题名

大數據之任務績效：研發－行銷策略制定、大數據能力與資料敘事能力之適配研究

并列篇名

Big-Data Analytics and Task Performance: The Role of Task‐People‐Technology Fit

作者

張伊婷(Jamie Yi-Ting Chang)；蔡家安(Jacob Chia-An Tsai)；吳岳穎(Tim Yueh-Ying Wu)；黃妍恆(Yen-Heng Huang)；陳勇叡(Yung-Jui Chen)

关键词

大數據 ； 任務科技適配 ； 人員科技適配 ； 資料敘事 ； 任務績效 ； Big data analytics ； task-technology fit ； people-technology fit ； data-driven storytelling ； task performance

期刊名称

資訊管理學報

卷期/出版年月

28卷4期（2021 / 10 / 31）

页次

361 - 394

内容语文

繁體中文
中文摘要

使用大數據提升決策品質與績效，常苦於對大數據能力的認知不足以及數據分析師缺乏專業能力，導致大數據無法在給定的任務之下發揮最大效用。本研究根據任務科技適配理論，從數據分析師觀點提出不同的適配—「任務科技適配」與「人員科技適配」—解釋影響大數據之任務績效的前因。針對臺灣前一千大企業內的數據分析師進行問卷調查研究，共計收回142份有效樣本。研究結果發現研發—行銷策略制定、大數據能力和資料敘事能力之間的適配程度對大數據之任務績效有不同的影響效果，研發—行銷策略制定與數據分析能力的適配對新產品開發績效有正向顯著影響，而資料敘事能力與數據整合能力的適配對流程整合績效有正向顯著影響。本研究延伸任務科技適配理論於大數據使用情境，並根據研究結果提出學術與實務上的建議。
英文摘要

