政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/130484
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113648/144635 (79%)
Visitors : 51682795      Online Users : 620
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
    •  Adv. Search
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/130484


    Title: 在應變角度下探討供應鏈韌性的建構
    BUILDING SUPPLY CHAIN OPERATIONAL RESILIENCE FROM A CONTINGENCY STRATEGY PERSPECTIVE
    Authors: 程孝盈
    Cheng, Hsiao-Ying
    Contributors: 洪叔民
    程孝盈
    Cheng, Hsiao-Ying
    Keywords: 供應鏈營運韌性
    結構化理論
    組織雙元性
    Supply chain operational resilience
    contingency strategy
    ambidexterity
    Date: 2020
    Issue Date: 2020-07-01 13:30:02 (UTC+8)
    Abstract: 由於要在全球市場經濟中生存,因此公司需要學習如何在不確定及高風險的環境中經營.建立有韌性的供應鏈對於公司發展是必不可少的,尤其是在最近幾十年的風險管理營運中供應鏈營運韌性是一個當前的主題. 通過對產業發達國家公司的經驗研究,我們基於結構化理論，及其衍生理論發展了一個衍生模型，以維護系統流程，希望進一步建立供應鏈的營運韌性.在這項研究中，我們提出了過程方法，並透過持續改進活動，根據結構理論對供應鏈營運韌性進行進一步的開發研究，並通過有ISO系統經驗的廠商來研究檢驗組織的營運韌性能力。 當企業實現全球化功能時，供應鏈存在衍生流程問題。因此企業如何處理供應鏈中斷的能力應該是屬於日常營運的部分流程。供應鏈的營運韌性是完整產品線向全球提供服務的能力和必要條件。有許多研究集中在供應鏈營運韌性主題上:系統文獻綜述，框架的批判性分析和綜合，定量方法，模型開發和經驗工作。 這個研究基本上認為公司對供應鏈破壞的抵禦能力是公司營運的一部分。 我們開發了結構化的供應鏈系統，以維持日常營運的適當能力，並避免供應鏈存在的風險，脆弱性和中斷。
    此研究認為技術支持系統，知識分享行為和供應鏈設計在具有彈性運作的組織供應鏈營運韌性之間產生交互作用，供應鏈績效雖然對供應鏈營運韌性具有負面顯著的調節作用。組織雙元性對於供應鏈韌性的正向顯著性相關。 供應鏈績效和在有組織流程靈活性設計對於組織雙元性及供應鏈營運韌性之間的關係上起著調節性效果。這意味著即使在績效壓力下，適度的組織雙性對供應鏈的營運韌性仍保持穩定狀態正面的影響。
    Building a resilient supply chain is a necessity for company development to survive in the global market economy. Supply chain operational resilience is a topic of discussion especially in the field of risk management operations in recent decades. Through empirical studies in industrially developed companies we developed a derivative model based on structuration theory and its derivative theory to maintain the system processes further to building up supply chain operational resilience capabilities.
    In this study we propose a process approach and continued improvement activities as further development research for supply chain operational resilience activities under Giddens’ structuration theory and undergoing ISO system empirical research to examine organization resilience capability development. Supply chain has derivative process issues when a business takes on a globalization function.
    In this research information technology support, knowledge sharing behaviors and supply chain design has an interaction between organizational ambidexterity to supply chain operational resilience. Supply chain performance plays a negative significant moderating role on the supplier’s supply chain operational resilience. also, supply chain performance and process flexibility play moderating roles on the relationship between organizational ambidexterity and the supplier’s supply chain operational resilience. The means that even under the performance pressure, the moderated mediation effect still steady state has positive effect on the supply chain operational resilience.
    Reference: Adobor, H. and McMullen, R.S. (2018), Supply chain resilience: a dynamic and multidimensional approach, International Journal of Logistics Management, 29(4), 1451-1471.
