Guidelines for Business Advantage Management for Export of Thai Industrial Products

Industrial products are one of the biggest money-generating exports of Thailand. Nowadays global trade has become challenging and competitive, reducing the competitiveness of Thai exports of industrial goods due to various disadvantages. As a result, this research study aimed to investigate and develop a structural equation model, to provide guidelines for business advantage management for the export of Thai industrial products to enhance its competitiveness in the global market. The research used a mixed methods approach, including both qualitative and quantitative study; in-depth interview, questionnaires, and focus group techniques were used to collect data. The samples used in this study were obtained from 9 experts in the field of international trade, 7 professionals in international trade, and 500 executives at the managerial level and higher who all worked in corporate businesses which received the Prime Minister’s Export Award between the year 1992 and 2017. The results revealed that guidelines for business advantage management consisted of 5 components including information and information technology, marketing, resources, innovation, and production. The results on the Structural Equations modelling passed the evaluation criteria and fit with the empirical data, with a Chi-square probability level of 0.051, relative chi-square (CMIN/DF) of 1.177, Goodness of Fit Index (GFI) of 0.961, and Root Mean Square Error of Approximation (RMSEA) of 0.019. Ultimately, the findings in this study can be generally used as a guideline to improve the business advantage for all industrial-product related businesses and can also be applied in the design of graduate programs in the management field related to industrial business or of short-term courses offered by government agencies to promote the competitiveness of industrial business for export

The Development of Talent Acquisition Process in Industrial Business Sector to Cope with Digital Technology Change

This research aimed to study the variable factor of the development of talent acquisition process in industrial business sector to cope with digital technology change and develop a structural equation model. The mixed research methodology was employed by starting with qualitative research based on in-depth interviews with nine experts to create tools for quantitative research and conducting a group discussion with 11 experts to find a consensus on the model of this research. As for quantitative research, data were surveyed from questionnaires of 500 samples. Collected data from a questionnaire were used descriptive, reference, and multivariate statistics to analyse the developed structural equation model. Interestingly, the developed structural equation model analysis showed that it was under the empirical data and passed the SEM evaluation criteria with CMIN

Approaches to Develop the Real Estate Industry for Senior Citizens to Achieve a Sustainable Success

Purpose:  The aim of this study is to examine the variable factor of the approaches to develop the real estate industry for senior citizens to achieve a sustainable success and develop a structural equation model.   Theoretical framework:  The PESTEL analysis (K. Pair, 2018), is an assessment tool used to analyse external environmental factors that impact businesses and are beyond control. These include the political, economic, social, technological, environmental, and legal factors. Porter’s Five Forces (Porter, 2022) is an analytical framework used to assess the competitive forces and rivalry at play in an industry, as well as identifying the important factors in operating a business.   Design/methodology/approach:  The mixed research methodology was employed by starting with qualitative research based on in-depth interviews with nine experts to create tools for quantitative research and conducting a group discussion with 11 experts to find a consensus on the model of this research.   Findings: Develop from structural equation modelling indicated a good fit with the empirical data, exhibiting a chi-square probability of 0.106, a relative chi-square (normed chi-square) value of 1.114, a goodness of fit index of 0.956, and a root mean square error of approximation of 0.015. Research, Practical & Social implications:  Approaches to develop a sustainable real estate industry for senior citizens are explored in this research. A quantitative study is performed through surveys, using questionnaires which target 500 executives in the real estate industry for the elderly. Data analysis is performed using descriptive, inferential, and multivariate statistical methods.   Originality/value: Results indicated that the four most significant factors to achieve sustainable success in real estate industry development for senior citizens, in order of descending priority, are: 1) opportunity development 2) project development 3) network development and 4) marketing communications development

Guidelines for Competitive Advantage of Thai Software Industry

This research aims to study the guidelines for competitive advantage in the Thai software industry. For qualitative research, in-depth interviews were conducted with nine experts to create the tools used in the estimation research. A group discussion with 11 experts was conducted to obtain a consensus on the model of this research. Quantitative data were collected from a survey of 500 enterprises in the Thai software industry using descriptive, reference, and multiple statistics. The research provides guidelines for the Thai software industry's competitive advantage, comprising four elements. The essential items of each element are as follows:1) Marketing Strategies ( = 4.25) maintain customer confidentiality without disclosing or using data for any other benefit. 2) Business Sustainability ( = 4.24) builds trust and credibility in partner collaboration. 3) Internal Process ( = 4.23) analyzes current work processes to improve efficiency continuously. 4) The Business Alliance ( = 4.23) conducts business with integrity, transparency, and accountability. In addition, the hypothesis test showed that the difference in enterprise size revealed overall elements that were significantly different at the level of 0.05. The analysis of the developed structural equation model showed that it followed the empirical data and passed the evaluation criteria with chi-square probability level, relative chi-square, the goodness of fit index, and root mean square error of approximation of 0.262, 1.031, 0.928, and 0.008, respectively

