Aligning Information Technology and Business: The Differential Effects of Alignment During Investment Planning, Delivery, and Change

Published Online:https://doi.org/10.1287/isre.2020.0944

References

  • Aljazzaf S, Mithas S, Park Y (2019) The information technology reporting structure and firm performance: A configurational approach. Americas Conf. Inform. Systems (Association for Information Systems, Atlanta) 1–10.Google Scholar
  • Anderson MC, Banker RD, Ravindran S (2000) Executive compensation in the information technology industry. Management Sci. 46(4):530–547.LinkGoogle Scholar
  • Aral S, Weill P (2007) IT assets, organizational capabilities, and firm performance: How resource allocations and organizational differences explain performance variation. Organ. Sci. 18(5):763–780.LinkGoogle Scholar
  • Baker J, Jones DR, Cao Q, Song J (2011) Conceptualizing the dynamic strategic alignment competency. J. Assoc. Inform. Systems 12(4):299–322.Google Scholar
  • Banjo S (2013) Wal-Mart’s e-stumble with Amazon. Wall Street Journal (June 19), https://www.wsj.com/articles/SB10001424127887323566804578553301017702818.Google Scholar
  • Barreto I (2010) Dynamic capabilities: A review of past research and an agenda for the future. J. Management 36(1):256–280.CrossrefGoogle Scholar
  • Basmann RL (1960) On finite sample distributions of generalized classical linear identifiability test statistics. J. Amer. Statist. Assoc. 55(292):650–659.CrossrefGoogle Scholar
  • Baum CF, Schaffer ME, Stillman S (2003) Instrumental variables and GMM: Estimation and testing. Stata J. 3(1):1–31.CrossrefGoogle Scholar
  • Benbya H, Leidner D, Preston D (2019) MIS Quarterly research curation on information systems alignment. MIS Quart. https://www.misqresearchcurations.org/blog/2019/3/14/information-systems-alignment. Accessed July 3, 2020.Google Scholar
  • Bharadwaj A, Keil M, Mähring M (2009) Effects of information technology failures on the market value of firms. J. Strategic Inform. Systems 18(2):66–79.CrossrefGoogle Scholar
  • Bharadwaj S, Bharadwaj A, Bendoly E (2007) The performance effects of complementarities between information systems, marketing, manufacturing, and supply chain processes. Inform. Systems Res. 18(4):437–453.LinkGoogle Scholar
  • Bhatt GD, Grover V (2005) Types of information technology capabilities and their role in competitive advantage: An empirical study. J. Management Inform. Systems 22(2):253–277.CrossrefGoogle Scholar
  • Burton-Jones A, Green P, Vessey I (2013) Toward a theoretically consistent explanation of business-IT alignment. Proc. 33rd Internat. Conf. Inform. Systems (Association for Information Systems, Atlanta), 1–10.Google Scholar
  • Chakravarty A, Grewal R, Sambamurthy V (2013) Information technology competencies, organizational agility, and firm performance: Enabling and facilitating roles. Inform. Systems Res. 24(4):976–997.LinkGoogle Scholar
  • Chan YE, Reich BH (2007) It alignment: What have we learned? J. Inform. Tech. 22(4):297–315.CrossrefGoogle Scholar
  • Chan YE, Huff SL, Barclay DW, Copeland DG (1997) Business strategic orientation, information systems strategic orientation, and strategic alignment. Inform. Systems Res. 8(2):125–150.LinkGoogle Scholar
  • Chapin N (2005) Managing corporate information systems evolution and maintenance. Managing Corporate Information Systems Evolution and Maintenance (IGI Global, Hershey, PA), 1–23.CrossrefGoogle Scholar
  • Chen DQ, Mocker M, Preston DS, Teubner A (2010) Information systems strategy: Reconceptualization, measurement, and implications. MIS Quart. 34(2):233–259.CrossrefGoogle Scholar
  • Chen RS, Sun CM, Helms MM, Jih WJK (2008) Aligning information technology and business strategy with a dynamic capabilities perspective: A longitudinal study of a Taiwanese semiconductor company. Internat. J. Inform. Management 28(5):366–378.CrossrefGoogle Scholar
