政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/134021
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113451/144438 (79%)
Visitors : 51245133      Online Users : 886
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
    政大典藏 > College of Commerce > Department of MIS > Theses >  Item 140.119/134021


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/134021


    Title: 影響營建業建築資訊模型導入意願之關鍵因素： 科技、組織、環境之構面探討
    Critical Factors of Adopting Building Information Modeling in Construction Industry: The Perspective of TOE
    Authors: 許耀堂
    Hsu, Yao-Tang
    Contributors: 洪為璽
    季延平
    Hung, Wei-Hsi
    Chi, Yan-Ping
    許耀堂
    Hsu, Yao-Tang
    Keywords: 建築資訊模型
    導入意願
    科技導入
    科技-組織-環境模型
    問卷調查
    Building information model
    Adoption intention
    Technology adoption
    TOE model
    Survey method
    Date: 2021
    Issue Date: 2021-03-02 14:19:10 (UTC+8)
    Abstract: 建築資訊模型（Building Information Model, BIM）是近代建築領域的一項創新技術，能夠改進整個部門的工作流程與效率。通過資訊的共享與視覺化，可以加速建築業合作夥伴之間的溝通，並改善建築供應鏈各個企業的決策和整合。BIM技術的發展對建築設計與施工公司造成了競爭壓力，導入與應用此技術的需求也日漸增加。然而，儘管研究人員和從業人員一致認為BIM具有許多潛在的好處，其在營建業的採用率仍然較低，導致目前建築全生命週期無法實現BIM技術所能帶來的好處。因此，對於要成功地在營建組織中採用BIM，了解影響BIM導入的因素至關重要。然而，BIM技術的接受與導入並不是企業單純的批准或拒絕可以決定的，許多因素都會影響BIM技術的接受和導入。
    本研究採納科技-組織-環境模型 (Technology, Organization and Environment, TOE)，來找出影響台灣建設公司導入BIM意願的影響因素。以問卷調查的方式，針對北部地區新北市、新竹市、新竹縣不動產開發商業同業公會會員，蒐集了436份有效問卷進行多元階層迴歸分析，以驗證本研究所提出之研究模型。研究結果發現，科技構面的相對優勢、相容性、複雜性、有用性，組織的高階主管支持、資訊科技基礎設施，以及環境構面的外部力量、政府政策等因素，皆會顯著影響營建業導入BIM的意願。而科技構面的導入成本以及組織構面的組織就緒度則不會造成顯著的影響。本研究為學術與實務的領域提供了，BIM技術在營建業中成功導入與實行的因素。此外，通過提高對影響BIM技術採納程度之影響因素的理解，營建相關人員以及政府能夠制訂相關之政策，以促進BIM技術在台灣的推動，近而改善建設公司的績效以及整體營建業的技術整合能力。希望透過本研究為實務人員提供重要參考依據，並為學術界提供不同的研究與思考方向。
    Building Information Model (BIM) is an innovative technology, which can improve the workflow and efficiency of the entire department, in the field of modern architecture. Through information sharing and visualization, communication between partners in the construction industry can be accelerated. Moreover, the decision-making and integration of various companies in the construction supply chain can be improved. The development of BIM technology has created competitive pressure on architectural design and construction companies, hence, the demand for the introduction and application of this technology is increasing. Although researchers and practitioners agree that BIM has several potential benefits, its adoption rate in the construction industry is still low, resulting in the current building life cycle unable to achieve the benefits of BIM technology. Therefore, to successfully adopt BIM in construction companies, it is important to understand the factors that affect the introduction of BIM. However, the acceptance and introduction of BIM is not determined by approval or rejection from managers, instead, many factors affect that.
    This study adopts the Technology, Organization and Environment (TOE) model to explore the factors that influence the willingness of Taiwanese construction companies to introduce BIM. By using survey method, 436 valid questionnaires were collected from the members of the Commercial Real Estate Development Association of New Taipei City, Hsinchu City, and Hsinchu County. Subsequently, a multiple hierarchical regression analysis was performed to verify the proposed research model. The results indicate that several variables significantly affect the willingness of introducing BIM in construction industry, which are relative advantages, compatibility, complexity, and perceived usefulness in technology dimension; top management support, IT infrastructure in organization dimension; and external force, government regulation in environment dimension. Nevertheless, technology cost and organizational readiness do not have a significant impact. This study provides factors for the successful introduction of BIM technology in the construction industry for the academic and practical fields. In addition, by understanding of the influencing factors that affect the adoption of BIM technology, construction personnel and the government can develop relevant policies to promote BIM technology in Taiwan. Moreover, the performance of construction companies and the technology integration of the overall construction industry can be improved. It is hoped that this research can provide important implications for practitioners and different research directions for the academic community.
    Reference: 一、中文文獻
    Public Construction Commission, Executive Yuan. (2004)。工程顧問服務業發展綱領及行動方案。
    王明德 (2014)。我國BIM的發展策略與實施藍圖推動架構之芻議 (BIM Development Strategy and Promotion Blueprint Implementation Framework)。工程 (Journal of the Chinese Institute of Engineers (JCIE)), 87(5), 46-58.
    王建安 (2014)。建築產業發展概況 (The overview of the construction industry development)。台灣地區房地產年鑑 (Taiwan Real Estate Almanac), 210, 248-265.
    王華弘 & 李賢文 (2004)。我國營造業進軍國際之策略。現代營建月刊 (Modern Construction of Civil Engineering and), 294, 67-74.
    周建宏 (2011)。導入國際財務報導準則－建設業的衝擊與挑戰。證券櫃檯 (OTC Monthly Review), 155, 89-91.
    吳明隆 (2006)。 SPSS統計應用學習實務-問卷分析與應用統計。Taipei, TW: 知城數位科技.