    Ambulkar, S., Blackhurst, J., & Grawe, S. (2015). Firm`s resilience to supply chain disruptions: Scale development and empirical examination. Journal of Operations Management, 33, 111-122.
    Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423.
    Barley, S. R., & Tolbert, P. S. (1988). Institutionalization as structuration. In Conference on Longitudinal Field Research Methods for Studying Organizational Processes, Austin, TX.
    Belmonte, R. W., & Murray, R. J. (1993). Getting ready for strategic change: surviving business process redesign. Information Systems Management, 10(3), 23-29.
    Bentler, P. M., & Yuan, K. H. (1999). Structural equation modeling with small samples: Test statistics. Multivariate Behavioral Research, 34(2), 181-197.
    Bhamra, R., Dani, S., & Burnard, K. (2011). Resilience: The concept, a literature review and future directions. International Journal of Production Research, 49(18), 5375-5393.
    Blackhurst, J., Dunn, K., & Craighead, C.W. (2011). An empirically derived framework of global supply resiliency. Journal of Business Logistics, 32 (4), 374–391.
    Bock, G. W., & Kim, Y. G. (2002). Breaking the myths of rewards: An exploratory study of attitudes about knowledge sharing. Information Resources Management Journal (IRMJ), 15(2), 14-21.
    Boyer, K. K., & Lewis, M. W. (2002). Competitive priorities: investigating the need for trade‐offs in operations strategy. Production and Operations Management, 11(1), 9-20.
    Brown, B., & Anthony, S. D. (2011). How P&G tripled its innovation success rate. Harvard Business Review, 89(6), 64-72.
    Bryant, T., & Chan, D. (1996). BPR-to Redesign or not to Redesign?. Business Change and Re‐engineering, 3(2), 52-61.
    Burns, T. (1961). en GM Stalker (1961). The management of innovation.
    Bushe, G. R., & Shani, A. B. (1991). Parallel learning structures. Reading, MA.
    Campbell, L., & Kashy, D. A. (2002). Estimating actor, partner, and interaction effects for dyadic data using PROC MIXED and HLM: A user–friendly guide. Personal Relationships, 9(3), 327-342.
    Carpenter, S., Brock, W., & Hanson, P. (1999). Ecological and social dynamics in simple models of ecosystem management. Conservation Ecology, 3(2).
    Champy, J., & Hammer, J. (1994). Business reengineering. Frankfurt, New York.
    Cheung, G. W., & Lau, R. S. (2017). Accuracy of parameter estimates and confidence intervals in moderated mediation models: A comparison of regression and latent moderated structural equations. Organizational Research Methods, 20(4), 746-769.
    Child, J. (1972). Organization structure and strategies of control: A replication of the Aston study. Administrative Science Quarterly, 163-177.
    Chowdhury, M. M. H., & Quaddus, M. (2016). Supply chain readiness, response and recovery for resilience. Supply Chain Management: An International Journal. 21(6):709-731
    Chowdhury, Md Maruf H. & Quaddus, Mohammed, 2017. Supply chain resilience: Conceptualization and scale development using dynamic capability theory, International Journal of Production Economics, 188(C), 185-204.
    Christopher, M., & Peck, H. (2004). The five principles of supply chain resilience. Logistics Europe, 12(1), 16-21.
    Churchill Jr, G. A. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(1), 64-73.
    Comfort, L. K., Boin, A., & Demchak, C. C. (Eds.). (2010). Designing resilience: Preparing for extreme events. University of Pittsburgh Pre.
    Craighead, C. W., Blackhurst, J., Rungtusanatham, M. J., & Handfield, R. B. (2007). The severity of supply chain disruptions: Design characteristics and mitigation capabilities. Decision Sciences, 38(1), 131–156.
    Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281.
    Cross, R., & Cummings, J. N. (2004). Tie and network correlates of individual performance in knowledge-intensive work. Academy of Management Journal, 47(6), 928-937.
