Implementing discrete mathematics: combinatorics and graph theory with Mathematica
Implementing discrete mathematics: combinatorics and graph theory with Mathematica
Communications of the ACM
Composition of executable business process models by combining business rules and process flows
Expert Systems with Applications: An International Journal
An application of rule-based tool in attributive logic for business rules modeling
Expert Systems with Applications: An International Journal
Mining marketing maps for business alliances
Expert Systems with Applications: An International Journal
An ontology-based business intelligence application in a financial knowledge management system
Expert Systems with Applications: An International Journal
Analyzing supply chain operation models with the PC-algorithm and the neural network
Expert Systems with Applications: An International Journal
A two-stage analysis of the influences of employee alignment on effecting business-IT alignment
Decision Support Systems
| Hi-index | 12.05 |
Traditional hypothesis-driven research domains such as molecular biology are undergoing paradigm shift in becoming progressively data-driven, enabling rapid acquisition of new knowledge. The purpose of this article is to promote an analogous development in business research. Specifically, we focus on network analysis: given the key constructs in a business research domain, we introduce a data-driven protocol applicable to business survey data to (a) discover the web of influence directionalities among the key constructs and therein identify the critical constructs, and to (b) determine the relative contributions of the constructs in predicting the levels of the critical constructs. In (a), we build a directed connectivity graph by (i) using a state of the art statistical technique to perform variable selection, (ii) integrating the variable selection results to form the directed connectivity graph, and (iii) employing graph-theoretical concepts and a graph clustering technique to interpret the resulting network topology in a multi-resolution manner. In (b), based on the directed connectivity graph, multiple linear regression is performed to quantify relations between the critical and other constructs. As a case study, the protocol is applied to analyze opinion leading and seeking behaviors in online market communications environments. The directed connectivity relations revealed provide new ways of visualizing the web of influence directionalities among the constructs of interest, suggest new research directions to pursue, and aid decision making in marketing management. The proposed method provides a data-driven alternative to traditional confirmatory methods in analyzing relations among given constructs. Its flexibility enables the business researcher to broaden the scope of research he/she can fruitfully engage in.