Browsing by Author "Koseoglu, M.A."

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CEO research in hospitality and tourism: a systematic literature review and future outlook
(2024.01.01) Saydam, M.B.; Arici, H.E.; Koseoglu, M.A.
Although the literature on hospitality and tourism (H&T) emphasizes the role of the chief executive officer (CEO) in ensuring a firm's competitive advantage, little is known about how CEOs are deployed in H&T businesses. A significant gap in the research has been identified regarding how CEOs influence organizations in the sector. This study investigates potential synergies between H&T organizations' emphasis on CEOs and their impacts on various stakeholders. Research findings also show that CEO literature in H&T has largely focused on antecedents such as demographic, attitudinal, and organizational factors. Additionally, we suggest future research questions for CEO-related studies.
Do ESG and Diversity Scores Predict Global Firms’ Environmental Innovation?
(SAGE Publications Inc., 2024) Saydam, M.B.; Olorunsola, V.O.; Arici, H.E.; Koseoglu, M.A.
Environmental innovation (EI) is fundamental to sustainable development goal (SDG) number 9. Indirectly, it contributes to the achievement of SDG 7 by laying the groundwork for producing renewable energy. Firms involve environmental, social, and governance (ESG) and diversity practices to achieve sustainable success. ESG and diversity scores on EI need to be predicted, yet EI predictors are few in the research. Our institutional theory-based study examines whether ESG and diversity scores influence EI scores in multinational organizations. The dataset comprises information from the Refinitiv Eikon database, including 430 publicly traded firms worldwide throughout 2021. The results of our study indicate that the environmental pillar score, ESG, and workforce score are the three most significant factors for calculating enterprises’ EI scores. This research provides valuable insights into enhancing sustainability practices and fostering innovation in global firms, offering a practical roadmap for businesses striving to achieve these objectives.
Do ESG and Diversity Scores Predict Global Firms' Environmental Innovation?
(2024.01.01) Saydam, M.B.; Olorunsola, V.O.; Arici, H.E.; Koseoglu, M.A.
Environmental innovation (EI) is fundamental to sustainable development goal (SDG) number 9. Indirectly, it contributes to the achievement of SDG 7 by laying the groundwork for producing renewable energy. Firms involve environmental, social, and governance (ESG) and diversity practices to achieve sustainable success. ESG and diversity scores on EI need to be predicted, yet EI predictors are few in the research. Our institutional theory-based study examines whether ESG and diversity scores influence EI scores in multinational organizations. The dataset comprises information from the Refinitiv Eikon database, including 430 publicly traded firms worldwide throughout 2021. The results of our study indicate that the environmental pillar score, ESG, and workforce score are the three most significant factors for calculating enterprises' EI scores. This research provides valuable insights into enhancing sustainability practices and fostering innovation in global firms, offering a practical roadmap for businesses striving to achieve these objectives.
Does data curation matter in citation and co-citation analysis? Evidence from a top service journal
(2023.01.01) Koseoglu, M.A.; Arici, H.E.; Arici, N.C.
Bibliometric scholars have primarily evaluated massive data without refining any potential typing and/or spelling errors, resulting in two constraints: misinterpretation of findings and misleading future research in the knowledge domain. Thus, this study aims to introduce the data curation approach in order to reduce these restrictions. Utilizing a renowned service journal (Journal of Service Research) as the study sample, we first acquired all published papers and then constructed raw and clean datasets. We ran citation and co-citation analyses on these datasets separately. Our investigation reveals that clean data yielded more trustworthy and valid results than raw data with redundant references. This study provides an answer to how and why data in bibliometric analysis needs to be cleaned. It thus contributes to the literature by suggesting a new route for scholars to improve the accuracy and reliability of their bibliometric findings.
Environmental, social and governance assets and diversity scores: exploring their relationship to carbon emissions in global companies
(2024.01.01) Koseoglu, M.A.; Arici, H.E.; Saydam, M.B.; Olorunsola, V.O.
PurposeThe interconnected challenges of climate change and social inclusivity have placed unprecedented pressure on businesses to adopt responsible practices. While previous research has explored the individual impacts of environmental, social, and governance (ESG) performance and diversity initiatives, there remains a dearth of comprehensive investigations into how these factors collectively influence carbon emission scores. Drawing on the legitimacy theory, we explore whether ESG and diversity scores predict global companies' carbon emission scores. As concerns about the environmental impact of businesses grow, understanding the relationships between ESG performance, diversity management, and carbon emissions becomes imperative for sustainable corporate practices.Design/methodology/approachThe primary dataset for this study includes 1,268 worldwide firm-year data for 2021. The sample is subjected to missing data examination as a component of the filtration process. Data preprocessing is performed before machine learning analysis, including verifying missing data. Our research resulted in the final sample, which includes 627 worldwide firm data from 2021. Data regarding all publicly traded companies was obtained from Refinitiv Eikon.FindingsOur findings showed that corporate carbon emission performance in global corporations is influenced by ESG performance and total diversity score.Originality/valueFirms involve in ESG as well as diversity practices to be able to achieve sustainable success. Yet, the forecasting of carbon emissions based on ESG scores and diversity scores remains inadequately established due to conflicting findings and enigmas prevalent in the literature.
How Does CEO Duality Influence ESG Scores in Hospitality and Tourism Companies? Confounding Roles of Governance Mechanisms and Financial Indicators
(2024.01.01) Arici, H.E.; Aladag, O.F.; Koseoglu, M.A.
Previous studies have yielded inconsistent results about the impact of CEO duality on corporate performance in the hospitality and tourism (H&T) industry. To further delve into this relationship, we investigated the causal relationship between CEO duality and environmental, social, and governance (ESG) performance under various board characteristics and financial indicators. The data from the Thomson Reuters Eikon database were evaluated using a machine learning technique that included targeted maximum likelihood estimation (TMLE), augmented inverse probability weighting (AIPW), and neural network analysis, all of which are doubly robust estimators with cross-fitting. The findings suggest that CEO duality negatively impacts environmental pillar scores but not other outcomes (i.e., governance and social pillar scores). Among the governance practices and financial indicators, policy executive compensation performance, policy executive compensation ESG performance, and return on invested capital (ROIC) have positive relations with total ESG scores. The results have important ramifications for helping H&T companies develop effective boards of directors and governance systems, as well as achieve targeted ESG performance objectives.
Sports tourism research: A bibliometric analysis and agenda for further inquiry
(2023.01.01) Arici, H.E.; Aydin, C.; Koseoglu, M.A.; Sökmen, A.
This study examines the origins, significant subjects, scientific advances, and future advancements in sports tourism research. We run a bibliometric analysis in R with the visualization tool Biblioshiny. The findings revealed four main clusters that have recently been examined in the knowledge domain: (1) sport tourist behaviors, (2) sustainable and economic development, (3) sports events and destination image, and (4) active-sport-event travel career progression. This study gives insight into the role of mega and small sports events in sustainable development in a tourist destination and identifies opportunities and limitations.