  • Coltman T, Tallon P, Sharma R, Queiroz M (2015) Strategic IT alignment: Twenty-five years on. J. Inform. Tech. 30(2):91–100.CrossrefGoogle Scholar
  • Cragg JG, Donald SG (1993) Testing identifiability and specification in instrumental variable models. Econometric Theory 9(2):222–240.CrossrefGoogle Scholar
  • Daniel E, Wilson H (2003) The role of dynamic capabilities in e-business transformation. Eur. J. Inform. Systems 12(4):282–296.CrossrefGoogle Scholar
  • Daniel E, Ward J, Franken A (2014) A dynamic capabilities perspective of IS project portfolio management. J. Strategic Inform. Systems 23(2):95–111.CrossrefGoogle Scholar
  • Dawson JF (2014) Moderation in management research: What, why, when, and how. J. Bus. Psych. 29(1):1–19.CrossrefGoogle Scholar
  • Dedrick J, Gurbaxani V, Kraemer KL (2003) Information technology and economic performance: A critical review of the empirical evidence. ACM Comput. Surveys 35(1):1–28.CrossrefGoogle Scholar
  • Dehning B, Richardson VJ, Zmud RW (2003) The value relevance of announcements of transformational information technology investments. MIS Quart. 27(4):637–656.CrossrefGoogle Scholar
  • Dekleva SM (1992) The influence of the information systems development approach on maintenance. MIS Quart. 16(3):355–372.CrossrefGoogle Scholar
  • Dos Santos BL, Zheng Z, Mookerjee VS, Chen H (2012) Are new IT-enabled investment opportunities diminishing for firms? Inform. Systems Res. 23(2):287–305.LinkGoogle Scholar
  • Drnevich PL, Croson DC (2013) Information technology and business-level strategy: Toward an integrated theoretical perspective. MIS Quart. 37(2):483–509.CrossrefGoogle Scholar
  • Drolet AL, Morrison DG (2001) Do we really need multiple-item measures in service research? J. Service Res. 3(3):196–204.CrossrefGoogle Scholar
  • Earl MJ (1993) Experiences in strategic information systems planning. MIS Quart. 17(1):1–24.CrossrefGoogle Scholar
  • Eisenhardt KM, Martin JA (2000) Dynamic capabilities: What are they? Strategic Management J. 21(10/11):1105–1121.Google Scholar
  • Fichman RG, Melville NP (2014) How posture-profile misalignment in IT innovation diminishes returns: Conceptual development and empirical demonstration. J. Management Inform. Systems 31(1):203–240.CrossrefGoogle Scholar
  • Fitzgerald M (2013) How Starbucks has gone digital. MIT Sloan Management Rev. (April 4), https://sloanreview.mit.edu/article/how-starbucks-has-gone-digital/.Google Scholar
  • Frank KA (2000) Impact of a confounding variable on a regression coefficient. Sociol. Methods Res. 29(2):147–194.CrossrefGoogle Scholar
  • Gerow J, Thatcher J, Grover V (2015) Six types of IT-business strategic alignment: An investigation of the constructs and their measurement. Eur. J. Inform. Systems 24(5):465–491.CrossrefGoogle Scholar
  • Gerow JE, Grover V, Thatcher JB, Roth PL (2014) Looking toward the future of IT-business strategic alignment through the past: A meta-analysis. MIS Quart. 38(4):1159–1186.CrossrefGoogle Scholar
  • Girod SJ, Whittington R (2017) Reconfiguration, restructuring and firm performance: Dynamic capabilities and environmental dynamism. Strategic Management J. 38(5):1121–1133.CrossrefGoogle Scholar
  • Grant GG (2003) Strategic alignment and enterprise systems implementation: The case of Metalco. J. Inform. Tech. 18(3):159–175.CrossrefGoogle Scholar
  • Green K, Stuart E (2014) Examining moderation analyses in propensity score methods: Application to depression and substance use. J. Consulting Clinical Psych. 82(5):773–783.CrossrefGoogle Scholar
  • Greene WH (2011) Econometric Analysis, 7th ed. (Prentice Hall, Upper Saddle River, NJ).Google Scholar
  • Guillemette MG, Pare G (2012) Toward a new theory of the contribution of the IT function in organizations. MIS Quart. 36(2):529–551.CrossrefGoogle Scholar
