Family Demography and Purchase Decision on Speciality Goods in Enugu State, Nigeria.
Authors
Department of Marketing; Ebonyi State University Abakaliki (Nigeria)
Department of marketing Chukwuemeka Odumegwu Ojukwu University Igbariam Anambra State (Nigeria)
Department of Commerce and Cooperative School f Business Education , Federal college of education (Technical ) Umunze Anambra State (Nigeria)
Department of Marketing ; University of Calabar (Nigeria)
Department of Entrepreneurship ; University of Delta Agbor (Nigeria)
Article Information
DOI: 10.47772/IJRISS.2026.100400097
Subject Category: Marketing
Volume/Issue: 10/4 | Page No: 1312-1324
Publication Timeline
Submitted: 2026-01-14
Accepted: 2026-01-20
Published: 2026-04-28
Abstract
The study focused on family demography and purchase decision on Speciality goods in Enugu State, Nigeria. The study specifically sought to determine the extent family demographic variables such as family education status, family perceived income level, and family size influences purchasing decision making for specaility goods in Enugu urban, Enugu state, Nigeria. Descriptive survey research design was adopted for the study. A population size of 1,268,831, out of which a sample size of 400 was gotten using Taro Yamen’s formula at 5% error tolerance and 95% level of confidence. Instrument used for data collection was structural questionnaire. Out of 400 copies of the questionnaire that were distributed, 354 copies were returned while 46 were not returned. The hypotheses were tested using Pearson product moment correlation coefficient and simple linear regression statistical tools. The findings indicate that Education status has a significant influence on family purchasing decision making for specialty goods in Enugu State Nigeria. There was a positive relationship between Family size and family purchasing decision making for specialty goods in Enugu State Nigeria. Perceived income has a significant influence family purchasing decision making for specialty goods in Enugu State Nigeria.. The implications of study revealed that education status perceived income , and family size has a significant effect on family purchase decision. The study concluded that a family is the key element that affects the consumption and disposal of the products. It is vital for a seller to identify the issues related to family structure, buying patterns, buying roles and motives of the family members. The study recommended that families should send their families members to school so as to help them to be well placed in life, as well as making them to purchase product of their choose.
Keywords
Education Status ; Family Size; Family Perceived
Downloads
References
1. Alam, B. G. S. (2018), ‘Some customers would rather leave without saying goodbye,’ Marketing Science, 37(1), pp. 54–77 [Google Scholar] [Crossref]
2. Andersene, I., & Gaile-Sarkane, E. (2008). Influence of factors on consumer behavior. 5th International Scientific Conference (pp. 331-337). Vilnius: Technika [Google Scholar] [Crossref]
3. Bonfield, E.H. (1978), "Perception of metical roles in decision process; replication and extension" in Hunt, H.K. (Ed.), Advances in Consumer Researcli, Association for Consumer Research, pp. 303-07. [Google Scholar] [Crossref]
4. Burns, A. C., and Gentry, J. W. (1990), “Toward improving household consumption behavior research”, Advances in Consumer Research XVII: 518-523 [Google Scholar] [Crossref]
5. Carlson M and Gross N. (2018) The female labour force in metropolitan areas: An international comparison’, economic development and cultural change, 10(4): 367-38 [Google Scholar] [Crossref]
6. Cummuri, S. and Gentry, J.W. (2000). "Opportunities for family research in making", Academy making Science Review, pp 1-32 [Google Scholar] [Crossref]
7. Desia, R.,(2016). Archival research: A neglected method in organization Studies, Benchmarking: An International Journal [Google Scholar] [Crossref]
8. Do Paco, A., Raposo, M. and Walter, F.L. (2009). Identifying the green consumer: A segmentation study. Journal of Targeting, Measurement and Analysis for Marketing 17 (1), 17–25 [Google Scholar] [Crossref]
