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Management science in the era of smart consumer products: challenges and research perspectives

Author

Listed:
  • Herbert Dawid

    (Bielefeld University)

  • Reinhold Decker

    (Bielefeld University)

  • Thomas Hermann

    (Bielefeld University)

  • Hermann Jahnke

    (Bielefeld University)

  • Wilhelm Klat

    (Bielefeld University)

  • Rolf König

    (Bielefeld University)

  • Christian Stummer

    (Bielefeld University)

Abstract

Smart products not only provide novel functionalities, but also may establish new business models, markets, or distribution channels, strengthen relationships with consumers, and/or add smart remote services. While many technical obstacles of such products have already been overcome, the broad market dissemination of smart products still poses some vital managerial challenges for decision makers. In this paper, we outline the technical potential and future trends of smart consumer products, discuss economic challenges in four scopes, namely, preference-based new product development, market analysis, supply chain design, and industry development, and, in particular, we highlight research perspectives for management science in this promising field.

Suggested Citation

  • Herbert Dawid & Reinhold Decker & Thomas Hermann & Hermann Jahnke & Wilhelm Klat & Rolf König & Christian Stummer, 2017. "Management science in the era of smart consumer products: challenges and research perspectives," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(1), pages 203-230, March.
  • Handle: RePEc:spr:cejnor:v:25:y:2017:i:1:d:10.1007_s10100-016-0436-9
    DOI: 10.1007/s10100-016-0436-9
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    as
    1. V. Krishnan & Saurabh Gupta, 2001. "Appropriateness and Impact of Platform-Based Product Development," Management Science, INFORMS, vol. 47(1), pages 52-68, January.
    2. John A. Norton & Frank M. Bass, 1987. "A Diffusion Theory Model of Adoption and Substitution for Successive Generations of High-Technology Products," Management Science, INFORMS, vol. 33(9), pages 1069-1086, September.
    3. Kuno J.M. Huisman & Peter M. Kort, 2015. "Strategic capacity investment under uncertainty," RAND Journal of Economics, RAND Corporation, vol. 46(2), pages 376-408, June.
    4. Dirk Czarnitzki & Andrew A. Toole, 2011. "Patent Protection, Market Uncertainty, and R&D Investment," The Review of Economics and Statistics, MIT Press, vol. 93(1), pages 147-159, February.
    5. Handfield, Robert & Walton, Steven V. & Sroufe, Robert & Melnyk, Steven A., 2002. "Applying environmental criteria to supplier assessment: A study in the application of the Analytical Hierarchy Process," European Journal of Operational Research, Elsevier, vol. 141(1), pages 70-87, August.
    6. Jayashankar M. Swaminathan & Sridhar R. Tayur, 2003. "Models for Supply Chains in E-Business," Management Science, INFORMS, vol. 49(10), pages 1387-1406, October.
    7. van Bekkum, Sjoerd & Pennings, Enrico & Smit, Han, 2009. "A real options perspective on R&D portfolio diversification," Research Policy, Elsevier, vol. 38(7), pages 1150-1158, September.
    8. Eduardo S. Schwartz, 2004. "Patents and R&D as Real Options," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 33(1), pages 23-54, February.
    9. Utterback, James M & Abernathy, William J, 1975. "A dynamic model of process and product innovation," Omega, Elsevier, vol. 3(6), pages 639-656, December.
    10. Eugene W. Anderson & Claes Fornell & Roland T. Rust, 1997. "Customer Satisfaction, Productivity, and Profitability: Differences Between Goods and Services," Marketing Science, INFORMS, vol. 16(2), pages 129-145.
    11. Stummer, Christian & Kiesling, Elmar & Günther, Markus & Vetschera, Rudolf, 2015. "Innovation diffusion of repeat purchase products in a competitive market: An agent-based simulation approach," European Journal of Operational Research, Elsevier, vol. 245(1), pages 157-167.
    12. Elmar Kiesling & Markus Günther & Christian Stummer & Lea Wakolbinger, 2012. "Agent-based simulation of innovation diffusion: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(2), pages 183-230, June.
