Business Process Management And Decision Support Systems
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Business Process Management And Decision Support Systems
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Author : Quazi Khabeer
language : en
Publisher:
Release Date : 2013
Business Process Management And Decision Support Systems written by Quazi Khabeer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Business & Economics categories.
Business Process Management and Decision Support Systems combines the existing Business Process with the Decision Support System as a solution technology - providing insights on how to conceptualize a business process of an existing enterprise and evaluate and audit its requirement for optimum performance in terms of performance, process, product, people, problems and proposals for innovative, improved solutions. This book guides both students and researchers in designing the solution strategy for corporate business. The book describes the Business Process Management with respect to Business activity monitoring, Business intelligence, Business process automation, Business re-engineering and Business enterprise planning. The latter section of the book outlines decision support system for big business setups and enterprises, an overview of Decision Support Systems, Data warehousing, access, analysis and visualization, The architecture of decision support system development, Hardware/Software user interface, Expert system for decision support, Executive support system, Geographical information system and Group decision support system.
Decision Support Systems
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Author : Chiang Jao
language : en
Publisher: BoD – Books on Demand
Release Date : 2010-01-01
Decision Support Systems written by Chiang Jao and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-01 with Computers categories.
Decision support systems (DSS) have evolved over the past four decades from theoretical concepts into real world computerized applications. DSS architecture contains three key components: knowledge base, computerized model, and user interface. DSS simulate cognitive decision-making functions of humans based on artificial intelligence methodologies (including expert systems, data mining, machine learning, connectionism, logistical reasoning, etc.) in order to perform decision support functions. The applications of DSS cover many domains, ranging from aviation monitoring, transportation safety, clinical diagnosis, weather forecast, business management to internet search strategy. By combining knowledge bases with inference rules, DSS are able to provide suggestions to end users to improve decisions and outcomes. This book is written as a textbook so that it can be used in formal courses examining decision support systems. It may be used by both undergraduate and graduate students from diverse computer-related fields. It will also be of value to established professionals as a text for self-study or for reference.
Business Process Management Current Applications And The Challenges Of Adoption
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Author : Renata Gabryelczyk
language : en
Publisher: Cognitione Foundation for Dissemination of Knowledge and Science
Release Date : 2020-01-01
Business Process Management Current Applications And The Challenges Of Adoption written by Renata Gabryelczyk and has been published by Cognitione Foundation for Dissemination of Knowledge and Science this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-01 with Business & Economics categories.
Business Process Management (BPM) has been evolving for over 25 years in information systems research, management science, and organizational practice (Vom Brocke & Mendling, 2018). The earliest characteristics of BPM concentrated around process analysis, improvement and control, in a less strict manner that required reengineering (Elzinga, Horak, Lee, & Bruner, 1995). More mature approaches, observed since the year 2000, have been promoting the so-called process thinking, i.e. managing an organization from a process-based point of view. These approaches emphasize that process and team work oriented organizational structures should be aligned with other management systems. Process management should be holistic by its nature so as to cover an entire organization. Although BPM researchers stressed the need for system thinking at that time, published literature distinguished two perspectives of looking at BPM: the organizational perspective and the technological perspective of BPM. From the organizational perspective, authors focused on a number of key factors, i.e., process governance, a process-based organizational structure concept, customer orientation of internal and external processes, managing an organization based on process outputs, building process relations, and improving process maturity throughout the customer value chain, as well as through strategically aligning process initiatives to organizational objectives. From the technological perspective, the key factors of interest to authors, referred to as BPMS (Business Process Management System), include IT methods, techniques and tools that support the designing, implementation, modeling and simulation of business processes and are considered to be an extension of classical workflow systems or an environment for designing management support