博碩士論文 105481606 詳細資訊




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姓名 陳敏(MIN CHEN)  查詢紙本館藏   畢業系所 企業管理學系
論文名稱 基於服務創新理論探討人工智慧圖書館服務品質與用户行為意圖之相關性研究
(Analyzing the Relationship between Service Quality and Behavioral Intention in Intelligent Library from Service Innovation Theories)
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摘要(中) 發展至今,世界各國都公認公共圖書館是學校以外,最重要的教育機構,成為國家競爭力或城市進步的指標之一,甚至是代表當地文化水準的象徵,越來越受到重視。二十餘年後的今天,新世紀開始邁入數位新時代,原本有不少人預測因為資訊取得的方式不斷加速與改變,一座座設計新穎創新、人工智慧化的新公共圖書館相繼落成啟用,成為現代人們最喜愛的公共設施之一。人工智慧圖書館是一個不受空間限制的、但同時能夠被切實感知的一種概念。有人曾經說過人工智慧圖書館將通過物聯網實現人工智慧化的服務和管理,其實還包括雲計算、人工智慧化的一些設備,通過這些來改造我們傳統意義上的圖書館。由於人工智慧圖書館提供的是智慧服務,而智慧服務的最本質特徵就是完成當時的增值,讓知識服務的內涵得以昇華,這對於人類的可持續發展有著極其重要的意義。
隨著資訊技術的飛速發展,物聯網技術已經成為人們「智慧生活」的重要載體。智慧圖書館的出現將不再受空間的限制,潛移默化地影響我們的生活和工作。本文對這種新的服務模式進行了研究,從用戶對智慧圖書館的接受和使用行為出發,分析了智慧圖書館服務品質與使用者行為之間的關係。探討了如何優化服務品質,讓使用者接受這種技術和服務模式,以實現原來的想法。
本研究樣本物件為浙江省人工智慧圖書館的使用者為問卷髮放物件,本研究共發出問卷800份,本研究在扣除無效與填答不完整之問卷後,有效問卷為676份,有效回收率為84.5%。


1.服務創新對服務品質有顯著正相關。
2.服務品質對行為意圖有顯著正相關。
3.服務創新對行為意圖有顯著正相關。
因此本研究基於服務創新理論探討人工智慧圖書館服務品質與用戶行為意圖相關性研究,希望有助圖書館日後創新發展,提升營運動能。
本文從創新服務的角度,分析了智慧圖書館創新服務模式對提高服務品質的作用以及對用戶行為的一系列影響。研究證實,智慧圖書館是一種較新的服務創新。用戶的好奇心和探索會讓他們接觸到一些相關的資訊。合理創新的服務是使用者接受行為的重要因素。
摘要(英) Nowadays, along with the development of society, it is recognized all around the world that public libraries have become the most important educational institutions apart from schools as well as one of the vital indicators of national strength or urban progress. Even more, public libraries represent the local cultural level, thus more and more emphasis is being placed on public libraries. At present, about twenty years after the beginning of the new century, mankind has entered a new digital era. In the past, many people predicted that with the continuous acceleration and change of information acquisition methods, more and more new intelligent public libraries with novel design have been established and opened, becoming one of the most popular public facilities for modern people. Artificial intelligence libraries are not limited by space but can be actually perceived. It is said by some people that artificial intelligence libraries will realize intelligent services and management through the Internet of Things, but actually, they also include cloud computing and some intelligent facilities through which we can transform the traditional libraries, because artificial intelligence libraries provide intelligent services while the essence of intelligent services is to add value and sublimate the connotation of knowledge services, which is of great significance for the sustainable development of mankind.
With the rapid development of information technology, the Internet of Things technology has become an important carrier of people’s “smart life”, and intelligent public libraries, which are no longer subject to spatial limitation, will subtly affect our lives and work. This paper studies this new service model, analyzes the relationship between intelligent libraries’ service quality from users’ acceptance and use of intelligent libraries, and discusses how to optimize the service quality so as to make users accept this technology and service model, which is the original intention of intelligent public libraries.
In this study, a total of 800 questionnaires were distributed to users of Zhejiang Artificial Intelligence Library. After invalid and incomplete questionnaire were deducted, there were a total of 676 valid questionnaire, thus the effective recovery rate was 84.5%.
1. There is a significant positive correlation between service innovation and service quality.
2. There is a significant positive correlation between service quality and behavioral intention.
3. There is a significant positive correlation between service innovation and behavioral intention.
Therefore, this study explores the correlation between artificial intelligence libraries’ service quality and customers’ behavioral intention from the perspective of service innovation in a bid to facilitate future innovation and development of libraries and improve the operation of libraries.