Organizations are increasingly implementing Big-Data Analytics (BDA) to attain superior performance. However current literature on BDA offers little insight on achieving task performance from the perspectives of a business analyst. As a result, we propose a framework that benefits business analysts by aligning task-technology fit and people-technology fit throughout their BDA usage. By using primary data from 142 business analysts among top 1,000 Taiwanese firms and utilizing partial least squares, we tested the impacts of fit on BDA-related task performances. This study highlights the significance of the task-people-technology fit, and the importance of data-driven storytelling in translating BDA capabilities into BDA-related task performance.
主题分类 基礎與應用科學 > 資訊科學
社會科學 > 管理學
参考文献
  1. 王舒民,林娟娟,簡子晴,鄒仁淳(2016)。由任務科技配適度觀點探討司法人員資訊系統使用與工作績效之影響因子。臺大管理論叢，26(2)，273-302。
    連結：
  2. 吳玲玲,李藍瑜,蘇席儀(2008)。消費前資訊搜尋之網站接受度。資訊管理學報，15(3)，227-250。
    連結：
  3. 阮明淑(2019)。資料敘事分析之概念性框架初探。圖書館學與資訊科學，45(1)，97-125。
    連結：
  4. 林我聰,郭建良(2002)。製造業快速回應系統之參考架構的建立。資訊管理學報，8(2)，45-72。
    連結：
  5. 陳至柔,吳如娟(2014)。探討產品模組化對供應鏈關係品質、知識分享及新產品開發績效間關係之調節作用。電子商務學報，16(3)，339-386。
    連結：
  6. 陳至柔,吳如娟,林松江(2016)。雲端 CRM 系統持續使用意圖之實證研究：整合任務—科技適配模式與體制理論。電子商務學報，18(1)，103-140。
    連結：
  7. 陳建志,陳鴻基,曹承礎(2006)。知識工作者任務與知識管理系統之適配模式。資訊管理學報，13(S)，41-65。
    連結：
  8. 陳禹辰,尚榮安,劉蔚廷(2010)。以 TAM 與 TTF 探討組織員工的 e 化科技接受意圖─組織疏離員工的組織學習效應。資訊管理學報，17(4)，139-169。
    連結：
  9. 陳家祥,鄒鴻泰(2008)。資訊科技採納對新產品開發成功之影響。資訊管理學報，15(1)，1-28。
    連結：
  10. 劉籹君,黃興進,廖則竣(2010)。決策支援系統使用績效之實證研究：結合任務—科技適配與資訊系統成功模式。電子商務學報，12(3)，407-430。
    連結：
  11. Akhtar, P.,Frynas, J.G.,Mellahi, K.,Ullah, S.(2019).Big data‐savvy teams’ skills, big data‐driven actions and business performance.British Journal of Management,30(2),252-271.
  12. Akter, S.,Wamba, S.F.,Gunasekaran, A.,Dubey, R.,Childe, S.J.(2016).How to improve firm performance using big data analytics capability and business strategy alignment?.International Journal of Production Economics,182,113-131.
  13. Aljukhadar, M.,Senecal, S.,Nantel, J.(2014).Is more always better? Investigating the task technology fit theory in an online user context.Information & Management,51(4),391-397.
  14. Al-Sai, Z.A.,Abdullah, R.,Husin, M.H.(2020).Critical success factors for big data: A systematic literature review.IEEE Access,8,118940-118956.
  15. Anderson, M.,Banker, R.D.,Menon, N.M.,Romero, J. A.(2011).Implementing enterprise resource planning systems: Organizational performance and the duration of the implementation.Information Technology and Management,12(3),197-212.
  16. Ariño, A.,de la Torre, J.(1998).Learning from failure: Towards an evolutionary model of collaborative ventures.Organization Science,9(3),306-325.
  17. Armstrong, J.S.,Overton, T. S.(1977).Estimating nonresponse bias in mail surveys.Journal of Marketing Research,14(3),396-402.
  18. Awad, H.A.H.(2020).Investigating employee performance impact with integration of task technology fit and technology acceptance model: The moderating role of self-efficacy.International Journal of Business Excellence,21(2),231-249.
  19. Bagozzi, R.P.,Yi, Y.(1988).On the evaluation of structural equation models.Journal of the Academy of Marketing Science,16(1),74-94.
  20. Benlian, A.(2015).IT feature use over time and its impact on individual task performance.Journal of the Association for Information Systems,16(3),144-173.
  21. Bozaykut, T.,Kuyucu, E.,Pinar, I.(2016).Investigating the antecedents of task-technology fit: A field study in Turkish private hospitals.International Journal of Business Information Systems,22(4),516-529.
  22. Burton-Jones, A.,Straub, D.W., Jr(2006).Reconceptualizing system usage: An approach and empirical test.Information Systems Research,17(3),228-246.
  23. Cao, M.,Zhang, Q.(2011).Supply chain collaboration: Impact on collaborative advantage and firm performance.Journal of Operations Management,29(3),163-180.
  24. Chang, W.,Taylor, S.A.(2016).The effectiveness of customer participation in new product development: A meta-analysis.Journal of Marketing,80(1),47-64.
  25. 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.
