Papers by Dr. Sutithep Siripipattanakul
This study aims to predict the intention to use smart education technology during the COVID-19 pa... more This study aims to predict the intention to use smart education technology during the COVID-19 pandemic among higher education students in Thailand. The determinants of intention to use smart education technology adopt the technology acceptance model (TAM) through the mediating effect of student satisfaction. The online convenience sampling collected data from 238 higher education students in Thailand to confirm the theoretical framework. The data were analysed using SPSS Version 27 and the partial least square structural equation model (PLS-SEM). The findings support that the TAM model comprises perceived ease of use and perceived usefulness. Student satisfaction is a significant mediator between the TAM model and the intention to use smart education technology. However, the TAM model has no significant direct effect on the intention to use smart education technology. This study may benefit educators and instructors in improving the intention to use smart education technology by adopting the TAM model and student satisfaction. Moreover, the results could apply in any sector to improve the intention to use smart technology through predictors of the TAM model and mediating role of users' satisfaction.
International Journal of Computing Sciences Research
Purpose-This study aims to explain the influence of the unified theory of acceptance and use of t... more Purpose-This study aims to explain the influence of the unified theory of acceptance and use of technology (UTAUT) model on individuals' intentions to use telemedicine among people in Krabi, Thailand, during the COVID-19 pandemic. Method-In this study, the qualitative approach was used as a research strategy. In-depth interviews were conducted with six key informants to determine the intention to use telemedicine during the COVID-19 pandemic related to the UTAUT model in Krabi, Thailand. Thematic analysis and NVivo were employed to analyse the qualitative data. Results-Telemedicine is an essential technology for remote or online consultations between healthcare providers and patients during the COVID-19 pandemic. Moreover, the four key dimensions of the UTAUT model (performance expectancy, effort expectancy, social influence, and facilitating conditions) impact individuals' intentions to use telemedicine during the COVID-19 pandemic in Krabi, Thailand. Conclusion-Telehealth is an important tool for providing remote healthcare, and its popularity has grown during the COVID-19 pandemic. The UTAUT model adoption is critical as it is related to individuals' intention to use telemedicine. Recommendations-Healthcare providers and directors should consider the UTAUT model adoption in telemedicine technology because it is related to individuals' intention to use telemedicine during the COVID-19 pandemic and beyond. Research Implications-This study added to the existing literature on the UTAUT model (performance expectancy, effort expectancy, social influence, and facilitating conditions) to explain telemedicine and intentions to use telemedicine. Hence, this study's findings may aid academics in broadening their research by incorporating more potential elements. Practical Implications-The study's findings may benefit healthcare providers and directors in developing and implementing a strategy to meet the needs and expectations of individuals or patients using telemedicine during the COVID-19 pandemic and beyond.
International Journal of Computing Sciences Research
International Journal of Computing Sciences Research
Purpose-Mobile banking is becoming increasingly popular in Thailand. This study investigates the ... more Purpose-Mobile banking is becoming increasingly popular in Thailand. This study investigates the relationship between cyber security knowledge, awareness, and behavioural choice protection among mobile banking users in Thailand. Method-A quantitative approach was employed. The questionnaire was developed based on reliable and valid sources. The online questionnaire was adopted to collect the data through convenience sampling of 414 mobile banking users in Thailand. The data were analysed using SPSS Version 27 and ADANCO 2.3 for hypothesis testing. Results-The results reveal that cyber security knowledge significantly impacts cyber security awareness and behavioural choice protection. Cybersecurity awareness significantly impacts behavioural choice protection. Cyber security awareness significantly mediators between cyber security knowledge and behavioural choice protection. Conclusion-Cyber security knowledge and awareness are critical for influencing behavioural choice protection among Thai mobile banking users. As a result, banks must develop an effective cybersecurity strategy to meet the needs and expectations of mobile banking users. As a result, there may be an increase in mobile banking users, and high business performance may incur. Recommendations-This study employed sampling to explain only mobile banking from customers' perceptions. It may not cover other sectors. Hence, there should be increased sampling in a variety of industries. Furthermore, this study consists of a self-administered questionnaire for quantitative analysis. Thus, more insightful analysis through qualitative research could also explain the association between cyber security awareness, cyber security knowledge, and behavioural choice protection among mobile banking application customers or other sectors in Thailand. Research Implications-This study contributed to the existing literature on cyber security awareness, cyber security knowledge, and behavioural choice protection. Therefore, the findings of this study may help academics expand their research by incorporating additional potential factors. These metrics could guide future cybersecurity research and its outcomes in the digital era. Practical Implications-The implications could be applied to any sector in explaining the association between cybersecurity awareness, knowledge and behavioural choice protection among mobile banking application customers or other sectors in Thailand.
