Central European Business Review X:X | DOI: 10.18267/j.cebr.392

Users' Attitudes towards Self-Service Technologies (SSTs): The Role of Demographic Factors

Vladimir Zhechev ORCID...1, Gabriela Popova2
1 University of Economics-Varna, Faculty of Management, Department of Marketing, Address: 77 Knyaz Boris I Blvd., Varna, Country: Bulgaria. Email: vladimir.zhechev@ue-varna.bg
2 University of Economics-Varna, Faculty of Management, Department of Marketing, Address: 77, Knyaz Boris I Blvd., Varna, Country: Bulgaria. Email: 118465@students.ue-varna.bg (corresponding author)

In the contemporary business environment, many companies in Central and Eastern Europe (CEE) have adopted self-service technologies (SSTs), moving away from traditional face-to-face interactions. Although numerous studies examine the factors that shape users’ attitudes towards SSTs, the extant literature primarily focuses on the impact of specific individual and technological factors. In addition, a predominant emphasis is placed on SSTs for hotels, restaurants, and retail stores. To bridge these gaps, this research explores the effect of demographic factors on Bulgarian users’ attitudes towards SSTs at filling stations. The methodology employed consists of a review of the existing literature on SST-related attitudes and a quantitative analysis, for which data were collected via a web-based self-administered questionnaire. Results reveal that younger individuals attribute higher convenience to SSTs than persons of greater age. Unexpectedly, advanced age is associated with lower SST anxiety and heightened SST readiness. Additionally, females demonstrate greater SST apprehension and reduced SST readiness compared to males. Notably, education plays a role as well, suggesting that individuals with a Bachelor’s degree exhibit escalated SST anxiety and diminished SST readiness in comparison to those with secondary education. The originality of this paper lies in the fact that it attempts to add substantial new knowledge to understanding the interplay between demographic variables and select individual and technological factors. By virtue of this, the study highlights another important dimension in the process of designing and implementing SSTs – shaping user experiences that cater to demographic differences so that user acceptance can be reinforced.
Implications for Central European audience: From a social perspective, this study offers valuable insights for the development of user-centric self-service solutions. By gaining comprehension of users’ attitudes towards SSTs, technology providers could tailor their offerings to meet diverse user preferences, thus allowing for the enhancement of user experiences and promotion of wider SST acceptance. In an economic context, the research allows filling stations to make informed decisions regarding the integration of such solutions, potentially leading to operational cost reduction and improved service efficiency. This could translate into lower consumer prices/higher profits.

Keywords: attitudes; self-service solutions; self-service technologies

Received: June 11, 2024; Revised: October 31, 2024; Accepted: November 28, 2024; Prepublished online: April 14, 2025 