  • Havakhor T, Sabherwal R, Steelman Z, Sabherwal S (2019) Relationships between information technology and other investments: A contingent interaction model. Inform. Systems Res. 30(1):291–305.LinkGoogle Scholar
  • Heckman JJ (1979) Sample selection bias as a specification error. Econometrica 47(1):153–161.CrossrefGoogle Scholar
  • Henderson JC, Venkatraman N (1999) Strategic alignment: Leveraging information technology for transforming organizations. IBM Systems J. 38(2/3):4–16.Google Scholar
  • Hirschheim R, Sabherwal R (2001) Detours in the path toward strategic information systems alignment. California Management Rev. 44(1):87–108.CrossrefGoogle Scholar
  • Hitt LM (1999) Information technology and firm boundaries: Evidence from panel data. Inform. Systems Res. 10(2):134–149.LinkGoogle Scholar
  • Hitt MA, Keats BW, DeMarie SM (1998) Navigating in the new competitive landscape: Building strategic flexibility and competitive advantage in the 21st century. 21st century. Acad. Management Executive. 12(4):22–42.Google Scholar
  • Ho JL, Tian F, Wu A, Xu SX (2017) Seeking value through deviation? Economic impacts of IT overinvestment and underinvestment. Inform. Systems Res. 28(4):850–862.LinkGoogle Scholar
  • Hoffer JA, George J, Valacich J (2012) Modern Systems Analysis and Design (Prentice Hall, Upper Saddle River, NJ).Google Scholar
  • Huang P, Tafti A, Mithas S (2018) Platform sponsor’s investments and user contributions in knowledge communities: The role of knowledge seeding. MIS Quart. 42(1):213–240.CrossrefGoogle Scholar
  • Jarvenpaa S, Leidner D (1998) An information company in Mexico: Extending the resource-based view of the firm to a developing country context. Inform. Systems Res. 9(4):342–361.LinkGoogle Scholar
  • Jenkin TA, Chan YE (2010) IS project alignment—A process perspective. J. Inform. Tech. 25(1):35–55.CrossrefGoogle Scholar
  • Kappelman L, Nguyen Q, McLean E, Maurer C, Johnson V, Snyder M, Torres R (2017) The 2016 SIM IT issues and trends study. MIS Quart. Executive 16(1):47–80.Google Scholar
  • Karhade P, Shaw MJ, Subramanyam R (2015) Patterns in information systems portfolio prioritization: Evidence from decision tree induction. MIS Quart. 39(2):413–433.CrossrefGoogle Scholar
  • Karimi J, Walter Z (2015) The role of dynamic capabilities in responding to digital disruption: A factor-based study of the newspaper industry. J. Management Inform. Systems 32(1):39–81.CrossrefGoogle Scholar
  • Kearns GS, Lederer AL (2000) The effect of strategic alignment on the use of IS-based resources for competitive advantage. J. Strategic Inform. Systems 9(4):265–293.CrossrefGoogle Scholar
  • Kearns GS, Lederer AL (2003) A resource‐based view of strategic IT alignment: How knowledge sharing creates competitive advantage. Decision Sci. 34(1):1–29.CrossrefGoogle Scholar
  • Kim G, Shin B, Kim KK, Lee HG (2011) IT capabilities, process-oriented dynamic capabilities, and firm financial performance. J. Assoc. Inform. Systems 12(7):487–517.Google Scholar
  • Kim K, Mithas S, Whitaker J, Roy PK (2014) Industry-specific human capital and wages: Evidence from the business process outsourcing industry. Inform. Systems Res. 25(3):618–638.LinkGoogle Scholar
  • Kleis L, Chwelos P, Ramirez RV, Cockburn I (2012) Information technology and intangible output: The impact of IT investment on innovation productivity. Inform. Systems Res. 23(1):42–59.LinkGoogle Scholar
  • Koehn N, McNamara K, Khan N, Legris E (2014) Starbucks Coffee Company: Transformation and renewal. Case 9-314-068, Harvard Business School, Boston.Google Scholar
  • Kohli R (2007) Innovating to create IT-based new business opportunities at United Parcel Service. MIS Quart. Executive 6(4):199–210.Google Scholar