This paper analyzes the influence of intelligent libraries’ innovative service model on improving the service quality and users’ behaviors from the perspective of innovative services. Researches confirm that intelligent libraries are a kind of relatively new service innovation. Driven by curiosity, users will explore some relevant information, and reasonable and innovative services are an important factor in user acceptance.
關鍵字(中) ★ 服務創新
★ 人工智慧圖書館
★ 服務品質
★ 用戶行為
★ 行為意圖
關鍵字(英) ★ Service Innovation
★ Artificial Intelligence Library
★ Service Quality
★ User’s Behaviors
★ Behavioral Intention
論文目次 摘要 v
ABSTRACT vii
目 錄 ix
表目錄 xi
圖目錄 xii
一、緒論 - 1 -
1-1 研究背景 - 1 -
1-1-1 智慧圖書館的概念 - 2 -
1-1-2 智慧圖書館的架構 - 2 -
1-1-3 智慧圖書館與傳統圖書館的區別 - 5 -
1-1-4 智慧圖書館的應用 - 6 -
1-2 研究現狀分析 - 8 -
1-3 研究動機與目的 - 14 -
1-4 研究流程及架構 - 16 -
二、文獻探討 - 19 -
2-1 人工智慧圖書館 - 19 -
2-1-1 智慧圖書館的不同定義 - 20 -
2-1-2 智慧圖書館的概念連接 - 23 -
2-2 人工智慧圖書館創新意涵 - 27 -
2-3 服務創新 - 29 -
2-4 服務品質 - 31 -
2-5 行為意圖 - 33 -
2-6 操作型定義 - 34 -
三、研究方法 - 36 -
3-1 研究架構 - 36 -
3-2 浙江智慧圖書館創新服務模式概況 - 37 -
3-2-1 資源組織統一化與資源分享 - 37 -
3-2-2 個性化推薦智慧程度完善 - 38 -
3-2-3 互動服務呈現個性化 - 39 -
3-2-4 圖書館服務趨於智慧化與自助化 - 40 -
3-2-5 移動服務趨於多元化 - 41 -
3-3 研究假說 - 43 -
3-4 問卷設計 - 46 -
3-5 資料分析方法 - 51 -
3-5-1 敘述性統計 - 51 -
3-5-2 因素分析 - 52 -
3-5-3 信度分析 - 53 -
3-5-4 效度分析 - 55 -
3-5-5 結構方程模式 - 56 -
四、實證結果與分析 - 59 -
4-1 數據收集 - 59 -
4-2 敘述性統計分析 - 60 -
4-3 信度分析 - 63 -
4-4 建構效度分析 - 64 -
4-5 模型適配度分析 - 67 -
4-5-1 絕對適配度 - 67 -
4-5-2 增值適配度 - 68 -
4-5-3 簡約適配度 - 68 -
4-6 研究假說驗證 - 69 -
4-7 因素分析 - 74 -
4-8 皮爾森相關分析 - 75 -
4-9 研究模型分析 - 76 -
五、結論及未來研究方向 - 80 -
5-1 研究結論 - 80 -
5-2 管理意涵與研究貢獻 - 83 -
5-3 研究限制與未來研究方向 - 85 -
5-3-1 研究限制 - 85 -
5-3-2 未來研究方向 - 86 -
5-4 相關實用性建議 - 87 -
參考文獻 - 89 -
附錄 研究問卷 - 105 -
參考文獻 參考文獻
中文文獻

王世偉,(2011)。未來圖書館的新模式-智慧圖書館。圖書館建設,12:1-5。
王世偉,(2012)。論智慧圖書館的三大特點。中國圖書館學報, 6:22-28。
王世偉,(2017 A)。略論智慧圖書館的五大關係。圖書館雜誌,36(04):6-12。
王世偉,(2017 B)。智慧社會是智慧圖書館發展的新境界。圖書館雜誌,36(12):9-13。
王世偉,(2018)。關於智慧圖書館未來發展若干問題的思考。數字圖書館論壇,7:2-10。
董曉霞,龔向陽,張若林,等,(2011)。智慧圖書館的定義、設計以及實現。資料分析與知識發現,27(2):76-80。
李顯志,邵波,(2013)。國內智慧圖書館理論研究現狀分析與對策。圖書館雜誌,32(8):12-17。
初景利,段美珍,(2018)。智慧圖書館與智慧服務。圖書館建設,4:85-90。

英文文獻

Ahmad, K., JianMing, Z. and Rafi, M. (2019). “An analysis of academic librarians competencies and skills for implementation of Big Data analytics in libraries: A correlational study”. Data Technologies and Applications, Vol. 53 Issue 2, pp. 201-216.
