Managing Reverse Knowledge Flows in Routine Replication Programs: The Case of Global Manufacturing ERP Template Rollout

Abstract

Purpose: Acknowledging the key role of knowledge transfer as the primarily mechanism, through which firms replicate organizational routines, this paper addresses the role of reverse knowledge flows in routine replication programs and attempts identifying a set of mechanisms that could facilitate these knowledge flows. Furthermore, the article aims to provide a proposal for a structured approach to reverse knowledge flow management that would combine in the same framework (1) the deployment of routines in new contexts and (2) the collection, transformation, and redeployment of local knowledge.<br/><br/>Methodology: The applied methodology follows the interpretative research approach. It draws from a longitudinal study of a seven-year-long replication program, during which an ERP template has been deployed in twenty-five manufacturing sites and five regional offices of a leading multinational FMCG company. The main research method was participant observation complemented with interviews, project documentation, and e-mail communication analysis.<br/><br/>Findings: The paper shows that, in the course of multiple replications, the replicated template becomes subject to several adjustments in order to fit new requirements, eliminate observed shortcomings, and adopt learnings from previous deployment sites. The article further demonstrates that keeping such template enhancement process effective requires deliberate management of reverse knowledge flows, which maturity should grow in parallel to the scope of the program and number of replications. This means that reverse knowledge flows must increasingly base on well-established processes with assigned resources, clear responsibilities, and socio-material mechanisms. This is a prerequisite for the subsequent deployments and retrofits of an enriched template to become the key vehicle for the diffusion of local learnings on a company-wide scale.<br/><br/>Originality: This paper contributes to the literature on organizational routines by addressing the role of reverse knowledge flows in routine replication processes, proposing a structured approach to reverse knowledge flow management in routine replication processes, proposing a structured approach to reverse knowledge flow management in routine replication programs, and presenting a maturity model for a reverse knowledge flow management system.<br/><br/>

Authors and Affiliations

Marcin Kandora

Keywords

Related Articles

Postcolonial Sub-Saharan 1 State and Contemporary General Business Environment. Selected Issues

Purpose: The paper presents the results of a qualitative analysis of selected aspects of general business environment. The author strives to answer the following question formulated in the context of postcolonial deliber...

Innovative Models of Supply Chain Management

Purpose: The paper scientifically analyzes sustainable development in the context of economic entities and their integration in supply chains that reflect the various business models between parties involved in value cre...

On the nature of uncertainty and its interpretations

The paper presents an attempt to interpret the phenomenon of uncertainty in the context of thecomplexity and dynamics of contemporary organizations and their environment. The interpretationof uncertainty has been conduct...

Tax System in Poland – Progressive or Regressive?

Purpose: To analyse the impact of the Polish fiscal regime on the general revenue of the country, and specifically to establish whether the cumulative tax burden borne by Polish households is progressive or regressive.Me...

Download PDF file
  • EP ID EP343218
  • DOI 10.7206/jmba.ce.2450-7814.228
  • Views 177
  • Downloads 0

How To Cite

Marcin Kandora (2018). Managing Reverse Knowledge Flows in Routine Replication Programs: The Case of Global Manufacturing ERP Template Rollout. Journal of Management and Business Administration. Central Europe, 26(2), 47-75. https://www.europub.co.uk/articles/-A-343218