International Conference On Research And Development (ICORAD)
This study aims to predict the intention to use smart education technology during the COVID-19 pa... more This study aims to predict the intention to use smart education technology during the COVID-19 pandemic among higher education students in Thailand. The determinants of intention to use smart education technology adopt the technology acceptance model (TAM) through the mediating effect of student satisfaction. The online convenience sampling collected data from 238 higher education students in Thailand to confirm the theoretical framework. The data were analysed using SPSS Version 27 and the partial least square structural equation model (PLS-SEM). The findings support that the TAM model comprises perceived ease of use and perceived usefulness. Student satisfaction is a significant mediator between the TAM model and the intention to use smart education technology. However, the TAM model has no significant direct effect on the intention to use smart education technology. This study may benefit educators and instructors in improving the intention to use smart education technology by ad...
SSRN Electronic Journal, 2022
This study examines the relationship between the theory of planned behaviour model (TPB: attitude... more This study examines the relationship between the theory of planned behaviour model (TPB: attitude, subjective norm, and perceived behaviour control) and its effect on students’ choosing the online degree during the COVID-19 pandemic through the mediating role of perceived effectiveness. The online questionnaires of 215 online degree students were used for the quantitative study through convenience sampling. The collected data were analysed using the SPSS Version 27 and PLS-SEM program. The results show that perceived effectiveness is the significant mediator between the TPB model and the intention to choose the online degree during the COVID-19 pandemic. Moreover, perceived behavioural control has the highest impact on perceived effectiveness, followed by the attitude and subjective norm. The educational leaders and programme directors should consider TPB model adoption in the educational sector because it is related to perceived effectiveness and turn it to intention to choose the online degree during the COVID-19 pandemic.
Psiworld 2015 Proceedings, 2016
This research aimed to examine the perspectives of vocationalism and other feelings that the stud... more This research aimed to examine the perspectives of vocationalism and other feelings that the students involved in the conflicts have and to identify and propose corrective solutions. It was evident that the students used a various types of weapons in the violence, whereas they rejected to follow the solutions suggested by the government. They advocated the cooperative activities, wherein the troublemaking students could get involved and share their feelings or discuss the causes of problems and effects on society. This can effectively assist in promoting a mistaken conscience into a more critical one.
Contemporary Educational Technology, Oct 1, 2023
Learning experience design (LXD) is a new wave in educational technology and learning design. Thi... more Learning experience design (LXD) is a new wave in educational technology and learning design. This study was conducted to clarify conceptual change to practice by applying a systematic literature review to a combination text mining and bibliometric analysis technique to visualization network. Based on the study selection articles from SCOPUS. Our research questions focused on the changing concept, the elements of dimensionality, and the process or practice of LXD. The findings showed that 152 articles were finally selected to be analyzed. Conceptualizing LXD is currently underway in design thinking and user research methods with emphasis on the empathize process. Moreover, three dimensions to consider including (1) design dimension focus on user experience design in a technology context, (2) learning dimension focus on instructional design and learning theory, and (3) standard dimension focus on assessment and evaluation in learning goal and project management. In addition, five steps cycle for practice follows: research learners as users and learning goals, design with ideate, develop prototyping, validity testing, and launch and follow-up. These factors enhance learning engagement and aesthetics for a great learner experience and learning efficacy.