  26. Chen, H.,Chiang, R.H.,Storey, V.C.(2012).Business intelligence and analytics: From big data to big impact.MIS Quarterly,36(4),1165-1188.
  27. Chin, W.W.,Marcolin, B.L.,Newsted, P.R.(2003).A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study.Information Systems Research,14(2),189-217.
  28. Clark, K.B.,Fujimoto, T.(1989).Overlapping problem solving in product development.Managing international manufacturing,North Holland:
  29. Cohen, J.,Cohen, P.,West, S.G.,Aiken, L.S.(2013).Applied multiple regression/correlation analysis for the behavioral sciences.Routledge.
  30. Cooper, R.G.(2019).The drivers of success in new-product development.Industrial Marketing Management,76,36-47.
  31. Cooper, R.G.(1996).Overhauling the new product process.Industrial Marketing Management,25(6),465-482.
  32. Cooper, R.G.,Kleinschmidt, E. J.(1993).Major new products: What distinguishes the winners from the losers in the chemical industry?.Journal of Product Innovation Management,10(2),90-111.
  33. D'Ambra, J.,Wilson, C.,Akter, S.(2013).Application of the task-technology fit model to structure and evaluate the adoption of E-books by academics.Journal of the American Society for Information Science and Technology,64(1),48-64.
  34. Demirkan, H.,Delen, D.(2013).Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud.Decision Support Systems,55(1),412-421.
  35. Digital News Asia (2019), Why 85% of Big Data projects fail, https://www.digitalnewsasia.com/insights/why-85-big-data-projects-fail
  36. Duan, L.,Xiong, Y.(2015).Big data analytics and business analytics.Journal of Management Analytics,2(1),1-21.
  37. Edgett, S.,Forbes, G.,Shipley, D.(1992).Japanese and British companies compared: Contributing factors to success and failure in NPD.Journal of Product Innovation Management,9(1),3-10.
  38. Ernst, H.(2002).Success factors of new product development: A review of the empirical literature.International Journal of Management Reviews,4(1),1-40.
  39. Erskine, M.A.,Gregg, D.G.,Karimi, J.,Scott, J.E.(2019).Individual decision-performance using spatial decision support systems: A geospatial reasoning ability and perceived task-technology fit perspective.Information Systems Frontiers,21(6),1369-1384.
  40. Fain, N.,Kline, M.,Duhovnik, J.(2011).Integrating R&D and marketing in new product development.Strojniski Vestnik,57(7-8),599-609.
  41. Fink, L.,Yogev, N.,Even, A.(2017).Business intelligence and organizational learning: An empirical investigation of value creation processes.Information & Management,54(1),38-56.
  42. Florén, H.,Frishammar, J.,Parida, V.,Wincent, J.(2018).Critical success factors in early new product development: A review and a conceptual model.International Entrepreneurship and Management Journal,14(2),411-427.
  43. Fornell, C.,Larcker, D.F.(1981).Structural equation models with unobservable variables and measurement error: Algebra and statistics.Journal of Marketing Research,18(3),382-388.
  44. Fu, J.,Shang, R.A.,Jeyaraj, A.,Sun, Y.,Hu, F.(2019).Interaction between task characteristics and technology affordances.Journal of Enterprise Information Management,33(1),1-22.
  45. Fundin, A.,Elg, M.(2010).Continuous learning using dissatisfaction feedback in new product development contexts.International Journal of Quality & Reliability Management,27(8),860-877.
  46. Ghasemaghaei, M.,Calic, G.(2019).Can big data improve firm decision quality? The role of data quality and data diagnosticity.Decision Support Systems,120,38-49.
  47. Ghasemaghaei, M.,Hassanein, K.,Turel, O.(2017).Increasing firm agility through the use of data analytics: The role of fit.Decision Support System,101,95-105.
  48. Ghobakhloo, M.,Tang, S.H.,Sabouri, M.S.,Zulkifli, N.(2014).The impact of information system-enabled supply chain process integration on business performance: A resource-based analysis.International Journal of Information Technology & Decision Making,13(5),1075-1113.
  49. Goodhue, D.L.,Thompson, R.L.(1995).Task-technology fit and individual performance.MIS Quarterly,19(2),213-233.
