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The impact of entrepreneurial overconfidence on incubator effectiveness
The Journal of Technology Transfer, 2022 The low utilization of incubator resources has been subject to much academic attention within entrepreneurship research. This study explores how entrepreneurs’ overconfidence impacts the utilization of incubator resources and influences incubation performance. Based on interviews with 8 incubators and questionnaires from 184 entrepreneurs, the findings
Mingfeng Tang +3 more
openaire +2 more sources
Relationship Between Knowledge and Compliance With Safety Measures: Evidence From COVID‐19
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Compliance with health safety protocols is important for protecting public health, particularly in agricultural sectors where disease outbreaks can disrupt production and market access. Despite its economic significance, we know little about what drives protocol compliance.
Nilufer Cetik +2 more
wiley +1 more source
The Relationship between Managers’ Overconfidence and Financing Decisions with Special Focus on Ownership Structure [PDF]
International Journal of Management, Accounting and Economics, 2017 Overconfidence is one of the critical concepts of modern behavioral finance highly interested in financial theories and psychology. The main objective of the present research is to study the relationship between managers’ overconfidence and financing ...
Soosan Salehi +2 more
doaj
The Discouraging Effect of Overconfidence
Southern Economic JournalABSTRACTOverconfidence is often viewed as encouraging entrepreneurs and CEOs to follow risky strategies such as entering new markets, engaging in innovation, or pursuing mergers and acquisitions. While such undertakings can generate excess returns and profits, overconfidence is frequently offered as an explanation for why so many business ventures fail.
Cary Deck, Klajdi Bregu
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Testing the Marketing Performance of German Wheat Farmers
Agribusiness, EarlyView.ABSTRACT This paper analyses the marketing performance of wheat farmers in Germany. Wheat sales data from 465 individual farms over a 12‐year period are used to test against different market benchmarks. Market benchmarks are constructed by simulating passive trading agents using regional wheat prices.
Franziska Potts, Jens‐Peter Loy
wiley +1 more source
Risks, 2019 In this paper, we develop a contingent claim model to evaluate the equity, default risk, and efficiency gain/loss from managerial overconfidence of a shadow-banking life insurer under the purchases of distressed assets by the government.
Shi Chen +3 more
doaj +1 more source
Examining managerial overconfidence behavioral explanation effect on cost stickiness: Comparison with economic and agency theory based factors [PDF]
بررسیهای حسابداری و حسابرسی, 2014 Managerial overconfidence behavioral factor causes cost asymmetric. Prior literature focuses on economic and agency explanations about cross sectional variation in the degree of cost stickiness.
Mehdi Heidari
doaj +1 more source
The Challenge of Handling Structured Missingness in Integrated Data Sources
Advanced Intelligent Discovery, EarlyView.As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson +6 more
wiley +1 more source
Impact of behavioral biases on investment decision making and mediating effect of risk perception
Journal of the Academy of Business and Emerging Markets, 2022 The purpose of the study is to analyze the impact of behavioral biases—anchoring, loss aversion, overconfidence, disposition and regret aversion—on investment decision making, and the mediating role of risk perception between the biases and investment ...
Biswajit Acharjya +2 more
doaj +1 more source
Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source