IT architecture flexibility and IT governance decentralisation as drivers of IT-enabled dynamic capabilities and competitive performance: The moderating effect of the external environment

References

• Ahammad, M. F., Tarba, S. Y., Frynas, J. G., & Scola, A. (2017). Integration of non‐market and market activities in cross‐border mergers and acquisitions. British Journal of Management, 28(4), 629–648. https://doi.org/10.1111/1467-8551.12228
   Web of Science ®Google Scholar
• Ashurst, C., Freer, A., Ekdahl, J., & Gibbons, C. (2012). Exploring IT-enabled innovation: A new paradigm? International Journal of Information Management, 32(4), 326–336. https://doi.org/10.1016/j.ijinfomgt.2012.05.006
   Web of Science ®Google Scholar
• Astrachan, C. B., Patel, V. K., & Wanzenried, G. (2014). A comparative study of CB-SEM and PLS-SEM for theory development in family firm research. Journal of Family Business Strategy, 5(1), 116–128. https://doi.org/10.1016/j.jfbs.2013.12.002
   Web of Science ®Google Scholar
• Augier, M., & Teece, D. J. (2006). Understanding complex organization: The role of know-how, internal structure, and human behavior in the evolution of capabilities. Industrial and Corporate Change, 15(2), 395–416. https://doi.org/10.1093/icc/dtl005
   Web of Science ®Google Scholar
• Augier, M., & Teece, D. J. (2009). Dynamic capabilities and the role of managers in business strategy and economic performance. Organization Science, 20(2), 410–421. https://doi.org/10.1287/orsc.1090.0424
   Web of Science ®Google Scholar
• Battleson, D. A., West, B. C., Kim, J., Ramesh, B., & Robinson, P. S. (2016). Achieving dynamic capabilities with cloud computing: An empirical investigation. European Journal of Information Systems, 25(3), 209–230. https://doi.org/10.1057/ejis.2015.12
   Web of Science ®Google Scholar
• Becker, J.-M., Klein, K., & Wetzels, M. (2012). Hierarchical latent variable models in PLS-SEM: Guidelines for using reflective-formative type models. Long Range Planning, 45(5–6), 359–394. https://doi.org/10.1016/j.lrp.2012.10.001
   Web of Science ®Google Scholar
• Becker, J.-M., Rai, A., Ringle, C. M., & Völckner, F. (2013). Discovering unobserved heterogeneity in structural equation models to avert validity threats. MIS Quarterly, 37(3), 665–694. https://doi.org/10.25300/MISQ/2013/37.3.01
   Web of Science ®Google Scholar
• Benitez, J., Castillo, A., Llorens, J., & Braojos, J. (2018). IT-enabled knowledge ambidexterity and innovation performance in small US firms: The moderator role of social media capability. Information & Management, 55(1), 131–143. https://doi.org/10.1016/j.im.2017.09.004
   Web of Science ®Google Scholar
• Besson, P., & Rowe, F. (2012). Strategizing information systems-enabled organizational transformation: A transdisciplinary review and new directions. The Journal of Strategic Information Systems, 21(2), 103–124. https://doi.org/10.1016/j.jsis.2012.05.001
   Web of Science ®Google Scholar
• Bharadwaj, A. (2000). A resource-based perspective on information technology capability and firm performance: An empirical investigation. MIS Quarterly, 24(1), 169–196. https://doi.org/10.2307/3250983
   Web of Science ®Google Scholar
• Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., & Venkatraman, N. V. (2013). Digital business strategy: Toward a next generation of insights. MIS Quarterly, 37(2), 471–482. https://doi.org/10.25300/MISQ/2013/37:2.3
   Web of Science ®Google Scholar
• Bharadwaj, S., Bharadwaj, A., & Bendoly, E. (2007). The performance effects of complementarities between information systems, marketing, manufacturing, and supply chain processes. Information Systems Research, 18(4), 437–453. https://doi.org/10.1287/isre.1070.0148
   Web of Science ®Google Scholar
• Bhatt, G., Emdad, A., Roberts, N., & Grover, V. (2010). Building and leveraging information in dynamic environments: The role of IT infrastructure flexibility as enabler of organizational responsiveness and competitive advantage. Information & Management, 47(7–8), 341–349. https://doi.org/10.1016/j.im.2010.08.001
   Web of Science ®Google Scholar
• Bidan, M., Rowe, F., & Truex, D. (2012). An empirical study of IS architectures in French SMEs: Integration approaches. European Journal of Information Systems, 21(3), 287–302. https://doi.org/10.1057/ejis.2012.12
   Web of Science ®Google Scholar
• Boh, W. F., & Yellin, D. (2006). Using enterprise architecture standards in managing information technology. Journal of Management Information Systems, 23(3), 163–207. https://doi.org/10.2753/MIS0742-1222230307
   Web of Science ®Google Scholar
• Bush, A. A., Tiwana, A., & Rai, A. (2010). Complementarities between product design modularity and IT infrastructure flexibility in IT-enabled supply chains. IEEE Transactions on Engineering Management, 57(2), 240–254. https://doi.org/10.1109/TEM.2010.2040741