  50. Grover, V.,Chiang, R.H.,Liang, T.P.,Zhang, D.(2018).Creating strategic business value from big data analytics: A research framework.Journal of Management Information Systems,35(2),388-423.
  51. Gunasekaran, A.,Papadopoulos, T.,Dubey, R.,Wamba. S.F.,Childe, S.J.,Hazen, B.,Akter, S.(2017).Big data and predictive analytics for supply chain and organizational performance.Journal of Business Research,70,308-317.
  52. Gupta, M.,George, J.F.(2016).Toward the development of a big data analytics capability.Information & Management,53(8),1049-1064.
  53. Hair, J.F.,Celsi, M.,Money, A.H.,Samouel, P.,Page, M.(2016).The Essentials of Business Research Methods.New York:Routledge.
  54. 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.
  55. Homburg, C.,Alavi, S.,Rajab, T.,Wieseke, J.(2017).The contingent roles of R&D-sales versus R&D-marketing cooperation in new-product development of business-to-business firms.International Journal of Research in Marketing,34(1),212-230.
  56. Hou, W.,Gao, S.(2018).An investigation of the managerial use of mobile business intelligence.Pacific Asia Journal of the Association for Information Systems,10(3),87-108.
  57. Hughes, P.,Morgan, R.E.(2007).A resource-advantage perspective of product-market strategy performance and strategic capital in high technology firms.Industrial Marketing Management,36(4),503-517.
  58. Janssen, M.,van der Voort, H.,Wahyudi, A.(2017).Factors influencing big data decision-making quality.Journal of Business Reasearch,70,338-345.
  59. Jardina, J. R.,Chaparro, B.S.,Abdinnour, S.(2021).Extending the Task-Technology Fit (TTF) model to E-textbook usage by students and instructors.International Journal of Information and Communication Technology Education,17(1),120-137.
  60. Jayaram, J.,Ahire, S.L.,Dreyfus, P.(2010).Contingency relationships of firm size, TQM duration, unionization, and industry context on TQM implementation-A focus on total effects.Journal of Operations Management,28(4),345-356.
  61. Jha, A.K.,Agi, M.A.,Ngai, E.W.(2020).A note on big data analytics capability development in supply chain.Decision Support Systems,138,113382.
  62. Ji, W.,Wang, L.(2017).Big data analytics based fault prediction for shop floor scheduling.Journal of Manufacturing Systems,43,187-194.
  63. Johnson, J. S.,Friend, S.B.,Lee, H.S.(2017).Big data facilitation, utilization, and monetization: Exploring the 3Vs in a new product development process.Journal of Product Innovation Management,34(5),640-658.
  64. Kafetzopoulos, D.P.,Psomas, E.L.,Gotzamani, K.D.(2015).The impact of quality management systems on the performance of manufacturing firms.International Journal of Quality & Reliability Management,32(4),381-399.
  65. Karimi, J.,Somers, T.M.,Bhattacherjee, A.(2007).The role of information systems resources in ERP capability building and business process outcomes.Journal of Management Information Systems,24(2),221-260.
  66. Lai, Y.,Sun, H.,Ren, J.(2018).Understanding the determinants of big data analytics (BDA) adoption in logistics and supply chain management.The International Journal of Logistics Management,29(2),676-703.
  67. Lam, P.K.,Chin, K.S.(2005).Identifying and prioritizing critical success factors for conflict management in collaborative new product development.Industrial Marketing Management,34(8),761-772.
  68. Lee, C.-C.,Cheng, H.K.,Cheng, H.H.(2007).An empirical study of mobile commerce in insurance industry: Task-technology fit and individual differences.Decision Support Systems,43(1),95-110.
  69. Liang, H.,Saraf, N.,Hu, Q.,Xue, Y.(2007).Assimilation of enterprise systems: The effect of institutional pressures and the mediating role of top management.MIS Quarterly,31(1),59-87.
  70. Lin, C.T.,Wu, W.J.,Cheng, L.M.(2015).Towards understanding integration of heavyweight-product managers and collaboration software in collaborative product development: An empirical study in Taiwan.Technological Forecasting and Social Change,99,156-167.
  71. Linthicum, D.S.(2017).Cloud computing changes data integration forever: What's needed right now.IEEE Cloud Computing,4(3),50-53.
