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The Impact of Personality Traits and Problem Structures on Management Decision-Making Outcomes
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作者 josefneuert Christopher A. Hoeckel 《Journal of Modern Accounting and Auditing》 2013年第3期380-391,共12页
Since decision-making behavior has been in the focus both from a scientific and a professional position, there seems to be a dispute whether rational or intuitive decision making leads to better outcomes. By now, scho... Since decision-making behavior has been in the focus both from a scientific and a professional position, there seems to be a dispute whether rational or intuitive decision making leads to better outcomes. By now, scholars have agreed that effective organizations do not have the luxury to choose between the "applications" of intuitive or rational decision making. Instead, they try to understand how different factors like personality traits and problem characteristics influence the decision-making process. Reviewing the literature reveals that personality pre-determination and the structure of problems (e.g., well-structured problems (WSPs) versus ill-structured problems (ISPs)) seem to have a significant impact on the decision-making efficiency. Further, the review also shows that there is a lack of application-oriented empirical studies in this area of research. Therefore, the aim of this research paper is to propose a framework for an empirical study on how personality traits and problem structure influence the decision-making process. First, hypotheses are derived from the literature on how personality pre-determination and behavioral patterns in the decision-making process lead to higher socioeconomic efficiency within certain problem categories. Second, a causal model and a setup for a laboratory experiment are proposed to allow testing the hypotheses. Finally, the conclusions provide an outlook on how this research could support organizations in their decision-making processes. 展开更多
关键词 decision making INTUITION RATIONAL personality traits problem structure efficiency
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Company Value and Employee Satisfaction: Theoretical Analysis and Empirical Findings
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作者 josefneuert Hans-Jurgen Brenninger 《Management Studies》 2014年第2期96-110,共15页
Employee satisfaction and its potential impact on business and company success have been in the focus of organizational and managerial practise and research ever since. This paper outlines the theoretical framework of... Employee satisfaction and its potential impact on business and company success have been in the focus of organizational and managerial practise and research ever since. This paper outlines the theoretical framework of this particular cause-effect proposition, and further examines if there is empirical evidence to substantiate the underlying research hypothesis, saying that increasing degrees of employee satisfaction have a positive impact on the company value. The company value can be measured by the equity value of a firm. With the primary data analysis, the authors compared 11 companies which took part in the Great Place to Work (GPTW) Contest in 2007 and 2009 (only in 2009) regarding their equity values and GPTW scores. The figures of these companies were provided to the authors in an anonymous form. The authors had no influence on the number of companies the GPTW Institute provided to them. The GPTW Institute tried to find companies which attend both contests and also show their financial data in the "Elektronischen Bundesanzeiger". This paper aims to foster these results with some additional primary statistical analyses for hypothesis testing. For this investigation, the authors conducted various types of statistical procedures which seem to confirm the underlying proposition. With different types of correlation analysis, the relationship between equity value and GPTW score was elaborated. By regarding the absolute average Earnings Before Interest and Tax (EBIT) and equity value of the eleven out of the 100 best companies, some differences can be pointed out by setting them in comparison to 30 randomly selected companies from Germany. 展开更多
关键词 employee satisfaction company value equity value regression analysis cause-effect relations
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