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Enterprise Identity Management: Towards an Investment Decision Support Approach 2013 ed. [Kõva köide]

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  • Formaat: Hardback, 219 pages, kõrgus x laius: 235x155 mm, kaal: 4853 g, XX, 219 p., 1 Hardback
  • Sari: Progress in IS
  • Ilmumisaeg: 22-Mar-2013
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642350399
  • ISBN-13: 9783642350399
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Enterprise Identity Management: Towards an Investment Decision Support Approach 2013 ed.Suurem pilt
  • Formaat: Hardback, 219 pages, kõrgus x laius: 235x155 mm, kaal: 4853 g, XX, 219 p., 1 Hardback
  • Sari: Progress in IS
  • Ilmumisaeg: 22-Mar-2013
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642350399
  • ISBN-13: 9783642350399
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783642350399.html
Märksõnad:
?The introduction of Enterprise Identity Management Systems (EIdMS) in organizations even beyond the purely technological level is a costly and challenging endeavor. However, for decision makers it seems difficult to fully understand the impacts and opportunities arising from the introduction of EIdMS. This book explores the relevant aspects for an ex-ante evaluation of EIdMS. Therefore it examines this domain by employing a qualitative expert interview study to better understand the nature of EIdMS, as they are situated between security and productive IT systems. To this regard, the focus is put on the general nature of EIdMS projects and the constructs being relevant for analyzing such projects in the decision support phase. Based on the derived constructs and thematic topics from the interviews, an explanatory model for EIdMS introductions is derived and iteratively improved and evaluated. Finally, a possible application use-case for the creation of adequate decision support tools is presented.

Arvustused

From the reviews:

Describes the principles of authentication, authorization, and privilege management on computer systems, and EIdM systems (EIdMS) provide the technical solutions for administering these privileges. provides the foundation needed to support decision-making processes that can successfully justify an EIdMS implementation. will be a valuable aid to professionals working in this area. (David B. Henderson, Computing Reviews, January, 2014)