  72. Ma, C.M.,Chao, C.M.,Cheng, B.W.(2013).Integrating technology acceptance model and task-technology fit into blended e-learning system.Journal of Applied Sciences,13(5),736-742.
  73. Madsbjerg, C.,Rasmussen, M.(2014).The moment of clarity: Using the human sciences to solve your toughest business problems.Harvard Business Review Press.
  74. Malhotra, N.K.,Kim, S.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.
  75. Marsh, S.J.,Stock, G.N.(2003).Building dynamic capabilities in new product development through intertemporal integration.Journal of Product Innovation Management,20,136-148.
  76. Massetti, B.,Zmud, R.W.(1996).Measuring the extent of EDI usage in complex organizations: Strategies and illustrative examples.MIS Quarterly,20(3),331-345.
  77. Müller, O.,Fay, M.,vom Brocke, J.(2018).The effect of big data and analytics on firm performance: An econometric analysis considering industry characteristics.Journal of Management Information Systems,35(2),488-509.
  78. Nielsen, P.A.,Tjørnehøj, G.(2010).Social networks in software process improvement.Journal of Software Maintenance and Evolution: Research and Practice,22(1),33-51.
  79. Nunnally, J.C.(1978).Psychometric Theory.New York:McGrawHill.
  80. Perdana, A.,Robb, A.,Rohde, F.(2019).Interactive data and information visualization: Unpacking its characteristics and influencing aspects on decision-making.Pacific Asia Journal of the Association for Information Systems,11(4),75-104.
  81. Pesqueira, A.,Sousa, M.J.,Rocha, Á.(2020).Big data skills sustainable development in healthcare and pharmaceuticals.Journal of Medical Systems,44(11),1-15.
  82. Podsakoff, P.M.,Organ, D.W.(1986).Self-reports in organizational research: Problems and rospects.Journal of Management,12(4),531-544.
  83. Rai, R.,Selnes, F.(2019).Conceptualizing task-technology fit and the effect on adoption - A case study of a digital textbook service.Information & Management,56(8),103-161.
  84. Rao, T.R.,Mitra, P.,Bhatt, R.,Goswami, A.(2019).The big data system, components, tools, and technologies: A survey.Knowledge and Information Systems,60(3),1165-1245.
  85. Serrano, C.,Karahanna, E.(2016).The compensatory interaction between user capabilities and technology capabilities in influencing task performance: An empirical assessment in telemedicine consultations.MIS Quarterly,40(3),597-621.
  86. Shah, N.,Irani, Z.,Sharif, A.M.(2017).Big data in an HR context: Exploring organizational change readiness, employee attitudes and behaviors.Journal of Business Research,70,366-378.
  87. Shamim, S.,Zeng, J.,Choksy, U.S.,Shariq, S.M.(2020).Connecting big data management capabilities with employee ambidexterity in Chinese multinational enterprises through the mediation of big data value creation at the employee level.International Business Review,29(6),101604.
  88. Shamim, S.,Zeng, J.,Shariq, S.M.,Khan, Z.(2019).Role of big data management in enhancing big data decision-making capability and quality among Chinese firms: A dynamic capabilities view.Information & Management,56(6),103-135.
  89. Siemsen, E.,Roth, A.,Oliveira, P.(2010).Common method bias in regression models with linear, quadratic, and interaction effects.Organizational Research Methods,13(3),456-476.
  90. 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(10),1849-1867.
  91. Stockstrom, C.,Herstatt, C.(2008).Planning and uncertainty in new product development.R&D Management,38(5),480-490.
  92. Sumbal, M.S.,Tsui, E.,See-to, E.W.K.(2017).Interrelationship between big data and knowledge management: An exploratory study in the oil and gas sector.Journal of Knowledge Management,21(1),180-196.
  93. 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
  94. Tam, C.,Oliveira, T.(2019).Does culture influence m-banking use and individual performance?.Information & Management,56(3),356-363.
  95. Tan, K.H.,Zhan, Y.(2017).Improving new product development using big data: A case study of an electronics company.R&D Management,47(4),570-582.
  96. 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.
  97. Torres, R.,Sidorova, A.,Jones, M.C.(2018).Enabling firm performance through business intelligence and analytics: A dynamic capabilities perspective.Information & Management,55(7),822-839.