Guidelines for Evaluating the fair Performance of Personnel in the Manufacturing and Service Business Sector

Purpose: This study aimed to investigate a fair method for evaluating employee performance in the manufacturing and service sectors.   Theoretical framework:  This  research past concepts and theories that the researcher was able to summarize the guidelines for fair performance evaluation of personnel in the business sector have four components as follows: Evaluation Method, Support Factor, Assessor Characteristics and Data Insight.   Design/methodology/approach:The study developed into a structural equation model and conducted as qualitative research with in-depth interviews with nine experts. Tools for quantitative research were created, and a group discussion with 11 qualified participants was held to reach a consensus on the model's certification. Survey information from a questionnaire administered to 500 business owners or executives in charge of manufacturing and services was used for quantitative research. And hierarchical linear multiple regression using SPSS and Structural Equation Modeling (SEM) technique was used to test the study hypotheses.     Findings:  The study adopts a confirmatory factor analysis to develop  the  structural  equation  model  through  data  collection  from   in the manufacturing and service sectors,  in Thailand   Research, Practical & Social implications: The study which enables employers to operate smoothly by receiving benefits or profits according to the objectives of that enterprise. It is achieved when the commandant and subordinates can work together effectively and achieve peace in the industry.   Originality/value:  This study   provides andoffersan   academic   reduce the turnover rate of  employee and fair performance of personnel the manufacturing and service sectors in Thailand

Guidelines for the Growth of Smes in the Thai Sports Industry

Purpose:  The aim of this study is to examine the variable factor of the guidelines for the growth of SMEs in the thai sport industry and develop a structural equation model.   Theoretical framework:   The concept of competitive advantage Porter (1980) stated that competitive advantage is a strategy to gain competitive advantage over competitors. The organization can differentiate from competitors in 3 aspects, namely cost leadership strategy; differentiation strategy and a strategy to focus on specific markets.   Design/methodology/approach:  The mixed research methodology was employed by starting with qualitative research based on in-depth interviews with nine experts to create tools for quantitative research and conducting a group discussion with 11 experts to find a consensus on the model of this research.   Research, Practical & Social implications: The research is useful for small and medium-sized enterprises in the sports industry business development approach. Leading to creating a competitive advantage in Thailand and to international business

Intelligent Marketing Management Approach in the Industrial Business Sectors

Purpose: In the midst of constantly evolving economic conditions, organisations in the industrial sector are facing intense competition. Therefore, it becomes imperative for these organisations to adopt effective marketing strategies in order to secure a competitive advantage. This research aims to study intelligent marketing management strategies in the industrial sector, and subsequently develop a structural equation model.   Theoretical framework: Based on the concepts and theories, the approaches for intelligent marketing management, in the industrial sector, are categorised into four components: marketing insights, alliance centric, servitization, and marketing transformation, as illustrated.   Design/methodology/approach:  The mixed research methodology was employed by starting with qualitative research based on in-depth interviews with nine experts to create tools for quantitative research and conducting a group discussion with 11 experts to find a consensus on the model of this research.   Findings:  The analysis conducted based on the structural equation model shows that the model meets the goodness of fit criteria with the empirical data, exhibiting a chi-square probability of 0.072, a relative chi-square (normed chi-square) value of 1.128, and a goodness of fit index of 0.954, along with a root mean square error of approximation of 0.016.   Research, Practical & Social implications:   Intelligent Marketing Management Approach in the Industrial Business Sectorsfor senior citizens are explored in this research. A quantitative study is performed through surveys, using questionnaires which target 500 marketing executives in the industrial sector. Data analysis is performed using descriptive, inferential, and multivariate statistical methods.   Originality/value: The research findings highlight the significance of intelligent marketing management strategies in the industrial sector to enhance marketing capabilities and improve overall efficiency. These approaches aim to identify the principles and factors that contribute to successful management practices, ultimately leading to the achievement of organisational goals. In today's highly competitive global economy, implementing intelligent marketing management approaches becomes crucial for businesses to ensure sustainability and secure a competitive advantage

Industrial Procurement Management Efficiency Guidelines: Perform Excellence Through Organisational Change Strategies

