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Assessing Buyer’s Energy Consumed in the Purchase Process

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Advanced Research in Technologies, Information, Innovation and Sustainability (ARTIIS 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1485))

Abstract

Buyers within the process of purchases require new system approaches to assess their fatigue for in-store service improvement. The buyer’s fatigue can be assessed by examining energy consumed during the purchase process. The neuromarketing concept is an innovative direction which can boost the effectiveness of end-consumers feedback for retailer. The research is geared toward assessing the impact of the surrounding of the method of purchases on buyer fatigue at urban retailers. The set of recommendations for reducing the fatigue of buyers, improving the in-store service and comparison of different store surrounding via energy consumed was presented. The result can improve the standard of in-store services by decreasing average fatigue level (energy consumed) during purchase.

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References

  1. Ainsworth, B.E., et al.: 2011 Compendium of physical activities: a second update of codes and MET values. Med. Sci. Sports Exerc. 43(8), 1575–1581 (2011)

    Article  Google Scholar 

  2. Ainsworth, B., Haskell, W., Herrmann, S., Meckes, N., Bassett, D.R., Tudor-Locke, C.: The compendium of physical activities tracking guide. 2011. Beschikbaar via: http://prevention.sph.sc.edu/tools/docs/documents_compendium.pdf. Geraadpleegd (2013)

  3. Baevskii, R.M.: Analysis of heart rate variability in space medicine. Hum. Physiol. 28(2), 202–213 (2002)

    Article  Google Scholar 

  4. Birkin, M., Clarke, G., Clarke, M.: Retail Location Planning in an Era of Multi-Channel Growth. Routledge (2017)

    Book  Google Scholar 

  5. Blaydes, L., Kayser, M.A.: Counting calories: democracy and distribution in the developing world. Int. Stud. Quart. 55(4), 887–908 (2011)

    Article  Google Scholar 

  6. Cooper, M.C., Lambert, D.M., Pagh, J.D.: Supply chain management: more than a new name for logistics. Int. J. Logist. Manag. 8(1), 1–14 (1997)

    Article  Google Scholar 

  7. Dąbrowska, A.: Consumer behaviour in the market of catering services in selected countries of Central-Eastern Europe. Br. Food J. 113(1), 96–108 (2011)

    Article  Google Scholar 

  8. Dev, C.S., Schultz, D.E.: A customer-focused approach can bring the current marketing mix into the 21st century. Mark. Manag. 14(1), 18–24 (2005)

    Google Scholar 

  9. Drewnowski, A., Darmon, N.: The economics of obesity: dietary energy density and energy cost. Am. J. Clin. Nutr. 82(1), 265S-273S (2005)

    Article  Google Scholar 

  10. Engel, J.F., Blackwell, R.D., Miniard, P.W.: Consumer Behavior, 8th edn. Dryder, New York (1995)

    Google Scholar 

  11. Galkin, A., Dolia, C., Davidich, N.: The role of consumers in logistics systems. Transp. Res. Procedia 27, 1187–1194 (2017)

    Article  Google Scholar 

  12. Galkin, A., Prasolenko, O., Chebanyuk, K., Balandina, I., Atynian, A., Obolentseva, L.: The neuromarketing ICT technique for assessing buyer emotional fatigue. In: ICTERI, pp. 243–253 (2018)

    Google Scholar 

  13. Galkin, A., Obolentseva, L., Balandina, I., Kush, E., Karpenko, V., Bajdor, P.: Last-mile delivery for consumer driven logistics. Transp. Res. Procedia 39, 74–83 (2019)

    Article  Google Scholar 

  14. Galkin, A., et al.: Assessing the impact of population mobility on consumer expenditures while shopping. Transp. Res. Procedia 48, 2187–2196 (2020)

    Article  Google Scholar 

  15. Gašová, M., Gašo, M., Štefánik, A.: Advanced industrial tools of ergonomics based on industry 4.0 concept. Procedia Eng. 192, 219–224 (2017)

    Article  Google Scholar 

  16. Ghobadian, A.: Service quality: concepts and models. Int. J. Qual. Reliab. Manag. 11(9), 43–66 (1994)

    Article  Google Scholar 

  17. Grönroos, C.: A service quality model and its marketing implications. Eur. J. Mark. 18(4), 36–44 (1984)

    Article  Google Scholar 

  18. Halkin, A.: Emotional state of consumer in the urban purchase: processing data. Found. Manag. 10(1), 99–112 (2018)

    Article  Google Scholar 

  19. Halkin, A., Bliumska-Danko, K., Smihunova, O., Dudnyk, E., Balandina, I.: Investigation influence of store type on emotional state of consumer in the urban purchase. Found. Manag. 11(1), 7–22 (2019)

    Article  Google Scholar 

  20. Halkin, A.: Assessing the utility of retailer based on generalized costs of end-consumers. Found. Manag. 12(1), 31–42 (2020)

    Article  Google Scholar 

  21. Hernandez, T., Biasiotto, M.: Retail location decision-making and store portfolio management. Can. J. Reg. Sci. 24(3), 399–421 (2001)

    Google Scholar 

  22. Ibrahim, M.F., McGoldrick, P.J.: Shopping Choices with Public Transport Options: An Agenda for the 21st Century. Routledge (2017)

    Book  Google Scholar 

  23. Keytel, L.R., et al.: Prediction of energy expenditure from heart rate monitoring during submaximal exercise. J. Sports Sci. 23(3), 289–297 (2005)

