Dursun Delen

Dursun Delen
Oklahoma State University - Stillwater | Oklahoma State · Department of Management Science and Information Systems

Ph.D.

About

230
Publications
126,759
Reads
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10,225
Citations
Introduction
Dr. Delen is the holder of Spears Endowed Chair in Business Administration, Patterson Family Endowed Chair in Business Analytics, Director of Research for the Center for Health Systems Innovation, and Regents Professor of Management Science and Information Systems in the Spears School of Business at Oklahoma State University. Dr. Delen has over 30 years of experience in analytics both as a business consultant and university professor. Dr. Delen has Authored/coauthored more than 100 peer-reviewed articles and eight books/textbooks. He is often invited to national and international conferences for keynote addresses, and companies for consultancy engagements, on topics related to business analytics. He currently serves as EiC, SE, AE, etc. on more than a dozen journal editorial boards.
Additional affiliations
July 2001 - February 2020
Oklahoma State University - Stillwater
Position
  • Professor
January 1997 - August 2001
Knowledge Based Systems Inc.
Position
  • Researcher
Education
August 1992 - December 1996
Oklahoma State University - Stillwater
Field of study
  • Industrial Engineering and Management

Publications

Publications (230)
Article
Optimal decision-making has become increasingly more difficult due to their inherent complexity exacerbated by uncertain and rapidly changing environmental conditions in which they are defined. Hence, with the aim of improving the uncertainty management and facilitating the weighting criteria, this paper introduces an improved fuzzy Einstein Combin...
Article
Millions of car crashes occur annually in the US, leaving tens of thousands of deaths and many more severe injuries and debilitations. Thus, understanding the most impactful contributors to severe injuries in automobile crashes and mitigating their effects are of great importance in traffic safety improvement. This paper develops a hybrid framework...
Article
Objective We investigated how the electronic health records (EHRs) strategies concerning EHR sourcing and vendor switching impact user satisfaction over time. Materials and Methods This study used a novel longitudinal dataset created by scraping clinicians’ Glassdoor.com reviews on 109 US health systems from 2012 to 2017 and combining it with the...
Article
Cryptocurrencies, especially Bitcoin (BTC), have become an important commodity for both individual and corporate investors within the last decade. The limited supply, high volatility, and random price fluctuations have increased investors' interest in BTC, especially in daily trading. Although BTC has been yielding a high rate of returns, price flu...
Article
Due to the shortage of available organs compared to the number of patients on waitlists, the organ allocation process has always been challenging and calls for an equitable and optimized allocation system. This system demands minimizing the waitlist mortality and improving transplantation benefits (e.g., survival time and quality of life). Accordin...
Article
Prolonged hospital stays, and readmission contribute to substantial healthcare cost. Hence, an assessment of the optimal inpatient length of stay (LOS) associated with lower readmission rate is important for healthcare providers. Post-acute care (PAC) facilities have promising potential to shorten the LOS; however, currently their influence on over...
Article
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This study examines the long-term energy capacity investment problem of a power generation company (GenCo), considering the drought threat posed by climate change in hydropower resources in Turkey. The mid-term planning decisions such as maintenance and refurbishment scheduling of power plants are also considered in the studied investment planning...
Article
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Online reviews are integral to consumer decision-making while purchasing products on an e-commerce platform. Extant literature has conclusively established the effects of various review and reviewer related predictors towards perceived helpfulness. However, background research is limited in addressing the following problem: how can readers interpre...
Article
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 decision analysis approach is proposed. In the first stage, the Defining Interrelationships Between Ranked criteria (DIBR) me...
Article
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While the positive influence of intellectual capital on innovation is well-established in the extant literature, research on how innovation activities affect intellectual capital is relatively scarce. Moreover, even though there is ample research showing the positive relationship between social capital and organizational performance, its significan...
Article
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’ long-term survival helps make timely treatment decisions. The current study addresses this problem by proposing a Tree-Augment...
Article
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, this process involves numerous clinical trials that may take up to several years, during which strict preventive measures must...