   Web of Science ®Google Scholar
• Byrd, T. A., & Turner, D. E. (2000). Measuring the flexibility of information technology infrastructure: exploratory analysis of a construct. Journal of Management Information Systems, 17(1), 167–208. https://doi.org/10.1080/07421222.2000.11045632
   Web of Science ®Google Scholar
• Byrd, T. A., & Turner, D. E. (2001). An exploratory examination of the relationship between flexible IT infrastructure and competitive advantage. Information & Management, 39(1), 41–52. https://doi.org/10.1016/S0378-7206(01)00078-7
   Web of Science ®Google Scholar
• Capron, L., & Mitchell, W. (2009). Selection capability: How capability gaps and internal social frictions affect internal and external strategic renewal. Organization Science, 20(2), 294–312. https://doi.org/10.1287/orsc.1070.0328
   Web of Science ®Google Scholar
• Carrión, G. C., Henseler, J., Ringle, C. M., & Roldán, J. L. (2016). Prediction-oriented modeling in business research by means of PLS path modeling: Introduction to a JBR special section. Journal of Business Research, 69(10), 4545–4551. https://doi.org/10.1016/j.jbusres.2016.03.048
   Web of Science ®Google Scholar
• Carte, T. A., & Russell, C. J. (2003). In pursuit of moderation: Nine common errors and their solutions. MIS Quarterly, 27(3), 479–501. https://doi.org/10.2307/30036541
   Web of Science ®Google Scholar
• Chakravarty, A., Grewal, R., & Sambamurthy, V. (2013). Information technology competencies, organizational agility, and firm performance: Enabling and facilitating roles. Information Systems Research, 24(4), 976–997. https://doi.org/10.1287/isre.2013.0500
   Web of Science ®Google Scholar
• Chang, S.-J., Van Witteloostuijn, A., & Eden, L. (2010). From the editors: Common method variance in international business research. Journal of International Business Studies, 41(2), 178–184. https://doi.org/10.1057/jibs.2009.88
   Web of Science ®Google Scholar
• Chanopas, A., Krairit, D., & Ba Khang, D. (2006). Managing information technology infrastructure: A new flexibility framework. Management Research News, 29(10), 632–651. https://doi.org/10.1108/01409170610712335
   Google Scholar
• Chen, Y., Wang, Y., Nevo, S., Benitez, J., & Kou, G. (2017). Improving strategic flexibility with information technologies: Insights for firm performance in an emerging economy. Journal of Information Technology, 32(1), 10–25. https://doi.org/10.1057/jit.2015.26
   Web of Science ®Google Scholar
• Chen, Y., Wang, Y., Nevo, S., Jin, J., Wang, L., & Chow, W. S. (2014). IT capability and organizational performance: The roles of business process agility and environmental factors. European Journal of Information Systems, 23(3), 326–342. https://doi.org/10.1057/ejis.2013.4
   Web of Science ®Google Scholar
• Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295–336.
   Google Scholar
• Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14(2), 189–217. https://doi.org/10.1287/isre.14.2.189.16018
   Web of Science ®Google Scholar
• Choi, J., Nazareth, D. L., & Jain, H. K. (2010). Implementing service-oriented architecture in organizations. Journal of Management Information Systems, 26(4), 253–286. https://doi.org/10.2753/MIS0742-1222260409
   Web of Science ®Google Scholar
• Conboy, K., Mikalef, P., Dennehy, D., & Krogstie, J. (2020). Using business analytics to enhance dynamic capabilities in operations research: A case analysis and research agenda. European Journal of Operational Research, 281(3), 656–672. https://doi.org/10.1016/j.ejor.2019.06.051
   Web of Science ®Google Scholar
• Daugherty, P. J., Richey, R. G., Roath, A. S., Min, S., Chen, H., Arndt, A. D., & Genchev, S. E. (2006). Is collaboration paying off for firms? Business Horizons, 49(1), 61–70. https://doi.org/10.1016/j.bushor.2005.06.002
   Google Scholar
• Dayan, M., & Di Benedetto, C. A. (2010). The impact of structural and contextual factors on trust formation in product development teams. Industrial Marketing Management, 39(4), 691–703. https://doi.org/10.1016/j.indmarman.2010.01.001
   Web of Science ®Google Scholar
• de Waard, E. J., Volberda, H. W., & Soeters, J. (2012). How to support sensing capabilities in highly volatile situations. Journal of Management & Organization, 18(6), 774–794. https://doi.org/10.5172/jmo.2012.18.6.774
   Web of Science ®Google Scholar
• Demirkan, H., & Delen, D. (2013). Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud. Decision Support Systems, 55(1), 412–421. https://doi.org/10.1016/j.dss.2012.05.048
   Web of Science ®Google Scholar
• DeVellis, R. F. (2016). Scale development: Theory and applications. Sage publications.