    何岫璁、陳宜清 & 楊卿源 (2017)。談營建產業工業化。營建知訊 (Construction News Record), 418, 27-36.
    何明錦 & 郭榮欽 (2012)。BIM 技術開發與推廣應用規劃研究。內政部建築研究所協同研究報告 (Research Report of Architecture and Building Research Institute (ABRI) of Taiwan) , 2012.
    邱垂德、劉德廣、余文德 & 劉沈榮 (2014)。 A Study on Current Deliverables of BIM Projects in Taiwan. 營建管理季刊 (Construction Management Journal), 99, 35-54。
    邱皓政 (2010)。量化研究與統計分析-SPSS資料分析範例。臺北市：五南。
    林柏君 (2017)。營造業之發展現況與趨勢 (A study of the current development and trend of construction business in Taiwan)。經濟前瞻 (Economic Outlook Bimonthly), 174, 43-48
    林清波、廖萬應 & 陳國棟 (2012)。臺灣營造業百年史 (Taiwan’s Construction Industry: A Century History)。Taipei, TW: Yuan-Liou Publishing Co., Ltd.
    胡偉良 (2002)。從營造產業的發展歷程談台灣土木工程未來的發展趨勢（上）。營造天下, 79, 12-14。
    胡偉良 (2002)。從營造產業的發展歷程談台灣土木工程未來的發展趨勢（下）。營造天下, 80, 10-15。
    陳建忠 & 劉青峰 (2016)。BIM研究與推廣應用規劃概況 (Outline of BIM Research and Application Planning)。臺灣建築學會會刊雜誌 (Architectural Institute of Taiwan Magazine), 81, 6-11.
    陳瑞鈴 & 楊智斌 (2016)。國內外推動BIM之策略與成效比較研究 (A comparative study of domestic and foreign strategies and effects of promoting BIM)。內政部建築研究所協同研究報告 (Research Report of Architecture and Building Research Institute (ABRI) of Taiwan) , 2016.
    許坤榮 (2016)。BIM Roadmap. 台灣建築學會會刊雜誌 (Architectural institute of Taiwan magazine), 81, 12-18。
    張建一 & 龔明鑫 (2011)。「重要原物料國內外市場情勢分析及研究」研究報告（2/2）。Taiwan Institute of Economic Research.
    許俊逸、徐景文、林傑 & 李文欽 (2014)。BIM帶來的變革與政府的前瞻。中國工程師學會工程雙月刊, 87 (05), 2-9.
    康思敏、莫仁維 & 曾雅愉 (2014)。BIM 於建物全生命週期各階段之導入與應用 (
    Introduction and application of BIM in all stages of the building`s entire life cycle)。土木水利 (The Magazine of the Chinese Institute of Civil and Hydraulic Engineering), 41(3), 35-41.
    黃永盛 (2001)。營造業的經營策略與管理重點。現代營建月刊 (Modern Construction of Civil Engineering and), 262, 39-47.
    黃正翰、陳正泰、王任遠、洪志岳, & 李佳龍 (2011)。營造產業發展概況。台灣地區房地產年鑑 (Taiwan Real Estate Almanac), 207, 320-341.
    黃隆茂 (2016)。BIM的施工管理文。台灣建築學會會刊雜誌 (Architectural Institute of Taiwan Magazine), 81, 40-47.
    楊文華、李宗政 & 詹雨欣 (2016)。台灣個案分享：BIM專案管理的協同合作策略思維。 Taipei, TW: 遠見天下文化出版股份有限公司.
    詹丞立、黃正翰 & 秋暉仁 (2019)。建築建材護照的建立-以花博荷蘭館為例 (Building materials passport establishment- using Holland Pavilion of Taichung World Flora Exposition as an example)。營建知訊期刊 (Construction News Record), 435, 17-26.
    楊智斌 & 李怡青 (2016). Survey and Analysis on BIM applications in Taiwan. 營建管理季刊 (Construction Management Journal), 105, 71-82.
    劉佩真 (2019)。我國不動產業發展情勢之探討。今日合庫 (Taiwan Cooperative Holdings Monthly), 530, 35-64
    劉福勳 (1999)。營建管理概論。Taipei, TW: 詹氏書局.
    謝宗興 (2018)。我國建築資訊模型（BIM）發展成果應用調查及推動方案研究。內政部建築研究所自行研究報告 (Research Report of Architecture and Building Research Institute (ABRI) of Taiwan), 2018.
    謝德宗、劉明德 & 吳孟道 (2009)。金融海嘯各國財政政策之比較研究 (A comparative study of financial policies of different countries after the financial crisis)。財政部國庫署 (National Treasury Administration, Ministry of Finance).
    魏嘉盈 & 張國儀 (2020)。台灣 BIM 聯盟 2019 產業調查報告。營建知訊期刊(Construction News Record), 445, 49-57.

    二、英文文獻
    Azhar, S. Khalfan, M., & Maqsood, T. (2012). Building information modeling (BIM): now and beyond. Australasian Journal of Construction Economics and Building, 12 (4) 15-28.
    Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Sage Publications, Inc.
    Ancona D. G., Caldwell D. F. (1987). Management issues facing new-product teams in high-technology companies. Advances in Industrial and Labor Relations, 4, 199-221.
    Al-Rahmi, W. M., Yahaya, N., Alamri, M. M., Alyoussef, I. Y., Al-Rahmi, A. M., & Kamin, Y. B. (2019). Integrating innovation diffusion theory with technology acceptance model: supporting students’ attitude towards using a massive open online courses (MOOCs) systems. Interactive Learning Environments, 1-7 (published online: 20 Jun 2019), DOI: 10.1080/10494820.2019.1629599.
