Logistics service quality in an emergent market in Latin America

DOIhttps://doi.org/10.1108/IJLM-11-2020-0433
Published date22 September 2021
Date22 September 2021
Pages79-101
Subject MatterManagement science & operations,Logistics
AuthorMarek Michalski,José Luis Montes-Botella
Logistics service quality in an
emergent market in Latin America
Marek Michalski
College of Business Administration, San Francisco de Quito University,
Quito, Ecuador, and
Jos
e Luis Montes-Botella
Applied Economics I, Rey Juan Carlos University, Madrid, Spain
Abstract
Purpose This paper aims to determine how the level of logistics service quality facilitates logistics
performance in emerging markets. The authors chose Ecuador because it is an emerging economy with
relatively stable economic development, making it an attractive research platform in a challenging
environment for logistics services. The authors empirically test the influence on performance and one another
of five dimensions of service quality: reliability, responsiveness, empathy, assurance and tangibility.
Design/methodology/approach SERVQUAL and partial least squares structural equation modeling was
undertaken to test the proposed relationships empirically.
Findings The performance was positively related to assurance, tangibility and reliability but negatively
related to the responsiveness and empathy dimensions. The findings suggest the order of priority for
improvement actions. The findings highlightthat the existing relationships in developed markets do not apply
in the same manner in emerging markets.
Research limitations/implications Although representative, data were only collected in one specific
market.
Practical implications The results reveal a mix of activities that managers should develop to improve the
services they provide, relationships with customers and performance.
Originality/value Few other works have explored logistics service quality in South Americas emerging
markets. According to contingency theory, various combinations of service quality dimensions can influence
performance, suggesting that managers should aim for optimal fit between dimensions according to internal
and external situations. An efficient and effective combination in one case may be unsuccessful in another. The
approaches presented can improve relationships within global supply chains, especially regarding logistics
management.
Keywords Logistics service quality, SERVQUAL model, Performance, South America
Paper type Research paper
1. Introduction
With globalization characterized by unpredictable new market trends and unstable customer
behaviors, competence-based on-time logistics has significantly changed business operations
(Bouncken et al., 2015). Consequently, logistics management is becoming a critical component
of organizational management processes and conte mporary supply chains (Sanchez
Rodrigues et al., 2015).
In many cases, organizations make necessary changes to their logistics activities to
maintain or increase their competitiveness. Thus, logistics is a strategic tool that allows
companiestofaceadversesituations, create competitive advantages, increase customer
value and achieve collaborative advantage within supply chains (Lee et al., 2016). From
this perspective, logistics is a proactive means to take advantage of a challenging
environment.
Logistics operates on two planes. The first is the proper organization structure and the
design of a supply chain network to tackle the rising logistics costs and complexity of
operations management in current conditions (Michalski et al., 2017). The second is the
strategic deployment of logistics activities to increase performance. These two planes are not
exclusive: choosing a strategy for designing the structure and management processes could
Logistics
service quality
79
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 3 August 2020
Revised 30 March 2021
7 July 2021
23 August 2021
Accepted 29 August 2021
The International Journal of
Logistics Management
Vol. 33 No. 1, 2022
pp. 79-101
© Emerald Publishing Limited
0957-4093
DOI 10.1108/IJLM-11-2020-0433
simultaneously improve the performance and competitiveness of logistics activities (Fugate
et al., 2010;Stank et al., 2001).
These outcomes can only be realized if organizations provide logistics activities of
sufficient quality to meet customersexpectations. The quality of logistics activities is widely
recognized as key to organization profitability and customer satisfaction (Ding et al., 2014;
Juga et al., 2010;Mauri et al., 2013). However, managers face the ongoing problem of knowing
to what extent the offered and provided logistics services meet customersexpectations. To
solve this problem, the quality of logistics services must be continuously measured (Rafele,
2004) and compared against sectorial standards (Thai et al., 2014), reflecting best practices for
managing these processes.
Organizations assess the quality of the logistics services they provide to customers
(Kilibarda et al., 2016). Although this is valuable knowledge, improving quality is impossible
without knowing if internal processes are sufficient to attain the desired quality level. High
logistics service quality (LSQ) may increase responsiveness to environmental changes due to
improved visibility and operational knowledge (Lee et al., 2016), especially when there is high
instability in external relationships.
According to contingency theory, it cannot expect to define one universal set of optimal
recommendations for all organizations (Ginsberg and Venkatraman, 1985), and managers
must consider various contingencies that affect logistics performance in the different
business environments. As global activity continues rising, logistics is increasingly viewed
as integral to diversifying and shortening supply chains and simplifying their complex
management processes. Accordingly, logistics services will be differentiated by their quality
level and acquire high value, especially in short supply chains.
This operational challenge is especially important for global and Latin American firms.
The changes in business markets and the need to operate with shorter supply chains could be
considered an excellent opportunity for them. However, most studies of logistics services
have focused on developed markets (Rafiq and Jaafar, 2007;Rahman, 2006;Saura et al., 2008;
Thai, 2013). Given the business opportunity for Latin American firms, research on how to
approach quality in business processes is especially timely (Amat-Lefort et al., 2020;Paul and
Mas, 2019;Su and Sampaio, 2012;Vergara and Maza, 2018). This gives rise to the following
research questions:
RQ1. How can logistics performance be improved in emerging markets of South
America?
RQ2. What combination of quality dimensions is associated with superior logistics
performance in emerging markets of South America?
In recent years, most Latin American countries have strengthened export-led growth
strategies. The existing logistics framework underpins these strategiessuccess by providing
the infrastructure necessary to move products and services. However, success is highly
dependent on logistics costs. The level of logistics costs is directly related to the quality of
services provided. The costs of second deliveries, delays and inaccurate order preparation are
especially relevant.
The South American region still lags in developing an effective logistics infrastructure
and framework. Macroeconomic stability is necessary to attract investment, while access to
markets is essential to developing a serious export strategy (Guasch, 2011). Ecuador is a
strategic and diverse market with high potential for developing logistics activities involving
especially multimodal transport (air, sea and land). In 2019, logistics services worth US$1,238
million were demanded, which local companies could not fully cover. This unmet demand
allows international logistics companies to invest in the country. Due to its location, Ecuador
could be a platform to access the main export markets of the United States or Europe for
IJLM
33,1
80

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