Source: https://jitm.ut.ac.ir/article_55356.html
Timestamp: 2019-04-18 22:26:49+00:00

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Information technology is a critical tool for companies to achieve the competitive advantage and organizational innovation. IT capability provides an appropriate opportunity for retailers to improve their relationships with customers and progress firms’ performance. Comes with advances in technology, retail industry by using Information technology has changed its business process from traditional to online channels. This paper, investigates the effects of IT based retail channel integration on retail stores performance, furthermore the mediating role of organizational ambidexterity as organizational capability in exploitation and exploration of growth opportunities has been examined. Research data has been collected from the retailer sales chains in Rasht city. Data was collected through questionnaires and analyzed by structural equation modeling and partial least squares algorithm. Findings show that retail channel integration based on information technology by mediated organizational ambidexterity influence on performance.
Allen, R. S., Dawson, G., Wheatley, K. & White, C. S. (2007). Perceived diversity and organizational performance. Employee Relations, 30(1): 20-33.
Bahn, D. L. & Fischer, P. P. (2003). Clicks and Mortar Business strategy and operations with auxiliary electronic commerce. In Formation Technology and management, 4(2): 319 – 334.
Baker, T., Hunt, T. & Hawes, J. (1999). Marketing strategy and organizational culture. Journal of Marketing Management, 9(2): 32-46.
Barclay, D., Higgins, C. & Thompson, R. (1995). The partial least squares (PLS) approach to causal modeling: personal computer adoption and use as an illustration. Technology studies, 2 (2): 285-309.
Barki, H. & Pinsonneault, A. (2005). Amodel of organizational integration implementation effort and performance. organization science, 16(2): 165- 179.
Barua, A., konana, P., Whinstone, A.B. & Yin, F. (2004). An empirical investigation of net – enabled business value. MIS Quarterly, 28 (4): 585 – 620.
Bashokouh, M. & Alipoor, V. (2012). Communication Role in Coordinating Multiple Distribution Channels in the Electronics Industry. Journal of Information Technology Management, 4(10): 1-24.
Basu, A. & Blanning, R.W. (2003). synthesis and decomposition of processes in organizations. Information systems Research, 14 (4): 337 – 355.
Benner, M. J. & Tushman, M. L. (2003). Exploration, exploitation, and process management: The productivity dilemma revisited. Academy of Management Review, 28: 238-256.
Carmeli, A. (2008). Top management team behavioral integration and the performance of service organizations. Group & Organization Management, 33(6): 712-735.
Chaharsooghi, S.K. & Taheri, Z. (2015). Developing a multi-issue and flexible negotiation mechanism based on multi-agent systems in the automated interchange. Journal of Information Technology Management, 6(4): 589-606.
Chesbrough, H., (2012). Open services innovation: rethinking your business to grow and compete in a new era. Translation Syed Kamran Bagheri, Tehran: Rasa Publication.
Cronbach, L.J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16 (3): 297-334.
Davari, A., Rezazadeh, A., (2014). Structural Equation Modeling With PLS, Tehran: Organization Jahad Daneshgahi Publication.
Denison, D. R. (1990). Corporate culture and organizational effectiveness. New York: Wiley.
Devinney, T.M., Richard. P.J., Yip, G.S. & Johnson, G. (2004). Measuring Organizational Performance in Management Research: A Synthesis of Measurement Challenges and Approaches. Australian Graduate School of Management, Presented in AOM Conference.
Diamantopoulos, A., Sarstedt, M., Fuchs, C., Wilczynski, P. & Kaiser, S. (2012). Guidelines for choosing between multi-item and single-item scales for construct measurement: a predictive validity perspective. Journal of the Academy of Marketing Science, 40(3): 434-449.
Duncan, R. B. (1976). The ambidextrous organization: Designing dual structures for innovation. In R. H. Kilmann, L.R. Pondy and D. Slevin (eds.), The management of organization design: Strategies and implementation. New York: North Holland: 167-188.
Fornell, C. & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1): 39-50.
Gibson, C.B. & Birkinshaw, J. (2004). The antecedents, consequences, and mediating role of organizational ambidexterity. Academy of Management Journal, 47(2) 209-226.
Han, J. K., Kim, N. and Kim, H. B. (2001). Entry barriers: a dull-, one-, or two-edged sword for incumbents? Unraveling the paradox from a contingency perspective. Journal of Marketing, 65, 1–14.
Harris, S. G., & Mossholder, K. W. (1996). The affective implications of perceived congruence with culture dimensions during organizational transformation. Journal of management, 22(4): 527-547.
He, Z. & Wong, P. (2004). Exploration vs. exploitation: an empirical test of the ambidexterity hypothesis, Organization Science 15(4): 481–494.
Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: a review of four recent studies. Strategic management journal, 20(2): 195-204.
Huselid, M. A. (1995). The impact of human resource management practices on turnover, productivity, and corporate financial performance. Academy of Management Journal, 38(3): 635-672.
Jansen, J. J., Tempelaar, M. P., Van den Bosch, F.A. & Volberda, H. W. (2009). Structural differentiation and ambidexterity: The mediating role of integration mechanisms. Organization Science, 20(4): 797-811.