    Cumming, G. S., & Collier, J. (2005). Change and identity in complex systems. Ecology and Society, 10(1). 29
    Davenport, T. H., & Short, J. E. (1990). The New Industrial Engineering: Information Technology and Business Process Redesign. Sloan Management Review, 31(4), 11.
    Davenport, T., (1994) Saving IT’s soul: human centered information management. Harvard Business Review 72(2), 119–131.
    Deci, E. L., & Ryan, R. M. (1987). The support of autonomy and the control of behavior. Journal of Personality and Social Psychology, 53(6), 1024.
    DeSanctis, G., & Poole, M. S. (1994). Capturing the complexity in advanced technology use: Adaptive structuration theory. Organization Science, 5(2), 121-147.
    Donaldson, L. (2006). The contingency theory of organizational design: Challenges and opportunities. In Organization design, 19-40. Springer, Boston, MA.
    Duncan, R. B. (1976). The ambidextrous organization: Designing dual structures for innovation. The Management of Organization, 1(1), 167-188.
    Eltantawy, R. A. (2016). The role of supply management resilience in attaining ambidexterity: a dynamic capabilities approach. Journal of Business & Industrial Marketing. 31(1), 123-134.
    Ettlie, J. E., & Reza, E. M. (1992). Organizational integration and process innovation. Academy of Management Journal, 35(4), 795-827.
    Falasca, M., Zobel, C. W., & Cook, D. (2008). A decision support framework to assess supply chain resilience. In Proceedings of the 5th International ISCRAM Conference, 596-605.
    Feldman, M. S., & March, J. G. (1981). Information in organizations as signal and symbol. Administrative Science Quarterly, 171-186.
    Fisher, M. L. (1997). What is the supply chain for your product? Harvard Business Review, 75(2), 105-106.
    Flynn, B. B., Huo, B., & Zhao, X. (2010). The impact of supply chain integration on performance: A contingency and configuration approach. Journal of Operations Management, 28(1), 58-71.
    Fornell, C., & Larcker, D. F. (1981). Structural Equation Models With Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research (JMR), 18(3). 382-388.
    Gaudreau, P., Fecteau, M. C., & Perreault, S. (2010). Multi-level modeling of dyadic data in sport sciences: Conceptual, statistical, and practical issues. Measurement in Physical Education and Exercise Science, 14(1), 29-50.
    Gerbing, D. W., & Anderson, J. C. (1988). An updated paradigm for scale development incorporating uni-dimensionality and its assessment. Journal of Marketing Research, 25(2), 186-192.
    Ghadge, A., Dani, S., & Kalawsky, R. (2012). Supply Chain Risk Management: Present and Future Scope. Ghadge, A., Dani, S., & Kalawsky, 313-339.
    Giddens, A. (1984). The constitution of society. Berkeley.
    Gilbert, P. K., & Dabbagh, N. (2005). How to structure online discussions for meaningful discourse: A case study. British Journal of Educational Technology, 36(1), 5-18.
    Gilliam, D. A., & Voss, K. (2013). A proposed procedure for construct definition in marketing. European Journal of Marketing. 47 No. 1/2, 5-26.
    Gilmore, L. J. (1995). U.S. Patent No. 5,465,847. Washington, DC: U.S. Patent and Trademark Office.
    Gohre, K., & Miller, G. C. (1985). Photochemical generation of singlet oxygen on non-transition-metal oxide surfaces. Journal of the Chemical Society, Faraday Transactions 1: Physical Chemistry in Condensed Phases, 81(3), 793-800.
    Goodman, P. S. (1986). Impact of task and technology on group performance. In P. S. Goodman & Associates (Eds.), Designing effective work groups 120-167. San Francisco: Jossey- Bass.
    Grant, R. M. (1996). Toward a knowledge‐based theory of the firm. Strategic Management Journal, 17(S2), 109-122.
    Hair, J. F. (1995). ua (1995): Multivariate Data Analysis with Readings. Englewood Cliffs.
    Hammer, M., & Champy, J. (1994). Business reengineering. Die Radikalkur für das Unternehmen, 3.
