Journal of Management Science Nakhon Pathom Rajabhat University

Marketing mix that affects repeat purchasing behavior of community products Mueang District, Kanchanaburi Province

2025-06-20T08:51:12+07:00

This research aims. 1. To study the level of marketing mix that affects repeat purchasing behavior of community products in Mueang District, Kanchanaburi Province. 2. To study the influence of marketing mix on repeat purchase behavior of community products, Mueang District, Kanchanaburi Province. The sample used in this research is a group of consumers in Mueang District. Kanchanaburi Province, 400 people, conveniences sampling method, a tool used in research. It is a 5-level rating scale questionnaire with content validity equal to 0.67 - 1.00. And the confidence of the marketing mix is between 0.89 - 0.91. The confidence value of repeat purchasing behavior is 0.85. This research was analyzed by using frequency percentage mean standard deviation T-Test One Way ANOVA and multiple regression with Enter method and analysis at statistical significance of 0.05.
The results of this research were:
1. Marketing mix level study that affects repeat purchasing behavior of consumers Community products, Mueang District, Kanchanaburi Province Overall, it was at a high level. When considering each aspect, it was found that it was at a high level in every aspect. Arrange the averages from highest to lowest as follows. The service process aspect is followed by the product aspect. Marketing promotion In terms of price, creation and presentation of characteristics Physical, distribution channels and personnel, respectively.
2. Marketing mix the product aspect and price aspect affect the repeat purchasing behavior of consumers of community products in Mueang District, Kanchanaburi Province. Statistically significant at the 0.03 and 0.01 levels. as for distribution channels marketing promotion, personnel, creating and presenting physical characteristics and service process there is no effect on repeat purchasing behavior of consumers of community products in Mueang District, Kanchanaburi Province. The multiple regression analysis equation has a predictive power of 71 percent. The equation can be written as follows.
Ŷ= 0.10 + 0.25*X₁ + 0.44**X₂ + 0.01X₃+ 0.12X₄+ 0.04X₅+ 0.09X₆ + 0.07X₇

Article history: Received 18 October 2024
Revised 13 March 2025
Accepted 14 March 2025
SIMILARITY INDEX = 18.03 %......

The Impact of AI Application on Customers and Employees in Auto-Detailing Business

2025-06-20T09:01:20+07:00

The objective of this research is to explore the impact of technology acceptance on both customer satisfaction and employee efficiency in the auto-detailing business, using Wisdom Car Detailing, a car detailing service located in Bangkok, as a case study. By using a mixed-method approach, quantitative data were collected through structured questionnaires and analyzed using multiple regression analysis, and qualitative data were collected from interviews with their employees.

Technology acceptance has a strong positive correlation with customer satisfaction and employee efficiency. Post-AI integration, 85% of customers have agreed that their experiences have improved, and further studies have suggested that success in training employees and organizational innovativeness can enhance service quality and overall organizational performance.

Article history: Accepted 14 March 2025

Revised 17 April 2025

Accepted 19 April 2025

SIMILARITY INDEX = 0.00 %......

Factors Affecting the Acceptance of New Technology by Operational Employees

2025-06-20T12:10:47+07:00

This study aimed to: 1) analyze the relationship between technological knowledge and skills, managerial support, organizational readiness for change, social influence, job satisfaction, and acceptance of new technology among operational employees; and 2) investigate the factors influencing the acceptance of new technology among operational employees. The study focused on employees working in medium- and large-sized organizations located in Bangkok. The research population comprised the working-age population residing in Bangkok, totaling 3,524,378 people, excluding Generation Alpha and Baby Boomers. Using a confidence level of 95%, a sample size of 385 participants was determined. The sample was randomly selected from departments adopting new technologies through simple random sampling conducted via online and offline channels. Data analysis was performed using statistical software with the following techniques:
Descriptive statistics, including mean, standard deviation, and frequency distribution. Correlation analysis to examine the relationship between factors influencing the acceptance of new technology among operational employees. Multiple regression analysis to identify factors significantly impacting the acceptance of new technology among operational employees.
1) The results indicated that all six independent variables were related to the acceptance of new technology among operational employees. 2) However, technological knowledge and skills, along with job satisfaction, were found to have a significant influence on the acceptance of new technology. Other factors, although correlated, did not exhibit a significant influence, possibly due to internal organizational factors such as a lack of motivation, insufficient support tailored to employees' needs, or unclear communication during change initiatives. Open-ended questions revealed additional factors perceived by the participants, including organizational culture, technological readiness, prior experience, involvement in decision-making, financial incentives, trust in leadership, and the impact on security and privacy, which could influence the acceptance of new technology among operational employees

