Towards customer-induced service orchestration - requirements for the next step of customer orientation
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This position paper acknowledges that customer orientation is a key requirement for companies to be competitive in the marketplace. Customer orientation has led to concepts, such as personalization, one-to-one-marketing, mass customization and co-creation, which all strive for a strong alignment of individual customer demands and encounters with a company’s offerings. Despite the customer is increasingly regarded as an active partner, the overall perspective of customer orientation is still mainly provider-oriented. Adopting the perspective of customers, as argued in this position paper, would help recognizing that customer problems are often broader and more complex than the solutions of single providers. While intermediaries and, more recently, assistants based on artificial intelligence, have emerged to address this demand, their approaches are typically little transparent and follow a black-box paradigm. Using examples from multiple application domains, this position paper proposes elements that need to be addressed to overcome these shortcomings. The concept of customer-induced service orchestration and management shall empower customers to combine services from multiple service providers in order to address their problems in a transparent and white-box way. This approach could represent an important next step in customer orientation.
KeywordsCustomer orientation Service orchestration Customer empowerment Customer-induced services Electronic intermediary
JEL classificationL22 L8 O14 D26
- Becker, J., Beverungen, D. F., & Knackstedt, R. (2010). The challenge of conceptual modeling for product–service systems: Status-quo and perspectives for reference models and modeling languages. Information Systems and e-Business Management, 8(1), 33–66. https://doi.org/10.1007/s10257-008-0108-y .Google Scholar
- Bennett, C. J. (2005). What happens when you book an airline ticket? In E. Zureik & M. Salter (Eds.), Global surveillance and policing: Borders, security, identity (pp. 113–138). London/New York: Routledge.Google Scholar
- Beverungen, D., Müller, O., Matzner, M., Mendling, J., & vom Brocke, J. (2019). Conceptualizing smart service systems. Electronic Markets, 29(1). https://doi.org/10.1007/s12525-017-0270-5 .
- Bolton, R. N., Gustafsson, A., McColl-Kennedy, J., Sirianni, N. J., & Tse, D. K. (2014). Small details that make big differences: A radical approach to consumption experience as a firm's differentiating strategy. Journal of Service Management, 25(2), 253–274. https://doi.org/10.1108/JOSM-01-2014-0034 .Google Scholar
- Breese, J. S., Heckerman, D., & Kadie, C. (1998). Empirical analysis of predictive algorithms for collaborative filtering. In G. Cooper & S. Moral (Eds.), Proceedings 14 th conference on uncertainty in artificial intelligence (pp. 43–52). San Francisco: Morgan Kaufmann.Google Scholar
- Brun, A., & Karaosman, H. (2018). Customer influence on supply chain management strategies: An exploratory investigation in the yacht industry. Business Process Management Journal. https://doi.org/10.1108/BPMJ-05-2017-0133 .
- Copeland, D. G., & McKenney, J. L. (1988). Airline reservations systems: Lessons from history. MIS Quarterly, 12(3), 353–370.Google Scholar
- Demiris, G., Afrin, L. B., Speedie, S., Courtney, K. L., Sondhi, M., Vimarlund, V., & Lynch, C. (2008). Patient-centered applications: Use of information technology to promote disease management and wellness. White paper by the AMIA knowledge in motion working group. Journal of the American Medical Informatics Association, 15(1), 8–13. https://doi.org/10.1197/jamia.M2492 .Google Scholar
- Deng, X., Joshi, K. D., & Galliers, R. D. (2016). The duality of empowerment and marginalization in microtask crowdsourcing: Giving voice to the less powerful through value sensitive design. MIS Quarterly, 40(2), 279–302.Google Scholar
- Donavan, D. T., Brown, T. J., & Mowen, J. C. (2004). Internal benefits of service worker-customer orientation: Job satisfaction, commitment, and organizational citizenship behaviors. Journal of Marketing, 68(1), 128–146.Google Scholar
- Doty, C. A. (2014). The power of customer context. Cambridge: Forrester Research, Inc.Google Scholar
- Ehmke, J.-F., Mattfeld, D.C., & Albrecht, L. (2016). Position paper: Combining mobility services by customer-induced orchestration. RecTour 2016 – Workshop on recommenders in tourism held in conjunction with the 10th ACM conference on recommender systems (RecSys), Boston, USA.Google Scholar
- Frank, U. (2007). Evaluation of reference models. In P. Fettke & P. Loos (Eds.), Reference modeling for business systems analysis (pp. 118–140). Hershey: Idea Group.Google Scholar
- Garets, D., & Davis, M. (2006). Electronic medical records vs. Electronic health records. Yes, there is a difference. Chicago: HIMSS Analytics.Google Scholar
- Gyrard, A. (2015). Designing cross-domain semantic web of things applications. Doctoral thesis, Paris Institute of Technology, Telecom ParisTech, Paris.Google Scholar
- Haux, R. (1989). Knowledge-based decision support for diagnosis and therapy. On the multiple usability of patient data. Methods of Information in Medicine, 28(2), 69–77.Google Scholar
- ISO (2015). ISO 14813-1:2015. Intelligent transport systems – Reference model architecture(s) for the ITS sector. https://www.iso.org/standard/57393.html. Accessed 15 Jan 2019.