IT systems, e.g. ERP class systems. An integrated and interdisciplinary approach was proposed in the framework of six core BPM elements required for the holistic and sustainable use of process management (Rosemann & Vom Brocke, 2010). These include strategic alignment, governance, methods, information technology, people and culture. In this sense, technology is only one of six closely interrelated elements. Currently, there are two distinct directions in the evolution of BPM: traditional BPM and digital BPM. The former encompasses methods, techniques and systems that traditionally lead to increased organizational efficiency and to improved process effectiveness and flexibility. Although studies on BPM have been continuously evolving, some research gaps still remain open. The traditional understanding of process management seems particularly vital to organizations in developing economies, which sometimes follow practices and models that were designed and tested in highly developed countries, but should also be committed to drawing on their own experience and understanding of their local business environment (Gabryelczyk & Roztocki, 2018). Research on BPM in this traditional focus is still needed to better document, implement and improve idiosyncratic business processes in the context of an organization, environment, culture, and country. This is also confirmed by research conducted under the JEMI Special Issue on Business Process Management. Besides the traditionally shaped approach to BPM, organizations increasingly treat BPM as a driver of organizational innovation and as an essential part of the digital transformation (Vom Brocke & Schmiedel, 2015). New digital technologies such as social media, digital platforms, big data and advanced data analytics, blockchains, robotics, etc., enable development and growth in a constantly changing environment. To take advantage of these opportunities in the digital world, organizations require new BPM competences and capabilities. However, digital disruption creates quite a challenge for the BPM research community. How can BPM capabilities be developed in order to achieve adaptability, growth, flexibility, and agility? How can BPM foster innovations within and throughout organizations? These are just some of the issues for future BPM-related research. Threads associated with employing BPM for digital transformation have been included in a proposed Special Issue on BPM. This Special Issue on BPM consists of six articles including contributions from invited authors from three transition economies: Croatia, Slovakia, and Poland. All of the papers focus on applications of the process approach to management or directly to the adoption of Business Process Management. The majority of articles relate to the traditional BPM thread, although the indicated BPM alliances with other concepts such as Knowledge Management, Change Management, and Project Management are worthy of note. Only one article addresses the topic of BPM in the context of digital transformation. The nature and structure of these articles may be indicative of the current motivational factors and process maturity levels of organizations adopting ordinary and/or advanced BPM practices. When analyzing the content of individual articles, we pay attention to the factors underlying BPM adoption. We understand the primary motivation to be the expected benefits from BPM. Therefore, we can assume this Special Issue to be a contribution to BPM development in the form of the indicating motivation and triggers for BPM adoption. The first paper, by Jerzy Auksztol and Magdalena Chomuszko, proposes a process-based approach to construct a Data Control Framework for Standard Audit File for Tax (SAF-T). The process approach is used to redesign the internal financial control processes and procedures of an organization to meet the new requirements of a fiscal audit. The process approach, combined with risk management and quality management, is, therefore, a tool supporting entrepreneurs adapting to new regulations imposed on them by their external environment, particularly those of tax authorities. Therefore, in this case, the main motivation for adopting elements of BPM was the impact of external environment factors. The paper by Ana-Marija Stjepić, Lucija Ivančić, and Dalia Suša Vugec focuses on the link between Business Process Management and digital transformation. The authors have developed a theoretical framework for the emerging role of BPM in digitalization and as a guide for researchers and practitioners conducting digital transformation initiatives in organizations. The results obtained in the article prove that the set goals and expected benefits of digital transformation can be achieved by a rethink and improvement of the processes, with a particular focus on end-to-end customer processes through supply chain management. Based on this article, we can conclude that one of the main motivational factors for BPM adoption is a desire to obtain the benefits of digital transformation. The article written by Miroslava Nyulásziová and Dana Paľová takes up the issues of using and linking the process approach and BPM lifecycle with the designing of decision support systems. The authors of this paper have developed an innovative system for decision support by implementing modeling, analysis, and improvement methods to the transportation process in the studied