본문 바로가기
KERD
논문KCI 등재

Generational Consumer Segments and Shopping Process Characteristics: Baby Boomers and Echo Boomers with Apparel Product Selection Activities

0

조회

0

다운로드

10

인용

0

참고문헌

키워드

주제분류경영학

초록

Understanding consumers by examining their characteristicswithin segments is a key activity for business success. Manyapparel businesses use this strategic tool for focusing theirpromotions efforts and their assortment selections on a groupor segment of consumers. For practitioners and academicians,two of the largest and most intriguing consumer segments inthe 2000s are Baby Boomers and Echo Boomers (i.e., GenYs). The Echo Boomers are the children of the Baby Boomersor the second generation of consumers following the generationof the Baby Boomers. These generational segments representtwo of the most affluent consumer groups in the market place. Many retailers and academic researchers are interested inthese segments, and although each segment has received somereview, limited academic research has examined their apparelshopping behavior. Studies tend to be focused on onegeneration but not on the comparison of the two generationsand their similar or different shopping activities. The purpose of this study was to examine the influences ofgenerational consumer segments, shopping orientation, andspecific product categories on the shopping process variables. Data collection resulted in 355 usable responses from EchoBoomers (ages 18-24) and 180 responses from Baby Boomers(ages 46-59). The respondents, for both generations, includedthree-fourths female and one-fourth male consumers. Theprimary occupation for Baby Boomers was listed asprofessionals (53%), while the second most commonoccupation was listed as homemaker (16%). More than 98% ofthe Echo Boomers were full time students. Exploratory factor analysis resulted in two shoppingorientation variables (i.e., fashionista and experiential). Multipleregression analyses showed that these two orientation factorssignificantly explained both segments’ shopping processactivities (i.e., wait time and try on). In contrast, thegenerational segment variable showed no significant differences for the shopping process activities. Findings from this study support the previous work placeliterature that notes similarities between the segments. In thisstudy, age (i.e., generational segments) was not a significantfactor in explaining selection activities (i.e., try on and waittime). This finding refutes previous studies that proclaim thedifferences between the Baby Boomers and the Echo Boomersand provides support for the similarities, not differences,between the two generational segments. With the similaritiesbetween generational segments being identified, the differencesfound with other variables are further discussed. The shopping orientation variable provided more informationin explaining consumers’ selection activities than thegenerational segments. Regardless of age (i.e., generationalsegment), both Echo Boomers and Baby Boomers in thisstudy, who scored high on the fashionista shopping orientationfactor, placed less importance on try-on activities and wereless willing to wait for products. The try-on activities variable was also explained by theexperiential shopping orientation in comparison to its lack ofdifferentiation with the generational segments variable. Consumers, regardless of age, who rated experiential activitiesas more important when shopping were the consumers whowanted to try on the products. Denim was the one product category variable, in theconceptual model, that explained try-on and wait timeactivities. Consumers who placed more importance on denim,specifically the fit, color and styling of blue jeans, were theconsumers who were more willing to wait for products to bedelivered. This research has a number of implications for practitionersand for academicians. Previous research studies in severalfields have noted that consumers may react differently tovarious situations according to their generational segment (i.e.,age grouping). However, the findings in this research showedthat other variables from the model in instead of thegenerational segment were more significant in explainingselection activities of consumers. Because of this finding,academic researchers may want to include multiple variableswhen examining or comparing generational segments. Inaddition, marketers and retailers may wish to considerremoving the age factor in their presentations and promotionsof some apparel products. In this study, these femaleconsumers were more driven by their shopping orientationswhen selecting products than by their age. In another example of practical application of the findings, retailers who designdressing rooms and have sales staff assist customers shouldrealize that all consumers who are interested in shopping mayhave varying opinions on trying on products and on how longthey will wait for a product. Retailers should not assume thatthe younger consumer will not want to try on products or thatan older consumer will want to take the time to try on aproduct.

