Success factors for fostering a digital transformation in manufacturing companies

References

• Baird, A., & Raghu, T. S. (2015). Associating consumer perceived value with business models for digital services. European Journal of Information Systems, 24(1), 4–22. doi: 10.1057/ejis.2013.12
   Web of Science ®Google Scholar
• Baker, J. (2012). The technology–organization–environment Framework. In Y. K. Dwivedi, M. R. Wade, and S. L. Schneberger (Eds.), Information systems theory: Explaining and predicting our digital society (Vol.1, pp. 231–245). Integrated Series in Information Systems. New York, NY: Springer. doi:10.1007/978-1-4419-6108-2_12
   Google Scholar
• Ballantine, J., Bonner, M., Levy, M., Martin, A., Munro, I., & Powell, P. L. (1996). The 3-D model of information systems success: The search for the dependent variable continues. Information Resources Management Journal, 9(4), 5–15. doi: 10.4018/irmj.1996100101
   Google Scholar
• Banker, R., Mitra, S., & Sambamurthy, V. (2011). The effects of digital trading platforms on commodity prices in agricultural supply chains. Management Information Systems Quarterly, 35, 599–611.
   Web of Science ®Google Scholar
• Benlian, A., Hilkert, D., & Hess, T. (2015). How open is this platform? The meaning and measurement of platform openness from the complementors’ perspective. Journal of Information Technology, 30(3), 209–228. doi: 10.1057/jit.2015.6
   Web of Science ®Google Scholar
• Bharadwaj, A., El Sawy, O., Pavlou, P., & Venkatraman, N. (2013). Digital business strategy: Toward a next generation of insights. MIS Quarterly, 37(2), 471–482. doi: 10.25300/MISQ/2013/37:2.3
   Web of Science ®Google Scholar
• Boyton, A. C., & Zmud, R. W. (1984). An assessment of critical success factors. Sloan Management Review, 25, 17–27.
   Google Scholar
• Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. New York, NY: W. W. Norton & Company.
   Google Scholar
• Brynjolfsson, E., & McAfee, A. (2011). Race against the machine. Lexington, MA: Digital Frontier.
   Google Scholar
• Chandler, A. D. (1962). Strategy and structure: Chapters in the history of the industrial enterprise. Cambridge, MA: M.I.T. Press. doi: 10.1086/ahr/68.1.158
   Google Scholar
• Chang, T.-C., & Wysk, R. A. (1997). Computer-aided manufacturing, 2nd ed. Upper Saddle River, NJ: Prentice Hall PTR.
   Google Scholar
• Christensen, C. M., Baumann, H., Ruggles, R., & Sadtler, T. M. (2006). Disruptive innovation for social change. Harvard Business Review, 84, 94–101.
   PubMed Web of Science ®Google Scholar
• Constantiou, I. D., & Kallinikos, J. (2015). New games, new rules: Big data and the changing context of strategy. Journal of Information Technology, 30(1), 44–57. doi: 10.1057/jit.2014.17
   Web of Science ®Google Scholar
• Corbin, J., & Strauss, A. (1990). Grounded theory research: Procedures, canons and evaluative criteria. Zeitschrift für Soziologie, 19, 418–427. doi: 10.1007/BF00988593
   Web of Science ®Google Scholar
• Creswell, J. W. (2015). A concise introduction to mixed methods research. Los Angeles, CA: SAGE.
   Google Scholar
• DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean Model of information systems success: A ten-year update. Journal of Management Information Systems, 19, 9–30.
   Web of Science ®Google Scholar
• DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60–95. doi: 10.1287/isre.3.1.60
   Web of Science ®Google Scholar
• Devaraj, S., & Kohli, R. (2003). Performance Impacts of information technology: Is actual usage the missing link? Management Science, 49, 60–95.
   Web of Science ®Google Scholar
• Devece, C., Palacios-Marqués, D., Galindo-Martín, M.-Á., & Llopis-Albert, C. (2017). Information systems strategy and its relationship with innovation differentiation and organizational performance. Information Systems Management, 34(3), 250–264. doi: 10.1080/10580530.2017.1330002
   Web of Science ®Google Scholar
• Dremel, C. (2017). Barriers to the adoption of big data analytics in the automotive sector. In: Proceedings of AMCIS, Boston, MA.
   Google Scholar
• Dubé, L., & Paré, G. (2003). Rigor in information systems positivist case research: Current practices, trends, and recommendations. MIS Quarterly, 27, 597–636. doi:10.2307/30036550[Mismatch]
   Web of Science ®Google Scholar
• Evans, P. C., & Annuziata, M. (2012). Industrial Internet: Pushing the Boundaries of Minds and Machines, General Electric.
