Krzysztof Węcel – författare

This edited volume explores AI-driven digital transformation from the perspective of a well-established higher education institution. Featuring 23 chapters organized into six thematic areas – Decision Support, Data Processing, Marketing and Product Development, Supply Chains, Finance, and Foundational Issues – it provides practical examples of how business school departments can implement AI to foster innovation.Each chapter presents accessible case studies demonstrating AI applications in business, highlighting both benefits and risks. The volume bridges the gap between AI advancement and practical industry needs, offering actionable insights for integrating AI into decision-making, organizational processes, and curriculum development. Key contributions include demonstrating AI as a strategic enabler, positioning business schools as catalysts for change, recognizing sector-specific impacts, emphasizing ethical foundations, and promoting collaboration between academia, industry, and policymakers. This comprehensive resource equips educators and decision-makers with the knowledge and methods necessary to thrive in the era of AI-driven innovation and serves as a strategic blueprint for business schools to lead AI-driven transformation while maintaining ethical considerations.AI-Driven Digital Transformation will appeal to scholars and students of AI, technology, innovation management, and business education. It will also be of interest to business school leaders responsible for institutional strategies, educators creating study programs, curriculum specialists, and business leaders seeking AI implementation guidance within their expertise areas.

Information is a key factor in business today, and data warehousing has become a major activity in the development and management of information systems to support the proper flow of information. Unfortunately, the majority of information systems are based on structured information stored in organizational databases, which means that the company is isolated from the business environment by concentrating on their internal data sources only. It is therefore vital that organizations take advantage of external business information, which can be retrieved from Internet services and mechanically organized within the existing information structures. Such a continuously extending integrated collection of documents and data could facilitate decision-making processes in the organization. Filtering the Web to Feed Data Warehouses discusses areas such as:- how to use data warehouse for filtering Web content- how to retrieve relevant information from diverse sources on the Web - how to handle the time aspect - how to mechanically establish links among data warehouse structures and documents filtered from external sources - how to use collected information to increase corporate knowledge and gives a comprehensive example, illustrating the idea of supplying data warehouses with relevant information filtered from the Web.

Information is a key factor in business today, and data warehousing has become a major activity in the development and management of information systems to support the proper flow of information. Unfortunately, the majority of information systems are based on structured information stored in organizational databases, which means that the company is isolated from the business environment by concentrating on their internal data sources only. It is therefore vital that organizations take advantage of external business information, which can be retrieved from Internet services and mechanically organized within the existing information structures. Such a continuously extending integrated collection of documents and data could facilitate decision-making processes in the organization.Filtering the Web to Feed Data Warehouses discusses areas such as:- how to use data warehouse for filtering Web content- how to retrieve relevant information from diverse sources on the Web - how to handle the time aspect - how to mechanically establish links among data warehouse structures and documents filtered from external sources - how to use collected information to increase corporate knowledge and gives a comprehensive example, illustrating the idea of supplying data warehouses with relevant information filtered from the Web.

This contributes to the systematization of important issues at the crossroads of enterprise data and data sharing: data ownership, personal data, and data privacy.

This book examines the recent evolution of the concept of data as an economic and managerial phenomenon. The author first describes and discusses open data and then introduces the concept of linked data, with a focus on assets for reuse. Furthermore, he addresses the main challenges of big data. Value is identified as the main incentive for the adoption of linked data; accordingly, the next two chapters study sources of data value from a macroeconomic and micro economic perspective, respectively. This contributes to the systematization of important issues at the crossroads of enterprise data and data sharing: data ownership, personal data, and data privacy. In turn, the book reveals the role of innovation as a main vehicle for creating value by unifying big, open, and linked data. It studies the ways in which value can be created, transferred, and captured in the form of business models, before the closing chapter verifies the data unification model by combining open and linked geographical data with big data from a major telecom company.

This book constitutes the proceedings of the 25th International Conference on Business Information Systems, BIS 2025, which took place in Poznan, Poland, during June 25-27, 2025. sustainable operations and smart automation.

This book constitutes the workshops that were held in conjunction with the 25th International Conference on Business Information Systems, BIS 2025, which took place in Poznan, Poland, during June 25-27, 2025. This year's theme of the conference was "AI-driven business transformation: challenges and opportunities".The workshops received a total of 25 submissions from which 10 were selected for inclusion in the proceedings.Of these papers, 6 stem from the 13th Workshop on Applications of Knowledge-Based Technologies in Business, AKTB 2025, and 4 stem from the Workshop on Scientific Challenges and Business Opportunities in Sustainable Environmental Management, SciBO-SEM 2025.

This book constitutes the proceedings of the 26th International Conference on Business Information Systems, BIS 2026, which took place in Prague, Czech Republic, during June 10-12, 2026.This year's theme was "From Hype to Impact: Turning AI into Real Business Value".The 25 full papers and 6 short papers included in the proceedings were carefully reviewed and selected from 73 submissions. They were organized in topical sections as follows: Strategy, Architectures and Information Maturity; Information Safety; Trustworthy AI; Process Management and Automation; AI for Product Development; From Text to Knowledge; Speech Recognition; Innovations in Machine Learning; Requirements for AI and BI Systems; and Various Applications.

Business information systems is a rapidly developing domain. There are many topicsthatdeserveattentionbuthavenotyetfoundaplaceincanonicalresearch. Workshops give researchers the possibility to share preliminary ideas, ?rst - perimental results, or to discuss research hypotheses. Discussions held during presentations strengthen the paper and prepare it for publication. From our - perience, workshops are a perfect instrument with which to create a community aroundvery speci?c researchtopics, thus o?ering the opportunity to promote it. Topics that do not ?nd critical feedback at the main International Conference on Business Information Systems (BIS) may experience fruitful discussion when confronted with a well-focused audience. Over the last few decades, business informationsystems have been one of the most important factors of the transition toward a knowledge-based economy. At the same time they have been subject to continuous rapid development and innovation driven both by industry and by academia. For the last 12 years these innovations were carefully observed but also shaped by researchers attending BIS yearly.

This book constitutes the refereed proceedings of the three workshops that were organized in conjunction with the International Conference on Business Information Systems, BIS 2011, which took place in Poznań, Poland, June 15-17, 2011. The 18 workshop papers presented were carefully reviewed and selected from 38 submissions. The topics covered are applications and economics of knowledge-based technologies (AKTB), business and IT alignment (BITA), and legal information systems (LIT). In addition, eight papers from the co-located Business Process and Services Computing Conference (BPSC) are also included in this volume.