    Alzahrani, K., Hall-Phillips, A. & Zeng, A. Z. (2019). Applying the theory of reasoned action to understanding consumers’ intention to adopt hybrid electric vehicles in Saudi Arabia. Transportation, 46 (1), 199–215.
    Ahuja, R., Jain, M., Sawhney, A. & Arif, M. (2016). Adoption of BIM by architectural firms in India: technology–organization–environment perspective. Architectural Engineering and Design Management, 12 (4), 311-330.
    Aleksandrova, E., Vinogradova, V., & Tokunova, G. (2019). Integration of digital technologies in the field of construction in the Russian federation. Engineering Management in Production and Services, 11 (3), 38-47.
    Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior. Englewood Cliffs, NJ: Prentice-Hall.
    Applegate, L. M, McFarlan, F. W., McKenney, J. L. (1999). Corporate information systems management: text and cases (5th Ed.). Singapore: McGraw-Hill.
    Aslizadeh, A. (2014). Impact of using information technology on creating a sustainable competitive advantage for companies (case study: Golestan Food Companies). Indian Journal of Fundamental and Applied Life Sciences, 4 (S4), 1595-1603.
    Ajzen, I. (1985). From intention to action: a theory of planned behavior. In: Kuhl J., & Bechman J. (eds.), Action-Control: From Cognition to Behavior, pp.11-39. Heidelberg: Springer.
    Ajzen, I. (2002). Residual effects of past on later behavior: habituation and reasoned action perspectives. Personality and Social Psychology Review, 6, 107–122.
    Awa, H. O., Ukoha, O., & Emecheta, B. C. (2016). Using T-O-E theoretical framework to study the adoption of ERP solution. Cogent Business & Management, 3 (1/1196571), 1-23.
    Aryasa, K. B., Wahyuni, S., Sudhartio, L., & Wyanto, S. H. (2017). The impact of absorptive capacity, organizational inertia on alliance ambidexterity and innovation for sustained performance. Academy of Strategic Management Journal, 16 (3), 1-19.
    Akgül, Y. (2019). Structural Equation Modeling Approaches to E-Service Adoption. Hershey, PA: IGI Global.
    Atkin, D., Chaudhry, A., Chaudry, S., Khandelwal, A. K., & Verhoogen, E. (2017). Organizational barriers to technology adoption: evidence from soccer-ball producers in Pakistan. The Quarterly Journal of Economics, 132 (3), 1101–1164.
    Appleyard, M. M., & Chesbrough, H. W. (2017). The dynamics of open strategy: from adoption to reversion. Long Range Planning, 50 (3), 310-321.
    Bensalah, M., Elouadi, A., & Mharzi, H. (2019). Railway Information Modeling RIM: The Track to Rail Modernization. London, England: ISTE Ltd; Hoboken, NJ: Wiley.
    Batarseh, S., & Kamardeen, I. (2017). The impact of individual beliefs and expectations on BIM adoption in the AEC Industry. EPiC Series in Education Science, 1, 466–475.
    Boontarig, W., Papasratorn, B., & Chutimaskul, W. (2018). The unified model for acceptance and use of health information on online social networks: evidence from Thailand. In: Information Resources Management Association, Technology Adoption and Social Issues: Concepts, Methodologies, Tools, and Applications, pp. 157-176. Hershey, PA: IGI Global.
    Brown, I., Russell, J. (2007). Radio frequency identification technology: An exploratory study on adoption in the South African retail sector. International Journal of Information Management, 27, 250-265.
    Baker, J. (2011). The technology-organization-environment framework. In: Dwivedi, Y. K., Wade, M. R., Schneberger, S. L. (eds.), Information Systems Theory, pp. 231-245. New York, NY: Springer.
    Bygballe, L. E., & Ingemansson, M. (2014). The logic of innovation in construction. Industrial Marketing Management, 43 (3), 512-524.
    Buabeng-Andoh, C. (2018). Predicting students’ intention to adopt mobile learning: A combination of theory of reasoned action and technology acceptance model. Journal of Research in Innovative Teaching & Learning, 11 (2), 178-190.
    Boumediene, R. & Kawalak, P. (2008). Predicting SMEs willingness to adopt ERP, CRM, SCM & e-procurement systems. In: Proceeding of 16th European Conference on Information Systems, ECIS, 2008, Galway, Ireland, pp. 961-973.
    Criscuolo, P., Nicolaou, N. & Salte, A. (2012). The elixir (or burden) of youth? Exploring differences in innovation between start-ups and established firms. Research Policy, 41 (2), 319–333.
    Charles, D. S., Butcher, J. N. (2013). Advances in Personality Assessment: Volume 7. New York, NY: Routledge.
    Cristóbal, J. R. S., Carral, L. Diaz, E., Fraguela, J. A., & Iglesias, G. (2018). Complexity and project management: a general overview. Complexity, 4891286 (Sp. 2018), 1-10.
    Catherine, C. (2018). ERP system adoption analysis using TOE framework in Permata Hijau Group (PHG) Medan. International Journal of Enterprise Information Systems (IJEIS), 14 (3), 91-105.
    Coiera, E (2011). Why system inertia makes health reform so difficult. BMJ, 343, 27-29.
    Chen, T. & Ni, Y. (2019). Research on BIM technology diffusion barrier - based on innovation diffusion theory. IOP Conference Series: Earth and Environmental Science, 128 (012031), 1-7.
    Choi, T., & Chandler, S. M. (2020). Knowledge vacuum: an organizational learning dynamic of how e-government innovations fail. Government Information Quarterly, 37 (1/101416), 1-11.
    Chiaroni, D., Chiesa, V. and Frattini, F. (2011). The open innovation journey: how firms dynamically implement the emerging innovation management paradigm. Technovation, 31 (1), 34-43.