Article history: Received 19 August 2024
Revised 10 April 2025
Accepted 15 April 2025
SIMILARITY INDEX = 13.87 %

Effectiveness of Administration and Personnel Development of the Election Commission

2025-06-23T16:20:24+07:00

This research aims to (1) study the current situation in personnel management and development of the Election Commission Office, (2) study the problems and environment affecting the effectiveness of personnel management and development of the Election Commission Office, and (3) propose appropriate guidelines for the effectiveness of personnel management and development of the Election Commission Office. This research is a qualitative research using in-depth interviews with only 20 employees working at the central office who hold academic positions, including operational, expert, and highly expert positions. The research systematically describes and concludes with reasons referring to the theory of data organization.
The research results show that (1) organizational management and the use of modern management tools for organizational development have not been given the proper importance. Therefore, personnel management and development of the Election Commission Office cannot support the missions, duties, and changing contexts. (2) the problem of insufficient personnel in all units due to the long-term lack of personnel recruitment without examinations for promotion, resulting in personnel lacking opportunities for career growth, especially the lack of training to develop personnel to become experts. This reflects the problems and environment of personnel management and development of the Election Commission Office, and (3) the following appropriate guidelines: (3.1) plan manpower and recruit personnel according to the specified characteristics at all levels; (3.2) prepare personnel with high skills or competencies to have the knowledge, skills, and competencies necessary to perform professionally. and (3.3) Strengthening good governance in supervising personnel transparently, as well as strengthening morality and ethics according to the regulations set by the office.

Article history: Received 10 March 2025
Revised 7 April 2025
Accepted 9 April 2025
SIMILARITY INDEX = 0.73 %

Debt Management and Savings Planning among the Working-Age Population

2025-06-23T16:48:57+07:00

This research aims to study debt management and savings planning among the working-age population. It is a quantitative study using a questionnaire as the research instrument. Data were collected from 400 purposively selected respondents, with 100 respondents from each generation. The statistical method used in the study was one-way analysis of variance (ANOVA). Overall, it was found that working age population at a high level of decision-making in debt management. When considering each aspect, it was found that working age population gave a level of decision-making in debt management and reducing expenses are first. followed by in terms of increasing income, Asset sales and debt restructuring. When considering each item, it was found that debt management and reducing expenses were of working age population. focus on reducing variable expenses such as food costs, travel expenses, and tourism expenses. As for savings planning for working age population Overall was at a high level. When considering each aspect, it was found that Working age population were planning to save money for use in emergencies at a highest level of planning. Second, Working age population were planning for saving money for investment at a high level, Working age were planning to save money for the future and Planning to save money for happiness population plan at a moderate level.
Analysis of differences in working age towards debt management found that each working age group had differences in debt management, which was statistically significant at the 0.05 level. When comparing the differences in debt management in each working age group by pair using the Bonferroni test, it was found that Generation C had different decisions in debt management from Generation Baby Boomers, Generation X and Generation Y at a statistical significance level of 0.05. Analysis of differences in working age towards savings planning found that each working age group had differences in savings planning, which was statistically significant at the 0.05 level. When comparing the difference in debt management in each working age group by pair using the Bonferroni test, it was found that the savings plan of Generation Baby Boomers and Generation Y, Generation Baby Boomers and Generation C were significantly different at the 0.05 level.