  • Kude T, Lazic M, Heinzl A, Neff A (2018) Achieving IT-based synergies through regulation-oriented and consensus-oriented IT governance capabilities. Inform. Systems J. 28(5):765–795.CrossrefGoogle Scholar
  • Kude T, Mithas S, Schmidt CT, Heinzl A (2019) How pair programming influences team performance: The role of backup behavior, shared mental models, and task novelty. Inform. Systems Res. 30(4):1145–1163.LinkGoogle Scholar
  • Lee OK, Sambamurthy V, Lim KH, Wei KK (2015) How does IT ambidexterity impact organizational agility? Inform. Systems Res. 26(2):398–417.LinkGoogle Scholar
  • Leonard J, Seddon P (2012) A meta-model of alignment. Comm. Assoc. Inform. Systems 31:231–259.Google Scholar
  • Liang H, Wang N, Xue Y, Ge S (2017) Unraveling the alignment paradox: How does business–IT alignment shape organizational agility? Inform. Systems Res. 28(4):863–879.LinkGoogle Scholar
  • Lochan D, Shah S (2010) How to bridge the IT alignment gap. Financial Times (November 4), https://media.bain.com/Images/How_to_bridge_the_alignment_gap_FT.pdf.Google Scholar
  • Lopez MJ, Gutman R (2017) Estimation of causal effects with multiple treatments: A review and new ideas. Statist. Sci. 32(3):432–454.CrossrefGoogle Scholar
  • Lu Y, Ramamurthy K (2011) Understanding the link between information technology capability and organizational agility: An empirical examination. MIS Quart. 35(4):931–954.CrossrefGoogle Scholar
  • Luftman J, Papp R, Brier T (1999) Enablers and inhibitors of business-IT alignment. Comm. Assoc. Inform. Systems 1(March):1–33.Google Scholar
  • Luftman JN, Lewis PR, Oldach SH (1993) Transforming the enterprise: The alignment of business and information technology strategies. IBM Systems J. 32(1):198–221.CrossrefGoogle Scholar
  • Maddala G (1983) Limited-Dependent and Qualitative Variables in Econometrics (Cambridge University Press, Cambridge, UK).CrossrefGoogle Scholar
  • Mehra A, Langer N, Bapna R, Gopal R (2014) Estimating returns to training in the knowledge economy: A firm-level analysis of small and medium enterprises. MIS Quart. 38(3):757–771.CrossrefGoogle Scholar
  • Melville N, Kraemer K, Gurbaxani V (2004) Information technology and organizational performance: An integrative model of IT business value. MIS Quart. 28(2):283–322.CrossrefGoogle Scholar
  • Mithas S, Krishnan MS (2009) From association to causation via a potential outcomes approach. Inform. Systems Res. 20(2):295–313.LinkGoogle Scholar
  • Mithas S, Rust RT (2016) How information technology strategy and investments influence firm performance: Conjecture and empirical evidence. MIS Quart. 40(1):223–245.CrossrefGoogle Scholar
  • Mithas S, Whitaker JW, Tafti AR (2017) Information technology, revenues and profits: Exploring the role of foreign and domestic operations. Inform. Systems Res. 28(2):430–444.LinkGoogle Scholar
  • Mithas S, Tafti A, Bardhan I, Goh JM (2012) Information technology and firm profitability: Mechanisms and empirical evidence. MIS Quart. 36(1):205–224.CrossrefGoogle Scholar
  • Morgan NA, Vorhies DW, Mason CH (2009) Market orientation, marketing capabilities, and firm performance. Strategic Management J. 30(8):909–920.CrossrefGoogle Scholar
  • Nazir S, Pinsonneault A (2012) IT and firm agility: An electronic integration perspective. J. Assoc. Inform. Systems 13(3):150–171.Google Scholar
  • Oh W, Pinsonneault A (2007) On the assessment of the strategic value of information technologies: Conceptual and analytical approaches. MIS Quart. 31(2):239–265.CrossrefGoogle Scholar
  • Overby E, Bharadwaj A, Sambamurthy V (2006) Enterprise agility and the enabling role of information technology. Eur. J. Inform. Systems 15(2):120–131.CrossrefGoogle Scholar
  • Palmer JW, Markus ML (2000) The performance impacts of quick response and strategic alignment in specialty retailing. Inform. Systems Res. 11(3):241–259.LinkGoogle Scholar
