At this year’s annual conference, DSI is proud to offer over 40 professional development workshops, panels and tutorial sessions. Many are new to the program this year. Below is a brief description of many of the workshops to be found in the conference schedule. Be sure to highlight several of these on your personal schedule.
An Introduction to R Software
This workshop introduces the basics of R by analyzing datasets from Wooldridge (2015). The tutorial begins with an introduction of basic concepts. Next, econometric examples will be illustrated in R. Connections and differences between R and other software will be discussed. Finally, visualizing and exporting the results are illustrated.
Kedong Chen, Old Dominion University
Behavioral Research and Experimentation in Operations Management
In this workshop, we will discuss research in behavioral operations and supply chain management, the theoretical foundations that provide the basis for much of the work in our field, and the implications of drawing from such varied backgrounds. This year, there will be a focus on using online labor markets, (e.g. Amazon’s MTurk), to acquire subjects for behavior experiments. We plan to discuss the benefits of doing so, common reviewer critiques and how to address them, and some of the challenges researchers can expect to face when leveraging this pool and what to do about them.
Travis Tokar, Texas Christian University
Blockchain and Supply Chains: Bounty or Bluster?
Blockchain is an essentially contested concept. This workshop begins with open discussion and evaluation around its promise and limitations for supply chain management. We will move quickly into advanced discussion. Breakout groups around topics of blockchain research will be led by researchers and/or practitioners with questions developed. A research agenda with propositions will be a workshop outcome.
Joseph Sarkis, Worcester Polytechnic Institute
Conducting Experiments with Agent Based Simulation
This workshop focuses on conducting experiments using NetLogo. The workshop starts with introducing business usages of agent-based simulation in general. Then an example is presented to show how to build simulation in NetLogo, and how to conduct experiments using behavior space. Finally, exporting results and basic data analysis are illustrated.
Yuhong Li, Old Dominion University
Dealing with Endogeneity
Edogeneity poses a threat to many empirical studies. This workshop first provides an overview of the endogeneity problem. Next, since instrumental variable regression is the most prevalent technique for dealing with endogeneity in the operations management literature, we perform a step by step walk-through of instrumental variable regression techniques using a publicly available dataset.
David Peng, University of Houston
Dealing with Messy Data
Empirical researchers are increasingly drawn to curate a unique dataset by using a variety of secondary data sources. One of the key prerequisites to any such empirical research is to clean up data sources. In this workshop, I will explain general data management strategies, introduce common situations where messy data arises, and provide practical tutorials on dealing with messy data.
Hyunwoo Park, The Ohio State University
How to Identify Questions for Impactful and Sustained Research?
Junior researchers face the challenge of identifying a research topic which is impactful on both literature and industry. At the same time, it is hard to develop such a research topic to a sustained research stream. We invite a panel of well-established scholars in supply chain management who have turned such challenges into opportunities and established a profile of sustained research. They will share their experiences in identifying impactful and sustained research questions.
Xiang(Sean) Wan, The Ohio State University
M. Johnny Rungtusanatham, The Ohio State University
Asoo Vakharia, University of Florida
John Gray, The Ohio State University
Thomas Kull, Arizona State University
Looking to the Future: Interdisciplinary Research in the Age of Big Data and Digitization
Big data and digital technologies are transforming organizational decision-making. In this interactive session, Nada Sanders, President, Production and Operations Management Society, and Jason Thatcher, Immediate Past President, Association for Information Systems, will share their perspectives on interdisciplinary research. Workshop attendees will then brainstorm and identify interesting avenues for future research.
Janet Hartley, Bowling Green State University
Nada Sanders, Northeastern University
Jason Thatcher, University of Alabama
Mediation and Moderation Analysis
Mediation and moderation analyses techniques represent useful approaches capable of providing rigorous, nuanced, and meaningful insights that advance OM, SCM, and IS theory and practice. This workshop will feature authors of mediation and moderation studies from DSJ, JOM, JBL, and other top journals. Hypotheses formulation and analytic approaches will be discussed.
