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

Muhammad Muazzem Hossain and Victor R. Prybutok

International Journal of Business Performance Management, 2016, vol. 17, issue 2, 161-183

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. (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbpma:v:17:y:2016:i:2:p:161-183

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