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Browsing by Author "Delen, Dursun"
Now showing items 1-18 of 18
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An analytic approach to assessing organizational citizenship behavior
Arda, Özlem Ayaz; Delen, Dursun; Tatoğlu, Ekrem; Zaim, Selim. (Elsevier, 2017)This study examines the organizational citizenship behavior (OCB) of employees by designing and developing an analytic network process (ANP) methodology. The viability of the proposed methodology is demonstrated via the ... -
An analytics approach to decision alternative prioritization for zero-emission zone logistics
Deveci, Muhammet; Pamucar, Dragan; Gokasar, Ilgin; Delen, Dursun; Wu, Qun; Simic, Vladimir. (Elsevier, 2022)Urban freight transportation requires wise management considerations since it is one of the most challenging issues cities face to attain sustainability. To help with the challenging decision process, an integrated two-stage ... -
An ANP and fuzzy TOPSIS-based SWOT analysis for Turkey's energy planning
Ervural, Beyzanur Çayır; Zaim, Selim; Demirel, Ömer Fahrettin; Aydın, Zeynep; Delen, Dursun. (Elsevier, 2018)Energy planning involves a perpetual process of reevaluating alternative energy strategies. Authorities responsible for energy planning and management have to adjust their strategies according to new and improved alternative ... -
Assessing the supply chain performance: A causal analysis
Bayraktar, Erkan; Sarı, Kazım; Tatoğlu, Ekrem; Zaim, Selim; Delen, Dursun. (Springer US, 2019)Measuring the performance-related factors of a unit within a supply-chain is a challenging problem, mainly because of the complex interactions among the members governed by the supply chain strategy employed. Synergistic ... -
Big data analytics capabilities and firm performance: An integrated MCDM approach
Yasmin, Mariam; Tatoğlu, Ekrem; Kılıç, Hüseyin Selçuk; Zaim, Selim; Delen, Dursun. (Elsevier, 2020)This study explores the interdependence of big data analytics (BDA) capabilities and the impact of these capabilities on firm performance using an integrated multicriteria decision-making (MCDM) methodology. Drawing on a ... -
Business analytics and firm performance: The mediating role of business process performance
Aydıner, Arafat Salih; Tatoğlu, Ekrem; Bayraktar, Erkan; Zaim, Selim; Delen, Dursun. (Elsevier, 2019)Due to the rapidly increasing popularity of business analytics (BA), investigation of the antecedents/determinants of the adoption of BA and the subsequent impact of the same to the firm performance has become an important ... -
Can customer sentiment impact firm value? An integrated text mining approach
Eachempati, Prajwal; Srivastava, Praveen Ranjan; Kumar, Ajay; Mu˜noz de Prat, Javier; Delen, Dursun. (Elsevier, 2022)Developing measures to capture customer sentiment and securing a positive customer experience is a strategic necessity to improve firm profitability and shareholder value. The paper considers the relationship between ... -
Crafting performance-based cryptocurrency mining strategies using a hybrid analytics approach
Hacıoğlu, Ümit; Chlyeh, Dounia; Yılmaz, Mustafa Kemal; Tatoğlu, Ekrem; Delen, Dursun. (Elsevier, 2021)Crafting and executing the best cryptocurrency mining strategy is vital to succeeding in cryptocurrency market investments. This study aims to identify the best cryptocurrency mining strategy based on service providers’ ... -
A critical analysis of COVID-19 research literature: Text mining approach
Zengul, Ferhat D.; Zengul, Ayse G.; Mugavero, Michael J.; Oner, Nurettin; Ozaydin, Bunyamin; Delen, Dursun; Willig, James H.; Kennedy, Kierstin C.; Cimino, James. (Elsevier, 2021)Objective: Among the stakeholders of COVID-19 research, clinicians particularly experience difficulty keeping up with the deluge of SARS-CoV-2 literature while performing their much needed clinical duties. By revealing ... -
Deep-learning-based short-term electricity load forecasting: A real case application
Yazıcı, İbrahim; Beyca, Ömer Faruk; Delen, Dursun. (Elsevier, 2022)The rising popularity of deep learning can largely be attributed to the big data phenomenon, the surge in the development of new and novel deep neural network architectures, and the advent of powerful computational ... -
Developing a hybrid analytics approach to measure the efficiency of deposit banks
Dinçer, Hasan; Hacıoğlu, Ümit; Tatoğlu, Ekrem; Delen, Dursun. (Elsevier, 2019)This study aims at analyzing the efficiency of deposit banks using contemporary analytics-based decision-making techniques within a fuzzy environment. Specifically, a hybrid analytic model drawing on a fuzzy analytical ... -
An explanatory analytics framework for early detection of chronic risk factors in pandemics
Davazdahemami, Behrooz; Zolbanin, Hamed M.; Delen, Dursun. (Elsevier, 2022)Timely decision-making in national and global health emergencies such as pandemics is critically important from various aspects. Especially, early identification of risk factors of contagious viral diseases can lead to ... -
An explanatory machine learning framework for studying pandemics: The case of COVID-19 emergency department readmissions
Davazdahemami, Behrooz; Zolbanin, Hamed M.; Delen, Dursun. (Elsevier, 2022)One of the major challenges that confront medical experts during a pandemic is the time required to identify and validate the risk factors of the novel disease and to develop an effective treatment protocol. Traditionally, ... -
An integrated approach for lean production using simulation and data envelopment analysis
Buyuksaatci Kiris, Sinem; Eryarsoy, Enes; Zaim, Selim; Delen, Dursun. (Springer, 2021)According to the extant literature, improving the leanness of a production system boosts a company’s productivity and competitiveness. However, such an endeavor usually involves managing multiple, potentially conflicting ... -
An interactive decision support system for real-time ambulance relocation with priority guidelines
Hajiali, Mahdi; Teimoury, Ebrahim; Rabiee, Meysam; Delen, Dursun. (Elsevier, 2022)Changes in demand patterns and unexpected events are the two primary sources of delays in healthcare emergency operations. To mitigate such delays, researchers proposed the movement of idle ambulances between emergency ... -
A probabilistic data analytics methodology based on Bayesian Belief network for predicting and understanding breast cancer survival
Dağ, Aslı Z.; Akcam, Zümrüt; Kibis, Eyyub; Şimşek, Serhat; Delen, Dursun. (Elsevier, 2022)Understanding breast cancer survival has proven to be a challenging problem for practitioners and researchers. Identifying the factors affecting cancer progression, their interrelationships, and their influence on patients’ ... -
A text-mining based cyber-risk assessment and mitigation framework for critical analysis of online hacker forums
Biswas, Baidyanath; Mukhopadhyay, Arunabha; Bhattacharjee, Sudip; Kumar, Ajay; Delen, Dursun. (Elsevier, 2022)Online hacker communities are meeting spots for aspiring and seasoned cybercriminals where they engage in technical discussions, share exploits and relevant hacking tools to be used in launching cyber-attacks on business ... -
The use of multi-criteria decision-making methods in business analytics: A comprehensive literature review
Yalçın, Ahmet Selçuk; Kılıç, Hüseyin Selçuk; Delen, Dursun. (Elsevier, 2022)Business analytics (BA) systems are considered significant investments for enterprises because they have the potential to considerably improve firms’ performance. With the value offered by BA, companies are able to discover ...
