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Prototype system for pursuing firm’s core capability

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Abstract

Core capabilities are critical abilities that enhance and sustain an organization’s competitive advantage in extremely competitive environments. In today’s complex and dynamic business environment, companies are often prevented from effectively and efficiently evaluating relevant factors necessary for developing their core capability strategic systems. These systems, with inherent human decision-making processes, should be fully considered when creating a method for determining a firm’s suitable or required core capabilities. It is helpful to implement IT-based group decision support systems (GDSS) with soft computing algorithms to assist managers in determining the appropriate core capabilities for the firm. Therefore, this study develops a holistic group decision support system in which similarity measures, fuzzy set theory, and fuzzy mathematics programming are implemented to facilitate managers in making decisions. Through evaluations done in actual cases, we have found that this system creates a flexible and user-friendly environment that aids top management and other relevant staff members in evaluating all relevant factors related to core capabilities.

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References

  • Amit, R., & Schoemaker, P. J. H. (1993). Strategic assets and organizational rent. Strategic Management Journal, 14(1), 33–46.

    Article  Google Scholar 

  • Andreu, R., & Ciborra, C. (1996). Organisational learning and core capabilities development: The role of IT. The Journal of Strategic Information Systems, 5(2), 111–127.

    Article  Google Scholar 

  • Ansoff, H. I., & McDonnell, E. J. (1990). Implanting strategic management. Englewood Cliffs: Prentice-Hall.

    Google Scholar 

  • Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120.

    Article  Google Scholar 

  • Chen, F. Y., & Chang, Y. H. (2005). Examining airline service quality from a process perspective. Journal of Air Transport Management, 11(2), 79–87.

    Article  Google Scholar 

  • Chen, S., Chou, T., & Chang, H. (2005). A semantic learning for content-based image retrieval using analytical hierarchy process. Expert Systems with Applications, 28(3), 495–505.

    Article  Google Scholar 

  • Chung, Y. M., & Lee, J. Y. (2004). Optimization of some factors affecting the performance of query expansion. Information Processing and Management, 40(6), 891–917.

    Article  Google Scholar 

  • Ethiraj, S. K., Kale, P., Krishnan, M. S., & Singh, J. V. (2005). Where do capabilities come from and how do they matter? a study in the software services industry. Strategic Management Journal, 26(1), 25–45.

    Article  Google Scholar 

  • Ettlie, J. E., & Pavlou, P. A. (2006). Technology-based new product development partnerships. Decision Sciences, 37(2), 117–147.

    Article  Google Scholar 

  • Fjermestad, J. (2004). An analysis of communication mode in group support systems research. Decision Support Systems, 37(2), 239–263.

    Article  Google Scholar 

  • Gao, S., Wang, H., Xu, D., & Wang, Y. (2007). An intelligent agent-assisted decision support system for family financial planning. Decision Support Systems, 44(1), 60–78.

    Article  Google Scholar 

  • Grant, R. M. (1991). The resource-based theory of competitive advantage: Implications for strategy formulation. California Management Review, 33(3), 114–135.

    Article  Google Scholar 

  • Gruca, T. S., Nath, D., & Mehra, A. (1997). Exploiting synergy for competitive advantage. Long Range Planning, 30(4), 605–611.

    Article  Google Scholar 

  • Guzman-Arenas, A., & Olivares-Ceja, J. M. (2006). Measuring the understanding between two agents through concept similarity. Expert Systems with Applications, 30(4), 577–591.

    Article  Google Scholar 

  • Hafeez, K., Zhang, Y. B., & Malak, N. (2002). Determining key capabilities of a firm using analytic hierarchy process. International Journal of Production Economics, 76(1), 39–51.

    Article  Google Scholar 

  • Haseman, W. D., Nazareth, D. L., & Paul, S. (2005). Implementation of a group decision support system utilizing collective memory. Information Management, 42(4), 591–605.

    Google Scholar 

  • Javidan, M. (1998). Core competence: What does it mean in practice? Long Range Planning, 31(1), 60–71.

    Article  Google Scholar 

  • Klapka, J., & Pinos, P. (2002). Decision support system for multicriterial R&D and information systems project selection. European Journal of Operational Research, 140(2), 434–446.

    Article  Google Scholar 

  • Li, S. X., & Greenwood, R. (2004). The effect of within-industry diversification on firm performance: Synergy creation, multi-market contact and market structuration. Strategic Management Journal, 25(12), 1131–1153.

    Article  Google Scholar 

  • Li, X., & Ouyang, G. (2006). Nonlinear similarity analysis for epileptic seizures prediction. Nonlinear Analysis, 64(8), 1666–1678.

    Article  Google Scholar 

  • Lin, C., & Hsieh, P. J. (2004). A fuzzy decision support system for strategic portfolio management. Decision Support Systems, 38(3), 383–398.

    Article  Google Scholar 

  • Lin, C., & Tseng, S. (2005). Bridging the implementation gaps in the knowledge management system for enhancing corporate performance. Expert Systems with Applications, 29(1), 163–173.

    Article  Google Scholar 

  • Lin, C., Tan, B., & Hsieh, P. J. (2005). Application of the fuzzy weighted average in strategic portfolio management. Decision Sciences, 36(3), 489–511.

