The impact of supply chain fit on business and innovation performance in Brazilian companies

Date20 August 2020
Pages141-167
DOIhttps://doi.org/10.1108/IJLM-01-2020-0040
Published date20 August 2020
Subject MatterManagement science & operations,Logistics
AuthorRicardo Zimmermann,Luis Miguel D.F. Ferreira,Antonio Carrizo Moreira,Ana Cristina Barros,Henrique Luiz Correa
The impact of supply chain fit on
business and innovation
performance in
Brazilian companies
Ricardo Zimmermann
INESC TEC, Porto, Portugal
Luis Miguel D.F. Ferreira
Department of Mechanical Engineering, CEMMPRE, Univ Coimbra,
Coimbra, Portugal
Antonio Carrizo Moreira
DEGEIT and GOVCOPP, Universidade de Aveiro, Aveiro, Portugal
Ana Cristina Barros
INESC TEC, Porto, Portugal, and
Henrique Luiz Correa
Crummer Graduate School of Business, Rollins College, Winter Park, Florida, USA
Abstract
Purpose This paper investigates the effect of the fit between supply and demand uncertainty (SDU) and
supply chain responsiveness (SCR) (SC fit) on business and innovation performance in Brazilian companies.
Design/methodology/approach The study presented an analysis carried out on an empirical study based
on a sample of 150 manufacturing companies. Business and innovation performance of companies with
different types of SC fit ( highhigh and lowlow fits) and misfit (positive and negative) are compared and
discussed.
FindingsThe results indicated that SC fit had a positive effect on both business and innovation performance.
Further analyses suggested that companies with SC fit present similar business performance, independent of
the level of SDU that characterizes the environment where they compete, while companies in environments
with higher levels of uncertainty tend to present superior innovation performance. Companies with positive
and negative misfit present similar performance.
Originality/value An analysis of the literature showed that there is no consensus when it comes to the
definitions and measurements of SC fit. The paper investigates the effects of SC fit on businessand innovation
performance, while previous empirical studies have mainly addressed its impact on financial performance.
Moreover, this study compares the effects of two types of fit and two types of misfit and assesses SC fit in
Brazilian manufacturing companies, analyzing the context of an under-researched reality.
Keywords Supply chain fit, Supply and demand uncertainty, Supply chain responsiveness, Business
performance, Innovation performance, Brazil
Paper type Research paper
1. Introduction
The importance of supply chain management (SCM) and its effects on performance are
broadly recognized by practitioners and researchers. Consequently, the challenging task of
The impact of
supply chain fit
141
This work is financed by National Funds through the Portuguese funding agency, FCT Fundaç~
ao para
aCi
^
encia e a Tecnologia, within project UIDB/50014/2020. This research is sponsored by FEDER funds
through the program COMPETEPrograma Operacional Factores de Competitividadeand by
national funds through FCTFundaç~
ao para a Ci^
encia e a Tecnologia , under the project UIDB/00285/
2020.
The current issue and full text archive of this journal is available on Emerald Insight at:
https://www.emerald.com/insight/0957-4093.htm
Received 29 January 2020
Revised 25 June 2020
3 August 2020
Accepted 4 August 2020
The International Journal of
Logistics Management
Vol. 32 No. 1, 2021
pp. 141-167
© Emerald Publishing Limited
0957-4093
DOI 10.1108/IJLM-01-2020-0040
designing the right supply chain (SC) according to the internal and external characteristics of
companies is a topic that has been widely addressed by researchers and managers (Fisher,
1997;von Falkenhausen et al., 2019;Zimmermann et al., 2020). More recently, the importance
of integrating supply and demand characteristics and SC features gave rise to the concept of
SC fit (Wagner et al., 2012;Gligor, 2017), derived from Fishers (1997) seminal work and from
the concept of strategic fit (Venkatraman, 1989). SC fit refers to the compatibility of the
demand characteristics of the environment where companies operate, considering their
products and services, with their SC design, strategies and practices (Esper et al., 2010;
Wagner et al., 2012;Gligor, 2017).
Previous empirical studies have discussed and tested the effect of SC fit on performance,
suggesting that the higher the degree of SC fit, the higher the performance of companies
(Wagner et al., 2012;Hallavo, 2015;Gligor, 2016,2017). Most of these studies have discussed
and assessed the effects of SC fit on financial performance (Wager et al., 2012;Gligor, 2016,
2017), while its effects on other relevant aspects of companiesperformance are still under
research. The aim of this paper is to specifically address business and innovation
performance using the concept of SC fit, which is understood as the degree of compatibility
between supply and demand uncertainty (SDU) and SC responsiveness (SCR), which would
complement previous knowledge, a need defended by Wagner et al. (2012). This paper also
compares the effects of two types of fit ( high uncertaintyhigh responsiveness, highhigh fit
on performance and conversely, low uncertaintylow responsiveness, lowlow fit) and two
types of misfit ( positive and negative misfitcharacterized by high/low uncertainty and low/
high responsiveness). A part of this investigation has been done as a complement to previous
studies that assessed the effect of SC fit on performance (Wagner et al., 2012;Gligor, 2016,
2017;Luo and Yu, 2016;Sabri, 2019), contributing to the generalizability (external validity) of
the previous findings, by assessing similar subjects under different conditions (Goldsby and
Autry, 2011). Moreover, as stated by Goldsby and Autry (2011) and by van Weele and van
Raaij (2014), replication of previous studies should be more frequent in SCM research as it
helps to increase the validity, credibility and relevance of theory developed in the field.
Additionally, Block and Kuckertz (2018) argued that replication studies, defined as studies
that put published empirical results to an additional empirical test(p. 355), are needed to close
the gap between theory and practice.
Therefore, this study contributes by adding to existing knowledge regarding the effect of
SC fit on performance by pursuing the following main research objectives: (1) to analyze the
impact of SC fit on business and innovation performance; (2) to compare the effects of two
types of fit ( highhigh and lowlow fits) and two types of misfit (positive and negative); (3) to
assess SC fit in companies located in a country that is not part of the group of the most highly
industrialized countries in the world and that has not yet received significant attention from
researchers when it comes to SC fit. Further, few studies have shown the particular
aforementioned features and their effects on SCM in Latin America (previous studies on SC fit
have mainly focused on companies in Europe and the USA). The roles of environmental
uncertainty and company size are also considered. The research question that will be
addressed in the present paper is how does the fit between SDU and SCR (SC fit) impact
business and innovation performance?
This paper contributes to theory as it analyzes a set of characteristics related to SC fit that
have not been tested together before and by replicating and extending previous studies. This
paper also contributes to practice as its results may help managers perform the challenging
task of achieving/improving their companys degree of fit between supply and demand
characteristics and SC features. A set of recommendations is presented following the
guidelines proposed by Svanberg (2020) in order to ensure its relevance and feasibility.
The resource-based view (RBV) and contingency theory (CT) are used as the theoretical
foundations for this paper. The RBV is widely applied in strategic management literature and
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