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Socio-Demographic Factor and Selected Buying Behavioral Attributes of Purchasing Convenience Food: Multiple Correspondence Analyses to Explore the Relationship


Affiliations
1 Dept. of Business Administration, Utkal University, India
 

The objective of the study is to establish the relationship between socio demographic factors and buying behavior attributes towards convenience food. The present study is cross sectional in nature. Correspondence analysis method has been used to explore the relationship between socio- demographic factor and attribute associated with packaged food buying behavior. The correspondence analysis helps in evaluating the consumer preference of numerous qualitative parameters. The socio- demographic characteristics includes education, occupation, household size, age and income. The study was conducted in Bhubaneswar and the primary data was extracted from 711 respondents. The data is nominal in nature. The respondents are student, service people, businessmen and few housewives. The entire data was collected through Google form. The results of correspondence analysis suggest that there is significant relationship between socio-demographic factor and food preference attributes towards convenience food depicted through correspondence map. The young and less educated people prefer taste n flavor, variants, convenience, affordability, quick preparation and higher shelf life in packaged food item. On the contrary people with high age and in high income bracket prefer healthiness, food safety and strictly observe food labeling while purchasing. Such people prefer home cooked meal.

Keywords

Convenience Food, Multiple Correspondence Analysis, Buying Behavior, Socio-demographic, Active Margin.
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  • Ares, G., & Gámbaro, A. (2007). Influence of gender, age and motives underlying food choice on perceived healthiness and willingness to try functional foods Arimond, G., & Elfessi, A. (2001).
  • A clustering method for categorical data in tourism market segmentation research. Journal of Travel Research, 39(4), 391–397
  • Bajaj, C. (2019). Consumer Perception on Branding: A study on processed food.
  • Baker, J., Levy, M., & Grewal, D. (1992). An experimental approach to making retail store environmental decisions. Journal of retailing, 68(4), 445.
  • Bendixen, M. (1996). A practical guide to the use of correspondence analysis in marketing research. Marketing Bulletin Online, 14, Technical Note 2, 16-38.
  • Bruhn, C.M,(2008), “Consumer acceptance of food innovation”, Innovation: Management, Policy & Practice:, Food related innovation: Technology, Genetics and Consumer Impacts, Vol.10 No.1,pp.91-95
  • Brunner, T. A., Van der Horst, K., & Siegrist, M. (2010). Convenience food products. Drivers for consumption. Appetite, 55(3), 498-506.
  • Capps, O. H. (1983). Impact of household composition on convenience and nonconvenience food expenditure in the south. Southern Journal of Agricultural Economics , 111-118.
  • Chengappa, P.G, “Food Retail Chain and Supermarket Evolution in India”, Vice Chancellor, USA.
  • Dabrowska A., B.-z. E. (2011). zachowania Konsumentow w stosunku do Zywnosci nowej generacji. Hygeia Public Health, 39-46.
  • De Boer, M., McCarthy, M., Cowan, C., Ryan, I. (2003): The individual of lifestyle characteristics and beliefs about convenience food on the demand for convenience foods in the Irish market. Food Quality and Preference, 15(2004): 155-165
  • Dennison, C. M., & Shepherd, R. (1995). Adolescent food choice: An application of the Theory of Planned Behaviour. Journal of Human Nutrition and Dietetics, 8(1), 9-23.
  • Dettmann, R. L., & Dimitri, C. (2009). Who’s buying organic vegetables? Demographic characteristics of US consumers. Journal of Food Products Marketing, 16(1), 79-91.
  • Diallo, M. F. (2015). Drivers of Store Brands Usage in an Asian Emerging Market: Evidence Vietnam. International Journal of Retail & Distribution Management, 43(12), 1144-1161. http://dx.doi. org/10.1108/IJRDM-07-2014-0086
  • Divine, R. L., & Lepisto, L. (2005). Analysis of the healthy lifestyle consumer. Journal of Consumer marketing.
  • Engel, J. F., Blackwell, R. D., & Miniard, P. W. (2006). Consumer Behavior. Mason, OH: Thomson Business and Economics Ferreira, M., Hall, T. K., & Bennett, G.
  • (2008). Exploring brand positioning in a sponsorship context: A correspondence analysis of the Dew Action Sports Tour. Journal of Sport Management, 22(6), 734-761.
  • Fitzsimons, G. J., Hutchinson, J. W., Williams, P., Alba, J. W., Chartrand, T. L., Huber, J.,& Shiv, B. (2002). Nonconscious influences on consumer choice. Marketing Letters, 13(3), 269-279.
  • Forbairt/Enterprise Ireland. (1998). The devlopment of the prepared consumer food sector post 1999. Dublin Enterprise Ireland .
  • Furaiji, F., Łatuszyńska, M., & Wawrzyniak, A. (2012). An Empirical Study of the Factors Influencing Consumer Behavior in the Electric Appliances Market. Contemporary Economics, 6(3), 76-86. https://doi.org/10.5709/ce.1897-9254.52
  • Geest (2001). Market trends, (www.geest.co.uk/html/profile/markets/market_trends.htm), retrieved on 18th September, 2001.
