23597704-606
Anar EMINOV; Elchin SULEYMANOV; Anar MIRZAYEV; Ilaha ALIYEVA
Expert Journal of Economics, 6(2), pp. 56-60, ISSN: 2359-7704
Received: August 16, 2018 Accepted: January 9, 2019 Published: January 27, 2019
JEL:
E22
Cite as: Eminov, A., Suleymanov, E., Mirzayev, A. and Aliyeva, I., 2018. The Dependence of Personnel Potential on Social Investment. The Case of the Tourism Sector. Expert Journal of Economics, 6(2), pp.56-60.
In this paper, we explore an econometric model of the dependence of the number of employees working in the tourism sector in Azerbaijan, on the investments in the tourism sector. Based on the results, it has been established that investment in the tourism sector has a significant impact on the increase in the number of workers in the tourism sector for the following year. Also, if annually the tourism sector attracts investments in the amount of one billion manat, this will lead to an increase in the number of employees in this sector by 7.471 people, for the following year.
23597704-605
Gabriel JIPA
Expert Journal of Economics, 6(2), pp. 44-55, ISSN: 2359-7704
Received: December 9, 2018 Accepted: December 27, 2018 Published: December 31, 2018
JEL:
D83
C60
C80
Cite as: Jipa, G., 2018. Mobile Applications Buying Opinions Exploration using Topic Modeling. Expert Journal of Economics, 6(2), pp.44-55.
Mobile devices proved to be disruptive for businesses. Installing, accessing and buying a new application become easy. Application marketplaces called Application Stores provides security (due to certification process imposed to developers), accessibility, application lifecycle serving as a central point for distribution, retirement, versioning, payment and consent for terms and conditions. Also, it allows capturing users feedback and application ratings. In general, we identify two categories of mobile applications available for installation: zero cost and paid. The way the developers monetize the apps usage can differ significantly, but installations/ downloads are part of an ecommerce transaction intermediated by the platform providers (Application Stores). Some applications offer a substitute to existing services (or extending distribution channels of a business) while others offers unique products or services available only through the platform/ mobile application. So, why some users prefers to buy mobile applications, while others not? This paper explores the potential value of survey captured open-ended answers by using natural language processing techniques with topic modeling, aiming to identify potential motivational categories. Data was collected as part of a larger study from 361 respondents and 231 responses in free text format that were used a corpus. The research (as part of motivational research in mobile applications buying behavior) was not referring to a specific application. Corpus was explored from the lens of motivational research using Latent Dirichlet Allocation (LDA) in the context of Technology Acceptance Model evaluating practical implications of the results.
23597704-604
Vasile BRĂTIAN
Expert Journal of Economics, 6(2), pp. 35-43, ISSN: 2359-7704
Received: September 2, 2018 Accepted: October 28, 2018 Published: November 5, 2018
JEL:
C02
C15
G13
Cite as: Brătian, V., 2018. Evaluation of Options using the Monte Carlo Method and the Entropy of Information. Expert Journal of Economics, 6(2), pp.35-43.
In the present paper, there are presented, theoretical and applicative, two issues: the evaluation of the European options using the Monte Carlo method and the measurement of the entropy of information for the price of the underlying asset of the option. The underlying asset used in our analyses is the share of Compa SA. Through Monte Carlo simulations, scenarios are created on the random evolution of the underlying asset, and the valuation of the option on the underlying asset is made using the Feynman-Kač theorem. The distribution we use is lognormal. Also, in the paper is measured the entropy of information of Shannon type. The measurement of the entropy of information of the stock market price of the underlying asset is calculated annually, considering the stock market price in this case as a discreet random variable.