    Chan, I., Liu, A., & Fellows, R. (2013). Role of leadership in fostering and innovation climate in construction firms. Journal of Management in Engineering, 30 (6), 1-7.
    Chau, P. Y. K., & Tam, K. Y. (1997). Factors affecting the adoption of open systems: an exploratory study. MIS Quarterly, 21 (1), 1-24.
    Clausen, H.T. (2013). Firm heterogeneity within industries: how important is “industry” to innovation?. Technology Analysis and Strategic Management, 25 (5), 527-542.
    Collins, P. D., Hage, J., & Hull, F. M. (1988). Organizational and technological predictors of change in automaticity. Academy of Management Journal, 31 (3), 512-543.
    Cheng, C. P., & Lu, Q. (2015). A review of the efforts and roles of the public sector for BIM adoption worldwide. Journal of Information Technology in Construction, 20 (27), 442-478.
    Chen, Y., Yin, Y., Browne, G. J., & Li, D. (2019). Adoption of building information modeling in Chinese construction industry: the technology-organization-environment framework. Engineering, Construction and Architectural Management, 26 (9), 1878-1898.
    DPR Construction (2015). 18 Years of BIM. https://www.dpr.com/media/blog/18-years-bim-1997-building-information-modeling-collaborative-virtual (accessed: Jun, 30, 2020)
    Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13 (3), 319-340.
    Durdyev, S., & Ismail, S. (2012). Role of the construction industry in economic development of Turkmenistan. Energy Education Science and Technology Part A: Energy Science and Research, 29 (2), 883-890.
    Dearing, J. (2015). Social marketing and the diffusion of innovations. In: Stewart, D. W (ed.), Handbook of Persuasion and Social Marketing, pp. 35–65. New York, NY: Praeger.
    Delone, W. H (1981). Firm size and characteristics of computer use. MIS Quarterly, 5 (4), 65-77.
    Eastman, C. M. (1999). Building Product Models: Computer Environments, Supporting Design and Construction. Boca Raton, FL: CRC press.
    Ettlie, J. E. (1983). Organizational policy and innovation among suppliers to the food processing sector. Academy of Management Journal, 26 (1), 27-44.
    Frambach, R. T., & Schilleweart, N. (2002). Organizational innovation adoption: A multi-level framework of determinants and opportunities for future research. Journal of Business Research, 55 (2), 163-176.
    Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18 (1), 39–50.
    Galliers, R. D. (2007). Organizational dynamics of technology-based innovation. In: McMaster, T., Wastell, D., Ferneley, E., & DeGross, J. (eds.), Organizational Dynamics of Technology-based Innovation: Diversifying the Research Agenda, pp. 15-18. New York, NY: Springer/IFIP.
    Grover, V. (1993). An empirically derived model for the adoption of customer-based inter-organizational systems. Decision Sciences, 24 (3), 603-640.
    Gatignon, H., Robertson, T. S. (1989). Technology diffusion: an empirical test of competitive effects. Journal of Marketing, 53 (1), 35-49.
    Godkin, L. & Allcorn, S. (2008). Overcoming organizational inertia: a tripartite model for achieving. Journal of Applied Business and Economics, 8 (1), 82- 94.
    Gambatese, J. A. & Hallowell, M. (2011). Enabling and measuring innovation in the construction industry. Construction Management and Economics, 29 (6), 553-567.
    Gledson, B. J., & Greenwood, D. (2017). The adoption of 4D BIM in the UK construction industry: an Innovation diffusion approach. Engineering Construction & Architectural Management, 24 (3), 950-967.
    Gokuc, Y. T., & Arditi, D. (2017). Adoption of BIM in architectural design firms. Architectural Science Review, 60 (6), 483-492.
    Graham, S. (2020). The Influence of External and Internal Stakeholder Pressures on the Implementation of Upstream Environmental Supply Chain Practices. Business & Society, 59 (2), 351-383.
    García-Moreno, M. B., García-Moreno, S., Nájera-Sánchez, J. J., Pablos-Heredero, C. (2016). An explanatory model of the organizational factors that explain the adoption of E-business. Journal of Industrial Engineering and Management, 9 (2), 547-581.
    Hair Jr., J. f., Anderson, R. E., Tatham, R. L. & Black, W. C. (2009). Multivariate data analysis (7th Ed.). New Jersey, NJ: Prentice Hall.
    Husain, A. H., Razali, M. N, & Eni, S. (2017). Stakeholders’ expectations on building information modelling (BIM) concept in Malaysia. Property Management, 36 (4), 400-422.
    Hannan, M. T. & Freeman, J. (1989). Organizations and Social Structure. In: Organizational Ecology, pp. 3-27. Cambridge: Harvard University Press.
    Hannan, M. T. (1998). Rethinking age dependence in organizational mortality: Logical formalizations. American Journal of Sociology, 104 (1), 126–164.
    Hong, Y., Hammad, W. A., & Akbarnezhad, A. (2019). Impact of organization size and project type on BIM adoption in the Chinese construction market. Construction Management and Economics, 37 (11), 675-691.
    Hong, W. & Zhu, K. (2006). Migrating to internet-based e-commerce: Factors affecting e-commerce adoption and migration at firm level. Information & Management, 43 (2), 204-221.
    Howard, R., Restrepo, L., & Chang, C. Y. (2016). Addressing individual perceptions: An application of the unified theory of acceptance and use of technology to building information modelling. International Journal of Project Management, 35 (2), 107-120.
    Hagger, M. S. (2019). The reasoned action approach and the theories of reasoned action and planned behavior. In: Dunn D. S. (Ed.), Oxford Bibliographies in Psychology. New York, NY: Oxford University Press.
