Value co-creation effects on transaction cost, relational capital, and loyalty of hair salon customers: Results and implications of a Ghanaian study

References

• Aarikka-Stenroos, L., & Jaakkola, E. (2012). Value co-creation in knowledge intensive business services: A dyadic perspective on the joint problem solving process. Industrial Marketing Management, 41(1), 15–26. https://doi.org/10.1016/j.indmarman.2011.11.008
   Web of Science ®Google Scholar
• Agrawal, R., Gaur, S., & Narayanan, A. (2012). Determining customer loyalty: Review and model. The Marketing Review, 12(3), 275–289. https://doi.org/10.1362/146934712X13420906885430
   Google Scholar
• Bagozzi, R. P., & Yi, Y. (1988). On the Evaluation of Structural Equation Models. Journal of the Academy of Marketing Science, 16(1), 74–94. https://doi.org/10.1007/BF02723327
   Google Scholar
• Bettiga, D., Lamberti, L., & Noci, G. (2018). Investigating social motivations, opportunity and ability to participate in communities of virtual co-creation. International Journal of Consumer Studies, 42(1), 155–163. https://doi.org/10.1111/ijcs.12409
   Web of Science ®Google Scholar
• Brymer, R. A., & Hitt, M. A. (2018). Agonistic relations, social capital, and (dis)complementary in the emergence of human capital resources. In A. J. Nyberg & T. P. Moliterno (Eds.). Handbook of research on strategic human capital resources: 245–256. Cheltenham, UK: Edward Elgar Publishing.
   Google Scholar
• Chen, C. F., & Wang, J. P. (2016). Customer participation, value co-creation and customer loyalty - A case of airline online check-in system. Computers in Human Behaviour, 62, 346–352. https://doi.org/10.1016/j.chb.2016.04.010
   Web of Science ®Google Scholar
• Chepurna, M., & Rialp Criado, J. (2018). Identification of barriers to co-create on-line: The perspectives of customers and companies. Journal of Research in Interactive Marketing, 12(4), 452–471. https://doi.org/10.1108/JRIM-01-2018-0018
   Web of Science ®Google Scholar
• Clark, L. A., & Watson, D. (1995). Constructing validity: Basic issues in objective scale development. Psychological Assessment, 7(3), 309–319. https://doi.org/10.1037/1040-3590.7.3.309
   Web of Science ®Google Scholar
• Coase, R. H. (1937). The nature of the firm. Economica. New Series, 4 (16), 386–405. https://doi.org/10.1111/j.1468-0335.1937.tb00002.x
   Google Scholar
• Cohen, J. (1988). Statistical power analysis for the behavioural sciences. (2nd, Ed.). Lawrence Eribaum Associates, Inc.
   Google Scholar
• Cossío-Silva, F. J., Revilla-Camacho, M. Á., Vega-Vázquez, M., & Palacios-Florencio, B. (2016). Value co-creation and customer loyalty. Journal of Business Research, 69(5), 1621–1625. https://doi.org/10.1016/j.jbusres.2015.10.028
   Web of Science ®Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error: Algebra and statistics. JMR, Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
   Web of Science ®Google Scholar
• Frempong, J., Chai, Junwu., & Ampaw, E. M. (2018). Effects of waste management customer online value co-creation on sanitation attitude and advocacy: A customer -enterprise dyadic perspective. Sustainability, 10(7), Article 2557. https://doi.org/10.3390/su10072557
   Web of Science ®Google Scholar
• Gee, R., Coates, G., & Nicholson, M. (2008). Understanding and Profitably Managing Customer Loyalty. Marketing Intelligence & Planning, 26(4), 359–374. https://doi.org/10.1108/02634500810879278
   Google Scholar
• Geisser, S. (1974). A predictive approach to the random effect model. Biometrika, 61(1), 101–107. https://doi.org/10.1093/biomet/61.1.101
   Web of Science ®Google Scholar
• Granovetter, M. (1985). Economic action and social structure: The problem of embeddedness. American Journal of Sociology, 91(3), 481–510. https://doi.org/10.1086/228311
   Web of Science ®Google Scholar
• Grönroos, C. (2008). Service logic revisited: Who creates value? And who co-creates? European Business Review, 20(4), 298–314. https://doi.org/10.1108/09555340810886585
   Google Scholar
• Guo, R., Wang, T., & Tao, L. (2008, September, 10). Research on the effect mechanism of customer participation on new product development based on transaction cost theory: A knowledge sharing perspective [Conference session]. 2008 International Conference on Management Science and Engineering 15th Annual Conference Proceedings, Long Beach, CA. United States https://doi.org/10.1109/ICMSE.2008.4669102
   Google Scholar
• Hair, J. F., Black, W., Babin, B., Anderson, R., & Tatham, R. (2006). Multivariate Data Analysis (Vol. 6). Pearson Prentice Hall., https://doi.org/10.1080/19447013008687143
   Google Scholar
• Hair, J., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2013). A Primer on Partial Least Squares Structural Equation Modelling (PLS-SEM). SAGE Publications.
