How can Strategy-as-Practice Enable Innovation under the Influence of Environmental Dynamism?
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Adilson Carlos Yoshikuni
José Eduardo Ricciardi Favaretto
Alberto Luiz Albertin
Fernando de Souza Meirelles
Abstract
Purpose: the objective of this study was to analyze innovation in Brazilian organizations when enabled through SIS, in the strategy-as-practice approach, on the influence of moderating environmental dynamism. Methods: we performed structural equation modeling using the statistical technique of partial least squares path modeling (PLS-PM) and post hoc analysis to identify unobserved heterogeneity, with a sample of 256 Brazilian companies from different sectors. Results: the results revealed that the SIS had a strong and significant influence on the innovation of exploitation and exploration. The environmental uncertainty of dynamism moderation was not present in the relationship between SIS and the innovation of exploitation. However, SIS showed a strong and significant influence on innovation of exploration in high levels of dynamism. The existence of unobserved heterogeneity was identified for two segments of the sample, demonstrating a strong path effect between SIS and innovation of exploration and exploitation on the high presence of dynamism in service companies with a size greater than 500 employees. Conclusions: the study contributed to the extension of the strategy-as-practice and innovation literature, by identifying SIS as an alternative in the planning process to enable innovation in the organization, in environments with a high rate of change and unpredictability.
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Yoshikuni, A. C., Favaretto, J. E. R., Albertin, A. L., & Meirelles, F. de S. (2021). How can Strategy-as-Practice Enable Innovation under the Influence of Environmental Dynamism?. Journal of Contemporary Administration, 26(1), e200131. https://doi.org/10.1590/1982-7849rac2022200131.en
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References
Aguirre-Urreta, M., & Rönkkö, M. (2015). Sample size determination and statistical power analysis in PLS Using R : An annotated tutorial. Communications of the Association for Information Systems, 36(3), 33–51. https://doi.org/10.17705/1CAIS.03603
Arend, R. J., Zhao, Y. L., Song, M., & Im, S. (2017). Strategic planning as a complex and enabling managerial tool. Strategic Management Journal, 38, 1741–1752. https://doi.org/10.1002/smj.2420.
Arvidsson, V., Holmström, J., & Lyytinen, K. (2014). Information systems use as strategy practice : A multi-dimensional view of strategic information system implementation and use. Journal of Strategic Information Systems, 23(1), 45–61. https://doi.org/10.1016/j.jsis.2014.01.004
Barbero, J. L., Ramos, A., & Chiang, C. (2017). Restructuring in dynamic environments: A dynamic capabilities perspective. Industrial and Corporate Change, 26(4), dtw042. https://doi.org/10.1093/icc/dtw042
Benitez, J., Castillo, A., Llorens, J., & Braojos, J. (2018). IT-enabled knowledge ambidexterity and innovation performance in small U.S. firms: The moderator role of social media capability. Information and Management, 55(1), 131–143. https://doi.org/10.1016/j.im.2017.09.004
Benitez, J., Llorens, J., & Braojos, J. (2018). How information technology influences opportunity exploration and exploitation firm’s capabilities. Information & Management, 55(4), 508–523. https://doi.org/10.1016/j.im.2018.03.001
Benner, M. J., & Tushman, M. L. (2003). Exploitation, exploration, and process management: The productivity dilemma revisited. Academy of Management Review, 28(2), 238–256. https://doi.org/10.5465/AMR.2003.9416096
Bisquerra, R., Sarriera, J. C., & Martínez, F. (2004). Introdução à estatística: Enfoque informático com o pacote estatístico SPSS. São Paulo: Artmed.
Bodwell, W., & Chermack, T. J. (2010). Organizational ambidexterity: Integrating deliberate and emergent strategy with scenario planning. Technological Forecasting and Social Change, 77(2), 193–202. https://doi.org/10.1016/j.techfore.2009.07.004
Bolisani, E., & Bratianu, C. (2017). Knowledge strategy planning: An integrated approach to manage uncertainty, turbulence, and dynamics. Journal of Knowledge Management, 21(2), 233–253. https://doi.org/10.1108/JKM-02-2016-0071
Chan, Y. E., & Huff, S. L. (1992). Strategy: An information systems research perspective. The Journal of Strategic Information Systems, 1(4), 191–204. https://doi.org/10.1016/0963-8687(92)90035-U
Chan, Y. E., Sabherwal, R., & Thatcher, J. B. (2006). Antecedents and outcomes of strategic IS alignment: an empirical investigation. IEEE Transactions on Engineering Management, 53(1), 27–47. https://doi.org/10.1109/TEM.2005.861804
Chen, D. Q., Mocker, M., Preston, D. S., & Teubner, A. (2010). Information Systems Strategy: Reconceptualization, Measurement, and Implications. MIS Quarterly, 34(2), 233–259. https://doi.org/10.2307/20721426
Chen, H., Zeng, S., Lin, H., & Ma, H. (2017). Munificence, dynamism, and complexity: How industry context drives corporate sustainability. Business Strategy and the Environment, 26(2), 125–141. https://doi.org/10.1002/bse.1902
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
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern Methods for Business Research (pp. 295–336). Lawrence Erlbaum Associates. https://doi.org/10.1057/ejis.2013.4
Chin, W. W., Thatcher, J. B., Wright, R. T., & Steel, D. (2013). Controlling for common method variance in PLS analysis: the measured latent marker variable approach (pp. 231–239). In H Abdi, W. W. Chin, V. E. Vinzi, Russolillo, G. & L. Trinchera (Eds.), New Perspectives in Partial Least Squares and Related Methods. New York: Springer.