9. Exter, P. (1988). How to think like a demographer, The insider’s guide to demographic know how. (pp. 6). Ithaca: American Demographic Press. [Google Scholar] [Crossref]
10. Fisher, C., Bashyal, S. and Bachman, B. (2012). Demographic impacts on environmentally friendly purchase behaviors. Journal of Targeting, Measurement and Analysis for Marketing, 20 (3–4), 172– [Google Scholar] [Crossref]
11. Gouxet, D., Maurin, E.,. (2005). The effect of over crowded housing on children's performance at school. Journal of Public Economics , 89(5-6), 797- 819 [Google Scholar] [Crossref]
12. Guneri, B., Kaplan M. and Delea M (2009) The influence of children on family purchasing decisions in Turkey, Advances in Consumer Research 7(3)5 [Google Scholar] [Crossref]
13. Kaur, P. & Singh, R. (2006). Children in family purchase decision making in India and the West: A review. Academy of Marketing Science Review, 8, 1-32 [Google Scholar] [Crossref]
14. Kotler,P, (2008). Marketing management and organizations, 4th Ed: international editions, prentice [Google Scholar] [Crossref]
15. Kumar, R. and Kumar, R. (2019). Impact of various demographic factors on consumer behavior – an empirical study of electronic products in rural Himachal, Indian Journal of economics and business, 19 (1), 109-127 [Google Scholar] [Crossref]
16. Laroche, M., Bergeron, J. and Forleo, G.B. (2001). Targeting consumers who are willing to pay more for environmentally friendly products. Journal of Consumer Marketing 18 (6): 503–520 [Google Scholar] [Crossref]
17. Marshall, D. (2010). Understanding children as consumers. New York: Sage [Google Scholar] [Crossref]
18. Mazloumi, S.S.S., Efteghar, A., Ghalandari, A., Saifi, B., & Aghandeh, I. (2013). Evaluating the effect of demographic differences on consumers’ purchasing behavior (Case Study: Tetra Pak Consumers). International Research Journal of Applied and Basic Sciences, 4(7), 1866-1867 [Google Scholar] [Crossref]
19. Mintel, V. (2002). Socioeconomic disadvantage and child development. American Psychologist 53:185–204 [Google Scholar] [Crossref]
20. Norgaard, M., Bruns, K., Christensen, P. and Mikkelsen, M. (2007). Children’s influence on and participation in the family decision process during Food Buying. Journal of Young Consumers, 8 [Google Scholar] [Crossref]
21. Omar, N. A., Nazri, M. A., Osman, L.H. and Ahmad, M.S. (2016). The effect of demographic factors on consumer intention to purchase organic products in the Klang Valley: An empirical study. Malaysian Journal of Society and Space, 12(2), 68 – 82 [Google Scholar] [Crossref]
22. Perner, L. (2010). Consumer behavior: The psychology of marketing. Retrieved November 2, 2010, from http://www.consumerpsychologist.com [Google Scholar] [Crossref]
23. Roslin, A. R., Zuraidah, S., Thoo, A. C., Mohd, S. M. A. and Mohd, H. A. H. (2017). E-WOM review adoption: consumers’ demographic profile influence on green purchase intention. IOP Conf. Series: Materials Science and Engineering, 215. [Google Scholar] [Crossref]
24. Sirakaya, E., and Woodside, A. G., (2005), “Building and testing theories of decision making by travellers”, Tourism Management, 26 (2005), 815–832 [Google Scholar] [Crossref]
25. Storstad, O. and Bjorkhaug, H. (2003). Foundations of production and consumption of organic food in Norway: Common attitudes among farmers and consumers. Agriculture and Human Values, 20, 151- 63 [Google Scholar] [Crossref]
26. Straughan, R. D. and Roberts, J. A. (1999). Environmental segmentation alternatives: A look at green consumer behavior in the new millennium. Journal of Consumer Marketing 16 (6): 558–575 [Google Scholar] [Crossref]
27. Turner, R Kelly N and Mc Kenna, J. (2006). Essentials of business research: A guide to doing your research project: SAGE Publications [Google Scholar] [Crossref]
28. Vaňo, B., Jurčová, D., & Mészáros, J. (2002). Population projection of Slovakia until 2050. (pp. 12-17). Bratislava: Akty [Google Scholar] [Crossref]
29. White,N (2018). Consumer behavior, 9th Edition, Pearson- prentice Hall, India, ISBN: 81 7758-999-7, Page no: 550-567 [Google Scholar] [Crossref]