  • Goetzke, B. I., & Spiller, A. (2014).Health-improving lifestyles of organic and functional food consumers. British Food Journal.
  • Gofton, L. (1995). Convenience and the moral status of consumer practices.
  • Gordon, A., Finlay, K. and Watts, T. (1994), “The psychological effects of colour in consumer product packaging”, Canadian Journal of Marketing Research, Vol. 13, pp. 3-11
  • Govindasamy, R., and J. Italia (1999). Predicting willingness-to-pay a premium for organically grown fresh produce. Journal of Food Distribution Research 30 (2): 44–53.
  • Greenacre, M.J. (1984). Theory and Application of Correspondence Analysis. London: Academic Press.
  • Grogan, S. C., Bell, R., & Conner, M. (1997). Eating sweet snacks: Gender differences in attitudes and behaviour. Appetite, 28(1), 19-31.
  • Grunert, K. G., & Valli, C. (2001). Designermade meat and dairy products: consumerled product development. Livestock Production Science, 72(1-2), 83-98.
  • H., M. (2013). Trendy w produkcji Zywnosci wygodnej i przyklady jej zastosowania w tutrystyce - wybrane aspekty. zeszyty Naukowe Turystyka i Rekreacja , 105-118.
  • Han, S., Ye, Y., Fu, X., & Chen, Z. (2014). Category Role Aided Market Segmentation Approach to Convenience Store Chain Category Management. Decision Support Systems, 57, 296-308. http://dx.doi.org/10.1016/j.dss.2013.09.017
  • Hansen, T 2005, ‘Understanding consumer perception of food quality: the cases of shrimps and cheese’, British Food Journal, vol. 107, no. 7, pp. 500-525 Harrison, A. (1979). Towards the Systematic Evaluation of Convenience Food. HICMA Journal 94(10) , 27-32.
  • Heider, R., & Moeller, S. (2012). Outlet Patronage in On-the-go 314-318 Hernandez,B.,Jimenez, J.,& Jose Martin, M.(2011). Age, gender, income: Do they really moderate online shopping behaviour? Online information review, 35(1),113-133
  • Hoffman, D.L., & Franke, G.R. (1986). Correspondence Analysis: Graphical representation of categorical data in marketing research. JMR, Journal of Marketing Research, 23(3), 213–227
  • Hoyle, Stephenson, M. T., Palmgreen, P., Lorch, E. P., & Donohew, R. L. (2002). Reliability and validity of a brief measure of sensation seeking. Personality and Individual Differences, 32(3), 401-414.
  • IGD (2001). Meal solution UK: Institute of grocery distribution business publication.
  • Ilya Rahkovsky, Y. J. (2018). Consumer Balanced Time & Money in Purchasing Convenience Food. Economic Research Services .
  • Jae, M. K., Ryu, J. S. and Abdel- Ghany, M. (2000). Family characteristics and convenience food expenditure in urban Korea. Journal of Consumer Studies and Home Economics, 24 (4), 252-256.
  • Joshi, Y., & Rahman, Z. (2015). Factors Affecting Green Purchase Behavior and Future Research Directions. International Strategic Management Review, 3(12), 128143. http://dx.doi.org/10.1016/j.ism.2015.04.001
  • K.S.Premavalli. (2000). Convenience Food for Defence Forcesbbased on Traditional Indian Foods. Defence Science Journal , 361-369.
  • Kaciak, E., & Louviere, J. (1990). Multiple correspondence analyses of multiple choice experiment data. JMR, Journal of Marketing Research, 27, 455–465 Kinsey, J., & Senauer, B. (1996). Consumer trends and changing food retailing formats. American Journal of Agricultural Economics, 78(5), 1187-1191.
  • Kotler, P., Keller, K. L., Koshy, A., & Jha, M. (2013). Marketing management: A South Asian perspective (14th ed.). New York, NY: Pearson Education, Inc
  • Kwon, Y. S., & Song, H. R. (2015). The Role of Opinion Leaders in Influencing Consumer Behaviors with a Focus on Market Mavens: A Meta-analysis. Athens Journal of Mass Media and Communications, 43-54. http://dx.doi.org/10.30958/ajmmc.1-1-3
  • Lähteenmäki, L., & Tuorila, H. (1998). Predicting the intention to use juice or milk in three contexts. Food quality and preference, 9(4), 231-236.
  • Maria, K. M., Anne, A., Ulla-Kaisa Koivisto, H., Lars, Å. & Per-Olow, S. (2001). Attitudes towards organic foods among Swedish consumers. British Food Journal, 103(3), 209-227.
  • Martin de Boer, M. M. (2004). The influence of lifestyle characterstics and belief about convenience food on the demand for convenience food in the Irish Market. Elsevier , 155-165.
  • McCarthy, M., de Boer, M., O’Reilly, S., & Cotter, L. (2003). Factors influencing intention to purchase beef in the Irish market. Meat Science, 65(3), 1071-1083
  • Meulenberg, M., & Viaene, J. (1998). Changing food marketing systems in western countries. In W. M. F. Jongen & M. Meulenberg (Eds.), Innovation of food production systems:
  • Moss,M. (2013). Salt Sugar Fat:How the Food Giant Hooked Us. New York : Random House .
  • Muktawat, P., Muktawat, N. and Varma, N. (2013), “Impact of ready to eat food taken by single living male and female”, International Journal of Scientific and Research Publications, Vol. 3 No. 11, pp.1-3.
  • Närhinen, M., Nissinen, A., & Puska, P. (1999). Healthier choices in a supermarket. British food journal.
  • Newman, C, M. Henchion and A. Mathews.2001. “A double Hurdle model of Irish Household Expenditure on prepared meals.”Economics Paper 200119, Trinity College Dublin, 814-24.
  • Nguyen, D. H., de Leeuw, S., & Dullaert, W. E. H. (2016). Consumer Behavior and Order Fulfilment in Online Retailing: A Systematic Review. International Journal of Management Reviews, 1-22. https://doi.org/10.1111/ijmr.12129
