small- and medium-sized businesses are the main driving force of the country’s economy. This research aims to examine how the conceptualizations of intellectual capital (e.g., relational capital, social capital, and structural capital) affect open innovation and sustainability-oriented initiatives to foster open sustainability innovation for small- and medium-sized businesses. Using structural equation modeling based on second-order factor analysis, survey data were collected from 481 SMEs in Thailand. Intellectual capital in SMEs enhances opportunity recognition in SMEs to develop open sustainability innovation, while sustainability-oriented initiatives and an open innovation strategy should be well-placed. SMBs and business policymakers should pay attention to the idea of intellectual capital in terms of socio-rational resources, in which open sustainability innovation projects could be developed through sustainable cooperation.