International Conference on Research and DeveIopment , 2022
This study aims to predict the intention to use smart education technology during the COVID-19 pa... more This study aims to predict the intention to use smart education technology during the COVID-19 pandemic among higher education students in Thailand. The determinants of intention to use smart education technology adopt the technology acceptance model (TAM) through the mediating effect of student satisfaction. The online convenience sampling collected data from 238 higher education students in Thailand to confirm the theoretical framework. The data were analysed using SPSS Version 27 and the partial least square structural equation model (PLS-SEM). The findings support that the TAM model comprises perceived ease of use and perceived usefulness. Student satisfaction is a significant mediator between the TAM model and the intention to use smart education technology. However, the TAM model has no significant direct effect on the intention to use smart education technology. This study may benefit educators and instructors in improving the intention to use smart education technology by adopting the TAM model and student satisfaction. Moreover, the results could apply in any sector to improve the intention to use smart technology through predictors of the TAM model and mediating role of users' satisfaction.
International Journal of Computing Sciences Research, 2022
Purpose - Mobile banking is becoming increasingly popular in Thailand. This study investigates th... more Purpose - Mobile banking is becoming increasingly popular in Thailand. This study investigates the relationship between cyber security knowledge, awareness, and behavioural choice protection among mobile banking users in Thailand.
Method - A quantitative approach was employed. The questionnaire was developed based on reliable and valid sources. The online questionnaire was adopted to collect the data through convenience sampling of 414 mobile banking users in Thailand. The data were analysed using SPSS Version 27 and ADANCO 2.3 for hypothesis testing.
Results - The results reveal that cyber security knowledge significantly impacts cyber security awareness and behavioural choice protection. Cybersecurity awareness significantly impacts behavioural choice protection. Cyber security awareness significantly mediators between cyber security knowledge and behavioural choice protection.
Conclusion - Cyber security knowledge and awareness are critical for influencing behavioural choice protection among Thai mobile banking users. As a result, banks must develop an effective cybersecurity strategy to meet the needs and expectations of mobile banking users. As a result, there may be an increase in mobile banking users, and high business performance may incur.
Recommendations - This study employed sampling to explain only mobile banking from customers' perceptions. It may not cover other sectors. Hence, there should be increased sampling in a variety of industries. Furthermore, this study consists of a self-administered questionnaire for quantitative analysis. Thus, more insightful analysis through qualitative research could also explain the association between cyber security awareness, cyber security knowledge, and behavioural choice protection among mobile banking application customers or other sectors in Thailand.
Research Implications - This study contributed to the existing literature on cyber security awareness, cyber security knowledge, and behavioural choice protection. Therefore, the findings of this study may help academics expand their research by incorporating additional potential factors. These metrics could guide future cybersecurity research and its outcomes in the digital era.
Practical Implications - The implications could be applied to any sector in explaining the association between cybersecurity awareness, knowledge and behavioural choice protection among mobile banking application customers or other sectors in Thailand.
International Journal of Computing Sciences Research, 2022
Purpose - This study aims to explain the influence of the unified theory of acceptance and use of... more Purpose - This study aims to explain the influence of the unified theory of acceptance and use of technology (UTAUT) model on individuals' intentions to use telemedicine among people in Krabi, Thailand, during the COVID-19 pandemic. Method - In this study, the qualitative approach was used as a research strategy. In-depth interviews were conducted with six key informants to determine the intention to use telemedicine during the COVID-19 pandemic related to the UTAUT model in Krabi, Thailand. Thematic analysis and NVivo were employed to analyse the qualitative data. Results - Telemedicine is an essential technology for remote or online consultations between healthcare providers and patients during the COVID-19 pandemic. Moreover, the four key dimensions of the UTAUT model (performance expectancy, effort expectancy, social influence, and facilitating conditions) impact individuals' intentions to use telemedicine during the COVID-19 pandemic in Krabi, Thailand. Conclusion - Telehealth is an important tool for providing remote healthcare, and its popularity has grown during the COVID-19 pandemic. The UTAUT model adoption is critical as it is related to individuals' intention to use telemedicine. Recommendations-Healthcare providers and directors should consider the UTAUT model adoption in telemedicine technology because it is related to individuals' intention to use telemedicine during the COVID-19 pandemic and beyond. Research Implications - This study added to the existing literature on the UTAUT model (performance expectancy, effort expectancy, social influence, and facilitating conditions) to explain telemedicine and intentions to use telemedicine. Hence, this study's findings may aid academics in broadening their research by incorporating more potential elements. Practical Implications - The study's findings may benefit healthcare providers and directors in developing and implementing a strategy to meet the needs and expectations of individuals or patients using telemedicine during the COVID-19 pandemic and beyond.