   Google Scholar
• Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modelling in international marketing. In. R. R Sinkovic, & P. N. Ghauri. (Eds.). New challenges to international marketing: Advances in international marketing (Vol. 20, pp. 277–319). Emerald Group Publishing Limited. https://doi.org/10.1108/ S1474-7979(2009)0000020014
   Google Scholar
• Henseler, J., & Fassott, G. (2010). Testing moderation effects in PLS path models: An illustration of available procedure. In W. E. Vinzi, W. W. Chin, J. Henseler, & H. Wang (Eds.) Handbook of Partial Least Squares (pp. 713–735). Springer. https://doi.org/10.1007/978-3-540-32827-8_31
   Google Scholar
• Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modelling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
   Web of Science ®Google Scholar
• Hunt, D. M., Geiger-Oneto, S., & Varca, P. E. (2012). Satisfaction in the Context of Customer Co-Production: A Behavioural Involvement Perspective. Journal of Consumer Behaviour, 11(5), 347–356. https://doi.org/10.1002/cb.1370
   Web of Science ®Google Scholar
• Kale, P., Singh, H., & Perlmutter, H. (2000). Learning and Protection of Proprietary Assets in Strategic Alliances. Strategic Management Journal, 21(3), 217–237. https://doi.org/10.1002/(SICI)1097-0266(200003)21:33.0.CO;2-Y
   Web of Science ®Google Scholar
• Khan, B. M. (2009). Consumers and their brands: Deciphering dimensions of loyalty. International Journal of Business Insights & Transformation, 2(1), 84–92.
   Google Scholar
• Kimmy, W. C., & Chi, K. (2010). Is customer participation in Value Creation a double-edged sword? Evidence from professional financial services across cultures. Journal of Marketing, 74(3), 48–64. https://doi.org/10.1509/jmkg.74.3.048
   Web of Science ®Google Scholar
• Kline, R. B. (2011). Principles and practice of structural equation modelling. Guilford Press.
   Google Scholar
• Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1–10. https://doi.org/10.4018/ijec.2015100101
   Web of Science ®Google Scholar
• Lazerson, M. H., & Lorenzoni, G. (1999). The Firms that Feed Industrial Districts: A Return to the Italian source. Industrial and Corporate Change, 8(2), 235–266. https://doi.org/10.1093/icc/8.2.235
   Google Scholar
• Letts, Q. (1996). New York at equality’s cutting edge. The Times.
   Google Scholar
• Liston-Heyes, C., & Neokleous, E. (2000). Gender-Based Pricing in the Hair-dressing Industry. Journal of Consumer Policy, 23, 107–126. https://doi.org/10.1023/A:1006492207450
   Google Scholar
• Lusch, R. F., & Vargo, S. L. (2006). Service-dominant logic: Reactions, reflections and refinements. Marketing Theory, 6(3), 281–288. https://doi.org/10.1177/1470593106066781
   Google Scholar
• Lusch, R. F., & Vargo, S. L. (2014). Service-Dominant Logic. Cambridge University Press.