  • Park Y, Mithas S (2020) Organized complexity of digital business strategy: A configurational perspective. MIS Quart. 44(1):85–127.CrossrefGoogle Scholar
  • Pavlou PA, El Sawy OA (2006) From IT leveraging competence to competitive advantage in turbulent environments: The case of new product development. Inform. Systems Res. 17(3):198–227.LinkGoogle Scholar
  • Pavlou PA, El Sawy OA (2010) The “third hand”: IT-enabled competitive advantage in turbulence through improvisational capabilities. Inform. Systems Res. 21(3):443–471.LinkGoogle Scholar
  • Pinsonneault A, Kraemer KL (1997) Middle management downsizing: An empirical investigation of the impact of information technology. Management Sci. 43(5):659–679.LinkGoogle Scholar
  • Podsakoff PM, MacKenzie SB, Lee JY, Podsakoff NP (2003) Common method biases in behavioral research: A critical review of the literature and recommended remedies. J. Appl. Psych. 88(5):879–903.CrossrefGoogle Scholar
  • Rai A, Patnayakuni R, Patnayakuni N (1997) Technology investment and business performance. Commun. ACM 40(7):89–97.CrossrefGoogle Scholar
  • Ravichandran T, Han S, Mithas S (2017) Mitigating diminishing returns to R&D: The role of information technology in innovation. Inform. Systems Res. 28(4):812–827.LinkGoogle Scholar
  • Ravishankar M, Pan SL, Leidner D (2011) Examining the strategic alignment and implementation success of a KMS: A subculture-based multilevel analysis. Inform. Systems Res. 22(1):39–59.LinkGoogle Scholar
  • Ray G, Muhanna WA, Barney JB (2007) Competing with IT: The role of shared IT-business understanding. Commun. ACM 50(12):87–91.CrossrefGoogle Scholar
  • Reich BH, Benbasat I (1996) Measuring the linkage between business and information technology objectives. MIS Quart. 20(1):55–81.CrossrefGoogle Scholar
  • Reich BH, Benbasat I (2000) Factors that influence the social dimension of alignment between business and information technology objectives. MIS Quart. 24(1):81–113.CrossrefGoogle Scholar
  • Renaud A, Walsh I, Kalika M (2016) Is SAM still alive? A bibliometric and interpretive mapping of the strategic alignment research field. J. Strategic Inform. Systems 25(2):75–103.CrossrefGoogle Scholar
  • Roberts N, Grover V (2012) Leveraging information technology infrastructure to facilitate a firm’s customer agility and competitive activity: An empirical investigation. J. Management Inform. Systems 28(4):231–270.CrossrefGoogle Scholar
  • Roberts N, Campbell DE, Vijayasarathy LR (2016) Using information systems to sense opportunities for innovation: Integrating postadoptive use behaviors with the dynamic managerial capability perspective. J. Management Inform. Systems 33(1):45–69.CrossrefGoogle Scholar
  • Rosenbaum PR, Rubin DB (1983) The central role of the propensity score in observational studies for causal effects. Biometrika 70(1):41–55.CrossrefGoogle Scholar
  • Sabherwal R, Chan YE (2001) Alignment between business and IS strategies: A study of prospectors, analyzers, and defenders. Inform. Systems Res. 12(1):11–33.LinkGoogle Scholar
  • Sabherwal R, Kirs P (1994) The alignment between organizational critical success factors and information technology capability in academic institutions. Decision Sci. 25(2):301–330.CrossrefGoogle Scholar
  • Sabherwal R, Hirschheim R, Goles T (2001) The dynamics of alignment: Insights from a punctuated equilibrium model. Organ. Sci. 12(2):179–197.LinkGoogle Scholar
  • Sabherwal R, Sabherwal S, Havakhor T, Steelman Z (2019) How does strategic alignment affect firm performance? The roles of information technology investment and environmental uncertainty. MIS Quart. 43(2):453–474.CrossrefGoogle Scholar
  • Saldanha T, Mithas S, Krishnan MS (2017) Leveraging customer involvement for fueling innovation: The role of relational and analytical information processing capabilities. MIS Quart. 41(1):267–286.CrossrefGoogle Scholar
