Abstract: This study examined the relationship between business model innovation and the performance of multi-sector enterprises, with specific focus on selected service marketing companies in the Federal Capital Territory (FCT), Abuja, Nigeria. The study was driven by the growing need for firms to adapt to rapidly changing markets through innovative approaches to value creation, service delivery, customer engagement, and revenue generation. The research adopted a cross-sectional survey design and collected primary data from 102 managerial employees across six selected service marketing companies, chosen based on their operational diversity and strategic market presence. Key variables of business model innovation—value creation process redesign, technology-driven delivery, and customer re-engagement—were assessed in relation to enterprise performance indicators, namely customer retention, market adaptability, and revenue diversification. Data were analysed using Pearson Product Moment Correlation with the aid of SPSS v23. Findings revealed significant and positive relationships among all the studied variables, indicating that business model innovation strategies play a critical role in enhancing the performance of multi-sector enterprises. Specifically, value creation process redesign was strongly associated with customer retention, technology-driven delivery with market adaptability, and customer re-engagement with revenue diversification. The study concludes that embracing business model innovation is essential for service marketing firms seeking to remain competitive and sustainable in dynamic markets. It recommends that firms invest in redesigning their business processes, adopt digital tools for service delivery, and develop strategic customer re-engagement mechanisms.

Keywords: Business Model Innovation, Performance, Value creation, Process design, Customers engagement.

Title: Business Model Innovation and the Performance of Multi-Sector Enterprises: A Study of Selected Service Marketing Companies in FCT-Abuja

Author: Dare Daniel Joseph, Juliet Ede Ngozi

International Journal of Novel Research in Marketing Management and Economics

ISSN 2394-7322

Vol. 13, Issue 1, January 2026 - April 2026

Page No: 11-20

Novelty Journals

Website: www.noveltyjournals.com

Published Date: 23-February-2026

Abstract: The research compared the predictive accuracy of Altman Z Score, Taffler Z Score and Zmijewski X Score bankruptcy analysis models in relation to a listed Zimbabwe Stock Exchange listed extractive sector firm from 2011 to 2022. The objective was to determine the most accurate models in predicting corporate distress within Zimbabwe’s volatile economic environment. The study employs a quantitative methodology analysing secondary data from the published annual audited reports as well as independent external auditor reports for two periods: USD denominated reporting (2011 to 2018) and ZWL denominated reporting (2019 to 2022) following the introduction of statutory instrument 33 of 2019. The Zmijewski X Score achieved greater predictive accuracy of 91.67% thus correctly identifying 11 of 12 sample years with zero Type 1 error with 8.33% Type 11 errors. The Altman and Taffler models achieved 83.33% accuracy, correctly predicting 10 out of 12 sample with Type 11 error at 16.67%. Cross validation with External independent auditor report confirms the firm in financial distress from 2010 to 2018, and in 2021 to 2022. The firm was solvent in 2019 and 2020 of which only the Zmijewski X Score accurately predicted. The findings thus demonstrate superiority of the Zmijewski model which implies a credible tool for investors and creditors in making decisions in relation to monitoring and capital allocation. Therefore, there is need to adopt multiple models in the analysis to mitigate the limitations of using one model. In relation to the agency theory, the adoption of an accurate predictive model reduces information asymmetry thus enhancing oversight efficiency and curbing managerial optimism. This will provide a reliable indicator of the agent’s financial stewardship.

Keywords: Bankruptcy prediction, Altman Z Score, Taffler Z Score, Zmijewski X Score, Agency theory.

Title: Comparative analysis of bankruptcy risk using Altman, Taffler, and Zmijewski models of a selected Zimbabwe Stock Exchange listed extractive sector firm

Author: Kudakwashe MAVENGERE

International Journal of Novel Research in Marketing Management and Economics

ISSN 2394-7322

Vol. 13, Issue 1, January 2026 - April 2026

Page No: 1-10

Novelty Journals

Website: www.noveltyjournals.com

Published Date: 04-February-2026