Chuang, S. H., & Lin, H. N. (2017). Performance implications of information-value offering in e-service systems: Examining the resource-based perspective and innovation strategy. Journal of Strategic Information Systems, 26(1), 22–38. https://doi.org/10.1016/j.jsis.2016.09.001
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Mahwah, NJ: Lawrence Erlbaum Associates.
Cousineau, D., & Chartier, S. (2017). Outliers detection and treatment: A review. International Journal of Psychological Research, 3(1), 58. https://doi.org/10.21500/20112084.844
Dameron, S., Lê, J. K., & Lebaron, C. (2015). Materializing Strategy and Strategizing Materials: Why Matter Matters. British Journal of Management, 26, S1–S12. https://doi.org/10.1111/1467-8551.12084
Davenport, T. H., Harris, J. G., & Morison, R. (2010). Analytics at work: Smarter decisions, better results. Brighton: Harvard Business Press.
Dawson, J. F. (2014). Moderation in management research: What, why, when, and how. Journal of Business and Psychology, 29(1), 1–19. https://doi.org/10.1007/s10869-013-9308-7
Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of Convenience Sampling and Purposive Sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4. https://doi.org/10.11648/j.ajtas.20160501.11
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/10.2307/3151312
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
Galliers, R. D. (2011). Further developments in information systems strategizing: Unpacking the concept. In R. D. Galliers & W. L. Currie (Eds.), The oxford handbook of management information systems: Critical perspectives and new directions (pp. 329–345). Oxford: Oxford University Press.
George, G., Haas, M. R., & Pentland, A. (2014). From the editors: Big data and management. Academy of Management Journal, 57(2), 321–326. https://doi.org/10.5465/amj.2014.4002
Goodhue, D., Lewis, W., & Thompson, R. (2007). Statistical power in analyzing interaction effects: Questioning the advantage of PLS with product indicators. Information Systems Research, 18(2), 211–227. https://doi.org/10.1287/isre.1070.0123
Gupta, A. K., Smith, K. G., & Shalley, C. E. (2006). The interplay between exploration and exploitation. Academy of Management Journal, 49(4), 693–706. https://doi.org/10.5465/AMJ.2006.22083026
Hair, J. F., Hult, G., Ringle, C., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2a ed.). Thousand Oaks, CA: Sage Publications.
Hair, J. F., Sarstedt, M., Matthews, L. M., & Ringle, C. M. (2016). Identifying and treating unobserved heterogeneity with FIMIX-PLS : Part I – method. European Business Review, 28(1), 63–76. https://doi.org/10.1108/EBR-09-2015-0094
Hair, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2018). Advanced issues in partial least squares structural equation modeling. Thousand Oaks, CA: Sage Publications.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20(1), 277–319. https://doi.org/10.1108/S1474-7979(2009)0000020014
Ho, H., & Lu, R. (2015). Performance implications of marketing exploitation and exploration: Moderating role of supplier collaboration. Journal of Business Research, 68(5), 1026–1034. https://doi.org/10.1016/j.jbusres.2014.10.004
Jansen, J. J. P., Van Den Bosch, F. A. J, & Volberda, H. W. (2006). Exploratory innovation, exploitative innovation, and performance: Effects of organizational antecedents and environmental moderators. Management Science, 52(11), 1661–1674. https://doi.org/10.1287/mnsc.1060.0576
Jansen, J. J. P., Vera, D., & Crossan, M. (2009). Strategic leadership for exploration and exploitation: The moderating role of environmental dynamism. The Leadership Quarterly, 20(1), 5–18. https://doi.org/10.1016/j.leaqua.2008.11.008
Jarzabkowski, P., & Kaplan, S. (2015). Strategy tools-in-use: A framework for understanding ‘technologies of rationality’ in practice. Strategic Management Journal, 36. https://doi.org/10.1002/smj.2270
Johnson, A. M., & Lederer, A. L. (2013). IS strategy and IS contribution: CEO and CIO perspectives. Information Systems Management, 30(4), 306–318. https://doi.org/10.1080/10580530.2013.832962
Kamasak, R., Yozgat, U., & Yavuz, M. (2017). Knowledge process capabilities and innovation: Testing the moderating effects of environmental dynamism and strategic flexibility. Knowledge Management Research and Practice, 15(3), 356–368. https://doi.org/10.1057/s41275-017-0068-4
Kaplan, R. S., & Norton, D. P. (2008). The execution premium: Linking strategy to operations for competitive advantage. Brighton, MA: Harvard Business School Press.