  • Sambamurthy V, Bharadwaj A, Grover V (2003) Shaping agility through digital options: Reconceptualizing the role of information technology in contemporary firms. MIS Quart. 27(2):237–263.CrossrefGoogle Scholar
  • Sargan J (1958) The estimation of economic relationships using instrumental variables. Econometrica 26(3):393–415.CrossrefGoogle Scholar
  • Schilke O (2014) On the contingent value of dynamic capabilities for competitive advantage: The nonlinear moderating effect of environmental dynamism. Strategic Management J. 35(2):179–203.CrossrefGoogle Scholar
  • Schilke O, Hu S, Helfat CE (2018) Quo vadis, dynamic capabilities? A content-analytic review of the current state of knowledge and recommendations for future research. Acad. Management Ann. 12(1):390–439.CrossrefGoogle Scholar
  • Schwarz A, Kalika M, Kefi H, Schwarz C (2010) A dynamic capabilities approach to understanding the impact of IT-enabled businesses processes and IT-business alignment on the strategic and operational performance of the firm. Comm. Assoc. Inform. Systems 26(4):57–84.Google Scholar
  • Shamsie J, Martin X, Miller D (2009) In with the old, in with the new: Capabilities, strategies, and performance among the Hollywood studios. Strategic Management J. 30(13):1440–1452.CrossrefGoogle Scholar
  • Shaver JM (1998) Accounting for endogeneity when assessing strategy performance: Does entry mode choice affect FDI survival? Management Sci. 44(4):571–585.LinkGoogle Scholar
  • Sher PJ, Lee VC (2004) Information technology as a facilitator for enhancing dynamic capabilities through knowledge management. Inform. Management 41(8):933–945.CrossrefGoogle Scholar
  • Shipman J, Swanquist Q, Whited R (2017) Propensity score matching in accounting research. Accounting Rev. 92(1):213–244.CrossrefGoogle Scholar
  • Shpilberg D, Berez S, Puryear R, Shah S (2007) Avoiding the alignment trap in information technology. MIT Sloan Management Rev. 49(1):51–58.Google Scholar
  • Siemsen E, Roth A, Oliveira P (2010) Common method bias in regression models with linear, quadratic, and interaction effects. Organ. Res. Methods 13(3):456–476.CrossrefGoogle Scholar
  • Singh R, Mathiassen L, Stachura ME, Astapova EV (2011) Dynamic capabilities in home health: IT-enabled transformation of post-acute care. J. Assoc. Inform. Systems 12(2):163–188.Google Scholar
  • Smith HA, McKeen JD (2005) Developments in practice XV: Information delivery: IT’s evolving role. Comm. Assoc. Inform. Systems 15(1):197–210.Google Scholar
  • Soto-Acosta P, Martinez-Conesa I, Colomo-Palacios R (2010) An empirical analysis of the relationship between IT training sources and IT value. Inform. Systems Management 27(3):274–283.CrossrefGoogle Scholar
  • Staiger D, Stock JH (1997) Instrumental variables regression with weak instruments. Econometrica 65(3):557–586.CrossrefGoogle Scholar
  • Stock JH, Yogo M (2002) Testing for weak instruments in linear IV regression. Working paper, National Bureau of Economic Research, Cambridge, MA.CrossrefGoogle Scholar
  • Tallon PP (2008) A process-oriented perspective on the alignment of information technology and business strategy. J. Management Inform. Systems 24(3):227–268.CrossrefGoogle Scholar
  • Tallon PP (2012) Value chain linkages and the spillover effects of strategic information technology alignment: A process-level view. J. Management Inform. Systems 28(3):9–44.CrossrefGoogle Scholar
  • Tallon PP, Kraemer KL (2003) Investigating the relationship between strategic alignment and IT business value: The discovery of a paradox. Creating Business Value with Information Technology: Challenges and Solutions (Idea Group Publishing, Hershey, PA),1–22.CrossrefGoogle Scholar
