Have a personal or library account? Click to login
Investigation Influence of Store Type on Emotional State of Consumer in the Urban Purchase Cover

Investigation Influence of Store Type on Emotional State of Consumer in the Urban Purchase

Foundations of Management
Volume 11 (2019): Issue 1 (January 2019)
By: Andrii Halkin,  Kseniia Bliumska-Danko,  Olena Smihunova,  Elena Dudnyk and  Iryna Balandina  
Open Access
|Mar 2019

References

  1. [1] Adolphs, R., 2002. Neural Systems for Recognizing Emotion. Current Opinion in Neurobiology, 12(2), pp.169-177.10.1016/S0959-4388(02)00301-X
    Search in Google ScholarBack to article
  2. [2] Afanasieva, I., Galkin, A., 2018. Assessing the Information Flows and Established their Effects on the Results of Driver’s Activity. Archives of Transport, 45(1), pp.7-23.10.5604/01.3001.0012.0938
    Search in Google ScholarBack to article
  3. [3] Agarwal, S., Dutta, T., 2015. Neuromarketing and Consumer Neuroscience: Current Under-standing and the Way Forward. Decision 42 (4), pp.457-462. DOI:10.1007/s40622-015-0113-1.10.1007/s40622-015-0113-1
    Search in Google ScholarBack to article
  4. [4] Ambler, T., Braeutigam, S., Stins, J., Rose, S., Swithenby, S., 2004. Salience and Choice: Neural Correlates of Shopping Decisions. Psychology & Marketing, 21(4), p.247-261.10.1002/mar.20004
    Search in Google ScholarBack to article
  5. [5] Andreassi, J., 2007. Psychophysiology: Human Behavior And Physiological Response. In Psychophysiology: Human Behaviour & Physiology Response, Lawrence Erlbaum.
    Search in Google ScholarBack to article
  6. [6] Areni, C. S., Kim, D., 1993. The Influence of Background Music on Shopping Behavior: Classical Versus Top-Forty Music in a Wine Store. ACR North American Advances.
    Search in Google ScholarBack to article
  7. [7] Babin, B. J., Hardesty, D. M., Suter, T.A., 2003. Color and Shopping Intentions: The Intervening Effect of Price Fairness and Perceived Affect. Journal of Business Research, 56(7), pp.541-551.10.1016/S0148-2963(01)00246-6
    Search in Google ScholarBack to article
  8. [8] Baevsky R.M., 1984. Mathematical Analysis of Changes in Heart Rate During Stress. Moscow: Nauka.
    Search in Google ScholarBack to article
  9. [9] Baevsky, R.M., Ivanov, G.G., Chirejkin L.V., etc., 2001. Analysis of Heart Rate Variability with use Various Electrocar Diographical Systems (Methodical Recommendations). The Bulletin of Arrhythmology, 24, pp.65-85.
    Search in Google ScholarBack to article
  10. [10] Bakker, J., Pechenizkiy, M., Sidorova, N., 2011. What's Your Current Stress Level? Detection of Stress Patterns from GSR Sensor Data. In 2011 IEEE 11th International Conference on Data Mining Workshops, pp.573-580, IEEE.10.1109/ICDMW.2011.178
    Search in Google ScholarBack to article
  11. [11] Bellizzi, J. A., Hite, R. E., 1992. Environmental Color, Consumer Feelings, and Purchase Likeli-hood. Psychology & Marketing, 9(5), pp.347-363.10.1002/mar.4220090502
    Search in Google ScholarBack to article
  12. [12] Bhatt, G., 2017. Effect of Store Atmospherics in Creating Brand Loyalty an Empirical Investigation in Single Brand Retail Context.
    Search in Google ScholarBack to article
  13. [13] Blackwell, R.D., Miniard P.W., Engel, J.F., 2006. Consumer Behavior (10th ed.). Thomson Learning.