Kearns, G. S., & Sabherwal, R. (2006). Strategic Alignment Between Business and Information Technology: A Knowledge-Based View of Behaviors, Outcome, and Consequences. Journal of Management Information Systems, 23(3), 129–162. https://doi.org/10.2753/MIS0742-1222230306
King, W. R. (1978). Strategic Planning for Management Information Systems. MIS Quarterly, 2(1), 27–37. https://doi.org/10.2307/249104
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. Retrieved from https://aisel.aisnet.org/jais/vol9/iss1/1/
Leal-Rodríguez, A. L., Ariza-Montes, A. J., & Morales-fernández, E. (2017). Green innovation , indeed a cornerstone in linking market requests and business performance. Evidence from the Spanish automotive components industry. Technological Forecasting & Social Change, 129, 185-193. https://doi.org/10.1016/j.techfore.2017.07.021
Leidner, D. E., Lo, J., & Preston, D. S. (2011). An empirical investigation of the relationship of IS strategy with firm performance. Journal of Strategic Information Systems, 20(4), 419–437. https://doi.org/10.1016/j.jsis.2011.09.001
Lewin, A. Y., & Volberda, H. W. (1999). Prolegomena on coevolution: A framework for research on strategy and new organizational forms. Organization Science, 10(5), 519–534. https://doi.org/10.1287/orsc.10.5.519
MacKenzie, S. B., & Podsakoff, P. M. (2012). Common method bias in Marketing: Causes, mechanisms, and procedural remedies. Journal of Retailing, 88(4), 542–555. https://doi.org/10.1016/j.jretai.2012.08.001
Maletič, M., Maletič, D., & Gomišček, B. (2016). The impact of sustainability exploration and sustainability exploitation practices on the organisational performance: A cross-country comparison. Journal of Cleaner Production, 138 (Part 1), 158–169. https://doi.org/10.1016/j.jclepro.2016.02.132
Mao, H., Liu, S., & Zhang, J. (2014). How the effects of IT and knowledge capability on organizational agility are contingent on environmental uncertainty and information intensity. Information Development, 31(4), 1–25. https://doi.org/10.1177/0266666913518059
Marabelli, M., & Galliers, R. D. (2017). A reflection on information systems strategizing: The role of power and everyday practices. Information Systems Journal, 27(3), 347–366. https://doi.org/10.1111/isj.12110
March, J. G. (1991). Exploration and exploitation in organizational learning. Organization Science, 2(1), 71–87. https://doi.org/10.1287/orsc.2.1.71
March, J. G. (1995). The Future, disposable organizations and the rigidities of imagination. Organization, 2(3–4), 427–440. https://doi.org/10.1177/135050849523009
Marôco, J. (2010). Análise de equações estruturais: Fundamentos teóricos, software e aplicações. [S.n]: Pêro Pinheiro.
Martinez-Simarro, D., Devece, C., & Llopis-Albert, C. (2015). How information systems strategy moderates the relationship between business strategy and performance. Journal of Business Research, 68(7), 1592–1594. https://doi.org/10.1016/j.jbusres.2015.01.057
Matthews, L. M., Sarstedt, M., Hair, J. F., & Ringle, C. M. (2016). Identifying and treating unobserved heterogeneity with FIMIX-PLS: Part II – A case study. European Business Review, 28(2), 208–224. https://doi.org/10.1108/EBR-09-2015-0095
Merali, Y., Papadopoulos, T., & Nadkarni, T. (2012). Systems information systems strategy: Past, present, future? Journal of Strategic Information Systems, 21(2), 125–153. https://doi.org/10.1016/j.jsis.2012.04.002
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
Miles, R. E., Snow, C. C., Meyer, A. D., & Coleman, H. J. (1978). Organizational strategy Structure and Process. Academy of Management Review, 3(3), 546–562. https://doi.org/10.5465/amr.1978.4305755
Mintzberg, H., Ahlstrand, B. W., & Lampel, J. (2009). Strategy safari: The complete guide through the wilds of strategic management (2nd ed.). Upper Saddle River: Financial Times Prentice Hall.
Moeini, M., Rahrovani, Y., & Chan, Y. E. (2019). A review of the practical relevance of IS strategy scholarly research. Journal of Strategic Information Systems, 28(2), 196–217. https://doi.org/10.1016/j.jsis.2018.12.003
Morgado, F. F. R., Meireles, J. F. F., Neves, C. M., Amaral, A. C. S., & Ferreira, M. E. C. (2018). Scale development: Ten main limitations and recommendations to improve future research practices. Psychology: Research and Review, 30(1), 1–20. https://doi.org/10.1186/s41155-016-0057-1
Nan, N., & Tanriverdi, H. (2017). Unifying The role of it in hyperturbulence and competitive advantage via a multilevel perspective of IS strategy. MIS Quaterly, 41(3), 937–958. https://doi.org/10.25300/MISQ/2017/41.3.12
Neirotti, P., & Raguseo, E. (2017). On the contingent value of IT-based capabilities for the competitive advantage of SMEs: Mechanisms and empirical evidence. Information and Management, 54(2), 139–153. https://doi.org/10.1016/j.im.2016.05.004
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
Newkirk, H. E., & Lederer, A. (2010). The impact of environmental dynamism on strategic information systems technical and personnel resources planning. International Journal of Information Technology and Management, 9(2), 203–223. https://doi.org/10.1504/IJITM.2010.030461
Panda, S., & Rath, S. K. (2018). Information technology capability, knowledge management capability, and organizational agility: The role of environmental factors. Journal of Management & Organization, 1–27. https://doi.org/10.1017/jmo.2018.9
Pavlou, P. A., & El Sawy, O. A. (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
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
Peng, D. X., & Lai, F. (2012). Using partial least squares in operations management research: A practical guideline and summary of past research. Journal of Operations Management, 30(6), 467–480. https://doi.org/10.1016/j.jom.2012.06.002
Peppard, J., Galliers, R. D., & Thorogood, A. (2014). Information systems strategy as practice: Micro strategy and strategizing for IS. Journal of Strategic Information Systems, 23(1), 1–10. https://doi.org/10.1016/j.jsis.2014.01.002
Philip, G. (2007). IS strategic planning for operational efficiency. Information Systems Management, 24(3), 247–264. https://doi.org/10.1080/10580530701404504
Popadiuk, S. (2012). Scale for classifying organizations as explorers, exploiters or ambidextrous. International Journal of Information Management, 32(1), 75–87. https://doi.org/10.1016/j.ijinfomgt.2011.07.001
Popadiuk, S., & Bido, D. S. (2016). Exploration, exploitation , and organizational coordination mechanisms. RAC - Revista de Administração Contemporânea, 20(2), 238–260. https://doi.org/10.1590/1982-7849rac2016150018
Popadiuk, S., Franklin, M. A., Vidal, P. G., Miguel, L. A. P., & Prieto, V. C. (2010). Measuring Knowledge Exploitation and Exploration: An Empirical Application in a Technological Development Center in Brazil. Revista Espacios, 31(3), 36. Retrieved from https://www.researchgate.net/publication/280883281_Measuring_knowledge_exploitation_and_exploration_An_empirical_application_in_a_technological_development_center_in_Brazil
Porter, M. E. (1990). Competitive advantage: Creating and sustaining superior performance. New York: Harvard Business Review.
