博碩士論文 106481006 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:17 、訪客IP:18.222.32.154
姓名 陳昱橙(Yu-Cheng Chen)  查詢紙本館藏   畢業系所 企業管理學系
論文名稱 智慧資本與大數據分析能力對企業內外部整合與營運績效之影響
(Effects of Intellectual Capital and Big Data Analytical Capability on Internal and External Integration and Operational Performance)
相關論文
★ 證券公司財務比率與股價關係之探討—以三家證券公司為例★ 主管與部屬交換關係品質、心理賦能對員工工作滿足之影響─內外控人格干擾效果之探討
★ 轉換型領導、團隊凝聚力、信任與組織公民行為之相關研究-以研發人員為例★ 跨國企業之供應商評選與管理–以A公司為例
★ 新產品開發流程及績效評估 – 以某電感製造廠M公司為例★ 主管與部屬交換關係對員工工作績效與組織公民行為之影響—以員工心理賦能為中介效果
★ 領導部屬交換關係、工作角色感知與工作績效之研究★ 工作角色感知、負向回饋探詢行為與工作績效之研究
★ 領導與部屬交換關係、組織公平知覺對員工的幫助行為意願與組織承諾之影響 — 以中國華東地區電子廠商為例★ 人格特質與心理契約對員工組織承諾與離職傾向之影響-以旅館飯店業為例
★ 人格特質、工作壓力、工作投入與組織公民行為之相關研究-以警政人員為研究對象★ 領導與部屬交換關係、信任、上司支持與組織公民行為之相關研究-以醫護人員為例
★ 面試情境之個人與組織契合度知覺對工作錄取決定之影響★ 企業履行社會責任對於員工工作滿意度和組織承諾以及工作績效之影響
★ 以多層次觀點探討群體互賴與組織公民行為之關係:群體凝聚力的中介影響★ 後進者技術獲取模式之研究─以LED與太陽能產業為例
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   至系統瀏覽論文 (2027-11-17以後開放)
摘要(中) 隨著人工智慧應用的盛行,企業具備的大數據分析能力與智慧資本,在數位經濟發展中的重要性與日俱增。本研究透過問卷調查進行資料蒐集,研究樣本為亞洲企業257名高階主管,以驗證性因素分析和結構方程模型來檢視智慧資本、大數據分析能力和企業整合對營運績效所產生的影響和效益。
研究結果發現,人力資本、結構資本與大數據分析能力正向關係,但社會資本與大數據分析能力無正向關係。另一方面,大數據分析能力與內部整合正向關係,但與外部整合無正向關係。除此之外,內部整合和外部整合兩者皆與營運績效有正向關係,以及內部整合會中介影響大數據分析能力對於營運績效的影響。本研究從智慧資本的角度進行嘗試,提供了無形資源幫助企業建立大數據分析能力的實證,並證實了大數據分析能力與供應鏈整合、營運績效之間的關係,研究結果彌補了現有文獻的缺口,並提供管理實務與未來研究之建議。
摘要(英) Along with the development of digital economy and artificial intelligence applications, the importance of the big data analytical capability (BDAC) and intellectual capital is a pressing issue for corporates. This study examines the potential benefits and effects of intellectual capital, BDAC, and integrations on corporate’s performance. Data are collected from the distribution of questionnaires to senior managers of the corporates in Asia. 257 copies of valid questionnaire are obtained and analyzed. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) are adopteded for data analysis.