Advance Knowledge for Executives, 2022
Objective: This paper aims to review the total quality management (TQM) for modern organisations ... more Objective: This paper aims to review the total quality management (TQM) for modern organisations in the digital age.
Method: In this article, a systematic literature review was conducted. In addition, the literature and data were gathered from various books and scholarly articles retrieved from EBSCO, Google Scholar, Scopus, Web of Science, and ScienceDirect. The studies that were published in English and were peer-reviewed were included. Six independent reviewers evaluated search results, extracted data, and determined the quality of the studies to summarise and report the findings.
Result: Developments in digitalisation, software, and processing power, along with the accompanying data explosion, create significant opportunities, challenges, and changes for businesses and their finance by adopting total quality management (TQM) for modern organisations. Understanding the data, information, and knowledge influences the development of strategy, organisational and cost structures, digitisation, business analytics, outsourcing, offshoring, and the cloud.
Conclusion: TQM is one method for ensuring that projects meet the requirements of their stakeholders. The most critical success factors influencing TQM implementation. Moreover, the structured TQM dimensions consist of organisation management, communication to improve quality, training and development, employee participation and recognition, and culture.
Recommendation & Implication: In the future study, qualitative research, such as interviews, or quantitative analysis, such as online questionnaires, may be conducted to provide additional explanations and definitive results. By embracing technology, managers could apply the implications to better comprehend and implement strategies to improve TQM in the digital era.
REVIEW OF ADVANCED MULTIDISCIPLINARY SCIENCE, ENGINEERING & INNOVATION (RAMSEY), 2022
This study explains the essentials of artificial intelligence (AI) in medical education during th... more This study explains the essentials of artificial intelligence (AI) in medical education during the digital era. This article contains a comprehensive systematic review and content analysis. The literature and previous studies were obtained from various research articles on EBSCO, Google Scholar, Scopus, Web of Science, and ScienceDirect. The criteria for inclusion were studies that clearly defined artificial intelligence related to the medical education sector and were published in English with peer-reviewed. Five independent reviewers evaluated search results, extracted data, and the quality of the studies to summarise and report the findings. The results reveal that as the practice of medicine enters the era of AI, the use of data to improve clinical decision-making will increase, thereby increasing the need for skilled medicinemachine interaction. As the rate of medical knowledge growth accelerates, technologies such as AI are required to enable healthcare professionals to apply the knowledge in practice effectively. Medical professionals must receive adequate training on this new technology, its advantages to improving cost, quality, and access to healthcare, and its disadvantages, such as lack of transparency and liability. AI must be seamlessly integrated into the curriculum's various facets. The recommendation is to address the current state of education on AI in the medical curriculum. Moreover, both quantitative and qualitative studies are necessary for further research.