   Google Scholar
• Fitzgerald, M., Kruschwitz, N., Bonnet, D., & Welch, M. (2014). Embracing digital technology: A new strategic imperative. MIT Sloan Management Review, 55, 1–12.
   Google Scholar
• Gable, G. G., Sedera, D., & Chan, T. (2008). Re-conceptualizing information system success : The IS-impact measurement model. Journal of the Association for Information Systems, 9(7), 377–408. doi: 10.17705/1jais.00164
   Web of Science ®Google Scholar
• Galvagno, M., & Dalli, D. (2014). Theory of value co-creation: A systematic literature review. Managing Service Quality: An International Journal, 24(6), 643–683. doi: 10.1108/MSQ-09-2013-0187
   Google Scholar
• Gersch, M., Goeke, C., & Freiling, J. (2009). Empirische Herausforderungen (co-) evolutorischer Forschungskonzeptionen-Anstösse für eine Methodenreflexion im Rahmen der empirischen Kompetenzforschung. In: Jahrbuch Strategisches Kompetenz Management (pp. 105–134). München: Rainer Hamp Verlag.
   Google Scholar
• Graebner, M. E., Martin, J. A., & Roundy, P. T. (2012). Qualitative data: Cooking without a recipe. Strategic Organization, 10(3), 276–284. doi: 10.1177/1476127012452821
   Web of Science ®Google Scholar
• Grover, V., Jeong, S. R., & Segars, A. H. (1996). Information systems effectiveness: The construct space and patters of application. Information & Management, 31, 177–191. doi:10.1016/S0378-7206(96)01079-8
   Web of Science ®Google Scholar
• Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645–1660. doi: 10.1016/j.future.2013.01.010
   Web of Science ®Google Scholar
• Haller, S., Karnouskos, S., & Schroth, C. (2009). The internet of things in an enterprise context. In: J. Domingue, D. Fensel, and P. Traverso (Eds.), Future Internet – FIS 2008 (pp. 14–28). Berlin, Heidelberg: Springer.
   Google Scholar
• Hamilton, S., & Chervany, N. L. (1981). Evaluating Information system effectiveness—Part I: Comparing evaluation approaches. MIS Quarterly, 5(3), 55–69. doi: 10.2307/249291
   Web of Science ®Google Scholar
• Heng, S. (2014). Industry 4.0: Upgrading of Germany’s Industrial Capabilities on the Horizon (SSRN Scholarly Paper No. ID 2656608). Social Science Research Network, Rochester, NY.
   Google Scholar
• Henriette, E., Feki, M., & Boughzala, I. (2016). Digital Transformation Challenges. In: Proceedings of the Mediterranean Conference on Information Systems (MCIS), Paphos, Cyprus. pp. 1–7.
   Google Scholar
• Hess, T., Matt, C., Benlian, A., & Wiesböck, F. (2016). Options for formulating a digital transformation strategy. MIS Quarterly Executive, 15, 123–139.
   Web of Science ®Google Scholar
• Hirschheim, R. (2007). Introduction to the special issue on" Quo Vadis TAM-Issues and Reflections on Technology Acceptance Research". Journal of the Association for Information Systems, 8(4), 203–205.
   Web of Science ®Google Scholar
• Hirsch-Kreinsen, H. (2016). Digitization of industrial work: Development paths and prospects. Journal for Labour Market Research, 49(1), 1–14. doi: 10.1007/s12651-016-0200-6
   Web of Science ®Google Scholar
• Hurrle, B., & Kieser, A. (2005). Sind key informants verlässliche Datenlieferanten? Die Betriebswirtschaft, 65, 584.
   Google Scholar
• Iivari, J. (2005). An empirical test of the DeLone-McLean model of information system success. ACM Sigmis Database, 36(2), 8–27. doi: 10.1145/1066149.1066152
   Google Scholar
• Kagermann, H. (2014). Chancen von Industrie 4.0 nutzen. In: T. Bauernhansl, M. ten Hompel, and B. Vogel-Heuser (Eds.). Industrie 4.0 in Produktion, Automatisierung und Logistik (pp. 603–614). Fachmedien, Wiesbaden: Springer. doi:10.1007/978-3-658-04682-8_31
   Google Scholar
• Kagermann, H., Riemensperger, F., Hoke, D., Helbig, J., Stocksmeier, D., Wahlster, W., … Schweer, D. (2014). SMART SERVICE WELT Umsetzungsempfehlungen für das Zukunftsprojekt Internetbasierte Dienste für die Wirtschaft. acatech – Deutsche Akademie der Technikwissenschaften, München.
