An application of agile principles on business strategies within IT-based industries and automotive enterprises

Andreas Kompalla (), Jan Kopia () and Gabriela Tigu
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Andreas Kompalla: The Bucharest University of Economic studies)
Jan Kopia: The Bucharest University of Economic studies)
Gabriela Tigu: Not specified

Zeitschrift für interdisziplinäre ökonomische Forschung, 2016, issue 1, 112-122

Abstract: Multinational organizations, global institutions and small companies are following a path consisting of intermediate or final targets which have been derived from a high level (business) strategy. Especially within the traditional branch of manufacturing, business strategies are merging, which leads to a high degree of overlapping quantitative and qualitative goals. But in order to cope with today's reduced development cycles and faster changing customer requirements within a volatile, uncertain, complex and ambiguous (VUCA) world the manufacturing branch could preserve or increase its performance as well as its long-term success by benchmarking with highly agile and adaptive enterprises such as google, facebook, ebay, alibaba or amazon. A qualitative analysis based on case studies extracted from the automotive industry and emerging global players will compare traditional plan-based with agile business strategies considering the aspects of risk, uncertainty and performance. Furthermore this paper will focus on the contradiction of fixed planning versus continu-ous adaptions of enterprise strategies and business targets concluding that there are agile principles originated in software development, which have been partially tested within production and supply chain management and that can be applied to business strategies to increase or preserve a longterm benefit. The results show that most of these principles are not yet applied on a strategic level within the automotive industry but that there is a need for that in order to remain successful within the VUCA-environment.

Keywords: Business strategy; Agility; Business model; Lean; Automotive; Process optimization; Supply chain (search for similar items in EconPapers)
JEL-codes: L10 (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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