Abstract

Understanding consumers by examining their characteristicswithin segments is a key activity for business success. Manyapparel businesses use this strategic tool for focusing theirpromotions efforts and their assortment selections on a groupor segment of consumers. For practitioners and academicians,two of the largest and most intriguing consumer segments inthe 2000s are Baby Boomers and Echo Boomers (i.e., GenYs). The Echo Boomers are the children of the Baby Boomersor the second generation of consumers following the generationof the Baby Boomers. These generational segments representtwo of the most affluent consumer groups in the market place. Many retailers and academic researchers are interested inthese segments, and although each segment has received somereview, limited academic research has examined their apparelshopping behavior. Studies tend to be focused on onegeneration but not on the comparison of the two generationsand their similar or different shopping activities. The purpose of this study was to examine the influences ofgenerational consumer segments, shopping orientation, andspecific product categories on the shopping process variables. Data collection resulted in 355 usable responses from EchoBoomers (ages 18-24) and 180 responses from Baby Boomers(ages 46-59). The respondents, for both generations, includedthree-fourths female and one-fourth male consumers. Theprimary occupation for Baby Boomers was listed asprofessionals (53%), while the second most commonoccupation was listed as homemaker (16%). More than 98% ofthe Echo Boomers were full time students. Exploratory factor analysis resulted in two shoppingorientation variables (i.e., fashionista and experiential). Multipleregression analyses showed that these two orientation factorssignificantly explained both segments’ shopping processactivities (i.e., wait time and try on). In contrast, thegenerational segment variable showed no significant differences for the shopping process activities. Findings from this study support the previous work placeliterature that notes similarities between the segments. In thisstudy, age (i.e., generational segments) was not a significantfactor in explaining selection activities (i.e., try on and waittime). This finding refutes previous studies that proclaim thedifferences between the Baby Boomers and the Echo Boomersand provides support for the similarities, not differences,between the two generational segments. With the similaritiesbetween generational segments being identified, the differencesfound with other variables are further discussed. The shopping orientation variable provided more informationin explaining consumers’ selection activities than thegenerational segments. Regardless of age (i.e., generationalsegment), both Echo Boomers and Baby Boomers in thisstudy, who scored high on the fashionista shopping orientationfactor, placed less importance on try-on activities and wereless willing to wait for products. The try-on activities variable was also explained by theexperiential shopping orientation in comparison to its lack ofdifferentiation with the generational segments variable. Consumers, regardless of age, who rated experiential activitiesas more important when shopping were the consumers whowanted to try on the products. Denim was the one product category variable, in theconceptual model, that explained try-on and wait timeactivities. Consumers who placed more importance on denim,specifically the fit, color and styling of blue jeans, were theconsumers who were more willing to wait for products to bedelivered. This research has a number of implications for practitionersand for academicians. Previous research studies in severalfields have noted that consumers may react differently tovarious situations according to their generational segment (i.e.,age grouping). However, the findings in this research showedthat other variables from the model in instead of thegenerational segment were more significant in explainingselection activities of consumers. Because of this finding,academic researchers may want to include multiple variableswhen examining or comparing generational segments. Inaddition, marketers and retailers may wish to considerremoving the age factor in their presentations and promotionsof some apparel products. In this study, these femaleconsumers were more driven by their shopping orientationswhen selecting products than by their age. In another example of practical application of the findings, retailers who designdressing rooms and have sales staff assist customers shouldrealize that all consumers who are interested in shopping mayhave varying opinions on trying on products and on how longthey will wait for a product. Retailers should not assume thatthe younger consumer will not want to try on products or thatan older consumer will want to take the time to try on aproduct.

참고문헌 (44)