  • Orji, O. (2013). Major Classic Consumer Buying Behavior Models: Implications for Marketing Decision-Making. Journal of Economics and Sustainable Development, 4(4), 164-172.
  • Pandey, S., Khare, A., & Bhardwaj, P. (2015). Antecedents to Local Store Loyalty: Influence of Culture, Cosmopolitanism and Price. International Journal of Retail & Distribution Management, 43(1), 5-25, https://doi.org/10.1108/IJRDM-08-2013-0156
  • Park, J. O. (1997). Demand for Prepared Meals by U.S. Household. American journal of Agricultural Economics, 814-24.
  • Paulus, K. (1978). “Ready-to-serve food: Defination,application,Quality requirements:How Ready Are Ready-touse Foods.”. 6-14.
  • Pliner, P., & Mann, N. (2004). Influence of social norms and palatability on amount consumed and food choice. Appetite, 42(2), 227-237.
  • Priest, J., Carter, S., & Stat, D. (2013). Consumer Behavior. United Kingdom: Edinburgh Business School Press.
  • Quah, S. H., & Tan, A. K. (2009). Consumer purchase decisions of organic food products: An ethnic analysis. Journal of International Consumer Marketing, 22(1), 47-58.
  • Roosen, J., Bruhn, M., Mecking, R. A., & Drescher, L. S. (2008). Consumer demand for personalized nutrition and functional food. International journal for vitamin and nutrition research, 78(6), 269-274.
  • Rozin, P., Fallon, A., & Mandell, R. (1984). Family resemblance in attitudes to foods. Developmental Psychology, 20(2), 309-314.
  • S.S Manohar, BV Balasubramanyam and Sheshachala, Convenience Foods - Growth & Prospects, Indian food Industry, Vol.24, No. 4, (July-Aug) 2005.
  • Saba, A., Vassallo, M., Shepherd, R., Lampila, P., Arvola, A., Dean, M.,.& Lähteenmäki, L. (2010). Country-wise differences in perception of healthrelated messages in cereal-based food products. Food Quality and Preference, 21(4), 385-393.
  • Šánová, P., Svobodová, J., & Laputková, A. (2017). Using Multiple Correspondence Analysis to Evaluate Selected Aspects of Behaviour of Consumers Purchasing Local Food Products. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 65(6), 2083-2093.
  • Sen, S., Antara, N., & Sen, S. (2019). Factors influencing consumers’ to Take Ready-made Frozen Food. Current Psychology, 1-10.
  • Senauer B., E. Asp, and J. Kinsey. 1998. Food Trends and the changing consumer. Minnesota : Egan Press
  • Shashikiran, L., & Madhavaiah, C. (2015). Impact of Socio Economic Factors on Purchase Behaviour of Organic Food Products. International Journal of Economics and Business Administration, 1(2), 82-86.
  • Sorenson, D., & Bogue, J. (2005). A conjoint‐based approach to concept optimization: probiotic beverages. British Food Journal.
  • Soto-Méndez, M. J., Campos, R., Hernández, L., Orozco, M., Vossenaar, M., & Solomons, N. W. (2011). Food variety, dietary diversity, and food characteristics among convenience samples of Guatemalan women. salud pública de méxico, 53(4), 288-298.
  • Stoddard, J. E., Dotson, M., & Das, N. (2016). Using focus groups and correspondence analysis to explore the relationship between millennials’ online behavior and their opinions of online reviews. Atlantic Marketing Journal, 5(2), 4.
  • Taylor, J. P., Evers, S., & McKenna, M. (2005). Determinants of Healthy Eating in Children and Youth. Canadian Journal of Public Health / Revue Canadienne de Sante’e Publique, 96(Journal Article), S20-S26.
  • Traub, L. a. (1979). Convenience foods and Home Prepared Foods. USDA/ERS AER No.429 .
  • Umali‐Deininger, D., & Sur, M. (2007). Food safety in a globalizing world: opportunities and challenges for India. Agricultural Economics, 37, 135-147.
  • Urala, N., & Lähteenmäki, L. (2007). Consumers’ changing attitudes towards functional foods. Food Quality and Preference, 18(1), 1-12.
  • Valaskova, K., Kliestikova, J., & Krizanova, A. (2018). Consumer perception of private label products: An empirical research. Journal of Competitiveness, 10(3), 149.
  • Van der Horst, K., Brunner, T. A., & Siegrist, M. (2011). Ready-meal consumption: associations with weight status and cooking skills. Public health nutrition, 14(2), 239-245.
  • Veenma, K. S., Kistemaker, C., & Lowik, M. R. H. (1995). Socio-demographic, psycho-social and life-style factors affecting consumption of convenience food. ACR European Advances.
  • Verbeke, W., & Lopez, G. P. (2005). Ethnic food attitudes and behaviour among Belgians and Hispanics living in Belgium. British Food Journal, 107(10/11), 823.
  • Verlegh, P.W.J., & Candel, M.J.J.M (1999). The consumption of convenience food: reference group & eating situation. Food quality & Preference, 10(6), 457-464
  • Wansink, B., & Ittersum, K. V. (2003). Special Session Summary Weight and Height and Shape and Size: When Do Peripheral Cues Drive Evaluation and Consumption?. ACR North American Advances.
  • Wu, P. C., Yeh, G. Y. Y., & Hsiao, C. R. (2011). The effect of store image and service quality on brand image and purchase intention for private label brands. Australasian Marketing Journal (AMJ), 19(1), 30-39.
  • Yun, Z. S., & Pysarchik, D. T. (2010). Indian consumers’ value-based new food product adoption. Journal of Food Products Marketing, 16(4), 398-417.
  • Zhao, X, Chambers, E, Matta, Z, Loughin, T & Carey, E 2007, ‘Consumer sensory analysis

