SMEs’ Wealth Creation Model of an Emerging Economy

Asikhia, Olalekan

doi:10.17015/ejbe.2016.017.08

Cited by 3 publications

(3 citation statements)

References 77 publications

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“…This is a quantitative study of survey research design to elicit reliable information and generate numeric data on the variables of the study because it produces data based on real-world observations apart from its breadth of coverage and ability to produce a representative sample whose responses can be generalised to the whole population (Asikhia, 2016). The internal validity of the research design was premised on temporal precedence and co-variation of the cause and effects of the variables while the external validity was done through the sampling model; by ensuring that the sample was a good representative of the population, in addition to been validated by SMEs scholars and practitioners.This study was conducted with full compliance to research ethics, norms, and specifically, the codes of practice established by University of KwaZulu Natal Research Ethics Committee.…”

Section: Methodsmentioning

confidence: 99%

“…It minimises errors and bias in sample size determination as against determination through the rule of thumb. An adequate sample size of 760 was arrived at, at 3.50 margin of error and 95% confidence level, however 45% of it was added to make room for non-response rate typical of the SMEs researches in Nigeria (Asikhia, 2016;Eniola and Ektebang, 2015;Muritala et al, 2012;Olughor, 2015).…”

Section: Sample Size Determinationmentioning

confidence: 99%

See 1 more Smart Citation

SMEs Management Success Determinants and its Implications on Their Performance in South West, Nigeria

Asikhia¹,

Naidoo²

2020

IJEBA

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Section: Methodsmentioning

confidence: 99%

Section: Sample Size Determinationmentioning

confidence: 99%

SMEs Management Success Determinants and its Implications on Their Performance in South West, Nigeria

Asikhia¹,

Naidoo²

2020

IJEBA

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“…In relation to SMEs in the Middle East context, Jalali et al (2020) and Leitner (2011) found a positive interaction effect of customer capital on the relationship between innovativeness, proactiveness and performance. This result, however, is inconclusive with regard to wealth creation of SMEs, because different ties have different effects on this type of relationship (Jalali et al , 2014; Asikhia, 2016).…”

Section: Introductionmentioning

confidence: 99%

Indirect effect of extra-industry network and innovativeness on performance through proactiveness

Jalali

Abhari²,

Jaafar³

2022

JFM

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Purpose The current study aims to advance the research on the extra-industry network, innovativeness and performance of small and medium enterprises (SMEs) by examining the mediation role of proactiveness. The study also aims to examine the mediating role innovativeness between extra-industry network and performance. Design/methodology/approach This study used the proportionate stratified random sampling method to select the study sample and the questionnaire survey approach to 580 SMEs. A total of 150 completed questionnaires were returned. Partial least squares structural equation modeling was administered to analyze data via Smart PLS 3.0 software. Findings The results reflect that proactiveness is mediated by the relationship between the extra-industry network and the performance of Iranian SMEs. In addition, the results illustrated that proactiveness is mediated by the relationship between innovativeness and the performance. The findings also address the limitation of previous studies on Iranian SMEs through the independent examination of the mediating role of innovativeness between firm extra-industry network and performance. Originality/value This article is one of few attempts that have addressed the significance of proactiveness as the key mechanism to transform the advantages of extra-industry network and innovativeness relationships to enhance performance.

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The Penalty Production Model – An Alternative Working Capital Solution for Reverse Supply Chains

Nicolae¹

2018

EJBM

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The working capital issue increased lately for small and medium-sized companies which strived to behold their position on the competitive market in the long term. A shift in competition from firm versus firm to supply chain versus supply chain increased the role that every member of the supply chain had in its long-run development or failure. This paper presents an alternative working capital production model which collects its working capital needs by using an auto-financing method in the sorting stage of the recycling process for reverse supply chains. The penalty system was designed by the author (as part of the operative drift for one of the largest Norwegian recycling companies) as an aggregation of penalty types and their respective amounts for each category that a load can comprise at the entrance in the manufacturing area. Results generated by the new production system highlighted the fact that working capital could be obtained by autofinancing mechanisms, and that the total income could be higher than the value based on a fixedfee penalty system (the complex model doubled previous income already one year after new system was implemented), achieving in the same time better waste control between original waste declaration and handled waste resulted after the sorting process. Moreover, the sorting facility decreased its own production costs (since extra working capital was generated by applying the auto-financing mechanism), and obtained better control for every fraction processed at the plant (dangerous waste presented in this study) between invoiced volumes and quantities shipped forward in the reverse supply chain.

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SMEs’ Wealth Creation Model of an Emerging Economy

Abstract: Abstract

Cited by 3 publications

References 77 publications

SMEs Management Success Determinants and its Implications on Their Performance in South West, Nigeria

SMEs Management Success Determinants and its Implications on Their Performance in South West, Nigeria

Indirect effect of extra-industry network and innovativeness on performance through proactiveness

The Penalty Production Model – An Alternative Working Capital Solution for Reverse Supply Chains

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