organization. The forwarding company’s case study presented in the paper also shows how BPM adoption began with a single main process that has been streamlined and automated. Therefore, the motivations for BPM adoption were not only operational, relating to the optimization of the cost of the process, but also managerial, oriented on improving the decision-making process. The use of information technology allowed the full exploitation of the potential for process improvements. The next paper by Olga Sobolewska is about incorporating the issues of BPM into the contemporary challenges of network organizations. The author claims that the organization’s orientation towards both business processes and knowledge management is a strong success factor for network cooperation. The author argues that modern organizations should focus on managing knowledge-oriented processes to become attractive to cooperation partners for network organizations. In this article, BPM adoption is of a strategic nature for the purposes of undertaking new forms of cooperation. The paper by Hubert Bogumił has an interdisciplinary character and, in a unique way, shows the connections between the concepts of process management, organizational change management, and IT project management. The author undertook the challenge of examining how problems for organizations managing IT projects facilitate in different ways the use of distinctive approaches to improve business processes. The author emphasizes that the main difficulty is the fact that modern organizations most often use a hybrid approach, with elements of both traditional project management and agile. The need to create a work environment that takes into account the risk of unexpected system and business regression, as well as a diagnosis of the causes and methods of its mitigation, is the initial research result in this paper. This article contributes to the development of BPM governance and integration of IT governance. The motivational factors for BPM are multi-faceted, as is the scope of the article. However, their managerial and cultural character (related to methods of communication and rules of cooperation in teams) should be emphasized. The article by Agnieszka Bitkowska concerns the integration of the concept of Knowledge Management and BPM. The author restates in her article that the identification, acquisition, presentation and documentation of knowledge are not independent tasks, but are implemented within business processes. In this paper, the correlations between BPM and Knowledge Management have been examined and the benefits and practical implications resulting from the integrated implementation of both concepts are emphasized. In the case of this article, BPM adoption can be a success factor for the implementation of Knowledge Management and the achievement of associated benefits. Studying Business Process Management from the different angles presented in this Special Issue should enrich our understanding of current BPM practices and better realize future challenges, especially those related to BPM development in the context of digital transformation and the integration of BPM with other management-related concepts. In addition, the contribution made by the authors of this Special Issue allowed us to see various motivations and triggers for BPM adoption, from operational, to managerial, strategic, cultural and technological ones, and those driven by the external environment. We would like to thank the authors for their contribution to this Special Issue. We would also like to thank all the reviewers for their valuable comments, which helped the authors improve their articles significantly. We are firmly convinced that the BPM research results presented in this Special Issue will help strengthen the existing body of BPM knowledge. We recommend reading the related issue of the JEMI journal to the wider community of BPM researchers, practitioners, and enthusiasts. Guest Editors Renata Gabryelczyk , Tomislav Hernaus Acknowledgments The editorial work on this Special Issue was supported by the Polish National Science Centre, Poland, Grant No. 2017/27/B/HS4/01734. References Elzinga, D. J., Horak, T., Lee, C.-Y., & Bruner, C. (1995). Business process management: Survey and methodology. IEEE Transactions on Engineering Management, 42(2), 119-128. http://dx.doi.org/10.1109/17.387274 Gabryelczyk, R., & Roztocki, N. (2018). Business process management success framework for transition economies. Information Systems Management, 35(3), 234-253. http://dx.doi.org/10.1080/10580530.2018.1477299http://dx.doi.org/10.1080/10580530.2018.1477299 Rosemann, M., & Vom Brocke, J. (2010). The six core elements of business process management. In Handbook on Business Process Management 1. Cham: Springer. Vom Brocke, J., & Mendling, J. (Eds.). (2018). Business Process Management Cases. Digital Innovation and Business Transformation in Practice. Berlin: Springer. Vom Brocke, J., & Schmiedel, T. (Eds.). (2015). BPM-Driving Innovation in a Digital World. Cham: Springer.
Decision Support Systems For Business Intelligence
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Author : Vicki L. Sauter
language : en
Publisher: John Wiley & Sons
Release Date : 2014-08-21
Decision Support Systems For Business Intelligence written by Vicki L. Sauter and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-21 with Business & Economics categories.
