Title: Towards developing a business performance management model using causal latent semantic analysis

Authors: Muhammad Muazzem Hossain; Victor R. Prybutok

Addresses: Department of Decision Sciences and Supply Chain Management, School of Business, MacEwan University, 10700 – 104 Avenue, Edmonton, Alberta T5J 4S2, Canada ' Information Technology and Decision Sciences Department, College of Business, University of North Texas, 1155 Union Circle – 305459 Denton, Texas 76203, USA

Abstract: Business performance management (BPM) helps organisations achieve improved effectiveness and competitiveness by bridging the gap between strategy and execution. Though several industry-specific practitioner BPM frameworks exist, there is little research in the academia on BPM. This study fills this void by developing and testing a generic BPM model using causal latent semantic analysis on textual data obtained from both practitioner and academic sources. The BPM model developed in this study provides a structure for enhancing responsiveness and flexibility because it embodies the process of managing an organisation's strategy. Since the BPM process embodies a closed-loop process with the objective of continuously adjusting business strategies, it helps organisations to enhance their agility. Therefore, with the implementation of the BPM framework, organisations can quickly adapt to changes. This study posits that the proposed BPM model will help managers create an agile organisation that is capable of developing and increasing competitive advantage.

Keywords: business performance management; BPM; causal LSA; latent semantic analysis; cLSA; business results; business strategy; competitive advantage; enterprise performance management; EPM; agility; innovation; business intelligence; responsiveness; flexibility; agile organisations.

DOI: 10.1504/IJBPM.2016.075537

International Journal of Business Performance Management, 2016 Vol.17 No.2, pp.161 - 183

Received: 22 Feb 2014
Accepted: 26 Feb 2015
Published online: 28 Mar 2016 *

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