It is found that human capital, structural capital is positively correlated to BDAC, whereas social capital is not positively correlated to BDAC. Moreover, BDAC is positively related to internal integration, and both internal integration and external integration are positively correlated to corporate’s performance. In addition, internal integration mediates the relationship between BDAC and operational performance. Drawn on the findings, managerial implications and suggestions for future research are thus discussed.
關鍵字(中) ★ 智慧資本
★ 內部整合
★ 外部整合
★ 大數據分析能力
關鍵字(英) ★ intellectual capital
★ internal integration
★ external integration
★ big data analytical capability
論文目次 中文摘要 II
ABSTRACT III
目 錄 V
圖 目 錄 VI
表 目 錄 VII
第一章 緒 論 1
第一節 研究背景 1
第二節 研究動機 3
第三節 研究目的 6
第四節 論文結構 7
第二章 文獻探討與研究假設 9
第一節 理論模型 9
第二節 智慧資本與大數據分析能力 11
第三節 大數據分析能力和內外部整合 16
第四節 內部整合與外部整合 19
第五節 企業整合與營運績效 21
第三章 研究方法 22
第一節 資料蒐集與研究樣本 22
第二節 測量工具 26
第四章 實證分析 28
第一節 測量模型分析 28
第二節 結構模型分析 32
第三節 中介效果分析 34
第四節 後續分析 35
第五章 研究結論與管理意涵 36
第一節 研究結論 36
第二節 管理意涵 40
第三節 研究限制與未來研究建議 42
參考文獻 44
附錄 中文問卷 56
附錄 英文問卷 62
參考文獻 一、英文文獻
Adler, P. & Kwon, S.W. (2002). Social capital: Prospects for a new concept. The Academy of Management Review, 27(1), 17-40.

Ahmed, S.S., Guozhu, J., Mubarik, S., Khan, M., & Khan, E. (2019). Intellectual capital and business performance: The role of dimensions of absorptive capacity. Journal of Intellectual Capital, 21(1), 23-39.

Arribas, I., Hernández, P., & Vila, J.E. (2013). Guanxi, performance and innovation in entrepreneurial service projects. Management Decision, 51(1), 173-183.

Ambrosini, V. & Bowman, C. (2009). What are dynamic capabilities and are they a useful construct in strategic management? International Journal of Management Reviews, 11(2), 29-49.

Barr, P. (2004). Current and potential importance of qualitative methods in strategy research, Research Methodology in Strategy and Management, 1, 165-188.

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

Bentler, P.M. (1988). Theory and Implementation of EQS: A Structural Equation Program. Newbury Park, CA, Sage.

Bentler, P.M. & Bonett, D.G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588-606.

Beyer, M.A. & Laney, D. (2012). The Importance of ‘Big Data’: A Definition. Stamford, CT: Gartner.

Bruni, D.S. & Verona, G. (2009). Dynamic marketing capabilities in science-based firms: An exploratory investigation of the pharmaceutical industry. British Journal of Management, 20(1), 101-117.

Cai, Z., Huang, Q., Liu, H., & Liang, L. (2016). The moderating role of information technology capability in the relationship between supply chain collaboration and organizational responsiveness: Evidence from China. International Journal of Operations and Production Management, 36(10), 1247-1271.

Cao, Y., You, J., Shi, Y., & Hu, W. (2020). The obstacles of China’s intelligent automobile manufacturing industry development: A structural equation modeling study. Chinese Management Studies, 14(1), 159-183.

Caputo, F., Cillo, V., Candelo, E., & Liu, Y. (2019). Innovating through digital revolution: The role of soft skills and big data in increasing firm performance. Management Decision, 57 (8), 2032-2051.

Chae, B.K. (2015). Insights from hashtag# supply chain and Twitter analytics: Considering Twitter and Twitter data for supply chain practice and research. International Journal of Production Economics, 165, 247-259.

Chan, D. (1998). Functional relations among constructs in the same content domain at different levels of analysis: A typology of composition models. Journal of Applied Psychology, 83, 234-46.

Chang, S.J., van Witteloostuijn, A., & Eden, L. (2010). Common method variance in international business research. Journal of International Business Studies, 41(2), 178-184.

Chang, W., Ellinger, A.E., Kim, K.K., & Franke, G.R. (2016). Supply chain integration and firm financial performance: A meta-analysis of positional advantage mediation and moderating factors. European Management Journal, 34(3), 282-295.

Chen, C.H., (2015). Effects of shared vision and integrations on entrepreneurial performance: Empirical analyses of 246 new Chinese ventures. Chinese Management Studies, 9(2), 150-175.

Chen, D.Q., Preston, D.S., & Swink, M., (2015). How the use of big data analytics affects value creation in supply chain management. Journal of Management Information Systems, 32(4), 4-39.

Chen, H., Daugherty, P.J., & Roath, A.S. (2009). Defining and operationalizing supply chain process integration. Journal of Business Logistics, 30(1), 63-84.

