Business Models in the Data Economy: A Case Study from the Business Partner Data Domain
Alexandria (UniSG) (University of St.Gallen)Published 27 February 2013Open access
Boris Otto, Stephan Aier
Citations17
SJR quartileQ1
SJR score3.12
SNIP2.36
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
The ongoing market transformation process indicating a shift from tra- ditional value chains toward value networks—a change which, if it is sustainable, would seriously threaten the business models of well-established data pro- viders, such as Dun & Bradstreet, for example.
Abstract
Data management seems to experience a renaissance today. One particular trend in the so-called data economy has been the emergence of business models based on the provision of high-quality data. In this context, the paper examines business models of business partner data providers. The paper explores as to how and why these business models differ. Based on a study of six cases, the paper identifies three different business model patterns. A resource-based view is taken to explore the details of these patterns. Furthermore, the paper develops a set of propositions that help understand why the different business models evolved and how they may develop in the future. Finally, the paper discusses the ongoing market transformation process indicating a shift from traditional value chains toward value networks - a change which, if it is sustainable, would seriously threaten the business models of well-established data providers, such as Dun & Bradstreet, for example.
Keywords
Business, Management and Accounting
Case Study Research: Design and Methods
74,912 Citations1984Robert K. Yin
Advances in strategic managementFirm resources and sustained competitive advantage
38,481 Citations2004Jay B. Barney
Academy of Management ReviewBuilding Theories from Case Study Research
23,160 Citations1989Kathleen M. Eisenhardt
Competitive Strategy: Techniques for Analyzing Industries and Competitors
16,836 Citations1980Michael E. Porter
Business Model Generation : A Handbook for Visionaries, Game Changers, and Challengers
6,949 Citations2010Alexander Osterwalder, Yves Pigneur
MIS QuarterlyThe Case Research Strategy in Studies of Information Systems
4,704 Citations1987Izak Benbasat, David K. Goldstein +1 more
Criteria for the evaluation of case research are established and several characteristics useful for categorizing the studies are identified and examples of research areas that are particularly well-suited to investigation using the case research approach are concluded.
Journal of Management Information SystemsBeyond Accuracy: What Data Quality Means to Data Consumers
4,330 Citations1996Richard Y. Wang, Diane M. Strong
Using this framework, IS managers were able to better understand and meet their data consumers' data quality needs and this research provides a basis for future studies that measure data quality along the dimensions of this framework.
Long Range PlanningBusiness Model Design: An Activity System Perspective
3,062 Citations2009Christoph Zott, Raphael Amit
This work conceptualizes a firm's business model as a system of interdependent activities that transcends the focal firm and spans its boundaries and suggests two sets of parameters that activity systems designers need to consider: design elements and design themes that describe the architecture of an activity system.
Belarusian State Pedagogical University repository (Belarusian State Pedagogical University)Business Model Generation
2,595 Citations2010Alexander Osterwalder, Yves Pigneur
This may be the first book on business models written for the general public and relies on the more technical work that Osterwalder did in his doctoral dissertation in 2004, submitted under Pigneur, and that both researchers have since conducted individually and jointly.
Communications of the ACMCrowdsourcing systems on the World-Wide Web
1,349 Citations2011AnHai Doan, Raghu Ramakrishnan +1 more
European Journal of Information SystemsThe business model concept: theoretical underpinnings and empirical illustrations
911 Citations2003Jonas Hedman, Thomas Kalling
This paper offers an outline for a conceptual business model and proposes that it should include customers and competitors, the offering, activities and organisation, resources and factor market interactions, and the causal inter-relations and the longitudinal processes by which business models evolve should also be included.
Communications of the ACMA product perspective on total data quality management
898 Citations1998Richard Y. Wang
The purpose of this TDQM methodology is to deliver highquality information products (IP) to information consumers and aims to facilitate the implementation of an organization’s overall data quality policy formally expressed by top management.
MIT Sloan management reviewInnovation by User Communities: Learning From Open-Source Software
617 Citations2001Eric von Hippel
The ability of user communities to develop and sustain exceedingly complex products without any manufacturer involvement is remarkable, according to von Hippel, who identifies the conditions that favor user innovation and explores how circumstances evolve.
Journal of Evolutionary EconomicsData, information and knowledge: have we got it right?
260 Citations2004Max Boisot, Agustí Canals
It is argued that the difference between data, information, and knowledge is in fact crucial and information theory and the physics of information provide useful insights with which to build an economics of information appropriate to the needs of the emerging information economy.
MIT Sloan management reviewToward an innovation sourcing strategy
220 Citations2003Jane C. Linder, Sirkka L. Järvenpää +1 more
Data quality requirements analysis and modeling
206 Citations2002R.Y. Wang, H. Kon +1 more
A set or premises, terms, and definitions for data quality management are established, and a step-by-step methodology for defining and documenting data quality parameters important to users is developed, demonstrating that data quality can be an integral part of the database design process.
MIS QuarterlyManaging The Data Resource: A Contingency Perspective
181 Citations1988Dale L. Goodhue, Judith A. Quillard +1 more
There is no single, dominant approach to improving the management of data, and firms have adopted multiple approaches that appear to be very diverse in business objective, organizational scope, planning method, and "product," i.e., deliverable produced.
Strategic Management JournalMinding the Competition: From Mapping to Mastery
163 Citations1994Ari Ginsberg
ACM SIGMIS Database the DATABASE for Advances in Information SystemsUtility-driven assessment of data quality
138 Citations2007Adir Even, G. Shankaranarayanan
This study argues for the need to revise data quality metrics and measurement techniques to incorporate and better reflect contextual assessment, and develops new metrics for assessing data quality along commonly used dimensions - completeness, validity, accuracy, and currency.
Business Strategy ReviewStrategy Tradeoffs in the Knowledge and Network Economy
69 Citations2001Øystein D. Fjeldstad, Knut Haanœs
Journal of Information ScienceStudies on Information as an Asset I: Definitions
61 Citations2003Charles Oppenheim, Joan Stenson +1 more
The development of a definition information assets within the information science accounting field is described and a of information as an asset is proposed and situated the information resources management (IRM) and asset tradition.
SSRN Electronic JournalA Framework for Corporate Householding
18 Citations2003Stuart Madnick, Richard Y. Wang +1 more
This paper improves the understanding of the area by developing a typology of corporate householding tasks and knowledge requirements and proposes an approach to handle these tasks using Communities of Practice (COP) for knowledge acquisition and extensions to the COntext INterchange (COIN) technology for knowledge storage and knowledge processing.