    Search in Google ScholarBack to article
  14. [14] Boucsein, Wolfram, 2012. Electrodermal Activity. Springer Science & Business Media.10.1007/978-1-4614-1126-0
    Search in Google ScholarBack to article
  15. [15] Chang, H.J., Eckman, M., Yan, R.N., 2011. Application of the Stimulus-Organism-Response Model to the Retail Environment: the Role of Hedonic Motivation in Impulse Buying Behavior. The International Review of Retail, Distribution and Consumer Research, 21(3), pp.233-249, DOI: 10.1080/09593969.2011.578798.10.1080/09593969.2011.578798
    Search in Google ScholarBack to article
  16. [16] Charlton S.G., 2002. Handbook of Human Factors Testing and Evaluation, 2nd. Ed – Mahwah: LEA.
    Search in Google ScholarBack to article
  17. [17] Chebat, J.C., Dube, L., Marquis, M., 1997. Individual Differences in Orcadian Variations of Consumers' Emotional State. Perceptual and Motor Skills, 84(3), pp.1075-1086.10.2466/pms.1997.84.3.10759172225
    Search in Google ScholarBack to article
  18. [18] Chebykin, O.Y., Bedny, G., Karwowski, W. (Eds.)., 2008. Ergonomics and Psychology: Developments in Theory and Practice (Vol. 1). CRC Press.10.1201/9781420067019
    Search in Google ScholarBack to article
  19. [19] Crosby, L.A., Evans, K.R., Cowles, D., 1990. Relationship Quality in Services Selling: an Interpersonal Influence Perspective. The Journal of Marketing, pp.68-81.10.1177/002224299005400306
    Search in Google ScholarBack to article
  20. [20] Cummings, W.H., Venkatesan, M., 1976. Cognitive dissonance and consumer behavior: A Review of the Evidence. Journal of Marketing Research, pp.303-308.10.1177/002224377601300313
    Search in Google ScholarBack to article
  21. [21] De Mooij, M., Hofstede, G., 2011. Cross-Cultural Consumer Behavior: A Review of Research Findings. Journal of International Consumer Marketing, 23(3–4), pp.181-192.
    Search in Google ScholarBack to article
  22. [22] Dennis, C., Newman, A., Michon, R., Brakus, J.J., Wright, L.T., 2010. The Mediating Effects of Perception and Emotion: Digital Signage in Mall Atmospherics. Journal of Retailing and Consumer services, 17(3), pp.205-215.10.1016/j.jretconser.2010.03.009
    Search in Google ScholarBack to article
  23. [23] Etzion, H., Pang, M.S., 2014. Complementary Online Services in Competitive Markets: Maintaining Profitability in the Presence of Network Effects. MIS Quarterly, 38(1), pp. 231-247, DOI: 10.25300/MISQ/2014/38.1.11.10.25300/MISQ/2014/38.1.11
    Search in Google ScholarBack to article
  24. [24] Feuerstein, R., Klein, P.S., Tannenbaum, A.J. (eds.), 1991. Mediated Learning Experience (MLE): Theoretical, Psychosocial and Learning Implications. Freund Publishing House Ltd.
    Search in Google ScholarBack to article
  25. [25] Frenkel, A., 1966. Multivariate Correlation Model of Labor Productivity. Moscow: Economics.
    Search in Google ScholarBack to article
  26. [26] Galkin, A., Prasolenko, O., Obolentseva, L., Atynian, A., Balandina, I., Chebanyuk, K., 2018. The Neuromarketing ICT Technique for Assessing Buyer Emotional Fatigue. CEUR Work-shop Proceedings, 2105, pp. 243-253, Access at: http://ceur-ws.org/Vol-2105/10000243.pdf .
    Search in Google ScholarBack to article
  27. [27] Ghobadian, A., Speller, S., Jones, M., 1994. Service Quality: Concepts and Models. International Journal of Quality & Reliability Management, 11(9), pp.43-66.10.1108/02656719410074297
    Search in Google ScholarBack to article
  28. [28] Glanert, M., 2012. Behavioral Targeting Pros and Cons - Behavioral Targeting Blog. Behavioral Targeting. Retrieved 31 March 2016, Access at: http://behavioraltargeting.biz/behavioral-targeting-pros-and-cons/.