    He, Q., Wang, G., Luo, L., Shi, Q., Xie, J., & Meng, X. (2017). Mapping the managerial areas of building information modeling (BIM) using scientometric analysis. International Journal of Project Management, 35 (4), 670–685.
    Hong, Y., Sepasgozar, S. M. E., Ahmadian F. F. A., Nezhad, A. A. (2016). Factors influencing BIM adoption in small and medium sized construction organizations. 2016 Proceedings of the 33rd ISARC, pp. 452-461, Auburn, AL, USA.
    Hwang, B. N., Huang, C. Y., & Wu, C. H. (2016). A TOE approach to establish a green supply chain adoption decision model in the semiconductor industry. Sustainability, 8 (168), 1-30.
    Hetemi, E., Ordieres-Meré, J. & Nuur, C. (2020). An institutional approach to digitalization in sustainability-oriented infrastructure projects: the limits of the building information model. Sustainability, 12 (3893), 1-20.
    Ibem, E. O., Aduwo, E. B., Tunji-Olayeni, P., Ayo-Vaughan, E. A., & Uwakonye, U. O. (2016). Factors influencing e-Procurement adoption in the Nigerian building industry. Construction Economics and Building, 16 (4), 54-67.
    Iacovou C. L., Benbasat I., & Dexter A. S. (1995). Electronic data interchange and small organisations: adoption and impact of technology. MIS Quarterly, 19 (4): 465-485.
    Juan, Y. K., Lai, W. Y., & Shih, S. G. (2017). Building information modeling acceptance and readiness assessment in Taiwanese architectural firms. Journal of Civil Engineering and Management, 23 (3), 356-367.
    Jennex, M. E. (2020). Knowledge Management, Innovation, and Entrepreneurship in a Changing World. Hershey, PA: IGI Global.
    Jayasena, H. S., Thurairajah, N., Perera, K. S., & Siriwardena, M. (2019). Promotion of diffusion of innovation: a study of BIM adoption in construction industries. In: Proceedings 35th Annual ARCOM Conference, 02-04 Sep 2019, Leeds, UK.
    Kraemer, H. C., & Blasey, C. M. (2004). Centring in regression analyses: A strategy to prevent errors in statistical inference. International Journal of Methods in Psychiatric Research, 13, 141-151.
    Kerlinger, F. N. & Lee, H. B. (1999). Foundations of Behavioral Research (4th Ed.). Albany, NY: Wadsworth.
    Kalantari, M. (2017). Consumers’ adoption of wearable technologies: literature review, synthesis, and future research agenda. International Journal of Technology Marketing, 12 (3), 274-307.

    Khechine, H., Raymond, B., & Augier, M. (2020). The adoption of a social learning system: Intrinsic value in the UTAUT model. British Journal of Educational Technology, 11 (32), 1-20.
    KhosrowPour, M. (2008). Innovative Technologies for Information Resources Management. Hershey, PA: IGI Global.
    Kimberly, J. R., & Evanisko, M. J. (1982). Organizational unnovation: the influence of individual, organizational, and contextual factors on hospital adoption of technological and administrative innovations. The Academy of Management Journal, 24 (4), 689-713.
    Katz, E., Levin, M. L., & Hamilton, H. (1963). Traditions of research on the diffusion of innovation. American Sociological Review, 28 (2), 237-252.
    Kuan, K. K. Y., & Chau P. Y. K.（2001）. A perception-based model for EDI adoption in small business using a technology-organization-environment framework. Information Management, 38 (8), 507-521.
    Kurz, M., & Fleischmann, A. (2011). BPM 2.0: business process management meets empowerment. In: Fleischmann, A., Schmidt, W., Singer, R., & Seese, D. (eds.), Subject-oriented Business Process Management, pp.54-83. Heidelberg: Springer.
    Kung, L. A., & Kung, H. J. (2014). External environment pressure on organizational innovation adoption: from literature to a conceptual model. International Journal of Management Theory and Practices, 15 (1), 99-115.
    Kwon, T.H., & Zmud, R.W. (1987). Unifying the fragmented models of information systems implementation,” In: Borland, R. J., & Hirschhiem, R. A. (eds.), Critical Issues in Information Systems Research, pp. 227-251. New York, NY: John Wiley.
    Kamal, E. M., Aini, Y. N. & Iranmanesh, M. (2016). Innovation creation, innovation adoption, and firm characteristics in the construction industry. Journal of Science and Technology Policy Management, 7 (1), 43-57.
    Kaiser, H.F. (1974). An index of factorial simplicity. Psychometrika 39, 31–36.
    Kelly, D. and Amburgey, T. L. (1991). Organizational inertia and momentum: a dynamic model of strategic change. The Academy of Management Journal, 34 (3), 591-612.
    Kim, J. O., & Mueller, C. W. (1981). Factor analysis: Statistical methods and practical issues. University of Iowa, a Sage University paper.
    Kline, R.B. (1998), Principles and Practice of Structural Equation Modeling, Guildford Press, New York, NY.

    Leonidou, L. C., Christodoulides, P., Kyrgidou, L. P., & Palihawadana, D. (2017). Internal drivers and performance consequences of small firm green business strategy: The moderating role of external forces. Journal of Business Ethics, 140, 585–606.
    Likert, R. (1932). A technique for measurement of attitudes. Archives of Psychology, 22 (140), 5-55.
    Lin, W. D. (2010). Process problems in BIM work for general contractor in Taiwan construction projects. In: Proc. of 2010 PM Conference, Taiwan, pp.131–136.
    Lee, G. & Xia, W. (2006). Organizational size and IT innovation adoption: a meta-analysis. Information & Management, 43 (8), 975-985.
