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A Journey's End: Examining Entrepreneurs' Decisions to Exit their Ventures

Referenz

Riar, F. J., Jiang, D., Hack, A., & Kellermanns, F. W. (2024). A Journey's End: Examining Entrepreneurs' Decisions to Exit their Ventures. Presented at the Academy of Management Annual Meeting (AOM), Chicago, Illinois.

Publication Type

Präsentation auf wissenschaftlicher Konferenz

Staff Members

Assoz. Prof. Dr. Frederik Riar

Participating Institutions

Liechtenstein Business School Entrepreneurship und Strategisches Management

DOI

https://dx.doi.org/doi.org/10.5465/amproc.2024.18057abstract

From Social Impact to Sustainability: Motivational Shifts Among Women Entrepreneurs

Gender Diversity Effects in Investors' Financing Decisions.

Deal or No Deal? Understanding Entrepreneurs' Criteria in Investor Selection Decisions

Referenz

Sturm, T., Bican, P. M., Riar, F. J., & Guderian, C. C. (2025). Deal or No Deal? Understanding Entrepreneurs' Criteria in Investor Selection Decisions. Journal of Business Economics, 95, 9-36.

Publication Type

Beitrag in wissenschaftlicher Fachzeitschrift

Staff Members

Assoz. Prof. Dr. Frederik Riar Prof. Dr. Peter Michael Anton Bican

Participating Institutions

Liechtenstein Business School Entrepreneurship und Strategisches Management

DOI

https://dx.doi.org/doi.org/10.1007/s11573-024-01199-3

Family Firm Perceptions and Investment Decisions: An Experimental Conjoint Analysis of Private Equity Investors

Referenz

Paleit, S., Riar, F. J., Hülsbeck, M., & Hack, A. (2025). Family Firm Perceptions and Investment Decisions: An Experimental Conjoint Analysis of Private Equity Investors. Journal of Family Business Strategy, 16(3).

Publication Type

Beitrag in wissenschaftlicher Fachzeitschrift

Staff Members

Prof. Dr. Andreas Hack Assoz. Prof. Dr. Frederik Riar

Participating Institutions

Liechtenstein Business School Entrepreneurship und Strategisches Management

DOI

https://dx.doi.org/doi.org/10.1016/j.jfbs.2025.100672

How Organizations Design Portfolio Management to Govern AI: A Taxonomy Approach

Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI

Referenz

Bokstaller, J., Altheimer, J., Dormehl, J. A., Buss, A., Wiltfang, J. I., Schneider, J., & Röglinger, M. (2025). Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI. Paper presented at the ECIS 2025, Amman, Jordan.

Publication Type

Beitrag in Konferenztagungsband

Staff Members

Prof. Dr. Johannes Schneider Julia Altheimer Dr. rer. oec. Jonas Bokstaller

Participating Institutions

Liechtenstein Business School Artificial Intelligence und Data Science

The 2023 Global Philanthropy Environment Index Liechtenstein

Influence of Diverse Kinds of Persuasive Messages on Intention to Stay Home During COVID-19 Pandemic: Moderating Role of Media Type

Referenz

Basirat, M., Bouzari, P., Sharifi, S., & Fekete-Farkas, M. (2022). Influence of Diverse Kinds of Persuasive Messages on Intention to Stay Home During COVID-19 Pandemic: Moderating Role of Media Type. Telematics and Informatics Reports, 7(100012).

Publication Type

Beitrag in wissenschaftlicher Fachzeitschrift

Staff Members

Dr. Pejman Ebrahimi

Participating Institutions

Liechtenstein Business School Artificial Intelligence und Data Science

DOI

https://dx.doi.org/10.1016/j.teler.2022.100012

Grocery Apps and Consumer Purchase Behavior: Application of Gaussian Mixture Model and Multi-Layer Perceptron Algorithm

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