📌#ACMPWebinar TOMORROW (10/1): Attend our next #ACMPWebinar: https://bit.ly/3BornPy 💻 Reducing Insidious Bias in Change and Decision-Making 🗓️ Tuesday, October 1, 2024 🕐 12:00 pm - 1:00 pm EDT 🎙️ Ed Cook, PhD Everything can be perfect in the analysis of a continuous improvement process. The data has been cleaned and prepped meticulously. The analytic tools are perfectly selected. The analysis itself is flawless. And then...the project dies in the conference room because of the executive decision-making process that flat out fails because too little attention is paid to practices that introduce bias into both the decision-making and change processes. Even if the project makes it out of the conference room, the change effort too can hold an insidious bias that can tank the effort. It can even diminish the culture as people feel marginalized because of a biased change management process. There’s a method for making the group decision and implementing a change that reduces the bias just as an analyst removes bias in the data. In this session, the group will learn this process so that they can execute it themselves and save a beautiful project from landing in the dustbin because the decision-making process would otherwise tank. Although the work is based on a couple of decades of practical application and academic research, the presentation format and style is based on teaching this method in the MBA program at the University of Richmond. It is interactive and engaging but laced with the underlying research that gives it substance. This session is driven by a case study of a company that needs to make a decision and then implement that change.
Association of Change Management Professionals (ACMP Global)’s Post
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SAVE THE DATE! Attend our next #ACMPWebinar: https://bit.ly/3BornPy 💻 Reducing Insidious Bias in Change and Decision-Making 🗓️ Tuesday, October 1, 2024 🕐 12:00 pm - 1:00 pm EDT 🎙️ Ed Cook, PhD Everything can be perfect in the analysis of a continuous improvement process. The data has been cleaned and prepped meticulously. The analytic tools are perfectly selected. The analysis itself is flawless. And then...the project dies in the conference room because of the executive decision-making process that flat out fails because too little attention is paid to practices that introduce bias into both the decision-making and change processes. Even if the project makes it out of the conference room, the change effort too can hold an insidious bias that can tank the effort. It can even diminish the culture as people feel marginalized because of a biased change management process. There’s a method for making the group decision and implementing a change that reduces the bias just as an analyst removes bias in the data. In this session, the group will learn this process so that they can execute it themselves and save a beautiful project from landing in the dustbin because the decision-making process would otherwise tank. Although the work is based on a couple of decades of practical application and academic research, the presentation format and style is based on teaching this method in the MBA program at the University of Richmond. It is interactive and engaging but laced with the underlying research that gives it substance. This session is driven by a case study of a company that needs to make a decision and then implement that change.
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Our #proceeding in Lecture Notes in Operations Research is finally out! 📑 Martijn Mes, Eduardo Lalla-Ruiz, and I designed a #proactive decision model to decouple inbound trucks at #ports and business parks. By using early #information on truck arrivals, we boost the efficiency of connected automated transport #CAT in container shunting. This case study promises to reduce congestion and increase sustainability at the Port of #Moerdijk. 🚀 🍃 An extended proactive decision model and analysis will soon follow as a #journal publication. This is part of an ongoing research where we establish the underlying logic and technology of a Truck Decoupling System #TDS as an alternative to Truck Appointment Systems #TAS, stay tuned! 🚛 🅿 ⌛ Thanks to the editors and peers who contributed to this book of proceedings. Find out more about the book at this link: https://lnkd.in/d5P9eNB3
Professor and Chair in Business Analytics, Director of Centre for Business Analytics in Practice, Surrey Business School
