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<title>School of Business and Economics</title>
<link>http://ir.mu.ac.ke:8080/jspui/handle/123456789/62</link>
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<pubDate>Sun, 30 Aug 2026 03:57:52 GMT</pubDate>
<dc:date>2026-08-30T03:57:52Z</dc:date>
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<title>Unlocking sales potential: the influence of technology self-efficacy and lead qualification skills on adaptive selling behavior of salespersons in Uganda’s insurance firms</title>
<link>http://ir.mu.ac.ke:8080/jspui/handle/123456789/10477</link>
<description>Unlocking sales potential: the influence of technology self-efficacy and lead qualification skills on adaptive selling behavior of salespersons in Uganda’s insurance firms
Mwesige, Richard; Kabasinguzi, Brendaa; Bonuke, Ronald; Situma, Claire
In the competitive landscape of the Ugandan insurance industry, salespersons’ effectiveness in adapting strategies to meet customer needs is crucial. This study explores the moderating role of Technology Self-Efficacy (TSE) in the link between salesperson Lead-Qualification Skills (LQS) and Adaptive Selling Behaviour (ASB). This was a cross-sectional quantitative study involving structured questionnaires distributed to 364 licensed salespersons across various insurance firms in Uganda. Data were analyzed through correlation and regression analyses, employing the Hayes Process Macro to assess moderation effects. The results showed that both the LQS and TSE had a strong positive association with ASB. Multiple regression analysis indicated that both the LQS and TSE significantly relate to ASB. TSE was found to moderate the relationship between LQS and ASB, enhancing salespersons’ effectiveness in adapting their strategies. This study advances our knowledge of adaptive selling within the Ugandan insurance sector by emphasizing the significance of the LQS and the TSE. It advocates that insurance firms invest in training programs that develop these competencies, ultimately improving salespersons’ ASB in a rapidly evolving marketplace.
</description>
<pubDate>Mon, 01 Sep 2025 00:00:00 GMT</pubDate>
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<dc:date>2025-09-01T00:00:00Z</dc:date>
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<title>Dynamic capabilities, organizational resilienceand firm poerformance of manufacturing firms in Nairobi, Kenya</title>
<link>http://ir.mu.ac.ke:8080/jspui/handle/123456789/10474</link>
<description>Dynamic capabilities, organizational resilienceand firm poerformance of manufacturing firms in Nairobi, Kenya
Kisale, Flora; Kemboi, Ambrose; Bonuke, Ronald
Scholars have long observed that manufacturing firms in Kenya operate in highly competitive environments characterized by limited performance variability, prompting many firms to adopt various survival strategies. Increasingly, the literature highlights dynamic capabilities as critical for sustaining firm performance within the manufacturing sector. However, existing empirical studies on dynamic capabilities have been conducted across diverse industries and methodological contexts, yielding mixed and inconclusive findings. This study sought to examine the moderating effect of organizational resilience on the relationship between dynamic capabilities and firm performance among manufacturing firms in Nairobi County. The study was grounded in Dynamic Capability Theory and the Resource-Based View (RBV). Adopting a quantitative paradigm and an explanatory research design, the study targeted 6,038 manufacturing firms, from which a sample of 375 firms was selected. Primary data were collected using structured questionnaires and analyzed using both descriptive and inferential statistics. Multiple regression and hierarchical regression analyses were employed to test the direct and moderating effects. Key findings revealed that dynamic capabilities (β = .744, p &lt; .001) and organizational resilience (β = .418, p &lt; .001) have significant positive effects on firm performance among manufacturing firms. In addition, organizational resilience positively moderates the relationship between dynamic capabilities and performance (β = .184, p &lt; .05), indicating that firms with higher adaptability and agility gain greater performance benefits from their capabilities. The study concludes that the joint development of dynamic capabilities and organizational resilience is essential for sustained competitiveness. It recommends that manufacturing firms prioritize capability enhancement, resilience-building mechanisms, and continuous technology and skills investment to improve long-term performance.
</description>
<pubDate>Sun, 01 Feb 2026 00:00:00 GMT</pubDate>
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<dc:date>2026-02-01T00:00:00Z</dc:date>
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<item>
<title>Moderating Effect of Tax audit probability on the causality between taxpaying attitudes and tax compliance behavior in restaurant of Uasin Gishu County (Kenya)</title>
<link>http://ir.mu.ac.ke:8080/jspui/handle/123456789/10459</link>
<description>Moderating Effect of Tax audit probability on the causality between taxpaying attitudes and tax compliance behavior in restaurant of Uasin Gishu County (Kenya)
Kimitei, Edwin; Kiprono, Eric; Sang, Jane
We  investigated  the  moderating  influence  of  audit  probability  on  the  effect  of taxpaying attitudes on tax compliance behaviour in restaurants in Kenya. Four linear regression models were compared. Estimations in the models suggest that taxpayers’ attitudesand audit probability have significant effects on the tax compliance of the restaurants, but the influence of  external  audit  probability  is  more  significant.  Estimations  in  model  where  taxpaying attitudes without the moderating influence of audit probability exerted a significant effect on tax  compliance  by  22%,  while  taxpaying  attitudes  with  the  moderating  influence  of  audit probability  exerted  27%.  Taxpaying  attitudes  with  the  moderating  influence  of  the  external audit  probability  dimension  hada  more  significant  contribution  to  the  changes  in  tax compliance.  The  findings  demonstrated  that  if  taxpayers’  attitudes  improved  and  audit probability  was  leveraged  by  the  tax  authorities,  tax  compliance  behaviour  of  restaurants would be improved for restaurant owners in Kenya.
</description>
<pubDate>Mon, 01 Apr 2024 00:00:00 GMT</pubDate>
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<dc:date>2024-04-01T00:00:00Z</dc:date>
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<item>
<title>Effects of learning capabilities on supply chain performance of manufacturing firms In Nairobi, Kenya</title>
<link>http://ir.mu.ac.ke:8080/jspui/handle/123456789/10458</link>
<description>Effects of learning capabilities on supply chain performance of manufacturing firms In Nairobi, Kenya
Gituiya, Ann; Kimitei, Edwin; Limo, Patrick
The main purpose of the study was establish the effects of learning capabilities on supply chain performance of&#13;
manufacturing firms in Nairobi, Kenya. The study was guided by Resource Based View Theory. The study adopted&#13;
explanatory research design. The study targeted a population of 750 registered manufacturing firms in Nairobi.&#13;
The sample size is of the study was 261 procurement managers. The study used questionnaire as the main data&#13;
collection instruments to collect primary data. Quantitative data collected using the questionnaires for all the&#13;
objectives were analysed using descriptive statistics that is frequency, percentages, mean and standard deviation.&#13;
Frequency tables were used to present the findings in relation to the objectives of the study. The inferential&#13;
statistics used in this study were correlation and regression models. The study findings indicated that learning&#13;
capabilities and supply chain performance of manufacturing firms had a positive strong and statistically&#13;
significant correlation (r= 0.743; p&lt;0.05). This implies that information sharing within departments enhances&#13;
supply chain performance. The study concluded that leveraging learning capabilities, manufacturing firms can&#13;
adapt to evolving market dynamics, anticipate changes in customer demands, and optimize their supply chain&#13;
operations to achieve sustainable competitive advantage in the dynamic business landscape. The study&#13;
recommends that manufacturing firms should ensure there exist proper company policy for sharing information&#13;
within the company
</description>
<pubDate>Tue, 01 Oct 2024 00:00:00 GMT</pubDate>
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<dc:date>2024-10-01T00:00:00Z</dc:date>
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