Article
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 efficient management of limited healthcare resources and saving lives by prioritizing at-risk patients. In this study, we propose a...
Article
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Reviewing patients who return to the emergency department (ED) within 72 h (i.e., bounce-back) is a standard quality assurance procedure used to identify correctable system- and clinician-level causes for earlier-than-expected return to the ED and ultimately ensure patients’ safety. This study proposes a deep learning (DL) framework to automaticall...
Article
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 the hidden information in the data, improve decision-making processes, and support strategic planning. On the other hand, beca...
Article
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 innovations. However, the application of deep neural networks is rare for time series problems when compared to other application areas...
Conference Paper
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Advances in computer technologies in the past couple of decades has enabled data and computer scientists to employ deep neural networks to detect and analyze complex patterns in large and varied data repositories from a wide variety of application domains. Given the interest in big data and analytics coursework in most information systems departmen...
Preprint
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In this special issue, we call for rigorous research that borrows from various disciplines and presents relevant and original work related to the disruption of illicit markets using OR and analytics approaches. This can be rendered in various forms, such as a new way of framing the issue via problematization, design approaches and constraint induce...
Article
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 bases as one of the effective ways to improve the areal coverage of future demands. In this study, we have developed a model-driven...
Article
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 customer satisfaction, earnings, and firm value as these drives change in stock prices, customer, and investor sentiment. The present...
Article
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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 objectives. This study proposes a framework that analyzes lean production methods using simulation and data envelopment analysis...
Article
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Despite all the promises of analytics, its complexity, multidimensionality, and multidisciplinary nature can sometimes disserve its efficacy. What can further aggravate the problem is the need to deal with human behavior and social interactions as inherent qualities of the application domain. One such area is the drug court; an alternative for trad...
Article
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 organizations. Sometimes, the affected organizations can detect these attacks in advance, with the help of cyber-threat intellige...
Article
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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 major topics, this study proposes a text-mining approach as an alternative to navigating large volumes of COVID-19 literature. Mate...
Article
Detection and characterization of comorbidity, the presence of more than one distinct disorder or illness concurrently occurring among a specific cohort of patients, is an invaluable decision aid and a prominent challenge in healthcare research and practice. The aim of this paper is to design a novel visual analytics system that can support efficie...
Poster
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IJRBS aims to provide a scientific base for scholars and researchers in the field of Social Science. IJRBS is an interdisciplinary journal and publishes manuscripts online bi-monthly in English. Journal welcomes manuscripts on a broad range of disciplines including business analytics, business strategy, corporate management, organizational theory,...
Article
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Diabetic retinopathy (DR) is a leading cause for blindness among working-aged adults. The growing prevalence of diabetes urges for cost-effective tools to improve the compliance of eye examinations for early detection of DR. The objective of this research is to identify essential predictors and develop predictive technologies for DR using electroni...
Article
Big data analytics examines millions, if not billions of records, to unmask hidden patterns, provide actionable insights and interpretable results for various domains. One area that has great potential to leverage the value of big data and analytics is the critical analysis of traffic accidents. Investigation results help in providing an in-depth u...
Article
Pig iron, the source for a variety of iron-based products, is traded in commodity markets. Therefore, enhanced productivity has significant economic implications for the producers. Pig iron is mainly produced inside of tall, vertical, thermodynamic reactors called blast furnaces that run 24 hours a day. The blast furnaces are too complex to model e...
Article
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This study employs predictive analytics to develop a decision support system for the prediction of recidivism in drug courts. Based on the input from subject matter experts, recidivism is defined as the violation of the treatment program requirements within three years after admission. We use two data processing methods to improve the accuracy of p...
Article
While the COVID-19 pandemic is still ongoing in a majority of countries, a wealth of literature published in reputable journals attempted to model the spread of the disease. A vast majority of these studies dealt with compartmental models such as susceptible-infected-recovered (SIR) model. Although these models are rather simple, intuitive, and ins...
Article
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’ performance for cryptocurrency mining using a hybrid analytics approach, which integrates the Analytic Hierarchy Process (AHP) and...