Aittola, C. and Kaefer, G. (2008). “From smart homes to smart cities: opportunities and challenges from an industrial perspective”. in International Conference on Next Generation Wired/Wireless Networking, Springer, Berlin, pp. 260.
Aittola, M., Ryhänen, T. and Ojala, T. (2003). “Smart library-location-aware mobile library service”. International Symposium on Human Computer Interaction with Mobile Smart Devices and Services, Vol. 2795 Issue 5, pp. 411-416.
Armstrong, J.S. and Overton, T.S. (1977). “Estimating Nonresponse Bias in Mail Surveys”. Journal of Marketing Research, 14, pp. 396-402.
Avlonitis, G.J., Papastathopoulou, P.G. & Gounaris, S.P. 2001. “An empirically‐based typology of product innovativeness for new financial services: success and failure scenarios”. Journal of Product Innovation Management, Vol.18 Issue 5, pp. 324-342.
Bae, K.J., Jeong, Y.S., Shim, W.S. and Kwak, S.J. (2007), “The ubiquitous library for the blind and physically handicapped: a case study of the LG Sangnam library, Korea”. IFLA Journal, Vol. 33 Issue 3, pp. 210-219.
Bagozzi, R. P., & Yi, Y. (1988). “On the evaluation of structural equation models”. Journal of the academy of marketing science, Vol. 16 Issue 1, pp. 74-94.
Bailey, C.W. (1991). “Intelligent library systems: artificial intelligence technology and library automation systems”, in Hewitt, J.A. (Ed.), Advances in Library Automation and Networking, Vol. 4, JAI Press, Greenwich, CT, pp. 36-37.
Baraibar-Diez, E., & Sotorrío, L. L. (2018). “The mediating effect of transparency in the relationship between corporate social responsibility and corporate reputation”. Revista Brasileira de Gestão de Negócios, Vol. 20 Issue 1, pp. 5-21.
Baryshev, R.A., Babina, O.I., Zakharov, P.A., Kazantseva, V.P. and Pikov, N.O. (2015), “Electronic library: genesis, trends: from electronic library to smart library”. Journal of Siberian Federal. University. Humanities and Social Sciences, Vol. 8 Issue 6, pp. 1043-1051.
Baryshev, R.A., Verkhovets, S.V. and Babina, O.I. (2018). “The smart library project: development of information and library services for educational and scientific activity”. Electronic Library, Vol. 36 Issue 3, pp. 535-549.
Bell, S.J. and Shank, J. (2004). “The blended librarian: a blueprint for redefining the teaching and learning role of academic librarians”. College and Research Libraries News, Vol. 65 No. 7, pp. 372-375.
Bentler, P. M. (1995). “EQS structural equations program manual”. Encino, CA: Multivariate software.
Bleize, D. N. M., & Antheunis, M. L. (2017). “Factors influencing purchase intent in virtual worlds: a review of the literature”. Journal of Marketing Communications, pp. 1-18.
Bogorin, A., Parditka, G. and Rempis, P. (2013). “Das projekt blended library an der universitätsbibliothek tübingen– ein statusbericht”. Bibliotheksdienst, Vol. 47 No. 12, pp. 964-975.
Boomsma, A. (1987). “The robustness of maximum likelihood estimation in structural equation models”. Structural modeling by example: Applications in educational, sociological, and behavioral research.
Cao, G., Liang, M. and Li, X. (2018). “How to make the library smart? The conceptualization of the smart library”. Electronic Library, Vol. 36 No. 5, pp. 811-825.
Cakir, R., & Solak, E. (2015). “Attitude of Turkish EFL Learners towards e-Learning through Tam Model”. Procedia - Social and Behavioral Sciences, 176, pp. 596-601.
Carbonell, P., Rodríguez-Escudero, A.I., Pujari, D., (2009). “Customer involvement in new service development: an examination of antecedents and outcomes”. Journal of Product Innovation Management. Vol. 26 Issue 5, pp. 536–550.
Chandrasekar, K., & Sivathaasan, N. (2016). “Children’s section of the Jaffna Public Library: User satisfaction survey”. Library Review, 65(1/2), pp. 108-119.
Chang C.C., Chen R.S. (2006). “Using data mining technology to solve classification problems – A case study of campus digital library”. Electronic Library, Vol. 24 Issue 3, pp. 307-321.
Chapman, C.S. (2005). “Not because they are new: Developing the contribution of enterprise resource planning systems to management control research”. Accounting, Organizations and Society, Vol. 30 Issue 7, pp. 685-689.
Chen, C., Hsiao, K. and Wu, S. (2018). “Purchase intention in social commerce”. Library Hi Tech, Vol. 36 No. 4, pp. 583-604.
Cheng, T. D., & Chen, C. V. (2017). “Does service innovation matter? An empirical study on market orientation and supply chain performance”. South African Journal of Business Management, Vol. 48 Issue 1, pp. 11-22.
