Assessing the Level of Information Quality in Supply Chain Management in Vlore, Albania: a Statistical Analysis

Alma Sheko (Bregaj)

doi:https://doi.org/10.14445/22315373/IJMTT-V38P511

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 38 | Number 2 | Year 2016 | Article Id. IJMTT-V38P511 | DOI : https://doi.org/10.14445/22315373/IJMTT-V38P511

Assessing the Level of Information Quality in Supply Chain Management in Vlore, Albania: a Statistical Analysis

Alma Sheko (Bregaj)

Citation :

Alma Sheko (Bregaj), "Assessing the Level of Information Quality in Supply Chain Management in Vlore, Albania: a Statistical Analysis," International Journal of Mathematics Trends and Technology (IJMTT), vol. 38, no. 2, pp. 73-76, 2016. Crossref, https://doi.org/10.14445/22315373/IJMTT-V38P511

Abstract

nowadays information flow between supply chain partners is very important. Information sharing has become simpler due to information technology development, but it is very important that this information should be qualitative. The aim of this study is to estimate the level of information quality among SMEs located in Vlore city, Albania. The objectives of this research are: to identify the information technologies that are used by companies, to assess the level of information quality and to identify the company characteristics like experience, number of employees, sector, etc., that impact the level of information quality. Information quality is measured in terms of accuracy, timeliness, completeness, adequacy and reliability. The target population is composed of all small and medium enterprises operating in Vlore city, Albania. A questionnaire was distributed to top managers of targeted companies during November 2015. Statistical methods are used to analyse the data. It is found that the role of company in the supply chain was positively related with the level of information quality. The findings of this study provide useful information for business managers and IT specialists.

Keywords

information technology, information quality, cronbach’s alpha, chi-square test, logistic regression.

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