TOURIST HETEROGENEITY IN FOOD DESTINATION IMAGE: GENDER, AGE AND LENGTH OF STAY DIFFERENCES, MALAYSIA

Authors

  • MOHD SYAIFUDDIN MOHD ALIAS Faculty of Business, Raffles University Iskandar, Johor, Malaysia.
  • HASHIM FADZIL ARIFFIN Faculty of Hotel and Tourism Management, Universiti Teknologi MARA (UiTM), Selangor, Malaysia.
  • ZAHARAH MOHAMED RANI Faculty of Hotel and Tourism Management, Universiti Teknologi MARA (UiTM), Selangor, Malaysia.
  • MAZARINA DEVI Faculty of Engineering and Vocational, Universitas Pendidikan Ganesha, Bali, Indonesia.
  • DAMIATI Faculty of Vocational Studies, Universitas Negeri Malang, East Java, Indonesia
  • SITI FATIMAH MADZALAN Orient Escape Travel Sdn. Bhd., Kuala Lumpur, Malaysia.

DOI:

https://doi.org/10.55197/qjssh.v7si5.1762

Keywords:

destination image, tourist heterogeneity, food tourism, tourist segmentation, Malaysia

Abstract

This study examines whether food destination image perceptions differ across selected dimensions of tourist heterogeneity, specifically gender, age, and length of stay in the Malaysian food tourism context. A quantitative, descriptive and cross-sectional survey design was employed using data from 653 tourists who participated in food-related tourism activities in Malaysia. Independent samples t-tests and Welch’s analysis of variance (ANOVA), followed by Games-Howell post-hoc comparisons, were used by using SPSS to examine differences in food destination image across tourist groups. Effect sizes were also reported to assess the practical magnitude of statistically significant differences. The findings indicate statistically significant differences in food destination image across gender, age, and length of stay groups. Male respondents reported higher food destination image scores than female respondents, although the magnitude of the difference was small. The findings suggest that destination management organisations and food tourism marketers should recognise tourist heterogeneity when developing destination communication and experience strategies. The study provides empirical evidence that food destination image perceptions are not necessarily uniform across tourist groups within the Malaysian food tourism context. By considering both statistical significance and effect size, the study offers a more cautious understanding of tourist heterogeneity in food destination image.

References

[1] Ai, J., Yan, L., Hu, Y., Liu, Y. (2022): An investigation into the effects of destination sensory experiences at visitors’ digital engagement: Empirical evidence from Sanya, China. – Frontiers in Psychology 13: 12p.

[2] Arifen, Z.N.Z., Shahar, S., Abdul Majid, H., Yaacob, N., Haron, H. (2026): Factors influencing consumers in purchasing street food in Malaysia. – Cogent Business and Management 13(1): 1-17.

[3] Baloglu, S., McCleary, K.W. (1999): A model of destination image formation. – Annals of Tourism Research 26(4): 868-897.

[4] Berdejo Fariña, A.V., Espino-Rodríguez, T.F. (2026): Entrepreneurial orientation and hotel gastronomic innovation: The impact on financial performance and customer perceived value. – Journal of Hospitality and Tourism Insights 9(3): 1316-1336.

[5] Brochado, A., Veríssimo, J.M.C., de Oliveira, J.C.L. (2022): Memorable tourism experiences, perceived value dimensions and behavioural intentions: A demographic segmentation approach. – Tourism Review 77(6): 1472-1486.

[6] Cavazza, N., Guidetti, M., Butera, F. (2017): Portion size tells who I am, food type tells who you are: Specific functions of amount and type of food in same- and opposite-sex dyadic eating contexts. – Appetite 112: 96-101.

[7] Chen, J., Wu, J., Wang, D., Stantic, B. (2025): Beyond static rankings: A tourist experience-driven approach to measure destination competitiveness. – Tourism Management 106: 14p.

[8] Chen, L.T., Liu, L. (2019): Content analysis of statistical power in educational technology research: Sample size matters. – International Journal of Technology in Teaching and Learning 15(1): 49-75.

[9] Choi, J. (2025): From desire to action: Unpacking push–pull motivations to reveal how travel sparks eco-intentions and actions. – Behavioral Sciences 15(12): 18p.

[10] Chu, Q., Bao, G., Sun, J. (2022): Progress and prospects of destination image research in the last decade. – Sustainability 14(17): 19p.

[11] Cochran, W.G. (1977): Sampling techniques. – John Wiley and Sons, New York 448p.