REVIEW OF ADVANCED MULTIDISCIPLINARY SCIENCE, ENGINEERING & INNOVATION (RAMSEY), 2022
This study explains the essentials of artificial intelligence (AI) in big data analytics for the ... more This study explains the essentials of artificial intelligence (AI) in big data analytics for the agriculture industry during the COVID-19 pandemic. The systematic review approach was employed for the documentary and analysed using content analysis. In addition, the literature and previous studies were obtained from various research articles on EBSCO, Google Scholar, Scopus, Web of Science, and ScienceDirect. The criteria for inclusion were studies that were related to AI in big data analytics for agriculture, were published in English, and were peer-reviewed. Five independent reviewers assessed search results, extracted data, and evaluated the studies' quality to summarise and report the findings. The results reveal that the COVID-19 pandemic has increased the utility of AI in big data for agricultural business operations. For instance, AI-enabled supply chain management enables businesses to accurately predict demand spikes and decreases and adjust material volumes and routes. AI can collect more extensive data, which can assist the production team in predicting more accurate delivery times and inventory adjustments. Adaptability, high performance, precision, and cost-effectiveness are the central concepts of AI in agriculture. AI agriculture applications include soil, crop, weed, and disease management. The direct application of AI throughout the agricultural sector could represent a paradigm shift in agricultural practices. AI-powered farming solutions enable farmers to accomplish more with fewer resources, enhance crop quality, and guarantee a rapid GTM (go-to-market) crop strategy. Thus, AI adoption is based on the TAM model's perceived ease of use, usefulness, and social influence. The recommendation is to research qualitative and quantitative approaches for further study and clarification of the essence of AI in the agriculture industry.
This study identifies factors affecting Thai people's intention to get COVID-19 vaccination. ... more This study identifies factors affecting Thai people's intention to get COVID-19 vaccination. The intention to get COVID-19 vaccination was explained by factors; fear and infectability of COVID19, perceived behavioural control, and subjective norm. The mediator was the attitude. The research model was analyzed from a stratified random sampling of three-hundred and eighty-seven (387) respondents in Thailand. The collected data were analysed using the PLS-SEM program (ADANCO 2.2.1) and SPSS-version 27. The results reveal that most respondents intended to get vaccinated. Fear and perceived infectability of COVID-19, perceived behavioural control, subjective norm indirect effect on the intention to get COVID-19 vaccination through mediating effect of attitude. The recommendation is to increase perceptions through attitude because it is strongly associated with getting COVID-19 vaccination among Thai people. The contribution could benefit healthcare providers to implement Thai percept...
Advance Knowledge for Executives, 2022
Objective: Artificial intelligence (AI) plays a critical role in education. This paper aims to re... more Objective: Artificial intelligence (AI) plays a critical role in education. This paper aims to review the artificial intelligence adoption in learning and teaching during the digital era.
Method: A narrative synthesis and a systematic literature review were conducted in this review article. The literature and information were obtained from various books and research articles on EBSCO, Google Scholar, Scopus, Web of Science, and ScienceDirect. The inclusion criteria were studies that clearly defined artificial intelligence in the education sector, were published and written in English and were peer-reviewed. Five independent reviewers assessed search results, extracted data, and set the studies' quality to summarise and report the findings.
Result: Artificial intelligence has already entered the education sector. Implementing artificial intelligence is a strategic and critical factor in educational development. Furthermore, artificial intelligence is increasingly being used as a digital assistant. They assist teachers and students in various ways, including giving students access to a wide range of learning materials based on their specific learning needs and subjects. However, some risks are associated with artificial intelligence advancements, such as safety, security, and privacy concerns. As a result, artificial intelligence technologies positively and negatively affect the education sector.
Conclusion: Artificial intelligence technologies have positive and negative effects on education. Thus, it is critical to prioritise artificial intelligence in education and implement appropriate strategies to meet teachers' and students' needs and expectations through AI technologies. As a result, academic performance will be excellent.
Recommendation & Implication: Qualitative research, such as interviews, or quantitative analysis, such as online questionnaires, may be developed in the future to provide more explanations and explicit findings. The implications could be applied to school administrators, teachers, and students to understand better and implement appropriate strategies to improve educational performance through AI.
