Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Attitude of Generations : Does It Matter Online ?


Affiliations
1 Assistant Professor, Department of Commerce, CHRIST (Deemed to be University), Bengaluru - 560 029, Karnataka, India
2 Professor, Department of Management Studies, CHRIST (Deemed to be University), Bengaluru - 560 029, Karnataka, India
     

   Subscribe/Renew Journal


Generational examinations are turning out to be necessary with the characteristics they exhibit. This research work aimed at establishing the interceding relationship of disposition of three distinctive generations - Generation X, Generation Y, and Generation Z. In complete, 1200 responses were acquired from both male and female respondents of each generational class dependent on online purchase data collected by employing Google Forms. For the investigation, the model utilized the SOR framework. The results indicated that attitude does not play a vital role in the purchase intention of Generation X followed by the partial mediation of attitude for Generation Y and full mediation effect for Generation Z. This steady increment of attitudinal change underpins the examination by setting up proof that every age shifts in their mentality and purchasing conduct. Online retailers must concentrate on showcasing systems and create online visual merchandising cues which outwardly advance and make a feeling of stimulating attitude for generations. The current study also added value to the existing literature by classifying the customer base not merely on age, but also on their technological perspective of distinguishing web atmospheric cues and catering to their needs from a generational outlook. The study also took into account the importance of the organism's role played by attitude in the S-O-R framework. In this manner, the study helps marketers to design methodologies and plan online visual marketing space for better generational reaction and benefit.

Keywords

Web Atmospherics, Generation X, Generation Y, Generation Z, Attitude.
User
Subscription Login to verify subscription
Notifications
Font Size

