This book investigates how academic and public libraries support entrepreneurs by offering diverse business support services in collaboration with other business support actors. The chapters explore opportunities to innovate these services through artificial intelligence (AI) integration and structured experimentation, with a strong emphasis on co-creation between librarians and entrepreneurs. Collaborative AI experimentations are examined as mechanisms to strengthen adoption factors for Generative AI tools and to support informed decisions regarding adoption or switching to the alternative solutions. Two practical experimentation approaches are introduced: Need-Based Experimentation (NBE), addressing service gaps or operational goals; and Curiosity-Based Experimentation (CBE), encouraging exploratory trials of emerging AI tools. Real-world cases from diverse libraries illustrate adaptable, practice-based examples for providing business support services, conducting AI experimentations, and integrating Monitoring & Evaluation (M&E) for both formative and summative assessments. To operationalize these insights, the book includes AI experimentation policies, structured reporting templates, business case formats, and instructional guides for AI tools such as ASReview, Connected Papers, and Citation Gecko. The book advocates that innovation in libraries is achievable for any institution, regardless of size or resources, through experimentation, patrons engagement in AI experimentations, and embedded M&E practices, positioning libraries as active collaborators within their local innovation ecosystems.
本書探討學術和公共圖書館如何透過與其他商業支持機構的合作，提供多樣的商業支持服務來支持創業者。各章節探討如何通過人工智慧（AI）整合和結構化實驗來創新這些服務，並強調圖書館員與創業者之間的共同創作。合作式的AI實驗被視為加強生成式AI工具採用因素的機制，並支持有關採用或轉向替代解決方案的知情決策。書中介紹了兩種實用的實驗方法：需求導向實驗（Need-Based Experimentation, NBE），針對服務缺口或運營目標；以及好奇心導向實驗（Curiosity-Based Experimentation, CBE），鼓勵對新興AI工具的探索性試驗。來自不同圖書館的實際案例展示了可調整的、基於實踐的商業支持服務提供範例，進行AI實驗，以及整合監測與評估（Monitoring & Evaluation, M&E）以進行形成性和總結性評估。為了將這些見解具體化，本書包括AI實驗政策、結構化報告模板、商業案例格式，以及針對AI工具如ASReview、Connected Papers和Citation Gecko的指導手冊。本書主張，無論機構的規模或資源如何，圖書館的創新都是可實現的，透過實驗、讀者參與AI實驗和嵌入式的M&E實踐，將圖書館定位為其當地創新生態系統中的積極合作者。
Varun Gupta, Ph.D., is a Professor of Digital Innovation and Director of the Multidisciplinary Research Centre for Innovations in SMEs (MrciS) at Gisma University of Applied Sciences, Germany, and a Researcher at Universidad de Alcalá, Spain. He holds three doctorates in Organizational Engineering, Economics and Business Management, and Computer Science and Engineering and also earned an MBA, a Máster en Dirección Internacional de Empresas, a Master of Technology (By Research), and a Bachelor of Technology in Computer Science and Engineering. His past affiliations include University College London, University of Toronto, Leicester University, Lund University, Sapienza Università di Roma, Free University of Bozen-Bolzano, University of South-Eastern Norway, Poznań University of Technology, and Uniwersytet Szczeciński. His research focuses on software engineering, digital innovation, technology adoption in SMEs, entrepreneurship, and international business management.
Varun Gupta 博士是德國 Gisma 應用科技大學數位創新教授及中小企業創新多學科研究中心 (MrciS) 的主任，同時也是西班牙阿爾卡拉大學的研究員。他擁有三個博士學位，分別是組織工程、經濟學與商業管理，以及計算機科學與工程，並且獲得了工商管理碩士 (MBA)、國際企業管理碩士 (Máster en Dirección Internacional de Empresas)、研究型技術碩士，以及計算機科學與工程學士學位。他曾任職於倫敦大學學院、加拿大多倫多大學、萊斯特大學、隆德大學、羅馬薩賓納大學、博岑-博爾扎諾自由大學、南東挪威大學、波茲南科技大學及薩切青大學。他的研究重點包括軟體工程、數位創新、中小企業的技術採用、創業及國際商業管理。
