Purpose-This paper explores the Critical Success Factors (CSFs) of Enterprise Resource Planning (ERP) system implementation at Small and Medium sized Enterprises (SMEs). Design/methodology/approach-Five case studies of Canadian SMEs were conducted. They included interviewing individuals from five roles at each organization and gathering project documents. Following an evaluation of each project"s success (within-case analysis), cross-case analysis was conducted to elicit influential and distinctive factors.
It has been over a decade since Rosenblatt published his seminal paper on modelling the dynamic facility layout problem (DFLP). Since then, there have been improvements to Rosenblatt s original dynamic programming model. Alternate solution methods have also been proposed. However, no comprehensive review of the research in the DFLP has been undertaken. In this paper we categorize the different works of research that have followed and discuss them. They include improved and more flexible solution methods, fathoming procedures, bound determinations and, method comparisons.
Purpose
The purpose of this paper is to conduct a large-sample empirical investigation of how relational capital impacts bullwhip at the supplier.
Design/methodology/approach
The study uses mandatory disclosures in regulatory filings of US firms to identify a supplier’s major customers and constructs empirical proxies of supply chain relational capital, i.e., length of the relationship between suppliers and customers and partner interdependence. Multivariate regression analyses are performed to examine the effects of relational capital on bullwhip at the supplier.
Findings
The findings show that bullwhip at the supplier is greater when customers are more dependent on their suppliers, but is reduced when suppliers share longer relationships with their customers. The results also provide additional insights on several firm characteristics that impact supplier bullwhip, including shocks in order backlog, selling intensity and variations in profit margins. Furthermore, the authors document that the effect of supply chain relationships on bullwhip tends to vary across industries and over time.
Originality/value
The study employs a novel data set that is constructed using firms’ financial disclosures. This large panel data set consisting of 13,993 observations over 36 years enables thorough and robust analyses to characterize supply chain relationships and gain a deeper understanding of their impact on bullwhip.
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