Initial coin offerings (ICOs), or token offerings, play a critical role in the digital economy as they are blockchain-based smart contracts used to raise funds by issuing cryptocurrency tokens (Momtaz, 2020). This research aims to study the factors affecting the acceptance of ICOs for investment and to study whether cognition in ICO investment affects decision-making in investment in Thailand. In this quantitative study, the data were collected from online questionnaires completed by a sample group of 402 Thai investors who currently invest in financial instruments, and then the data were analyzed using binary logistic regression. The findings revealed that income, the value of investing in financial instruments, saving, perception towards media, and cognition in investment have an influence on the acceptance of ICOs. The paper suggests that investors who are interested in investing in ICOs should study the risks of investment thoroughly before investing. Besides, relevant government agencies should clearly set the rules and regulations in order to protect the inventors and, in the meanwhile, the fundraising could not be obstructed as well.

The widespread adoption of digital technologies in various economic activities paves the way for the establishment of a unified digital space. ChatGPT, an artificial intelligence language model, can generate increasingly realistic text, with no information on the accuracy and integrity of using these models in scientific writing. This study aims to investigate factors influencing public perceptions toward the acceptance of ChatGPT as the Robo-Assistant, using a mixed method. The quantitative approach in this study employed convenience sampling to collect data through closed-ended questionnaires from a sample size of 1,880 respondents. Statistical analysis software was used for data analysis. The researchers used binary regression to examine the relationship between various independent variables (such as score, gender, education, social media usage) and the acceptance of ChatGPT, as dependent variable. As part of the qualitative approach, in-depth interviews were conducted with a purposive sample of six participants. The qualitative data was analyzed using the content analysis method and the NVivo software program. Findings show that ChatGPT awareness and usage are influenced by variables like score, gender, education, and social media usage. Occupation and monthly income were not significant factors. The model with all independent variables was able to predict the use of ChatGPT as the Robo-Assistant in Thailand with an accuracy rate of 96.3%. The study also confirms acceptance of ChatGPT among Thai people and emphasizes the importance of developing sociable robots that consider human interaction factors. This study significantly enhances our comprehension of public perceptions, acceptance, and the prospective ramifications associated with the adoption of ChatGPT as the Robo-Assistant. The acquired findings offer indispensable guidance for the effective utilization of AI models and the advancement of sociable robots within the domain of human-robot interaction.

The transformation from a rural to an urban economy has resulted in modifications to population structure, manufacturing processes, and the social and political environment (Ritchie & Roser, 2019). To address urbanisation-related issues, the push toward smart cities has been accelerated (Adiyarta et al., 2020). To turn Pathum Thani, Thailand, into a smart city promptly, a number of problems must be resolved. This research aims to assess the strengths and shortcomings of Pathum Thani’s efforts to become a smart city and to rate the importance of each application domain for smart cities. A representative sample of Pathum Thani locals was examined. For data analysis, the 5-point Likert scale and the priority needs index (PNI) were implemented. The findings show that Pathum Thani’s potential to become a smart city is highest in the field of smart energy and weakest in all other areas. When ranking the significance of the seven application domains, it was crucial to build smart governance first. The findings imply that government agencies should set guidelines for urgent development projects and provide a transparent and sufficient digital infrastructure to facilitate the expansion of business activities in the city.

Making merit, especially charity and donation, is enormous in Asian countries, particularly in Thailand, where it has long been systematically incorporated into Thai culture. This study aimed to evaluate the literature on merit-making in the digital economy. A narrative synthesis was employed for this study. The documentary method and content analysis via systematic review were used to analyze the data. Making merit has several benefits such as improving the community, as well as receiving a tax-deductible and reducing a tax burden. The most fruitful form of merit-making is the good deeds accomplished. Apart from donating money to temples, there are other ways to earn merit these days, including volunteering, painting a school building and so on. In the digital age, online merit-making is becoming more popular. These days, donors use applications or online platforms for merit-making so they can keep track online, similar to a merit piggy bank, which may make the donors happy and encourage them to continue donating. It may benefit the government, private agencies, and other organizations in developing an effective strategy to meet the needs and expectations of donors who wish to donate via digital platforms, which may benefit Thai society and beyond.

In addition to profit, a civil economy places a premium on well-being, virtue, and the common good (Bruni & Zamagni, 2016). As the rapid rise of digitalisation has increased the number of digital citizens (Muangtum, 2022) and connected the virtual and real worlds, digital citizens may contribute to the economic prosperity of a nation, particularly a civil economy of digital citizens. This study aims to determine if digital citizenship and demographic characteristics impact the civil economy of digital citizens as assessed by civil engagement and household income. The research investigated Thai people using multivariate analysis of covariance (MANCOVA). The findings reveal that age, occupation, and social media networks (Twitter and YouTube) have an impact on the civil economy of digital citizens. The recommendations based on the findings are as follows: 1) each community should encourage people from various age groups and professions to establish small and medium-sized enterprises (SMEs) that support social and economic activities in the community and 2) relevant sectors should enhance access to the Internet, particularly social media platforms so that people in a community can be connected, increasing community unity; hence, online channels can be used to benefit social and economic activities.