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BPM (=business process management). --- Informatiemanagement.
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Process measurement deals with the quantification of business process models using process model metrics. This book presents a theoretical framework for the prediction of external process model attributes (as, for example, error-proneness and understandabiltiy) based on internal (structural) attributes. The properties of proposed metrics are analyzed. A visualization technique for metric values is introduced and metrics for process model understandability and granularity are evaluated.
process model metric --- business process management --- process measurement
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business administration --- strategic management --- management technologies --- business process management --- corporate management --- social responsibility
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This book provides a detailed vogue picture of workforce management. Nowadays, the methodology of people management has been more advanced and dynamic; it becomes highly competitive. Keeping in mind the significance of economic and social development of the country, the author has tried to draw attention on innovative and creative practices of workforce retention in business. The book provides an idea on the way of merchandising with people, cultural dynamics with impacted leadership, investment in people for organizational transformation and the future of people management with artificial intelligence.
Information technology --- Artificial intelligence. --- Personnel management. --- Business Process Management. --- Artificial Intelligence. --- Human Resource Management. --- Management.
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This book provides valuable insights and guidance for firms looking to improve their operations in the face of disruption and uncertainty. It contributes to the body of knowledge in logistics and supply chain disciplines which will be useful to both industry practitioners and academics. With this, the book first emphasizes the road to outsourcing 4.0 by providing updated information and perspectives on these trends, given that outsourcing has evolved significantly over the years and new technologies, such as artificial intelligence (AI), cloud computing, Internet of Things (IoT), and machine learning are changing the way outsourcing is done. In addition, the book also explores new models such as third-party logistics (3PL) providers and crowdsourcing which have changed the landscape of outsourcing. Lastly, the book includes updated best practices for outsourcing, including how to choose outsourcing partners, manage outsourcing relationships, and minimize risks in the post-COVID-19 recovery period. Each chapter in the book goes through concepts, development histories, benefits, risks and challenges, and includes recent case studies. Dr. Mohammadreza Akbari (“Reza”) is an MBA Academic Director (JCUS), Course Coordinator (BBus, BCom), and Senior Lecturer (Supply Chain Management) at James Cook University, College of Business, Law, Governance. He has a Doctor of Business Administration (DBA) from Victoria University (Melbourne), a Master of Business Administration (MBA) from University Putra Malaysia (Serdang), a Graduate Certificate in Tertiary Teaching and Learning from RMIT University (Melbourne), and a certificate of Teaching in Higher Education from Harvard University BOK Centre (Cambridge).
Business logistics. --- Information technology --- Supply Chain Management. --- Business Process Management. --- Business IT Infrastructure. --- Management.
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Peter Piccard, Stéphane Yansenne, Master in Management option MBA. “Creation of a value proposition for SMEs based on Strategy, Process and Change Management: Customer profile and product definition.” The purpose of this study is to check the validity of our basic hypothesis: “is it possible to create a value proposition based on three different fields of knowledge: strategy, business process management and change management that can create value for SMEs”. This is done by taken into consideration two blocks of the Business Model Canvas, the Customer Profile and the Value Proposition and looking for the FIT between them. The Customer profile was drafted in accordance to the results of several interviews conducted by two different methods, the journalist approach and the qualitative research approach. The Value Proposition was designed, using techniques of all 3 concerning fields of knowledge, during a “Go Live” experiment in an existing company that served as our testing environment. The FIT was investigated by taken into consideration the correlation between the Customer Profile and the Value Proposition. On the basis of the results of our experiment, it can be concluded that the level of FIT between the Customer Profile and the Value Proposition is high enough for our basic hypothesis to be considered as confirmed.
