Analysis of Customer Engagement in Creating Value at Different Stages of the Relationship Life Cycle

Document Type : Research Paper

Authors

1 Assistant Prof., Department of Management, Tabriz Branch, Islamic Azad University, Tabriz, Iran

2 Associate Prof., Department of Business Management, Faculty of Management, Allameh Tabatabai University, Tehran, Iran

3 MSc., Department of Business Management, Higher Education Institute of Shams Science and Technology, Tabriz, Iran

Abstract

Objective
Increasing competitive environment among businesses as well as the importance of attracting new customers and maintaining the existing customers have led to reform in customer management approaches. Currently, along with technological and internet-based development and advancement as well as formation of online social media, an appropriate infrastructure for social communication and sharing experiences have been created. Such environmental changes can help evolve customers’ relationship with the companies and pave the way for the new concept of customer engagement which the researchers believe can significantly increase profitability. According to dynamic systematic marketing theories, we can consider life cycle factor for relationships just like products i.e. the relationship between customers and companies change throughout time. Although only a few studies have investigated the effect of customer engagement on customer-firm life cycle and also customers’ value creation in relationship life cycle, academicians and business managers need to conduct empirical studies in order to gain a better understanding of the value of the customer’s engagement in relationship life cycle. Therefore, the present study, we aim to respond to the following questions:

Do different customers have the same degree of enthusiasm to engage in creation of values for the companies?
What kinds of values are sought by the customers of different relationship life cycle?

 
Methodology
This study is applied in nature and descriptive in terms of methodology. The population of the study includes all the customers of different branches of Parsian Insurance Company in Tabriz. The population was considered as infinite and a sample size of 386 customers was selected according to Cochran approach and based on non-incidental availability of the customers. The participants in the present study were selected from among actual insurance users. The data were collected using questionnaires. 520 questionnaires were distributed in order to receive at least 386 completed ones. All 52 branches of Parsian Insurance Company were investigated in order to reduce the ethnicity judgmental error. Cronbach alpha, Composite Reliability (CR), and Average Variance Extracted (AVE) reliability measures were used. Besides, content and construct (convergent and divergent) validity measures were sought. Content validity was measured using experts’ opinions. Finally, variance analysis was used to test the research hypotheses.
 
Findings
We can conclude that the highest customer engagement rate occurs within the third stage (maturity or maintenance) of the relationship life cycle where the nature of the relationship between the customer and the firm is more intimate. In the developing and maintaining stages of the relationship, the customers are willing to directly (repurchasing) and indirectly (introducing new customers, influencing others and giving feedback) engage in creating of values to the Insurance Company. Due to the lack of comprehensive knowledge of the firm and limited trust, in the early stages (cognitive stage) of the relationship, customer’s engagement in value creation is lower. Similarly, in the final stages of the relationship (decline in relationship), direct (customers’ life cycle value) and indirect (reference value, influence value and customers’ awareness value) engagement reduces significantly. In general, as the relationship progresses the willingness to engage in such activities increases and reaches the apex in the maturity stage and the engagement reduces as the customers enter the final stage of the relationship. Variance Analysis test shows different customer’s engagement within different stages of the relationship between the customer and the firm.
 
Conclusion
The present study has helped improve the customer engagement marketing literature in different ways: a first, we suggest that customer engagement value is dynamic because of the relationship dynamism theory and that such value increases as the relationship progresses. Besides, this study provides an empirical test based on the proposed framework regarding insurance services and shows that the customers’ engagement in value creation differs from one stage to another. Third, the few studies regarding customer engagement are conducted in developed countries and the present study is the first one conducted in a developing country like Iran, so it can help enrich this area of research.