Chen, K. H., Wang, C. H., Huang, S. Z., & Shen, G. C. (2016). “Service innovation and new product performance: The influence of market-linking capabilities and market turbulence”. International Journal of production Economic, 172, pp. 54–64.
Chen, L. and Zhang, H.W. (2016). “Smart library from the angle of its service”. Chinese Journal of Medical Library and Information Science, Vol. 25 No. 8, pp. 58-61.
Chiang, H. and Chen, C. (2014). “Exploring switch intention of users’ reading behavior”. Electronic Library, Vol. 32 No. 4, pp. 434-457.
Cho, Y. J., Wang, Y., and Hsu, L. L. I. (2016). “Constructing Taiwan′s low-carbon tourism development suitability evaluation indicators”. Asia Pacific Journal of Tourism Research, Vol. 21, No.6, pp. 658-677.
Chung, N., Han, H., & Joun, Y. (2015). “Tourists’ Intention to Visit a Destination: The Role of Augmented Reality (AR) Application for a Heritage Site”. Computers in Human Behavior, 50, pp. 588-599.
Coleman, C. (2017). “Artificial intelligence and the library of the future, revisited”. Stanford Libraries, available at: http://library.stanford.edu/blogs/digital-library-blog/2017/11/artificial-intelligenceand-library-future-revisited.
Cox, A., Pinfield, S. and Rutter, S. (2019). “The intelligent library”, Library Hi Tech, Vol. 37 No. 3, pp. 418-435.
Crawford, W. and Gorman, M. (1995). “Future Libraries: Dreams, Madness, and Reality”. American Library Association, Chicago, IL.
Daft, R.L. (1982). “Bureaucratic versus nonbureaucratic structure and the process of innovation and change”. Research in the Sociology of Organizations, 1, pp. 129-166.
Damanpour, F. (1991). “Organizational innovation: A meta-analysis of effects of determinants and moderators”, Academy of Management Journal, Vol. 34 Issue 3, pp. 555-590.
Day, G.S., (1990). “Market Driven Strategy: Processor for Creating Value”. the Free Press, New York.
Day, G.S., (1994). “The capabilities of market-driven organizations”. J. Mark. Vol. 58 Issue 4, pp. 37–52.
Den Hertog, P., Wietze, Vd.A., De Jong, M.W., (2010). “Capabilities for managing service innovation: Towards a conceptual framework”. Journal Service Management. Vol. 21 Issue 4, pp. 490–512.
Dent, V.F. (2007). “Intelligent agent concepts in the modern library”. Library Hi Tech, Vol. 25 No. 1, pp. 108-125.
Diekema, A.R. (2012). “Multilinguality in the digital library”. Electronic Library, Vol. 30 No. 2, pp. 165-181.
Disatnik, D., & Sivan, L. (2016). “The multicollinearity illusion in moderated regression analysis”. Marketing Letters, 27, pp. 403-408.
Dong, X. (2011). “The design and implementation of smart library”. New Technology of Library and Information Service, Vol. 27 No. 2, pp. 76-78.
Feigenbaum, E. (2001). “The age of intelligent machines/knowledge processing–from file servers to knowledge servers”. Kurzweil Accelerated Intelligence, available at: www.kurzweilai.net/theage-of-intelligent-machines-knowledge-processing-from-file-servers-to-knowledge-servers.
Fichter, D., & Wisniewski, J. (2017). “Tackling the omnichannel experience with customer journey mapping”. Computers in Libraries, Vol. 37 Issue 8, pp. 4-7.
Fornell, C., & Larcker, D. F. (1981). “Structural equation models with unobservable variables and measurement error: Algebra and statistics”. Journal of marketing research, Vol. 18 Issue 3, pp. 382-388.
Frias-Martinez E., Magoulas G., Chen S. Automated user modeling for personalized digital libraries. International Journal of Information Management, 2006, 26 (3):0-248.
Fruhling, A.L. & Siau, K. (2007). “Assessing organizational innovation capability and its effect on e-commerce initiatives”. The Journal of Computer Information Systems, Vol. 47 Issue 4, pp. 91-104.
George, D., & Mallery, M. (2003). “Using SPSS for Windows step by step: a simple guide and reference”. Boston, MA: Aliyn & Bacon.
Gordon-Murnane, L. (2012), “Big Data: a big opportunity for librarians”. ONLINE, Vol. 36 Issue 5, pp. 30-34.
Green, J.R. & Scotchmer, S. (1995). “On the division of profit in sequential innovation”. The RAND Journal of Economics, Vol. 26 Issue 1, pp. 20-33.
Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., Childe, S. J., Hazen, B., and Akter, S. (2017). “Big data and predictive analytics for supply chain and organizational performance”. Journal of Business Research, 70, pp. 308–317.
Guo, J., & Bouwman, H. (2016). “An analytical framework for an m-payment ecosystem: A merchant’ perspective”. Telecommunications Policy, 40(2-3), pp. 147-167.
Gul, S. and Bano, S. (2019). “Smart libraries: an emerging and innovative technological habitat of 21st century”. Electronic Library, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/EL-02-2019-0052.
Guthrie, J. P. (2001). “High-involve work practices, turnover, and productivity: Evidence from New Zealand”. Academy of Management Journal, Vol. 44 Issue 1, pp. 180-190.
Han, J., Kim, N., Srivastava, R., (1998). “Market orientation and organizational performance: is innovation a missing link?” J. Mark. Vol. 62 Issue 4, pp. 30–45.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (1998). “Multivariate data analysis”. Prentice hall Upper Saddle River, NJ, Vol. 5 , No. 3, pp. 207-219.
Harrison, H., Birks, M., Franklin, R., & Mills, J. (2017). “Case study research: Foundations and methodological orientations”. Forum Qualitative Sozialforschung / Forum: Qualitative Social Research, Vol. 18 Issue 1, Art. 19-January.
Hartmann, K. S., Liburt, N. R., & Malinowski, K. (2017). “Rutgers equine science center industry needs assessment survey 2016”. Journal of Equine Veterinary Science, Vol. 48, pp. 1-8.
Hergan, I., & Umek, M. (2017). “Comparison of children’s wayfinding, using paper map and mobile navigation”. International Research in Geographical and Environmental Education, Vol. 26 Issue 2, pp. 91-106.
Hill, C. W. L., Jones, G. R., & Schilling, M. A. (2016). Strategic Management Theory. Boston: Cengage Learning.
Huang, C.H. and Wang, C.M. (2011). “Usability analysis in gesture operation of interactive e-books on mobile devices”. International Conference, Vol. 6769 No. 2, pp. 573-582.
Huang, R. (2005). “Digital Library Principles and Techniques”, Wuhan University Press, Wuhan.
Hult, G.T.M. & Ketchen, D.J. (2001). “Does market orientation matter?: A test of the relationship between positional advantage and performance”. Strategic Management Journal, Vol. 22 Issue 9, pp. 899-906.
IfM and IBM, (2008). “Institute for Manufacturing and International Business Machines Corporations. Succeeding Through Service Innovation: A Service Perspective for Education, Research, Business and Government”. University of Cambridge, United Kingdom.
Iman, N. (2018). “Is mobile payment still relevant in the fintech era?” Electronic Commerce Research and Applications 30, pp. 72-82.
Isinkaye F.O., Folajimi Y.O., Ojokoh B.A.(2015). “Recommendation systems: Principles, methods and evaluation”. Egyptian Informatics Journal, Vol. 16 Issue 3, pp. 261-273.
Jan, N. and Nasrine, O. (2016). “The internet of things and convenience”. Internet Research, Vol. 26 No. 2, pp. 360-376.
Javier, F. and Marco, F. (2011). “Libraries in the digital ecology: reflections and trends”. Electronic Library, Vol. 29 No. 1, pp. 105-120.
Jefcoate, G. (1999). “Priorities for digital library research: a view from the British library research and innovation centre (beyond the beginning: the global digital library)”, available at: https://core.ac.uk/display/16299632 (accessed 29 July 2017).
Jiang, Z., Lamothe, J., and Benaben, F. (2017). “A Monitoring Framework of Collaborative Supply Chain for Agility”. IFAC-PapersOnLine, Vol. 50 Issue 1, pp. 13072-13077.
Jomsri, Pijitra (2018). “FUCL mining technique for book recommender system in library service”. Procedia Manufacturing, Vol. 22, pp. 550-557.
Kalee, T. (2012), “How it works: underground robot library”, available at: www.popsci.com/content/underground-robot-library (accessed 15 July 2017).
Kaske, N.K. (2004), “The ubiquitous library is here”, Portal Libraries and the Academy, Vol. 4 No. 2, pp. 291-297.
Khan, S. and Bhatti, R. (2018). “Semantic Web and ontology-based applications for digital libraries”. Electronic Library, Vol. 36 No. 5, pp. 826-841.
Kilinc, M. S., & Bennett Milburn, A. (2016). “A study of home telehealth diffusion among US home healthcare agencies using system dynamics”. IIE Transactions on Healthcare Systems Engineering, Vol. 6 Issue 3, pp. 140-161.
Koehler, W. (2004). “Digital libraries, digital containers, ‘library patrons’, and visions for the future”, Electronic Library, Vol. 22 No. 5, pp. 401-407.