  • Anand, A., Singh, O., Aggrawal, D., & Singh, J. (2014). An interactive approach to determine optimal launch time of successive generational product. International Journal of Technology Marketing, 9(4), 392–407. https://doi.org/10.1504/IJTMKT.2014.065386
  • Awang, Z. (2015). SEM made simple : A gentle approach to learning structural equation modelling. MPWS Rich Publication.
  • Bagozzi, R. P., & Yi, Y. (2012). Specification, evaluation, and interpretation of structural equation models. Journal of the Academy of Marketing Science,40(1), 8–34 .https://doi.org/10.1007/s11747-011-0278-x
  • Baker, J. (1986). The role of the environment in marketing services : The consumer perspective. In, J. A. Cepeil et al. (eds.), The services challenge : Integrating for competitive advantage (pp. 79–84). AMA.
  • Banerjee, N., Dutta, A., & Dasgupta, T. (2010). A study on customers' attitude towards online shopping - An Indian perspective. Indian Journal of Marketing, 40(11), 36–42. http://www.indianjournalofmarketing.com/index.php/ijom/article/view/ 37374
  • Basu, K. (2007, July 25). India’s demographic dividend. BBC News. http://news.bbc.co.uk/2/hi/south_asia/6911544.stm
  • Beall, G. (2017, November 6). 8 key differences between Gen Z and millennials. The Huffington Post. https://www.huffpost.com/entry/8-key-differences-between_b_12814200
  • Bitner, M.J. (1992). Servicescapes : The impact of physical surroundings on customers and employees. Journal of Marketing, 56(2), 57–71. https://doi.org/10.1177/002224299205600205
  • Chaney, D., Touzani, M., & Ben Slimane, K. (2017). Marketing to the (new) generations : Summary and perspectives. Journal of Strategic Management, 25(3), 179–189. https://doi.org/ 10.1080/0965254X.2017.1291173
  • Charfi, A. A., & Lombardot, E. (2014). Impact of e-atmospheric elements on the perceived value of the online visit. Journal of Applied Business Research (JABR), 31(1), 265–274. https://doi.org/10.19030/jabr.v31i1.9006
  • Delafrooz, N., Paim, L. H., & Khatibi, A. (2011). Understanding consumer's internet purchase intention in Malaysia. African Journal of Business Management, 5(3), 2837–2846. https://doi.org/10.5897/AJBM10.1266
  • Donovan, R. J., Rossiter, J. R., Marcoolyn, G., & Nesdale, A. (1994). Store atmospherics and purchasing behavior. Journal of Retailing, 70(3), 283–294. https://doi.org/10.1016/0022-4359(94)90037-X
  • Dunne, P. M., Lusch, R. F., & Carver, J. R. (2013). Retailing. Cengage Learning. Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2001). Atmospheric qualities of online retailing : A conceptual model and implications. Journal of Business Research, 54(2), 177–184. https://doi.org/10.1016/S0148 2963(99)00087-9
  • Eroglu, S.A., Machleit, K.A., & Davis, L. M. (2003). Empirical testing of a model of online store atmospherics and shopper responses. Psychology & Marketing, 20(2), 139–150. https://doi.org/10.1002/mar.10064
  • Fishbein, M., & Ajzen, I. (1974). Attitudes towards objects as predictors of single and multiple behavioural criteria. Psychological Review, 81(1), 59–74. https://doi.org/10.1037/h0035872
  • Gupta, R., & Jain, K. (2019). The impact of anthropomorphism on purchase intention of smartphones : A study of young Indian consumers. Indian Journal of Marketing, 49(5), 7–20. https://doi.org/10.17010/ijom/2019/v49/i5/144021
  • Ha, Y., Kwon, W. - S., & Lennon, S. J. (2007). Online visual merchandising (VMD) of apparel web sites. Journal of Fashion Marketing and Management, 11(4), 477–493. https://doi.org/10.1108/13612020710824553
  • Hawkins, D.I., & Mothersbaugh, D. L. (2010). Consumer behavior : Building marketing strategy. McGraw-Hill Irwin.
  • Heaney, J. - G. (2007). Generations X and Y's internet banking usage in Australia. Journal of Financial Services Marketing, 11(3), 196–210. https://doi.org/10.1057/palgrave.fsm.4760052
  • Herbison, G., & Boseman, G. (2009). Here they come–Generation Y. Are you ready ? Journal of Financial Service Professionals, 63(3), 33–34. https://files.eric.ed.gov/fulltext/EJ971235.pdf
  • Hole, D., Zhong, L., & Schwartz, J. (2010). Talking about whose generation. Deloitte Review, 6(1), 83–97.
  • Im, H., & Ha, Y. (2011). The effect of perceptual fluency and enduring involvement on situational involvement in an online apparel shopping context. Journal of Fashion Marketing and Management, 15(3), 345–362. https://doi.org/10.1108/13612021111151932
  • Jayachandran, S., Hewett, K., & Kaufman, P. (2004). Customer response capability in a sense-and-respond era : The role of customer knowledge process. Journal of the Academy of Marketing Science, 32(3), 219–233. https://doi.org/10.1177/0092070304263334
  • Kawaf, F., & Tagg, S. (2012). Online shopping environments in fashion shopping : An S-O-R based review. The Marketing Review, 12(2), 161–180. https://doi.org/10.1362/146934712X13366562572476
  • Kernsom, T., & Sahachaisaeree, N. (2010). Determinant of design elements and compositional settings of window display on the corporate strategic merchandising of large scale department store : A case of central world department store. Procedia - Social and Behavioral Sciences, 5, 1351–1356. https://doi.org/10.1016/j.sbspro.2010.07.286
  • Kotler, P. (1973). Atmospherics as a marketing tool. Journal of Retailing, 49(4), 48–64.
  • Krbova Petra, K. (2016). Generation Y attitudes towards shopping : A comparison of the Czech Republic and Slovakia. Journal of Competitiveness, 8(1), 38–54. https://doi.org/10.7441/joc.2016.01.03
  • 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
  • Kumar, P., & Kanchan. (2019). Purchasing criteria for apparels among Indian consumers. Indian Journal of Marketing, 49(1), 48–60. https://doi.org/ 10.17010/ijom/2019/v49/i1/140606
  • Levy, M., & Weitz, B. A. (2004). Retailing management. McGraw-Hill/Irwin.
  • Manganari, E. E., Siomkos, G. J., & Vrechopoulos, A. P. (2009). Store atmospherics in web retailing. European Journal of Marketing, 43(9/10), 1140–1153. https://doi.org/10.1108/03090560910976401
  • Manganari, E. E., Siomkos, G. J., Rigopoulou, I. D., & Vrechopoulos, A. P. (2011). Virtual store layout effects on consumer behaviour : Applying an environmental psychology approach in the online travel industry. Internet Research, 21(3), 326–346. https://doi.org/10.1108/10662241111139336
  • Mishra, V., & Das, B. (2019). Facilitators of e-tail patronage behavior among generation Z consumers. Indian Journal of Marketing, 49(4), 20–36. https://doi.org/ 10.17010/ijom/2019/v49/i4/142974
  • Ordun, G. (2015). Millennial (Gen Y) consumer behavior their shopping preferences and perceptual maps associated with brand loyalty. Canadian Social Science, 11(4), 40–55. http://52.196.142.242/index.php/css/article/view/6697
  • Osman, S., Yin-Fah, B. C., & Hooi - Choo, B. (2010). Undergraduates and online purchasing behavior. Asian Social Science, 6(10), 133–146.
  • Park, J., Lennon, S. J., & Stoel, L. (2005). On-line product presentation : Effects on mood, perceived risk, and purchase intention. Psychology & Marketing, 22(9), 695–719. https://doi.org/10.1002/mar.20080
  • Peng, C., & Kim, Y. G. (2014). Application of the stimuli-organism- response (S-O-R) framework to online shopping behavior. Journal of Internet Commerce, 13(3–4), 159–176. https://doi.org/10.1080/15332861.2014.944437
  • Prashar, S., Vijay, T. S., & Parsad, C. (2017). Effects of online shopping values and website cues on purchase behaviour : A study using S–O–R framework. Vikalpa : The Journal for Decision Makers, 42(1), 1–18. https://doi.org/10.1177/0256090916686681
  • Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. https://doi.org/ 10.3758/brm.40.3.879
  • Russell, J. A., & Mehrabian, A. (1976). Environmental variables in consumer research. Journal of Consumer Research, 3(1), 62–63. https://doi.org/10.1086/208652
  • Singh, A., Panackal, N., Bommireddipalli, R. T., & Sharma, A. (2016). Understanding youngsters’ buying behavior in e-retail : A conceptual framework. Indian Journal of Marketing, 46(10), 53–62.
  • Thakur, C. (2014). An empirical study of attitude toward cause related marketing programs among young Indian consumers. Indian Journal of Marketing, 44(9), 20–29. https://doi.org/10.17010/ijom/2014/v44/i9/80120
  • Thomas, M.R. (2019). Role of online visual merchandising and personality attributes on purchase intention of customers in the apparel industry (Unpublished Thesis). Bangalore : CHRIST (Deemed to be University). https://doi.org/10.17010/ijom/2018/v48/i12/139553
  • Torocsik, M., Kehl, D., & Szucs, K. (2014). How generations think : Research on Generation Z. Acta Universitatis Sapientiae, Communicatio, 1, 23–45. https://www.ceeol.com/search/article-detail?id=835644
  • Tomar, V. S., Sharma, A., & Pandey, N. (2018). Perceived benefits of online shopping : Scale modification and validation. Indian Journal of Marketing, 48(12), 7–22. https://doi.org/10.17010/ijom/2018/v48/i12/139553
  • Torocsik, M., Kehl, D., & Szucs, K. (2014). How generations think : Research on Generation Z. Acta Universitatis Sapientiae, Communicatio, 1, 23–45. https://www.ceeol.com/search/article-detail?id=835644
  • Turley, L. W., & Milliman, R. E. (2000). Atmospheric effects on shopping behaviour : A review of the experimental evidence. Journal of Business Research, 49(2), 193–211. https://doi.org/10.1016/S0148-2963(99)00010-7
  • Williams, K.C., Page, R.A., Petrosky, A. R., & Hernandez, E. H. (2010). Multi-generational marketing: Descriptions, characteristics, lifestyles, and attitudes. The Journal of Applied Business and Economics, 11(2), 21–35.
  • Woodworth, R. S. (1921). A study of mental life. Henry Holt & Company. https://file.largepdf.com/file/2019/04/08/1385030346.pdf
  • Wu, W. - Y., Lee, C. - L., Fu, C. - S., & Wang, H. - C. (2013). How can online store layout design and atmosphere influence consumer shopping intention on a website ? International Journal of Retail and Distribution Management, 42(1), 4–24. https://doi.org/10.1108/IJRDM-01-2013-0035
  • Yoon, E. (2012). Effects of website environmental cues on consumers’ response and outcome behaviors. Public Access Theses and Dissertations from the College of Education and Human Sciences. 163. https://digitalcommons.unl.edu/cehsdiss/163/
  • Zimmerman, J. (2012). Using the S-O-R model to understand the impact of website attributes on the online shopping experience (Order No.1522458). https://lavasalibrary.remotexs.in/docview/1334932873?accountid=38885