    Search in Google ScholarBack to article
  29. [29] Grewal, D., Levy, M., Kumar, V., 2009. Customer Experience Management in Retailing: An Organizing Framework. Journal of Retailing, 85(1), pp.1-14.10.1016/j.jretai.2009.01.001
    Search in Google ScholarBack to article
  30. [30] Halkin, A., 2016. Improving of Quality of Trade Service Through Examination of Consumer's Emotional State. Industrial and Systems Engineering, 1(2), pp.54-60.
    Search in Google ScholarBack to article
  31. [31] Halkin, A., 2018. Emotional State of Consumer in the Urban Purchase: Processing Data. Foundations of Management, 10(1), pp.99-112.10.2478/fman-2018-0009
    Search in Google ScholarBack to article
  32. [32] Hamstra, M., 2012. Study Shows Shopper Behavior. Supermarket News. January 30. Available at: http://supermarketnews.com/consumer-trends/study-shows-shopper-behavior [Accessed: 17 Feb 2015].
    Search in Google ScholarBack to article
  33. [33] Jain, R., Bagdare, S., 2011. Music and Consumption Experience: a Review. International Journal of Retail & Distribution Management, 39(4), pp.289-302.10.1108/09590551111117554
    Search in Google ScholarBack to article
  34. [34] Jerritta, S., Murugappan, M., Nagarajan, R., Wan, K., 2011, March. Physiological Signals Based Human Emotion Recognition: a Review. In Signal Processing and its Applications (CSPA), 2011 IEEE 7th International Colloqui-um, pp.410-415. IEEE.10.1109/CSPA.2011.5759912
    Search in Google ScholarBack to article
  35. [35] Jun, M., Yang, Z., Kim, D., 2004. Customers' Perceptions of Online Retailing Service Quality and their Satisfaction. International Journal of Quality & Reliability Management, 21(8), pp.817-840.10.1108/02656710410551728
    Search in Google ScholarBack to article
  36. [36] Kim, J., Bouchard, C., Bianchi-Berthouze, N., Aoussat, A., 2011. Measuring Semantic and Emotional Responses to Bio-Inspired Design. In Design Creativity 2010, pp.131-138. Springer, London.10.1007/978-0-85729-224-7_18
    Search in Google ScholarBack to article
  37. [37] Kotler, P., 1973. Atmospherics as a Marketing Tool. Journal of Retailing, 49(4), pp.48-64.
    Search in Google ScholarBack to article
  38. [38] Kotler, P., Armstrong, G., 2010. Principles of Marketing. Pearson Education.
    Search in Google ScholarBack to article
  39. [39] Kotler, Ph., Keller, L.K., 2012. Marketing Management 14th eds, Pearson Education Limited.
    Search in Google ScholarBack to article
  40. [40] Krey, N., Espinosa, J.A., Cao, J.T., 2017, June. A Meta-Analytical Review of PAD Within Retail Environments: An Abstract. In Academy of Marketing Science World Marketing Congress, pp.175-175. Springer, Cham.10.1007/978-3-319-68750-6_55
    Search in Google ScholarBack to article
  41. [41] Kumar, I., Garg, R., Rahman, Z., 2010. Influence of Retail Atmospherics on Customer Value in an Emerging Market Condition. Great Lakes Herald, 4(1), pp.1-13.
    Search in Google ScholarBack to article
  42. [42] Levy, M., Weitz, B.A., Grewal, D., 2012. Retailing Management (Vol. 6). New York: McGraw-Hill/Irwin.
    Search in Google ScholarBack to article
  43. [43] Lissovolik, M.B., 2003. Determinants of Inflation in a Transition Economy: The Case of Ukraine (No. 3-126). International Monetary Fund.10.5089/9781451854923.001
    Search in Google ScholarBack to article
  44. [44] Lovelock, C., Patterson, P., 2015. Services Marketing. Pearson Australia.