https://lnkd.in/d5P9eNB3. I'm delighted to announce the publication of the book we recently edited, titled "Business Analytics and Decision Making in Practice." This book is a comprehensive collection of insights and research presented at the International Conference on Business Analytics in Practice (ICBAP 2024). Whether you're an academic, a practitioner, or just passionate about the evolving field of business analytics, this book offers valuable perspectives on how analytics is being applied across various industries to drive decision-making and operational efficiency. Emrouznejad, A., P. D. Zervopoulos, I. Ozturk, D. Jamali, and J. Rice (2024). Business Analytics and Decision Making in Practice (Proceedings of the International Conference on Business Analytics in Practice - ICBAP 2024). In the series of “Lecture Notes in Operations Research”, Springer ISBN 978-3031615887, https://lnkd.in/d5P9eNB3. A heartfelt thank you to co-editors, Dr Panagiotis Zervopoulos, Dr Ilhan Ozturk, Dr Dima Jamali, and Dr John Rice, for their invaluable collaboration and expertise. On behalf of the editors, I want to extend my deepest gratitude to all the contributors whose research and insights have made this book a valuable resource, and to the reviewers whose feedback and constructive recommendations have enhanced the quality and rigor of each chapter. We would also like to express special thanks to Springer, particularly Christian Rauscher (Editorial Director at Springer) and Ms. Jialin Yan (Springer Editor), for their support in the publication of this volume in the Springer series Lecture Notes in Operational Research. Ali Emrouznejad, Director of Centre for Business Analytics in Practice (CBAP) at Surrey Business School, University of Surrey #BusinessAnalytics #DecisionMaking #DataScience #OperationsResearch #ICBAP2024 #SustainableBusiness #Emrouznejad #DataEnvelopment #DataEnvelopmentAnalysis #springer
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Thank you, Dr. Ali Emrouznejad, and the editorial team for the opportunity to contribute to this important publication. My colleague and I are honored to have our work featured in Chapter 6. We deeply appreciate the collaboration and support from everyone involved, including Springer. #BusinessAnalytics #ICBAP2024 #DataScience
Professor and Chair in Business Analytics, Director of Centre for Business Analytics in Practice, Surrey Business School
https://lnkd.in/d5P9eNB3. I'm delighted to announce the publication of the book we recently edited, titled "Business Analytics and Decision Making in Practice." This book is a comprehensive collection of insights and research presented at the International Conference on Business Analytics in Practice (ICBAP 2024). Whether you're an academic, a practitioner, or just passionate about the evolving field of business analytics, this book offers valuable perspectives on how analytics is being applied across various industries to drive decision-making and operational efficiency. Emrouznejad, A., P. D. Zervopoulos, I. Ozturk, D. Jamali, and J. Rice (2024). Business Analytics and Decision Making in Practice (Proceedings of the International Conference on Business Analytics in Practice - ICBAP 2024). In the series of “Lecture Notes in Operations Research”, Springer ISBN 978-3031615887, https://lnkd.in/d5P9eNB3. A heartfelt thank you to co-editors, Dr Panagiotis Zervopoulos, Dr Ilhan Ozturk, Dr Dima Jamali, and Dr John Rice, for their invaluable collaboration and expertise. On behalf of the editors, I want to extend my deepest gratitude to all the contributors whose research and insights have made this book a valuable resource, and to the reviewers whose feedback and constructive recommendations have enhanced the quality and rigor of each chapter. We would also like to express special thanks to Springer, particularly Christian Rauscher (Editorial Director at Springer) and Ms. Jialin Yan (Springer Editor), for their support in the publication of this volume in the Springer series Lecture Notes in Operational Research. Ali Emrouznejad, Director of Centre for Business Analytics in Practice (CBAP) at Surrey Business School, University of Surrey #BusinessAnalytics #DecisionMaking #DataScience #OperationsResearch #ICBAP2024 #SustainableBusiness #Emrouznejad #DataEnvelopment #DataEnvelopmentAnalysis #springer
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Professor of Decision Science at Delft University of Technology, Editor-in-Chief Journal of Multi-Criteria Decision Analysis