Ray, G., Wu, D., & Konana, P. (2009). Competitive environment and the relationship between IT and vertical integration. Information Systems Research, 20(4), 585–603. https://doi.org/10.1287/isre.1080.0202
Ringle, C. M., Bido, D. S., & Silva, D. (2014). Structural equation modeling with the SmartPLS. Brazilian Journal of Marketing, 13(2), 56–73. https://doi.org/10.5585/remark.v13i2.2717
Ringle, C. M., Wende, S., & Becker, J. (2015). SmartPLS 3. Bönningstedt: SmartPLS. Retrieved from http://www.smartpls.com
Rodríguez-Entrena, M., Schuberth, F., & Gelhard, C. (2018). Assessing statistical differences between parameters estimates in Partial Least Squares path modeling. Quality and Quantity, 52(1), 57–69. https://doi.org/10.1007/s11135-016-0400-8
Rouhani, S., Ashrafi, A., Ravasan, A. Z., & Afshari, S. (2016). The impact model of business intelligence on decision support and organizational benefits. Journal of Enterprise Information Management, 29(1), 19–50. https://doi.org/10.1108/JEIM-12-2014-0126
Sabherwal, R., & Chan, Y. E. (2001). Alignment between business and IS strategies: A study of prospectors, analyzers, and defenders. Information Systems Research. https://doi.org/10.1287/isre.12.1.11.9714
Scandelari, V., & Cunha, J. (2013). Ambidestralidade e desempenho socioambiental de empresas do setor eletroeletrônico. Journal of Business Management, 53(2), 183–198. https://doi.org/10.1590/S0034-75902013000200006
Schilke, O. (2014). On the Contingent Value of Dynamic Capabilities for Competitive Advantage: the Nonlinear Moderating Effect of Environmental Dynamism. Academy of Management Journal, 51(2), 179–203. https://doi.org/10.1002/smj.02099
Schwarz, A., Rizzuto, T., Wolverton, C. C., & Roldán, J. L. (2017). Examining the Impact and Detection of the “ Urban Legend ” of Common Method Bias. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 48(1), 93-119. https://doi.org/10.1145/3051473.3051479
Shollo, A., & Galliers, R. D. (2016). Towards an understanding of the role of business intelligence systems in organisational knowing. Information Systems Journal, 26(4), 339–367. https://doi.org/10.1111/isj.12071
Singh, S. K., Watson, H. J., & Watson, R. T. (2002). EIS support for the strategic management process. Decision Support Systems, 33(1), 71–85. https://doi.org/10.1016/S0167-9236(01)00129-4
Sohn, M. H., You, T., Lee, S. L., & Lee, H. (2003). Corporate strategies, environmental forces, and performance measures: A weighting decision support system using the k-nearest neighbor technique. Expert Systems with Applications, 25(3), 279–292. https://doi.org/10.1016/S0957-4174(03)00070-8
Song, M., Im, S., Van Der Bij, H., & Song, L. Z. (2011). Does strategic planning enhance or impede innovation and firm performance? Journal of Product Innovation Management, 28(4), 503–520. https://doi.org/10.1111/j.1540-5885.2011.00822.x
Teubner, R. A. (2013). Theory, Practice, and Challenges for Future Research. Business & Information Systems Engineerin, 5(4), 243–257. https://doi.org/10.1007/s12599-013-0279-z
Wang, Y., & Hajli, N. (2017). Exploring the path to big data analytics success in healthcare. Journal of Business Research, 70, 287–299. https://doi.org/10.1016/j.jbusres.2016.08.002
Whittington, R. (2014). Information Systems Strategy and Strategy-as-Practice: A joint agenda. Journal of Strategic Information Systems, 23(1), 87–91. https://doi.org/10.1016/j.jsis.2014.01.003
Wieland, A., Durach, C. F., Kembro, J., & Treiblmaier, H. (2017). Statistical and judgmental criteria for scale purification. Supply Chain Management: An International Journal, 22(4), 321–328. https://doi.org/10.1108/SCM-07-2016-0230
Wilden, R., & Gudergan, S. P. (2014). 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
Wilhelm, H., Schlömer, M., & Maurer, I. (2015). How dynamic capabilities affect the effectiveness and efficiency of operating routines under high and low levels of environmental dynamism. British Journal of Management, 26(2), 327–345. https://doi.org/10.1111/1467-8551.12085
Wolf, C., & Floyd, S. W. (2017). Strategic Planning Research: Toward a Theory-Driven Agenda. Journal of Management, 43(6), 1754–1788. https://doi.org/10.1177/0149206313478185
Xue, L., Ray, G., & Sambamurthy, V. (2012). Efficiency or Innovation: How Do Industry Environments Moderate the Effects of Firms’ It Asset Portfolios? MIS Quarterly, 36(2), 509–528. https://doi.org/10.2307/41703465
Yayla, A. A., & 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. European Journal of Information Systems, 21(4), 373–387. https://doi.org/10.1057/ejis.2011.52
Yoshikuni, A. C., & Albertin, L. A. (2017). IT-Enabled Dynamic Capability on Performance: an Empirical Study of BSC Model. Journal of Business Management, 57(maio-jun), 215–231. https://doi.org/10.1590/S0034-759020170303
Yoshikuni, A. C., & Albertin, A. L. (2018). Effects of strategic information systems on competitive strategy and performance. International Journal of Productivity and Performance Management, 67(9), 2018–2045. https://doi.org/10.1108/IJPPM-07-2017-0166
Yoshikuni, A. C., Lucas, E. C., & Albertin, A. L. (2019). Strategic Information Systems Enabling Strategy-as-Practice and Corporate Performance : Empirical Evidence from PLS-PM , FIMIX-PLS and fsQCA. International Business Research, 12(1), 131–147. https://doi.org/10.5539/ibr.v12n1p131
Arend, R. J., Zhao, Y. L., Song, M., & Im, S. (2017). Strategic planning as a complex and enabling managerial tool. Strategic Management Journal, 38, 1741–1752. https://doi.org/10.1002/smj.2420.