Article history: Received 14 March 2025
Revised 7 April 2025
Accepted 8 April 2025
SIMILARITY INDEX = 3.97 %

Influences affecting employee happiness at work of private companies in Bangkok

2025-06-23T18:54:50+07:00

This research aimed to study the work happiness of private company employees in Bangkok, classified by personal factors. The population consisted of 6,204,652 private company employees in Bangkok. A sample size of 400 individuals was obtained using convenience sampling. The research instrument used was a questionnaire. Data were analyzed using frequency, mean, percentage, standard deviation, t-test, and one-way analysis of variance.

The research findings revealed that the work happiness of private company employees in Bangkok differed significantly based on personal factors such as gender, age, marital status, business type, and job position, at the .01 level of significance.

Article history: Received 20 September 2024

Revised 6 April 2025

Accepted 8 April 2025

SIMILARITY INDEX = 12.96 %.

An application of artificial intelligence for counting empty packaging Case study of ABC Warehouse

2025-06-24T15:13:30+07:00

ABC Warehouse is a warehouse that is a collection and distribution center. One of the key processes, the process of returning empty packaging to suppliers, is a task that requires constant control and monitoring. Because there is a lot of empty packaging. As a result, in the counting process, it takes a long time to count and there are errors in counting. Therefore, the application of artificial intelligence technology has 2 objectives (1) To reduce time in the empty packaging counting process. (2) To increase the accuracy rate in counting empty packaging. Its related learning activities include object detection, deep learning and image processing.
The research results were obtained after artificial intelligence was applied to count empty packaging 360 times in a period of 1.39 hours. It was found that the working time in the counting process compared to manual counting was reduced from 30 minutes to 10 minutes and the average counting accuracy rate could be increased by up to 7 percent.

Article history: Received 13 November 2023
Revised 29 June 2024
Accepted 20 June 2025
SIMILARITY INDEX = 1.13 %

The Influence of Brand Trust and Customer Experience on Customer Loyalty in Life Insurance Companies

2025-06-27T10:50:25+07:00

This research aimed to achieve two objectives: (1) to investigate the influence of brand trust and customer experience on life insurance company loyalty, and (2) to examine the influence of brand trust on customer experience. Data were collected from 240 samples of repeat customers who had purchased more than one policy from the same life insurance company, using convenience sampling. Statistical analyses included frequency, percentage, confirmatory factor analysis (CFA), and path analysis using structural equation modeling (SEM).
The findings revealed that (1) life insurance company loyalty was directly and statistically significantly influenced by brand trust (DE=0.56) and customer experience (DE=0.49), with a predictive power of 90%. (2) Customer experience was directly and statistically significantly influenced by brand trust (DE=0.83), with a predictive power of 61%.
Based on the confirmatory factor analysis with the highest factor loadings, brand trust was primarily weighted by reliability (REL=0.54), customer experience by social experience (SOC=0.51), and life insurance company loyalty by repurchase intention (REI=0.48).

Article history: Received 8 February 2025
Revised 19 April 2025
Accepted 21 April 2025
SIMILARITY INDEX = 0.84 %

Promoting Occupations for the Disabled under the New Way of Life In Bangkok

2025-06-26T08:57:54+07:00

The research aimed to 1) study the need to promote occupation for the disabled under the new way of life in Bangkok and 2) compare the need to promote occupation for the disabled under the new way of life in Bangkok classified by personal characteristics. This was quantitative research using a questionnaire as the tool for data collection. The population used in the study consisted of 108,854 disabled people in Bangkok. A sample of 400 people was obtained from Taro Yamane's ready-made table using simple random sampling. The statistics used for data analysis included frequency, percentage, mean, standard deviation, and hypothesis testing using Independent t test and One-Way ANOVA

