دانلود رایگان مقاله تعیین کمیت نقاط کور و سیگنال ضعیف در قضاوت اجرایی ادغام سازمان یافته قضاوت متخصص

عنوان فارسی
تعیین کمیت نقاط کور و سیگنال های ضعیف در قضاوت اجرایی: ادغام سازمان یافته قضاوت متخصص در روند توسعه سناریو
عنوان انگلیسی
Quantifiying blind spots and weak signals in executive judgment: A structured integration of expert judgment into the scenario development process
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
10
سال انتشار
2017
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E4010
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مدیریت
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مدیریت استراتژیک
مجله
مجله بین المللی پیش بینی - International Journal of Forecasting
دانشگاه
بخش مدیریت بین المللی و استراتژیک، دانشگاه فیلیپس، آلمان
کلمات کلیدی
قضاوت کارشناس، برنامه ریزی سناریو، بازخورد ذینفعان
چکیده

abstract


The integration of expert judgment is a fundamental pillar of most scenario planning processes. In particular, the systematic scanning of external expert opinions has been shown to be effective for the early detection of emerging threats and opportunities in an organization’s environment. However, organizations tend to focus on internal advice more than on advice from external experts. This can be critical for organizations if it leads to an inertia in internal judgment, resulting in blind spots or a failure to see weak signals in the firm’s periphery. In this article, we introduce a structured framework for the collection and structuring of internal and external expert judgment. This so-called 360◦ Stakeholder Feedback tool provides a structured and quantitative approach for the detection and discussion of blind spots and weak signals in scenario planning processes. Thus, it can contribute to a better and more holistic judgment in the strategic process. We demonstrate the methodology based on a case from the German construction industry, in which we aggregate and analyze expert judgments from different stakeholder groups regarding the future of the industry. © 2015 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.

نتیجه گیری

6. Discussion


The identification of weak signals and blind spots is a major challenge in strategic planning processes in general and scenario planning projects in particular. In spite of recent methodological research in the domain that has suggested various different ways of eliciting, quantifying and structuring the knowledge of experts (Aspinall, 2010; Morgan, 2014; Rowe & Wright, 2011; Schoemaker et al., 2013), the analysis of the weak signals and blind spots that show up as a result of such expert knowledge elicitation is an issue that has not been discussed in most of the literature on scenario planning to date.


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