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In his research, Martin Kowalczyk empirically investigates the challenges of designing and establishing successful decision support with Business Intelligence and Analytics (BI&A). The results from his work elucidate organizational and individual perspectives of BI&A support in decision processes. The organizational perspective considers the processual aspects of decision making and addresses process phases, roles and their interactions. The individual perspective reflects upon decision making of human individuals including their cognition and behaviors involved in decision making. The support of managerial decision making with BI&A gains increasing priority for many businesses in their desire to achieve better decision outcomes and improved organizational performance. 

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CONTENTS
Foreword = V
Acknowledgements = VII
Contents = IX
List of Figures = XIII
List of Tables = XV
List of Acronyms = XVII
1 Introduction = 1
 1.1 Scientific Relevance and Problem Characterization = 2
 1.2 Research Context and Fundamentals = 3
  1.2.1 Business Intelligence and Analytics = 4
  1.2.2 Decision Processes and Organizational Information Processing = 7
  1.2.3 Decision Making and Individual Information Processing = 8
 1.3 Research Goals and Questions = 9
 1.4 Thesis Structure and Outline = 11
2 Study A : A Structured Literature Review on Business Intelligence and Analytics from a Decision Process Perspective = 15
 2.1 Introduction = 15
 2.2 Decision Support and Decision Processes = 16
  2.2.1 DSS Background and Technological Conceptualization = 17
  2.2.2 Decision Process Background and Research Framework = 17
 2.3 Review Method = 19
  2.3.1 Review Scope = 19
  2.3.2 Search Terms = 20
  2.3.3 Inclusion and Exclusion Criteria = 20
  2.3.4 Data Sources and Search Process = 21
  2.3.5 Data Extraction and Analysis Procedures = 22
 2.4 Results of the Structured Literature Review = 23
  2.4.1 Studies on the General Support of Decision Processes = 23
  2.4.2 Studies on the Specific Effects on Decision Processes = 23
 2.5 Discussion of Results = 27
 2.6 Research Opportunities = 28
 2.7 Conclusion = 29
3 Study B : Big Data and Information Processing in Organizational Decision Processes = 31
 3.1 Introduction = 31
 3.2 Theoretical Background = 32
  3.2.1 Big Data and BI＆A = 32
  3.2.2 Information Processing Theory and Decision Processes = 33
  3.2.3 Data-centric and Organizational Information Processing Mechanisms = 34
 3.3 Research Approach = 35
  3.3.1 Research Design = 35
  3.3.2 Data Collection = 36
  3.3.3 Overview of Cases = 37
  3.3.4 Data Analysis = 40
 3.4 Empirical Results = 41
  3.4.1 Big Data in Different Decision Contexts = 41
  3.4.2 Data-centric and Organizational Information Processing Mechanisms = 42
  3.4.3 Information Processing Mechanisms in Different Decision Contexts = 44
  3.4.4 Dynamics of Information Processing Mechanism Composition = 46
 3.5 Discussion of Results and Conclusion = 49
  3.5.1 Theoretical Implications = 50
  3.5.2 Practical Implications = 51
  3.5.3 Limitations and Directions for Future Research = 52
4 Study C : Perspectives on Collaboration Procedures and Politics during the Support of Decision Processes with Business Intelligence and Analytics = 53
 4.1 Introduction = 53
 4.2 Theoretical Background = 55
  4.2.1 Business Intelligence and Analytics(BI＆A) and Information Quality = 55
  4.2.2 Political Behavior and Procedural Rationality in Decision Processes = 56
  4.2.3 Collaboration Procedures and Ambidexterity in Decision Processes = 57
 4.3 Research Method = 58
  4.3.1 Research Design = 59
  4.3.2 Data Collection = 59
  4.3.3 Case Overview = 60
  4.3.4 Data Analysis = 61
 4.4 Results = 62
  4.4.1 Impact of Political Behavior and Procedural Rationality = 62
  4.4.2 Decision Process Rigor and Agility as Dimensions of Ambidexterity = 65
  4.4.3 Complementarity of Information Quality and Ambidexterity = 67
 4.5 Discussion and Conclusion = 69
  4.5.1 Discussion of Key Findings = 69
  4.5.2 Limitations and Future Research = 70
5 Study D : An Ambidextrous Perspective on Business Intelligence and Analytics Support in Decision Processes = 73
 5.1 Introduction = 73
 5.2 Theoretical Background = 75
  5.2.1 Data-centric Decision Support with Business Intelligence and Analytics = 75
  5.2.2 Conceptions of Decision Making in Management and Cognitive Sciences = 76
  5.2.3 Decision Processes and Challenges for Effective BI＆A Support = 78
  5.2.4 Ambidexterity and Decision Processes = 79
 5.3 Research Method = 80
  5.3.1 Research Design = 81
  5.3.2 Data Collection = 81
  5.3.3 Case Overview = 82
  5.3.4 Data Analysis = 83
 5.4 Results = 84
  5.4.1 Tensions and Tactics = 84
  5.4.2 Ambidexterity in BI＆A-Supported Decision Processes = 92
 5.5 Discussion and Conclusions = 95
  5.5.1 Implications for Research = 95
  5.5.2 Implications for Practice = 97
  5.5.3 Limitations and Future Research Directions = 97
6 Study E : Business Intelligence and Analytics – Decision Quality and Insights on Analytics Specialization and Information Processing Modes = 99
 6.1 Introduction = 99
 6.2 Theoretical Background = 101
  6.2.1 Business Intelligence＆Analytics = 101
  6.2.2 Specialization in BI＆A-Supported Decision Processes = 101
  6.2.3 Heuristic–Systematic Model of Information Processing = 102
 6.3 Research Model and Hypotheses = 104
  6.3.1 BI＆A Characteristics and Decision Makers'''' Information Processing = 104
  6.3.2 Determinants of Information Processing = 106
  6.3.3 Advice Utilization and Determinants of Decision Quality = 107
 6.4 Methodology = 109
  6.4.1 Data Collection and Sample = 109
  6.4.2 Operationalization and Measurement Properties = 110
 6.5 Results = 113
 6.6 Discussion = 114
  6.6.1 Implications for Research = 114
  6.6.2 Implications for Practice = 115
  6.6.3 Limitations and Future Research = 116
7 Conclusion and Summary of Contributions = 117
 7.1 Theoretical Implications = 118
 7.2 Practical Implications = 122
 7.3 Conclusion = 124
References = 127
Appendix = 139