  1. "The boomer balancing act" (2007)[URL]
  2. Anderson-Connell, L. J., "A consumer-driven model for mass customization in the apparel market", Journal of Fashion Marketing and Management, 6(3), pp.240~258 (2002)
  3. Balasubramanian, S., "Consumers in a multichannel environment : Product utility, process utility, and channel choice", Journal of Interactive Marketing, 19(2), pp.12~25 (2005)
  4. Bakewell, C., "Generation Y female consumer decision-making styles", International Journal of Retail & Distribution Management, 31(2), pp.95~106 (2003)
  5. "The relentless rise of power jeans" (2009)[URL]
  6. Cohen, M., "Retail revolution 2010 – Findings from NPD Group, Inc. Presentation for Executive-in-Residence Program" (2007), North Carolina State University
  7. Cennamo, L., "Generational differences in work values, outcomes and person-organisation values fit", Journal of Managerial Psychology, 23(8), pp.891~906 (2008)
  8. Cho, H., "Acceptance of online customization for apparel shopping", International Journal of Retail and Distribution Management, 37(5), pp.389~407 (2009)
  9. Creswell, J. W., "Research Design : Qualitative & Quantitative Approaches" (1994), Sage
  10. De Klerk, H. M., "The early-adolescent female clothing consumer : Expectations, evaluation and satisfaction with fit as part of the appreciations of clothing quality", Journal of Fashion Marketing and Management, 11(3), pp.413~428 (2007)
  11. Eckman, M., "Toward a model of the in-store purchase decision process : Consumer use of criteria for evaluating women’s apparel", Clothing and Textiles Research Journal, 8(2), pp.13~22 (1990)
  12. Endo, S., "The developing direct relationship between a manufacturer and consumers : Four models of interaction", Journal of Fashion Marketing and Management, 9(3), pp.270~282 (2005)
  13. Fadiga, M. L., "U. S. consumer purchasing decisions and demand for apparel", Journal of Fashion Marketing and Management, 9(4), pp.367~379 (2005)
  14. George, L., "The perfect pair of 21st-century mom jeans", Mclean’s, 116(6), pp.57~ (2006)
  15. Glass, A., "Understanding generational differences for competitive success", Industrial and Commercial Training, 39(2), pp.98~103 (2007)
  16. Hair, J. F., "Multivariate Data Analysis" (1998), Prentice Hall
  17. Im, S., "An empirical study of innate consumer innovativeness, personal characteristics, and new-product adoption behavior", Journal of the Academy of Marketing Science, 31(1), pp.61~74 (2003)
  18. Jarrett, D. G., "A shopper taxonomy for retail strategy development", International Review of Retail Distribution and Consumer Research, 6(2), pp.196~215 (1996)
  19. Keene, C., "E-tailers versus retailers : Which factors determine consumer preferences", Journal of Business Research, 57, pp.685~695 (2004)
  20. Kincade, D. H., "Sewn Product Analysis", pp.2008, Pearson
  21. Kincade, D. H., "Shopping for apparel products-Wait-time and mass customization", International Textile and Apparel Association Proceedings, pp.62~ (2005)
  22. Kincade, D. H., "Merchandising of Fashion Products", pp.2010, Pearson
  23. Kincade, D. H., "Comparison of baby boomers and echo boomers on importance of shopping attributes", International Textile and Apparel Association Proceedings, pp.65~ (2008)
  24. Konus, U., "Multichannel shopper segments and their covariates", Journal of Retailing, 84(4), pp.398~413 (2008)
  25. Littrell, M. A., "Generation X, baby boomers, and swing : Marketing fair trade apparel", Journal of Fashion Marketing and Management, 9(4), pp.407~419 (2005)
  26. Malhotra, N. K., "Marketing Research : An Applied Orientation" (2009), Prentice Hall
  27. McKinney, L. N., "Creating a satisfying Internet shopping experience via atmospheric variables", International Journal of Consumer Studies, 28(3), pp.268~283 (2004)
  28. Misonzhnik, E., "Back to the future", Retail Traffic, 36(11), pp.58~66 (2007)
  29. Moore, M., "Intergenerational perceptions of market cues among U. S. apparel consumers", Journal of Fashion Marketing and Management, 12(3), pp.323~337 (2008)
  30. Norum, P. S., "Examination of generational differences in household apparel expenditures", Family and Consumer Sciences Research Journal, 32(1), pp.52~75 (2003)
  31. O’Loughlin, D., "External and internal accountability of financial services suppliers : Current paradoxes in managing expectations and experiences", Journal of Strategic Marketing, 13, pp.133~147 (2005)
  32. Pisut, G., "Fit preferences of female consumers in the USA", Journal of Fashion Marketing and Management, 11(3), pp.366~379 (2007)
  33. Shim, S., "A typology of apparel shopping orientation segments among female consumers", Clothing and Textiles Research Journal, 12(1), pp.73~85 (1993)
  34. Soopramanien, D. G. R., "Adoption and usage of online shopping : An empirical analysis of the characteristics of"buyers", "browsers"and"non-internet shoppers"", Journal of Retailing and Consumer Services, 14, pp.73~82 (2007)
  35. Strauss, W., "Generations: The History of America’s Future" (1991), William Morrow Publishers
  36. Titus, P., "The consumer retail search process : A conceptual model and research agenda", Journal of the Academy of Marketing Science, 23(2), pp.106~119 (1995)
  37. Tyre, P., "Jeans rising; Hark! Then end of the ultra-low rise era nears", Newsweek, 52~ (2006)
  38. "Who’s holding the handbag?" (2008)[URL]
  39. Venkatesan, R., "Multichannel shopping : Causes and consequences", Journal of Marketing, 71, pp.114~132 (2007)
  40. Wesner, M. S., "Boomers and millennials have much in common", Organization Development Journal, 26(3), pp.89~96 (2008)
  41. Wilson, M., "The new retail", Chain Store Age, 85(11), pp.28~ (2009)
  42. Zelin, A., "Cluster sampling: A false economy?", International Journal of Market Research, 47(5), pp.503~510 (2005)

관련 논문AI추천

이 간행물의 다른 논문 (6건)