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JournalISSN: 2501-1596

Oradea Journal of Business and Economics 

University of Oradea Publishing House
About: Oradea Journal of Business and Economics is an academic journal published by University of Oradea Publishing House. The journal publishes majorly in the area(s): Corporate social responsibility & Chemistry. It has an ISSN identifier of 2501-1596. Over the lifetime, 138 publications have been published receiving 268 citations.

Papers published on a yearly basis

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TL;DR: In this article, the authors examined the linkages between customer satisfaction and loyalty in Nigerian domestic airline industry and found that frequent air travelers displayed more loyalty tendency towards airline carriers compared to non-frequent air passengers.
Abstract: The debate concerning the interrelationships and effects between customer satisfaction and loyalty has been tossed back and forth, without a consensus opinion. This study examines the linkages between customer satisfaction and loyalty in Nigerian domestic airline industry. The study adopted correlation research design to elicit information via questionnaire from 600 domestic air passengers drawn through convenience sampling technique. The data obtained from the respondents were analysed with Pearson correlation analysis, linear regression, and One-way analysis of variance. Based on 383 completed data, the results provide support for the association and influence of customer satisfaction on customer loyalty. The study also found out that frequent air travelers displayed more loyalty tendency towards airline carriers compared to non-frequent air passengers. On the basis of aforementioned findings, the study concludes that customer satisfaction is extremely important in building and enhancing customer loyalty. Therefore, airline carriers should implement strategies that will guarantee long-term relationship with air travellers by offering service quality that will meet and exceeds their expectations and by extension customer satisfaction.

33 citations

Journal ArticleDOI
TL;DR: In this article, the authors examined the impact of foreign direct investment on innovation in developing countries and concluded that it is not enough for economic policy to attract foreign investments, it is still necessary to support domestic firms to build an absorptive capacity allowing them to enjoy the benefits of multinational firms.
Abstract: A large number of countries have enacted laws aimed at making it easier for firms to invest in their country, while many countries offer various monetary incentives and tax incentives to encourage inward Foreign Direct Investment (FDI). The desire to attract FDI is due not only to the fact that FDI brings in new investment boosting national income and employment, but also due to the expectation that inward FDI would also provide additional spillover benefits to the local economy that can result in higher productivity growth and increased export growth. This study aims to examine the impact of foreign direct investment on innovation in developing countries. The estimation of a panel threshold model on a sample of 54 developing countries for the 1980-2009 period shows the presence of non linear effects in the relationship between FDI and innovation. We find a threshold value of technological development below which FDI has a negative impact on innovation and above which FDI has a significant positive impact on innovation. We conclude that it is not enough for economic policy to attract foreign investments, it is still necessary to support domestic firms to build an absorptive capacity allowing them to enjoy the benefits of multinational firms.

19 citations

Journal ArticleDOI
TL;DR: In this article, a linear regression model was fitted and collinearity between predictors was detected using Variance Inflation Factor (VIF) using principal components as predictors.
Abstract: The impact of ignoring collinearity among predictors is well documented in a statistical literature. An attempt has been made in this study to document application of Principal components as remedial solution to this problem. Using a sample of six hundred participants, linear regression model was fitted and collinearity between predictors was detected using Variance Inflation Factor (VIF). After confirming the existence of high relationship between independent variables, the principal components was utilized to find the possible linear combination of variables that can produce large variance without much loss of information. Thus, the set of correlated variables were reduced into new minimum number of variables which are independent on each other but contained linear combination of the related variables. In order to check the presence of relationship between predictors, dependent variables were regressed on these five principal components. The results show that VIF values for each predictor ranged from 1 to 3 which indicates that multicollinearity problem was eliminated. Finally another linear regression model was fitted using Principal components as predictors. The assessment of relationship between predictors indicated that no any symptoms of multicollinearity were observed. The study revealed that principal component analysis is one of the appropriate methods of solving the collinearity among variables. Therefore this technique produces better estimation and prediction than ordinary least squares when predictors are related. The study concludes that principal component analysis is appropriate method of solving this matter.

13 citations

Posted Content
TL;DR: In this paper, the authors used TIATOOL model simulations to reveal the potential impact generated by the Romanian Operational Programs 2007-2013 funded projects in Bihor county, on a set of 34 socioeconomic indicators, for which individual intensities and weights were estimated by the author, based on the actual numbers of projects, their scope and the amounts of money absorbed by project beneficiaries.
Abstract: The author uses TIATOOL model simulations, in order to reveal the potential impact generated by the Romanian Operational Programs 2007-2013 funded projects in Bihor county, on a set of 34 socio-economic indicators, for which individual intensities and weights were estimated by the author, based on the actual numbers of projects, their scope and the amounts of money absorbed by project beneficiaries. The readers should not expect a high impact of Structural and Cohesion funds on the economy of Bihor county, on short term, because these funds, like the rest of community funds, have a very pronounced redistributive role, which means that the dimension of the necessary expenditures for the implementation of projects counterbalances its revenues dimension, the amortization of such investments being made on long term. The novelty of such research is the fact that the Community authorities (in this case the European Commission) investigate the impact of Community funds only at policy level (cohesion, regional development and employment, territorial cooperation) and only in a comparative spectrum between national and regional figures, and the Romanian authorities (the Ministry of European Funds, the Operational Programs Managing Authorities) carry out impact assessments only at national and regional level.

9 citations

Journal ArticleDOI
TL;DR: For SMEs, innovation should be embedded in the organisational culture in order to enable the creation and integration of the physical and virtual worlds, for an enriched customer experience tailored to their needs.
Abstract: For SMEs, innovation should be embedded it in the organisational culture in order to enable the creation and integration of the physical and virtual worlds, for an enriched customer experience tailored to their needs. There is a myriad of innovation typologies and levels of analysis present in the literature emanating from many disciplines such as management, psychology, economics, sociology and science (Kristiansen 2012). This article focuses on innovation in order to identify and analyse the types and sources of innovation encountered for SMEs by applying different frameworks and perspectives.

9 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
20239
202226
202117
202024
201920
201817