   Google Scholar
• Dixon, S., Meyer, K., & Day, M. (2014). Building dynamic capabilities of adaptation and innovation: A study of micro-foundations in a transition economy. Long Range Planning, 47(4), 186–205. https://doi.org/10.1016/j.lrp.2013.08.011
   Web of Science ®Google Scholar
• Drnevich, P. L., & Croson, D. C. (2013). Information technology and business-level strategy: Toward an integrated theoretical perspective. MIS Quarterly, 37(2), 483–509. https://doi.org/10.25300/MISQ/2013/37.2.08
   Web of Science ®Google Scholar
• Drnevich, P. L., & Kriauciunas, A. P. (2011). Clarifying the conditions and limits of the contributions of ordinary and dynamic capabilities to relative firm performance. Strategic Management Journal, 32(3), 254–279. https://doi.org/10.1002/smj.882
   Web of Science ®Google Scholar
• Dutot, V., Bergeron, F., & Raymond, L. (2014). Information management for the internationalization of SMEs: An exploratory study based on a strategic alignment perspective. International Journal of Information Management, 34(5), 672–681. https://doi.org/10.1016/j.ijinfomgt.2014.06.006
   Web of Science ®Google Scholar
• Eisenhardt, K. M., & Brown, S. L. (1999). Patching: Restitching business portfolios in dynamic markets. Harvard Business Review, 77(3), 72–73. https://hbr.org/1999/05/patching-restitching-business-portfolios-in-dynamic-markets
   PubMed Web of Science ®Google Scholar
• El Sawy, O. A., Malhotra, A., Park, Y., & Pavlou, P. A. (2010). Research commentary—seeking the configurations of digital ecodynamics: It takes three to tango. Information Systems Research, 21(4), 835–848. https://doi.org/10.1287/isre.1100.0326
   Web of Science ®Google Scholar
• Enkel, E., & Heil, S. (2014). Preparing for distant collaboration: Antecedents to potential absorptive capacity in cross-industry innovation. Technovation, 34(4), 242–260. https://doi.org/10.1016/j.technovation.2014.01.010
   Web of Science ®Google Scholar
• Erl, T. (2008). SOA Design Patterns (paperback). Pearson Education.
   Google Scholar
• Estampe, D., Lamouri, S., Paris, J.-L., & Brahim-Djelloul, S. (2013). A framework for analysing supply chain performance evaluation models. International Journal of Production Economics, 142(2), 247–258. https://doi.org/10.1016/j.ijpe.2010.11.024
   Web of Science ®Google Scholar
• Fainshmidt, S., Pezeshkan, A., Lance Frazier, M., Nair, A., & Markowski, E. (2016). Dynamic capabilities and organizational performance: A meta‐analytic evaluation and extension. Journal of Management Studies, 53(8), 1348–1380. https://doi.org/10.1111/joms.12213
   Web of Science ®Google Scholar
• Farrell, A. M. (2010). Insufficient discriminant validity: A comment on Bove, Pervan, Beatty, and Shiu (2009). Journal of Business Research, 63(3), 324–327. https://doi.org/10.1016/j.jbusres.2009.05.003
   Web of Science ®Google Scholar
• Fink, L., & Neumann, S. (2009). Exploring the perceived business value of the flexibility enabled by information technology infrastructure. [Article]. Information & Management, 46(2), 90–99. http://search.ebscohost.com/login.aspx?direct=true&db=buh&AN=36769860&site=ehost-live
   Web of Science ®Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
   Web of Science ®Google Scholar
• Fuller, C. M., Simmering, M. J., Atinc, G., Atinc, Y., & Babin, B. J. (2016). Common methods variance detection in business research. Journal of Business Research, 69(8), 3192–3198. https://doi.org/10.1016/j.jbusres.2015.12.008
   Web of Science ®Google Scholar
• Galunic, D. C., & Eisenhardt, K. M. (2001). Architectural innovation and modular corporate forms. Academy of Management Journal, 44(6), 1229–1249. https://doi.org/10.5465/3069398
   Web of Science ®Google Scholar
• Garud, R., & Kumaraswamy, A. (1995). Technological and organizational designs for realizing economies of substitution. Strategic Management Journal, 16(S1), 93–109. https://doi.org/10.1002/smj.4250160919
   Web of Science ®Google Scholar
• Gosain, S., Malhotra, A., & El Sawy, O. A. (2004). Coordinating for flexibility in e-business supply chains. Journal of Management Information Systems, 21(3), 7–45. https://doi.org/10.1080/07421222.2004.11045816
   Web of Science ®Google Scholar
• Grover, V., & Kohli, R. (2012). Cocreating IT value: New capabilities and metrics for multifirm environments. MIS Quarterly, 36(1), 225. https://doi.org/10.2307/41410415
   Web of Science ®Google Scholar
• Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414–433. https://doi.org/10.1007/s11747-011-0261-6
   Web of Science ®Google Scholar
• Hair, J. J. F., & Hult, G. T. M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.
   Google Scholar
• Hair, J. J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.
   Google Scholar
• Han, J. H., Wang, Y., & Naim, M. (2017). Reconceptualization of information technology flexibility for supply chain management: An empirical study. International Journal of Production Economics, 187, 196–215. https://doi.org/10.1016/j.ijpe.2017.02.018
   Web of Science ®Google Scholar
• Hansen, M. T. (1999). The search-transfer problem: The role of weak ties in sharing knowledge across organization subunits. Administrative Science Quarterly, 44(1), 82–111. https://doi.org/10.2307/2667032
   Web of Science ®Google Scholar
• Hanseth, O., & Lyytinen, K. (2010). Design theory for dynamic complexity in information infrastructures: The case of building internet. Journal of Information Technology, 25(1), 1–19. https://doi.org/10.1057/jit.2009.19
   Web of Science ®Google Scholar
• Helfat, C. E., Finkelstein, S., Mitchell, W., Peteraf, M., Singh, H., Teece, D., & Winter, S. G. (2009). Dynamic capabilities: Understanding strategic change in organizations. John Wiley & Sons.
   Google Scholar
• Helfat, C. E., & Peteraf, M. A. (2009). Understanding dynamic capabilities: Progress along a developmental path. Sage publications Sage UK.
   Google Scholar
• Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management & Data Systems, 116(1), 2–20. https://doi.org/10.1108/IMDS-09-2015-0382
   Web of Science ®Google Scholar
• Hsu, J., Chiu, C.-M., Lowry, P. B., & Liang, T. P. (2017). Solving the interpretational-confounding and interpretational-ambiguity problems of formative construct modeling in behavioral research: Proposing a two-stage fixed-weight redundancy approach. Journal of the Association for Information Systems (JAIS), 19(7), 618–671.