Praise for the First Edition "This is the most usable decision support systems text. [i]t is far better than any other text in the field" —Computing Reviews Computer-based systems known as decision support systems (DSS) play a vital role in helping professionals across various fields of practice understand what information is needed, when it is needed, and in what form in order to make smart and valuable business decisions. Providing a unique combination of theory, applications, and technology, Decision Support Systems for Business Intelligence, Second Edition supplies readers with the hands-on approach that is needed to understand the implications of theory to DSS design as well as the skills needed to construct a DSS. This new edition reflects numerous advances in the field as well as the latest related technological developments. By addressing all topics on three levels—general theory, implications for DSS design, and code development—the author presents an integrated analysis of what every DSS designer needs to know. This Second Edition features: Expanded coverage of data mining with new examples Newly added discussion of business intelligence and transnational corporations Discussion of the increased capabilities of databases and the significant growth of user interfaces and models Emphasis on analytics to encourage DSS builders to utilize sufficient modeling support in their systems A thoroughly updated section on data warehousing including architecture, data adjustment, and data scrubbing Explanations and implications of DSS differences across cultures and the challenges associated with transnational systems Each chapter discusses various aspects of DSS that exist in real-world applications, and one main example of a DSS to facilitate car purchases is used throughout the entire book. Screenshots from JavaScript® and Adobe® ColdFusion are presented to demonstrate the use of popular software packages that carry out the discussed techniques, and a related Web site houses all of the book's figures along with demo versions of decision support packages, additional examples, and links to developments in the field. Decision Support Systems for Business Intelligence, Second Edition is an excellent book for courses on information systems, decision support systems, and data mining at the advanced undergraduate and graduate levels. It also serves as a practical reference for professionals working in the fields of business, statistics, engineering, and computer technology.
Management Decision Support Systems
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Author : Andrew M. McCosh
language : en
Publisher: Springer
Release Date : 1978-06-17
Management Decision Support Systems written by Andrew M. McCosh and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978-06-17 with Business & Economics categories.
Decision Management Systems
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Author : James Taylor
language : en
Publisher: Pearson Education
Release Date : 2011-10-13
Decision Management Systems written by James Taylor and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-13 with Business & Economics categories.
"A very rich book sprinkled with real-life examples as well as battle-tested advice.” —Pierre Haren, VP ILOG, IBM "James does a thorough job of explaining Decision Management Systems as enablers of a formidable business transformation.” —Deepak Advani, Vice President, Business Analytics Products and SPSS, IBM Build Systems That Work Actively to Help You Maximize Growth and Profits Most companies rely on operational systems that are largely passive. But what if you could make your systems active participants in optimizing your business? What if your systems could act intelligently on their own? Learn, not just report? Empower users to take action instead of simply escalating their problems? Evolve without massive IT investments? Decision Management Systems can do all that and more. In this book, the field’s leading expert demonstrates how to use them to drive unprecedented levels of business value. James Taylor shows how to integrate operational and analytic technologies to create systems that are more agile, more analytic, and more adaptive. Through actual case studies, you’ll learn how to combine technologies such as predictive analytics, optimization, and business rules—improving customer service, reducing fraud, managing risk, increasing agility, and driving growth. Both a practical how-to guide and a framework for planning, Decision Management Systems focuses on mainstream business challenges. Coverage includes Understanding how Decision Management Systems can transform your business Planning your systems “with the decision in mind” Identifying, modeling, and prioritizing the decisions you need to optimize Designing and implementing robust decision services Monitoring your ongoing decision-making and learning how to improve it Proven enablers of effective Decision Management Systems: people, process, and technology Identifying and overcoming obstacles that can derail your Decision Management Systems initiative
Decision Support Systems Ix Main Developments And Future Trends
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Author : Paulo Sérgio Abreu Freitas
language : en
Publisher: Springer
Release Date : 2019-05-20
Decision Support Systems Ix Main Developments And Future Trends written by Paulo Sérgio Abreu Freitas and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-20 with Computers categories.
