Information Perception on Military Civil Affairs via Digital Technology

Main Article Content

Wattanai Yimsukpaitoon
Vasin Chooprayoon

Abstract

This research aims to study: 1) the level of Thai citizens’ perception of Thai military civil affairs via digital technology across the dimensions of information exposure, selectivity, and memorability; 2) the factors influencing the perception of civil affairs information; and 3) to propose appro priate guidelines for enhancing public perception of Thai military civil affairs via digital technology in the civilian sector. The study employed a systematic random sampling method to collect empirical data from respondents residing in areas
under Military Regions 1-5 of the Royal Thai Armed Forces Headquarters. The data were analyzed using both descriptive statistics (frequency distribution, percentage, mean and standard deviation) and inferential statistics (t-test, one-way ANOVA and multiple linear regression).


The research findings revealed that: 1) the level of perception among Thai citizens regarding Thai military civil affairs via digital technology––interms of information exposure, selectivity, and memorability––was at a moderate level (mean = 2.67, SD = 0.63); 2) basic knowledge, inference and hypothesis formulation skills, differentiation ability,
and the ability to establish connections were all found to influence perception at a moderate level (mean = 2.93, SD = 0.65). Hypothesis testing resulted in six predictive models, with coefficients of determination (R2) ranging from 16.6% to 70%; and 3) the appropriate approach to improving
public perception of military civil affairs through digital technology is to enhance the content to ensure it is consistent and easily memorable, particularly in the areas of national development, disaster relief, and the protection and honor of the monarchy.

Article Details

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Research Articles

References

กรมการปกครอง, สำนักบริหารการทะเบียน. (2567). สถิติประชากรทางการทะเบียนราษฎร (รายเดือน). https://stat.bora.dopa.go.th/stat/statnew/statMONTH/statmonth/#/view

ชโลธร มงคล. (2562). แนวทางการพัฒนาการใช้สื่อเฟสบุ๊คในยุคไทยแลนด์ 4.0 เพื่อการประชาสัมพันธ์ให้เกิดการมีส่วม

ร่วมระหว่างหน่วยงานราชการและประชาชน: กรณีศึกษา กองทัพบก (วิทยาศาสตรมหาบัณฑิต, มหาวิทยาลัยธรรมศาสตร์]. TU Divital Collections. https:/ditalibrary.tu.ac.th/tu dc/frontend/Info/item/dc:179984

Acharjee, P. P., & Maity, G. (2017). Influence of Occupation on Information Behaviour. International Journal of Library and Information Studies, 7(4), 13-18. https://www. ijlis.org/abstract/influ ence-of-occupation-on-information-behaviour-69756.html

Dantes, N., & McBain, J. (2024, April 24). The top 41 education and training programs for channel and partnership professionals. https://canalys.com/insights/the-top-41-education-and-training-pro grams-for-channel-and-partnership-professionals

Fiveable. (2024, August 1). Information Dissemination – AP World History: Modern. https://library.fiveable. me/key-terms/ap-world/information-dissemination

Kiener, F., Eggenberger, C., & Backes-Gellner, U. (2024). The role of occupational skill sets in the digital transformation: how IT progress shapes returns to specialization and social skills. Journal of Business Ecoomicsn, 94(1), 75–111. https://doi.org/10.1007/s11573-023-01153-9

Kirjakovski, A. (2023). Rethinking perception and cognition in the digital environment. Frontiers in Cognition Section Perception, 2, Articel 1266404. https://doi.org/10.3389/fcogn.2023.1266404

Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. educational and psychological measurement, 30(3), 607-610. https://doi.org/10.1177/001316447003000308

Manafy, M. (2022, February 21). Digital media behaviors between older and younger generations converge. https://digitalcontentnext.org/blog/2022/02/21/digital-media-behaviors-between-old er-and-younger-generations-converge/

Master, S., & Barth, J. (2022). Do Gender Conformity Pressure and Occupational Knowledge Influence Stereotypical Occupation Preferences in Middle Childhood?. Frontiers in Education Sec. Educational Psychology, 6, Article 780815. https://doi.org/ 10.3389/feduc.2021.780815

National Institute on Aging. (2023, June 27). How the Aging Brain Affects Thinking. https://www.nia.nih. gov/health/brain-health/how-aging-brain-affects-thinking

Pérez-Torres, V. (2024). Social media: a digital social mirror for identity development during adolescence. Current Psychology, 43, 22170-22180. https://doi.org/10.1007/s12144-024-05980-z

Qazi, A., Hasan, N, Abayomi-Alli, O., Hardaker, G., Scherer, R., Sarker, Y., Paul, S. K., & Maitama, J. Z. (2022). Gender differences in information and communication technology use & skills: a systematic review and meta-analysis. Education and Information Technologies, 27, 4225-4258. https:// doi.org/10.1007/s10639-021-10775 -x

Rhodes, S., Greene, N. R., & Naveh-Benjamin, M. (2019). Age-related differences in recall and recognition: a meta-analysis. Psychonomic Bulletin & Review, 26, 1529–1547. https://doi.org/10.3758/ s13423-019-01649-y

Shanmugasundaram, M., & Tamilarasu, A. (2023). The impact of digital technology, social media, and artificial intelligence on cognitive functions: A review. Frontiers in Cognition Section Learning and Cognitive Development, 2, Article 1203077. https://doi.org/10.3389/fcogn.2023.1203077

Smith, G. (2025, 3 April). What is Digital Communication: Explained with Examples. https://www.thek nowledgeacademy.com/blog/digital-communication/

The Organisation for Economic Co-operation and Development. (2019). A digital world of work: Trans formations of occupations and the implications for skills needs. In OECD Skills Outlook 2019 Thriving in a Digital World. (p.37-77). https://doi.org/10.1787/df80bc12-en

Timotheou, S., Miliou, O., Dimitriadis, Y., Sobrino, S. V., Giannoutsou, N., Cachia, R., Monés, A. M., & Ioannou, A. (2023). Impacts of digital technologies on education and factors influencing schools’ digital capacity and transformation: A literature review. Education and Information Technology, 28, 6695–6726. https://doi.org/10.1007/s10639-022-11431-8

Tolan, S., Pesole, A., Martınez-Plumed, F., Fernandez-Macıas, E., Hernandez-Orallo, J., & Gomez, E. (2021). Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks. Journal of Artificial Intelligence Research, 71, 191-236. https://doi.org/10.1613/jair.1.12647