   Web of Science ®Google Scholar
• Jarvis, C. B., MacKenzie, S. B., & Podsakoff, P. M. (2003). A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research, 30(2), 199–218. https://doi.org/10.1086/376806
   Web of Science ®Google Scholar
• Jiang, D., Jiang, L., London, J., Grover, V., & Sun, H. (2016). Taking Ownership of Borrowed Theories: The Case of Transaction Cost Theory. 37th International Conference on Information Systems (ICIS), Dublin, Ireland.
   Google Scholar
• Joachim, N., Beimborn, D., & Weitzel, T. (2013). The influence of SOA governance mechanisms on IT flexibility and service reuse. The Journal of Strategic Information Systems, 22(1), 86–101. https://doi.org/10.1016/j.jsis.2012.10.003
   Web of Science ®Google Scholar
• Joshi, K. D., Chi, L., Datta, A., & Han, S. (2010). Changing the competitive landscape: Continuous innovation through IT-enabled knowledge capabilities. Information Systems Research, 21(3), 472–495. https://doi.org/10.1287/isre.1100.0298
   Web of Science ®Google Scholar
• Kaganer, E., Carmel, E., Hirschheim, R., & Olsen, T. (2013). Managing the human cloud. MIT Sloan Management Review, 54(2), 23. https://sloanreview.mit.edu/article/managing-the-human-cloud/
   Web of Science ®Google Scholar
• Karim, S. (2006). Modularity in organizational structure: The reconfiguration of internally developed and acquired business units. Strategic Management Journal, 27(9), 799–823. https://doi.org/10.1002/smj.547
   Web of Science ®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. [Article]. Journal of Management Information Systems, 32(1), 39–81. http://search.ebscohost.com/login.aspx?direct=true&db=buh&AN=103669690&site=ehost-live
   Web of Science ®Google Scholar
• Kay, N. M. (2010). Dynamic capabilities as context: The role of decision, system and structure. Industrial and Corporate Change, 19(4), 1205–1223. https://doi.org/10.1093/icc/dtq028
   Web of Science ®Google Scholar
• Kim, G., Shin, B., Kim, K. K., & Lee, H. G. (2011). IT capabilities, process-oriented dynamic capabilities, and firm financial performance. Journal of the Association for Information Systems, 12(7), 487. https://doi.org/10.17705/1jais.00270
   Web of Science ®Google Scholar
• Kim, S., & Lee, H. (2006). The impact of organizational context and information technology on employee knowledge‐sharing capabilities. Public Administration Review, 66(3), 370–385. https://doi.org/10.1111/j.1540-6210.2006.00595.x
   Web of Science ®Google Scholar
• Kohli, R., & Grover, V. (2008). Business value of IT: An essay on expanding research directions to keep up with the times. Journal of the Association for Information Systems, 9(1), 23–39. https://doi.org/10.17705/1jais.00147
   Web of Science ®Google Scholar
• Kruchten, P., Obbink, H., & Stafford, J. (2006). The past, present, and future for software architecture. IEEE Software, 23(2), 22–30. https://doi.org/10.1109/MS.2006.59
   Web of Science ®Google Scholar
• Kumar, N., Stern, L. W., & Anderson, J. C. (1993). Conducting interorganizational research using key informants. Academy of Management Journal, 36(6), 1633–1651. https://doi.org/10.5465/256824
   Web of Science ®Google Scholar
• Kumar, R. L. (2004). A framework for assessing the business value of information technology infrastructures. Journal of Management Information Systems, 21(2), 11–32. https://doi.org/10.1080/07421222.2004.11045801
   Web of Science ®Google Scholar
• Langlois, R. N. (2002). Modularity in technology and organization. Journal of Economic Behavior & Organization, 49(1), 19–37. https://doi.org/10.1016/S0167-2681(02)00056-2
   Web of Science ®Google Scholar
• Li, D.-Y., & Liu, J. (2014). Dynamic capabilities, environmental dynamism, and competitive advantage: Evidence from China. Journal of Business Research, 67(1), 2793–2799. https://doi.org/10.1016/j.jbusres.2012.08.007
   Web of Science ®Google Scholar
• Li, J. J., & Zhou, K. Z. (2010). How foreign firms achieve competitive advantage in the Chinese emerging economy: Managerial ties and market orientation. Journal of Business Research, 63(8), 856–862. https://doi.org/10.1016/j.jbusres.2009.06.011
   Web of Science ®Google Scholar
• Limaj, E., Bernroider, E. W., & Choudrie, J. (2016). The impact of social information system governance, utilization, and capabilities on absorptive capacity and innovation: A case of Austrian SMEs. Information & Management, 53(3), 380–397. https://doi.org/10.1016/j.im.2015.12.003
   Web of Science ®Google Scholar
• Liu, H., Ke, W., Wei, K. K., & Hua, Z. (2013). The impact of IT capabilities on firm performance: The mediating roles of absorptive capacity and supply chain agility. [Article]. Decision Support Systems, 54(3), 1452–1462. http://search.ebscohost.com/login.aspx?direct=true&db=buh&AN=85813444&site=ehost-live