Arvidsson, V., Holmström, J., & Lyytinen, K. (2014). Information systems use as strategy practice : A multi-dimensional view of strategic information system implementation and use. Journal of Strategic Information Systems, 23(1), 45–61. https://doi.org/10.1016/j.jsis.2014.01.004
Barbero, J. L., Ramos, A., & Chiang, C. (2017). Restructuring in dynamic environments: A dynamic capabilities perspective. Industrial and Corporate Change, 26(4), dtw042. https://doi.org/10.1093/icc/dtw042
Benitez, J., Castillo, A., Llorens, J., & Braojos, J. (2018). IT-enabled knowledge ambidexterity and innovation performance in small U.S. firms: The moderator role of social media capability. Information and Management, 55(1), 131–143. https://doi.org/10.1016/j.im.2017.09.004
Benitez, J., Llorens, J., & Braojos, J. (2018). How information technology influences opportunity exploration and exploitation firm’s capabilities. Information & Management, 55(4), 508–523. https://doi.org/10.1016/j.im.2018.03.001
Benner, M. J., & Tushman, M. L. (2003). Exploitation, exploration, and process management: The productivity dilemma revisited. Academy of Management Review, 28(2), 238–256. https://doi.org/10.5465/AMR.2003.9416096
Bisquerra, R., Sarriera, J. C., & Martínez, F. (2004). Introdução à estatística: Enfoque informático com o pacote estatístico SPSS. São Paulo: Artmed.
Bodwell, W., & Chermack, T. J. (2010). Organizational ambidexterity: Integrating deliberate and emergent strategy with scenario planning. Technological Forecasting and Social Change, 77(2), 193–202. https://doi.org/10.1016/j.techfore.2009.07.004
Bolisani, E., & Bratianu, C. (2017). Knowledge strategy planning: An integrated approach to manage uncertainty, turbulence, and dynamics. Journal of Knowledge Management, 21(2), 233–253. https://doi.org/10.1108/JKM-02-2016-0071
Chan, Y. E., & Huff, S. L. (1992). Strategy: An information systems research perspective. The Journal of Strategic Information Systems, 1(4), 191–204. https://doi.org/10.1016/0963-8687(92)90035-U
Chan, Y. E., Sabherwal, R., & Thatcher, J. B. (2006). Antecedents and outcomes of strategic IS alignment: an empirical investigation. IEEE Transactions on Engineering Management, 53(1), 27–47. https://doi.org/10.1109/TEM.2005.861804
Chen, D. Q., Mocker, M., Preston, D. S., & Teubner, A. (2010). Information Systems Strategy: Reconceptualization, Measurement, and Implications. MIS Quarterly, 34(2), 233–259. https://doi.org/10.2307/20721426
Chen, H., Zeng, S., Lin, H., & Ma, H. (2017). Munificence, dynamism, and complexity: How industry context drives corporate sustainability. Business Strategy and the Environment, 26(2), 125–141. https://doi.org/10.1002/bse.1902
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
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern Methods for Business Research (pp. 295–336). Lawrence Erlbaum Associates. https://doi.org/10.1057/ejis.2013.4
Chin, W. W., Thatcher, J. B., Wright, R. T., & Steel, D. (2013). Controlling for common method variance in PLS analysis: the measured latent marker variable approach (pp. 231–239). In H Abdi, W. W. Chin, V. E. Vinzi, Russolillo, G. & L. Trinchera (Eds.), New Perspectives in Partial Least Squares and Related Methods. New York: Springer.
Chuang, S. H., & Lin, H. N. (2017). Performance implications of information-value offering in e-service systems: Examining the resource-based perspective and innovation strategy. Journal of Strategic Information Systems, 26(1), 22–38. https://doi.org/10.1016/j.jsis.2016.09.001
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Mahwah, NJ: Lawrence Erlbaum Associates.
Cousineau, D., & Chartier, S. (2017). Outliers detection and treatment: A review. International Journal of Psychological Research, 3(1), 58. https://doi.org/10.21500/20112084.844
Dameron, S., Lê, J. K., & Lebaron, C. (2015). Materializing Strategy and Strategizing Materials: Why Matter Matters. British Journal of Management, 26, S1–S12. https://doi.org/10.1111/1467-8551.12084
Davenport, T. H., Harris, J. G., & Morison, R. (2010). Analytics at work: Smarter decisions, better results. Brighton: Harvard Business Press.