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References

  1. Allport, G. W. (1935). Attitudes. In C. Murchison (Ed.), Handbook of Social Psychology (pp. 798-844). Clark University Press.
  2. Altmann, T. (2008). Attitude: A Concept Analysis. Nursing Forum, 43(3), 144-150. https://doi.org/10.1111/j.1744-6198.2008.00106.x. Go to original source...
  3. Bitner, M. J., Brown, S. W., & Meuter, M. L. (2000). Technology Infusion in Service Encounters. Journal of the Academy of Marketing Science, 28(1), 138-149. https://doi.org/10.1177/0092070300281013. Go to original source...
  4. Burke, R. (2002). Technology and the Customer Interface: What Consumers Want in the Physical and Virtual Store. Journal of the Academy of Marketing Science, 30(4), 411-432. https://doi.org/10.1177/009207002236914. Go to original source...
  5. Chang, H. H., Fu, C. S., Fang, P. W., & Cheng, Y.-C. (2016). The Effects of Relationship Maintenance and Relationship Investment on Self-Service Technology Relationship Performance. Information Technology and People, 29(3), 496-526. https://doi.org/10.1108/itp-08-2014-0171. Go to original source...
  6. Chawla, D., & Joshi, H. (2017). Consumer Perspectives About Mobile Banking Adoption in India - A Cluster Analysis. International Journal of Bank Marketing, 35(4), 616-636. https://doi.org/10.1108/ijbm-03-2016-0037. Go to original source...
  7. Collier, J., Sherrell, D., Babakus, E., & Horky, A. (2014). Understanding the Differences of Public and Private Self-Service Technology. Journal of Services Marketing, 28(1), 60-70. https://doi.org/10.1108/jsm-04-2012-0071. Go to original source...
  8. Cook, S. W., & Selltiz, C. (1964). A Multiple-Indicator Approach to Attitude Measurement. Psychological Bulletin, 62(1), 36-55. https://doi.org/10.1037/h0040289. Go to original source...
  9. Cunningham, L. F., Young, C. E., & Gerlach, J. H. (2008). Consumer Views of Self-Service Technologies. The Service Industries Journal, 28(6), 719-732. https://doi.org/10.1080/02642060801988522. Go to original source...
  10. Curran, J. M., & Meuter, M. L. (2005). Self-Service Technology Adoption: Comparing Three Technologies. Journal of Services Marketing, 19(2), 103-113. https://doi.org/10.1108/08876040510591411. Go to original source...
  11. Curran, J. M., Meuter, M. L., & Surprenant, C. F. (2003). Intentions to Use Self-Service Technologies: A Confluence of Multiple Attitudes. Journal of Service Research, 5(3), 209-224. https://doi.org/10.1177/1094670502238916. Go to original source...
  12. Dabholkar, P. A. (1994). Technology-Based Service Delivery: A Classification Scheme for Developing Marketing Strategies. Advances in Services Marketing and Management, 3. https://doi.org/10.1016/s1067-5671(94)03012-x. Go to original source...
  13. Dabholkar, P. A. (1996). Consumer Evaluations of New Technology-Based Self-Service Options: An Investigation of Alternative Models of Service Quality. International Journal of Research in Marketing, 13(1), 29-51. https://doi.org/10.1016/0167-8116(95)00027-5. Go to original source...
  14. Dabholkar, P. A., & Bagozzi, R. P. (2002). An Attitudinal Model of Technology-Based Self-Service: Moderating Effects of Consumer Traits and Situational Factors. Journal of the Academy of Marketing Science, 30(3), 184-201. https://doi.org/10.1177/0092070302303001. Go to original source...
  15. Davis, F. (1986). A Technology Acceptance Model for Empirically Testing New End-User Information Systems. Massachusetts Institute of Technology.
  16. Deci, E., & Ryan, R. (1985). Intrinsic Motivation and Self-Determination in Human Behavior. Plenum Press. Go to original source...
  17. Doob, L. W. (1947). The Behavior of Attitudes. Psychological Review, 54(3), 135-156. https://doi.org/10.1037/h0058371. Go to original source...
  18. Fazio, R. H., & Williams, C. J. (1986). Attitude Accessibility as a Moderator of the Attitude-Perception and Attitude-Behavior Relations: An Investigation of the 1984 Presidential Election. Journal of Personality and Social Psychology, 51(3), 505-514. https://doi.org/10.1037/0022-3514.51.3.505. Go to original source...
  19. Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison-Wesley.