I am honored to serve as the plenary speaker for The Eleventh International Conference on Information Technology and Quantitative Management (ITQM 2024), organized by the International Academy of Information Technology and Quantitative Management. Title: Enhancing decision-making reliability: the Best-Worst Method's distinctive strategy Abstract: The Best-Worst Method (BWM) is a multi-criteria decision-making method that relies on pairwise comparisons to determine the relative importance of criteria and alternatives as perceived by a decision-maker. What distinguishes BWM from other elicitation methods is its utilization of two reference points: the best and the worst. These reference points, chosen by the decision-maker, serve as anchors for the pairwise comparisons, a feature derived from behavioral decision-making theories. This unique approach enhances the reliability of results generated by BWM. Initially, I outline the procedural steps of the method, followed by an examination of experimental findings demonstrating how the use of these two reference points can help alleviate potential anchoring bias inherent in decision-makers' judgments. Notably, the research reveals that relying on a single reference point tends to introduce anchoring bias, with biases typically manifesting in opposite directions. However, employing both reference points in the BWM optimization model appears to counteract the impact of anchoring bias, thus leading to less biased decision outcomes. The role of defining the range of evaluation, from the best to the worst, is also important. This initial step ensures that the following comparisons between options are made more reliable. By setting clear boundaries from the very beginning, decision-makers can make more consistent and reliable judgments. #MCDA #BWM #BehaviouralDecisionMaking #OperationsResearch #DecisionScience Delft University of Technology https://lnkd.in/evsSUBBW
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Facilitator | Founder, Monitoring & Evaluation Academy | Champion for Gender & Inclusion | Follow me for quality content
Short on resources but need deep evaluation insights? Most Significant Change (MSC) may be the ideal method for you. Strengths ✅ Captures rich, qualitative stories for deep insights. ✅ Ideal for complex programmess with no baseline data. ✅ Builds stakeholder trust and engagement. ✅ Highlights unexpected outcomes and marginalised voices. Weaknesses: ⚠️ Time-intensive and relies on skilled facilitation. ⚠️ Subjective story selection can introduce bias. ⚠️ Lacks quantitative data for standard comparisons. MSC thrives where traditional methods fall short, making it perfect for evaluations that demand depth and inclusion. Ready to learn more? ------ In a few days we have a webinar where you will hear real world examples on the use of MSC 🔥 We opened a few more spots and when these go, FULL IS FULL! 🔥 Register NOW. Don't miss out. https://lnkd.in/e8Fm3rZV #MostSignificantChange
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IMD’S 10 Fundamental Skills 1. Systems Thinking: Understand complex systems and how different components interact. 2. Pattern Recognition: Hone observation skills based on patterns extracted from data and learn to recognize irregularities. 3. Structured Problem-Solving: Approach problems systematically, utilize tools and techniques to break down complex issues and find effective solutions. 4. Decision Making: Know how to make sound decisions based on data. 5. Visioning & Scenario Planning: Learn to anticipate and evaluate future trends and challenges in order to develop relevant solutions and plans. 6. Divergent & Convergent Thinking: Enhance creative problem solving abilities, build on the insights and ideas generated to develop feasible solutions. 7. Quantifying Strategies: How to use data and analytics to back up your strategic thinking. 8. Asking Good Questions: In today’s data-intensive world it’s critical to know how to ask the right questions to find the information you need to make informed decisions. 9. Storyboarding & Storytelling: Present information and communicate your ideas clearly and evocatively through visualization and compelling narratives. 10. Strategic Presence & Presentation: Learn to present ideas confidently and persuasively to influence stakeholders and drive action. #IMD #MBA #MBAprep #GMAT #GMATpreparation #Quants #DataInsights #Criticalreasoning #MBAapplication #MBAadmission #GMATpreparation
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Driving business growth by helping clients to better understand, predict and change behaviour