Dawson, J. F. (2014). Moderation in management research: What, why, when, and how. Journal of Business and Psychology, 29(1), 1–19. https://doi.org/10.1007/s10869-013-9308-7
Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of Convenience Sampling and Purposive Sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4. https://doi.org/10.11648/j.ajtas.20160501.11
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/10.2307/3151312
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
Galliers, R. D. (2011). Further developments in information systems strategizing: Unpacking the concept. In R. D. Galliers & W. L. Currie (Eds.), The oxford handbook of management information systems: Critical perspectives and new directions (pp. 329–345). Oxford: Oxford University Press.
George, G., Haas, M. R., & Pentland, A. (2014). From the editors: Big data and management. Academy of Management Journal, 57(2), 321–326. https://doi.org/10.5465/amj.2014.4002
Goodhue, D., Lewis, W., & Thompson, R. (2007). Statistical power in analyzing interaction effects: Questioning the advantage of PLS with product indicators. Information Systems Research, 18(2), 211–227. https://doi.org/10.1287/isre.1070.0123
Gupta, A. K., Smith, K. G., & Shalley, C. E. (2006). The interplay between exploration and exploitation. Academy of Management Journal, 49(4), 693–706. https://doi.org/10.5465/AMJ.2006.22083026
Hair, J. F., Hult, G., Ringle, C., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2a ed.). Thousand Oaks, CA: Sage Publications.
Hair, J. F., Sarstedt, M., Matthews, L. M., & Ringle, C. M. (2016). Identifying and treating unobserved heterogeneity with FIMIX-PLS : Part I – method. European Business Review, 28(1), 63–76. https://doi.org/10.1108/EBR-09-2015-0094
Hair, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2018). Advanced issues in partial least squares structural equation modeling. Thousand Oaks, CA: Sage Publications.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20(1), 277–319. https://doi.org/10.1108/S1474-7979(2009)0000020014
Ho, H., & Lu, R. (2015). Performance implications of marketing exploitation and exploration: Moderating role of supplier collaboration. Journal of Business Research, 68(5), 1026–1034. https://doi.org/10.1016/j.jbusres.2014.10.004
Jansen, J. J. P., Van Den Bosch, F. A. J, & Volberda, H. W. (2006). Exploratory innovation, exploitative innovation, and performance: Effects of organizational antecedents and environmental moderators. Management Science, 52(11), 1661–1674. https://doi.org/10.1287/mnsc.1060.0576
Jansen, J. J. P., Vera, D., & Crossan, M. (2009). Strategic leadership for exploration and exploitation: The moderating role of environmental dynamism. The Leadership Quarterly, 20(1), 5–18. https://doi.org/10.1016/j.leaqua.2008.11.008
Jarzabkowski, P., & Kaplan, S. (2015). Strategy tools-in-use: A framework for understanding ‘technologies of rationality’ in practice. Strategic Management Journal, 36. https://doi.org/10.1002/smj.2270
Johnson, A. M., & Lederer, A. L. (2013). IS strategy and IS contribution: CEO and CIO perspectives. Information Systems Management, 30(4), 306–318. https://doi.org/10.1080/10580530.2013.832962
Kamasak, R., Yozgat, U., & Yavuz, M. (2017). Knowledge process capabilities and innovation: Testing the moderating effects of environmental dynamism and strategic flexibility. Knowledge Management Research and Practice, 15(3), 356–368. https://doi.org/10.1057/s41275-017-0068-4
Kaplan, R. S., & Norton, D. P. (2008). The execution premium: Linking strategy to operations for competitive advantage. Brighton, MA: Harvard Business School Press.
Kearns, G. S., & Sabherwal, R. (2006). Strategic Alignment Between Business and Information Technology: A Knowledge-Based View of Behaviors, Outcome, and Consequences. Journal of Management Information Systems, 23(3), 129–162. https://doi.org/10.2753/MIS0742-1222230306
King, W. R. (1978). Strategic Planning for Management Information Systems. MIS Quarterly, 2(1), 27–37. https://doi.org/10.2307/249104
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. Retrieved from https://aisel.aisnet.org/jais/vol9/iss1/1/
Leal-Rodríguez, A. L., Ariza-Montes, A. J., & Morales-fernández, E. (2017). Green innovation , indeed a cornerstone in linking market requests and business performance. Evidence from the Spanish automotive components industry. Technological Forecasting & Social Change, 129, 185-193. https://doi.org/10.1016/j.techfore.2017.07.021
Leidner, D. E., Lo, J., & Preston, D. S. (2011). An empirical investigation of the relationship of IS strategy with firm performance. Journal of Strategic Information Systems, 20(4), 419–437. https://doi.org/10.1016/j.jsis.2011.09.001
Lewin, A. Y., & Volberda, H. W. (1999). Prolegomena on coevolution: A framework for research on strategy and new organizational forms. Organization Science, 10(5), 519–534. https://doi.org/10.1287/orsc.10.5.519
MacKenzie, S. B., & Podsakoff, P. M. (2012). Common method bias in Marketing: Causes, mechanisms, and procedural remedies. Journal of Retailing, 88(4), 542–555. https://doi.org/10.1016/j.jretai.2012.08.001
Maletič, M., Maletič, D., & Gomišček, B. (2016). The impact of sustainability exploration and sustainability exploitation practices on the organisational performance: A cross-country comparison. Journal of Cleaner Production, 138 (Part 1), 158–169. https://doi.org/10.1016/j.jclepro.2016.02.132
Mao, H., Liu, S., & Zhang, J. (2014). How the effects of IT and knowledge capability on organizational agility are contingent on environmental uncertainty and information intensity. Information Development, 31(4), 1–25. https://doi.org/10.1177/0266666913518059
Marabelli, M., & Galliers, R. D. (2017). A reflection on information systems strategizing: The role of power and everyday practices. Information Systems Journal, 27(3), 347–366. https://doi.org/10.1111/isj.12110
March, J. G. (1991). Exploration and exploitation in organizational learning. Organization Science, 2(1), 71–87. https://doi.org/10.1287/orsc.2.1.71
March, J. G. (1995). The Future, disposable organizations and the rigidities of imagination. Organization, 2(3–4), 427–440. https://doi.org/10.1177/135050849523009
Marôco, J. (2010). Análise de equações estruturais: Fundamentos teóricos, software e aplicações. [S.n]: Pêro Pinheiro.