Kohli, A.K., Jaworski, B.J., (1990). “Market orientation: the construct, research propositions, and managerial implications”. J. Mark. 54 (2), pp. 1–18.
Kovacevic, A., Devedzic, V. and Pocajt, V. (2010). “Using data mining to improve digital library services”. Electronic Library, Vol. 28 No. 6, pp. 829-843.
Langerak, F., Hultink, E.J. & Robben, H.S. (2004). “The impact of market orientation, product advantage, and launch proficiency on new product performance and organizational performance”. Journal of Product Innovation Management, Vol. 21 Issue 2, pp. 79-94.
Lee, J., & Hong, I. B. (2016). “Predicting positive user responses to social media advertising: The roles of emotional appeal, informativeness, and creativity”. International Journal of Information Management, Vol. 36 Issue 3, pp. 360-373.
Lemon, K. N., & Verhoef, P. C. (2016). “Understanding customer experience throughout the customer journey”. Journal of Marketing, Vol. 80 Issue 6, pp. 69-96.
Leorke, D., Wyatt, D. and McQuire, S. (2018). “More than just a library: public libraries in the smart city”. City, Culture and Society, Vol. 15, pp. 37-44.
Li, H. and Dong, F. (2016), “Research on the implementation strategy of the smart library services”, Library, Vol. 260 No. 5, pp. 80-84.
Liébana-Cabanillas, F., Marinkovic, V., de Luna, I. R., & Kalinic, Z. (2017). “Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach”. Technological Forecasting and Social Change, Vol. 129, pp. 117-130.
Liang, X. and Chen, Y. (2018). “Libraries in Internet of Things (IoT) era”. Library Hi Tech, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/LHT-11-2017-0233.
Liu, Q. (2015), “Practical exploration on intelligent library in Taipei city”, Library Development, Vol. 255 No. 9, pp. 56-59.
Lussier, B., & Hartmann, N. N. (2017). “How psychological resourcefulness increases salesperson’s sales performance and the satisfaction of their customers: Exploring the mediating role of customer-oriented behaviors”. Industrial Marketing Management, 62, pp. 160-170.
Maklan, S., Antonetti, P., & Whitty, S. (2017). “A better way to manage customer experience: Lessons from the Royal Bank of Scotland”. California Management Review, Vol. 59 Issue 2, pp. 92-115.
Martins, J., Costa, C., Oliveira, T., Gonçalves, R., & Branco, F. (2019). “How smartphone advertising influences consumers′ purchase intention”. Journal of Business Research, 94, pp. 378-387.
Massis, B. (2018). “Artificial intelligence arrives in the library”. Information and Learning Sciences, 119 (7/8), pp. 456-459.
Mattern, S. (2014), “Library as infrastructure”, Places Journal, Vol. 1, doi: 10.22269/140609.
Matear, S., Osborne, P., Garrett, T. & Gray, B.J. (2002). “How does market orientation contribute to service firm performance? An examination of alternative mechanisms”. European Journal of Marketing, 36(9/10), pp. 1058-1075.
McClell, G.H., Irwin, J.R., Disatnik, D., & Sivan, L. (2017). “Multicollinearity is a red herring in the search for moderator variables: A guide to interpreting moderated multiple regression models and a critique of Iacobucci, Schneider, Popovich, and Bakamitsos”. Behavior Research Methods, Vol. 49 Issue 1, pp. 394-402.
Menor, L., Roth, A.V., (2008). “New service development competence and performance: an empirical investigation in retail banking”. Prod. Oper. Manag. Vol. 17 Issue 3, pp. 267–284.
Miller, M.C., Reus, J.F., Matzke, R.P., Koziol, Q.A. and Cheng, A.P. (2004), “Smart libraries: best SQE practices for libraries with an emphasis on scientific computing”, available at: http://digital.library.unt.edu/ark:/67531/metadc899063.
Monty, R. (2018). “Creative Economy: how the interface of Uber Eats and iFood could change your menu”. Brazilian Journal of Operations & Production Management, Vol. 15 Issue 3, pp. 413-419.
Mwaniki, P. (2018). “Envisioning the future role of librarians: skills, services and information resources”. Library Management, 39 (1/2), pp. 2-11.
Narver, J.C., Slater, S.F., (1990). “The effect of a market orientation on business profitability”. J. Mark. 54, pp. 20–35.
Nikolaidou, M., Anagnostopoulos, D. and Hatzopoulos, M. (2005). “Development of a medical digital library managing multiple collections”. Electronic Library, Vol. 23 No. 2, pp. 221-236.
Noh Younghee. (2015). “Imagining Library 4.0: Creating a Model for Future Libraries”. Journal of Academic Librarianship, Vol. 41 Issue 6, pp. 786-797.