Evidence shows companies that apply the principles of behavioural science outperform peers by 85% in sales growth… …but how do you ensure the critical FIRST behavioural science project you do for a particular client yields the most impactful results possible? The excellent book below suggests 3 key things – EITHER: 1. Resolve a business critical or high risk issue 2. Resolve a problem where other solutions have stagnated or failed 3. Take a simple, small scale project which can be used to quickly generate momentum https://lnkd.in/e9ziyPZZ #behaviouralscience #growthstrategy
The Behaviorally Informed Organization (Behaviorally Informed Organizations)
amazon.co.uk
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33+ Years of Leading Projects | Stakeholder Collaboration | Proficient in Research Methodologies
OPINION Balancing Quantitative and Qualitative Data in Reviews Whenever I return from field visits and discussions with senior officers, I often ask myself, "Why are program reviews frequently based on qualitative aspects instead of quantitative data, especially when the program’s objectives and targets are clearly defined in quantitative terms?" While review meetings are detailed and focus on nuanced information, qualitative insights, personal experiences, and anecdotal evidence play crucial roles in understanding and improving program effectiveness, there’s a need to consider why quantitative data is sometimes sidelined. Quantitative data can offer valuable breadth and depth on program progress, providing a contextual understanding that qualitative data alone may not. From my experience, one reason for this shift away from data-driven reviews could be a lack of trust in our own data. If we don’t fully rely on or believe in the data we have, it becomes challenging to conduct meaningful data-driven reviews. Comprehensive and reliable data is essential for this approach, but often, such data is unavailable or incomplete. Qualitative data certainly offers deep insights into experiences, motivations, and challenges that quantitative data might miss. For example, in new or innovative programs, qualitative insights can help identify key issues that quantitative data may not reveal. However, qualitative data shouldn't overshadow quantitative data. Balancing both types of data is crucial for a comprehensive understanding. Quantitative data highlights patterns and trends, while qualitative data provides context and explains the reasons behind these patterns. Using a combination of data sources and methods strengthens the validity of the findings. A balanced data-driven review approach ensures that neither qualitative nor quantitative data dominates without proper consideration. This way, we can leverage the strengths of both types of data to make more informed, effective decisions. What’s your experience and opinion. #classrooms #teaching #instruction #learning #students #teachers #capacitybuilding #education #learn #stem #research #school #Leaders #educators #Leadership #team #pedagogy #insights #development
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Automation Igniter | Harvard Business Review Advisory Council | #MasterBlackBelt | Helping Finance & Accounting Usher In The Age of #AI
Terrific Article in the latest Harvard Business Review, outlining the challenges and pitfalls associated with Data-Driven Decision Making. Authors Michael Luca of The Johns Hopkins University and Amy Edmondson of Harvard Business School, do a great job identifying some of the most common traps, mirages and errors that may find their way into your analysis. #HBR #DataAnalytics #HarvardBusinessReview #DataValidation
Where Data-Driven Decision-Making Can Go Wrong
hbr.org
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#2 Webinar is TODAY! 🙌 You still can register for the DiMAT #Material #Data #Management #Operationalisation and #Life-#Cycle #Assessment. Don’t miss your chance to join our free webinar today at 13:00 CET. This is your LAST OPPORTUNITY to discover groundbreaking tools for material data management and sustainability in just 40 minutes. Key insights: 🔧 - Simplify material data management for success; 🧠 - Use Knowledge Graphs to enhance decision-making; ♻️ - Make Life-Cycle Assessment (LCA) easy and impactful. Speakers: - Lukas Morand, Fraunhofer IWM, - Konstantinos Tsitseklis, National Technical University of Athens, - Thanasis Karagkounis, DRAXIS Environmental S.A., - Ellie Shtereva, PMP, F6S Innovation. 🔗 Secure your spot NOW: https://lnkd.in/dNzhFY-q. _ _ _ #DiMAT #DiMATProject #EUProject #Webinars #Series #MaterialsInnovation #DataManagement #Operationalisation #LifeCycleAssessment #SME #Materials #Manufacturing
