Causal attributions of vineyard executives – A mental model study of vineyard management☆

Q1 Economics, Econometrics and Finance Wine Economics and Policy Pub Date : 2017-12-01 DOI:10.1016/j.wep.2017.09.002
Martin FG Schaffernicht
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引用次数: 5

Abstract

This article contributes a reference of causal attributions made by vineyard executives in Chile, where increasing costs and stagnating prices challenge the vineyards’ profits. The investigation was motivated by the question how executives interpret the industry's mid term future and how they reflect on steering their companies. Based on in-depth interviews, causal maps were elaborated to represent the executives’ mental models. These are represented as sequences of attributions, connecting variables by causal links. It was found that some mental models guide policies bound to increase the prices, whereas other models suggest taking the prices as givens and control costs. The collection of causal attributions of the vineyard executives (CAVE) has been made publicly available. As a result, CAVE can be used by other management scholars to elicit other executives’ mental models and increase the data base available. Since such research will be cumulative, a minimum size for meaningful statistical analysis can be reached, opening up an avenue for improving the design of business policies. CAVE can also serve executives and consultants in constructing causal argumentations and business policies. Future research and development of supporting software are called for.

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葡萄园管理者的因果归因——葡萄园管理心理模型研究☆
这篇文章提供了一个由智利葡萄园高管的因果归因的参考,在那里,不断增加的成本和停滞的价格挑战葡萄园的利润。此次调查的动机是,高管们如何解读该行业的中期未来,以及他们如何思考如何管理自己的公司。在深入访谈的基础上,我们精心制作了因果图来代表高管的心理模型。这些被表示为一系列的归因,通过因果关系连接变量。研究发现,一些心智模型指导必然会提高价格的政策,而另一些心智模型则建议将价格视为给定并控制成本。葡萄园管理人员的因果归因(CAVE)已经公开发布。因此,CAVE可以被其他管理学者用来引出其他高管的心理模型,并增加可用的数据库。由于这种研究将是累积的,因此可以达到有意义的统计分析的最小规模,从而为改进商业政策的设计开辟了一条途径。CAVE还可以为高管和顾问提供构建因果论证和业务策略的服务。需要进一步研究和开发配套软件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Wine Economics and Policy
Wine Economics and Policy Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
2.20
自引率
0.00%
发文量
0
审稿时长
28 weeks
期刊最新文献
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