Design Principles for Route Optimization Business Models: A Grounded Theory Study of User Feedback

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Cite as text

						@Select Types{,
							 
							 
							 
							 
							 
							Journal   = "Band-1",
							 Title= "Design Principles for Route Optimization Business Models: A Grounded Theory Study of User Feedback", 
							Author= "Frederik Möller, Tobias Moritz Guggenberger, and Boris Otto", 
							Doi= "https://doi.org/10.30844/wi_2020_j10-moeller", 
							 Abstract= "The article generates design principles for business models offering route optimization software. Route optimization is a widely relevant activity in logistics, as it is its purpose to optimize the amount of time and the associated cost that a vehicle needs to reach its intended destination. The article presents a Grounded Theory study of user reviews drawn from the comparison portal Capterra to uncover possible design principles for these business models. User reviews are suitable data for that purpose as they are a rich source to derive basic requirements for a product. The data are analyzed qualitatively, adhering to established coding guidelines, and aligned with established business model components to achieve a link between empirical research and the underlying knowledge base. The synthesis of the data to design principles enables practitioners to adequately process and instantiate them into real-life design decisions that enhance the possibility of designing a successful business model.

", 
							 Keywords= "Design Principles, Route Optimization, Logistics, Digital Business Models, Grounded Theory
", 
							}
					
Frederik Möller, Tobias Moritz Guggenberger, and Boris Otto: Design Principles for Route Optimization Business Models: A Grounded Theory Study of User Feedback. Online: https://doi.org/10.30844/wi_2020_j10-moeller (Abgerufen 23.11.24)

Abstract

Abstract

The article generates design principles for business models offering route optimization software. Route optimization is a widely relevant activity in logistics, as it is its purpose to optimize the amount of time and the associated cost that a vehicle needs to reach its intended destination. The article presents a Grounded Theory study of user reviews drawn from the comparison portal Capterra to uncover possible design principles for these business models. User reviews are suitable data for that purpose as they are a rich source to derive basic requirements for a product. The data are analyzed qualitatively, adhering to established coding guidelines, and aligned with established business model components to achieve a link between empirical research and the underlying knowledge base. The synthesis of the data to design principles enables practitioners to adequately process and instantiate them into real-life design decisions that enhance the possibility of designing a successful business model.

Keywords

Schlüsselwörter

Design Principles, Route Optimization, Logistics, Digital Business Models, Grounded Theory