   Google Scholar
• Kagermann, H., Wahlster, W., & Helbig, J. (2013). Recommendations for Implementing the Strategic Initiative Industrie 4.0. acatech – National Academy of Science and Engineering.
   Google Scholar
• Kane, G. C., Palmer, D., Nguyen Phillips, A., Kiron, D., & Buckley, N. (2015). Strategy, not technology, drives digital transformation. London: MIT Sloan Management Review and Deloitte University Press.
   Google Scholar
• Karimi, J., & Walter, Z. (2015). The role of dynamic capabilities in responding to digital disruption: A factor-based study of the newspaper industry. Journal of Management Information Systems, 32(1), 39–81. doi: 10.1080/07421222.2015.1029380
   Web of Science ®Google Scholar
• Kuan, K. K. Y., & Chau, P. Y. K. (2001). A perception-based model for EDI adoption in small businesses using a technology–organization–environment framework. Information & Management, 38, 507–521. doi: 10.1016/S0378-7206(01)00073-8
   Web of Science ®Google Scholar
• Laudien, S. M. (2016). Competence-based strategic management—A management concept that faces new challenges. Journal of Competence-Based Strategic Management, 8, 5–9.
   Google Scholar
• Lerch, C., Jäger, A., & Maloca, S. (2017). Wie digital ist Deutschlands Industrie wirklich? Arbeit und Produktivität in der digitalen Produktion (No. 71), Mitteilungen aus der ISI-Erhebung zur “Modernisierung der Produktion.” Fraunhofer ISI, Karlsruhe.
   Google Scholar
• Liere-Netheler, K., Vogelsang, K., Packmohr, S., & Hoppe, U. (2018). Towards a framework for digital transformation success in manufacturing. In: Proceedings of the 26th European Conference on Information Systems, Portsmouth, UK.
   Google Scholar
• Lucke, D., Constantinescu, C., & Westkämper, E. (2008). Smart factory—A step towards the next generation of manufacturing. In: M. Mitsuishi, K. Ueda, and F. Kimura (Eds.) Manufacturing Systems and Technologies for the New Frontier (pp. 115–118). London: Springer.
   Google Scholar
• Markides, C. (2006). Disruptive innovation: In need of better theory. Journal of Product Innovation Management, 23(1), 19–25. doi: 10.1111/j.1540-5885.2005.00177.x
   Web of Science ®Google Scholar
• Markus, M. L., & Lee, A. S. (2000). Special issue on intensive research in information systems: Using qualitative, interpretive, and case methods to study information technology. MIS Quarterly, 24, 473–474.
   Google Scholar
• Matt, C., Hess, T., & Benlian, A. (2015). Digital transformation strategies. Business & Information Systems Engineering, 57, 339–343. doi: 10.1007/s12599-015-0401-5
   Web of Science ®Google Scholar
• Mattern, F. (2005). Die technische Basis für das Internet der Dinge. In: E. Fleisch and F. Mattern (Eds.) Das Internet Der Dinge (pp. 39–66). Berlin: Springer.
   Google Scholar
• Mayring, P. (2014). Qualitative Content Analysis: Theoretical Foundation, Basic Procedures and Software Solution. SSOAR, Klagenfurt.
   Google Scholar
• Mishra, A. N., Konana, P., & Barua, A. (2007). Antecedents and consequences of internet use in procurement: An empirical investigation of US manufacturing firms. Information Systems Research, 18(1), 103–120. doi: 10.1287/isre.1070.0115
   Web of Science ®Google Scholar
• Mithas, S., Tafti, A., & Mitchell, W. (2013). How a firm’s competitive environment and digital strategy posture influence digital business strategy. MIS Quarterly, 37(2), 511–536. doi: 10.25300/MISQ/2013/37.2.09
   Web of Science ®Google Scholar
• Nagy, D., Schuessler, J., & Dubinsky, A. (2016). Defining and identifying disruptive innovations. Industrial Marketing Management, 57, 119–126. doi: 10.1016/j.indmarman.2015.11.017
   Web of Science ®Google Scholar
• Nicolai, A., & Kieser, A. (2002). Trotz eklatanter Erfolglosigkeit: Die Erfolgsfaktorenforschung weiter auf Erfolgskurs. Die Betriebswirtschaft, 62, 579–596.