   Google Scholar
• Martínez-Cañas, R., Ruiz-Palomino, P., Linuesa-Langreo, J., & Blázquez-Resino, J. J. (2016). Consumer participation in co-creation: An enlightening model of causes and effects based on ethical values and transcendent motives. Frontiers in Psychology, 7(MAY), 1–17. https://doi.org/10.3389/fpsyg.2016.00793
   PubMedGoogle Scholar
• 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
   Web of Science ®Google Scholar
• Nahapiet, J., & Ghoshal, S. (1998). Social Capital, Intellectual Capital and the Organizational Advantage. Academy of Management Review, 23(2), 242–266. https://doi.org/10.5465/amr.1998.533225
   Web of Science ®Google Scholar
• Ndubisi, N. O. (2006). Effect of Gender Customer Loyalty: A relationship marketing Approach. Marketing Intelligence & Planning, 24(1), 48–61. https://doi.org/10.1108/02634500610641552
   Google Scholar
• Neghina, C., Bloemer, J., van Birgelen, M., & Caniels, M. C. J. (2017). Consumer motives and willingness to co-create in professional and generic services. Journal of Service Management, 28(1), 157–181. https://doi.org/10.1108/ JOSM-12-2015-0404
   Web of Science ®Google Scholar
• Oda, Y. (2005). Women working at hair-dressing: A case study of a rapidly increasing business among women in urban Ghana. African Study Monographs, 29, 83–94.
   Google Scholar
• Opata, C. N., Xiao, W., Nusenu, A. A., Tetteh, S., & Boadi, E. A. (2019). The impact of value co-creation on satisfaction and loyalty: The moderating effect of price fairness (empirical study of automobile customers in Ghana). Total Quality Management & Business Excellence, 1–15. Advance online publication. https://doi.org/10.1080/14783363.2019.1684189
   Web of Science ®Google Scholar
• Podsakoff, P. M., Mackenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioural research: A critical review of the literature and recommended remedies. The Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
   PubMed Web of Science ®Google Scholar
• Prahalad, C. K., & Ramaswamy, V. (2004). Co-creation Experiences: The next practice in value creation. Journal of Interactive Marketing, 18(3), 5–14. https://doi.org/10.1002/dir.20015
   Google Scholar
• Rindfleisch, A. (2019). Transaction cost theory: past, present and future. AMS Rev.
   Google Scholar
• Ringle, C.M., Wende, S. and Becker, J.M. (2015) SmartPLS. SmartPLS GmbH, Boenningstedt.
   Google Scholar
• Taheri, B., Coelho, F., Sousa, C. M. P., & Evanschitzky, H. (2017). Mood regulation, customer participation, and customer value creation in hospitality services. International Journal of Contemporary Hospitality Management, 29(12), 3063–3081. https://doi.org/10.1108/IJCHM-07-2016-0389
   Web of Science ®Google Scholar
• Tyagi, R. K. (2004). Technological advances, transaction costs, and consumer welfare. Marketing Science, 23(3), 335–344. https://doi.org/10.1287/mksc.1030.0038
   Web of Science ®Google Scholar
• Tenenhaus, M., & Vinzi, V. (2005). PLS Path Modelling. Statistics and Analysis, 48(1), 159–205. http://drsandorkovacs.net/sites/default/files/plspm/tenenhausetal_2005_plspathmodelling.pdf
   Google Scholar
• Vargo, S. L., & Lusch, R. F. (2004). Evolving to a New Dominant Logic for Marketing. Journal of Marketing, 68, 1–17. https://doi.org/10.1509/jmkg.68.1.1.24036
   Web of Science ®Google Scholar
• Vargo, S. L., & Lusch, R. F. (2016). Institutions and axioms : An extension and update of service-dominant logic. Journal of the Academy of Marketing Science, 44, 5–23. https://doi.org/10.1007/s11747-015-0456-3
   Web of Science ®Google Scholar
• Wang, X., & Yu, X. (2019). The contradictory effects of customer participation breadth and depth on customer-perceived value. Journal of Business and Industrial Marketing, 34(8), 1736–1748. https://doi.org/10.1108/JBIM-01-2019-0033
   Web of Science ®Google Scholar