13th Edition – Amsterdam, November 2022

History of the 13th ICMEH – Amsterdam 2022

The 13th conference in Amsterdam from 18 to 20 November 2022 explored the intersection of data-driven and people-centered approaches. It featured in-depth studies by professionals from Netherlands, Belgium, France, Colombia, South Africa, Malaysia, other countries on applying AI and machine learning to business decisions, together with significant research on leadership psychology and organizational change, plus analyses of urban and regional economics. The main themes included:

  • AI/Machine Learning in Business
  • Psychology of Leadership
  • Urban Economics

Media Gallery

Explore the Significant Works of Our Conference

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Prof. Dr. Chavis Ketkaew

International College, Khon Kaen University, Thailand
Article title :
A Multigroup Structural Equation Approach for Understanding E-commerce Airfare Buying Behavior: Demographic Segmentation
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Prof. Dr. Erekle Pirveli

Caucasus University, Georgia
Article title :
Lobbying on Corporate Sustainability Reporting Directive: Content Analysis of Public Comment Letters
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Prof. Dr. Gülise GÖKCE

Selcuk University, Turkey
Article title :
The Importance of State Capacity in the Fight Against Corruption
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Prof. Dr. Ipek Kalemci Tuzun

Baskent University, Turkey
Article title :
Impact of Human Resource Information System on Organizational Performance: Evidence from Delone & McLean’s Information System Success Model
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Prof. Dr. Larissa M. Batrancea

Babes-Bolyai University Cluj-Napoca, Romania
Article title :
The Impact of ESG Rating on Company Performance in the Energy Industry: A Panel Data Analysis during the Past Decade
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Prof. Dr. Orhan GÖKCE

Selcuk University, Turkey
Article title :
The Image of Islam in the German Media
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Prof. Dr. Temitope Lydia Leshoro

University of South Africa, South Africa
Article title :
Relationship Between Interest Rates and Private Investment in South Africa: a Nonlinear ARDL Approach
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Dr. Abdullah Ghaleb Alshareef

University of Jeddah, Saudi Arabia
Article title :
Hospital Management During the COVID-19 Pandemic

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