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Full-Text Articles in Management Information Systems
Determinants Of Vendor Profitability In Two Contractual Regimes: An Empirical Analysis Of Enterprise Resource Planning Projects, Stefan Hoermann, Tobias Hlavka, Michael Schermann, Helmut Krcmar
Determinants Of Vendor Profitability In Two Contractual Regimes: An Empirical Analysis Of Enterprise Resource Planning Projects, Stefan Hoermann, Tobias Hlavka, Michael Schermann, Helmut Krcmar
Michael Schermann
In this paper, we investigate the effects of four determinants of vendor profitability in enterprise resource planning (ERP) outsourcing projects under two contractual regimes: fixed price (FP) contracts and time and material (TM) contracts. We hypothesize that effect sizes are larger under FP contracts than under TM contracts. From a transaction cost economics perspective, we hypothesize that project uncertainty and project size are negatively associated with vendor profitability. From a knowledge-based view of the firm perspective, we hypothesize that industry knowledge and client knowledge are positively associated with vendor profitability. We tested these hypotheses on a comprehensive archival data set …
Using The Default Option Bias To Influence Decision-Making While Driving, Klaus Goffart, Michael Schermann, Christopher Kohl, Jörg Preißinger, Helmut Krcmar
Using The Default Option Bias To Influence Decision-Making While Driving, Klaus Goffart, Michael Schermann, Christopher Kohl, Jörg Preißinger, Helmut Krcmar
Michael Schermann
Gaining a better understanding of human–computer interaction in multiple-goal environments, such as driving, is critical as people increasingly use information technology to accomplish multiple tasks simultaneously. Extensive research shows that decision biases can be utilized as effective cues to guide user interaction in single-goal environments. This article is a first step toward understanding the effect of decision biases in multiple-goal environments. This study analyzed data from a field experiment during which a comparison was made between drivers’ decisions on parking lots in a single-goal environment and drivers’ decisions in a multiple-goal environment when being exposed to the default option bias. …
Consolidating Findings From Business Process Change Case Studies Using System Dynamics: The Example Of Employee Morale, Zuzana Kristekova, Marlen Christin Jurisch, Michael Schermann, Helmut Krcmar
Consolidating Findings From Business Process Change Case Studies Using System Dynamics: The Example Of Employee Morale, Zuzana Kristekova, Marlen Christin Jurisch, Michael Schermann, Helmut Krcmar
Michael Schermann
In this paper, we explore system dynamics as a useful approach to consolidate findings from case studies on business process change (BPC) projects. We compile data from 65 BPC case studies to develop a system dynamics simulation model that helps us to investigate ‘employee morale’ as an important construct in BPC projects. We show that such simulation models consolidate the complex and often non-linear findings from BPC case studies in a way that makes it available to discourse among researchers, lecturers and students as well as BPC professionals. Thus, this paper contributes to knowledge management and learning by suggesting system …
Innovationspotentialanalyse Für Die Neuen Technologien Für Das Verwalten Und Analysieren Von Großen Datenmengen (Big Data Management), Volker Markl, Alexander Löser, Thomas Hoeren, Helmut Krcmar, Holmer Hemsen, Michael Schermann, Matthias Gottlieb, Christoph Buchmüller, Philip Uecker, Till Bitter
Innovationspotentialanalyse Für Die Neuen Technologien Für Das Verwalten Und Analysieren Von Großen Datenmengen (Big Data Management), Volker Markl, Alexander Löser, Thomas Hoeren, Helmut Krcmar, Holmer Hemsen, Michael Schermann, Matthias Gottlieb, Christoph Buchmüller, Philip Uecker, Till Bitter
Michael Schermann
Die vorliegende Studie wurde durch einen Auftrag des BMWi zum Thema „Innovationspotentialanalyse für die neuen Technologien für das Verwalten und Analysieren von großen Datenmengen (Big Data Management)“ ermöglicht. Für das in uns gesetzte Vertrauen und die finanzielle Unterstützung möchten wir uns daher beim BMWi bedanken. Zudem möchten wir Frau Dr. Regine Gernert (Projektträger DLR) ganz herzlich Dank sagen für die fachliche und organisatorische Begleitung der Studie. Wir bedanken uns zudem bei den zahlreichen Mitarbeitern der jeweiligen Institute, die durch kritische Durchsicht der Studie und Kommentare dazu beigetragen haben die Studie zu verbessern. Für die Umsetzung des finalen Layout der Studie …