    Harmancioglu, N., Droge, C., & Calantone, R. J. (2009). Theoretical lenses and domain definitions in innovation research. European Journal of Marketing. 43(1), 229-263
    Hayes, R. H., & Wheelwright, S. C. (1979). The dynamics of product-process life cycles. Harvard Business Review, 57(2), 127-136.
    Hempel, C. G., & Neurath, O. (1952). Fundamentals of concept formation in empirical science (Vol. 2, No. 7). Chicago: University of Chicago Press.
    Hendricks, K. B., & Singhal, V. R. (2005). An empirical analysis of the effect of supply chain disruptions on long‐run stock price performance and equity risk of the firm. Production and Operations Management, 14(1), 35-52.
    Hohenstein, N. O., Feisel, E., Hartmann, E., & Giunipero, L. (2015). Research on the phenomenon of supply chain resilience. International Journal of Physical Distribution & Logistics Management, 45(1/2), p.90-117.
    Holling, C. S. (1973). Resilience and stability of ecological systems. Annual review of ecology and systematics, 4(1), 1-23.
    Holling, C. S. (2001). Understanding the complexity of economic, ecological, and social systems. Ecosystems, 4(5), 390-405.
    Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55.
    Huang, C. C. (2009). Knowledge sharing and group cohesiveness on performance: An empirical study of technology R&D teams in Taiwan. Technovation, 29(11), 786-797.
    Hunt, S. D. (1991). Modern marketing theory: Critical issues in the philosophy of marketing science. South-Western Pub.
    Inkpen, A. C., & Tsang, E. W. (2005). Social capital, networks, and knowledge transfer. Academy of Management Review, 30(1), 146-165.
    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., Van Den Bosch, F. A., & Volberda, H. W. (2006). Exploratory innovation, exploitative innovation, and performance: Effects of organizational antecedents and environmental moderators. Management Science, 52(11), 1661-1674.
    Johansson, R. S., & Edin, B. B. (1993). Predictive feed-forward sensory control during grasping and manipulation in man. BIOMEDICAL RESEARCH-TOKYO, 14, 95-95.
    Johnson, N., Elliott, D., & Drake, P. (2013). Exploring the role of social capital in facilitating supply chain resilience. Supply Chain Management: An International Journal, 18(3), 324-336.
    Jones, M. C., Cline, M., & Ryan, S. (2006). Exploring knowledge sharing in ERP implementation: an organizational culture framework. Decision Support Systems, 41(2), 411-434.
    Jüttner, U., & Maklan, S. (2011). Supply chain resilience in the global financial crisis: an empirical study. Supply Chain Management, 16(4), 246.
    Jüttner, U., Peck, H., & Christopher, M. (2003). Supply chain risk management: outlining an agenda for future research. International Journal of Logistics: Research and Applications, 6(4), 197-210.
    Kamalahmadi, M., & Parast, M. M. (2016). A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research. International Journal of Production Economics, 171, 116-133.
    Keen, P. G. (1978). Decisión support systems; an organizational perspective 04( QA76) 6, K44.
    Kenny, D. A. & Ledermann, T. (2010). Detecting, measuring, and testing dyadic patterns in the actor-partner interdependence model. Journal of Family Psychology, 24, 359-366.
    Kenny, D. A., Kashy, D. A., & Cook, W. L. (2006). Dyadic data analysis. New York: The Guildford Press.
    Kling, R. (1980). Social analyses of computing: Theoretical perspectives in recent empirical research. ACM Computing Surveys (CSUR), 12(1), 61-110.
    Knemeyer, A. M., Zinn, W., & Eroglu, C. (2009). Proactive planning for catastrophic events in supply chains. Journal of Operations Management, 27(2), 141-153.
    Kortmann, S., Gelhard, C., Zimmermann, C., & Piller, F. T. (2014). Linking strategic flexibility and operational efficiency: The mediating role of ambidextrous operational capabilities. Journal of Operations Management, 32(7-8), 475-490.
