The necessity of emphasizing the importance of industrial production for the sustainable growth and development of Turkey has been a topic of discussion in political and academia circles. The growth in industrial production (output) depends on the investment in manufacturing sectors and the demand for the products. Along with internal demand, Turkey tries to support its manufacturing base with export (incentives). Manufacturing items occupy the greatest share of products in export sales. The development of manufacturing capabilities of the country is clearly based on the demand from inside and out. The effect of Turkey’s export on its industrial production throughout 2000’s has been analyzed. For this purpose we developed a VAR model where industrial production index was the dependent variable and export, investment, and interest rate were independent variables. All independent variables were found to be significantly explaining industrial production.
In this study a search-based and an experience-based service were examined in Word-of-Mouth (WOM) context. The study aimed at revealing the extent to which consumer choices in movie theatre and repair and maintenance shop services are influenced by the experience communicated by personal sources. Four key contributions are planned. Firstly, although it has attracted attention and criticism there is no empirical examination regarding message characteristics. In this study, the effects of messages delivered by senders concerning purchase decisions are investigated. Secondly, a more powerful scale regarding active information search was developed. Thirdly, perceptual homophily and sender characteristics were added to the model in a unique construct. Fourthly, to measure the effects of personal sources a classification of services is applied for the first time in WOM researches in this context. Data was subjected to an exploratory factor analysis (EFA) and reliability analysis in the first stage of the analysis. At the second stage, confirmatory factor analysis (CFA) was conducted and the model's hypotheses were tested by using structural equation modeling (SEM).
This study used panel data regression analysis to evaluate the long-term effects of several measures of U.S. education expenditure on unemployment rates in 50 states and Washington D.C. over 25 years. The data included state-level statistics for fiscal effort, graduation rates, education spending per pupil, gross state product per capita, welfare spending, health spending, political party affiliation, union versus nonunion states, and unemployment rates. Results find that the best way to effectively reduce unemployment is investment in improving the quality of human capital through funding education. Findings specifically conclude that over the long term, investment in human capital through education as defined by per-pupil spending and health services could play a significant role in reducing unemployment rates.
The economic crisis presented unprecedented challenges to nonprofit organizations to sustain their services. In this study, we examined both financial and management factors that influence the financial performance of nonprofit organizations during times of economic stress. In particular, we investigated whether strategic planning and plan implementation, revenue diversification, and board involvement help nonprofit organizations deal with financial uncertainty and strengthen financial performance. Despite the negative impacts that the economic downturn had on nonprofit organizations, we found that the implementation of strategic plans can help nonprofit organizations reduce financial vulnerability. Our findings call attention to key management factors that influence the financial performance of nonprofit organizations.
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