References

Referenzen

1. Cattaruzza, D., Absi, N., Feillet, D., Gonzalez-Feliu, J.: Vehicle Routing Problems for City Logistics. EURO Journal on Transportation and Logistics 6, 51–79 (2017)
2. Dorer, K., Calisti, M.: An adaptive solution to dynamic transport optimization. In: Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (2005)
3. Ichoua, S., Gendreau, M., Potvin, J.-Y.: Planned route optimization for real-time vehicle routing. In: Dynamic Fleet Management, pp. 1–18. Springer (2007)
4. Möller, F., Bauhaus, H., Hoffmann, C., Niess, C., Otto, B.: Archetypes of Digital Business Models in Logistics Start-Ups. In: Proceedings of the 27th European Conference on Information Systems (2019)
5. Heinrich, P., Schwabe, G.: Communicating Nascent Design Theories on Innovative Information Systems through Multi-grounded Design Principles. In: Proceedings of the 9th International Conference on Design Science Research in Information Systems and Technology, pp. 148–163 (2014)
6. Gregor, S.: The Nature of Theory in Information Systems. MIS Quarterly: Management Information Systems 30, 611–642 (2006)
7. Seidel, S., Chandra Kruse, L., Székely, N., Gau, M., Stieger, D.: Design Principles for Sensemaking Support Systems in Environmental Sustainability Transformations. European Journal of Information Systems (2017)
8. Hevner, A.R., March, S.T., Park, J., Ram, S.: Design Science in Information Systems Research. MIS Quarterly: Management Information Systems 28, 75–105 (2004)
9. Yang, Z., Fang, X.: Online service quality dimensions and their relationships with satisfaction: A content analysis of customer reviews of securities brokerage services. International journal of service industry management 15, 302–326 (2004)
10. Pagano, D., Maalej, W. (eds.): User feedback in the appstore: An empirical study. 2013 21st IEEE International Requirements Engineering Conference (RE) (2013)
11. Maalej, W., Nabil, H.: Bug report, feature request, or simply praise? On automatically classifying app reviews. In: Proceedings of the IEEE 23rd International Requirements Engineering Conference (RE), pp. 116–125 (2015)
12. Veit, D., Clemons, E., Benlian, A., Buxmann, P., Hess, T., Kundisch, D., Leimeister, J.M., Loos, P., Spann, M.: Business Models. An Information Systems Research Agenda. Business and Information Systems Engineering 6, 45–53 (2014)
13. Osterwalder, A., Pigneur, Y., Tucci, C.L.: Clarifying Business Models: Origins, Present, and Future of the Concept. Communications of the Association for Information Systems 16, 1–25 (2005)
14. Chesbrough, H.: Business Model Innovation: Opportunities and barriers. Long Range Planning 43, 354–363 (2010)
15. Markides, C.: Disruptive Innovation: In Need of Better Theory. Journal of Product Innovation Management 23, 19–25 (2006)
16. Saldaña, J.: The coding manual for qualitative researchers. Sage (2015)
17. Debortoli, S., Müller, O., Junglas, I.A., Vom Brocke, J.: Text mining for information systems researchers: an annotated topic modeling tutorial. Communications of the Association for Information Systems 39, 7 (2016)
18. Glaser, B.G., Strauss, A.L.: Discovery of grounded theory: Strategies for qualitative research. Routledge, New Brunswick, London (1967)
19. Izvercian, M., Potra, S., Ivascu, L.: Job Satisfaction Variables: A Grounded Theory Approach. Procedia – Social and Behavioral Sciences 221, 86–94 (2016)
20. Blair, E.: A reflexive exploration of two qualitative data coding techniques. Journal of Methods and Measurement in the Social Sciences 6, 14–29 (2015)
21. Casadesus-Masanell, R., Ricart, J.E.: From Strategy to Business Models and onto Tactics. Long Range Planning 43, 195–215 (2010)
22. Arend, R.J.: The business model: Present and future—beyond a skeumorph. Strategic Organization 11, 390–402 (2013)
23. Gambardella, A., McGahan, A.M.: Business-Model Innovation: General Purpose Technologies and their Implications for Industry Structure. Long Range Planning 43, 262– 271 (2010)
24. Burkhart, T., Krumeich, J., Werth, D., Loos, P.: Analyzing the Business Model Concept – A Comprehensive Classification of Literature. In: Proceedings of the 32nd International Conference on Information Systems (2011)
25. Teece, D.J.: Business Models and Dynamic Capabilities. Long Range Planning 51, 40–49 (2018)
26. Bock, M., Wiener, M.: Towards a Taxonomy of Digital Business Models – Conceptual Dimensions and Empirical Illustrations. In: Proceedings of the 38th International Conference on Information Systems (2017)
27. Michalik, A., Möller, F., Henke, M., Otto, B.: Towards Utilizing Customer Data for Business Model Innovation: The Case of a German Manufacturer. Procedia CIRP 73, 310– 316 (2018)
28. Schüritz, R., Satzger, G.: Patterns of Data-Infused Business Model Innovation. In: Proceedings of the IEEE Conference on Business Informatics. Paris: France (2016)
29. Schüritz, R., Seebacher, S., Dorner, R.: Capturing Value from Data: Revenue Models for Data-Driven Services. In: Proceedings of the 50th Hawaii International Conference on System Sciences. Hawaii: USA (2017)
30. Täuscher, K., Laudien, S.M.: Understanding Platform Business Models: A Mixed Methods Study of Marketplaces. European Management Journal 36, 319–329 (2018)