   Web of Science ®Google Scholar
• Lowry, P. B., & Gaskin, J. (2014). Partial least squares (PLS) structural equation modeling (SEM) for building and testing behavioral causal theory: When to choose it and how to use it. IEEE Transactions on Professional Communication, 57(2), 123–146. https://doi.org/10.1109/TPC.2014.2312452
   Web of Science ®Google Scholar
• Lu, Y., & Ramamurthy, K. (2011). Understanding the link between information technology capability and organizational agility: An empirical examination. MIS Quarterly, 35(4), 931–954. https://doi.org/10.2307/41409967
   Web of Science ®Google Scholar
• MacKenzie, S. B., Podsakoff, P. M., & Podsakoff, N. P. (2011). Construct measurement and validation procedures in MIS and behavioral research: Integrating new and existing techniques. MIS Quarterly, 35(2), 293–334. https://doi.org/10.2307/23044045
   Web of Science ®Google Scholar
• Malhotra, A., Gosain, S., & El Sawy, O. A. (2005). Absorptive capacity configurations in supply chains: Gearing for partner-enabled market knowledge creation. MIS Quarterly, 29(1), 145–187. https://doi.org/10.2307/25148671
   Web of Science ®Google Scholar
• Melville, N., Gurbaxani, V., & Kraemer, K. (2007). The productivity impact of information technology across competitive regimes: The role of industry concentration and dynamism. Decision Support Systems, 43(1), 229–242. https://doi.org/10.1016/j.dss.2006.09.009
   Web of Science ®Google Scholar
• Melville, N., Kraemer, K., & Gurbaxani, V. (2004). Information technology and organizational performance: An integrative model of IT business value. MIS Quarterly, 28(2), 283–322. https://doi.org/10.2307/25148636
   Web of Science ®Google Scholar
• Merali, Y., Papadopoulos, T., & Nadkarni, T. (2012). Information systems strategy: Past, present, future? The Journal of Strategic Information Systems, 21(2), 125–153. https://doi.org/10.1016/j.jsis.2012.04.002
   Web of Science ®Google Scholar
• Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J. (2019). Big data analytics capabilities and innovation: The mediating role of dynamic capabilities and moderating effect of the environment. British Journal of Management, 30(2), 272–298. https://doi.org/10.1111/1467–8551.12343
   Web of Science ®Google Scholar
• Mikalef, P., & Krogstie, J. (2020). Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities. European Journal of Information Systems, 29(3), 260–287. https://doi.org/10.1080/0960085X.2020.1740618
   Web of Science ®Google Scholar
• Mikalef, P., Krogstie, J., Pappas, I. O., & Pavlou, P. (2020). Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities. Information & Management, 57(2), 103169. https://doi.org/10.1016/j.im.2019.05.004
   Web of Science ®Google Scholar
• Mikalef, P., & Pateli, A. (2017). Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA. Journal of Business Research, 70, 1–16. https://doi.org/10.1016/j.jbusres.2016.09.004
   Web of Science ®Google Scholar
• Moitra, D., & Ganesh, J. (2005). Web services and flexible business processes: Towards the adaptive enterprise. Information & Management, 42(7), 921–933. https://doi.org/10.1016/j.im.2004.10.003
   Web of Science ®Google Scholar
• Nair, S. R., Demirbag, M., Mellahi, K., & Pillai, K. G. (2018). Do parent units benefit from reverse knowledge transfer? British Journal of Management, 29(3), 428–444. https://doi.org/10.1111/1467-8551.12234
   Web of Science ®Google Scholar
• Narasimhan, B., & Nichols, R. (2011). State of cloud applications and platforms: The cloud adopters’ view. Computer, 44(3), 24–28. https://doi.org/10.1109/MC.2011.66
   Web of Science ®Google Scholar
• Newkirk, H. E., & Lederer, A. L. (2006). The effectiveness of strategic information systems planning under environmental uncertainty. Information & Management, 43(4), 481–501. https://doi.org/10.1016/j.im.2005.12.001
   Web of Science ®Google Scholar
• Overby, E., Bharadwaj, A., & Sambamurthy, V. (2006). Enterprise agility and the enabling role of information technology. European Journal of Information Systems, 15(2), 120–131. https://doi.org/10.1057/palgrave.ejis.3000600
   Web of Science ®Google Scholar
• Papazoglou, M. P., & Van Den Heuvel, W.-J. (2007). Business process development life cycle methodology. Communications of the ACM, 50(10), 79–85. https://doi.org/10.1145/1290958.1290966
   Web of Science ®Google Scholar
• Pautasso, C., Zimmermann, O., & Leymann, F. (2008). Restful web services vs. big’web services: Making the right architectural decision. Proceedings of the 17th international conference on World Wide Web, Beijing, China.