    Kristal, M. M., Huang, X., & Roth, A. V. (2010). The effect of an ambidextrous supply chain strategy on combinative competitive capabilities and business performance. Journal of Operations Management, 28(5), 415-429.
    Lacobucci, D. (2010). Marketing Management (Student Edition: ed.). USA: Owen Graduate School of Management-Vanderbilt University.
    Lawrence, P. R., & Lorsch, J. W. (1967). Differentiation and integration in complex organizations. Administrative Science Quarterly, 1-47.
    Lawrence, P. R., & Dyer, D. 1983. Renewing American industry. New York: Free Press
    Lee, H. L. (2004). The triple-A supply chain. Harvard Business Review, 82(10), 102-113.
    Linton, J. D., Klassen, R., & Jayaraman, V. (2007). Sustainable supply chains: An introduction. Journal of Operations Management, 25(6), 1075-1082.
    Lodree Jr, E. J., & Taskin, S. (2008). An insurance risk management framework for disaster relief and supply chain disruption inventory planning. Journal of the Operational Research Society, 59(5), 674-684.
    Lubatkin, M. H., Simsek, Z., Ling, Y., & Veiga, J. F. (2006). Ambidexterity and performance in small-to medium-sized firms: The pivotal role of top management team behavioral integration. Journal of Management, 32(5), 646-672.
    Luger, J., Raisch, S., & Schimmer, M. (2013). The paradox of static and dynamic ambidexterity. In Academy of Management Proceedings (Vol. 2013, No. 1, p. 11466). Briarcliff Manor, NY 10510: Academy of Management.
    Lummus, R. R., Vokurka, R. J., & Duclos, L. K. (2005). Delphi study on supply chain flexibility. International Journal of Production Research, 43(13), 2687-2708.
    MacCallum, R. C., & Hong, S. (1997). Power analysis in covariance structure modeling using GFI and AGFI. Multivariate Behavioral Research, 32(2), 193-210.
    MacKenzie, S. B. (2003). The dangers of poor construct conceptualization. Journal of the Academy of Marketing Science, 31(3), 323-326.
    Maier, F., & Schroeder, R. (2001). Competitive product and process technology. Schroeder and Flynn (Eds.), High Performance Manufacturing-Global Perspectives. New York: John Wiley & Sons, Inc, 74-114.
    Mandal, S. (2014). Supply chain resilience: a state-of-the-art review and research directions. International Journal of Disaster Resilience in the Built Environment. 5(4), 427-453
    Manganelli, R. L., & Klein, M. M. (1994). Your reengineering toolkit. Management Review, 83(8), 26.
    March, J. G. (1991). Exploration and exploitation in organizational learning. Organization Science, 2(1), 71-87.
    Mason-Jones, R., Naylor, B., & Towill, D. R. (2000). Lean, agile or leagile? Matching your supply chain to the marketplace. International Journal of Production Research, 38(17), 4061-4070.
    Melnyk, S. A., Flynn, B. B., & Awaysheh, A. (2018). The best of times and the worst of times: empirical operations and supply chain management research. International Journal of Production Research, 56(1-2), 164-192.
    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.
    Mensah, P., & Merkuryev, Y. (2013). The role of ICT in the supply chain resilience. In International Conference on Applied Information and Communication Technologies (AICT2013). Jelgava, Latvia. 25.-26.
    Mollenkopf, D., Stolze, H., Tate, W. L., & Ueltschy, M. (2010). Green, lean, and global supply chains. International Journal of Physical Distribution & Logistics Management, 40(1-2), 14-41.
    Montoya‐Weiss, M. M., & Calantone, R. (1994). Determinants of new product performance: a review and meta‐analysis. Journal of Product Innovation Management: An International Publication of the Product Development & Management Association, 11(5), 397-417.
    Muthén, L. K., & Muthén, B. O. (1998). Statistical analysis with latent variables. Mplus User’s guide, 2012.