  20. Grewal, D., Noble, S. M., & Roggeveen, A. L. (2020). The Future of In-Store Technology. Journal of the Academy of Marketing Science, 48, 96-113. https://doi.org/10.1007/s11747-019-00697-z. Go to original source...
  21. Guttman, L., & Suchman, E. A. (1947). Intensity and a Zero Point for Attitude Analysis. American Sociological Review, 12(1), 57-67. https://doi.org/10.2307/2086491. Go to original source...
  22. Hertzog, C., & Hultsch, D. (2000). Metacognition in Adulthood and Old Age. In F. I. M. Craik & T. A. Salthouse (Eds.), The Handbook of Aging and Cognition (2nd ed., pp. 417-466). Lawrence Erlbaum Associates Publishers.
  23. Hilton, T., & Hughes, T. (2012). Co-Production and Self-Service: The Application of Service-Dominant Logic. Journal of Marketing Management, 29(7-8), 861-881. https://doi.org/10.1080/0267257x.2012.729071. Go to original source...
  24. Ho, S. S., Scheufele, D. A., & Corley, E. A. (2011). Factors Influencing Public Risk-Benefit Considerations of Nanotechnology: Assessing the Effects of Mass Media, Interpersonal Communication, and Elaborative Processing. Public Understanding of Science, 22(5), 606-623. https://doi.org/10.1177/0963662511417936. Go to original source...
  25. Hoyer, W., & MacInnis, D. (1997). Consumer Behavior. Houghton Mifflin.
  26. Kang, Y.-S., & Ridgway, N. M. (2018). The Importance of Consumer Market Interactions as a Form of Social Support for Elderly Consumers. Journal of Public Policy and Marketing, 15(1), 108-117. https://doi.org/10.1177/074391569601500110. Go to original source...
  27. Klier, J., Klier, M., Müller, A.-L., & Rauch, C. (2016). The Impact of Self-Service Technologies - Toward an Economic Decision Model and Its Application at the German Federal Employment Agency. Journal of Decision Systems, 25(2), 151-172. https://doi.org/10.1080/12460125.2016.1141274. Go to original source...
  28. Lee, H.-J., Cho, H. J., Xu, W., & Fairhurst, A. (2010). The Influence of Consumer Traits and Demographics on Intention to Use Retail Self-Service Checkouts. Marketing Intelligence and Planning, 28(1), 46-58. https://doi.org/10.1108/02634501011014606. Go to original source...
  29. Likert, R. (1932). A Technique for the Measurement of Attitudes. Archives of Psychology, 22(140), 55.
  30. Liljander, V., Gillberg, F., Gummerus, J., & van Riel, A. (2006). Technology Readiness and the Evaluation and Adoption of Self-Service Technologies. Journal of Retailing and Consumer Services, 13(3), 177-191. https://doi.org/10.1016/j.jretconser.2005.08.004. Go to original source...
  31. Meuter, M. L., Bitner, M. J., Ostrom, A. L., & Brown, S. W. (2005). Choosing Among Alternative Service Delivery Modes: An Investigation of Customer Trial of Self-Service Technologies. Journal of Marketing, 69(2), 61-83. https://doi.org/10.1509/jmkg.69.2.61.60759. Go to original source...
  32. Meuter, M. L., Ostrom, A. L., Roundtree, R. I., & Bitner, M. J. (2000). Self-Service Technologies: Understanding Customer Satisfaction with Technology-Based Service Encounters. Journal of Marketing, 64(3), 50-64. https://doi.org/10.1509/jmkg.64.3.50.18024. Go to original source...
  33. Myers, D., & Twenge, J. (2013). Social Psychology. McGraw Hill.
  34. Nanayakkara, C. (2007). A Model of User Acceptance of Learning Management Systems. The International Journal of Learning: Annual Review, 13(12), 223-232. https://doi.org/10.18848/1447-9494/cgp/v13i12/45146. Go to original source...
  35. Nijssen, E. J., Schepers, J. J. L., & Belanche, D. (2016). Why Did They Do It? How Customers' Self-Service Technology Introduction Attributions Affect the Customer-Provider Relationship. Journal of Service Management, 27(3), 276-298. https://doi.org/10.1108/josm-08-2015-0233. Go to original source...
  36. Oh, H., Jeong, M., & Baloglu, S. (2013). Tourists' Adoption of Self-Service Technologies at Resort Hotels. Journal of Business Research, 66(6), 692-699. https://doi.org/10.1016/j.jbusres.2011.09.005. Go to original source...
  37. Olujimi, P. A., & Ade-Ibijola, A. (2023). NLP Techniques for Automating Responses to Customer Queries: A Systematic Review. Discover Artificial Intelligence, 3(1), 20. https://doi.org/10.1007/s44163-023-00065-5. Go to original source...
  38. Ongena, G., Staat, S., & Ravesteijn, P. (2020). Factors Affecting the Adoption of Self-Service Technology (SST) in the Public Sector. International Journal of Public Administration in the Digital Age, 7(3), 32-46. https://doi.org/10.4018/ijpada.2020070102. Go to original source...