   Google Scholar
• Pavlou, P., & El Sawy, O. (2006). From IT leveraging competence to competitive advantage in turbulent environments: The case of new product development. Information Systems Research, 17(3), 198–227. https://doi.org/10.1287/isre.1060.0094
   Web of Science ®Google Scholar
• Pavlou, P. A., & El Sawy, O. A. (2010). The “third hand”: IT-enabled competitive advantage in turbulence through improvisational capabilities. Information Systems Research, 21(3), 443–471. https://doi.org/10.1287/isre.1100.0280
   Web of Science ®Google Scholar
• Pavlou, P. A., & El Sawy, O. A. (2011). Understanding the Elusive Black Box of Dynamic Capabilities. [Article]. Decision Sciences, 42(1), 239–273. http://search.ebscohost.com/login.aspx?direct=true&db=buh&AN=58612905&site=ehost-live
   Web of Science ®Google Scholar
• Petter, S., Straub, D., & Rai, A. (2007). Specifying formative constructs in information systems research. MIS Quarterly, 31(4), 623–656. https://doi.org/10.2307/25148814
   Web of Science ®Google Scholar
• Pil, F. K., & Cohen, S. K. (2006). Modularity: Implications for imitation, innovation, and sustained advantage. Academy of Management Review, 31(4), 995–1011. https://doi.org/10.5465/amr.2006.22528166
   Web of Science ®Google Scholar
• Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879. https://doi.org/10.1037/0021-9010.88.5.879
   PubMed Web of Science ®Google Scholar
• Prieto, I. M., & Easterby-Smith, M. (2006). Dynamic capabilities and the role of organizational knowledge: An exploration. European Journal of Information Systems, 15(5), 500–510. https://doi.org/10.1057/palgrave.ejis.3000642
   Web of Science ®Google Scholar
• Protogerou, A., Caloghirou, Y., & Lioukas, S. (2011). Dynamic capabilities and their indirect impact on firm performance. Industrial and Corporate Change, 21(3), 615–647. https://doi.org/10.1093/icc/dtr049
   Web of Science ®Google Scholar
• Rai, A., Patnayakuni, R., & Seth, N. (2006). Firm performance impacts of digitally enabled supply chain integration capabilities. MIS Quarterly, 30(2), 225–246. https://doi.org/10.2307/25148729
   Web of Science ®Google Scholar
• Rai, A., & Tang, X. (2010). Leveraging IT capabilities and competitive process capabilities for the management of interorganizational relationship portfolios. Information Systems Research, 21(3), 516–542. https://doi.org/10.1287/isre.1100.0299
   Web of Science ®Google Scholar
• Rajaguru, R., & Matanda, M. J. (2013). Effects of inter-organizational compatibility on supply chain capabilities: Exploring the mediating role of inter-organizational information systems (IOIS) integration. Industrial Marketing Management, 42(4), 620–632. https://doi.org/10.1016/j.indmarman.2012.09.002
   Web of Science ®Google Scholar
• Ravishankar, M., & Pan, S. L. (2013). Examining the influence of modularity and knowledge management (KM) on dynamic capabilities: Insights from a call center. International Journal of Information Management, 33(1), 147–159. https://doi.org/10.1016/j.ijinfomgt.2012.08.003
   Web of Science ®Google Scholar
• Rindova, V. P., & Kotha, S. (2001). Continuous “morphing”: Competing through dynamic capabilities, form, and function. Academy of Management Journal, 44(6), 1263–1280.
   Web of Science ®Google Scholar
• Ringle, C. M., Sarstedt, M., & Straub, D. W. (2012). Editor’s Comments: A Critical Look at the Use of PLS-SEM in” MIS Quarterly”. MIS Quarterly, 36(1), iii–xiv. https://doi.org/10.2307/41410402
   Google Scholar
• Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. Boenningstedt: SmartPLS GmbH, http://www.smartpls.com
   Google Scholar
• Roberts, N., Galluch, P. S., Dinger, M., & Grover, V. (2012). Absorptive capacity and information systems research: Review, synthesis, and directions for future research. MIS Quarterly, 36(2), 625–648. https://doi.org/10.2307/41703470
   Web of Science ®Google Scholar
• Roberts, N., & Grover, V. (2012). Leveraging Information Technology Infrastructure to Facilitate a Firm’s Customer Agility and Competitive Activity: An Empirical Investigation. [Article]. Journal of Management Information Systems, 28(4), 231–270. http://search.ebscohost.com/login.aspx?direct=true&db=buh&AN=74981421&site=ehost-live
   Web of Science ®Google Scholar
• Rowe, F., Besson, P., & Hemon, A. (2017). Socio-technical inertia, dynamic capabilities and environmental uncertainty: Senior management view and implications for organizational transformation.
   Google Scholar
• Sambamurthy, V., Bharadwaj, A., & Grover, V. (2003). Shaping agility through digital options: Reconceptualizing the role of information technology in contemporary firms [Article]. MIS Quarterly, 27(2), 237–263. http://search.ebscohost.com/login.aspx?direct=true&db=buh&AN=10031903&site=ehost-live
   Web of Science ®Google Scholar
• Sambamurthy, V., & Zmud, R. (2000). Research commentary: The organizing logic for an enterprise’s IT activities in the digital era—A prognosis of practice and a call for research. Information Systems Research, 11(2), 105–114. https://doi.org/10.1287/isre.11.2.105.11780
   Web of Science ®Google Scholar
• Sanchez, R., & Mahoney, J. T. (2001). Modularity and dynamic capabilities Rethinking strategy. SAGE Publications Ltd.
   Google Scholar
• Saraf, N., Langdon, C. S., & Gosain, S. (2007). IS application capabilities and relational value in interfirm partnerships. Information Systems Research, 18(3), 320–339. https://doi.org/10.1287/isre.1070.0133
   Web of Science ®Google Scholar
• Sarstedt, M., & Ringle, C. M. (2010). Treating unobserved heterogeneity in PLS path modeling: A comparison of FIMIX-PLS with different data analysis strategies. Journal of Applied Statistics, 37(8), 1299–1318. https://doi.org/10.1080/02664760903030213
   Web of Science ®Google Scholar
• Sarstedt, M., Ringle, C. M., & Gudergan, S. (2016). Guidelines for treating unobserved heterogeneity in tourism research: A comment on Marques and Reis (2015). Annals of tourism research, 57, 279–284.