    Lei, P., Tian, X., Huang, Q., & He, D. (2017). Firm size, government capacity, and regional environmental regulation: theoretical analysis and empirical evidence from China. Journal of Cleaner Production, 164 (15), 524-533.
    Lawrence, P., & Scanlan, J. (2007). Planning in the dark: why major engineering projects fail to achieve key goals. Technology Analysis and Strategic Management, 19 (4), 509-525.
    Lee, C. P. & Shim, J. P. (2007). An exploratory study of radio frequency identification (RFID) adoption in the healthcare industry. European Journal of Information Systems, 16 (6), 712-724.
    Lin, T. C., Huang, S. L., & Hsu, C. J. (2015). A dual-factor model of loyalty to IT product- the case of smartphones. International Journal of Information Management, 35 (2), 215-228.
    Lee, Y. H., Hsieh, Y. C., Hsu, C. N. (2011) Adding innovation diffusion theory to the technology aAcceptance model: supporting employees’ intentions to use e-learning systems. Educational Technology and Society, 14 (4), 124-137.
    Loosemore, M. (2014). Innovation, Strategy and Risk in Construction: Turning Serendipity into Capability. London, UK: Routledge.
    Leonardi, P. M. Huysman, M., & Steinfeld, C. (2013). Enterprise social media: definition, history, & prospects for the study of social technologies in organization. Journal of computer-mediated Communication, 19 (1), 1-19.
    Lindblom, A., & Lindblom, T. (2018). Applying the Extended Theory of Planned Behavior to Predict Collaborative. Translational Systems Sciences book series, 11, 167-182.
    Lim, C. C., & Goh, Y, N. (2019). Investigating the purchase intention toward healthy drinks among urban consumers in Malaysia. Journal of Foodservice Business Research, 22 (3), 286-302.

    Li, J. & Yang, H. (2016). A research on development of construction industrialization based on BIM technology under the background of industry 4.0. MATEC Web of Conferences, 100 (02046), 1-8.
    McGraw Hill Construction (2014). Smart Market Report. https://cdn.ymaws.com/www.nibs.org/resource/resmgr/BSA/20140108_moa_jones.pdf (accessed: Dec, 30, 2020)
    McKinsey & Company, Koller, T., Goedhart, M., & Wessels, D. (2020). Valuation, DCF Model Download: Measuring and Managing the Value of Companies (7th Ed.). Hoboken, New Jersey: Wiley.
    Mishra, S. S., & Saji, K. B. (2013). Moderating roles of organizational inertia and project duration in the NPD process: an empirical investigation. Journal of Product & Brand Management, 22 (1), 52-64.
    Migilinskas, D., Popov, V., Juocevicius, V., & Ustinovichius, L. (2013). The benefits, obstacles and problems of practical BIM implementation. Procedia Engineering, 57, 767-774.
    Macher, J. T., & Mayo, J. W. (2011). The influence of firms on government. The B. E. Journal of Economic Analysis & Policy, 11 (1), 1-25.
    McAfee, A. (2009). Enterprise 2.0: New collaborative tools for your organization’s toughest challenges. Boston, MA: Harvard Business press.
    Merton, P.K. (1973). The Sociology of Science. Chicago, IL: University of Chicago Press.
    Mishra, A. N., Konana P. & Barua, A. (2007). Antecedents and consequences of internet use in procurement: An empirical investigation of us manufacturing firms. Information Systems Research, 18 (1), 103-120.
    Manseau, A., & Seaden, G. (2001). Innovation in Construction: An International Review of Public Policies. London, UK: Routledge.
    Messner, J., Anumba, C., Dubler, C., Goodman, S., Kasprzak, C., Kreider, R., Leicht, R., Saluja, C., & Zikic, N. (2011). BIM Project Execution Planning Guide. PA: Penn State University.
    Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2 (3), 192−222.
    Moohammad, A. Y., Aini, Y. N., & Kamal, E., M. (2014). Influences of firm size, age and sector on innovation behaviour of construction. Business Management Dynamics, 4 (4), 1-9.
    Nunnally, J. C. (1978). Psychometric theory (2nd Ed.), New York, NY: McGraw-Hill
    Nijssen, E. J., Hillebrand, B., Vermeulen, P. A. M., & Kemp, R. G. M. (2006). Exploring product and service innovation similarities and differences. International Journal of Research in Marketing, 23 (3), 241-251.
    Nguyen, N., Nguyen, H. V., Nguyen, P. T., Tran, V. T., Nguyen, H. N., Nguyen, T. M. N., Cao, T. K., & Nguyen, T. H. (2020). Some key factors affecting consumers’ intentions to purchase functional foods: a case study of functional yogurts in Vietnam. Foods, 9 (24), 1-15.
    Özdemir-Güngör, D., Göken, M. Basoglu, N., Shaygan, A. Dabić, M., & Daim, T. U. (2020). An acceptance model for the adoption of smart glasses technology by healthcare professionals. In: Larimo, J. A., Marinov, M. A., Marinova, S. T., & Leposky, T. (Eds.), International Business and Emerging Economy Firms Volume II: European and African Perspectives, pp.163-194. Houndmills: Palgrave Macmillan.
    Oyadomari, J. C. T., Afonso, P. S. L. P., Lima, R. G. D., Mendonça Neto, O. R., & Righetti, M. C. G. (2018). Flexible budgeting influence on organizational inertia and flexibility. International Journal of Productivity and Performance Management, 67 (9), 1640-1656.
    Predişcan M., & Roiban, R. N. (2014). The main forces driving change in the Romanian SME`s. Procedia - Social and Behavioral Sciences, 124, pp. 236-245.
    Papadonikolaki, E., Vrijhoef, R., & Wamelink, H. (2015). Supply chain integration with BIM: a graph based model. Structural Survey, 33 (3), 257-277.