Chen, Y., Vanhaverbeke, W., & Du, J. (2015). The interaction between internal R&D and different types of external knowledge sourcing: An empirical study of Chinese innovative firms. R&D Management, 46(S3), 1006-1023.

Choi, T.M., Wallace, S.W., & Wang, Y. (2018). Big Data Analytics in Operations Management. Production and Operations Management, 27(10), 1868-1883.

Christopher, M. & Towill, D.R. (2002). Developing market specific supply chain strategies. The International Journal of Logistics Management, 13(1), 1-14.

Craighead, C.W., Blackhurst, J., Rungtusanatham, M.J., & Handfield, R.B. (2017). The severity of supply chain disruptions: The design characteristics and mitigation capabilities. Decision Sciences, 38(1), 131-156.
Davenport, T.H. & Patil, D.J. (2012). Data scientist. Harvard Business Review, 90(5), 70-76.

Diederick, V.T. & Fred, V.R.W. (2019). Artificial intelligent credit risk prediction: An empirical study of analytical artificial intelligence tools for credit risk prediction in a digital era. Journal of Accounting and Finance. West Palm Beach, 19(8), 150-170.

Drees, J.M. & Heugens, P.P. (2013). Synthesizing and extending resource dependence theory: A meta-analysis. Journal of Management, 39(6), 1666-1698.

Droge, C., Jayaram, J., & Vickery, S.K. (2004). The effects of internal versus external integration practices on time-based performance and overall firm performance. Journal of Operations Management, 22(6), 557-573.

Dubey, R., Gunasekaran, A., Childe, S., Wamba, S.F., Roubaud, D., & Foropon, C. (2019). Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience. International Journal of Production Research, 1-19.

Eisenhardt, K.M. and Martin, J.A. (2000). Dynamic capabilities: What are they? Strategic Management Journal, 21(10-11), 1105-1121.

Engelman, R.M., Fracasso, E.M., Schmidt, S., & Zen, A.C. (2017). Intellectual capital, absorptive capacity and product innovation. Management Decision, 55(3), 474-490.

Erevelles, S., Fukawa, N., & Swayne, L. (2016). BD consumer analytics and the transformation of marketing. Journal of Business Research, 69(2), 897-904.

Ferraris, A., Mazzoleni, A., Devalle, A., & Couturier, J. (2019). Big data analytics capabilities and knowledge management: Impact on firm performance. Management Decision, 57, 1923-1936.

Flynn, B., Huo, B., & Zhao, X. (2010). The impact of supply chain integration on performance: A contingency and configuration approach. Journal of Operations Management, 28, 58-71.

Fonseca, T., Faria, P.D., & Lima, F. (2019). Human capital and innovation: The importance of the optimal organizational task structure. Research Policy, 48(3), 616-627.

Fornell, C. & Bookstein, F.L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19, 440-452.

Ganbold, O., Matsui, Y., & Rotaru, K. (2020). Effect of information technology-enabled supply chain integration on firm′s operational performance. Journal of Enterprise Information Management, 34(3), 948-989.

Gimenez, C. & Ventura, E. (2005). Logistics-production, logistics-marketing and external integration: Their impact on performance. International Journal of Operations & Production Management, 25(1), 20-38.

De Giovanni, P. (2021). Smart Supply Chains with vendor managed inventory, coordination, and environmental performance. European Journal of Operational Research, 292(2), 515-531.

Graham, S. (2018). Antecedents to environmental supply chain strategies: The role of internal integration and environmental learning. International Journal of Production Economics, 197, 283-296.

Guthrie, J., Dumay, J., & Rooney, J. (2018). The critical path of intellectual capital. In J. Guthrie, J. Dumay, F. Ricceri, & C. Nielsen (Eds.), The Routledge Companion to Intellectual Capital (pp. 21-39). Routledge, Taylor and Francis Group.

Gunasekaran, A., Lai, K.H., & Cheng, T.E. (2008). Responsive supply chain: A competitive strategy in a networked economy. Omega, 36(4), 549-564.

Gupta, M., & George, J.F. (2016). Toward the development of a big data analytics capability. Information & Management, 53(8), 1049-1064.