The research results found that 1) the overall need for career promotion for the disabled under the new way of life was at a high level. By career skills had the highest demand, access to career promotion, access to capital for career promotion, and channels for accessing career promotion information had the high demand. 2) The results of the comparison of the need for career promotion for the disabled under the new way of life, classified by gender, age, education level, marital status, occupation, average monthly income, and different types of disability, revealed no significant differences in demand for career promotion

Article history: Received 15 February 2025

Revised 20 April 2025

Accepted 22 April 2025

SIMILARITY INDEX = 6.10 %

Minimum Wage Policy Affecting Industrial Section in the Bangkok Metropolitan Area

2025-06-26T09:31:20+07:00

This research aimed (1) To study the general conditions of business enterprises and laborers in implementing the minimum wage policy in Bangkok; (2) To study the impact of the minimum wage policy on industrial operators in Bangkok; and (3) To study the problems and obstacles in implementing the minimum wage policy of entrepreneurs in Bangkok Metropolitan. The research was qualitative in research. The key informants was 20 people involved in the minimum wage policy that affects industrial operators in Bangkok. They were selected purposively. Semi-structured interview were used as the research tool. Key informants were interviewed face-to-face by in-depth interviews. The collected documents and data were analyzed by mean of content analysis.
The results of the study found that (1) the general conditions of business operators and laborers in implementing the minimum wage policy. The minimum wage increases rate was not consistent with the real economic situation. Production costs was rising, leading to higher prices for goods and services. Technology was increasingly being using in their work. Small and young businesses tend to close down, and welfare changes was made to reduce costs. (2) The problems and obstacles in implementing the minimum wage policy of entrepreneurs Metropolitan. There were problems with measures to take care of the cost of living, law enforcement Inequality and employment. (3) The implementation of a minimum wage policy significantly impacts industrial entrepreneurs. Businesses face increased operating costs, which can lead to measures such as reducing the number of employees or postponing new hires. Additionally, there may be a shift of labor from smaller to larger companies as employees seek better compensation.

Article history: Received 15 February 2025
Revised 23 April 2025
Accepted 25 April 2025
SIMILARITY INDEX = 5.73

The Leader parths of Dharma of Bangkokthonburi University Students

2025-06-26T10:01:35+07:00

This study aimed to 1) Study the Leader parths of Dharma of Bangkokthonburi University Students. 2) Compare the Leader parths of Dharma of Bangkokthonburi University Students classified by personal factors.This study was a quantitative study that used a questionnaire as a data collection tool. The population consisted of 198 undergraduate students in the Faculty of Political Science. Data were analyzed using statistics such as percentage, mean, standard deviation, t-test, and one-way analysis of variance.

The results of the study revealed that 1. The Leader parths of Dharma of Bangkokthonburi University Students students was at a high level. When considering each aspect individually, students demonstrated the highest level of leadership ethic in ethics, followed by truth, charity, and wisdom, respectively. 2.A comparison of the Leader parths of Dharma of Bangkokthonburi University Students classified by personal factors showed that students with different academic performances and parents’ occupations had significantly different levels of the Leader parths of Dharma of at the 0.05 level. In contrast, there were no significant differences in the Leader parths of Dharma based on gender, residence, or parental status.

Article history : Received 14 March 2025

Revised 1 May 2025

Accepted 5 May 2025

SIMILARITY INDEX = 14.18 %

Analysis on Factors Affecting Student Termination Using Data Mining Techniques A Case of Undergraduate Students, Faculty of Business Administration, Rajamangala University of Technology Thanyaburi

2025-06-26T10:35:30+07:00

Student attrition in higher education is an important issue that affects the efficiency of university management and the quality of graduates. This research aimed to analyze the factors that influence student attrition among undergraduate students at the Faculty of Business Administration, Rajamangala University of Technology Thanyaburi, and to develop a risk prediction model using data mining techniques.