Article
The goal of this study is to analyze and characterize customer expectations in the cosmetics sector. Within this framework, first, the extant literature is reviewed, and 12 most prominent performance measurement criteria are identified. Then, these criteria are organized along the four different balanced scorecard dimensions. By employing an Interv...
Preprint
Full-text available
Objectives: The COVID-19 outbreak has impacted distinct health care systems differently. While the rate of disease for COVID-19 is highly age-variant, there is no unified and age/gender-inclusive reporting taking place. This renders the comparison of individual countries based on their corresponding metrics, such as CFR difficult. In this paper, we...
Article
Due to its complex, time-demanding, and multifaceted structure, personnel selection is considered as a multicriteria decision-making problem, the framework of which includes both qualitative and quantitative criteria. Although various techniques have been proposed to address this problem in various industries, a robust methodology that is capable o...
Research Proposal
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With this call, we invite scholars to rethink what would be the new normal in global value chains. In particular, we are interested in promoting the scholarly exploration of the long-term and strategic -beyond immediate and operational- the impact of the COVID-19 pandemic on global value chains. Thus, we seek new contributions that reimagine global...
Article
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 rich data set obtained from selected case study firms in Pakistan, three MCDM tools, namely, intuitionistic fuzzy decision-making...
Article
We are experiencing a significant shift in management practices—moving from intuition, experience, and gut‐feeling driven decision‐making to one that is driven by data, evidence, and computational sciences. This shift, which is often called the analytics revolution, is not only changing the business landscape from a practical perspective but also r...
Article
Full-text available
Background: In the absence of a cure in the time of a pandemic, social distancing measures seem to be the most effective intervention to slow the spread of disease. Various simulation-based studies have been conducted to investigate the effectiveness of these measures. While those studies unanimously confirm the mitigating effect of social distanci...
Preprint
BACKGROUND In the absence of a cure in the time of pandemics, social distancing measures seem to be the most effective intervention to slow down the spread of disease. Various simulation-based studies have been conducted in the past to investigate the effectiveness of such measures. While those studies unanimously confirm the mitigating effect of s...
Preprint
In this paper, we examine cross-country differences, in terms of the age distribution of symptomatic cases, hospitalizations, intensive care unit (ICU) cases, and fatalities due to the novel COVID-19. By calculating conditional probabilities, we bridge country-level incidence data gathered from different countries and attribute the variability in d...
Article
Full-text available
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 use of discrete-event simulation and structural equation modeling allows researchers and practitioners to analyze causal relation...
Article
Purpose This paper aims to contribute to the extant literature in this field by examining nonprofit organizations’ fraud reporting compliance using logistic regression and decision tree induction algorithms. Design/methodology/approach This study used the data from 428 nonprofit organizations during 2009-2015 period, and analyzed 21 individual mea...
Article
Recent forecasting research has shown a paradigm shift from algorithm aversion to appreciation. Despite growing trust in technological decision support, business decisions are often made based on gut feeling and intuition, ignoring part or all of the available data and information. Creating effective decision support solutions necessitates the unde...
Article
Various factors are behind the forces that drive hospitals toward more sustainable operations. Hospitals contracting with Medicare, for instance, are reimbursed for the procedures performed, regardless of the number of days that patients stay in the hospital. This reimbursement structure has incentivized hospitals to use their resources (such as th...
Chapter
The principal aim of this study is to investigate the direct and indirect impacts of Knowledge Management (KM) and Enterprise Resource Planning (ERP) usage with the mediating effect of Supply Chain Orientation (SCO) on operational performance drawing on a sample of 200 Turkish manufacturing companies. Universal Structure Modelling (USM) were applie...
Article
Background: Nephrology research is expanding, and harnessing the much-needed information and data for the practice of evidence-based medicine is becoming more challenging. In this study, we used the natural language processing and text mining approach to mitigate some of these challenges. Methods: We analyzed 17,412 abstracts from the top-10 nep...