    Search in Google ScholarBack to article
  45. [45] Lykken, D.T., Venables, P.H., 1971. Direct Measurement of Skin Conductance: A Proposal for Standardization. Psychophysiology, No. 8, pp.656-672.10.1111/j.1469-8986.1971.tb00501.x5116830
    Search in Google ScholarBack to article
  46. [46] McGoldrick, P.J., Pieros, C.P., 1998. Atmospherics, Pleasure and Arousal: The Influence of Response Moderators. Journal of Marketing Management, 14(1–3), pp. 173-197.10.1362/026725798784959372
    Search in Google ScholarBack to article
  47. [47] Minton, E.A, Khale, L.R., 2014. Belief Systems, Religion, and Behavioral Economics. New York: Business Expert Press LLC.
    Search in Google ScholarBack to article
  48. [48] Morrison, M., Gan, S., Dubelaar, C., Oppewal, H., 2011. In-store Music and Aroma Influences on Shopper Behavior and Satisfaction. Journal of Business Research, 64(6), pp.558-564.10.1016/j.jbusres.2010.06.006
    Search in Google ScholarBack to article
  49. [49] Mower, J. M., Kim, M., Childs, M. L., 2012. Exterior Atmospherics and Consumer Behavior: Influence of Landscaping and Window Display. Journal of Fashion Marketing and Management: An International Journal, 16(4), pp.442-453.10.1108/13612021211265836
    Search in Google ScholarBack to article
  50. [50] Piaget, J., 2017. The child's Conception of Physical Causality. Routledge.10.4324/9781351305082
    Search in Google ScholarBack to article
  51. [51] Plassmann, H, Ambler, T, Braeutigam S, Kenning, P., 2007. What can Advertisers Learn from Neuroscience? International Journal of Advertising, 26(2), pp.151-175.10.1080/10803548.2007.11073005
    Search in Google ScholarBack to article
  52. [52] Prasolenko, O., Galkin, A., Burko, D., 2017. Galvanic Skin Response as a Estimation Method of the Driver's Emotional State. American Journal of Science, Engineering and Technology Vol. 2 (1), pp.50-56.
    Search in Google ScholarBack to article
  53. [53] Puccinelli, N. M., Goodstein, R. C., Grewal, D., Price, R., Raghubir, P., Stewart, D., 2009. Customer Experience Management in Retailing: Understanding the Buying Process. Journal of retailing, 85(1), pp.15-30.10.1016/j.jretai.2008.11.003
    Search in Google ScholarBack to article
  54. [54] Richins, L. M., 1997. Measuring Emotions in the Consumption Experience. Journal of Consumer Research, Vol. 24, No. 2, pp.127-146.10.1086/209499
    Search in Google ScholarBack to article
  55. [55] Rigas, G., Katsis C. D., Bougia P., Fotiadis, D. I., 2008. A Reasoning-Based Framework for Car Driver’s Stress Prediction, 16th Mediterranean Conference on Control and Automation, pp.627-632, 25–27 June 2008.10.1109/MED.2008.4602162
    Search in Google ScholarBack to article
  56. [56] Woodworth, R.S., Schlosberg, H., 1954. Experimental Psychology. Oxford and IBH Publishing.
    Search in Google ScholarBack to article
DOI: https://doi.org/10.2478/fman-2019-0001 | Journal eISSN: 2300-5661 | Journal ISSN: 2080-7279
Journal RSS Feed
Language: English
Page range: 7 - 22
Published on: Mar 26, 2019
Published by: Warsaw University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
customer,
emotion,
state,
purchase,
GSR
Related subjects:
Computer sciences,
Business computing,
Business and economics,
Business management,
Management accounting, financial controlling, cost calculation, investment

© 2019 Andrii Halkin, Kseniia Bliumska-Danko, Olena Smihunova, Elena Dudnyk, Iryna Balandina, published by Warsaw University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 11 (2019): Issue 1 (January 2019)Next article