[12] Cohen, J. (1988): Statistical power analysis for the behavioral sciences. – Lawrence Erlbaum Associates, Hillsdale, New Jersey 567p.

[13] Darley, W.K., Smith, R.E. (1995): Gender differences in information processing strategies: An empirical test of the selectivity model in advertising response. – Journal of Advertising 24(1): 41-56.

[14] Das, P., Babu, S., Mandal, S., Ram, A., Sureshkumar, T. (2025): From awareness to accessibility: Decoding constraints to rural tourism among younger generations. – Journal of Hospitality and Tourism Insights 9(3): 1368-1384.

[15] Deckert, J., Wilson, M. (2023): Descriptive research methods. – Research Methods in the Dance Sciences, University Press of Florida: 153-165.

[16] Doan, M.H., Drossel, A.L., Sassen, R. (2025): Sustainable food consumption behaviors of generations Y and Z: A comparison study. – Cleaner and Responsible Consumption 17: 12p.

[17] Dolnicar, S. (2004): Beyond commonsense segmentation: A systematics of segmentation approaches in tourism. – Journal of Travel Research 42: 244-250.

[18] Feraco, A., Armani, A., Amoah, I., Guseva, E., Camajani, E., Gorini, S., Strollo, R., Padua, E., Caprio, M., Lombardo, M. (2024): Assessing gender differences in food preferences and physical activity: A population-based survey. – Frontiers in Nutrition 11: 13p.

[19] Gang-Hoan, J., Yang-Woo, P., Ting, H. (2008): A comparative study between first-time visitors and repeat visitors to cultural tourism festival: Focused on Boryeong Mud Festival. – Journal of Tourism and Leisure Research (관광레저연구) 15p.

[20] Gemar, G., Sanchez-Teba, E.M., Soler, I.P. (2022): Factors determining cultural city tourists’ length of stay. – Cities 130: 11p.

[21] Guerreiro, M., Pinto, P., de Matos, N., Bagheri, F., Sequeira, D., Parra, A. (2025): Unveiling the impacts of tourist experiences on experiential image, satisfaction, and loyalty: A study in Algarve, a European premier beach destination. – Journal of Vacation Marketing 22p.

[22] Hamdy, A., Zhang, J., Eid, R. (2024): A new proposed model for tourists’ destination image formation: The moderate effect of tourists’ experiences. – Kybernetes 53(4): 1545-1566.

[23] Horovitz, O. (2024): A theory of food exploration with gender differences: Childhood eating habits and implicit food attitudes. – Nutrients 16: 16p.

[24] Ibrahim, M.A., Wan Mohd Zain, W.M.A., Shariffuddin, N.S.M., Azinuddin, M., Hidayat Mohd Salim, M.N., Zainul, N.H. (2025): Crafting food destination image in the social media age: Dynamics of consumption, experience, and culture differences. – Journal of Hospitality and Tourism Insights 8(5): 1907-1926.

[25] Karim, M.S.A., Chua, B.L., Salleh, H. (2010): Malaysia as a culinary tourism destination: International tourists’ perspective. – Journal of Tourism, Hospitality and Culinary Arts 1(3): 63-78.

[26] Lee, C., Hallak, R., Sardeshmukh, S.R. (2016): Innovation, entrepreneurship, and restaurant performance: A higher-order structural model. – Tourism Management 53: 215-228.

[27] Leijen, I., van Herk, H., Bardi, A. (2022): Individual and generational value change in an adult population: A 12-year longitudinal panel study. – Scientific Reports 12: 12p.

[28] Leong, A.M.W., Yeh, S.S., Chen, H.B., Lee, C.L., Huan, T.C. (2024): Does gender make a difference in heritage tourism experience? Searching for answers through multi-group analysis. – Tourism Management Perspectives 52: 13p.

[29] Lewis-Beck, M.S., Bryman, A., Liao, T.F. (2004): Welch test. – The SAGE Encyclopedia of Social Science Research Methods, SAGE Publications 2p.

[30] Liat, C.B., Nikhashemi, S.R., Dent, M.M. (2021): The chain effects of service innovation components on the building blocks of tourism destination loyalty: The moderating role of religiosity. – Journal of Islamic Marketing 12(9): 1887-1929.

[31] Liu, Y.F., Zhu, Y.B., Wu, H.H., Li, F. (2024): Are there any differences in the tourists’ perceived destination image between travel e-commerce platforms and social media platforms? – Tourism Critiques: Practice and Theory 5(2): 229-253.