   Web of Science ®Google Scholar
• Sarstedt, M., Ringle, C. M., Henseler, J., & Hair, J. F. (2014). On the emancipation of PLS-SEM: A commentary on Rigdon (2012). Long Range Planning, 47(3), 154–160. https://doi.org/10.1016/j.lrp.2014.02.007
   Web of Science ®Google Scholar
• Sattler, H., Völckner, F., Riediger, C., & Ringle, C. M. (2010). The impact of brand extension success drivers on brand extension price premiums. International Journal of Research in Marketing, 27(4), 319–328. https://doi.org/10.1016/j.ijresmar.2010.08.005
   Web of Science ®Google Scholar
• Schilke, O. (2014). On the contingent value of dynamic capabilities for competitive advantage: The nonlinear moderating effect of environmental dynamism. Strategic Management Journal, 35(2), 179–203. https://doi.org/10.1002/smj.2099
   Web of Science ®Google Scholar
• Schilling, M. A. (2000). Toward a general modular systems theory and its application to interfirm product modularity. Academy of Management Review, 25(2), 312–334. https://doi.org/10.5465/amr.2000.3312918
   Web of Science ®Google Scholar
• Schreyögg, G., & Kliesch‐Eberl, M. (2007). How dynamic can organizational capabilities be? Towards a dual‐process model of capability dynamization. Strategic Management Journal, 28(9), 913–933. https://doi.org/10.1002/smj.613
   Web of Science ®Google Scholar
• Schreyögg, G., & Sydow, J. (2010). Crossroads—organizing for fluidity? Dilemmas of new organizational forms. Organization Science, 21(6), 1251–1262. https://doi.org/10.1287/orsc.1100.0561
   Web of Science ®Google Scholar
• Schryen, G. (2013). Revisiting IS business value research: What we already know, what we still need to know, and how we can get there. European Journal of Information Systems, 22(2), 139–169. https://doi.org/10.1057/ejis.2012.45
   Web of Science ®Google Scholar
• Setia, P., & Patel, P. C. (2013). How information systems help create OM capabilities: Consequents and antecedents of operational absorptive capacity. Journal of Operations Management, 31(6), 409–431. https://doi.org/10.1016/j.jom.2013.07.013
   Web of Science ®Google Scholar
• Sharma, P. N., & Kim, K. H. (2012). Model selection in information systems research using partial least squares based structural equation modeling. In proceedings of the 33rd International Conference on Information Systems (ICIS), Orlando, Florida, USA.
   Google Scholar
• Sher, P. J., & Lee, V. C. (2004). Information technology as a facilitator for enhancing dynamic capabilities through knowledge management. Information & Management, 41(8), 933–945. https://doi.org/10.1016/j.im.2003.06.004
   Web of Science ®Google Scholar
• Simon, H. A. (1991). The architecture of complexity Facets of systems science. Springer.
   Google Scholar
• Sirmon, D. G., Hitt, M. A., Arregle, J. L., & Campbell, J. T. (2010). The dynamic interplay of capability strengths and weaknesses: Investigating the bases of temporary competitive advantage. Strategic Management Journal, 31(13), 1386–1409. https://doi.org/10.1002/smj.893
   Web of Science ®Google Scholar
• Sirmon, D. G., Hitt, M. A., & Ireland, R. D. (2007). Managing firm resources in dynamic environments to create value: Looking inside the black box. Academy of Management Review, 32(1), 273–292. https://doi.org/10.5465/amr.2007.23466005
   Web of Science ®Google Scholar
• Spanos, Y. E., & Lioukas, S. (2001). An examination into the causal logic of rent generation: Contrasting Porter’s competitive strategy framework and the resource‐based perspective. Strategic Management Journal, 22(10), 907–934. https://doi.org/10.1002/smj.174
   Web of Science ®Google Scholar
• Stoel, M. D., & Muhanna, W. A. (2009). IT capabilities and firm performance: A contingency analysis of the role of industry and IT capability type. Information & Management, 46(3), 181–189. https://doi.org/10.1016/j.im.2008.10.002
   Web of Science ®Google Scholar
• Subramaniam, M., & Youndt, M. A. (2005). The influence of intellectual capital on the types of innovative capabilities. Academy of Management Journal, 48(3), 450–463. https://doi.org/10.5465/amj.2005.17407911
   Web of Science ®Google Scholar
• Swafford, P. M., Ghosh, S., & Murthy, N. (2008). Achieving supply chain agility through IT integration and flexibility. International Journal of Production Economics, 116(2), 288–297. https://doi.org/10.1016/j.ijpe.2008.09.002
   Web of Science ®Google Scholar
• Tafti, A., Mithas, S., & Krishnan, M. S. (2013). The effect of information technology–enabled flexibility on formation and market value of alliances. Management Science, 59(1), 207–225. https://doi.org/10.1287/mnsc.1120.1579
   Web of Science ®Google Scholar
• Tallon, P. P. (2008). Inside the adaptive enterprise: An information technology capabilities perspective on business process agility. Information Technology and Management, 9(1), 21–36. https://doi.org/10.1007/s10799-007-0024-8
   Web of Science ®Google Scholar
• Tallon, P. P., & Pinsonneault, A. (2011). Competing perspectives on the link between strategic information technology alignment and organizational agility: Insights from a mediation model. MIS quarterly, pp. 463–486.
