The aim of this study is to understand the local gastronomic elements of destinations in the branding
process of destinations. To achieve this goal, Adana province, which has a large kitchen culture in Turkey is
chosen. Although there are studies related to destination branding process of Adana province in the literature
review, no study has been found to determine the place of gastronomic elements in the branding process. This
study is important for eliminating this gap. In order to achieve the objectives of the study, it was deemed
appropriate to use the questionnaire method. The questionnaire was applied to the visitors who participated in
the “Adana Flavor Festival” and experienced, the one of the local gastronomic element called, “Adana
Kebabı”. 298 observations were obtained in the study. The observations obtained were subjected to frequency,
percentage, arithmetic mean, standard deviation, reliability and correlation analysis. In the analyzes; It was
found that the perception of destination branding of Adana province is high, the image perception of Adana
kebab is very high and image of Adana kebab has a moderate positive relationship with the branding process of
Adana province.
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Social media analytics (SMA), referring to the collection and analysis of user generated data from social
media platforms, attract attention of both researchers and practitioners striving to derive consumer insights. The
SMA domain grows multifariously, with a highlight on the capability of machine learning algorithms in capturing
noteworthy insights through processing high-volume and complex data in a cost effective way. As machine learning
applications draw attention as a fertile area that may re-shape the future of SMA, there is a need to comprehend
trends and approaches in an integrative framework. Accordingly, this study aims to present an integrative
framework by portraying machine learning application trends and approaches in SMA. 42 scientific articles
published in refereed scientific business, management, and computational science journals between the years 2013
and 2019 are analyzed via systematic literature review based on visual text mining method (SLR-VTM). The results
revealed five distinctive research clusters as: (1) review sites, (2) microblogs, (3) social networking sites, (4) content
communities, (5) cross-media. This analysis plays a crucial role for enhancing our understanding regarding the
intellectual structure of the field, acknowledging the leading studies of the domain, better positioning future
research, and determining gaps and new paths for researchers.
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Despite the unemployment data have been recently released as seasonally adjusted, seasonality may
still exist in moving average (MA) or auto-regressive (AR) terms. This can be detected by searching for a regular
pattern in auto-correlation function (ACF) and partial ACF (PACF) diagrams. Therefore, models that aim to
forecast unemployment rates should consider their seasonal properties so as to obtain better mean equation
estimations. Univariate models mostly employ integrated ARMA (ARIMA) or generalized auto regressive
conditional heteroscedastic (GARCH) models or any combination of them. Once the mean equations are
structured better, GARCH estimations of variance equation is expected to perform better accuracy in forecasts.
This study first examines the ACF's and PACF's of seasonally adjusted unemployment rate data in G-7 countries
for 1995-2019 period. Then it compares the 4-quarter and 8-quarter ahead forecast performance of the seasonal
ARIMA (SARIMA) coupled volatility models of GARCH in mean, absolute value GARCH, GJR-GARCH,
exponential GARCH and asymmetric GARCH models. The performance of these models is also compared to
SARIMA and MA filtered volatility models. The results show that seasonality should be re-examined even in
seasonally adjusted unemployment data, since SARIMA models outperform ARIMA models in terms of out of
sample forecast errors. Besides SARIMA-GARCH models provide better out of sample prediction accuracy.
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Hanehalkları tüketim, yatırım ve özellikle tasarruf yaparak ülkelerin ekonomik yapısını belirlemektedir.
Tasarruf bir ekonominin temel dengesini sağlayan temel değişkendir. Ekonomik açıdan bireyler servetlerinin yanı
sıra yaşamları boyunca gelir düzeylerine göre tasarruf yapma eğilimindedirler. Bu nedenle tasarruf oranlarını
açıklamada en etkili faktörün gelir olduğu ekonomi kuramda yer alan gelir hipotezlerden ve literatür kapsamından
kanıtlanmıştır. Bu çalışmada Türkiye İstatistik Kurumu (TÜİK) tarafından yayınlanan Hanehalkı Bütçe Anketi 2018 verileri kullanılarak tasarruf oranı ile kişi başına düşen gelir arasında eşanlı ilişki Genelleştirilmiş
Momentler Yöntemi (GMM) ile incelenmiştir. Tasarruf oranı üzerinde kişi başına gelirin dolaylı etkisinin farklılık
gösterdiği, kullanılan araç değişkenler kullanılarak ortaya konulmuştur. Yapılan analiz sonucuna göre en temel
bulgu kişi başına düşen gelir artıkça tasarruf oranının artış göstermesidir. Hanehalkı tasarruf oranı %13,9’dur.
Ayrıca hanede çalışan kadın oranındaki artış ile oturulan konuta sahip olunması, yaşlı bağımlılık oranı, hanehalkı
reisinin yaş dağılımı tasarruf oranlarını pozitif etkilediği gözlenmektedir. Servet etkisi yapan ikinci konut,
otomobil sahipliği gibi durumlar ise hanehalkı tasarruflarını negatif etkilemektedir.
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Beşeri sermayenin ekonomik büyüme ile ilişkisi son yıllarda sıklıkla incelenen bir araştırma konusudur. Beşeri
sermaye sağlık gibi en temel bir ihtiyaç göstergesini içinde barındırmaktadır. Bir toplumu meydana getiren
bireylerin sağlık düzeylerinin yüksek olması, o toplumun ekonomik anlamda gelişme potansiyelini artırmaktadır.