The study used secondary data from 5,034 students who enrolled between the academic years 2019 and 2022. The analysis followed the Knowledge Discovery in Databases (KDD) process, which included data cleaning, data transformation, and the FP-Growth algorithm to find association rules. Classification models were created using Decision Tree, Naïve Bayes, and k-Nearest Neighbors (KNN), and their performance was evaluated using Accuracy, Precision, Recall, F1-Score, and AUC.

The results showed that the Naïve Bayes model achieved the highest AUC value at 1.000, showing a strong ability to identify students at risk. The Decision Tree model gave the highest accuracy at 97.45% and had the advantage of being easy to interpret and apply. The important factors related to student attrition were GPA lower than 2.00, low grades in core courses, repeated course enrollment, and poor academic performance in the first year. These findings can be applied to improve early warning systems and proactive student advising effectively.

Article history: Received 26 February 2025

Revised 28 April 2025

Accepted 2 May 2025

SIMILARITY INDEX = 5.44 %

Modern Marketing Mix Factors and Brand Image Perception Influencing Consumers’ Furniture Purchasing Decisions through Online Channels in Beijing, China

2025-06-26T11:06:25+07:00

This research aimed to examine the influence of modern marketing mix factors and brand image perception on consumers’ decisions to purchase furniture through online channels in Beijing, China. The target population consisted of consumers residing in Beijing who had previously purchased furniture online. The sample size was determined based on the guideline of 20 respondents per observed variable, resulting in a required sample of 360 participants, as the study included 18 observed variables. A purposive sampling method was employed to select the participants. However, only 300 valid responses were collected, yielding a response rate of 83.33%.
Data were gathered using a structured questionnaire and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings revealed that both modern marketing mix factors and brand image perception had a statistically significant positive influence on consumers’ online furniture purchasing decisions, with p-values ranging from .000 to .002. The model demonstrated a predictive power of 36.6%, with brand image perception exerting a stronger influence than modern marketing mix factors. These results highlighted the importance of enhancing brand image and utilizing modern marketing strategies to foster online purchasing behavior in the furniture market.

Article history: Received 27 March 2025
Revised 28 April 2025
Accepted 2 May 2025
SIMILARITY INDEX = 0.00 %

Effect of Training and Development and Organizational Citizenship Behavior on Employee Performance: Case Study Beijing Anti Technology Co., Ltd.

2025-06-26T11:37:52+07:00

This research aimed to investigate the impact of training and development, as well as organizational citizenship behavior (OCB), on employee performance at Beijing Anti Technology Co., Ltd. The population consisted of 306 employees of Beijing Anti Technology Co., Ltd., with a sample of 240 participants selected using multi-stage sampling. The research instrument was a structured questionnaire developed from relevant theories. Data were analyzed using both descriptive and inferential statistics, with hypothesis testing conducted through Partial Least Squares Structural Equation Modeling (PLS-SEM) at a .05 significance level.
The results revealed that both training and development and OCB had statistically significant effects on employee performance at the .000 level. The model demonstrated a predictive power of 31.6%, with OCB exerting a greater influence on performance than training and development. These findings suggest that fostering citizenship behaviors and offering effective training strategies are essential for enhancing employee productivity and organizational outcomes.

Article history: Received 27 March 2025
Revised 28 April 2025
Accepted 2 May 2025
SIMILARITY INDEX = 0.00 %

Innovations for Enhancing Efficiency in Warehousing and Distribution Center Operations

2025-06-27T08:43:50+07:00

This article aims to analyze the impact of innovation and automation technology on increasing the efficiency of warehouse and distribution centers, considering both positive and negative aspects. By focuses on the most important aspects, including the impact on the workforce, workforce development for automation, high investment costs, and data security when implementing technology into operational processes. This article utilizes literature review methodology, compares different approaches to technology adoption in warehouse operations, and presents management strategies to overcome the challenges posed by these technological shifts.