    Article  Google Scholar 

  • Liu, H. W. (2005). New similarity measures between intuitionistic fuzzy sets and between elements. Mathematical and Computer Modeling, 42(1–2), 61–70.

    Article  Google Scholar 

  • Markides, C. C., & Williamson, P. J. (1996). Corporate diversification and organizational structure: A resource-based view. Academy of Management Journal, 39(2), 340–367.

    Article  Google Scholar 

  • Mendoza, J. E., Medaglia, A. L., & Velasco, N. (2009). An evolutionary-based decision support system for vehicle routing: The case of a public utility. Decision Support Systems, 46(3), 730–742.

    Article  Google Scholar 

  • Mitchell, V. L., & Zmud, R. W. (2006). Endogenous adaptation: The effects of technology position and planning mode on IT-enabled change. Decision Sciences, 37(3), 325–355.

    Article  Google Scholar 

  • Morone, J. (1993). Winning in high tech markets. Boston: Harvard Business School.

    Google Scholar 

  • Nanda, A. (1996). Resources, capabilities and competencies. In B. Moingeon & A. Edmondson (Eds.), Organisational learning and competitive advantage. Newbury Park: SAGE Publications Ltd.

    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.

    Article  Google Scholar 

  • Osegowitsch, T. (2001). The art and science of synergy: The case of the auto industry. Business Horizons, 44(2), 17–24.

    Article  Google Scholar 

  • Pierce, L. (2009). Big losses in ecosystem niches: How core firm decisions drive complementary product shakeouts. Strategic Management Journal, 30(3), 323–347.

    Article  Google Scholar 

  • Porter, M. E. (1985). Competitive advantage: Creating and sustaining superior performance. NY: Free.

    Google Scholar 

  • Rho, B. H., Park, K., & Yu, Y. M. (2001). An international comparison of the effect of manufacturing strategy-implementation gap on business performance. International Journal of Production Economics, 70(1), 89–97.

    Article  Google Scholar 

  • Sabherwal, R., & King, W. (1992). Decision processes for developing strategic application for information systems: A contingency approach. Decision Sciences, 23(4), 917–943.

    Article  Google Scholar 

  • Sabherwal, R., & Sabherwal, S. (2005). Knowledge management using information technology: Determinants of short-term impact on firm value. Decision Sciences, 36(4), 531–567.

    Article  Google Scholar 

  • Sahlman, K., & Haapasalo, H. (2009). Elements of strategic management of technology: A conceptual framework of enterprise practice. International Journal of Management and Enterprise Development, 7(3), 319–337.

    Article  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.

    Article  Google Scholar 

  • Sherman, H. D., & Rupert, T. J. (2006). Do bank mergers have hidden or foregone value? realized and unrealized operating synergies in one bank merger. European Journal of Operational Research, 168(1), 253–268.

    Article  Google Scholar 

  • Shirani, A. I. (2006). Sampling and pooling of decision-relevant information: Comparing the efficiency of face-to-face and GSS supported groups. Information Management, 43(4), 521–529.

    Article  Google Scholar 

  • Smith, R., & Sharif, N. (2007). Understanding and acquiring technology assets for global competition. Technovation, 27(11), 643–649.

    Article  Google Scholar 

  • Sommer, R. A. (2009). Linking strategic planning narratives to process-centric business models. International Journal of Management and Enterprise Development, 7(3), 249–261.

    Article  Google Scholar 

  • Tanriverdi, H., & Venkatraman, N. (2005). Knowledge relatedness and the performance of multibusiness firms. Strategic Management Journal, 26(2), 97–119.

    Article  Google Scholar 

  • Teece, D. J., & Pisano, G. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533.

    Article  Google Scholar 

  • Tian, Q., Ma, J., Liang, J., Kwok, R. C. W., & Liu, O. (2005). An organizational decision support system for effective R&D project selection. Decision Support Systems, 39(3), 403–413.

    Article  Google Scholar 

  • Turban, E. (1995). Decision support and expert systems. Englewood Cliffs: Prentice-Hall.

    Google Scholar 

  • Turban, E., Zhou, D., & Ma, J. (2004). A group decision support approach to evaluating journals. Information Management, 42(1), 31–44.

    Article  Google Scholar 

  • Walsh, S., Boylan, R., Paulson, A., Berg, D., & Morone, J. (1996). Identification scheme for core technical capabilities: Evidence from the semiconductor silicon industry (pp. 231–340). Miami: IAMOT.

    Google Scholar 

  • Wang, W., & Xin, X. (2005). Distance measure between intuitionistic fuzzy sets. Pattern Recognition Letters, 26(13), 2063–2069.

    Article  Google Scholar 

  • Yang, I. T. (2008). Utility-based decision support system for schedule optimization. Decision Support Systems, 44(3), 595–605.

    Article  Google Scholar 

  • Zhuang, Y., & Lederer, A. L. (2006). A resource-based view of electronic commerce. Information Management, 43(2), 251–261.

    Article  Google Scholar 

Download references

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Correspondence to David C. Yen.

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Lin, C., Hsu, ML., Yen, D.C. et al. Prototype system for pursuing firm’s core capability. Inf Syst Front 15, 497–509 (2013). https://doi.org/10.1007/s10796-011-9341-x

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