   Google Scholar
• Nolan, R. L. (2012). Ubiquitous IT: The case of the Boeing 787 and implications for strategic IT research. The Journal of Strategic Information Systems, 20th Anniversary Special Issue, 21, R1–102. https://doi.org/10.1016/j.jsis.2011.12.003
   Web of Science ®Google Scholar
• Ondrus, J., Gannamaneni, A., & Lyytinen, K. (2015). The impact of openness on the market potential of multi-sided platforms: A case study of mobile payment platforms. Journal of Information Technology, 30(3), 260–275. doi: 10.1057/jit.2015.7
   Web of Science ®Google Scholar
• Orlikowski, W. J. (2000). Using technology and constituting structures: A practice lens for studying technology in organizations. Organization Science, 11(4), 404–428. doi: 10.1287/orsc.11.4.404.14600
   Web of Science ®Google Scholar
• Palvia, P., Leary, D., Mao, E., Midha, V., Pinjani, P., & Salam, A. F. (2004). Research methodologies in MIS: An update. Communications of the Association for Information Systems, 14, 526–542.
   Google Scholar
• Pan, M.-J., & Jang, W.-Y. (2008). Determinants of the adoption of enterprise resource planning within the technology-organization-environment framework: Taiwan’s communications industry. Journal of Computer Information Systems, 48, 94–102. doi:10.1080/08874417.2008.11646025
   Web of Science ®Google Scholar
• Radhakrishnan, P., Subramanyan, S., & Raju, V. (2008). CAD/CAM/CIM. New Age International, New Delhi.
   Google Scholar
• Roth, A. (Ed.) (2016). Einführung und Umsetzung von Industrie 4.0. Berlin, Heidelberg: Springer.
   Google Scholar
• Sarker, S., Xiao, X., & Beaulieu, T. (2013). Qualitative studies in information systems: A critical review and some guiding principles. MIS Quarterly 37, iii–xviii.
   Google Scholar
• Schwab, K. (2017). The fourth industrial revolution, First U.S. ed. New York: Crown Business.
   Google Scholar
• Schweer, D., & Sahl, J. C. (2017). The digital transformation of industry–The benefit for germany. In: F. Abolhassan (Ed.). The drivers of digital transformation (pp. 23–31). Cham: Springer.
   Google Scholar
• Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean Model of IS success. Information Systems Research, 8(3), 240–253. doi: 10.1287/isre.8.3.240
   Web of Science ®Google Scholar
• Seddon, P. B., Staples, S., Patnayakuni, R., & Bowtell, M. (1999). Dimensions of Information Systems success. Communications of the AIS, 2,Article 20.
   Google Scholar
• Selander, L., Henfridsson, O., & Svahn, F. (2013). Capability search and redeem across digital ecosystems. Journal of Information Technology, 28(3), 183–197. doi: 10.1057/jit.2013.14
   Web of Science ®Google Scholar
• Soh, C., & Markus, M. L. (1995). How IT creates business value: A process theory synthesis. In: Proceedings of the International Conference on Information Systems (ICIS), Amsterdam, Netherlands, pp. 29–41.
   Google Scholar
• Steinhueser, M., Richter, A., & Smolnik, S. (2015). How to bridge the boundary? Determinants of inter-organizational social software usage. Electronic Markets, 25(4), 267–281. doi: 10.1007/s12525-015-0192-z
   Web of Science ®Google Scholar
• Stock, T., & Seliger, G. (2016). Opportunities of sustainable manufacturing in industry 4.0. Procedia CIRP, 40, 536–541. doi: 10.1016/j.procir.2016.01.129
   Google Scholar
• Timmermans, S., & Tavory, I. (2012). Theory construction in qualitative research: From grounded theory to abductive analysis. Sociological Theory, 30(3), 167–186. doi: 10.1177/0735275112457914
   Web of Science ®Google Scholar
• Tornatzky, L. G., & Fleischer, M. (1990). The processes of technological innovation, issues in organization and management series. Lexington Books: Lexington, MA.
   Google Scholar
• Urbach, N., Smolnik, S., & Riempp, G. (2009). The state of research on information systems success: A review of existing multidimensional approaches. Business & Information Systems Engineering, 1, 315–325. doi: 10.1007/s12599-009-0059-y
   Web of Science ®Google Scholar
• Vogelsang, K., Steinhüser, M., & Hoppe, U. (2013). A qualitative approach to examine technology acceptance. In: Proceedings of the International Conference on Information Systems (ICIS), Milan.
   Google Scholar
• Walsham, G. (2006). Doing interpretive research. European Journal of Information Systems, 15(3), 320–330. doi: 10.1057/palgrave.ejis.3000589
   Web of Science ®Google Scholar
• Woodard, C. J., Ramasubbu, N., Tschang, F., & Sambamurthy, V. (2013). Design capital and design moves: The logic of digital business strategy. MIS Quarterly, 37(2), 537–564. doi: 10.25300/MISQ/2013/37.2.10
   Web of Science ®Google Scholar