Hair, J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2010). Multivariate Data Analysis: A Global Perspective. New Jersey, Pearson Prentice Hall.

Han, Y. & Li, D. (2015). Effects of intellectual capital on innovative performance. Management Decision, 53(1), 40-56.
Horn, P., Scheffler, P., & Schiele, H. (2014). Internal integration as a pre-condition for external integration in global sourcing: A social capital perspective. International Journal of Production Economics, 153, 54-65.

Hsu, I‐C. & Sabherwal, R. (2012). Relationship between intellectual capital and knowledge management: An empirical investigation. Decision Sciences, 43(3), 489-524.

Hsu, L.C. & Wang, C.H. (2012). Clarifying the effect of intellectual capital on performance: The mediating role of dynamic capability. British Journal of Management, 23(2), 179-205.

Hu, L., & Bentler, P.M.(1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling,6, 1-55.

Huber, C., Gatzert, N., & Schmeiser, H. (2015). How does price presentation influence consumer choice? The case of life insurance products, The Journal of Risk and Insurance, 82(2), 401-431.

Huo, B., Han, Z., Chen, H., & Zhao, X. (2015). The effect of high-involvement human resource management practices on supply chain integration. International Journal of Physical Distribution & Logistics Managements, 45, 716-746.

Huo, B., Ye, Y., Zhao, X., & Shou, Y. (2016). The impact of human capital on supply chain integration and competitive performance. International Journal of Production Economics, 178, 132-143.

Huo, B., Zhao, X., & Lai, F. (2014). Supply chain quality integration: Antecedents and consequences. IEEE Transactions on Engineering Management, 61(1), 38-51.
Gupta, M. & George, J.F. (2016). Toward the development of a big data analytics capability. Information and Management, 53(8), 1049-1064.

Iqbal, A., Latif, F., Marimon, F., Sahibzada, U.F., & Hussain, S. (2019). From knowledge management to organizational performance: Modelling the mediating role of innovation and intellectual capital in higher education. Journal of Enterprise Information Management, 32(1), 36-59.

Irfan, M. & Wang, M. (2019). Data-driven capabilities, supply chain integration and competitive performance: Evidence from the food and beverages industry in Pakistan. British Food Journal, 121, 2708-2729.

Isaac, R., Herremans, I., & Kline, T. (2010). Intellectual capital management enablers: A structural equation modeling analysis. Journal of Business Ethics, 93(3), 373-391.

Jayaram, J., Xu, K., & Nicolae, M. (2011). The direct and contingency effects of supplier coordination and customer coordination on quality and flexibility performance. International Journal of Production Research, 49(1), 59-85.

Jha, A.K., Agi, M.A.N., & Ngai, E.W.T. (2020). A note on big data analytics capability development in supply chain. Decision Support Systems, 138, 113382.

Jiang, R.J., Tao, Q.T., & Santoro, M.D. (2010). Alliance portfolio diversity and firm performance. Strategic Management Journal, 31(10), 1136-1144.

Jones, T. M., Harrison, J. S., & Felps, W. (2018). How applying instru-mental stakeholder theory can provide sustainable competitive advantage. Academy of Management Review, 43(3), 371-391.

Joreskog, K.G. & Sorbom, D. (1996). LISREL 8: User’s Reference guide. Chicago Scientific Software International.

Kamukama, N. & Sulait, T. (2017). Intellectual capital and competitive advantage I Uganda’s microfinance industry. African Journal of Economic and Management Studies, 8(4), 498-514.

Katkalo, V., Pitelis, C., & Teece, D. (2010). Introduction: On the nature and scope of dynamic capabilities. Industrial and Corporate Change, 19(4), 1175-1186.

Kenny, D.A., Kaniskan, B., & McCoach, D.B. (2011). The Performance of RMSEA in Models with Small Degrees of Freedom. Unpublished paper, University of Connecticut.

Khan S.Z., Yang Q., & Waheed, A. (2019). Investment in intangible resources and capabilities spurs sustainable competitive advantage and firm performance. Corporate Social Responsibility and Environmental Management, 26(2), 285-295.

Khalique, M., Bontis, N., Shaari, J.A.N.B, & Md. Isa, A.H. (2015). Intellectual capital in small and medium enterprises in Pakistan. Journal of Intellectual Capital, 16(1), 224-238.

