The value of supply chain integration in the Latin American agri-food industry: trust, commitment and performance outcomes

Published date25 August 2020
Date25 August 2020
Pages281-301
DOIhttps://doi.org/10.1108/IJLM-02-2020-0097
Subject MatterManagement science & operations,Logistics
AuthorManuel Jesus Ramirez,Ivonne Eliany Roman,Edgar Ramos,Andrea Stefano Patrucco
The value of supply chain
integration in the Latin American
agri-food industry: trust,
commitment and
performance outcomes
Manuel Jesus Ramirez, Ivonne Eliany Roman and Edgar Ramos
Department of Industrial Engineering Program,
Universidad Peruana de Ciencias Aplicadas, Lima, Peru, and
Andrea Stefano Patrucco
Department of Marketing and Logistics,
Florida International University College of Business, Miami, Florida, USA
Abstract
Purpose This paper aims to explore the antecedents and performance outcomes of supply chain integration
in the agri-food industry in Latin America, a context that the literature on supply chain management has not
extensivelyaddressed. The quinoa supply chain, an industry that has encountered a boost in market demand in
the past year, is selected as the unit of analysis. Supply chain integration dynamics are analyzed to provide
recommendations about integration strategies and benefits in the agricultural sector.
Design/methodology/approach A conceptual model was designed in this study, which includes the
drivers (i.e. trust and commitment) and outcomes (i.e. operational and economic performance) of supply chain
integration. The relationships were verified through a unique survey, the data of which were collected from 79
respondents operating at different levels of the Peruvian quinoa supply chain (i.e. suppliers, producers and
customers). The proposed hypotheses were tested through the partial least squares (PLS) regression.
Findings The results underscore the relevance of trust and commitment as enablers of supply chain
integration initiatives in the agri-food industry. These factors are particularly essential for involving the
farmers who are the most upstream actors in the supply chain and characterized by unstructured
organizations. A high level of integration in these types of supply chain enhances the capacity to improve
operational performance, which in turns positively affects the main economic indicators.
Originality/value This study contributes to the discussion of supply chain integration in the agri-food
industry, which remainsunexplored thus far. It relies on a multitier collection of responses, which is extended to
all the levels of the quinoa supply chain, thereby providing the study with a unique depth of analysis.
Furthermore, this work contributes to the ongoing discourse on the performance impact of supply chain
integration, which several SCM scholars have recently questioned.
Keywords Agri-food supply chain management, Supply chain integration, Supply chain performance
Paper type Research paper
1. Introduction
Supply chain management (SCM) refers to the integration of key business processes from end
users to suppliers, providing products, services and information that add value to customers
and other stakeholders (Lambert and Cooper, 2000;Mentzer et al., 2001). This definition
recognizes the importance of integration between partnersfor a successful SCM, and this
topic has been extensively addressed by the SCM literature (e.g. Frohlich and Westbrook,
2001;Richey et al., 2009;Chen et al., 2011;Leuschner et al., 2013;Ralston et al., 2015;Shou et al.,
2018;Wiengarten et al., 2019;Mora-Monge et al., 2019).
Flynn et al. (2010) define supply chain integration (SCI) as the degree to which a
manufacturer strategically collaborates with its SC partners and collaboratively manages
IJLM
32,1
284
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 16 February 2020
Revised 31 May 2020
Accepted 10 July 2020
The International Journal of
Logistics Management
Vol. 32 No. 1, 2021
pp. 284-304
© Emerald Publishing Limited
0957-4093
DOI 10.1108/IJLM-02-2020-0097
intra- and inter-organizational processes, in order to achieve effective and efficient flows of
products and services, information, money and decisions, to provide maximum value to the
customer.According to this perspective, SCI represents a possible form of collaboration
between the actors in the chain, aimed at establishing intrafirm and interfirm connections
through the alignment of objectives, information transparency and linkages between process
flows (Lii and Kuo, 2016). In modern markets characterized by intense pressure to exceed
customer expectations, integration with supply chain partners becomes a critical element for
achieving sustained competitive advantages, as the ultimate goal of SCI is to maximize the
value delivered to the customers through the facilitation of a seamless flow of materials and
information across the supply chain (Kim, 2009;Prajogo and Olhager, 2012).
Several authors have focused on the dynamics of SCI, including different levels of
integration (e.g. Wiengarten and Longoni, 2015;Robinson et al., 2018), drivers and enablers
(e.g. Richey et al., 2011;Alfalla-Luque et al., 2013;Leuschner et al., 2013;Zhao et al., 2013;Mora-
onge et al., 2019) and an extensive discussion of the links between SCI and performance (e.g.
Fabbe-Costes and Jahre, 2008;Zhao et al., 2015;Ataseven and Nair, 2017;Feyssa et al., 2019).
Considering the richness of the theoretical and practical findings provided by the
literature, SCM scholars are challenged to discover the other aspects that can be discussed
about integration in supply chain networks.
Wiengarten et al.s (2019) recent contribution attempts to respond to this challenge by
providing additional insights into this topic. The authors raise the question that the principle
stating that a higher SCI equals performance improvementmight not always be true; SCI is
a complex and multifaceted process, and the relationship between SCI and performance has
different nuances that are connected to several contingent factors, such as the competitive
priorities of companies in the network and the nature of the industry. For the former, the
recent discussion in the SCM literature is largely focused on the relationship between SCI and
the capacity of the supply chain to achieve sustainability objectives (e.g. Brockhaus et al.,
2013). The creation of sustainable supply chains requires an alignment of objectives between
all the partners in the network, who must operate their processes following shared
environmental, social and ethical principles (e.g. Wu, 2013;Herczeg et al., 2018). This process
in turn entails a strict integration and interconnection between intracompany processes.
Recent studies (e.g. Wiengarten and Longoni, 2015;Shee et al., 2018;Kang et al., 2018)
explicitly demonstrate that the development of a certain level of SCI represents a necessary
condition for designing and operating in supply chain networks in which profitability and
environmental and social effects are balanced.
In connection with this aspect and the aforementioned second factor, the volume of
sectoral studies in the SCM literature has grown, specifically research on the role of
integration in sustainable supply chains, with consideration of project-based industries such
as construction (e.g. Dallsega and Rauch, 2017;Zeng et al., 2018). However, less attention has
been given to the agri-food industry where the intense pressure to be sustainablein
purchasing, production and logistics increases the need for integration with other supply
chain members (Beske et al., 2014;Mena et al., 2014). In this context, SCI is difficult to achieve
due to environmental uncertainty (e.g. unforeseen climate changes and water scarcity),
market complexity (e.g. price volatility and high fluctuations in demand), process complexity
(e.g. perishable products, risk of logistical interruptions and limited capacity), need to
coordinate between a large set of heterogenous actors (e.g. isolation of producers from
markets) and multiple operational and regulation objectives (Jraisat et al., 2013;Bourlakis
et al., 2014;Sharma et al., 2017;Dania et al., 2018). Findings on supply chain network
integration in the agri-food industry are limited, and they either adopt a theoretical
perspective or consider the influence of integration on performance (e.g. Hobbs and Young,
2000;Doukidis et al., 2007;van Donk et al., 2008;Eksoz et al., 2014;Tan et al., 2017;Kumar
et al., 2017). Nonetheless, in the agri-food industry, the improvement of the integration of
Integration in
the agri-food
supply chain
285

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