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The challenge of partner selection in collaborative foresight projects

机译:合作远景项目中选择合作伙伴的挑战

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In recent years the interest in inter-organizational collaborations when conducting foresight has increased. One important and challenging aspect in such collaborative foresight projects is the selection of suitable partners, which is analyzedin this paper. We do so based on existing literature and by an action research study: this collaborative foresight project was conducted by the project initiators (Linz Center of Mechatronics Ltd. (LCM) and Institute of Strategic Management, Johannes Kepler University Linz (ISM)) in cooperation with five companies. The results show that there are - due to the objectives of collaborative foresight (e.g. joint creation of future knowledge and "out-of-the-box-thinking") - special requirements regarding technological and organizational proximity, trust and commitment. Related to technological resources we claim that a higher degree of diversity is crucial and organizational proximity is less important. In this way unique learning opportunities can be created and opportunities for new ideas can be generated. However, the companies have to be similar enough to facilitate learning and to anticipate future developments. In addition, we suppose that geographical proximity is very helpful in bringing:the organizations together and facilitating the exchange of tacit knowledge. Furthermore, the results show that criteria such as trust and commitment, often referred to as key factors, are of little relevance in this context. (C) 2017 Elsevier Inc. All rights reserved.
机译:近年来,进行预见时对组织间合作的兴趣增加了。在这种合作性预见项目中,一个重要且具有挑战性的方面是选择合适的合作伙伴,本文对此进行了分析。我们是根据现有文献和一项行动研究进行的:此合作预见项目是由项目发起人(林茨机电一体化有限公司(LCM)和约翰内斯·开普勒大学林茨战略管理学院(ISM))合作进行的与五家公司。结果表明,由于协作远见的目标(例如,共同创造未来知识和“开箱即用的思维”),对技术和组织的亲近性,信任和承诺有特殊要求。与技术资源相关,我们认为更高程度的多样性至关重要,而组织接近性则不那么重要。这样,可以创造独特的学习机会,并可以产生新想法的机会。但是,两家公司必须足够相似,以促进学习并预测未来的发展。此外,我们认为地理上的相近性对于以下方面非常有帮助:将组织聚集在一起并促进隐性知识的交换。此外,结果表明,在这种情况下,诸如信任和承诺之类的标准(通常称为关键因素)几乎没有相关性。 (C)2017 Elsevier Inc.保留所有权利。

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