Asia Pacific Journal of Academic Research in Business Administration , 2022
This study explores the relationship between content marketing, electronic promotion (E-Promotion... more This study explores the relationship between content marketing, electronic promotion (E-Promotion), electronic word of mouth (E-WOM), and intentions to book hotel rooms in Thailand. The online questionnaires of 212 were employed for the quantitative research through convenience sampling. The complete collected data were analysed using the PLS-SEM program for hypothesis testing. The results reveal that content marketing significantly influences E-WOM and intentions to book hotel rooms. E-WOM is a significant mediator between content marketing, E-Promotion, and intentions to book hotel rooms. Moreover, E-Promotion can predict E-WOM better than content marketing. Hotel owners, hotel managers, and marketers should consider content marketing, E-Promotion, and E-WOM to improve individuals' intentions to book hotel rooms. The implication could be applied to online marketing companies and businesses to increase customer loyalty. The recommendation is to expand more sampling to other countries to understand the relationship better. Also, a qualitative study could give more insight to explain the relationship results.
Psychology and Education Journal, 2022
This study examines the relationship between website quality, university image, electronic word-o... more This study examines the relationship between website quality, university image, electronic word-of-mouth (e-WOM) and intention to follow the university's website in Thailand. The online questionnaires of 214 were employed for the quantitative study through convenience sampling. The complete collected data were analysed using the PLS-SEM program for hypothesis testing. The results show that website quality significantly impacts the university's image and turns it into the intention to follow the university's website. University image significantly influences e-WOM and turns it into the intention to follow the university's website. The implication could be applied to explain the relationship between website quality, brand image, e-WOM and intention to follow the website of companies or organisations in any sector. The recommendation is to expand more sampling to other countries to understand the relationship. Also, qualitative research could give insight results for further study.
International Journal of Trend in Scientific Research and Development, 2022
This study investigated the Good Agricultural Practices (GAP) standard by durian farmers in Thail... more This study investigated the Good Agricultural Practices (GAP) standard by durian farmers in Thailand, Tha Mai District, Chanthaburi province. The study used a survey to obtain information from the farmers on demographic, economic, and cultivation technique factors. The implementation of GAP was evaluated based on the survey results. The sample size was 354 durian farmers, and the data were collected using an interview schedule as the instrument. The results showed that overall, durian farmers used durian cultivation technique factors and practices of durian cultivation at the high-level GAP components at the high level. In addition, hypothesis testing showed that the significant demographic and economic factors regarding applying GAP in practices were: age, marital status, group member, and area of durian planted. Furthermore, the critical cultivation factors regarding adopting GAP in practices were: the cultivation plan, planting area selection, cultivation method, shading, post-planting, and pest management. Consequently, GAP standards are necessary to encourage durian farmers to develop their techniques and cultivation planning continuously to guarantee the quality of the durian products to market for a sustainable agricultural market in Thailand.
Journal of Management Information and Decision Sciences, 2022
This study identifies the determinant factors of hotels' customer loyalty during the COVID-19 pan... more This study identifies the determinant factors of hotels' customer loyalty during the COVID-19 pandemic in Thailand. The determinants comprise prices, facilities, services and mediating effect of customer satisfaction. The self-administered online survey was distributed through convenience sampling from 220 hotel customers in Thailand. The data were analyzed using PLS-SEM for hypothesis testing. The results reveal that prices, facilities and services significantly influence customer satisfaction and turn it into customer loyalty. Services have the highest predictive power over facilities and prices on customer satisfaction and indirectly influence customer loyalty. Only services have a direct influence on customer loyalty. The implication could be applied to any service company to improve customer satisfaction with services, prices and facilities to enhance customer loyalty. The recommendation is to increase sampling to cover more areas to explain the relationship phenomenon better. The researchers should consider more variables in quantitative research. This study employed quantitative research and may not cover insight results. Further qualitative study, such as interviews and focus groups, is also recommended.
Uploads
Papers by Dr. Sutithep Siripipattanakul
Method - A quantitative approach was employed. The questionnaire was developed based on reliable and valid sources. The online questionnaire was adopted to collect the data through convenience sampling of 414 mobile banking users in Thailand. The data were analysed using SPSS Version 27 and ADANCO 2.3 for hypothesis testing.
Results - The results reveal that cyber security knowledge significantly impacts cyber security awareness and behavioural choice protection. Cybersecurity awareness significantly impacts behavioural choice protection. Cyber security awareness significantly mediators between cyber security knowledge and behavioural choice protection.