This book constitutes the proceedings of the 5th International Conference on Decision Support Systems Technologies, ICDSST 2019, held in Madeira, Portugal, in May 2019. This year the conference is a EURO mini conference and therefore has a slightly different acronym: "EmC-ICDSST 2019". The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST), starting with ICDSST 2015 in Belgrade, was planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities. The main topic of this year’s conference was “Main Developments and Future Trends”. The 11 papers presented in this volume were carefully reviewed and selected from 59 submissions. They were organized in topical sections named: decision support systems in societal issues; decision support systems in industrial and business applications; and advances in decision support systems’ methods and technologies.
Business Process Management
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Author : Michael Glykas
language : en
Publisher: Springer
Release Date : 2012-09-18
Business Process Management written by Michael Glykas and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-18 with Technology & Engineering categories.
Business Process Management (BPM) has been in existence for decades. It uses, complements, integrates and extends theories, methods and tools from other scientific disciplines like: strategic management, information technology, managerial accounting, operations management etc. During this period the main focus themes of researchers and professionals in BPM were: business process modeling, business process analysis, activity based costing, business process simulation, performance measurement, workflow management, the link between information technology and BPM for process automation etc. More recently the focus moved to subjects like Knowledge Management, Enterprise Resource Planning (ERP) Systems, Service Oriented Architectures (SOAs), Process Intelligence (PI) and even Social Networks. In this collection of papers we present a review of the work and the outcomes achieved in the classic BPM fields as well as a deeper insight on recent advances in BPM. We present a review of business process modeling and analysis and we elaborate on issues like business process quality and process performance measurement as weel as their link to all other organizational aspects like human resources management, strategy, information technology (being SOA, PI or ERP), other managerial systems, job descriptions etc. We also present recent advances to BPR tools with special focus on information technology, workflow, business process modeling and human resources management tools. Other chapters elaborate on the aspect of business process and organizational costing and their relationship to business process analysis, organizational change and reorganization. In the final chapters we present some new approaches that use fuzzy cognitive maps and a recently developed software tool for scenario creation and simulation in strategic management, business process management, performance measurement and social networking. The audience of this book is quite wide. The first chapters can be read by professionals, academics and students who want to get some basic insight into the BPM field whereas the remaining present more elaborate and state of the art concepts methodologies and tools for an audience of a more advanced level.
Decision Support Systems
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Author : Daniel Power
language : en
Publisher: iUniverse
Release Date : 2004-12
Decision Support Systems written by Daniel Power and has been published by iUniverse this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-12 with Business & Economics categories.
For MIS specialists and nonspecialists alike, a comprehensive, readable, understandable guide to the concepts and applications of decision support systems.
Engineering And Management Of It Based Service Systems
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Author : Manuel Mora
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-10-19
Engineering And Management Of It Based Service Systems written by Manuel Mora and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-19 with Technology & Engineering categories.
Intelligent Decision-Making Support Systems (i-DMSS) are specialized IT-based systems that support some or several phases of the individual, team, organizational or inter-organizational decision making process by deploying some or several intelligent mechanisms. This book pursues the following academic aims: (i) generate a compendium of quality theoretical and applied contributions in Intelligent Decision-Making Support Systems (i-DMSS) for engineering and management IT-based service systems (ITSS); (ii) diffuse scarce knowledge about foundations, architectures and effective and efficient methods and strategies for successfully planning, designing, building, operating, and evaluating i-DMSS for ITSS, and (iii) create an awareness of, and a bridge between ITSS and i-DMSS academicians and practitioners in the current complex and dynamic engineering and management ITSS organizational. The book presents a collection of 11 chapters referring to relevant topics for both IT service systems and i-DMSS including: problems of selection of IT service providers, optimization of supply chain systems, IT governance decisions, clinical decision support, dynamic user-interface adaptation, re-engineering of processes, and generic decision problems. Advanced IT technologies used in some chapters are: fuzzy multi-criteria mechanisms, semantic processing, data mining processing, and rough sets. Other chapters report traditional DSS mechanisms but used or suggested to be used in innovative mode for IT service engineering and management tasks.