Novet, J. (2017). “Everyone keeps talking about A.I.–here’s what it really is and why it’s so hot now. CNBC”, available at: www.cnbc.com/2017/06/17/what-is-artificial-intelligence.html.
Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). “Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology”. Computers in Human Behavior, Vol. 61, pp. 404-414.
Oltean, F. D., & Gabor, M. R. (2016). “Service diversification–a multi-method analysis in Mures county hotels”. Engineering Economics, Vol. 27 Issue 5, pp. 618-628.
Penrose, E.T., (1959). “The Theory of the Growth of the Firm”. John Wiley & Sons, New York.
Pinfield, S., Eaton, J., Edwards, C., Russell, R., Wissenburg, A. and Wynne, P. (1998). “Realizing the hybrid library”. D-Lib Magazine, Vol. 4 No. 10, pp. 3-21.
Polese, F., Botti, A., Grimaldi, M., Monda, A., and Vesci, M. (2018). “Social innovation in smart tourism ecosystems: How technology and institutions shape sustainable value co-creation”. Sustainability, Vol. 10, No. 1, pp. 140.
Quazi, M. M., M. A. Fazal, A. S. M. A. Haseeb, F. Yusof, H. H. Masjuki, and A. Arslan, (2016). “Laser-Based Surface Modifications of Aluminum and its Alloys”. Critical Reviews in Solid State and Materials Sciences, Vol. 41 Issue 2, pp. 106-131.
Ranganathan, S.R. (1931). “The five laws of library science”, available at: www.librarianshipstudies.com/2017/09/five-laws-of-library-science.html.
Ranganathan, S.R. (1957). “The Five Laws of Library Science, 2nd ed.”. Asia Publishing House, Bombay.
Renda M E, Straccia U (2005). “A Personalized Collaborative Digital Library Environmental”. Information Processing & Management, Vol. 41 Issue 1, pp. 5-21.
Rhee, H. T., Yang, S. B., & Kim, K. (2016). “Exploring the comparative salience of restaurant attributes: A conjoint analysis approach”. International Journal of Information Management, Vol. 36 Issue 6, pp. 1360-1370.
Ronaldo, C. P., José-Mauricio, G. G., Ke, R. (2018). “The Sharing Economy Globalization Phenomenon: A Research Agenda”. Journal of International Management, Volume 24, Issue 1, pp. 52-64.
Rusbridge, C. (1998), “Towards the hybrid library”, D-Lib Magazine, available at: www.dlib.org/dlib/July98/rusbridge/07rusbridge.html (accessed 10 June 2017).
Ruutu, S., Casey, T., & Kotovirta, V. (2017). “Development and competition of digital service platforms: A system dynamics approach”. Technological Forecasting and Social Change, 117, pp. 119-130.
Samira Molaei, S. M., Mehrdad Khanmohammadi, M. K., Aalipour, M., & Hashemi, S. M. (2018). “Modelling Ecotourism Zoning Using FAHP-Case Study: Masal Area”. Asian Journal of Water, Environment and Pollution, Vol. 15, No. 2, pp. 01-11.
Satria, R. and Wahono, S. (2008), “Intelligent agent architecture for digital library”, available at: www.researchgate.net/publication/228968336_Intelligent_Agent_Architecture_for_Digital_Library.
SchÄFer, A., & Klammer, J. (2016). “Service dominant logic in practice: Applying online customer communities and personas for the creation of service innovations”. Management, Vol. 11 Issue 3, pp. 255-264.
Shen, K. and Shao, B. (2015). “The research and practice of smart library: taking Nanjing University library as an example”. New Century Library, Vol. 8 No. 7, pp. 24-28.
Shir A., Molberg K, (2013). “Interfaces to knowledge organization systems in Canadian digital library collections”. Online Information Review, Vol. 105 Issue 10, pp. 241-252.
Shorris, A. and Tarlow, M. (2016). “Mayor’s management report”, available at: www1.nyc.gov/assets/operations/downloads/pdf/mmr,2016/2016_mmr.pdf (accessed 15 July 2017).
Sinclair, B. (2009). “The blended librarian in the learning commons: new skills for the blended library”. College and Research Libraries News, Vol. 70 No. 9, pp. 504-516.
Si, S.L.,You, X.Y., Liu. H.C., & Zang, P. (2018). “DEMATEL Technique: A systematic review of the state-of-the-art literature on methodologies and applications”. Mathematical Problems in Engineering, 1, pp. 1-33.
Simović, A. (2018). “A Big Data smart library recommender system for an educational institution”. Library Hi Tech, Vol. 36 No. 3, pp. 498-523.