    Pellicer, E., Yepes, V., Correa, C. L., & Alarcón, L. F. (2014). Model for systematic innovation in construction companies. Journal of Construction Engineering and Management, 140 (4), 1-8.
    Prause, M. (2019). Challenges of industry 4.0 technology adoption for SMEs: the case of Japan. Sustainability, 11 (5807), 1-13.
    Poirier, E. A., Staub-French, S. and Forgues, D. (2015). Measuring the impact of BIM on labor productivity in a small specialty contracting enterprise through action-research. Automation in Construction, 58, 74-84.
    Polites, G. L., & Karahanana E. (2013). The embeddedness of information systems habits in organizational and individual level routines: development and disruption. MIS Quarterly, 37 (1), 221-246.
    Polites, G. L., & Karahanna, E. (2012). Shackled to the status quo: The inhibiting effects of incumbent system habit, switching costs, and inertia on new system acceptance. MIS Quarterly, 36 (1), 21–42.
    Premkumar, G., & Roberts, M. (1999). Adoption of new information technologies in rural small business. Omega, 27 (4), 467-484.
    Qin, X., Ren, R., Wang, Y., Guo, Y., Fang, J., Wu, Z. D., Liu, P. L., & Han, T. R. (2020). Using a TAM-TOE model to explore factors of Building Information Modelling (BIM) adoption in the construction industry. Journal of Civil Engineering and Management, 26 (3), 259–277.
    Qian, X., Ren, R., Wang, Y, Guo, Y., Fang, J., Wu., Z. D., Liu, P.L., & Han, T. R. (2020). Fighting against the common enemy of COVID-19: a practice of building a community with a shared future for mankind. Infect Dis Poverty, 9 (34), 1-6.
    Rogers, E.M. (1995). Diffusion of Innovations (4th ed.). New York, NY: The Free Press.
    Rivera, F. M., Vielma, J. C., Herrera, R. F., & Carvallo, J. (2019). Methodology for building information modeling (BIM) implementation in structural engineering companies (SECs). Advanced BIM Applications in the Construction Industry, 2019 (8452461), 1-16.
    Ragu-Nathan, T. S., Tarafdar, M., Nathan, R., & Tu, Q. (2008). The consequences of technostress for end users in organizations: conceptual development and empirical validation. Information Systems Research, 19 (4), 417-433.
    Rostami, A., Sommerville, J., Wong, L. I., & Lee, C. (2015). Engineering, construction and architectural management article information. Engineering Construction Architecture Management, 22 (1), 91-107.
    Rodgers, C., Hosseini, M. R., Chileshe, N., & Raufdeen, R. (2015). Building information modelling (BIM) within the Australian construction related small and medium sized enterprises: awareness, practices and drivers. In: 31st Annual Association of Researchers in Construction Management (ARCOM), Lincoln, UK, 691-700.
    Rinta-Kahila, T., & Penttinen, E. (2016). Unfolding the types of organizational inertia in information systems adoption. Proceedings of the 49th Hawaii International Conference on System Sciences (HICSS), pp. 3908-3917, Koloa, Hawaii.
    Saka, A. B., Chan, W. M., & Siu, M. F. (2020). Drivers of sustainable adoption of building information modelling (BIM) in the Nigerian construction small and medium-sized enterprises (SMEs). Sustainability, 12 (3710), 1-23.
    Shaikh, M. Z., Shah, D., Kawale, V., & Anand, K. (2017). Developing smart cities in a BIM environment. IOSR Journal of Mechanical and Civil Engineering, 14 (5), 11-16.
    Singh, A. (2017). Creative Systems in Structural and Construction Engineering. London: Routledge.

    Singh, J. V., & Lumsden, C. J. (1990).Theory and research in organizational ecology. Annual Review Sociology, 16, 161-195.
    Starbuck, W. H., Greve, A., & Hedberg, B. (1978). Responding to crises. Journal of Business Administration, 9 (2), 111-137.
    Sommer, L. (2011). The theory of planned behaviour and the impact of past behaviour. International Business & Economics Research Journal, 10 (1), 91-110.
    Sahin, I. (2006). Detailed review of Rogers` diffusion of innovations theory and educational technology-related studies based on Rogers` theory. Turkish Online Journal of Educational Technology, 5 (2), 14-23.
    Shan, Y., Goodrum, P., Haas, C., & Caldas, C. (2012). Assessing productivity improvement of quick connection systems in the steel construction industry using building information modeling (BIM). In: Construction Research Congress 2012: Construction Challenges in a Flat World, pp. 1135-1144, West Lafayette, Indiana.
    Sharma, A. & Citurs, A. (2005). Radio frequency identification (RFID) adoption drivers - a radical innovation adoption perspective. In: Proceedings of Americas Conference on Information Systems (AMCIS), pp. 1213-1218, Omaha, NE.
    Succar, B., & Kassem, M. (2015). Macro-BIM adoption: conceptual structures. Automation in Construction, 57, 64-79.
    Saxon, R. G., (2013). Growth Through BIM. London: Construction Industry Council.
    Sacks, R., & Barak, R. (2008). Impact of three-dimensional parametric modeling of buildings on productivity in structural engineering practice. Automation in Construction, 17, (4), 439-449.
    Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal Computing: Toward a Conceptual Model of Utilization. MIS Quarterly, 15 (1), 124-143.
    Terzungwe, T.D. (2013). Technological and innovation for sustainable development in a developing economy. Lead paper presented at National Conference on Technological innovation for sustainable development at SES, Federal Polytechnic, 9th October, Nasarawa, Nigeria.