Jansen, J.J.P., Bosch, F. & Volberda, W. (2006). Exploratory innovation exploitative innovation, and performance: effects of organizational antecedents and environmental moderators. managements science, 52 (11): 1661 – 1674.
Junni, P., Sarala, R.M., Taras, V. & Tarba, S.Y. (2013). Organizational ambidexterity and performance: A meta-analysis, The Academy of Management Perspectives, 27(4): 299-312.
Kalakota, R. & Robinson, M. (2004). multi – channel blueprint: creating new customer experiences, In: services Blueprint: Roadmap for Execution, Addison – Wesley, Boston, M.A.
Khodadad Hosseini,S.H., Fathi, S. Elahi, Sh. (2007). Designing a model impact of information technology on financial performance measures of with the approach of meta-analysis. Journal of the accounting and auditing review, 13(4): 61-83.
Leonidou, L.C., Leonidou, C.N., Fotiadis, T.A. & Zeriti, A. (2013). Resources and capabilities as drivers of hotel environmental marketing strategy: Implications for competitive advantage and performance. Tourism Management, 35: 94-110.
Levinthal, D.A. (2005). Comments on the resource allocation process. In: Bower, J.L., Gilbert, C.G. (Eds), From Resource Allocation to strategy, oxford university press, New York, NY.
Luftman, J., Kempaiah, R. & Nash, E. (2006). Key issues for it executives 2005, MIS Quarterly Executive, 32 (5): 81 – 99.
Manian, A., Mosakhani, M. & Jamporazmey, M. (2010). Survey Relationship between IT-business Alignment and Business Performance: Using Structural Equation Model. Journal of Information Technology Management, 2(3): 89-106.
March, J. (1991). Exploration and exploitation in organizational learning. Organization Science, 2(1): 71-87.
Melville, N., Kraemer, K. & Gurbaxani, V. (2004). Review: Information technology and organizational performance: an integrative model of IT business value. MIS Quarterly, 28 (2): 283 – 322.
Menor, L.J. & Roth, A.V. (2007). New service development competence in retail banking: construct development and measurement validation. Journal of operations management, 25 (4): 825- 846.
Mollenkopf, D.A., Rabinovich, E., Laseter, T.M. & Boyer, K.K. (2007). Managing Internet produet returns: a focus on effective service operations, Decision sciences, 38(2): 215- 250.
Momeni, M., Ghayoumi, A.F., (2012). Statistical Analysis With SPSS, Tehran: Author Publication.
Naderi Korshidi, A. & Ghaseminezhad, Y., (2014). Investigating the Indicators Affecting the Success of Modern Banking Services Strategies from the View Point of Managers and Experts of Ansar Bank. Journal of Information Technology Management, 6(3): 487-504.Neokosmidi, Z. V. (2005). Advertising, Market Share, and Profitability in the Greek Consumer Industry.Journal of Business & Economics Research, 3 (9): 69-76.
Nunnally, J. (1978). Psychometric theory. 2nd Edn, New York: McGraw-Hill.
Oh, L.B., Teo, H.H. & Sambamurthy, V. (2012). The effects of retail channel integration through the use of information technologies on firm performance. Journal of operations management, 30 (2): 326 – 381.
Pourebadollahan Covich, M., Samadzad, S. & Vafaei, E., (2010). Market Structure, Conduct and Performance Paradigm Reapplied in the Iranian Shoes and Leather Industries. The Journal of Economic Policy, 2(3): 1-20.
Prieto, E., Revilla, E. & Rodriguez, B. (2007). Information technology and the ambidexterity hypothesis: an analysis in product development. Social Science Research Network. (SSRN) Working Paper.
Prieto, I. M. & Pilar Pérez Santana, M. (2012). Building ambidexterity: The role of human resource practices in the performance of firms from Spain. Human Resource Management, 51(2): 189-211.
Ray, G., Muhanna, W.A. & Barney, J.B. (2005). Information technology and the performance of the customer service process: a resource based analysis, MIS Quarterly, 29(4): 625 – 651.
Saeed, K.A., Grovey, V. & Hawang, Y. (2003). Creating synergy with a clicks and mortar approach. Communication of the Acm, 46(12): 206 – 212.
Su, Z., Peng, J., Shen, H. & Xiao, T. (2013). Technological capability, marketing capability, and firm performance in turbulent conditions. Management and Organization Review, 9(1): 115-137.
Tenenhaus, M., Amato, S. & Esposite Vinzi, V. (2004). A global goodness-of-fit index for PLS structural equation modeling. In Proceedings of the XLII SIS scientific meeting, 739-742.
Tushman, M. L., O’Reilly, Ch. A. (1996). The ambidextrous organization: managing evolutionary and revolutionary change. California Management Review, 38(4): 1-23.
Vinzi, V.E., Trinchera, L. & Amato, S. (2010). PLS path modeling: from foundations to recent developments and open issues for model assessment and improvement. Handbook of Partial Least Squares, 47-82.
Vorhies, D.W., Morgan, R.E. & Autry, C.W. (2009). Product-market strategy and the marketing capabilities of the firm: impact on market effectiveness and cash flow performance. Strategic Management Journal, 30(12): 1310–1334.
Wetzels, M., Odekkerken-Schroder, G. & Van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration, MIS Quarterly, 33(1): 177.

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