David Dobrzykowski, University of Arkansas
Research Forum: Complex Adaptive Supply Network Research Accelerator (CASN-RA)
Research teams attending the 2019 CASN-RA meeting will provide a brief overview of their current research topics and engage in an interactive discussion with workshop attendees. The objective of the CASN-RA is to advance the science of supply networks and sustainability management by studying supply networks and sustainability as complex adaptive systems. CASN-RA meets biannually to discuss and develop research topics suitable for publication in recognized SCM journals.
David Novak, University of Vermont
Paradigms for Parity in Advancing Women Leadership in Supply Chain and Operations Management
Women are increasingly entering operations and supply chain management (SC/OM). Yet the pace of advancement of promising women into leadership roles is too slow. This session develops multiple paradigms of the challenges and opportunities for the SC/OM field to bring gender equality into its upper echelons—Full Professor rank, Endowed Chair, Professional Society Fellows, Sr. Editorial Leadership, etc.–by 2025. Senior female and male academic scholars will discuss the issues and strategies for changing the dynamics. We will conclude with a challenging agenda that has the potential to make the 2025 goal a reality.
Funda Sahin, University of Houston
Predictive Analytics and Machine Learning
This workshop is aimed towards introducing the emergent field of predictive analytics in operations management research. Emergence of large secondary datasets in several areas of operations management such as new product development, product failures, retail operations, healthcare management, manufacturing operations and service operations have not only enabled researchers to address new questions in operational management but also, enabled researchers to have a new look at traditional questions. Real operations management is promised to undergo unpreceded metamorphosis due to incorporation of predictive analytics, decision support systems and artificial intelligence in several fields. However, to enable the potential of predictive analytics in operations management practice and research, it is essential to be able to use new types of data such as text data from social media, image and videos based data, sparse genetic data, etc., and new analytical methods such as machine learning and non-parametric statistics based methods.
This workshop is aimed at providing an overview of predictive analytics and the state of research using predictive analytics on complex and large datasets. There are two broad components to the workshop. First, the workshop will discuss general topics related to predictive analytics such as the difference between explanatory causal modeling and predictive analytic modeling of data, characteristics of big data, and general methods that can be used for predictive analytics. Second, the workshop will introduce a few illustrative examples of research using predictive analytics. Specifically, we intend to discuss three examples from healthcare analytics, product management, and social medial analytics. This workshop will hopefully motivate researchers to look into predictive analytic methods as a potential tool for research in operations management. Additionally, this will introduce predictive analytics in operations management to aspiring researchers who intend to delve into predictive analytics using large and complex datasets.
Ujjal Kumar, University of Illinois
Research Funding Opportunities at the Association for Supply Chain Management (ACM).
As the leading global association serving supply chain professionals and organizations, ASCM recently established a supply chain research grants program. To date, ASCM has funded almost $500,000 in research; this workshop not only highlights the seven studies now underway but also describes the grant solicitation currently open for 2019–2020.
Markham Frohlich, Indiana University
Research Opportunities in Public Sector Operations Management
Participants, noted Professors and editors of Public Management journals, will discuss research opportunities for Operations Management scholars in the broad domain of public administration based on recent trends and conceptual and methodological similarities.
Gyula Vastag, Széchenyi István University
Research Opportunities in Supply Chain Finance
Supply chain financing looks at the movement of money in the supply chain. It deals with how organizations use supply chain to get funding and how supply chain can use organizations to get funding. We will discuss emerging issues and consider research opportunities.
Thomas Choi, Arizona State University
Theorizing via Metaphorical Transfer for SCM Research
There is a need for theories in SCM. During this workshop, attendees learn how to theorize via the method of metaphorical transfer. Handouts to facilitate the execution of metaphorical transfer will be provided.
Yi Su Chen, University of Michigan-Dearborn
M. Johnny Rungtusanatham, The Ohio State University
Understanding Africa in the Global Supply Chain
African countries are bedeviled with challenges that hamper supply chain operations. Yet there are success stories of novel business models and supply chain practices that could enrich the SCM discipline. This PDW aims to shed light on such practices and explore ways of bringing Africa into the mainstream SCM discipline.