    Narasimhan, R., Narayanan, S., & Srinivasan, R. (2013). An investigation of justice in supply chain relationships and their performance impact. Journal of Operations Management, 31(5), 236-247.
    Neely, A., Gregory, M., & Platts, K. (1995). Performance measurement system design: a literature review and research agenda. International Journal of Operations & Production Management, 15(4), 80-116.
    Nunnally, J. C. (1994). Psychometric theory 3E. Tata McGraw-Hill Education. Thorndike, R. M. (1995). Book Review: Psychometric Theory by Jum Nunnally and Ira Bernstein New York: McGraw-Hill, 1994, xxiv+ 752 Applied Psychological Measurement, 19(3), 303-305.
    Oliver, R. K., & Webber, M. D. (1982). Supply-chain management: Logistics catches up with strategy. Outlook; reprinted in Christopher, MG (1992), Logistics, the strategic issue (pp. 63–75).Pereira, C. R., Christopher, M., & Da Silva, A. L. (2006). Achieving supply chain resilience: the role of procurement. Supply Chain Management: An International Journal, 2014, 626-642.
    Pall, G. A. (1987). Quality management. Prentice Hall PTR.
    Pereira, C. R., Christopher, M., & Da Silva, A. L. (2006). Achieving supply chain resilience: the role of procurement. Supply Chain Management: An International Journal, 2014, 626-642.
    Perrow, C. (1986). Economic theories of organization. Theory and Society, 15(1-2), 11-45.
    Pettit, T. J., Croxton, K. L., & Fiksel, J. (2013). Ensuring supply chain resilience: development and implementation of an assessment tool. Journal of Business Logistics, 34(1), 46-76.
    Pettit, T. J., Croxton, K. L., & Fiksel, J. (2019). The evolution of resilience in supply chain management: a retrospective on ensuring supply chain resilience. Journal of Business Logistics, 40(1), 56-65.
    Plodinec, M. J. (2009). Definitions of Resilience: An Analysis. Community and Regional Resilience Institute. National Security Directorate.
    Ponis, S. T., & Koronis, E. (2012). Supply Chain Resilience? Definition of concept and its formative elements. The Journal of Applied Business Research, 28(5), 921-935.
    Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. International Journal of Logistics Management, 20(1), p.124.
    Porter, M. E. (1985). Technology and competitive advantage. The Journal of Business Strategy, 5(3), 60.
    Prahalad, C. H., & Hamel, G. (1990). The Core Competence of the Corporation. Harvard Business Review, 68(3), 295-336.
    Rao, S., & Goldsby, T. J. (2009). Supply chain risks: a review and typology. The International Journal of Logistics Management, 20(1), 97-123.
    Ratick, S., Meacham, B., & Aoyama, Y. (2008). Locating backup facilities to enhance supply chain disaster resilience. Growth and Change, 39(4), 642-666.
    Ribeiro, J. P., & Barbosa-Povoa, A. (2018). Supply Chain Resilience: Definitions and quantitative modelling approaches–A literature review. Computers & Industrial Engineering, 115, 109-122.
    Rosenzweig, E. D., Roth, A. V., & Dean Jr, J. W. (2003). The influence of an integration strategy on competitive capabilities and business performance: An exploratory study of consumer products manufacturers. Journal of Operations Management, 21(4), 437-456.
    Roth, K., & Morrison, A. J. (1992). Implementing Global Strategy: Characteristics of Global Subsidiary Mandates. Journal of International Business Studies, 715-735.
    Rothaermel, F. T., & Alexandre, M. T. (2009). Ambidexterity in technology sourcing: The moderating role of absorptive capacity. Organization Science, 20(4), 759-780.
    Safizadeh, M. H., Ritzman, L. P., & Mallick, D. (2000). Revisiting alternative theoretical paradigms in manufacturing strategy. Production and Operations Management, 9(2), 111-126.
    Scherr, A. L. (1993). A new approach to business processes. IBM Systems Journal, 32(1), 80-98.