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  • Socio-Demographic Factor and Selected Buying Behavioral Attributes of Purchasing Convenience Food: Multiple Correspondence Analyses to Explore the Relationship

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Authors

Shantanu Raj
Dept. of Business Administration, Utkal University, India
B. B. Mishra
Dept. of Business Administration, Utkal University, India

Abstract


The objective of the study is to establish the relationship between socio demographic factors and buying behavior attributes towards convenience food. The present study is cross sectional in nature. Correspondence analysis method has been used to explore the relationship between socio- demographic factor and attribute associated with packaged food buying behavior. The correspondence analysis helps in evaluating the consumer preference of numerous qualitative parameters. The socio- demographic characteristics includes education, occupation, household size, age and income. The study was conducted in Bhubaneswar and the primary data was extracted from 711 respondents. The data is nominal in nature. The respondents are student, service people, businessmen and few housewives. The entire data was collected through Google form. The results of correspondence analysis suggest that there is significant relationship between socio-demographic factor and food preference attributes towards convenience food depicted through correspondence map. The young and less educated people prefer taste n flavor, variants, convenience, affordability, quick preparation and higher shelf life in packaged food item. On the contrary people with high age and in high income bracket prefer healthiness, food safety and strictly observe food labeling while purchasing. Such people prefer home cooked meal.

Keywords


Convenience Food, Multiple Correspondence Analysis, Buying Behavior, Socio-demographic, Active Margin.

References





DOI: https://doi.org/10.23862/kiit-parikalpana%2F2020%2Fv16%2Fi1-2%2F204559