31. Kouris, I., Kleer, R.: BUSINESS MODELS IN TWO-SIDED MARKETS: AN ASSESSMENT OF STRATEGIES FOR APP PLATFORMS. In: Proceedings of the International Conference on Mobile Business. Delft: Netherlands (2012)
32. El Sawy, O.A., Pereira, F.: Business Modelling in the Dynamic Digital Space an Ecosystem Approach. Springer, Heidelberg, New York, Dordrecht, London (2013)
33. Yoo, Y., Henfridsson, O., Lyytinen, K.: The New Organizing Logic of Digital Innovation: An Agenda for Information Systems Research. Information Systems Research 21, 724– 735 (2010)
34. Bharadwaj, A., El Sawy, O.A., Pavlou, P.A., Venkatraman, N.: Digital Business Strategy: Toward a Next Generation of Insights. MIS Quarterly: Management Information Systems 37, 471–482 (2013)
35. Remane, G., Hanelt, A., Nickerson, R., M. Kolbe, L.: Discovering Digital Business Models in Traditional Industries. Journal of Business Strategy 38, 41–51 (2017)
36. Remane, G., Nickerson, R.C., Hanelt, A., Tesch, J.F., Kolbe, L.M.: A Taxonomy of Carsharing Business Models. In: Proceedings of the 37th International Conference on Information Systems (2016)
37. Chandra Kruse, L., Seidel, S., Purao, S.: Making Use of Design Principles. In: Proceedings of the 11th International Conference on Design Science Research in Information Systems and Technology, pp. 37–51 (2016)
38. Chandra Kruse, L., Seidel, S.: Tensions in Design Principle Formulation and Reuse. In: Proceedings of the 12th International Conference on Design Science Research in Information Systems and Technology (2017)
39. McAdams, D.A.: Identification and Codification of Principles for Functional Tolerance Design. Journal of Engineering Design 14, 355–375 (2003)
40. Fu, K.K., Yang, M.C., Wood, K.L.: Design Principles: The Foundation of Design. Proceedings of the ASME Design Engineering Technical Conference 7 (2015)
41. Chandra Kruse, L., Seidel, S., Gregor, S.: Prescriptive Knowledge in IS Research: Conceptualizing Design Principles in Terms of Materiality, Action, and Boundary Conditions. In: 2015 48th Hawaii International Conference on System Sciences, pp. 4039– 4048 (2015)
42. van den Akker, J.: Principles and Methods of Development Research. In: Design approaches and tools in education and training, pp. 1–14. Kluwer Academic Publishers (1999)
43. Glaser, B.G.: Remodeling Grounded Theory. Historical Social Research, Supplement, 47– 68 (2007)
44. Wiesche, M., Jurisch, M.C., Yetton, P., Krcmar, H.: Grounded Theory Methodology in Information Systems Research. MIS Quarterly 41, 685–701 (2017)
45. Gregor, S., Jones, D.: The Anatomy of a Design Theory. Journal of the Association of Information Systems 8, 312–335 (2007)
46. Mudambi, S.M., Schuff, D.: What makes a helpful review? A study of customer reviews on Amazon. com. MIS Quarterly 34, 185–200 (2010)
47. Popescu, A.-M., Etzioni, O.: Extracting Product Features and Opinions from Reviews. In: Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing, pp. 339–346. Association for Computational Linguistics, Stroudsburg, PA, USA (2005)
48. Hu, M., Liu, B.: Mining and summarizing customer reviews. In: Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 168–177 (2004)
49. Capterra: Capterra – Route Planning Software, https://www.capterra.com.de/directory/30944/route-planning/software
50. Cochran, W.G.: Sampling Techniques. Wiley India Pvt. Limited (2007)
51. Corbin, J.M., Strauss, A.: Grounded theory research: Procedures, canons, and evaluative criteria. Qualitative Sociology 13, 3–21 (1990)
52. Urquhart, C., Fernandez, W.: Grounded theory method: The researcher as blank slate and other myths. In: Proceedings of the 21st International Conference on Information Systems (2006)
53. Koppenhagen, N., Gaß, O., Müller, B.: Design Science Research in Action – Anatomy of Success Critical Activities for Rigor and Relevance. In: Proceedings of the 20th European Conference on Information Systems, pp. 1–12 (2012)
54. Bowen, G.A.: Naturalistic inquiry and the saturation concept: a research note. Qualitative research 8, 137–152 (2008)
55. Strauss, A.L.: Qualitative Analysis for Social Scientists. Cambridge University Press (1987)
56. Lee, A.S., Baskerville, R.L.: Generalizing Generalizability in Information Systems Research. Information Systems Research 14, 221-243+315 (2003)
57. Urquhart, C.: An encounter with grounded theory: Tackling the practical and philosophical issues. In: Qualitative research in IS: Issues and trends, pp. 104–140. IGI Global (2001)
58. Markus, M.L., Majchrzak, A., Gasser, L.: A Design Theory for Systems That Support Emergent Knowledge Processes. MIS Quarterly: Management Information Systems 26, 179–212 (2002)
59. Walls, J.G., G, J., Widmeyer, R, G., Sawy, O., A, O.: Building an Information System Design Theory for Vigilant EIS, 36-59 (1992)
60. Göbel, H., Cronholm, S.: Nascent Design Principles Enabling Digital Service Platforms. In: Proceedings of the 11th International Conference on Design Science Research in Information Systems and Technology, pp. 52–67 (2016)
61. Gero, J.S.: Design Prototypes: A Knowledge Representation Schema for Design. AI Mag 11, 26–36 (1990)

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