  • Tallon PP, Kraemer K (2007) Fact or fiction? A sensemaking perspective on the reality behind executives’ perceptions of IT business value. J. Management Inform. Systems 24(1):13–54.CrossrefGoogle Scholar
  • Tallon PP, Pinsonneault A (2011) Competing perspectives on the link between strategic information technology alignment and organizational agility: Insights from a mediation model. MIS Quart. 35(2):463–484.CrossrefGoogle Scholar
  • Tallon PP, Kraemer KL, Gurbaxani V (2000) Executives’ perceptions of the business value of information technology: A process-oriented approach. J. Management Inform. Systems 16(4):145–173.CrossrefGoogle Scholar
  • Tambe P, Hitt LM, Brynjolfsson E (2012) The extroverted firm: How external information practices affect innovation and productivity. Management Sci. 58(5):843–859.LinkGoogle Scholar
  • Tarafdar M, Qrunfleh S (2009) IT-business alignment: A two-level analysis. Inform. Systems Management 26(4):338–349.CrossrefGoogle Scholar
  • Teece DJ, Pisano G, Shuen A (1997) Dynamic capabilities and strategic management. Strategic Management J. 18(7):509–533.CrossrefGoogle Scholar
  • Velcu O (2010) Strategic alignment of ERP implementation stages: An empirical investigation. Inform. Management 47(3):158–166.CrossrefGoogle Scholar
  • Wade M, Hulland J (2004) The resource-based view and information systems research: Review, extension, and suggestions for future research. MIS Quart. 28(1):107–142.CrossrefGoogle Scholar
  • Weill P (1992) The relationship between investment in information technology and firm performance: A study of the valve manufacturing sector. Inform. Systems Res. 3(4):307–333.LinkGoogle Scholar
  • Weill P, Olson MH (1989) An assessment of the contingency theory of management information systems. J. Management Inform. Systems 6(1):59–85.CrossrefGoogle Scholar
  • Whitaker J, Mithas S, Liu C-W (2019) Beauty is in the eye of the beholder: Toward a contextual understanding of compensation for IT professionals within and across geographies. Inform. Systems Res. 30(3):892–911.LinkGoogle Scholar
  • Winter S (2003) Understanding dynamic capabilities. Strategic Management J. 24(10):991–995.CrossrefGoogle Scholar
  • Wooldridge JM (2002) Econometric Analysis of Cross Section and Panel Data (MIT Press, Cambridge, MA).Google Scholar
  • Wu SPJ, Straub DW, Liang TP (2015) How information technology governance mechanisms and strategic alignment influence organizational performance: Insights from a matched survey of business and IT managers. MIS Quart. 39(2):497–518.CrossrefGoogle Scholar
  • Xue L, Ray G, Gu B (2011) Environmental uncertainty and IT infrastructure governance: A curvilinear relationship. Inform. Systems Res. 22(2):389–399.LinkGoogle Scholar
  • Yayla AA, Hu Q (2012) The impact of IT-business strategic alignment on firm performance in a developing country setting: Exploring moderating roles of environmental uncertainty and strategic orientation. Eur. J. Inform. Systems 21(4):373–387.CrossrefGoogle Scholar
  • Yeow A, Soh C, Hansen R (2018) Aligning with new digital strategy: A dynamic capabilities approach. J. Strategic Inform. Systems 27(1):43–58.CrossrefGoogle Scholar
  • Zahra S, Sapienza H, Davidson P (2006) Entrepreneurship and dynamic capabilities: A review, model and research agenda. J. Management Stud. 43(4):917–955.CrossrefGoogle Scholar
  • Zellner A, Theil H (1962) Three-stage least squares: Simultaneous estimation of simultaneous equations. Econometrica 30(1):54–78.CrossrefGoogle Scholar
  • Zheng Z, Pavlou P (2010) Research note—Toward a causal interpretation from observational data: A new Bayesian networks method for structural models with latent variables. Inform. Systems Res. 21(2):365–391.LinkGoogle Scholar
  • Zollo M, Winter SG (2002) Deliberate learning and the evolution of dynamic capabilities. Organ. Sci. 13(3):339–351.LinkGoogle Scholar
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