Nowadays, most shoppers use e-business online platforms. However, consumer behaviors need to be studied in terms of satisfaction and the intention to purchase and re-purchase according to the online shopping process because online shopping platforms still have influenced their usage behaviors. This work proposes a retentive consumer behavior assessment model of the online shopping platforms through integration of Technology Acceptance Model and Online Purchase Decision-Making Process with two input factors: Trust and Quality. A questionnaire designed according to all factors from the proposed conceptual model is used to collect data from a sample group. The participants of this study are 384 respondents who have experienced using online shopping platforms. The data is used to analyze causal relationships through the use of structural equation modeling. The results showed that the proposed model can be explained for the relationship with consistent E-Business platforms affecting purchase and continue to purchase (re-purchase or recommend) behaviors of online trading users, and it also can be used to assess purchasing behaviors and repeating purchases of online consumers through 3 types of E-businesses: E-commerce, M-commerce, and S-commerce. The benefit of this study will help online shopping businesses to strategize the development of designed platforms for consumers' needs.

The e-Service system is utilized in government administration to help achieve efficiency and provide people with services that meet their needs. This service is also known as e-Government. This article discovers the actual impacts and examines the paper to identify the underlying factors affecting the government’s e-service system. The Administration created it to help achieve efficiency and provide people with services that meet their needs, also known as e-government. In addition, it leads to an increase in participation in the equity of the distribution of social benefits. This research examines the essential aspects that influence a community’s perception of E-Government Continuance Intentions Toward E-Services. A questionnaire with a five-point Likert scale was issued to 1,000 community water consumers, and the researcher received 627 valid responses. Data were collected using a simple random sampling technique with a sampling ratio of 14 villages. Subsequently, descriptive statistics characterize the data (frequency distributions, percentages, averages, medians, and standard deviation). Furthermore, PLS-SEM was utilized to study the interactions between variables and launch the conceptual model via partial least squares (PLS) path modeling. This research demonstrates that digital technologies are critical to boosting community expectations and satisfaction with e-Services. Numerous factors contribute to its growth. Moreover, this paper presents an excellent case study approach based on expectation confirmation theory for examining people’s community participation behaviors regarding e-services. In addition, community water consumers participate in electronic services by confirming their expectations with satisfaction.

The Sustainable Development Goals were designed by the United Nations to help all organizations understand that any development must be balanced with the three pillars of sustainability: society, economy, and environment. Therefore, every organization must be more vigilant before introducing something that could have social consequences. This study aims to investigate all of the necessary components for proposing and establishing a community sustainability ecosystem model that supports local business sustainability with participation by highlighting essential variables that foster sustainable business prospects. The researcher distributed a questionnaire on a five-point Likert scale to 1,000 community water users in Thailand and received 627 valid responses. Using a simple random sampling technique with a sampling ratio of 14 villages, data was obtained. Subsequently, descriptive statistics are used to characterize the data (frequency distributions, percentages, averages, medians, and standard deviations). Furthermore, PLS-SEM was used to examine the relationships between factors and to launch the conceptual model using PLS path modeling. This study aimed to enhance the original Commitment-Trust theory relying on sustainability by examining the relationships between accepted variables pertaining to change agents, stakeholders, transparency, social networking, and good governance in order to provide new knowledge to the sustainability community and local sustainability businesses. In addition, this conceptual model can be applied to new business cases in which businesses need a framework that can be followed rapidly and reduces the danger of making mistakes on their own. In light of these considerations, this article proposes a novel community sustainability ecosystem model that may be adopted by the majority of businesses as a framework for managing the entire firm. Not only does it aid local businesses, but it can also adapt to any business change in order to become more profitable and sustainable.

Businesses must do more than safeguard their financial interests to survive in today’s market. Sustainability, or long-term viability, requires consideration of society, the environment, and the global community. However, community-based businesses cannot use some of the current components of the sustainable business framework because they were created for large corporations. Both quantitative and qualitative approaches are used in this study. First, quantitative methods were used to develop a conceptual model for the organization’s current needs using the PPT, the TOE, and an Expectation Confirmation Theory (ECT). A simple random sampling method was used to gather the data, with a sample size of 14 villages. Using a five-point Likert scale, the researcher gathered data from 2,584 households and collected 627 valid responses. After that, descriptive statistics were used to describe the data (frequency distributions, percentages, averages, medians, and standard deviations), and PLS-SEM was used to investigate the interactions between variables and launch the conceptual model using partial least squares (PLS) path modeling. First and foremost, qualitative through Interactive Qualitative Analysis (IQA). There are two ways to create a congested SID and an uncluttered SID: the Affinity Relationship Table (ART), the mapping of the Inter-Relationship Diagram (IRD), and the system influence diagram. According to the study, sustainable community water supply businesses are the primary driver. The conceptual framework presented in this paper is consistent with the results of the combination of quantitative and qualitative methods and the current constraints placed on community water supply businesses to thrive.

It has been confirmed that the use of social media (SM) can affect the mental health of users. However, there is no explanation for its impact on health behavior. This study focuses on the perspectives of depressed patients and caregivers on social media usage and how it can change their health behavior. A questionnaire designed according to the framework of the I-Change Model (ICM) is used to collect data from a sample group. This group consists of 214 patients diagnosed with major depressive disorders, and 110 caregivers. The data is used to analyze causal relationships with the help of structural equation modeling. The results showed that from the patient's perspective it is essential to be aware of the content and volume of social media usage. An awareness of the perceived risk to privacy is also essentially a motivating factor in patients' decisions to use social media. The views of caregivers suggest that content valence has an essential role to play in their use of social media. After viewing content on social media patients change their behavior. The perceived privacy risk also plays a critical role in patients' decisions to use social media.