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Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/395

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  • Article
    Citation - WoS: 34
    Citation - Scopus: 45
    Strategy Implementation Research in Hospitality and Tourism: Current Status and Future Potential
    (Elsevier Sci Ltd, 2020-07) Aladag, Omer Faruk; Koseoglu, Mehmet Ali; King, Brian; Mehraliyev, Fuad
    To achieve their business objectives, hospitality and tourism organizations need effective implementation as well as consistent strategy formulation. However, the implementation aspect of strategy has attracted relatively less scholarly interest than strategic planning despite its critical role in achieving performance outcomes. Consequently, it is timely to provide an in-depth analysis of the strategy implementation literature. This is particularly the case in hospitality and tourism management where comprehensive literature reviews of strategy implementation have been lacking. To address the knowledge gap, the authors conduct a systematic literature review of 139 articles that appeared in 42 journals over the period 1988-2019. The items were grouped into six topic clusters with a view to generating novel research questions that have the potential to advance the field. We identify four main gaps that should be addressed and suggest prospective research directions.
  • Article
    Citation - WoS: 67
    Citation - Scopus: 82
    Social Media Utilization of Tourists for Travel-Related Purposes
    (Emerald Group Publishing Ltd, 2015-07-13) Oz, Mustafa
    Purpose - The aim of this study is to determine social media use by consumers for travel-related purposes. Design/methodology/approach - A quantitative study was conducted after reviewing the related literature. The primary data were collected by means of an online questionnaire, and the results were analyzed using a statistical package program. Findings - The respondents use social media intensively both in their daily lives (> 96 per cent) and in travel-related activities (95 per cent). In addition to the detailed analyses of their usage, a model was developed to identify the factors behind social media use for travel-related purposes. Research limitations/implications - As a result of an online questionnaire method, only consumers having an Internet access could respond to the survey. Additionally, the sample was not random, and the respondents were selected only from Turkey. Consequently, the study may suffer from a generalization problem, especially for markets with major different cultural characteristics. Practical implications - The findings of the study may assist academics and practitioners to better understand social media and Web 2.0 technologies and their effects on consumers. Originality/value - One of the dominant trends affecting consumer behavior and tourism marketing in recent years is the use of social media. It is critical to understand such developments and their effects on consumer behavior that may impact on the distribution and accessibility of travel-related information.
  • Article
    Citation - WoS: 300
    Citation - Scopus: 327
    Investigating the Impacts of Energy Consumption, Real GDP, Tourism and Trade on CO2 Emissions by Accounting for Cross-Sectional Dependence: A Panel Study of OECD Countries
    (Routledge Journals, Taylor & Francis Ltd, 2015-12-11) Dogan, Eyup; Seker, Fahri; Bulbul, Serap
    The objective of this study is to analyse the long-run dynamic relationship of carbon dioxide emissions, real gross domestic product (GDP), the square of real GDP, energy consumption, trade and tourism under an Environmental Kuznets Curve (EKC) model for the Organization for Economic Co-operation and Development (OECD) member countries. Since we find the presence of cross-sectional dependence within the panel time-series data, we apply second-generation unit root tests, cointegration test and causality test which can deal with cross-sectional dependence problems. The cross-sectionally augmented Dickey-Fuller (CADF) and the cross-sectionally augmented Im-Pesaran-Shin (CIPS) unit root tests indicate that the analysed variables become stationary at their first differences. The Lagrange multiplier bootstrap panel cointegration test shows the existence of a long-run relationship between the analysed variables. The dynamic ordinary least squares (DOLS) estimation technique indicates that energy consumption and tourism contribute to the levels of gas emissions, while increases in trade lead to environmental improvements. In addition, the EKC hypothesis cannot be supported as the sign of coefficients on GDP and GDP(2) is negative and positive, respectively. Moreover, the Dumitrescu-Hurlin causality tests exploit a variety of causal relationship between the analysed variables. The OECD countries are suggested to invest in improving energy efficiency, regulate necessary environmental protection policies for tourism sector in specific and promote trading activities through several types of encouragement act.
  • Article
    Citation - WoS: 351
    Citation - Scopus: 393
    Exploring the Relationship Among CO2 Emissions, Real GDP, Energy Consumption and Tourism in the EU and Candidate Countries: Evidence From Panel Models Robust to Heterogeneity and Cross-Sectional Dependence
    (Pergamon-Elsevier Science Ltd, 2017-09) Dogan, Eyup; Aslan, Alper
    A major criticism to the existing energy-growth-environment literature, we notice, is the selection of methodology. Panel estimation techniques that fail to consider both heterogeneity and cross-sectional dependence across countries may cause forecasting errors. The other concern related to the literature is that only a small number of studies analyze the influence of tourism on CO2 emissions even though tourism sector has potential for affecting the environment. To fulfill the mentioned gaps in the literature, this study analyzes the relationship among carbon emissions, real income, energy consumption and tourism for a panel of the EU and candidate countries over the period 1995-2011 by using heterogeneous panel estimation techniques with cross-sectional dependence. Results from the CADF and the CIPS panel unit root tests show that the analyzed variables become stationary at their first-differences. The LM bootstrap panel cointegration test indicates the presence of a long run relationship among the analyzed variables. Results from the OLS with fixed effects, the FMOLS, the DOLS and the group-mean estimator reveal that energy consumption contributes to the level of emissions while real income and tourism mitigate CO2 emissions. The Emirmahmutoglu-Kose panel Granger causality test suggests that there is one-way causality running from tourism to carbon emissions, and two-way causality between CO2 emissions and energy consumption, and between real income and CO2 emissions. Policy implications are further discussed.