Kianto, A., Ritala, P.,Vanhala, M., & Hussinki, H. (2020). Reflections on the criteria for the sound measurement of intellectual capital: A knowledge-based perspective, Critical Perspectives on Accounting, 70, 102046.

Kogut, B. & Kulatilaka, N. (2001). Capabilities as real options. Organization Science, 12(6), 744-758.

Kumar, V., Chibuzo, E.N., Garza-Reyes, J.A., Kumari, A., Rocha-Lona, L. & Lopez-Torres, G.C. (2017). The impact of supply chain integration on performance: Evidence from the UK food sector. Procedia Manufacturing, 11, 814-821.

Latif, Z., Lei, W., Latif, S., Pathan, Z.H., Ullah, R., & Jianqiu, Z. (2019). Big data challenges: Prioritizing by decision-making process using Analytic Network Process technique. Multimedia Tools and Applications, 78, 27127-27153.

Latif, Z., Pathan, Z.H., Ximei, L., Tunio, M.Z., Jianqiu, Z., & Sadozai, S.K., (2018). A Review of Policies concerning development of Big Data Industry in Pakistan: Development of Big Data Industry in Pakistan. 2018 International Conference on Computing, Mathematics and Engineering Technologies – iCoMET 2018.

Lee, H.L. (2004). The triple-a supply chain. Harvard Business Review, 82(10), 102-113.
Li, D.Y. & Liu, J. (2014). Dynamic capabilities, environmental dynamism, and competitive advantage: Evidence from China. Journal of Business Research, 67(1) 2793-2799.

Li, W. & Chen, J. (2018). Backward integration strategy in a retailer Stackelberg supply chain. Omega-international Journal of Management Science, 75, 118-130.

Liu, H., Wei, S., Ke, W., Wei, K., & Hua, Z. (2016). The configuration between supply chain integration and information technology competency: A resource orchestration perspective. Journal of Operations Management, 44, 13-29.

Liu, Y., Blome, C., Sanderson, J., & Paulraj, A. (2018). Supply chain integration capabilities, green design strategy and performance: A comparative study in the auto industry. Supply Chain Management, 23(5), 431-443.

Lu, L.H. & Huang, Y.F. (2019). Manufacturing strategy, organizational slack, and the formation of interfirm linkages. Chinese Management Studies, 13(1), 70-92.

Lu, Y. & Ramamurthy, K. (2011). Understanding the link between information technology capability and organizational agility: An empirical examination. MIS Quarterly, 35(4), 931-954.

Luo, Y., Huang, Y., & Wang, S.L. (2012). Guanxi and organizational performance: A meta-analysis. Management and Organization Review, 8(1), 139-172.

MacCallum, R.C. & Hong, S. (1997). Power analysis in covariance structure modeling us-ing GFI and AGFI. Multivariate Behavioral Research, 32,193-210.

Mackelprang, A.W., Robinson, J.l., Bernardes, E., & Webb, G.S. (2014). The relationship between strategic supply chain integration and performance: A meta-analytic evaluation and implications for supply chain management research. Journal of Business Logistics, 35(1), 71-96.

MacKinnon, D. P. (2008). Introduction to Statistical Mediation Analysis. Taylor & Francis Group/Lawrence Erlbaum Associates.

Magistretti, S., Era, C.D., & Petruzzelli, A.M. (2019). How intelligent is Watson? Enabling digital transformation through artificial intelligence. Business Horizons, 62(6), 819-829.

Malhotra, N., Kim, S., & Patil, A. (2006). Common method variance in is research: A comparison of alternative approaches and a reanalysis of past research. Management Science, 52(12), 1865-1883.

Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C. & Byers, A.H. (2011), Big Data: The Next Frontier for Innovation, Competition, and Productivity. McKinsey Global Institute, San Francisco.

Marzo, G. & Scarpino, E. (2016). Exploring intellectual capital management in SMEs: An in-depth Italian case study. Journal of Intellectual Capital, 17, 27-51.

Mehralian, G., Nazari, J.A., & Ghasemzadeh, P. (2018). The effects of knowledge creation process on organizational performance using the BSC approach: The mediating role of intellectual capital. Journal of Knowledge Management, 22(4), 802-823.

Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J. (2019). Big Data analytics capabilities and innovation: The mediating role of dynamic capabilities and moderating effect of the environment. British Journal of Management, 30(2), 272-298.

Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J. (2020). The role of information governance in big data analytics driven innovation. Information & Management, 57(7), 103361.

Mikalef, P., Krogstie, J., Pappas, I.O., & Pavlou, P. (2020). Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities. Information and Management, 57(2), 103169.

Mucelli, A. & Marinoni, C. (2011). Relational capital and open innovation: Two cases of successful Italian companies. Journal of Modern Accounting and Auditing, 7 (5), 474-486.

Naseer, S., Khawaja, K.F., Qazi, S., Syed, F., & Shamim, F. (2021). How and when information proactiveness leads to operational firm performance in the banking sector of Pakistan? The roles of open innovation, creative cognitive style, and climate for innovation. International Journal of Information Management, 56, 102260.

Nieves, J. & Haller, S. (2014). Building dynamic capabilities through knowledge resources. Tourism Management, 40, 224-232.

Novak, T. (1995). MANOVAMAP: Graphical representation of MANOVA in marketing research. Journal of Marketing Research, 32(3), 357-374.

Olarewaju, O.M. & Msomi, S.M. (2021). Intellectual capital and financial performance of South African development community’s general insurance companies. Heliyon,7(4), e06712.

Pandza, K., Horsburgh, S., Gorton, K., & Polajnar, A. (2003). A real options approach to managing resources and capabilities. International Journal of Operations & Production Management, 23(9), 1010-1032.

Papadopoulos, T., Gunasekaran, A., Dubey, R., & Wamba, S. F. (2017). Big data and analytics in operations and supply chain management: Managerial aspects and practical challenges. Production Planning & Control, 28(11-12), 873-876.

Peteraf, M.A. (1993). The cornerstones of competitive advantage: A resource-based view. Strategic Management Journal, 14(3), 179-191.

Pitoura, E. & Bhargava, B. (1999). Data consistency in intermittently connected distributed systems. IEEE Transactions on Knowledge and Data Engineering, 11(6), 896-915.

Pradana, M., Pérez-Luño, A., & Fuentes-Blasco, M. (2020). Innovation as the key to gain performance from absorptive capacity and human capital. Technology Analysis & Strategic Management, 32(7), 822-834.

Preacher, K.J. & Hayes, A.F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40, 879-891.

Preacher, K. & Hayes, A. (2008). Contemporary approaches to assessing mediation in communication research. In Hayes, A. F., Slater, M. D., & Snyder, L. B. (Eds.), The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research (pp. 13-54). Sage Publications, Inc.

Rai, A., Patnayakuni, R., & Seth, N. (2006). Firm performance impacts of digitally enabled supply chain integration capabilities. MIS Quarterly, 30(2), 225-246.

Reijsen, J.V., Helms, R., Batenburg, R., & Foorthuis, R. (2014). The impact of knowledge management and social capital on dynamic capability in organizations. Knowledge Management Research & Practice, 13(4), 401-417.

Rezaee, Z. & Wang, J. (2018). Relevance of big data to forensic accounting practice and education. Managerial Auditing Journal, 34(3), 268-288.

Richey, R.G. Jr, Morgan, T.R., Lindsey-Hall, K., & Adams, F.G. (2016). A global exploration of big data in the supply chain. International Journal of Physical Distribution & Logistics Management, 46(8), 710-739.

Romano, A., Passiante, G., Del Vecchio, P., & Secundo, G. (2014). The innovation ecosystem as booster for the innovative entrepreneurship in the smart specialization strategy. International Journal of Knowledge Based Development, 5(3), 271-288.

Rooney, J., & Dumay, J. (2018). Intellectual capital and innovation. In J. Guthrie, J. Dumay, F. Ricceri, & C. Nielsen (Eds.), The Routledge Companion to Intellectual Capital (pp. 185-195). Routledge, Taylor and Francis Group.

Rupčić, N. (2019). Learning organization – organization emerging from presence. The Learning Organization, 27(1), 17-30.