Keywords

Main Subjects


 
References
Bagozzi, R. P. & Yi, Y. (1988). On the evaluation of structural equation models. Journal of The Academy of Marketing Science, 16(1), 74-94.
Berry, L. L. (1995). Relationship marketing of services-growing interest, emerging perspectives. Journal of the Academy of marketing science, 23 (4), 236-245.
Bleier, A. De Keyser, A. & Verleye, K. (2018). Customer Engagement through Personalization and Customization. In: Palmatier R., Kumar V., Harmeling C. (eds) Customer Engagement Marketing. Palgrave Macmillan, Cham.
Bowden, J. L. H. (2009). The process of customer engagement: A conceptual framework. Journal of Marketing Theory and Practice, 17(1), 63-74.
Brodie, R. J. Hollebeek, L. D. Jurić, B. & Ilić, A. (2011). Customer engagement: Conceptual domain, fundamental propositions, and implications for research. Journal of Service Research, 14(3), 252-271.
Cambra-Fierro, J. Melero-Polo, I. & Javier Sese, F. (2018). Customer value co-creation over the relationship life cycle. Journal of Service Theory and Practice, 28(3), 336-355.
Dessart, L. Veloutsou, C. & Morgan-Thomas A. (2016). Capturing consumer engagement: duality, dimensionality and measurement. Journal of Marketing Management, 32(5-6), 399-426.
Dwyer, F. Schurr, P. & Oh, S. (1987). Developing buyer seller relationships. Journal of marketing, 51 (2), 11-27.
Fornell, C. & Larcker, D. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Ganesan, S. (1994). Determinants of long-term orientation in buyer-seller relationship. Journal of Marketing, 58(2), 1-19.
Grönroos, C. (2006). Adopting a service logic for marketing. Marketing Theory, 6 (3), 317-333.
Hollebeek, L. D. Srivastava, R. K. & Chen, T. (2016). SD logic–informed customer engagement: integrative framework, revised fundamental propositions, and application to CRM. Journal of the Academy of Marketing Science, 1-25. https://doi.org/10.1007/ s11747-016-0494-5.
Ibrahimi, A. & Aali S. (2016). Effects of relationship quality on Customer behavioral responses at different stages of the customer relationship life cycle:  case study of Tabriz Kheshavarzy Bank. Journal of Business Management, 8(3), 503-528. (in Persian)
Jap, D. & Ganesan, Sh. (2000). Control Mechanisms and the Relationship Life Cycle: Implications for Safeguarding Specific Investments and Developing Commitment. Journal of Marketing Research, 37, 227–245.
Kaltcheva, V.D., Patino, A., Laric, M.V., Pitta, D.A., Imparato, N. (2014). Customers' relational models as determinants of customer engagement value. Journal of Product & Brand Management, 23(1), 55-61.
Kline, R. B. (2005). Principles and Practice of Structural Equation Modelling (2nd ed.), New York: The Guilford Press.
Kotler, P., Kartajaya, H., & Setiawan, I. (2010). Marketing 3.0: From Products to Customers to the Human Spirit. John Wiley & Sons.
Kumar, V. & Pansari, A. (2016). Competitive advantage through engagement. Journal of Marketing Research, 53(4), 497-514.
Kumar, V. (2018). A Theory of Customer Valuation:  Concepts, Metrics, Strategy, and Implementation. Journal of Marketing, 82(1), 1-19.
Kumar, V. (2008). Customer Lifetime Value: The Path to Profitability, Now Publishers Inc.
Kumar, V., Aksoy, L., Donkers, B., Venkatesan, R., Wiesel, T. & Tillmans, S. (2010). Undervalued or Overvalued Customers: Capturing Total Customer Engagement Value. Journal of Service Research, 13(3), 297-310.
Kumar, V., & Reinartz, W. (2016) Creating Enduring Customer Value. Journal of Marketing, 80 (6), 36-68.
Kunz, W., Aksoy, L., Bart, Y., Heinonen, K., Kabadayi, S., Ordenes, F., Sigala, M., Diaz, D. Theodoulidis, B. (2017). Customer engagement in a Big Data world. Journal of Services Marketing, 31(2), 161-171.
Kusari, S. Hoeffler, S. & Iacobucci, D. (2013). Trusting and monitoring business partners throughout the relational life cycle. Journal of Business-to-Business Marketing, 20(3), 119-138.
Lusch, R. F. & Brown, J. R. (1996). Interdependency, contracting, and relational behavior in marketing channel. Journal of Marketing, 60(4), 19-38.
Palmatier, R., Houston, M., Dant, R. & Grewal, D. (2013). Relationship velocity: toward a theory of relationship dynamics. Journal of Marketing, 77(1), 13-30.
Palmatier, R. W., Harmeling, C. M. & Kumar, V. (2018). Customer Engagement Marketing. Palgrave Macmillan.
Pansari, A. & Kumar, V. (2018). Customer Engagement Marketing. In: Palmatier R., Kumar V. Harmeling C. (eds) Customer Engagement Marketing, Palgrave Macmillan, Cham.
Pansari, A. & Kumar, V. (2017). Customer engagement: the construct, antecedents, and consequences. Journal of the Academy of Marketing Science, 45(3), 294-311.
Stein, A. & Ramaseshan, B. (2015). Customer Referral Behavior. Journal of Service Research, 18 (2), 229-239.
Van Doorn, J., Lemon, K. N., Mittal, V., Nass, S., Pick, D., Pirner, P. & Verhoef, P. C. (2010). Customer engagement behavior: Theoretical foundations and research directions. Journal of service research, 13(3), 253-266.
Vargo, S.L., & Lusch, R.F. (2004). Evolving to a new dominant logic for Marketing. Journal of Marketing, 68 (1), 1-17.
Verhoef, P., Hans, P. & Hoekstra, J. (2002). The effect of relational constructs on customer referrals and number of services purchased from a multiservice provider: does age of relationship matter? Journal of the Academy of Marketing Science, 30(3), 202-216.
Verhoef, P., Lemon, K. N., Parasuraman, A., Roggeveen, A., Tsiros, M. & Schlesinger, L, A. (2009). Customer Experience Creation: Determinants, Dynamics and Management Strategies. Journal of Retailing, 85(1), 31-41.
Vivek, S. D., Beatty, S. E. & Morgan, R. M. (2012). Customer engagement: Exploring customer relationships beyond purchase. Journal of Marketing Theory and Practice, 20(2), 122-146.
Wang, C., & Wu, L. (2012). Customer loyalty and the role of relationship length. Managing ServiceQuality, 22(1), 58-74.
Zhang, J. Z., Watson, G.F. Palmatier R. W. & Dant R. P. (2016). Dynamic Relationship Marketing. Journal of Marketing, 80 (September), 53-75.