The article explains that automation systems significantly improve operational efficiency, reduce long-term costs and increase logistical flexibility. However, the introduction of automation reduces repetitive tasks while increasing the demand for technology management and data analysis positions. Companies must therefore introduce training programs for their employees and lifelong learning strategies to facilitate workforce adaptation. In terms of investment, automation requires high initial costs, but a systematic and gradual investment approach can mitigate financial risks. In terms of data security, companies should prioritize cybersecurity measures to protect digital operations. Looking to the future, warehouses and distribution centers will evolve into intelligent systems capable of optimizing processes proactively and autonomously. In addition, sustainable operating practices will gain in importance and further strengthen the competitiveness of companies in the long term.

Article history : Received 12 March 2025

Revised 30 April 2025

Accepted 2 May 2025

SIMILARITY INDEX = 4.49 %

The structural equation model of factors affecting digital citizenship in Thailand's digital society

2025-06-27T09:24:29+07:00

This research aimed to 1) develop a linear structural equation model of factors affecting digital citizenship in a digital Thai society and 2) examine structural equation model of factors affecting digital citizenship in a digital Thai society using an assessment as a tool to collect data from 720 undergraduate students. The statistics used for data analysis were descriptive statistics and and structural model analysis using Structural Equation Modeling.
The results revealed that 1) the proposed structural model demonstrated a good fit with the empirical data (chi-square = 1,025.47, df = 365, p-value = .000, χ²/df = 2.81, NFI = .92, IFI = .94, CFI = .93, RMSEA = .065), and 2) digital competence, digital intelligence, and media profession were significant causal factors influencing digital citizenship at the .01 level. These three variables collectively accounted for 72.1% of the variance in digital citizenship. Additionally, the path analysis indicated that digital competence had the highest direct effect on digital citizenship, followed by digital intelligence and media profession. And no statistically significant indirect effects were observed in the model. These findings underscore the importance of enhancing users’ digital skills and attributes in fostering responsible and engaged digital citizenship within Thai digital society.

Article history: Received 5 August 2024
Revised 3 May 2025
Accepted 5 May 2025
SIMILARITY INDEX = 16.71 %

Public Policy in Developing Workforce Skill for Small and Medium-Sized Enterprises (SMEs) in Bangkok Metropolitan Area

2025-06-27T09:51:50+07:00

The objectives of research were 1) to study government policies related to workforce skill development for small and medium enterprises (SMEs) in Bangkok Metropolis, 2) to investigate the skill development needs of SME entrepreneurs in Bangkok Metropolis, 3) to identify the problem, success factors and guidelines for use in driving government policies to enhance workforce skills in SMEs in Bangkok Metropolis. A qualitative research approach was employed. Data were collected from 20 key informants, categorized into four groups: SME entrepreneurs, relevant associations or organizations, government agencies, and academicians or experts in workforce skill development.

The research results revealed that 1) although the existing government policies were well-formulated, their dissemination remained insufficient, resulting in limited awareness among business establishments regarding their benefits, which in turn led to a lack of interest or commitment to policy implementation; 2) the primary workforce skill development needs of SME entrepreneurs in Bangkok Metropolis encompassed both job-specific skills or hard skills (digital literacy and vocational skills and interpersonal skills that influenced the organizational environment or soft skills teamwork and communication); 3) the key guidelines for use in driving government policies included (1) the Ministry of Labour must integrate collaborative efforts among the private sector, civil society, and the workforce while implementing policies or measures to facilitate SME access to funding for business or workforce skill development, (2) the Office of Small and Medium Enterprises Promotion (OSMEP) must promote widespread dissemination of government policies and fostering confidence among business establishments, and (3) the Department of Skill Development must support and promote regional-level activities or programs, expanding digital and vocational skills training, teamwork and communication skills training, as well as prioritizing training sessions on weekends and providing financial support for travel expenses; and (4) the key success factors for driving government policies included integrating collaboration among the public sector, private sector, civil society; and the workforce, setting clear goals, equitably and comprehensively allocating resources and budgets; ensuring consistent and continuous policy dissemination; and maintaining monitoring and evaluation of policy implementation. A major problem currently faced by SMEs in Thailand was the shortage of skilled labor.