   Google Scholar
• Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319–1350. https://doi.org/10.1002/smj.640
   Web of Science ®Google Scholar
• Teece, D. J. (2018). Dynamic capabilities as (workable) management systems theory. Journal of Management & Organization, 24(3), 359–368. https://doi.org/10.1017/jmo.2017.75
   Web of Science ®Google Scholar
• Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533. https://doi.org/10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z
   Web of Science ®Google Scholar
• Tiwana, A., & Kim, S. K. (2015). Discriminating IT governance. Information Systems Research, 26(4), 656–674. https://doi.org/10.1287/isre.2015.0591
   Web of Science ®Google Scholar
• Tiwana, A., & Konsynski, B. (2010). Complementarities between organizational IT architecture and governance structure. Information Systems Research, 21(2), 288–304. https://doi.org/10.1287/isre.1080.0206
   Web of Science ®Google Scholar
• Vergne, J.-P., & Durand, R. (2011). The path of most persistence: An evolutionary perspective on path dependence and dynamic capabilities. Organization Studies, 32(3), 365–382. https://doi.org/10.1177/0170840610397485
   Web of Science ®Google Scholar
• Volberda, H. W. (1996). Toward the flexible form: How to remain vital in hypercompetitive environments. Organization Science, 7(4), 359–374. https://doi.org/10.1287/orsc.7.4.359
   Web of Science ®Google Scholar
• Voss, C. A., & Hsuan, J. (2009). Service architecture and modularity. Decision Sciences, 40(3), 541–569. https://doi.org/10.1111/j.1540-5915.2009.00241.x
   Web of Science ®Google Scholar
• Wagner, H.-T., Beimborn, D., & Weitzel, T. (2014). How social capital among information technology and business units drives operational alignment and IT business value. Journal of Management Information Systems, 31(1), 241–272. https://doi.org/10.2753/MIS0742-1222310110
   Web of Science ®Google Scholar
• Wei, Y., & Blake, M. B. (2010). Service-oriented computing and cloud computing: Challenges and opportunities. IEEE Internet Computing, 14(6), 72–75. https://doi.org/10.1109/MIC.2010.147
   Web of Science ®Google Scholar
• Weill, P., & Ross, J. (2005). A matrixed approach to designing IT governance. MIT Sloan Management Review, 46(2), 26. https://sloanreview.mit.edu/article/a-matrixed-approach-to-designing-it-governance/
   Web of Science ®Google Scholar
• West, B., Hillenbrand, C., Money, K., Ghobadian, A., & Ireland, R. D. (2016). Exploring the impact of social axioms on firm reputation: A stakeholder perspective. British Journal of Management, 27(2), 249–270. https://doi.org/10.1111/1467-8551.12153
   Web of Science ®Google Scholar
• Wilden, R., & Gudergan, S. P. (2015). The impact of dynamic capabilities on operational marketing and technological capabilities: Investigating the role of environmental turbulence. Journal of the Academy of Marketing Science, 43(2), 181–199. https://doi.org/10.1007/s11747-014-0380-y
   Web of Science ®Google Scholar
• Wilden, R., Gudergan, S. P., Nielsen, B. B., & Lings, I. (2013). Dynamic capabilities and performance: Strategy, structure and environment. Long Range Planning, 46(1), 72–96. https://doi.org/10.1016/j.lrp.2012.12.001
   Web of Science ®Google Scholar
• Woodside, A. G. (2013). Moving beyond multiple regression analysis to algorithms: Calling for adoption of a paradigm shift from symmetric to asymmetric thinking in data analysis and crafting theory. Journal of Business Research, 66(4), 463–472. https://doi.org/10.1016/j.jbusres.2012.12.021
   Web of Science ®Google Scholar
• Woodside, A. G. (2016). The good practices manifesto: Overcoming bad practices pervasive in current research in business. Journal of Business Research, 69(2), 365–381. https://doi.org/10.1016/j.jbusres.2015.09.008
   Web of Science ®Google Scholar
• Worren, N., Moore, K., & Cardona, P. (2002). Modularity, strategic flexibility, and firm performance: A study of the home appliance industry. Strategic Management Journal, 23(12), 1123–1140. https://doi.org/10.1002/smj.276
   Web of Science ®Google Scholar
• Xue, L., Ray, G., & Gu, B. (2011). Environmental uncertainty and IT infrastructure governance: A curvilinear relationship. Information Systems Research, 22(2), 389–399. https://doi.org/10.1287/isre.1090.0269
   Web of Science ®Google Scholar
• Xue, L., Zhang, C., Ling, H., & Zhao, X. (2013). Risk mitigation in supply chain digitization: System modularity and information technology governance. Journal of Management Information Systems, 30(1), 325–352. https://doi.org/10.2753/MIS0742-1222300110
   Web of Science ®Google Scholar
• Xue, Y., Liang, H., & Boulton, W. R. (2008). Information technology governance in information technology investment decision processes: The impact of investment characteristics, external environment, and internal context. MIS quarterly, pp. 67–96.
   Google Scholar
• Yoon, T., & Carter, P. (2007). Investigating the antecedents and benefits of SOA implementation: A multi-case study approach. AMCIS 2007 Proceedings, p 195. Keystone, Colorado, USA.
   Google Scholar
• Zhao, K., & Xia, M. (2014). Forming interoperability through interorganizational systems standards. Journal of Management Information Systems, 30(4), 269–298. https://doi.org/10.2753/MIS0742-1222300410
   Web of Science ®Google Scholar
• Zhu, K., Kraemer, K. L., Gurbaxani, V., & Xu, S. X. (2006). Migration to open-standard interorganizational systems: Network effects, switching costs, and path dependency. MIS Quarterly, 30, 515–539. https://doi.org/10.2307/25148771
   Web of Science ®Google Scholar