Martinez-Simarro, D., Devece, C., & Llopis-Albert, C. (2015). How information systems strategy moderates the relationship between business strategy and performance. Journal of Business Research, 68(7), 1592–1594. https://doi.org/10.1016/j.jbusres.2015.01.057
Matthews, L. M., Sarstedt, M., Hair, J. F., & Ringle, C. M. (2016). Identifying and treating unobserved heterogeneity with FIMIX-PLS: Part II – A case study. European Business Review, 28(2), 208–224. https://doi.org/10.1108/EBR-09-2015-0095
Merali, Y., Papadopoulos, T., & Nadkarni, T. (2012). Systems information systems strategy: Past, present, future? Journal of Strategic Information Systems, 21(2), 125–153. https://doi.org/10.1016/j.jsis.2012.04.002
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
Miles, R. E., Snow, C. C., Meyer, A. D., & Coleman, H. J. (1978). Organizational strategy Structure and Process. Academy of Management Review, 3(3), 546–562. https://doi.org/10.5465/amr.1978.4305755
Mintzberg, H., Ahlstrand, B. W., & Lampel, J. (2009). Strategy safari: The complete guide through the wilds of strategic management (2nd ed.). Upper Saddle River: Financial Times Prentice Hall.
Moeini, M., Rahrovani, Y., & Chan, Y. E. (2019). A review of the practical relevance of IS strategy scholarly research. Journal of Strategic Information Systems, 28(2), 196–217. https://doi.org/10.1016/j.jsis.2018.12.003
Morgado, F. F. R., Meireles, J. F. F., Neves, C. M., Amaral, A. C. S., & Ferreira, M. E. C. (2018). Scale development: Ten main limitations and recommendations to improve future research practices. Psychology: Research and Review, 30(1), 1–20. https://doi.org/10.1186/s41155-016-0057-1
Nan, N., & Tanriverdi, H. (2017). Unifying The role of it in hyperturbulence and competitive advantage via a multilevel perspective of IS strategy. MIS Quaterly, 41(3), 937–958. https://doi.org/10.25300/MISQ/2017/41.3.12
Neirotti, P., & Raguseo, E. (2017). On the contingent value of IT-based capabilities for the competitive advantage of SMEs: Mechanisms and empirical evidence. Information and Management, 54(2), 139–153. https://doi.org/10.1016/j.im.2016.05.004
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
Newkirk, H. E., & Lederer, A. (2010). The impact of environmental dynamism on strategic information systems technical and personnel resources planning. International Journal of Information Technology and Management, 9(2), 203–223. https://doi.org/10.1504/IJITM.2010.030461
Panda, S., & Rath, S. K. (2018). Information technology capability, knowledge management capability, and organizational agility: The role of environmental factors. Journal of Management & Organization, 1–27. https://doi.org/10.1017/jmo.2018.9
Pavlou, P. A., & El Sawy, O. A. (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
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
Peng, D. X., & Lai, F. (2012). Using partial least squares in operations management research: A practical guideline and summary of past research. Journal of Operations Management, 30(6), 467–480. https://doi.org/10.1016/j.jom.2012.06.002
Peppard, J., Galliers, R. D., & Thorogood, A. (2014). Information systems strategy as practice: Micro strategy and strategizing for IS. Journal of Strategic Information Systems, 23(1), 1–10. https://doi.org/10.1016/j.jsis.2014.01.002
Philip, G. (2007). IS strategic planning for operational efficiency. Information Systems Management, 24(3), 247–264. https://doi.org/10.1080/10580530701404504
Popadiuk, S. (2012). Scale for classifying organizations as explorers, exploiters or ambidextrous. International Journal of Information Management, 32(1), 75–87. https://doi.org/10.1016/j.ijinfomgt.2011.07.001
Popadiuk, S., & Bido, D. S. (2016). Exploration, exploitation , and organizational coordination mechanisms. RAC - Revista de Administração Contemporânea, 20(2), 238–260. https://doi.org/10.1590/1982-7849rac2016150018
Popadiuk, S., Franklin, M. A., Vidal, P. G., Miguel, L. A. P., & Prieto, V. C. (2010). Measuring Knowledge Exploitation and Exploration: An Empirical Application in a Technological Development Center in Brazil. Revista Espacios, 31(3), 36. Retrieved from https://www.researchgate.net/publication/280883281_Measuring_knowledge_exploitation_and_exploration_An_empirical_application_in_a_technological_development_center_in_Brazil
Porter, M. E. (1990). Competitive advantage: Creating and sustaining superior performance. New York: Harvard Business Review.
