Sellinger Connect Series

The recent COVID-19 pandemic radically changed the nature of work. The pandemic forced organizations to change how and from where people worked. This experience showed managers that employees could be trusted to get their work done remotely, but also created a sense that life was more than just work thus prompting employees to seek more flexibility. Furthermore, employee well-being has been significantly impacted since the pandemic as indicated by increased levels of stress, burnout, and loneliness.
 
One way to combat these issues is to create a more human experience at work. The human experience of work is focused on improving well-being and performance by emphasizing the importance of purpose and meaning at work. To create a more human experience at work, I argue that managers need to focus on three important areas:

1. Fostering Positive Relationships
2. Having Fun at Work
3. Promoting Employee Engagement

Not only has my research shown how important these three areas are to creating a more positive work environment, but these are some of the key pillars being used by Hilton, which has been ranked as the #2 best place to work on Fortune’s 100 Best Places to Work.
 
Further, the idea of the human experience at work is aligned with two important values from Ignatian Spirituality—Cura Personalis and Contemplatives in Action. By focusing on such values organizations can develop a sense of Magis in their employees both in terms of their well-being and performance. In this conversation, I will lay out my case for this argument and the panelists will provide practical examples from their experiences to provide further context on the importance of creating a human experience at work.
 

Moderator:

Dr. John Michel
Associate Professor in Management, Loyola University Maryland
Organizational Psychologist

Panelists:

Lynn Argenbright
VP, Employee Benefits Advisor, PSA Insurance & Financial Services 
MBA, Loyola University Maryland 

Aravind Menon
Senior Director Human Resources, Global Grooming at Proctor & Gamble
MBA, Loyola University Maryland

Dave Luvison
Professor & Executive in Residence in Management, Loyola University Maryland

Access the Recording for "Fostering a More Human Focused Experience at Work"

Many industries, as well as multiple functional areas within any given organization, use predictive analytics. Marketing was an early adopter of the technology and remains one of the most significant users of predictive analytics to enable marketers to forecast the behavior of individuals and, in turn, drive more effective programs and outcomes. Put simply, using predictive analytics removes doubt, guesswork, and intuition and provides a framework for data-driven decision making. 

Our panelists will provide their insights on predictive analytics, how the technology is being used, and what's in store for the future. As well, attendees will have the opportunity to submit questions for the panelists.

Moderator:

Auburn Bell
Executive in Residence, Faculty
Sellinger School of Business, Loyola University Maryland

Panelists:

Colin Kendall
Chief Marketing Officer
SC&H Group

Moira McCaffrey
Senior Director, Digital Media & Advertising Performance
McCormick & Company

Brandon Parrott-Sheffer
Head of Polycultral Research, Ethos
Deloitte Digital

Meredith Quirk
Vice President, Data & Analysis
Digitas North America

Access the Recording for "Predictive Analytics: Driving More Effective & Successful Marketing Outcomes"

The past few years have seen disruptions in supply chains due to the Covid-19 pandemic. This was further exacerbated by other issues such as the Suez Canal blockage, the Ukraine-Russia war, and the Federal Reserve's monetary policy. 

Our panel of experts will discus how these challenges impacted supply chains, innovative solutions used, and how they are preparing to enhance supply chain resilience in an ever-changing global landscape.

Moderators:

Dr. Jay Brown
Associate Professor of Operations Management
Sellinger School of Business, Loyola University Maryland

Dr. Ravi Srinivasan
Professor of Operations Management
Sellinger School of Business, Loyola University Maryland

Panelists:

Michael Dockman
Managing Director, AMA Capital Partners
BBA, Finance, Loyola University Maryland
MBA, The University of Chicago
MS, Johns Hopkins University

Houston Mason
Adjunct Professor, Sellinger School of Business, Loyola University Maryland
Director of Logistics, Canam Steel Corporation
Previous President of CSCMP Baltimore Chapter
BSBA, University of Tennesse
MBA, Xavier University

Brant Matthews
Executive in Residence, Sellinger School of Business, Loyola University Maryland
Previous VP of Global Strategic Procurement, McCormick & Company
BS, Lehigh University
MS, Industrial Engineering, Lehigh University

Max Mendez
Inventory Planning Manager - Entities, Johns Hopkins Medicine
BBA, Technological Institute of San Lucas Potosi
MBA, Loyola University Maryland

Access the Recording for "Supply Chain 2023 & Beyond: Forging the Future by Applying Pandemic-Era Wisdom"

Our panel discussion will center around the convergence of data and economics, emphasizing how the application of economic theory enhances the quality of analysis.

Moderator:

Dr. Andrew Samuel
Professor of Economics
Sellinger School of Business, Loyola University Maryland

Panelists:

Anthony Bussanich
Corporate Transformation, JPMorgan
BA, Economics, Loyola University Maryland

Daniel Gorbaty
Previous Director of Heath Economics and Outcomes Research, FTI Consulting
BS, Biochemistry & Math Economics, Loyola University Maryland
MPH, Johns Hopkins University

Tom Hart
Data Strategy Lead, Point72
BBA, Business Economics, Loyola University Maryland
MBA, Binghamton University

Bryan Nelson
Senior Corporate Strategy, Teradata
BA, Economics & Political Science, Loyola University Maryland
MBA, University Virginia
JD, Seton Hall University

Norm Sedgely
Professor of Economics, Sellinger School of Business, Loyola University Maryland
BA, University of New Hampshire
MA, University of New Hampshire
PhD, University of New Hampshire

Access the Recording for "The Convergence of Data & Economics"