Tobias Kreuter, C. Kalla, L. F. Scavarda, A. M. T. Thomé, B. Hellingrath
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引用次数: 8
Abstract
PurposeThis paper provides a five-step Enterprise Architecture Management (EAM) approach to systematically guide the development and implementation of contextualised Sales and Operations Planning (S&OP) designs.Design/methodology/approachA case study is conducted at a European chemical manufacturer. The research applies the five-step approach, embracing the descriptive and prescriptive EAM functions combined with the lens of contingency theory.FindingsThe research findings demonstrate the suitability of the proposed EAM approach for the contextualisation of S&OP designs from a contingency theory perspective. Its descriptive EAM function serves to assess context-specific S&OP challenges and enables to analyse the contextual fit of S&OP designs. Its prescriptive EAM function guides the development and implementation of context-specific S&OP designs towards increasing the S&OP effectiveness. EAM's integrated view onto people, process and information technology served to analyse current practices on the dynamics of S&OP contextualisation in innovation- and quality-driven contexts. Thereby, the paper contributes to a better S&OP contingency understanding.Practical implicationsThe EAM approach offered in this paper provides a concrete and practically applicable guidance to support managers to face their context-specific challenges and guide the contextualisation of their S&OP designs to increase the S&OP effectiveness. Moreover, practitioners can improve their understanding regarding the need for S&OP design adjustments to reflect changes in their companies' contingencies.Originality/valueThe research introduces a novel EAM approach for S&OP contextualisation, particularly reflecting contingency theory's dynamic view of structural adjustments to regain fit (SARFIT).
期刊介绍:
IJPDLM seeks strategically focused, theoretically grounded, empirical and conceptual, quantitative and qualitative, rigorous and relevant, original research studies in logistics, physical distribution and supply chain management operations and associated strategic issues. Quantitatively oriented mathematical and modelling research papers are not suitable for IJPDLM. Desired topics include, but are not limited to: Customer service strategy Omni-channel and multi-channel distribution innovations Order processing and inventory management Implementation of supply chain processes Information and communication technology Sourcing and procurement Risk management and security Personnel recruitment and training Sustainability and environmental Collaboration and integration Global supply chain management and network complexity Information and knowledge management Legal, financial and public policy Retailing, channels and business-to-business management Organizational and human resource development Logistics and SCM education.