- Lenz, K., & Oberweis, A. (2004). Workflow services: A petri net-based approach to web services. In: Proceedings international symposium on leveraging applications of formal methods (ISoLA), pp. 35-41, Paphos.Google Scholar
- Löbler, H., & Hahn, M. (2013). Measuring value-in-context from a service-dominant logic’s perspective. In N. K. Malhotra (Ed.), Review of marketing research, review of marketing research, 10 (pp. 255–282). Bradford: Emerald. https://doi.org/10.1108/S1548-6435(2013)0000010013 .Google Scholar
- Merten, P. S. (2007). The transformation of the distribution process in the airline industry empowered by information and communication technology. In W. R. Pease, M. Rowe, & M. Cooper (Eds.), Information and communication technologies in support of the tourism industry (pp. 76–113). London: Idea Group. https://doi.org/10.4018/978-1-59904-159-9.ch004 .Google Scholar
- Österle, H., & Senger, E. (2011). Prozessgestaltung und IT: Von der Unternehmens- zur Konsumentensicht. Controlling & Management, 55(2), 80–88.Google Scholar
- Sachse, S. (2018). Customer-centric service management - conceptualization and evaluation of consumer-induced service composition. Ph.D. Thesis, Leipzig University. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa2-320862.
- Schmid, V., & Ehmke, J. F. (2017). An effective large neighborhood search for the team orienteering problem with time windows. In T. Bektaş, S. Coniglio, A. Martinez-Sykora, & S. Voß (Eds.), Computational logistics (pp. 3–18). Cham: Springer. https://doi.org/10.1007/978-3-319-68496-3_1 .Google Scholar
- Sedano, F. F. J., Cuadrado, M. T., Clemente, Y. C., Balazote, P. S., Cano, D. M., & Viejo, M. R. (2011). Patient summary and medicines reconciliation: Application of the ISO/CEN EN 13606 standard in clinical practice. Studies in Health Technology and Informatics, 166, 189–196. https://doi.org/10.3233/978-1-60750-740-6-189 .Google Scholar
- Slater, S. F., & Narver, J. C. (1998). Customer-led and market-oriented: Let’s not confuse the two. Strategic Management Journal, 19(10), 1001–1006. https://doi.org/10.1002/(SICI)1097-0266(199810)19:10<1001::AID-SMJ996>3.0.CO;2-4 .Google Scholar
- Straus, L., Robbert, T., & Roth, S. (2016). Customer participation in the customization of services – Effects on satisfaction and behavioral intentions. Journal of Business Market Management, 9(1), 498–517.Google Scholar
- Tseng, M. M., & Kiao, J. (2001). Mass customization. In: Salvendy, G. (Ed.). Handbook of industrial engineering, 3rd edition, (pp. 684–709). New York: Wiley. https://doi.org/10.1002/9780470172339.ch25.
- Tseng, M. M., & Piller, F. (2003). The customer centric enterprise. In: Tseng, M.M., & Piller, F. (Eds.). The customer centric enterprise - advances in mass customization and personalization (pp. 3–16). Berlin/Heidelberg: Springer. https://doi.org/10.1007/978-3-642-55460-5.
- Voorhees, C. M., Fombelle, P. W., Gregoire, Y., Bone, S., Gustafsson, A., Sousa, R., & Walkowiak, T. (2017). Service encounters, experiences and the customer journey: Defining the field and a call to expand our lens. Journal of Business Research, 79, 269–280. https://doi.org/10.1016/j.jbusres.2017.04.014 .Google Scholar
- Wang, Q., Zhao, X., & Voss, C. (2016). Customer orientation and innovation: A comparative study of manufacturing and service firms. International Journal of Production Economics, 171(2), 221–230.Google Scholar
- Wind, J., & Rangaswamy, A. (2001). Customerization: The next revolution in mass customization. Journal of Interactive Marketing, 15(1), 13–32. https://doi.org/10.1002/1520-6653(200124)15:1%3C13::AID-DIR1001%3E3.0.CO;2-%23 .Google Scholar