Conclusion - Cyber security knowledge and awareness are critical for influencing behavioural choice protection among Thai mobile banking users. As a result, banks must develop an effective cybersecurity strategy to meet the needs and expectations of mobile banking users. As a result, there may be an increase in mobile banking users, and high business performance may incur.
Recommendations - This study employed sampling to explain only mobile banking from customers' perceptions. It may not cover other sectors. Hence, there should be increased sampling in a variety of industries. Furthermore, this study consists of a self-administered questionnaire for quantitative analysis. Thus, more insightful analysis through qualitative research could also explain the association between cyber security awareness, cyber security knowledge, and behavioural choice protection among mobile banking application customers or other sectors in Thailand.
Research Implications - This study contributed to the existing literature on cyber security awareness, cyber security knowledge, and behavioural choice protection. Therefore, the findings of this study may help academics expand their research by incorporating additional potential factors. These metrics could guide future cybersecurity research and its outcomes in the digital era.
Practical Implications - The implications could be applied to any sector in explaining the association between cybersecurity awareness, knowledge and behavioural choice protection among mobile banking application customers or other sectors in Thailand.
Method: In this article, a systematic literature review was conducted. In addition, the literature and data were gathered from various books and scholarly articles retrieved from EBSCO, Google Scholar, Scopus, Web of Science, and ScienceDirect. The studies that were published in English and were peer-reviewed were included. Six independent reviewers evaluated search results, extracted data, and determined the quality of the studies to summarise and report the findings.
Result: Developments in digitalisation, software, and processing power, along with the accompanying data explosion, create significant opportunities, challenges, and changes for businesses and their finance by adopting total quality management (TQM) for modern organisations. Understanding the data, information, and knowledge influences the development of strategy, organisational and cost structures, digitisation, business analytics, outsourcing, offshoring, and the cloud.
Conclusion: TQM is one method for ensuring that projects meet the requirements of their stakeholders. The most critical success factors influencing TQM implementation. Moreover, the structured TQM dimensions consist of organisation management, communication to improve quality, training and development, employee participation and recognition, and culture.
Recommendation & Implication: In the future study, qualitative research, such as interviews, or quantitative analysis, such as online questionnaires, may be conducted to provide additional explanations and definitive results. By embracing technology, managers could apply the implications to better comprehend and implement strategies to improve TQM in the digital era.
Method: A narrative synthesis and a systematic literature review were conducted in this review article. The literature and information were obtained from various books and research articles on EBSCO, Google Scholar, Scopus, Web of Science, and ScienceDirect. The inclusion criteria were studies that clearly defined artificial intelligence in the education sector, were published and written in English and were peer-reviewed. Five independent reviewers assessed search results, extracted data, and set the studies' quality to summarise and report the findings.
Result: Artificial intelligence has already entered the education sector. Implementing artificial intelligence is a strategic and critical factor in educational development. Furthermore, artificial intelligence is increasingly being used as a digital assistant. They assist teachers and students in various ways, including giving students access to a wide range of learning materials based on their specific learning needs and subjects. However, some risks are associated with artificial intelligence advancements, such as safety, security, and privacy concerns. As a result, artificial intelligence technologies positively and negatively affect the education sector.
Conclusion: Artificial intelligence technologies have positive and negative effects on education. Thus, it is critical to prioritise artificial intelligence in education and implement appropriate strategies to meet teachers' and students' needs and expectations through AI technologies. As a result, academic performance will be excellent.
Recommendation & Implication: Qualitative research, such as interviews, or quantitative analysis, such as online questionnaires, may be developed in the future to provide more explanations and explicit findings. The implications could be applied to school administrators, teachers, and students to understand better and implement appropriate strategies to improve educational performance through AI.
Method - A quantitative approach was employed. The questionnaire was developed based on reliable and valid sources. The online questionnaire was adopted to collect the data through convenience sampling of 414 mobile banking users in Thailand. The data were analysed using SPSS Version 27 and ADANCO 2.3 for hypothesis testing.
