Applicability of theory of constraint in predicting Ghanaian SMEs investment decisions

Appiah, Michael Karikari; Possumah, Bayu Taufiq; Ahmat, Nizam; Sanusi, Nur Azura

doi:10.14254/2071-8330.2018/11-2/14

Cited by 10 publications

(12 citation statements)

References 37 publications

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“…As previously reported (Soderlund & Ohman, 2003;Clark-Murphy & Soutar, 2008;K. M. Appiah et al, 2018a;Appiah et al, 2018bAppiah et al, , 2018cMK. Appiah et al, 2021) investment intentions of firms are severally determined.…”

Section: Investment Intentionsupporting

confidence: 82%

“…Appiah et al, 2021) Ghana being a low middle income country has huge potentials to transform and grow its economy through industrialization, innovation, job creation and ultimately ensuring equitable distribution of wealth. The 2013 local content regulation was formulated with the fundamental aim of optimizing locally produced materials, personnel, goods and services as well as financing, which are enshrined in the petroleum industry value chain and can best be measured in monetary terms (K. M. Appiah et al, 2018a;Appiah et al, 2018b). The petroleum sub sector policy directions are intended to guide the development and management of the emerging oil and gas sector as enabler of oil and gas sector for socio-economic transformation.…”

Section: Introductionmentioning

confidence: 99%

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Identifying and prioritizing factors of the formation of investment strategy in the Ghana’s downstream oil and gas industry

Appiah

Possumah

Sanusi

2021

Cogent Business & Management

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We present a new model to identify and prioritize factors affecting small and medium enterprises (SMEs) investment intentions by integrating existing models. Structured questionnaire is used to sample respondents from the Ghanaian SMEs between 2017 and 2018. Data analyses have been conducted using variancebased Smart Partial Least Square (SmartPLS) technique. The major findings of the study are that macro environment factors, resource competitive strategies and oil and gas policy-specific factors are the significant determinants of SMEs investment intentions. Again, the study revealed that the resource competitive strategies significantly mediate the relationship between macro environment factors, industry force, oil and gas policy support and investment intentions. These results are robust ABOUT THE AUTHORS

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Section: Investment Intentionsupporting

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Identifying and prioritizing factors of the formation of investment strategy in the Ghana’s downstream oil and gas industry

Appiah

Possumah

Sanusi

2021

Cogent Business & Management

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“…In this context, it should be stressed that the company's internal potential is most strongly influenced by the potential and commitment of its employees that can be directly influenced by the individual activities of human resources management (Stachová et al, 2019). This is becoming even more critical in small and medium enterprises (SMEs) as they play a vital role in job creation (Koisova et al, 2017;Appiah et al, 2018) and are recognized as one of the main contributors to economic, development and employment growth (Cepel et al, 2018;Kljucnikov et al, 2016;Mura, 2019). Extensive and unregulated use of cybervetting by SMEs can reduce their credibility in potential employees' eyes, which could have, given the important position of SMEs, enormous consequences even though the Czech and Slovak economy still focuses on cheap labour which is not so sensitive about privacy.…”

Section: Discussionmentioning

confidence: 99%

Cybervetting prospective employees of SMEs

Rózsa¹,

Kmecová²

2020

Journal of International Studies

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Cybervetting has become an integral part of HR practices, even though it is generally perceived negatively, as an invasion into employees' privacy. In response, scholars have begun investigations of the ways social networks impact HRM in organizations. In this paper, we present and discuss the results of our exploration into whether SMEs will be screening job applicants. We have used binary logistic regression to build the model based on the predictors: company's size, HR formality score, company's age and turnover. The units of the analysis in this study are SMEs operating in Czech and Slovak Republics. Random sample technique was applied to select 665 respondents. The resulting model contained only Formality Score (FS) as a predictor with the association to SCR. We can claim that inclination to social networks' screening in SMEs decreases as FS rises. The study also reveals that social networks screening is widely spread among SMEs in both countries under study. The study extends the research on networks' screening and expands the knowledge about how SMEs are replacing formalised HR practices. Finally, it offers recommendations for future work that can enhance knowledge in social networks' impact on SMEs.

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“…Avalanches of previous studies (Kazimoto, 2014;Farsi & Toghraee, 2014;Bouazza, Ardjouman & Abada, 2015) reported mixed results between SMEs internal characteristics and investment decisions. Although whopping majority of the previous studies (Bouazza, Ardjouman & Abada, 2015;Quartey, Turkson, Abor & Iddrisu, 2017;Appiah, Possumah, Ahmat, & Sanusi, 2018a, 2018b reported positive and significant association between internal firm factors and investment decisions, negative and insignificant results had also been moderately reported (Khaled, 2012;Ayyagari, Demirgüç-Kunt & Maksimovic, 2011;. The reasons accounting for variations in the previous results can be attributed to: (1) different methods, different SMEs internal variables and different measures of investment decisions used in them.…”

Section: Introductionmentioning

confidence: 91%

Small and medium enterprise’s internal resources and investment decisions in Ghana: The resource-based approach

Appiah

Possumah

Ahmat

et al. 2019

Economics &Amp; Sociology

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We report new evidence on Small and Medium Enterprises' (SMEs') internal resources, i.e investment capital, business stability, customer size, type of ownership, legal status, industrial structure and location on investment decisions in the Ghanaian oil and gas sector between 2016 and 2017. Overall, we find that SMEs of larger business size, with large investment capital, large fixed assets, more business stability, structured business ownership, large customer size, registered status, operations in urban locations and reinvested annual profits-are more likely to invest in Ghanaian oil and gas sector. Per contra, the results reveal that industrial structure has no influence on SMEs' investment decisions. Additionally, our findings are most robust to SMEs that choose to invest in the oil and gas value chain which is consistent with the resource-based theory. This empirical study has been conducted through a survey. Data has been collected using a stratified sampling technique and structured questionnaires with 245 SMEs across diverse industries. The survey data has been analyzed using binominal logit regression and Chisquare test. The results are expected to be of substantial importance for investment decisions in the domestic business environment. We strongly recommend the replication of this study in other emerging oil and gas economies.

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Applicability of theory of constraint in predicting Ghanaian SMEs investment decisions

Abstract: Abstract. This study investigated dimensions of SME's constraints and decisions to Invest in

Cited by 10 publications

References 37 publications

Identifying and prioritizing factors of the formation of investment strategy in the Ghana’s downstream oil and gas industry

Identifying and prioritizing factors of the formation of investment strategy in the Ghana’s downstream oil and gas industry

Cybervetting prospective employees of SMEs

Small and medium enterprise’s internal resources and investment decisions in Ghana: The resource-based approach

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