    13. Decker, Reinhold & Trusov, Michael, 2010. "Estimating aggregate consumer preferences from online product reviews," International Journal of Research in Marketing, Elsevier, vol. 27(4), pages 293-307.
    14. Klepper, Steven, 1996. "Entry, Exit, Growth, and Innovation over the Product Life Cycle," American Economic Review, American Economic Association, vol. 86(3), pages 562-583, June.
    15. Mollick, Ethan, 2014. "The dynamics of crowdfunding: An exploratory study," Journal of Business Venturing, Elsevier, vol. 29(1), pages 1-16.
    16. Lea Sonderegger-Wakolbinger & Christian Stummer, 2015. "An agent-based simulation of customer multi-channel choice behavior," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(2), pages 459-477, June.
    17. Dawid, Herbert & MacLeod, W. Bentley, 2008. "Hold-up and the evolution of investment and bargaining norms," Games and Economic Behavior, Elsevier, vol. 62(1), pages 26-52, January.
    18. Gérard P. Cachon & Robert Swinney, 2011. "The Value of Fast Fashion: Quick Response, Enhanced Design, and Strategic Consumer Behavior," Management Science, INFORMS, vol. 57(4), pages 778-795, April.
    19. Sang-Hyun Kim & Serguei Netessine, 2013. "Collaborative Cost Reduction and Component Procurement Under Information Asymmetry," Management Science, INFORMS, vol. 59(1), pages 189-206, November.
    20. Malerba, Franco & Nelson, Richard & Orsenigo, Luigi & Winter, Sidney, 2001. "Competition and industrial policies in a 'history friendly' model of the evolution of the computer industry," International Journal of Industrial Organization, Elsevier, vol. 19(5), pages 635-664, April.
    21. Wendy W. Moe & David A. Schweidel, 2012. "Online Product Opinions: Incidence, Evaluation, and Evolution," Marketing Science, INFORMS, vol. 31(3), pages 372-386, May.
    22. Herbert Dawid & Philipp Harting, 2012. "Capturing Firm Behavior in Agent-based Models of Industry Evolution and Macroeconomic Dynamics," Chapters, in: Guido Buenstorf (ed.), Evolution, Organization and Economic Behavior, chapter 6, Edward Elgar Publishing.
    23. M Günther & C Stummer & L M Wakolbinger & M Wildpaner, 2011. "An agent-based simulation approach for the new product diffusion of a novel biomass fuel," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(1), pages 12-20, January.
    24. Lea M. Wakolbinger & Christian Stummer & Markus Günther, 2013. "Market Introduction And Diffusion Of New Products: Recent Developments In Agent-Based Modeling," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 10(05), pages 1-19.
    25. Matthias Ehrgott & Xavier Gandibleux, 2004. "Approximative solution methods for multiobjective combinatorial optimization," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 12(1), pages 1-63, June.
    26. Malerba, Franco, et al, 1999. "'History-Friendly' Models of Industry Evolution: The Computer Industry," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 8(1), pages 3-40, March.
    27. Hall, Bronwyn & Van Reenen, John, 2000. "How effective are fiscal incentives for R&D? A review of the evidence," Research Policy, Elsevier, vol. 29(4-5), pages 449-469, April.
    28. Saaty, Thomas L., 2003. "Decision-making with the AHP: Why is the principal eigenvector necessary," European Journal of Operational Research, Elsevier, vol. 145(1), pages 85-91, February.
    29. James Agarwal & Wayne DeSarbo & Naresh K. Malhotra & Vithala Rao, 2015. "An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 19-40, March.
    30. Martin Zsifkovits & Markus Günther, 2015. "Simulating resistances in innovation diffusion over multiple generations: an agent-based approach for fuel-cell vehicles," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(2), pages 501-522, June.
    31. Frank M. Bass & Trichy V. Krishnan & Dipak C. Jain, 1994. "Why the Bass Model Fits without Decision Variables," Marketing Science, INFORMS, vol. 13(3), pages 203-223.
    32. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    33. Luca Colombo & Herbert Dawid & Kordian Kabus, 2012. "When do thick venture capital markets foster innovation? An evolutionary analysis," Journal of Evolutionary Economics, Springer, vol. 22(1), pages 79-108, January.