Abstract Views: 405

PDF Views: 1




  • Attitude of Generations : Does It Matter Online ?

Abstract Views: 405  |  PDF Views: 1

Authors

Mary Rani Thomas
Assistant Professor, Department of Commerce, CHRIST (Deemed to be University), Bengaluru - 560 029, Karnataka, India
Jain Mathew
Professor, Department of Management Studies, CHRIST (Deemed to be University), Bengaluru - 560 029, Karnataka, India

Abstract


Generational examinations are turning out to be necessary with the characteristics they exhibit. This research work aimed at establishing the interceding relationship of disposition of three distinctive generations - Generation X, Generation Y, and Generation Z. In complete, 1200 responses were acquired from both male and female respondents of each generational class dependent on online purchase data collected by employing Google Forms. For the investigation, the model utilized the SOR framework. The results indicated that attitude does not play a vital role in the purchase intention of Generation X followed by the partial mediation of attitude for Generation Y and full mediation effect for Generation Z. This steady increment of attitudinal change underpins the examination by setting up proof that every age shifts in their mentality and purchasing conduct. Online retailers must concentrate on showcasing systems and create online visual merchandising cues which outwardly advance and make a feeling of stimulating attitude for generations. The current study also added value to the existing literature by classifying the customer base not merely on age, but also on their technological perspective of distinguishing web atmospheric cues and catering to their needs from a generational outlook. The study also took into account the importance of the organism's role played by attitude in the S-O-R framework. In this manner, the study helps marketers to design methodologies and plan online visual marketing space for better generational reaction and benefit.

Keywords


Web Atmospherics, Generation X, Generation Y, Generation Z, Attitude.

References





DOI: https://doi.org/10.17010/ijom%2F2021%2Fv51%2Fi4%2F158470