Results - The results reveal that cyber security knowledge significantly impacts cyber security awareness and behavioural choice protection. Cybersecurity awareness significantly impacts behavioural choice protection. Cyber security awareness significantly mediators between cyber security knowledge and behavioural choice protection.
Conclusion - Cyber security knowledge and awareness are critical for influencing behavioural choice protection among Thai mobile banking users. As a result, banks must develop an effective cybersecurity strategy to meet the needs and expectations of mobile banking users. As a result, there may be an increase in mobile banking users, and high business performance may incur.
Recommendations - This study employed sampling to explain only mobile banking from customers' perceptions. It may not cover other sectors. Hence, there should be increased sampling in a variety of industries. Furthermore, this study consists of a self-administered questionnaire for quantitative analysis. Thus, more insightful analysis through qualitative research could also explain the association between cyber security awareness, cyber security knowledge, and behavioural choice protection among mobile banking application customers or other sectors in Thailand.
Research Implications - This study contributed to the existing literature on cyber security awareness, cyber security knowledge, and behavioural choice protection. Therefore, the findings of this study may help academics expand their research by incorporating additional potential factors. These metrics could guide future cybersecurity research and its outcomes in the digital era.
Practical Implications - The implications could be applied to any sector in explaining the association between cybersecurity awareness, knowledge and behavioural choice protection among mobile banking application customers or other sectors in Thailand.
Method: In this article, a systematic literature review was conducted. In addition, the literature and data were gathered from various books and scholarly articles retrieved from EBSCO, Google Scholar, Scopus, Web of Science, and ScienceDirect. The studies that were published in English and were peer-reviewed were included. Six independent reviewers evaluated search results, extracted data, and determined the quality of the studies to summarise and report the findings.
Result: Developments in digitalisation, software, and processing power, along with the accompanying data explosion, create significant opportunities, challenges, and changes for businesses and their finance by adopting total quality management (TQM) for modern organisations. Understanding the data, information, and knowledge influences the development of strategy, organisational and cost structures, digitisation, business analytics, outsourcing, offshoring, and the cloud.
Conclusion: TQM is one method for ensuring that projects meet the requirements of their stakeholders. The most critical success factors influencing TQM implementation. Moreover, the structured TQM dimensions consist of organisation management, communication to improve quality, training and development, employee participation and recognition, and culture.
Recommendation & Implication: In the future study, qualitative research, such as interviews, or quantitative analysis, such as online questionnaires, may be conducted to provide additional explanations and definitive results. By embracing technology, managers could apply the implications to better comprehend and implement strategies to improve TQM in the digital era.
Method: A narrative synthesis and a systematic literature review were conducted in this review article. The literature and information were obtained from various books and research articles on EBSCO, Google Scholar, Scopus, Web of Science, and ScienceDirect. The inclusion criteria were studies that clearly defined artificial intelligence in the education sector, were published and written in English and were peer-reviewed. Five independent reviewers assessed search results, extracted data, and set the studies' quality to summarise and report the findings.
Result: Artificial intelligence has already entered the education sector. Implementing artificial intelligence is a strategic and critical factor in educational development. Furthermore, artificial intelligence is increasingly being used as a digital assistant. They assist teachers and students in various ways, including giving students access to a wide range of learning materials based on their specific learning needs and subjects. However, some risks are associated with artificial intelligence advancements, such as safety, security, and privacy concerns. As a result, artificial intelligence technologies positively and negatively affect the education sector.
Conclusion: Artificial intelligence technologies have positive and negative effects on education. Thus, it is critical to prioritise artificial intelligence in education and implement appropriate strategies to meet teachers' and students' needs and expectations through AI technologies. As a result, academic performance will be excellent.
Recommendation & Implication: Qualitative research, such as interviews, or quantitative analysis, such as online questionnaires, may be developed in the future to provide more explanations and explicit findings. The implications could be applied to school administrators, teachers, and students to understand better and implement appropriate strategies to improve educational performance through AI.