Ray, G., Wu, D., & Konana, P. (2009). Competitive environment and the relationship between IT and vertical integration. Information Systems Research, 20(4), 585–603. https://doi.org/10.1287/isre.1080.0202
Ringle, C. M., Bido, D. S., & Silva, D. (2014). Structural equation modeling with the SmartPLS. Brazilian Journal of Marketing, 13(2), 56–73. https://doi.org/10.5585/remark.v13i2.2717
Ringle, C. M., Wende, S., & Becker, J. (2015). SmartPLS 3. Bönningstedt: SmartPLS. Retrieved from http://www.smartpls.com
Rodríguez-Entrena, M., Schuberth, F., & Gelhard, C. (2018). Assessing statistical differences between parameters estimates in Partial Least Squares path modeling. Quality and Quantity, 52(1), 57–69. https://doi.org/10.1007/s11135-016-0400-8
Rouhani, S., Ashrafi, A., Ravasan, A. Z., & Afshari, S. (2016). The impact model of business intelligence on decision support and organizational benefits. Journal of Enterprise Information Management, 29(1), 19–50. https://doi.org/10.1108/JEIM-12-2014-0126
Sabherwal, R., & Chan, Y. E. (2001). Alignment between business and IS strategies: A study of prospectors, analyzers, and defenders. Information Systems Research. https://doi.org/10.1287/isre.12.1.11.9714
Scandelari, V., & Cunha, J. (2013). Ambidestralidade e desempenho socioambiental de empresas do setor eletroeletrônico. Journal of Business Management, 53(2), 183–198. https://doi.org/10.1590/S0034-75902013000200006
Schilke, O. (2014). On the Contingent Value of Dynamic Capabilities for Competitive Advantage: the Nonlinear Moderating Effect of Environmental Dynamism. Academy of Management Journal, 51(2), 179–203. https://doi.org/10.1002/smj.02099
Schwarz, A., Rizzuto, T., Wolverton, C. C., & Roldán, J. L. (2017). Examining the Impact and Detection of the “ Urban Legend ” of Common Method Bias. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 48(1), 93-119. https://doi.org/10.1145/3051473.3051479
Shollo, A., & Galliers, R. D. (2016). Towards an understanding of the role of business intelligence systems in organisational knowing. Information Systems Journal, 26(4), 339–367. https://doi.org/10.1111/isj.12071
Singh, S. K., Watson, H. J., & Watson, R. T. (2002). EIS support for the strategic management process. Decision Support Systems, 33(1), 71–85. https://doi.org/10.1016/S0167-9236(01)00129-4
Sohn, M. H., You, T., Lee, S. L., & Lee, H. (2003). Corporate strategies, environmental forces, and performance measures: A weighting decision support system using the k-nearest neighbor technique. Expert Systems with Applications, 25(3), 279–292. https://doi.org/10.1016/S0957-4174(03)00070-8
Song, M., Im, S., Van Der Bij, H., & Song, L. Z. (2011). Does strategic planning enhance or impede innovation and firm performance? Journal of Product Innovation Management, 28(4), 503–520. https://doi.org/10.1111/j.1540-5885.2011.00822.x
Teubner, R. A. (2013). Theory, Practice, and Challenges for Future Research. Business & Information Systems Engineerin, 5(4), 243–257. https://doi.org/10.1007/s12599-013-0279-z
Wang, Y., & Hajli, N. (2017). Exploring the path to big data analytics success in healthcare. Journal of Business Research, 70, 287–299. https://doi.org/10.1016/j.jbusres.2016.08.002
Whittington, R. (2014). Information Systems Strategy and Strategy-as-Practice: A joint agenda. Journal of Strategic Information Systems, 23(1), 87–91. https://doi.org/10.1016/j.jsis.2014.01.003
Wieland, A., Durach, C. F., Kembro, J., & Treiblmaier, H. (2017). Statistical and judgmental criteria for scale purification. Supply Chain Management: An International Journal, 22(4), 321–328. https://doi.org/10.1108/SCM-07-2016-0230
Wilden, R., & Gudergan, S. P. (2014). 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
Wilhelm, H., Schlömer, M., & Maurer, I. (2015). How dynamic capabilities affect the effectiveness and efficiency of operating routines under high and low levels of environmental dynamism. British Journal of Management, 26(2), 327–345. https://doi.org/10.1111/1467-8551.12085
Wolf, C., & Floyd, S. W. (2017). Strategic Planning Research: Toward a Theory-Driven Agenda. Journal of Management, 43(6), 1754–1788. https://doi.org/10.1177/0149206313478185
Xue, L., Ray, G., & Sambamurthy, V. (2012). Efficiency or Innovation: How Do Industry Environments Moderate the Effects of Firms’ It Asset Portfolios? MIS Quarterly, 36(2), 509–528. https://doi.org/10.2307/41703465
Yayla, A. A., & 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. European Journal of Information Systems, 21(4), 373–387. https://doi.org/10.1057/ejis.2011.52
Yoshikuni, A. C., & Albertin, L. A. (2017). IT-Enabled Dynamic Capability on Performance: an Empirical Study of BSC Model. Journal of Business Management, 57(maio-jun), 215–231. https://doi.org/10.1590/S0034-759020170303
Yoshikuni, A. C., & Albertin, A. L. (2018). Effects of strategic information systems on competitive strategy and performance. International Journal of Productivity and Performance Management, 67(9), 2018–2045. https://doi.org/10.1108/IJPPM-07-2017-0166
Yoshikuni, A. C., Lucas, E. C., & Albertin, A. L. (2019). Strategic Information Systems Enabling Strategy-as-Practice and Corporate Performance : Empirical Evidence from PLS-PM , FIMIX-PLS and fsQCA. International Business Research, 12(1), 131–147. https://doi.org/10.5539/ibr.v12n1p131