Volume-3 , Issue-4 , Apr 2017, ISSN 2454-9312 (Online), 2454-6143 (Print) Go Back

• Open Access   Article

  The Interaction Effect of Institutions and Trade Liberalization on Economic Growth in Africa

  MATTHEW A.O, ODUNTAN E.A., ADEDIRAN O.S.

  Research Paper | Isroset-Journal (IJSRMS)

  Vol.3 , Issue.4 , pp.1-11, Apr-2017

  Abstract

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  Abstract
  This study sets out to examine the interaction effect of institutions and trade liberalization on economic growth in selected African countries using panel data. There is a general discourse that the growth of a country depends on the level of investment which can be achieved most times via engaging in trading activities with other countries of the world. International trade, on the other hand, is enhanced by the presence of strong institutions. It has been observed that the combination of institutions and trade liberalization affect the economic growth of African countries. Finding out which of the institutions would best aid international trade and boost growth more is the aim of this study. This study used secondary data of forty African countries and employed the Least Square Dummy Variables (LSDV) and the Generalized Method of Moments (GMM) econometric techniques for estimation. The major finding of the study revealed that the interaction effect of trade liberalization, political and cultural institutions is stronger than the interaction effect of trade liberalization and economic institutions hence economic growth tends to be better in the former case than the latter in the selected SSA countries. Therefore, the study recommends that attention should be paid to the development of the economic, political, and cultural institutions simultaneously by the governments of the African countries.

  Key-Words / Index Term
  Interaction Effect, Trade Liberalization, Institutions, Economic Growth, Africa

  References
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  Citation
  MATTHEW A.O, ODUNTAN E.A., ADEDIRAN O.S., "The Interaction Effect of Institutions and Trade Liberalization on Economic Growth in Africa," International Journal of Scientific Research in Multidisciplinary Studies , Vol.3, Issue.4, pp.1-11, 2017

• Open Access   Article

  Group Membership Prediction of an Outsourced Software Project: A Discriminant Function Analysis Approach

  Oluigbo I.V., Asiegbu B.C., Ezeh G.N., Nwokonkwo O.C.

  Research Paper | Isroset-Journal (IJSRMS)

  Vol.3 , Issue.4 , pp.12-18, Apr-2017

  Abstract

  Full-Text HTML

  References

  Citation

  Abstract
  For an organisation to achieve success as regards software outsourcing, it is important for such organisation to have a clear understanding of the requirements necessary for success. A strategic analysis approach posits that successful software development outsourcing is influenced by a number of critical success factors. In this paper, the researchers identified six (6) critical success factors of software development outsourcing for Nigeria; these critical success factors were thereafter discriminated against an outsourced software development to predict the success or non-success of the software project. A sample size of 50 respondents was used in this research, and primary data was derived from our sample respondent through a well-structured questionnaire. Furthermore, a discriminant function analysis was adopted in analysing the collected data. The results of the analysis indicated that the prediction of group membership for the outsourced software project showed more sensitivity towards successful than not successful. Hence the outsourced Citrix software was classified successful by 96.8% using the six (6) critical success factors (Cost Saving and Financial Stability, Effective Communication and Trust, Technical Expertise and Knowledge Transfer, Understanding Software Development Outsourcing Industry, Effective Software Privacy and Security, and Overcome Cultural Barrier). However of the six (6) factors, Understanding Software Development Outsourcing Industry (USDOI), and Technical Expertise and Knowledge Transfer (TEKT) contributed more to predicting the group memberships of the outsourced Citrix software by 57.5% and 34.7% respectively. The discriminant function was therefore derived of the form; Df(Citrix Software for ATM Reconciliation) = -17.640 + .098CSFS + .026ECTR + .347TEKT + .575USDOI - .019ESPS + .124OCBA. The results of the discriminant factor analysis validates the six success factors as critical to successful software development outsourcing.

  Key-Words / Index Term
  Critical Success Factor, Discriminant Analysis, Group Membership, Software Development Outsourcing, Technical Expertise

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  Citation
  Oluigbo I.V., Asiegbu B.C., Ezeh G.N., Nwokonkwo O.C., "Group Membership Prediction of an Outsourced Software Project: A Discriminant Function Analysis Approach," International Journal of Scientific Research in Multidisciplinary Studies , Vol.3, Issue.4, pp.12-18, 2017