Sağlıklı bireyler yetiştirmek ve bireylerin sağlık düzeylerini korumak amacıyla gerçekleştirilen sağlık harcamaları,
beşeri sermayenin niteliğini artıran faktörlerin başında gelmektedir. Sağlık harcamalarının beşeri sermayeye
sağladığı olumlu katkılar, ekonomik büyüme için ciddi bir kaynak oluşturmaktadır. Bu çalışmayla, seçilmiş 17
OECD ülkesi için sağlık harcamaları ve ekonomik büyüme arasındaki ilişki incelenmektedir. Yapılan ampirik
analizde söz konusu ülkeler için 1976-2017 yıllarını kapsayan dönemde cari fiyatlarla kişi başı sağlık harcamaları
ve kişi başı GSYİH verileri kullanılmıştır. Sağlık harcamaları serisi için veriler OECD resmi veri tabanından
derlenmiştir. Ekonomik büyüme verileri ise Dünya Bankası resmi veri tabanından temin edilmiştir. Seriler
arasındaki saklı eşbütünleşme ilişkisi Hatemi-J (2018) tarafından önerilen test ile sınanmıştır. Seriler kendi
aralarında uzun dönemli ilişkiye sahip değilken, pozitif ve negatif şoklar arasında uzun dönemli ilişki bulunmuştur.
Ayrıca serilerin asimetrik nedensellik ilişkisi sınanmış ve serilerin negatif şokları arasında çift yönlü bir
nedensellik ilişkisi tespit edilmiştir.
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Following the global financial crisis, the quantitative easing policies implemented by developed
countries to recover from the crisis led to large capital inflows into developing countries. In the face of macro-financial risks associated with capital flows, policy authorities had to deal with various policy dilemmas between
price stability and financial stability. The need to support monetary policy with additional tools to ensure price
stability and financial stability simultaneously has led many developing countries to increase the use of the
macroprudential policy. Turkey is also among the emerging market economies exposed to the macro-financial
risks caused by large capital inflows. Unable to control the risks that accumulated due to the divergence between
domestic demand and external demand, the Central Bank of the Republic of Turkey began to implement a new
policy mix from November 2010. To this end, the conventional inflation targeting was modified by incorporating
financial stability as a supplementary objective without prejudice to price stability and monetary policy was
conducted together with macroprudential policy. This study investigates the effectiveness of macroprudential
policies to control excesses in credit growth under the new policy mix in Turkey. Different from the literature on
Turkish experience, an index is constructed to analyze macroprudential policy. By employing cointegration
approach with structural breaks of Johansen et al. (2000) the relationship between macroprudential policy index
and real total credit growth was estimated covering the period from November 2010 to December 2017. Our
empirical findings indicated that macroprudential policy implementations in Turkey have had a limiting effect on
credit growth. However, this effect emerged after the tightening of the macroprudential policy stance was
increased.
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This study provides a bibliometric review on the information technology (IT) related articles published
in tourism and hospitality (T&H) journals which are indexed in Social Science Citation Index (SSCI). A database with detailed information was created through the Web of Science (WoS) using 5070 articles from 32 journals. Frequency tables of the publications were given and co-occurrence, co-citation, co-authors, and keyword
analysis were conducted. Findings indicate that Structural Equation Modelling and Venkatesh’s Unified Theory
of Acceptance and Use of Technology was mostly used in studies on IT in T&H. Additionally, some trend topics
have been specified according to study findings. This paper gives a deep understanding of IT researches in T&H
through bibliometric analysis.
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Within the scope of the technological developments, today's business model has started to be replaced
by the sharing economy. Sharing economy became a popular phenomenon in last decade. Although attentions
taken by scholars to that rapid change of economical transactions, very few researchers have been realized on
the intentions for sharing economy. In this study, it‟s aimed that to understand point of view of Turkish people
and to determine participation intentions to sharing economy activities. In this study, Turkish people
participation intentions examined by conducting a survey to convenience sampling. For the determination of
intentions non-parametric descriptive statistics applied to 375 respondents. Research findings briefly refers that
while Turkish people attitude towards sharing economy is positive there are still grey areas exist. Although
Turkish people willing to use sharing economy on selling and buying activities of unutilized goods and car
sharing activities. They are hesitating to join room rent and food service sharing economy activities.
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Hotels need new technologies in order to spread their knowledge and establish superiority over their
competitors by creating strategies in a fast, efficient, and secure manner in complex processes. Cloud-based
software services are one of the major areas where these technologies are applied. Thanks to cloud-based
software, the way hotels do their business has been significantly affected, and this effect continues to grow. The
aim of this research is to identify the current cloud-based software services offered to hotel businesses in
marketing activities and to contribute to the literature on this subject. Within the framework of the Quality
Management Awards, which are held annually in the tourism sector in Turkiye, the companies that received
awards in 2019 and provide cloud software services to hotels in online marketing were selected as research
samples and content analysis was carried out on the websites of these companies. Based on the context of
content analysis, it is found out that the cloud-based services offered to hotels in the field of online marketing are
provided with nineteen service sizes in five different categories in terms of purpose and scope. Information about
the types of services related to the detected categories are provided in the findings section of the research.
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Even though income inequality one of the most commonly analyzed topics in economics, there are few
studies aiming to examine the convergence in income inequality. By using a balanced panel of 98 countries over
the period of 1995 and 2015, we provide empirical evidences of the beta convergence that explains why there is
a decrease in inequality levels in countries that have high inequality levels at the start of the study period and an
increase in inequality levels for countries that have low inequality levels at the first year of the sample period.
The results of the study support the convergence hypothesis in inequality and provide some explanation of the
reasons and the tendencies of income inequalities in countries. Thus, it is possible to derive important
implications from the results of the study which contributes the convergence/divergence debate.
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