Article history: Received 14 April 2025

Revised 19 May 2025

Accepted 21 May 2025

SIMILARITY INDEX = 5.68 %

Development of Political Participation of People Samut Sakhon Province

2025-06-27T10:15:01+07:00

The research aimed to 1) study the general conditions of political participation of people Samut Sakhon Province 2) study the factors that influenced political participation of people in Samut Sakhon Province 3) Find guidelines for developing of political participation of people Samut Sakhon Province. The research design was qualitative research. Twenty-five key informants were purposively selected and divided into four groups: Group 1, 10 representatives of eligible voters; Group 2, 5 representatives of community leaders; Group 3, 5 representatives of politicians; and Group 4, 5 experts. A semi-structured interview was used as the research tool. Key informants were interviewed face-to-face using in-depth interviews and documents. The collected data were analyzed for content.

The research results: 1) The general condition of political participation found that. There was continuously interested and political movement, there was a process of political acculturation in, and there was a democratic political ideology. 2) Factors influencing of political participation. It was found all had an influence on political participation. 3) Guidelines for developing political participation should creating various public relations media both online and offline, support for the establishment and participation in political groups, have activities or projects that was new political approaches, create strong civic politics, have been an agency to monitor and inspect the performance of politicians, instill ideas, consciousness, volunteerism, and create political values.

Article history: Received 14 April 2025

Revised 17 May 2025

Accepted 19 May 2025

SIMILARITY INDEX = 19.82 %

The Development of Investigation Procedures for the Anti-Corruption Division (ACD) the Central Investigation Bureau Royal Thai Police

2025-06-27T10:42:50+07:00

The research aimed to 1) study the work of the Anti-Corruption Division (ACD), Central Investigation Bureau, Royal Thai Police 2) study the problems and obstacles in investigating corruption cases of the Anti-Corruption Division (ACD), Central Investigation Bureau, Royal Thai Police 3) obtain guidelines for improving and developing the work of investigating corruption cases of the Anti-Corruption Division (ACD), Central Investigation Bureau, Royal Thai Police. The research design was qualitative research. by studying documents that related to the development of the investigation work of corruption investigation officers of state officials from textbooks, articles, research documents from both Thailand and abroad, and individuals in-depth interviews consisting of executives of the Anti-Corruption Division (ACD), commanders as heads of investigation officers and investigation officers, including officers from the Office of the National Anti-Corruption Commission (PACC), the Office of the National Anti-Corruption Commission (ONACC), the Department of Special Investigation, the Office of the Attorney General, and academic professors , totaling 20 people.

The research results found that: 1) The Investigators under the Anti-Corruption Division (ACD) are civil servants that not independent in their work but are under the command of the hierarchy; on investigative work of investigators must be carried out under the law, regulations, orders, and relevant court decisions, while being under the checks and balances of the public prosecutor. 2) The work of investigators under the Anti-Corruption Division (ACD) has problems with a lack of personnel that is not consistent with the increased work, inadequate budget and equipment for work, and coordination with other agencies in some case. 3) Guidelines for improving the work of investigating corruption cases of the Anti-Corruption Division (ACD), Central Investigation Bureau, Royal Thai Police. The command system should reform the structure of the investigation work as a whole. Support for the work should support personnel, budget, development and adequate training. The amount of work should be an appropriate amount per person. Confidence in the work should allow the public to participate in inspecting the work. Independence in the work should allow investigators to exercise their discretion independently. The work guidelines should have a team of investigators to balance the power and prevent interference.

Article history: Received 20 April 2025

Revised 19 May 2025

Accepted 23 May 2025

SIMILARITY INDEX = 12.33 %