Sampoon, C. B., & Breuring, H. L., (1971). Some statistical aspects of pharmaceutical cotent uniformity. Journal of Quality Technology, 3, 170-178.

Schumacker, R. E. & Lomax, R. G. (1996). A Beginner′s Guide to Structural Equation Modeling. Mahwah, NJ: Lawrence Erlbaum Associates.

Schmenner, R.W. (2001). Looking ahead by looking back: Swift, even flow in the history of manufacturing. Production and Operations Management, 10(1), 87-96.

Schoenherr, T. & Speier-Pero, C. (2015). Data science, predictive analytics, and big data in supply chain management: Current state and future potential. Journal of Business Logistics, 36(1), 120-132.

Schoenherr, T. & Swink, M. (2012). Revisiting the arcs of integration: Cross-validations and extensions. Journal of Operations Management, 30(1), 99-115.

Secundo, G., Del Vecchio, P., Dumay, J., & Passiante, G. (2017). Intellectual capital in the age of Big Data: Establishing a research agenda. Journal of Intellectual Capital, 18(2), 242-261.

Seo, Y.J., Dinwoodie, J., & Kwak, D.W. (2014). The impact of innovativeness on supply chain performance: Is supply chain integration a missing link? Supply Chain Management: An International Journal, 19 (5/6), 733-746.

Shamim, S., Zeng, J., Khan, Z., & UlZia, N. (2020). Big data analytics capability and decision making performance in emerging market firms: The role of contractual and relational governance mechanisms. Technological Forecasting and Social Change, 161, 120315.

Sharma, S., Mukherjee, S., Kumar, A., & Dillon, W.R. (2005). A simulation study to investigate the use of cutoff values for assessing model fit in covariance structure models. Journal of Business Research, 58, 935-943.

Shou, Y., Li, Y., Park, Y., & Kang, M. (2017). The impact of product complexity and variety on supply chain integration. International Journal of Physical Distribution & Logistics Management, 47, 297-317.

Silva, P.D., Neto, G.C.D.O., Correia, J.M.F., & Tucci, H.N.P.T. (2021). Evaluation of economic, environmental and operational performance of the adoption of cleaner production: Survey in large textile industries. Journal of Cleaner Production, 278, 123855.

Sivo, S.A., Fan, X., Witta, E.L., & Willse, J.T. (2006). The search for "optimal" cutoff properties: Fit index criteria in structural equation modeling. The Journal of Experimental Education, 74(3), 267-288.

Sobel, M.E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. Sociological Methodology, 13, 290-312.

Srinivasan, R. & Swink, M. (2018). An investigation of visibility and flexibility as complements to supply chain analytics: An organizational information processing theory perspective. Production and Operations Management, 27, 1849-1867.

Stank, T.P., Keller, S.B., & Daugherty, P.J. (2001). Supply chain collaboration and logistical service performance. Journal of Business Logistics, 22(1), 29-48.

Su, H.Y. (2014). Business ethics and the development of intellectual capital. Journal of Business Ethics, 119, 87-98.

Subramaniam, M. & Youndt, M.A. (2005). The influence of intellectual capital on thetypes of innovative capabilities. Academy of Management Journal, 48(3), 450-463.

Sun, B. & Liu, Y. (2020). Business model designs, big data analytics capabilities and new product development performance: Evidence from China. European Journal of Innovation Management, 24(4), 1162-1183.

Tan, K.H., Zhan, Y., Ji, G., Ye, F., & Chang, C. (2015). Harvesting big data to enhance supply chain innovation capabilities: An analytic infrastructure based on deduction graph. International Journal of Production Economics, 165, 223-233.

Tian, J., Wang, K., Chen, Y., & Johansson, B. (2010). From IT deployment capabilities to competitive advantage: An exploratory study in China. Information System Frontiers, 12 (3), 239-255.

Ting, I.W.K., Ren, C., Chen, F.C., & Kweh, Q.L. (2020).
Interpreting the dynamic performance effect of intellectual capital through a value-added-based perspective. Journal of Intellectual Capital, 21(3), 381-401.

Titah, R., Shuraida, S., & Rekik, Y. (2016). Integration breach: Investigating the effect of internal and external information sharing and coordination on firm profit. International Journal of Production Economics, 181(A), 34-47.