    Tupenaite, L., Kanapeckiene, L. & Naimaviciene, J. (2017). Determinants of housing market fluctuations: case study of Lithuania. Procedia Engineering, 172 (2017), 1169-1175.
    Tsai, M. C., Lee, W. and Wu, H. C. (2010). Determinants of RFID adoption intention: evidence from Taiwanese retail chains. Information & Management, 47 (5), 255-261.
    Tornatzky, L. G., & Fleischer, M. (1990). The Process of Technological Innovation. Lexington, MA: Lexington books.
    Tornatzky, L. G., & Klein, K. J. (1982). Innovation characteristics and innovation adoption-implementation: a meta-analysis of findings. IEEE Transactions on Engineering Management, 29 (1), 28-45.
    Tang, Y., Wang, G., Li, H., Cao, D., & Li, X. (2019). Comparing project-based collaborative networks for BIM implementation in public and private sectors: a longitudinal study in Hong Kong. Advances in Civil Engineering, 2019 (6213694), 1-14.
    Tetik, M., Peltokorpi, A., Seppänen, O., & Holmström, J. (2019). Direct digital construction: Technology-based operations management practice for continuous improvement of construction industry performance. Automation in Construction, 107 (102910), 1-13.
    Venkatesh, V. (2006). Where to go from here? Thoughts on future directions for research on individual-level technology adoption with a focus on decision making. Decision Sciences, 37 (4), 497-518.
    Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27 (3), 425-478.
    Vagnani, G., Gatti, C. & Proietti, L. (2019). A conceptual framework of the adoption of innovations in organizations: a meta-analytical review of the literature. Journal of Management and Governance, 23 (4), 1023–1062.
    Valence, G. (2010). Defining an industry: what is the size and scope of the Australian building and construction industry. Australasian Journal of Construction Economics and Building, 10 (1-2), 119-131.
    Vilutiene, T., Kalibatiene, D., Hosseini, M. R., Pellicer, E., & Zavadskas, E. K. (2019). Building information modeling (BIM) for structural engineering: a bibliometric analysis of the literature. Advances in Civil Engineering, 2019 (5290690), 1-19.
    Wan, D., Ong, C. H., & Lee, F. (2005). Determinants of firm innovation in Singapore. Technovation, 25 (3), 261–268.
    Wang, W., Zhang, S., Su, Y., & Deng, X. (2019). An empirical analysis of the factors affecting the adoption and diffusion of GBTS in the construction market. Sustainability, 11 (6/1795), 1-24.
    Wang, X., & Chong, H. Y. (2015). Setting new trends of integrated building information modelling (BIM) for construction industry. Construction Innovation, 15 (1), 2-6.
    Wang W., Liu, Y. Liang, Y. & He, K. (2017). The influential factors of organization adoption of e-government cloud. In: International Conference on Financial Management, Education and Social Science (FMESS 2017), pp.283-288, Hohhot, China.
    Wang, Y. S., Li, H. T., Li C. R. & Zhang D. Z. (2016). Factors affecting hotel’s adoption of mobile reservation systems: a technology-organization-environment framework. Tourism Management, 53 (C), 163-172.
    Wang Y. Y, Wang, Y. S., & Jian, S. E. (2020). Investigating the determinants of students’ intention to use business simulation games. Journal of Educational Computing Research, 58 (2), 433–458.
    Wang, J. (2014). Encyclopedia of Business Analytics and Optimization. Hershey, PA: IGI Global.
    Warren R. L. (1978). The Community in America (3rd ed.). Chicago: Rand McNally.
    Yadav, R., & Pathak, G. S. (2017). Determinants of consumers` green purchase behavior in a developing nation: applying and extending the theory of planned behavior. Ecological Economics, 134 (c), 114-122.
    Yang, L. R. (2007). Exploring the links between technology usage and project outcomes. Construction Management and Economics, 25 (10), 1041-51.
    Yuan, H., Yang, Y., Xue, X. (2019). Promoting owners’ BIM adoption behaviors to achieve sustainable project management. Sustainability, 11 (3905), 1-18.
    Yang, J. B., & Chou, H. Y. (2018). Mixed approach to government BIM implementation policy: An empirical study of Taiwan. Journal of Building Engineering, 20, 337-343.
    Yusof, M. S. M, & Romle, A. R. (2020). Exploring the mediating effect of organizational inertia on the relationship of turnaround and organizational performance framework: a proposed framework: organization size key paper. Test Engineering & Management, 82, 6782 -6789.
    Yusof, N., & Mohd, S. M. W. (2011). Factors affecting housing developers` readiness to adopt innovative systems. Housing Studies, 26 (3), 369-384.
    Zhou, L., Perera, S., Udeaja, C., & Paul, C. (2012). Readiness of BIM: a case study of a quantity surveying organisation. In: 1st UK Academic Conference on BIM, pp.118-126, Northumbria University, Newcastle, UK.
    Zawislak, P. A., Fracasso, E. M., Tello-Gamarra, J. (2018). Technological intensity and innovation capability in industrial firms. Innovation & Management Review, 15 (2), 189-207.
    Zeng, N., Liu, Y., Mao, C., & König, M. (2018). Investigating the relationship between construction supply chain integration and sustainable use of material: evidence from China. Sustainability, 10 (3581), 1-17.
    Zhu, K., Kraemer, K. L. & Xu, S. (2003). E-business adoption by European firms: a cross-country assessment of the facilitators and inhibitors. European Journal of Information Systems 12 (4), 251-268.
    Description: 博士
    國立政治大學
    資訊管理學系
    106356509
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0106356509
    Data Type: thesis
    DOI: 10.6814/NCCU202100237
    Appears in Collections:[Department of MIS] Theses

    Files in This Item:

    File Description SizeFormat
    650901.pdf6460KbAdobe 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