    34. von der Gracht, Heiko A. & Stillings, Christopher, 2013. "An innovation-focused scenario process — A case from the materials producing industry," Technological Forecasting and Social Change, Elsevier, vol. 80(4), pages 599-610.
    35. Herbert Dawid & Marc Reimann, 2011. "Diversification: a road to inefficiency in product innovations?," Journal of Evolutionary Economics, Springer, vol. 21(2), pages 191-229, May.
    36. Ananth V. Iyer & Leroy B. Schwarz & Stefanos A. Zenios, 2005. "A Principal-Agent Model for Product Specification and Production," Management Science, INFORMS, vol. 51(1), pages 106-119, January.
    37. Guangwen Kong & Sampath Rajagopalan & Hao Zhang, 2013. "Revenue Sharing and Information Leakage in a Supply Chain," Management Science, INFORMS, vol. 59(3), pages 556-572, November.
    38. David S. Evans & Andrei Hagiu & Richard Schmalensee, 2005. "A Survey of the Economic Role of Software Platforms in Computer-based Industries," CESifo Economic Studies, CESifo, vol. 51(2-3), pages 189-224.
    39. Frank M. Bass & Kent Gordon & Teresa L. Ferguson & Mary Lou Githens, 2001. "DIRECTV: Forecasting Diffusion of a New Technology Prior to Product Launch," Interfaces, INFORMS, vol. 31(3_supplem), pages 82-93, June.
    40. Meissner, Philip & Wulf, Torsten, 2013. "Cognitive benefits of scenario planning: Its impact on biases and decision quality," Technological Forecasting and Social Change, Elsevier, vol. 80(4), pages 801-814.
    41. Rijsdijk, S.A. & Hultink, E.J. & Diamantopoulos, A., 2007. "Product Intelligence: Its Conceptualization, Measurement and Impact on Consumer Satisfaction," ERIM Report Series Research in Management ERS-2007-006-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    42. Garcia, Rosanna & Rummel, Paul & Hauser, John, 2007. "Validating agent-based marketing models through conjoint analysis," Journal of Business Research, Elsevier, vol. 60(8), pages 848-857, August.
    43. Kurt Gaubinger & Michael Rabl & Scott Swan & Thomas Werani, 2015. "Innovation and Product Management," Springer Texts in Business and Economics, Springer, edition 127, number 978-3-642-54376-0, August.
    44. Franco Malerba & Luigi Orsenigo, 2002. "Innovation and market structure in the dynamics of the pharmaceutical industry and biotechnology: towards a history-friendly model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(4), pages 667-703, August.
    45. Peres, Renana & Muller, Eitan & Mahajan, Vijay, 2010. "Innovation diffusion and new product growth models: A critical review and research directions," International Journal of Research in Marketing, Elsevier, vol. 27(2), pages 91-106.
    46. Wang, Ge & Huang, Samuel H. & Dismukes, John P., 2004. "Product-driven supply chain selection using integrated multi-criteria decision-making methodology," International Journal of Production Economics, Elsevier, vol. 91(1), pages 1-15, September.
    47. Phelps, R. & Chan, C. & Kapsalis, S. C., 2001. "Does scenario planning affect performance? Two exploratory studies," Journal of Business Research, Elsevier, vol. 51(3), pages 223-232, March.
    48. William S. Lovejoy, 2010. "Bargaining Chains," Management Science, INFORMS, vol. 56(12), pages 2282-2301, December.
    49. Zhengrui Jiang & Dipak C. Jain, 2012. "A Generalized Norton-Bass Model for Multigeneration Diffusion," Management Science, INFORMS, vol. 58(10), pages 1887-1897, October.
    50. Bruce Robinson & Chet Lakhani, 1975. "Dynamic Price Models for New-Product Planning," Management Science, INFORMS, vol. 21(10), pages 1113-1122, June.
    51. Giorgio Fagiolo & Alessio Moneta & Paul Windrum, 2007. "A Critical Guide to Empirical Validation of Agent-Based Models in Economics: Methodologies, Procedures, and Open Problems," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 195-226, October.
    52. David Godes & José C. Silva, 2012. "Sequential and Temporal Dynamics of Online Opinion," Marketing Science, INFORMS, vol. 31(3), pages 448-473, May.
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