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Peter Piccard, Stéphane Yansenne, Master in Management option MBA. “Creation of a value proposition for SMEs based on Strategy, Process and Change Management: Customer profile and product definition.” The purpose of this study is to check the validity of our basic hypothesis: “is it possible to create a value proposition based on three different fields of knowledge: strategy, business process management and change management that can create value for SMEs”. This is done by taken into consideration two blocks of the Business Model Canvas, the Customer Profile and the Value Proposition and looking for the FIT between them. The Customer profile was drafted in accordance to the results of several interviews conducted by two different methods, the journalist approach and the qualitative research approach. The Value Proposition was designed, using techniques of all 3 concerning fields of knowledge, during a “Go Live” experiment in an existing company that served as our testing environment. The FIT was investigated by taken into consideration the correlation between the Customer Profile and the Value Proposition. On the basis of the results of our experiment, it can be concluded that the level of FIT between the Customer Profile and the Value Proposition is high enough for our basic hypothesis to be considered as confirmed.
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“[A] fusion of empathetic strategies with practical insights offers a transformative perspective on workplace efficiency and burnout prevention, making it essential reading for leaders and HR professionals in creating sustainable, healthy organizational cultures.” - Ganna Pogrebna, Professor of Behavioral Analytics and Data Science, University of Sydney, Australia “[...] This is a must-read for those interested in both process management and burnout. And the links between both”. - Sir Cary L. Cooper, Professor of Organizational Psychology & Health, Alliance Manchester Business School, England “Blending rigorous academic research with real-world insights, this book is a must-read for anyone seeking to navigate the complexities of work efficiency and psychological well-being”. - Kurt Matzler, Professor of Strategic Management, University of Innsbruck, Austria, and author of The High Performance Mindset: Race Across America, listed in Forbes Ten Best Business Books of 2023 How can we work towards ensuring that organisations are robust and highly productive and avoid issues such as tiredness, burnout, high employee turnover, motivational issues, or problems with the emotional climate? Bringing together the fields of process management and organisational behaviour for the first time, this book provides sorely needed practical guidance on how organisations can diagnose, anticipate, and address psychological issues in their workforces as well as process vulnerabilities in their operations. Advocating for a human-centred approach to process management, the authors help discover and prevent negative psychological issues related to emotional exhaustion. This book offers a step-by-step toolkit for burnout recognition and systematic prevention using established process management tools. Thus, the book offers a deep look into psychological aspects far beyond classical process management. Yevgen Bogodistov, currently a Professor of Project and Process Management at the Management Centre Innsbruck (MCI), Austria, is a dedicated researcher in business process management and organisational behaviour. Prior to his academic role, he held positions as a leading economist, HR director, and COO in a midsize Ukrainian enterprise. Jürgen Moormann, a Professor of Bank and Process Management at the Frankfurt School of Finance & Management, specialises in strategic development, business engineering, and process management. With a background in management consulting, he brings valuable expertise to the German financial services sector.
Management. --- Personnel management. --- Information technology --- Human Resource Management. --- Business Process Management.
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This book is a revised version of the PhD dissertation written by the author at Sapienza – Università di Roma in Italy. Robotic Process Automation (RPA) is an automation technology in the field of BPM that creates software robots to automate rule-based and repetitive tasks performed by human users in their applications’ user interfaces (UIs). The research underlying this thesis is targeted to: (i) automatically understand which user actions contribute to which routines inside a UI log and (ii) automatically generate executable RPA scripts directly from the UI logs. To this end, a cross-platform software tool called smartRPA was developed, which is able to generate executable RPA scripts, and then validated on four non-functional requirements to measure the quality of the underlying approach. In 2023, the PhD dissertation won the “BPM Dissertation Award”, granted to outstanding PhD theses in the field of Business Process Management.
Business --- Artificial intelligence. --- Information technology --- Business Informatics. --- Artificial Intelligence. --- Business Process Management. --- Data processing. --- Management.
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This book presents techniques for process discovery, conformance checking and enhancement. For process discovery, it introduces the Inductive Miner framework: a recursive skeleton for discovery techniques that in itself provides several guarantees. The framework is instantiated in several concrete discovery techniques, each of which targets a specific challenge of process discovery, such as incompleteness of information or noisy behavior. For conformance checking, it introduces the Projected Conformance Checking framework, which focuses on speed, but nevertheless provides several guarantees, such as that for certain classes of models, it can decide language equivalence. For enhancement, it introduces the Inductive visual Miner, a well-polished end-user focused tool that includes process discovery, conformance checking and that can visualize performance on a discovered model, all without any user input.
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