| Description |
1 online resource (129 pages) |
| Contents |
Intro -- Foreword -- Preface -- Table of Contents -- List of Figures -- List of Tables -- List of Abbreviations -- 1 Introduction -- 1.1 The Need for Dynamic Decision Support in Electronic Requirements Negotiations -- 1.2 Research Objective and Research Questions -- 1.3 Structure of this Thesis -- 2 Theoretical and Methodological Background -- 2.1 Decision Support in Electronic Requirements Negotiations -- 2.2 Design Science Research Methodology -- 3 Decision Problems in Requirements Negotiations -- 3.1 Introduction -- 3.2 Decision Problem Structure in Negotiations |
|
3.3 Requirements Negotiations -- 3.3.1 Decision Problem Structures in Traditional Requirements Negotiations -- 3.3.2 Decision Problem Structures in Agile Requirements Negotiations -- 3.3.3 Matrix of Possible Decision Problem Structures -- 3.4 Discussion and Conclusion -- 3.5 Acknowledgements -- 4 Assessment of Multi-Criteria Preference Measurement Methods for a Dynamic Environment -- 4.1 Introduction -- 4.2 Theoretical Background and Related Work -- 4.2.1 Utility Based Multi-Criteria Decision Analysis Approaches -- 4.2.2 Dynamic Multi-Criteria Decision Analysis Methods |
|
4.3 Selection of an Adequate Preference Measurement Method -- 4.3.1 Requirements and Assessment Scale -- 4.3.2 Selection of Methods -- 4.4 Assessment of Selected Methods -- 4.4.1 Qualitative Fulfilment of Requirements -- 4.4.2 Quantitative Performance Assessment -- 4.4.2.1 Validity -- 4.4.2.2 Efficiency -- 4.4.2.3 Survey difficulty -- 4.4.3 Discussion and Evaluation -- 4.5 Conclusion and Outlook -- 4.6 Acknowledgements -- 5 DynASE -- A Method for Dynamic Preference Adjustment in Electronic Negotiations -- 5.1 Introduction -- 5.2 Preference Measurement in Electronic Negotiations |
|
5.2.1 Multi-Attribute Utility Theory and Assumptions Made -- 5.2.2 Approaches -- 5.2.3 Perception of the Preference Measurement Method and Its Results -- 5.3 Extension of ASE to Fit Dynamic Demands -- 5.4 Implementation of DynASE -- 5.5 Empirical Study -- 5.5.1 Comparable Method -- 5.5.2 Procedure and Participants -- 5.5.3 Measures -- 5.5.4 Descriptive Results -- 5.5.5 Results -- 5.5.6 User Perception -- 5.6 Discussion -- 5.7 Conclusion and Outlook -- 6 Designing Dynamic Decision Support for Electronic Requirements Negotiations -- 6.1 Introduction -- 6.2 State-of-the-Art -- 6.3 Methodology |
|
6.4 Design of the Dynamic Decision Support Component -- 6.4.1 A Concept for Dynamic Decision Support -- 6.4.2 Instantiation of Dynamic Decision Support in a Negotiation Support System -- 6.5 Scenario-Based Comparison of Dynamic Decision Support for Requirements Negotiation -- 6.5.1 Characteristics of the Decision Support Components -- 6.5.2 Comparison of the Decision Support Components -- 6.6 Discussion and Conclusions -- 6.7 Acknowledgements -- 7 Discussion and Outlook -- 7.1 Summary -- 7.2 Discussion -- 7.3 Limitations -- 7.4 Contribution -- 7.5 Outlook -- References -- Appendix |
| Summary |
Annika Lenz develops an interactive preference measurement method, which provides dynamic preference adjustment, to assess alternatives in terms of utility for an individual decision maker throughout the requirements negotiation process. Consequently, interactive dynamic decision support is designed, which can handle changes related to requirements dynamically. An empirical study shows that the newly developed method is both objectively and subjectively more efficient than a static alternative. Thus, it is argued that efficient preference adjustment enables decision support based on up-to-date preferences. The designed support component is compared to two state-of-the-art approaches for decision support in requirements negotiations. Contents Decision Problems in Requirements Negotiations Assessment of Multi-Criteria Preference Measurement Methods for a Dynamic Environment DynASE - A Method for Dynamic Preference Adjustment in Electronic Negotiations Designing Dynamic Decision Support for Electronic Requirements Negotiations Target Groups Scientists and students in the field of business information systems Practitioners working in the area of requirements engineering About the Author Annika Lenz was a research assistant at the Information Systems Department 1 - Organisational Communication at the University of Hohenheim, Germany, and is currently working in the field of digital transformation |
| Notes |
A1 Case Study Information Including Preferences for Initial Preference Elicitation |
| Bibliography |
Includes bibliographical references |
| Notes |
Print version record |
| Subject |
Decision support systems.
|
|
Requirements engineering.
|
|
Decision Support Systems, Management
|
|
Decision support systems
|
|
Requirements engineering
|
| Form |
Electronic book
|
| ISBN |
9783658311759 |
|
3658311754 |
|