  98. Triche, J.,Cao, Q.,Thompson, M.(2012).Using multiple-case studies to investigate relationships among knowledge management systems, business process and business performance: A task technology fit perspective.AMCIS 2012 Proceedings
  99. Trkman, P.,McCormack, K.,De Oliveira, M.P.V.,Ladeira, M.B.(2010).The impact of business analytics on supply chain performance.Decision Support Systems,49(3),318-327.
  100. Tsai, C. W.,Yang, Y. L.,Chiang, M. C.,Yang, C. S.(2014).Intelligent big data analysis: A review.International Journal of Big Data Intelligence,1(4),181-191.
  101. Um, K.H.,Oh, J.Y.(2021).The mediating effects of cognitive conflict and affective conflict on the relationship between new product development task uncertainty and performance.International Journal of Project Management,39(1),85-95.
  102. Valaei, N.,Nikhashemi, S.R.,Bressolles, G.,Jin, H.H.(2019).A (n)(a) symmetric perspective towards task-technology-performance fit in mobile app industry.Journal of Enterprise Information Management
  103. Vatanasakdakul, S.,Aoun, C.,Putra, Y.H.S.(2020).Social media in micro-enterprises: Exploring adoption in the Indonesian retail sector.Journal of Global Information Management,28(3),184-203.
  104. Verma, A.,Yurov, K.,Lane, P.,Yurova, Y.(2019).An investigation of skill requirements for business and data analytics positions: A content analysis of job advertisements.Journal of Education for Business,94(4),243-250.
  105. Wamba, S.F.,Gunasekaran, A.,Akter, S.,Ren, S.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.
  106. Wang, Y.,Kung, L.,Byrd, T.A.(2018).Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations.Technological Forecasting and Social Change,126,3-13.
  107. Wetzels, M.,Odekerken-Schröder, G.,van Oppen, C.(2009).Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration.MIS Quarterly,33(1),177-195.
  108. Whyte, J.,Stasis, A.,Lindkvist, C.(2016).Managing change in the delivery of complex projects: Configuration management, asset information and big data.International Journal of Project Management,34(2),339-351.
  109. Wu, B.,Chen, X.(2017).Continuance intention to use MOOCs: Integrating the Technology Acceptance Model (TAM) and Task Technology Fit (TTF) model.Computers in Human Behavior,67,221-232.
  110. Xiao, Y.,Zhang, H.,Basadur, T.M.(2016).Does information sharing always improve team decision making? An examination of the hidden profile condition in new product development.Journal of Business Research,69(2),587-595.
  111. Xu, Z.,Frankwick, G.L.,Ramirez, E.(2016).Effects of big data analytics and traditional marketing analytics on new product success: A knowledge fusion perspective.Journal of Business Research,69(5),1562-1566.
  112. Yang, H.D.,Kang, S.,Oh, W.,Kim, M.S.(2013).Are all fits created equal? A nonlinear perspective on task-technology fit.Journal of the Association for Information Systems,14(12),694-721.
  113. Yang, Z.,Sun, J.,Zhang, Y.,Wang, Y.(2019).Perceived fit between green IS and green SCM: Does it matter?.Information & Management,56(7),103154.
  114. Yen, D.C.,Wu, C.S.,Cheng, F.F.,Huang, Y.W.(2010).Determinants of users’ intention to adopt wireless technology: An empirical study by integrating TTF with TAM.Computers in Human Behavior,26(5),906-915.
  115. Yu, W.,Zhao, G.,Liu, Q.,Song, Y.(2020).Role of big data analytics capability in developing integrated hospital supply chains and operational flexibility: An organizational information processing theory perspective.Technological Forecasting and Social Change,120417.
  116. Zeng, J.,Glaister, K.W.(2018).Value creation from big data: Looking inside the black box.Strategic Organization,16(2),105-140.
  117. Zhang, X.(2017).Knowledge management system use and job performance: A multilevel contingency model.MIS Quarterly,41(3),811-840.
  118. Zhou, T.,Lu, Y.,Wang, B.(2010).Integrating TTF and UTAUT to explain mobile banking user adoption.Computers in Human Behavior,26(4),760-767.
  119. 詹文男,沈柏延(2020)。不只是導入資訊系統與流程改善，七大構面檢驗數位轉型。哈佛商業評論，2020(8 月號)，38-45。
print cancel