    Sheffi, Y., & Rice Jr, J. B. (2005). A supply chain view of the resilient enterprise. MIT Sloan Management Review, 47(1), 41.
    Simsek, Z. (2009). Organizational ambidexterity: Towards a multilevel understanding. Journal of Management Studies, 46(4), 597-624.
    Smith, W. K., & Tushman, M. L. (2005). Managing strategic contradictions: A top management model for managing innovation streams. Organization Science, 16(5), 522-536.
    Summers, J. O. (2001). Guidelines for Conducting Research and Publishing in Marketing: From Conceptualization Through the Review Process. Journal of the Academy of Marketing Science, 29(4), 405-415.
    Teng, J. T., Grover, V., & Fiedler, K. D. (1994). Business process reengineering: charting a strategic path for the information age. California Management Review, 36(3), 9-31.
    Tomlin, B. (2006). On the value of mitigation and contingency strategies for managing supply chain disruption risks. Management Science, 52(5), 639-657.
    Tranfield, D., Denyer, D. and Smart, P. (2003). Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British Journal of Management, 14(3), 207-222.
    Tushman, M. L., & O`Reilly III, C. A. (1996). Ambidextrous organizations: Managing evolutionary and revolutionary change. California Management Review, 38(4), 8-29.
    Vanpoucke, E., Vereecke, A., & Wetzels, M. (2014). Developing supplier integration capabilities for sustainable competitive advantage: A dynamic capabilities approach. Journal of Operations Management, 32(7-8), 446-461.
    Vecchi, A., & Vallisi, V. (2016). Supply chain resilience. In Handbook of Research on Global Supply Chain Management, 147-160. IGI Global.
    Ven, A. H. V. D., & Delbecq, A. L. (1974). The effectiveness of nominal, Delphi, and interacting group decision making processes. Academy of Management Journal, 17(4), 605-621.
    Venkatraman, N. (1989). The concept of fit in strategy research: Toward verbal and statistical correspondence. Academy of Management Review, 14(3), 423-444.
    Wacker, J. G. (2004). A theory of formal conceptual definitions: developing theory-building measurement instruments. Journal of Operations Management, 22(6), 629-650.
    Whittington, J. W., Nolan, K., Lewis, N., & Torres, T. (2015). Pursuing the triple aim: the first 7 years. The Milbank Quarterly, 93(2), 263-300.
    Wiggins, H. S. (1967). Simple method for estimating trypsin. Gut, 8(4), 415.
    Woltman, H., Feldstain, A., MacKay, J. C., & Rocchi, M. (2012). An introduction to hierarchical linear modeling. Tutorials in Quantitative Methods for Psychology, 8(1), 52-69.
    Woodward, R. B., Bader, F. E., Bickel, H., Frey, A. J., & Kierstead, R. W. (1956). The total synthesis of reserpine. Journal of the American Chemical Society, 78(9), 2023-2025.
    Zaheer, A., & Venkatraman, N. (1995). Relational governance as an interorganizational strategy: An empirical test of the role of trust in economic exchange. Strategic Management Journal, 16(5), 373-392.
    Zhou, H., & Benton Jr, W. C. (2007). Supply chain practice and information sharing. Journal of Operations Management, 25(6), 1348-1365.
    Zmud, R. W. (1978). An empirical investigation of the dimensionality of the concept of information. Decision Sciences, 9(2), 187-195.
    Zsidisin, G. A., & Wagner, S. M. (2010). Do perceptions become reality? The moderating role of supply chain resiliency on disruption occurrence. Journal of Business Logistics, 31(2), 1-20.
    Description: 博士
    國立政治大學
    企業管理學系
    104355504
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0104355504
    Data Type: thesis
    DOI: 10.6814/NCCU202000626
    Appears in Collections:[Department of Business Administation] Theses

    Files in This Item:

    File Description SizeFormat
    550401.pdf2238KbAdobe PDF20View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback