ANPOR Annual Conference Proceedings https://journal.anpor.net/index.php/proceedings en-US ANPOR Annual Conference Proceedings CLASSIFICATION MODEL FOR HOW LONG UNTIL EMPLOYEES ADOPT AGILE TRANSFORMATION: THE CASE OF A PRE-DIGITAL ORGANIZATION IN THAILAND https://journal.anpor.net/index.php/proceedings/article/view/128 <p><span class="fontstyle0">[Purpose]: Pre-digital organizations have transformed their organizations for more agility. Agile transformation requires a significant investment of time and effort. The primary challenge encountered in agile transformation is employees' absence of an Agile mindset. If pre-digital organizations can identify employees who can adopt agile methodologies quickly, companies may expedite these employees' transition to an agile approach earlier. Thus, the research question is how pre-digital organizations can predict how long it will be until employees adopt agile. The primary research aimed to identify essential human factors affecting agile adoption.</span></p> <p><span class="fontstyle0">[Design]: This research utilizes classification model development to classify employees who tend to embrace agile methodologies faster by relying on three algorithms, namely Decision Tree, Naïve Bayes, and k-Nearest Neighbors. The research mainly utilizes a quantitative approach, in which questionnaires collected data from 80 participants.</span></p> <p><span class="fontstyle0">[Findings]: Research findings indicate that the classification model from the Naïve Bayes algorithm with evolutionary feature selection and range transformation normalization provides the highest accuracy at 53.75%. At the same time, k-NN and decision tree algorithms can provide accuracy at 47.50% and 42.50%, respectively. The finding also reveals that human factors, including collaboration, communication, trust, and administration, influence the duration of Agile adoption at a significant level. Moreover, researchers found a substantial correlation between Administration and Trust, Communication and Collaboration, and Administration and Communication.</span></p> <p><span class="fontstyle0">[Originality]: This research fills the academic gap by demonstrating that organizations can develop the classification model to predict the duration of agile adoption for each employee using their human factors score.</span> </p> Naris Muankaew Manit Satitsamitpong Copyright (c) 2023 Naris Muankaew, Manit Satitsamitpong 2023-12-12 2023-12-12 10 1 THE EXPOSURE ON KNOWLEDGE, ATTITUDE, AND INTENTION TO VISIT ASIAN CITIES OF THAI UNIVERSITY STUDENTS https://journal.anpor.net/index.php/proceedings/article/view/126 <p><span class="fontstyle0">This study attempts to understand how exposure to a city or region via various types of media or interactions affects self</span><span class="fontstyle2">-</span><span class="fontstyle0">perceived knowledge and attitudes about that location and, ultimately, the desire to visit that location</span><span class="fontstyle2">. </span><span class="fontstyle0">Cross</span><span class="fontstyle2">- </span><span class="fontstyle0">national online opinion polls on Exposure on Knowledge, Attitude, and Intention to Visit a City were carried out in Hong Kong, Macao, Guangzhou, Shenzhen, Seoul, Phuket, Pattaya, Manila, Cebu, Chennai, Mumbai, Bali, Labuan Bajo and Penang between September and October of 2023</span><span class="fontstyle2">.</span></p> <p><span class="fontstyle0">This article restricts the findings to a preliminary comparative description and analysis of 809 Thai university students</span><span class="fontstyle2">. </span><span class="fontstyle0">More solid and deep comparisons will be carried out by local polling leaders of 14 Asian cities</span><span class="fontstyle2">. </span><span class="fontstyle0">Three key threads stand out from these preliminary comparisons</span><span class="fontstyle2">. </span><span class="fontstyle0">First, social media is an informative channel that shapes knowledge and attitudes toward a city</span><span class="fontstyle2">. </span><span class="fontstyle0">Second, factors that did not appear relevant to their opinion of the cities' image as tourist destinations are safety, economic center, and technological center</span><span class="fontstyle2">. </span><span class="fontstyle0">Thirdly, cities that are generally well</span><span class="fontstyle2">-</span><span class="fontstyle0">known, Hong Kong, Seoul, and Phuket, are also thought to be more important in the future</span><span class="fontstyle2">.</span> </p> Nutthapon Jitprapai Kanyika Shaw Jantima Kheokao Thitiphat Limsumlitnipa Copyright (c) 2023 Nutthapon Jitprapai, Kanyika Shaw, Jantima Kheokao, Thitiphat Limsumlitnipa 2023-12-12 2023-12-12 10 1 THE IMPACT OF SOCIAL AND ENVIRONMENTAL FACTORS ON CRYPTOCURRENCY INVESTMENT BEHAVIOR AMONG GEN Z IN THAILAND https://journal.anpor.net/index.php/proceedings/article/view/127 <p><span class="fontstyle0">Cryptocurrency has sparked Generation Z's interest in Thailand, prompting an exploration into the factors driving their investment decisions. This study employs a mixed-methods approach, quantitative analysis, and qualitative insights from Crypto Experts to unveil the complexities of cryptocurrency investments among Gen-Z. Quantitative findings highlight the significance of financial knowledge and risk-taking in influencing investment choices. The Fear of Missing Out (FOMO) is a powerful motivator for this cohort. Qualitative interviews with Crypto Experts reinforce the importance of knowledge and reveal the subtle influence of influencers and peer pressure. This research has implications for stakeholders, emphasizing the need for accessible cryptocurrency education, emotional intelligence tools, and transparent regulatory guidelines. Support for informed and responsible investments among Gen-Z, as cryptocurrency evolves, becomes paramount.</span> </p> Chonthicha Kuldilok Manit Satitsamitpong Copyright (c) 2023 Chonthicha Kuldilok, Manit Satitsmitpong 2023-12-12 2023-12-12 10 1