  39. Osgood, C., Suci, G., & Tannenbaum, P. (1957). The Measurement of Meaning. University of Illinois Press.
  40. Poppleton, P. K., & Pilkington, G. W. (1964). A Comparison of Four Methods of Scoring an Attitude Scale in Relation to Its Reliability and Validity. British Journal of Social and Clinical Psychology, 3(1), 36-39. https://doi.org/10.1111/j.2044-8260.1964.tb00402.x. Go to original source...
  41. Porter, C. E., & Donthu, N. (2006). Using the Technology Acceptance Model to Explain How Attitudes Determine Internet Usage: The Role of Perceived Access Barriers and Demographics. Journal of Business Research, 59(9), 999-1007. https://doi.org/10.1016/j.jbusres.2006.06.003. Go to original source...
  42. Ramayah, T., Jantan, M., Roslin, R. M., & Siron, R. (2004). Technology Readiness of Owners/Managers of SME's. The International Journal of Knowledge, Culture, and Change Management: Annual Review, 3(1), 475-486. https://doi.org/10.18848/1447-9524/cgp/v03/59061. Go to original source...
  43. Robertson, N., McDonald, H., Leckie, C., & McQuilken, L. (2016). Examining Customer Evaluations Across Different Self-Service Technologies. Journal of Services Marketing, 30(1), 88-102. https://doi.org/10.1108/jsm-07-2014-0263. Go to original source...
  44. Rogers, E. (1983). Diffusion of Innovations. The Free Press.
  45. Rokeach, M. (1968). Beliefs, Attitudes, and Values: A Theory of Organization and Change (1st ed.). Jossey-Bass.
  46. Rose, J., & Ogunmokun, G. (2010). Relationship Between Cognitive Age and Technology Readiness: An Exploratory Analysis of Mature Consumers. In Proceedings of ANZMAC Annual Conference 2010.
  47. Scherer, A., Wünderlich, N. V., & von Wangenheim, F. (2015). The Value of Self-Service: Long-Term Effects of Technology-Based Self-Service Usage on Customer Retention. MIS Quarterly, 39(1), 177-200. https://doi.org/10.25300/misq/2015/39.1.08. Go to original source...
  48. Smith, M., Bruner, J., & White, R. (1956). Opinions and Personality. John Wiley and Sons.
  49. Tamilmani, K., Rana, N. P., & Dwivedi, Y. K. (2021). Consumer Acceptance and Use of Information Technology: A Meta-Analytic Evaluation of UTAUT2. Information Systems Frontiers, 23, 987-1005. https://doi.org/10.1007/s10796-020-10007-6. Go to original source...
  50. Thurstone, L. L. (1928). Attitudes Can Be Measured. American Journal of Sociology, 33(4), 529-554. https://doi.org/10.1086/214483. Go to original source...
  51. Tittle, C. R., & Hill, R. J. (1967). Attitude Measurement and Prediction of Behavior: An Evaluation of Conditions and Measurement Techniques. Sociometry, 30(2), 199-213. https://doi.org/10.2307/2786227. Go to original source...
  52. Todman, J. (2000). Gender Differences in Computer Anxiety Among University Entrants Since 1992. Computers and Education, 34(1), 27-35. https://doi.org/10.1016/s0360-1315(99)00036-6. Go to original source...
  53. Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273-315. https://doi.org/10.1111/j.1540-5915.2008.00192.x. Go to original source...
  54. Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926. Go to original source...
  55. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540. Go to original source...
  56. Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157-178. https://doi.org/10.2307/41410412. Go to original source...
  57. Walker, R. H., Craig-Lees, M., Hecker, R., & Francis, H. (2002). Technology-Enabled Service Delivery. International Journal of Service Industry Management, 13(1), 91-106. https://doi.org/10.1108/09564230210421173. Go to original source...
  58. Wang, C., Harris, J., & Patterson, P. G. (2012). Customer Choice of Self-Service Technology: The Roles of Situational Influences and Past Experience. Journal of Service Management, 23(1), 54-78. https://doi.org/10.1108/09564231211208970. Go to original source...
  59. Weijters, B., Rangarajan, D., Falk, T., & Schillewaert, N. (2007). Determinants and Outcomes of Customers' Use of Self-Service Technology in a Retail Setting. Journal of Service Research, 10(1), 3-21. https://doi.org/10.1177/1094670507302990. Go to original source...

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