Consumer Decision-Making Processes in Higher Education - Couverture rigide

Couverture rigide

ISBN 13 : 9798337314990

Editeur : Igi Global Scientific Publishing, 2026

Synopsis

Decision-making in higher education is a complex process shaped by a dynamic mix of psychological, social, economic, and institutional factors. As competition among institutions intensifies globally, understanding what drives students and other stakeholders to choose specific universities or programs becomes increasingly vital. Factors such as aspirations, cultural influences, cost, perceived value, and institutional reputation significantly impact these choices. Additionally, the growing influence of digital technologies has transformed how information is accessed and evaluated. Gaining deeper insight into these decision-making drivers helps institutions better serve prospective students and adapt to an evolving educational landscape. Consumer Decision-Making Processes in Higher Education comprehensively analyzes the decision-making processes in selecting higher education institutions, programs, and services. It explores how these institutions can strategically position themselves to meet stakeholders' evolving needs and expectations. Covering topics such as brand attachment, institutional reputation, and tuition costs, this book is an excellent resource for academicians, researchers, policymakers, government officials, and more.

A propos du livre

À propos des auteurs

Omololu Fagbadebo is a Professor at the Durban University of Technology, South Africa. He holds a PhD in Political Science from the University of KwaZulu-Natal, South Africa. He previously taught Political Science at the Obafemi Awolowo University, Nigeria, and the University of KwaZulu-Natal, South Africa. He was Press Secretary to the Speaker, Osun State House of Assembly, Nigeria, 1999-2003. He participated in the Study of the United States Institutes (SUSI) on American Politics and Political Thought Fellowship at the University of Massachusetts, Amherst, in 2010. His research focuses on comparative politics, legislative studies, public governance, development studies, public institutions, and African government and politics. His book publications include, The Legislature in Nigeria's presidential Democracy of the Fourth Republic: Power, Process and Development and Democracy and Political Governance in South Africa: The African Peer Review Mechanism, published in 2023 in the Springer Nature's Advances in African Economic, Social and Political Development Series, State-owned enterprises in Africa and the economics of public service delivery, published in 2022 by AOSIS Publishing (Pty) Ltd, Cape Town, Public Procurement, Corruption and the Crisis of Governance in Africa (2021), published by Palgrave Macmillan, Democratic Practices and Governance in Nigeria (2021), published by Routledge, Impeachment in the Nigerian Presidential System: Challenges, Successes and the Way Forward (2020), published by Palgrave Macmillan and Perspectives on the Legislature and the Prospects of Accountability in Nigeria and South Africa (2019), published by Springer International Publishing.

John Weirstrass Muteba Mwamba is a financial economist and data scientist who holds a Ph.D. degree in Financial Economics from the University of Johannesburg (RSA), and a certificate in Data Science from McMaster University (Canada). In addition, John W holds a certificate in Decision Sciences from the INSEAD Business School - Paris (France). He has taught courses in Machine Learning, and Financial Economics/Mathematics at the University of Johannesburg and University of Lubumbashi (DRC) for more than 15 years. John W has published more than 50 articles in scientific journals and has been an ad hoc reviewer for international journals such as European Journal of Finance, Applied Economics, Economic Modelling, Energy Economics, British Journal of Mathematics and Computer Sciences, etc. His research interests lie in the areas of Statistical Machine Learning, Big Data modelling, Risk Management, Financial Statistics, and Decision Theory. He is currently the Founder of the Analytics Research Group – a think tank in Statistical Learning

Détails de l'édition

• Éditeur: Igi Global Scientific Publishing
• Date d'édition: 2026
• Langue: anglais
• ISBN 13: 9798337314990
• Reliure: Relié
• Nombre de pages: 350
• Éditeur: Fagbadebo Omololu Michael, Kabange Martin Mulunda, Mwamba John Weirstrass Muteba
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Allemagne