Uses of Data Visualization across the Research Cycle: Opportunities and Disciplinary Caveats
Panelists will examine how data visualization can be leveraged to (a) confirm and refine assumptions, (b) inform theoretically constructed models and their flaws, and (c) facilitate dialogues and subsequent data collection. We will consider disciplinary biases in both interpretation and design that can hinder these applications in the research cycle.
Elliot Bendoly, The Ohio State University
Using Bloomberg Data in SCM Research
“Research utilizing Bloomberg data is on the rise in SCM oriented journals. This data source is promising as it provides nuanced perspectives into suppliers, customers, management teams, and environmental performance of focal firms. However, the data features challenges related to access and scope. This panel discusses the opportunities and challenges.”
Matthew Schwieterman, Michigan State University
Isaac Elking, University of Houston Downtown
John-Patrick Paraskevas, Miami University
Crafting a Journal Submission that Makes a Theoretical Contribution
This workshop focuses on development of research journal submissions that make a theoretical contribution, which is a problem that many authors struggle with. Topics covered include why making a contribution to theory is important; use of theory as a roadmap; what constitutes a theoretical contribution; alignment of theoretical perspective with the research problem, data collection approach and data analysis strategy; and issues and opportunities with deductive and inductive theoretical approaches in operations and supply chain management research. Journal editors will provide examples of effective and ineffective approaches to making a theoretical contribution, as well as articulating the differences between various journals’ perspectives on theoretical contributions.
Wendy Tate, University of Tennessee – Knoxville
How to Write the Introduction to your Paper
Introduction is one of the most important parts of a research paper that captures a reader’s attention. In this workshop, participants will learn key ideas around framing introduction to their research papers. Participants will get practice crafting introduction to their own papers. The workshop is intended for early researchers.
Sriram Narayanan, Michigan State University
Paper Development Workshop
The Paper Development Workshop is intended to help new authors successfully publish their research in Decision Sciences Journal, the official journal of the Decision Sciences Institute.
To be eligible for consideration:
Author or author teams must not have previously published in Decision Sciences Journal.
Submitted manuscripts must not be under publication consideration at any journal before November 23, 2019.
Each author or author team can submit one and only one manuscript to the workshop. If more than one is submitted, the first one will be the default to be considered.
Submission Requirements: CV for the author and/or all members of the authoring team.
All submissions must be received by August 15, 2019.
Submissions must be emailed to firstname.lastname@example.org.
A submission, once accepted, will be paired with one or more members of the respective editorial team (e.g., an Associate Editor or a Reviewer). Communications can then occur between the author(s) and the selected editorial team members.
Author(s) will meet with the selected editorial team member(s) at the 2019 Annual Meeting of the Decision Sciences Institute to work on finalizing their submissions to DSJ.
Finalized submissions are expected to be submitted to DSJ for formal review soon after the 2019 Annual Meeting of the Decision Sciences Institute passes.
See conference website for details and to submit.
Joy Field, Boston College
Publishing in DSJIE Workshop
Publishing in DSJIE is one of two workshops to help new authors successfully publish their research in official journals of the Decision Sciences Institute: Decision Science Journal (DSJ) and Decision Sciences Journal of Innovative Education (DSJIE).
To be eligible for consideration:
1. Author or author teams must not have published previously in DSJIE.
2. Submitted manuscripts must not be under publication consideration at any journal before November 30, 2019.
3. Each author or author team can submit one and only one manuscript to the workshop. If more than one is submitted, the first one will be the default to be considered.
Submission Requirements: CV for the author and all members of the authoring team. A manuscript.
All submissions must be received by September 13, 2019.
Submissions must be emailed to email@example.com.
A submission, once accepted, will be paired with one or more members of the respective editorial team (e.g., an Associate Editor or a Reviewer).
Communications can then occur between the author(s) and the selected editorial team members.
Author(s) will meet with the selected editorial team member(s) at the 2018Annual Meeting of the Decision Sciences Institute to work on finalizing their submissions to DSJIE.
