Paper Info
Title
Inter-organizational success factors: a cause and effect model.
Abstract
Inter-organizational systems form the basis for successful business collaboration in the Internet and B2B e-commerce era. To properly design and manage such systems one needs to understand the structure and dynamics of the relationships between organizations. The evaluation of such inter-organizational relationships (IORs) is normally conducted using “success factors”. These are often referred to as constructs, such as trust and information sharing. In strategic management and performance analysis, different methods are employed for evaluating business performance and strategies, such as the Balanced Scorecard (BSC) method. The BSC utilizes success factors for measuring and monitoring IORs against business strategies. For these reasons, a thorough understanding of success factors, the relationships between them, as well as their relationship to business strategies is required. In other words, understanding success factors allows strategists deriving measurements for success factors as well as aligning these success factors with business strategies. This underpins nowadays close relationship between business strategy, IORs and their realization by means of inter-organizational systems. In this paper, we present (1) a systematic literature review studying success factors and their impact on IORs as well as (2) an analysis of the results found. The review is based on 177 publications, published between 2000 and 2012, dealing with factors influencing IORs. The work presented provides an overview on success factors, influencing relationships between success factors, as well as their influence on the success of IORs. The work is somehow “meta-empirical” as it only looks at published studies and not on own cases. Consequently, it is based on the assumption that studies in scientific literature represent the real-world. The constructs and relationships found in the review are grouped based on their scope and summarized in a cause and effect model. The grouping of constructs results in five groups including Relationship Orientation, Relational Norm, Relational Capital, Atmosphere, and Others. Since the cause and effect model represents a directed graph, different network analysis methods may be applied for analyzing the model. In particular, an in- and out-degree analysis is applied on the cause and effect model for detecting the most influencing as well as the most influenced success factors.
Year
DOI
Venue
2015
10.1007/s10257-014-0258-z
Information Systems and e-Business Management
Keywords
Field
DocType
Inter-organizational information systems, Inter-organizational relationships, Inter-organizational success factors, Influencing relationships, Inter-organizational success
Scientific literature,Relational capital,Systematic review,Computer science,Norm (social),Knowledge management,Balanced scorecard,Strategic management,Information sharing,The Internet
Journal
Volume
Issue
ISSN
13
3
1617-9854
Citations 
PageRank 
References 
6
0.69
15
Authors
7
Name
Order
Citations
PageRank
Worarat Krathu1215.69
Christian Pichler26713.20
Guohui Xiao348636.56
Hannes Werthner482380.37
Julia Neidhardt511017.45
Marco Zapletal613515.00
Christian Huemer735371.56