[32] Lombardi, R., Schimperna, F., Marcello, R. (2021): Human capital and smart tourism’s development: Primary evidence. – International Journal of Digital Culture and Electronic Tourism 3(3-4): 294-309.

[33] Madden, K., Rashid, B., Zainol, N.A. (2016): Beyond the motivation theory of destination image. – Tourism and Hospitality Management 22(2): 247-264.

[34] McKercher, B. (2023): Age or generation? Understanding behaviour differences. – Annals of Tourism Research 103: 10p.

[35] Meng, L., Liu, Y., Wang, Y., Li, X. (2021): A big-data approach for investigating destination image gap in Sanya City: When will the online and the offline goes parted? – Regional Sustainability 2: 98-108.

[36] Miles, J., Shevlin, M. (2001): Applying regression and correlation: A guide for students and researchers. – SAGE Publications, London 272p.

[37] Moisa, D.G., Parapanos, D., Heap, T. (2025): The role of digital footprints for destination competitiveness and engagement: Utilizing mobile technology for tourist segmentation integrating personality traits. – International Journal of Tourism Research 27(1): 22p.

[38] Nazir, M.U., Yasin, I., Tat, H.H. (2021): Destination image’s mediating role between perceived risks, perceived constraints, and behavioural intention. – Heliyon 7: 1-11.

[39] Okumus, B., Dedeoğlu, B.B., Shi, F. (2021): Gender and generation as antecedents of food neophobia and food neophilia. – Tourism Management Perspectives 37: 12p.

[40] Polko, P., Kimic, K. (2022): Gender as a factor differentiating the perceptions of safety in urban parks. – Ain Shams Engineering Journal 13: 11p.

[41] Preston, C.C., Colman, A.M. (2000): Optimal number of response categories in rating scales: Reliability, validity, discriminating power, and respondent preferences. – Acta Psychologica 104(1): 1-15.

[42] Rather, R.A. (2020): Customer experience and engagement in tourism destinations: The experience marketing perspective. – Journal of Travel and Tourism Marketing 37(1): 15-32.

[43] Reina Paz, M.D., Rodríguez Vargas, J.C. (2023): Main theoretical consumer behavioural models: A review from 1935 to 2021. – Heliyon 9(3): 14p.

[44] Schiffman, L.G., Kanuk, L.L., Kumar, S.R. (2010): Consumer behavior. – Pearson Prentice Hall, New Delhi 592p.

[45] Sekaran, U., Bougie, R. (2013): Research methods for business: A skill-building approach. – John Wiley and Sons 436p.

[46] Siregar, T. (2026): Analysis of normality test and homogeneity test in quantitative research. – Journal of Inequalities and Mathematical Analysis 1(1): 1-38.

[47] Sparks, B., Pan, G.W. (2009): Chinese outbound tourists: Understanding their attitudes, constraints and use of information sources. – Tourism Management 30: 483-494.

[48] Tkaczynski, A., Rundle-Thiele, S.R., Beaumont, N. (2009): Segmentation: A tourism stakeholder view. – Tourism Management 30(2): 169-175.

[49] Torres-Pruñonosa, J., Batlle, A.A., De Esteban Curiel, J., Díez-Martín, F. (2024): The intellectual structure of destination image research in tourism (2001–2023): Background, pre-pandemic overview, shifts during COVID-19 and implications for the future. – Journal of Vacation Marketing 30(1): 143-165.

[50] Vu, O.T.K., Alonso, A.D., Nguyen, T.T., Ngo, A.T.T. (2025): Gastronomy and beverages as key resources of a nation’s destination image potential. – Current Issues in Tourism 21p.

[51] Wang, Z., Udomwong, P., Fu, J., Onpium, P. (2024): Destination image: A review from 2012 to 2023. – Cogent Social Sciences 9(1): 1-22.

[52] Zaeimoedin, T.Z.B., Rosdi, E., Susanti, R. (2022): Does food image attribute influence the tourist repeat visitation? Evidence from Malaysia. – Malaysian Journal of Social Sciences and Humanities 7(9): 1-10.

Downloads

Published

2026-11-07

Issue

Section

Articles

How to Cite

TOURIST HETEROGENEITY IN FOOD DESTINATION IMAGE: GENDER, AGE AND LENGTH OF STAY DIFFERENCES, MALAYSIA. (2026). Quantum Journal of Social Sciences and Humanities, 7(SI5), 258-272. https://doi.org/10.55197/qjssh.v7si5.1762