Slater, S.F. & Narver, J.C. (1993). “Product-market strategy and performance: an analysis of the Miles and Snow strategy types”. European Journal of Marketing, Vol. 27 Issue 10, pp. 33-51.
Spangler, W.S., Kreulen, J.T., Chen, Y., Proctor, L., Alba, A., Lelescu, A. and Behal, A. (2010), “A smarter process for sensing the information space”. IBM Journal of Research and Development, Vol. 54 No. 4, pp. 1-13.
Stank, T.P., Keller, S.B. & Daugherty, P.J. (2001). “Supply chain collaboration and logistical service performance”, Journal of Business Logistics, Vol. 22 Issue 1, pp. 29-48.
Tsai C.S., Chen M.Y. (2008). “Using adaptive resonance theory and data-mining techniques for materials recommendation based on the e-library environment”. Electronic Library, Vol. 26 Issue 3, pp. 287-302.
Urban J., Jose J.M. EGO (2010). “A personalized multimedia management and retrieval tool”. International Journal of Intelligent Systems, Vol. 21 Issue 7, pp. 725-745.
Vakkari, P. (2016). “Searching as learning: A systematization based on literature”. Journal of Information Science, Vol. 42 Issue 1, pp. 7-18.
Van Alstyne, M. W., Parker, G. G., & Choudary, S. P. (2016). “Pipelines, platforms, and the new rules of strategy”. Harvard Business Review, Vol. 94 Issue 4, pp. 54-62.
Vickery, S.K., Jayaram, J., Droge, C. & Calantone, R. (2003). “The effects of an integrative supply chain strategy on customer service and financial performance: an analysis of direct versus indirect relationships”. Journal of Operations Management, Vol. 21 Issue 5, pp. 523-539.
Voorhees, C. M., Walkowiak, T., Fombelle, P. W., Gregoire, Y., Bone, S., Gustafsson, A., & Sousa, R. (2017). “Service encounters, experiences and the customer journey: Defining the field and a call to expand our lens”. Journal of Business Research, 79, pp. 269-280.
Walsh, S., Flannery, D., & Cullinan, J. (2018). “Analysing the preferences of prospective students for higher education institution attributes”. Education Economics, Vol. 26 Issue 2, pp. 161-178.
Wang, J., Lai, J. Y., & Chang, C. H. (2016). “Modeling and analysis for mobile application services: The perspective of mobile network operators”. Technological Forecasting and Social Change, 111, pp. 146-163.
Wang, W. K., Ting, I. W. K., Kuo, K. C., Kweh, Q. L., & Lin, Y. H. (2018). “Corporate diversification and efficiency: evidence from Taiwanese top 100 manufacturing firms”. Operational Research, Vol. 18 Issue 1, pp. 187-203.
Wang, S. (2011). “New pattern of future libraries: the smart library”. Library Development, Vol. 12, pp. 1-5.
Wee, M.C., Abrizah, A. and Lagzian, F. (2013), “An identification of a model for digital library critical success factors”. Electronic Library, Vol. 31 No. 1, pp. 5-23.
Weerawardena, J. (2003). “The role of marketing capability in innovation-based competitive strategy”. Journal of Strategic Marketing, Vol. 11 Issue 1, pp. 15-35.
Weinberger, D. (2012). “Library as platform”, Library Journal, available at: https://web.archive.org/web/20180306224252/https://lj.libraryjournal.com/2012/09/future-of-libraries/by-david-weinberger.
Wei, Q. and Yang, Y. (2017). “WeChat library: a new mode of mobile library service”. Electronic Library, Vol. 35 No. 1, pp. 198-208.
Witell, L., Gebauer, H., Jaakkola, E., Hammedi, W., Patricio, L., & Perks, H. (2017). “A bricolage perspective on service innovation”. Journal of Business Research, 79, pp. 290-298.
Wu, E. (2012). “Smart library and the construction of its service model”. Information and Documentation Services, Vol. 33 No. 5, pp. 102-105.
Wyatt, D. McQuire, S. and Butt, D. (2015). “Public libraries in a digital culture”, Research Unit in Public Cultures, Melbourne.
Xiao, L. (2017). “Smart Space Officially Starts Being Used”, Ji’nan University Library Bulletin, 1 March, pp. 2-4.
Xie, R. and Liu, W. (2012). “SoLoMo and smart libraries”, Journal of Academic Libraries, Vol. 30 No. 3, pp. 5-11.
Yan, D. (2010). “Smart library based on internet of things”, Journal of Library Science, Vol. 32 No. 7, pp. 8-10.
Zhai Z.P (2014). “The design and realization of university library personalized service based on data mining technology”. Applied mechanics and materials, 1, pp. 6681-6684.
指導教授 沈建文(Chien-wen Shen) 審核日期 2020-1-17
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