Article
Full-text available
Background: The use of post-acute care (PAC) for cardiovascular conditions is highly variable across geographical regions. Although PAC benefits include lower readmission rates, better clinical outcomes, and lower mortality, referral patterns vary widely, raising concerns about substandard care and inflated costs. The objective of this study is to...
Article
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 network process and data envelopment analysis was developed and applied to the assessment of Turkish deposit banks quoted on Borsa...
Article
Full-text available
Study Objectives Review of patients who return to the emergency department (ED) within 72 hours (ie, bounceback) is a common quality assurance process. Current practice of studying bouncebacks, which relies on manual chart extraction and review, is labor-intensive and limited. In this study, we leverage machine learning methods to automatically ext...
Article
In the era of Big Data, Analytics, and Data Science, corruption is still ubiquitous and is perceived as one of the major challenges of modern societies. A large body of academic studies has attempted to identify and explain the potential causes and consequences of corruption, at varying levels of granularity, mostly through theoretical lenses by us...
Article
Background: To combat the opioid crisis, scholars have investigated medical comorbidities associated with opioid use; however, the findings are often contradictory. The main problem resides in the lack of controlling for polydrug use, as the combined use of drugs can cause additive and/or synergistic effects. Methods: This study employed the aprior...
Article
Full-text available
Contagious diseases pose significant challenges to public healthcare systems all over the world. The rise in emerging contagious and infectious diseases has led to calls for the use of new techniques and technologies capable of detecting, tracking, mapping and managing behavioral patterns in such diseases. In this study, we used Big Data technologi...
Article
Full-text available
Enterprise transformation has a serious impact on a firm’s survivability. Even though 70% of firms fail to transform (e.g., ToysRUs, Blockbuster, MySpace, Blackberry, etc.), not enough has been researched on factors that could improve transformation success. Our research explores four new factors—timing, leadership involvement, psychological owners...
Article
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Network providers and bandwidth brokers offer a variety of pricing policies based on differentiated quality-of-service (QoS) levels and volume discount schemes. In this paper, a cost minimization problem under various volume discount policies offered during the bandwidth allocation is formulated and solved via a heuristic algorithm. The proposed he...
Article
Epilepsy is one of the most common brain disorders that greatly affects patients’ quality of life and poses serious risks to their health. While the majority of the patients positively respond to the existing anti-epilepsy drugs, others who developed the refractory type of epilepsy show resistance against drug therapy and need to undergo advance tr...
Article
Student attrition – the departure from an institution of higher learning prior to the achievement of a degree or earning due educational credentials – is an administratively important, scientifically interesting and yet practically challenging problem for decision makers and researchers. This study aims to find the prominent variables and their con...
Article
Objectives: While the effect of medications in development of Adverse Drug Reactions (ADRs) have been widely studied in the past, the literature lacks sufficient coverage in investigating whether the sequence in which [ADR-prone] drugs are prescribed (and administered) can increase the chances of ADR development. The present study investigates this...
Article
Purpose The paper aims to identify and critically analyze the factors influencing cost system functionality (CSF) using several machine learning techniques including decision trees, support vector machines and logistic regression. Design/methodology/approach The study employed a self-administered survey method to collect the necessary data from...
Article
Longstanding diabetes mellitus is today known as the primary reason for kidney failure in the patients having that condition. While the prior research has studied the confounding role of some frequently prescribed diabetes medications in developing acute renal failure, some rarely prescribed medications are still under-studied in this regard. In ad...
Article
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 research topic. Drawing on the fundamentals of the resource-based view (RBV), this study proposes a model that examines the eff...
Article
Full-text available
This article describes methods used to determine the severity of Dry Eye Syndrome (DES) based on Oxford Grading Schema (OGS) automatically by developing and applying a decider model. The number of dry punctate dots occurred on corneal surface after corneal fluorescein staining can be used as a diagnostic indicator of DES severity according to OGS;...
Article
Administrators and policymakers at regional, national and global level are well aware of the necessity and undeniable benefits of renewable energy for long-term sustainability. In this study, we developed a two-stage analytical methodology to assess the efficiency of energy sources (a combination of various energy sources, mostly based on renewable...