Part I Awareness and Suggestion
1 Introduction
3(10)
1.1 Motivation
3(1)
1.2 Problem Description
4(4)
1.3 Objective of This Thesis
8(1)
1.4 Structure of This Thesis
8(2)
1.5 Conventions of This Thesis
10(3)
2 Scientific Positioning and Research Approach
13(14)
2.1 Scientific Positioning
13(2)
2.2 Applied Design-Science Framework
15(9)
2.2.1 Design-Science Principles and Guidelines
17(2)
2.2.2 Design-Science Framework
19(5)
2.3 Mapping of Articles
24(3)
Part II Development of the Artefact
3 EIdM: Concepts, Technologies, and Application Fields
27(30)
3.1 What Is Identity?
28(7)
3.1.1 Identity Concepts
29(3)
3.1.2 Digital Identity and Partial Identities
32(1)
3.1.3 The Identity Life Cycle
33(2)
3.2 Identity Management and Identity Management Systems
35(11)
3.2.1 Categorisation Approaches for Identity Management Systems
36(3)
3.2.2 Relevant Technologies
39(2)
3.2.3 Enterprise Identity Management
41(3)
3.2.4 Market Developments for EIdM Solutions and Services
44(2)
3.3 EIdM in Organisations: Questions and Answers
46(10)
3.3.1 Why Do Organisations Introduce EIdM?
46(1)
3.3.2 How Do Organisations Introduce EIdM?
47(1)
3.3.3 What Are the Problems of EIdM Introductions?
48(6)
3.3.4 Who Are the Relevant Stakeholders?
54(2)
3.4 Summary and Conclusion
56(1)
4 Evaluation of EIdM Investments
57(12)
4.1 Ex-ante Evaluation Methods for IT (Security) Investments
58(1)
4.2 Categorisation Approach
58(7)
4.2.1 Primary Effects
62(1)
4.2.2 Secondary Effects
63(2)
4.3 Application of the Categorisation Framework
65(1)
4.4 Evaluation Methods Used in the Practical Field
65(2)
4.5 Summary and Implications
67(2)
5 A Decision Support Model for the Introduction of EIdM Systems
69(34)
5.1 Creation of the EIdM Decision Support Model
69(3)
5.2 Expert Interviews
72(9)
5.2.1 Interviewed Subjects/Subject Demographics
74(1)
5.2.2 Interview Guideline
75(3)
5.2.3 Data and Analysis
78(3)
5.3 Description of the Derived Explanation Model
81(11)
5.3.1 Derived Theory Constructs and Specific Topical Areas
81(6)
5.3.2 Linking the Constructs: Derivation of the Model
87(5)
5.4 Review of the Model: Survey-Based Expert Review
92(7)
5.4.1 Design of the Review Questionnaire
93(1)
5.4.2 Participants
94(1)
5.4.3 Analysis of Material
94(2)
5.4.4 Results and Implications from the Analysis
96(3)
5.5 Limitations of the Model Derivation
99(1)
5.6 Summary
99(4)
Part III Evaluation of the Artefact
6 Prototype Implementation of an EIdM Decision Support System
103(50)
6.1 Decision Support Systems
104(11)
6.1.1 Foundations of Decision Support Systems
105(1)
6.1.2 Defining Decision Support Systems
106(5)
6.1.3 Generic Structure of Decision Support Systems
111(1)
6.1.4 Intermediate Result: Characteristics of DSS and Implications
112(3)
6.2 Derivation of the EIdM Decision Matrix
115(19)
6.2.1 Setting the Frame: The Balanced Scorecard Approach
116(2)
6.2.2 Proposal for an EIdM Decision Matrix
118(1)
6.2.3 Perspectives of the EIdM Decision Matrix
118(8)
6.2.4 Outputs and Implications of the EIdM Decision Matrix: Possible Application Scenarios
126(2)
6.2.5 Excursus: Complementary Evaluation Processes
128(6)
6.3 Implementation of the DSS Prototype
134(17)
6.3.1 Targeted Usage Cases
134(1)
6.3.2 Requirements and Functionality
135(1)
6.3.3 Setup and Implementation Process
136(1)
6.3.4 Derived KPIs of the DSS Prototype
137(4)
6.3.5 Overview Prototype
141(10)
6.4 Limitations of the Prototype
151(1)
6.5 Summary
151(2)
7 Empirical Evaluation of the Theoretical Model
153(16)
7.1 Description of the Empirical Artefact Evaluation
153(1)
7.2 Research Question of the Evaluation and Hypotheses Development
154(1)
7.3 Evaluation Methodology and Process
155(4)
7.3.1 Interviewed Subjects
156(1)
7.3.2 Data and Analysis
157(2)
7.4 Results of the Artefact Evaluation
159(5)
7.4.1 Enhancement of the Decision-Making Process for EIdM
159(2)
7.4.2 Feasibility and Completeness of the EDSM
161(1)
7.4.3 Other Application Fields of the EDSM
162(1)
7.4.4 Implications
163(1)
7.5 Limitations of the Evaluation
164(1)
7.6 Summary
165(4)
Part IV Conclusion
8 Conclusion and Outlook
169(10)
8.1 Summary
169(4)
8.2 Application of the Design-Science Guidelines
173(3)
8.2.1 Guideline 1: Design as an Artefact
173(1)
8.2.2 Guideline 2: Problem Relevance
173(1)
8.2.3 Guideline 3: Design Evaluation
174(1)
8.2.4 Guideline 4: Research Contribution
174(1)
8.2.5 Guideline 5: Research Rigour
175(1)
8.2.6 Guideline 6: Design as a Search Process
175(1)
8.2.7 Guideline 7: Communication of the Research
175(1)
8.3 Practical Implications
176(1)
8.4 Outlook: Further Research Opportunities
176(3)
Appendices
179(30)
A Papers in the Thesis
181(2)
B Expert Interview Introductory Slides
183(4)
C Details on the Expert Interviews
187(4)
C.1 Interview Subjects
187(1)
C.2 Interview Guideline
187(4)
D Prototype: Derived Key Performance Indicators and Selected Examples
191(14)
D.1 KPI Overview
191(6)
D.2 Account Density Indicator
197(2)
D.3 Business Process Maturity Level
199(1)
D.4 Risk Level Indicator
200(1)
D.5 Business Process Integration Level
201(1)
D.6 EIdM Process Maturity
202(3)
E Details on the Evaluation
205(4)
E.1 Research Questions and Hypotheses
205(1)
E.2 Evaluation Interview Guideline
205(3)
E.3 Interviewed Subjects
208(1)
References 209