Finalized submissions are expected to be submitted to DSJIE for formal review soon after the 2019 Annual Meeting of the Decision Sciences Institute passes.
Matthew Drake, Duquesne University
Receiving and Providing Benefits from Reviewing Manuscripts
Reviewing manuscripts is a key service activity for researchers. Not only is this activity critical to the development of new knowledge, but can also contribute to the development of each reviewer’s research knowledge and skill set. We will not only focus on how to best craft useful reviews, but also on how to learn as a reviewer from the review process. This workshop is geared towards students, junior faculty and all others that seek to improve their manuscript reviewing skill set. The workshop will also include a panel discussion with excellent reviewers, AEs and DEs that have won awards from leading journals (DSJ, JOM, POM etc.).
Rachna Shah, University of Minnesota
Responding Effectively to Reviewer Comments
For authors using secondary data and econometric specification, responding effectively to review-team’s comments is increasingly challenging. In this session, we will share a few approaches that have been used successfully to respond to comments related to specific methods (e.g. hazard-model) and specific issues (e.g. endogeneity).
Alan Mackelprang, Georgia Southern University
A Quick Review of AACSB Accreditation Process and Faculty Involvement
In this workshop the participant will get familiarity with the AACSB standards and processes and learn what role faculty can play to assure a smooth process for the initial accreditation or Continuous Improvement (re-accreditation). In addition, an overview of the main database existed within the AACSB will be presented.
Maling Ebrahimpour, University of Rhode Island
Effective Course Design for Gen Z: How to Engage Today’s Tech Savvy, Entrepreneurial Learners
Today’s students have grown up with technology, often using the internet and smart phones since birth. Instructing these learners requires a shift in pedagogy to engage and educate. In this workshop, discover a variety of methods for tackling the change from scholars representing multiple disciplines. Tips will be shared on ways faculty can design innovative courses, administrators can support this creativity in course design, and the larger university can back these efforts. Practical how to advice will also be shared to boost student success from the first class session to the last, whether the instructors are delivering face-to-face or remotely.
Karen Eboch, Bowling Green State University
Facilitating Effective and Inclusive Student Teams through Holistic Pedagogy
College students today seek inclusivity, collegiality, and interdisciplinary curricula. This interactive workshop will disseminate research on pedagogical strategies for achieving these ends through student teams. Practical examples will be shared including a primer for achieving greater chemistry, diversity of teams, and results-oriented teamwork that produces both academic and career outcomes.
Seth Powless, Earlham College
Sarah Sengupta, St. Cloud State University
Integrated Strategic Management
This workshop will introduce the pedagogical benefits of Integrated Strategic Management, a capstone course in Chicago Booth’s MBA curriculum. The course challenges competing student teams to integrate knowledge from multiple disciplines in order to grow a struggling startup into a valuable business in a continuous time, evolving, simulated market environment. We will discuss the simulation, our learning objectives, measures of success and student feedback.
Kathleen Fitzgerald, University of Chicago
Teaching in the Global Context
This panel uses multiple lenses to explore trends, opportunities, and challenges associated with teaching in different geographic and programmatic environments. Panelists with extensive teaching and administrative experience in a variety of settings will share strategies and insights on how to effectively deliver high quality instruction under different cultural contexts.
Vijay Kannan, Utah State University
Wendy Tate, University of Tennessee
M. Venkataramanan, Indiana University
Norma Harrison, Macquarie University
Constantin Blome, University of Sussex
The Omni-Channel of Course Delivery – Conventional, Online, MOOCs, Hybrid/Blended, and the Premium Each can Offer
In this workshop, we will discuss how online and blended learning is revolutionizing the education landscape. To that end, we will explore the experience of the MIT Supply Chain Management Program. We will follow the journey of this program from traditional in class-room education to a massive online credential program and hybrid online and in-classroom educational formats for certificates, credentials, and Masters degrees, reaching eager students around the world. To better understand the value of each of these educational formats, we will discuss (i) the premium each channel can offer, (ii) which channel is more appropriate for what type of content (iii) which format is more appropriate for each channel.
Eva Maria Ponce Cueto, Massachusetts Institute of Technology