De Toni A. F. & Tonchia S. (2003). Strategic planning and firm’s competencies:Traditional approaches and new perspectives. International journal of operations and production management, 23(9), 947-976.

Verma, P., Singh, B., & Rao, M.K. (2014). Developing innovation capability: The role of organizational learning culture and task motivation. Global Journal of Finance and Management, 6(7), 575-582.

Verona, G. & Ravasi, D. (2003). Unbundling dynamic capabilities: An exploratory study of continuous product innovation, Industrial and Corporate Change, 12(3), 577-606.

Wagner, D.N. (2020). The nature of the Artificially Intelligent Firm - An economic investigation into changes that AI brings to the firm. Telecommunications Policy, 44(6), 101954.

Wamba, S.F. (2017). Big data analytics and business process innovation. Business Process Management Journal, 23(3), 470-476.

Wamba, S.F., Gunasekaran, A., kter, S., Ren, AS.J. f., Dubey, R., & Childe, S.J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356-365.

Wang, C., Zhang, Q., & Zhang, W. (2020). Corporate social responsibility, Green supply chain management and firm performance: The moderating role of big-data analytics capability. Research in Transportation Business & Management, 37, 100557.

Wang, G., Gunasekaran, A., Ngai, E.W., & Papadopoulos, T. (2016). Big data analytics in logistics and supply chain management: Certain investigations for research and applications. International Journal of Production Economics, 176, 98-110.

Wang, M.M. & Wang, J.J. (2019). How vendor capabilities impact IT outsourcing performance: An investigation of moderated mediation model. Journal of Enterprise Information Management, 32(2), 325-344.

Wernerfelt, B. (1984). A resource-based view of the firm. Strategic Management Journal, 5(2), 171-180.

Wong, C.Y., Boon-itt, S., & Wong, C.W.Y. (2011). The contingency effects of environmental uncertainty on the relationship between supply chain integration and operational performance. Journal of Operations Management, 29(6), 604-615.

Xu, S., Su, Y., & Gao, A. (2019). Design of trusted behavior clustering system for ship’s Internet of things terminal based on big data analysis. Journal of Coastal Research, 177-183.

Yang, C., Chaudhuri, A., & Farooq, S. (2016). Interplant coordination, supply chain integration, and operational performance of a plant in a manufacturing network: A mediation analysis. Supply Chain Management: An International Journal, 21(5), 550-568.

Yang, C.C. & Lin, C.Y.Y. (2009). Does intellectual capital mediate the relationship between HRM and organizational performance? Perspective of a healthcare industry in Taiwan. International Journal of Human Resource Management, 20(9), 1965-1984.

Yu, W., Chavez, R., Mark, A., & Feng, M., (2018). Data-driven supply chain capabilities and performance: A resource-based view. Transportation Research Part E: Logistics and Transportation Review, 114, 371-385.

Yu, Y., Huo, B., & Zhang, Z. (2020). Impact of information technology on supply chain integration and company performance: Evidence from cross-border e-commerce companies in China. Journal of Enterprise Information Management, 34, 460-489.

Zhang, H., Xiao, H., Wang, Y., Shareef, M.A., Goraya, M.A.S., & Akram, M.S. (2020). An integration of antecedents and outcomes of business model innovation: A meta-analytic review. Journal of Business Research, Vol. ahead-of-print No. ahead-of-print.

Zhang, J. & Wu, W. (2013). Social capital and new product development outcomes: The mediating role of sensing capability in Chinese high-tech firms. Journal of World Business, 48(4), 539-548.

Zhao, X., Huo, B., Selen, W., & Yeung, J.H.Y. (2011). The impact of internal integration and relationship commitment on external integration. Journal of Operations Management, 29(1-2), 17-32.

二、網路資料
Kenny, D.A. (2015). Mediation. Retrieved Jan 10, 2021, from https://reurl.cc/KrEepp

Richardson, A. (2019). Why AI is key to unlock the true value of industry 4.0. Retrieved Jan 10, 2021, from https://reurl.cc/L7eWpX
指導教授 陳春希(Chun-Hsi Vivian Chen) 審核日期 2022-1-14
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明