    Article  Google Scholar 

  24. Kidwell, B., Hardesty, D.M., Childers, T.L.: Consumer emotional intelligence: conceptualization, measurement, and the prediction of consumer decision making. J. Consum. Res. 35(1), 154–166 (2008)

    Article  Google Scholar 

  25. Kotler, P., Dubois, B.: Marketing Management. 13e Editions, Paris (2009)

    Google Scholar 

  26. Lemon, K.N., Verhoef, P.C.: Understanding customer experience throughout the customer journey. J. Mark. 80(6), 69–96 (2016)

    Article  Google Scholar 

  27. Lincoln, J.E.: Calorie intake, obesity, and physical activity. Am. J. Clin. Nutr. 25(4), 390–394 (1972)

    Article  Google Scholar 

  28. Lyubchak, V., Lavrov, E., Pasko, N.: Ergonomic support of man-machine interaction: approach to designing of operators’ group activities (<special issue> variational inequality and combinatorial problems). Int. J. Biomed. Soft Comput. Hum. Sci.: Off. J. Biomed. Fuzzy Syst. Assoc., 17(2), 53–58 (2012)

    Google Scholar 

  29. Mallik, S.: Customer service in supply chain management. In: H. Bidgoil (ed.), The Handbook of Technology Management: Supply Chain Management, Marketing and Advertising, and Global Management, vol 2 (1st ed.), p. 104. John Wiley & Sons, Hoboken, New Jersey, ISBN 978-0-470-24948-2 (2010)

    Google Scholar 

  30. Makarova, I., Khabibullin, R., Belyaev, E., Mavrin, V., Verkin, E.: Creating a safe working environment via analyzing the ergonomic parameters of workplaces on an assembly conveyor. In: 2015 International Conference on Industrial Engineering and Systems Management (IESM), pp. 947–954. IEEE (2015 October)

    Google Scholar 

  31. Makarova, I., Shubenkova, K., Pashkevich, A.: Development of an intelligent human resource management system in the era of digitalization and talentism. In: 2018 18th International Conference on Mechatronics-Mechatronika (ME), pp. 1–6. IEEE (2018, December)

    Google Scholar 

  32. Monsivais, P., Drewnowski, A.: The rising cost of low-energy-density foods. J. Am. Diet. Assoc. 107(12), 2071–2076 (2007)

    Article  Google Scholar 

  33. Nakaya, T., Fotheringham, A.S., Hanaoka, K., Clarke, G., Ballas, D., Yano, K.: Combining microsimulation and spatial interaction models for retail location analysis. J. Geogr. Syst. 9(4), 345–369 (2007)

    Article  Google Scholar 

  34. Oruc, N., Tihi, B.: Competitive location assessment – the MCI approach, south east European. J. Econ. Bus. 7(2), 35–49 (2012). https://doi.org/10.2478/v10033-012-0013-7

    Article  Google Scholar 

  35. Popa, V., Duică, M., Gonzalez, A.: Supply chain information alignment in the consumer goods and retail industry: global standards and best practices. Electron. J. Inf. Syst. Eval. 14(1), 134–149 (2011)

    Google Scholar 

  36. Scott, P.: Geography and Retailing, vol. 137. Transaction Publishers (2017)

    Google Scholar 

  37. Solomon, M.R.: Consumer Behavior: Buying, Having, and Being, vol. 10. Prentice Hall, Upper Saddle River, NJ (2014)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Transport System and Logistics, O. M. Beketov National University of Urban Economy in Kharkiv, Kharkiv, Ukraine

    Andrii Galkin & Dmytro Prunenko

  2. Czestochowa University of Technology, Dabrowskiego 69, 42-201, Czestochowa, Poland

    Paula Bajdor

  3. Department of Tourism and Hospitality, O. M. Beketov National University of Urban Economy in Kharkiv, Kharkiv, Ukraine

    Iryna Balandina, Iryna Polchaninova, Iryna Pysareva & Olha Radionova

  4. Faculty of International Economic Relations and Tourism Business, V. N. Karazin Kharkiv National University, Kharkiv, Ukraine

    Mykola Pysarevskyi

  5. O. M. Beketov National University of Urban Economy in Kharkiv, Kharkiv, Ukraine

    Mykola Pysarevskyi

Authors
  1. Andrii Galkin
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  2. Paula Bajdor
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  3. Dmytro Prunenko
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  4. Iryna Balandina
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  5. Iryna Polchaninova
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  6. Mykola Pysarevskyi
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  7. Iryna Pysareva
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  8. Olha Radionova
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Editor information

Editors and Affiliations

  1. Universidad Estatal Península de Santa Elena, La Libertad, Ecuador

    Teresa Guarda

  2. Universidade do Minho, Guimarães, Portugal

    Filipe Portela

  3. Universidade do Minho, Guimarães, Portugal

    Manuel Filipe Santos

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Galkin, A. et al. (2021). Assessing Buyer’s Energy Consumed in the Purchase Process. In: Guarda, T., Portela, F., Santos, M.F. (eds) Advanced Research in Technologies, Information, Innovation and Sustainability. ARTIIS 2021. Communications in Computer and Information Science, vol 1485. Springer, Cham. https://doi.org/10.1007/978-3-030-90241-4_52

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  • DOI: https://doi.org/10.1007/978-3-030-90241-4_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90240-7

  • Online ISBN: 978-3-030-90241-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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