Purpose: The objective of this research was to use structural equation modelling to illustrate guidelines for enhancing procurement management efficiency in the industrial business sectors.   Theoretical framework:  The conceptual framework was developed based on relevant studies and incorporated elements from procurement excellence models established by renowned organisations, including McKinsey’s successful procurement operating model (2018), BCG’s five pillars of procurement excellence (2019), and PwC’s operating procurement model (2019).   Design/methodology/approach: This study utilised a mixed-methods approach, combining qualitative (in-depth interviews and focus group discussions) and quantitative (survey) research methods. The quantitative data was collected through a questionnaire consisting of four parts, which was administered to 500 executives from industrial businesses. The data was analysed using descriptive, inferential, and multivariate statistical techniques.   Findings:  The guidelines thoroughly examined four key elements: organisational change, technology management, internal control process, and business alliance networks - influencing procurement management efficiency in Thailand. This analysis used confirmatory factor analysis, second-order confirmatory factor analysis, and structural equation modelling. After modification, the final model included 23 observed variables under six hypotheses and was evaluated using congruence evaluation criteria to ensure its effectiveness.   Research, Practical & Social implications:  The researchers suggested that future studies focus on the specific characteristics of each industrial type, such as the automobile sector, food and beverage industry, or emerging S-curve and new S-curve segments. The future research results would allow for a more in-depth analysis of the unique factors that impact procurement management efficiency within each industry.   Originality/value:  The findings suggest that the developed models can serve as valuable guidelines for industrial businesses looking to improve their procurement management systems and implement effective strategies. By adopting these models, businesses may enhance their profitability and optimise their use of resources, thereby improving overall efficiency

Precautionary Measures for Workers in Industrial Business Sector

การวิจัยนี้มีวัตถุประสงค์เพื่อศึกษามาตรการป้องกันอุบัติภัยที่เกิดขึ้นกับแรงงานในภาคธุรกิจอุตสาหกรรม ดําเนินการวิจัยทั้งเชิงคุณภาพและเชิงปริมาณโดยการสัมภาษณ์ข้อมูลเชิงลึกจากผู้เชี่ยวชาญจำนวน 9 คนและสำรวจข้อมูลจากผู้บริหารด้านความปลอดภัยในภาคธุรกิจอุตสาหกรรม จํานวน 500 คน เครื่องมือที่ใช้ ได้แก่ แบบสอบถามผู้บริหาร หัวหน้างาน ผู้จัดการและเจ้าหน้าที่ความปลอดภัยวิชาชีพด้านความปลอดภัย สถิติที่ใช้ได้แก่ สถิติเชิงพรรณนา สถิติอ้างอิง และสถิติเชิพหุผล กำหนดนัยสำคัญทางสถิติที่ระดับ .05 ผลการวิจัยพบว่า มาตรการป้องกันอุบัติภัยที่เกิดขึ้นกับแรงงานที่สำคัญในลำดับแรกของแต่ละด้าน เป็นดังนี้ 1) ด้านพฤติกรรมความปลอดภัย คือ องค์กรต้องให้ความสำคัญกับการใส่อุปกรณ์ป้องกันการทำงานทุกครั้งที่พนักงานปฏิบัติงาน 2) ด้านการจัดการความรู้ คือ สร้างแหล่งจัดเก็บข้อมูลความรู้เกี่ยวกับความปลอดภัยไว้ในระบบออนไลน์ขององค์กร 3) ด้านเครื่องจักร อุปกรณ์และเทคโนโลยี คือ มีการวางแผนการซ่อมบำรุงรักษาตามระยะเวลาที่กำหนดของโรงงาน 4) ด้านประสิทธิภาพความปลอดภัย คือ มีเป้าหมายและตัวชี้วัดในการปฏิบัติงานที่ช่วยให้คนทำงานปลอดภัย 5) ด้านการจัดการสภาพแวดล้อม คือ มีการจัดพื้นที่การทำงานให้เกิดความคล่องตัวในการปฏิบัติงานของพนักงาน ผลการวิเคราะห์ตัวแบบจําลองสมการโครงสร้างที่ได้พัฒนาขึ้นพบว่า ผ่านเกณฑ์การประเมินมีความสอดคล้องกลมกลืนกับข้อมูลเชิงประจักษ์ โดยมีค่า Chi-Square Probability Level เท่ากับ 0.058 ค่า Relative Chai-Square เท่ากับ 1.450 ค่า Goodness of fit Index เท่ากับ 0.985 และค่า Root Mean Square Error of Approximation เท่ากับ 0.03