The
Role of Supply Chain Management Practices (SCMPs) on Supply Chain Operational
Performance (SCOPer) in Automobile Industry in India
Jagdeep Singh
PhD
Scholar
Pacific
Academy of Higher Education and Research University, Udaipur
Shivoham Singh
Associate
Professor
Pacific
Academy of Higher Education and Research University, Udaipur
Gyaneshwar Singh Kushwaha
Assistant
Professor
Maulana
Azad National Institute of Technology, Bhopal
ABSTRACT
In the modern era of competition and
varying business conditions in the twenty first century, automobile OEMs are
facing issues such as shift of BSI-IV engines to BSI-VI engines, demand crisis,
economic slowdown, and global covid-19 pandemic and at the same time,
consumer’s expectations are increasing. These things have put a lot of pressure
on automobile industry to cater the fast and changing needs of the consumers at
competitive price. In the automobile industry, normally vehicles are designed
& build to keep in mind the global demand as well to avoid creating a brand
new setup for global demand and hence its supply chains have become more
complex. The recent economic slowdown in India has put pressure on automobile
industry OEM’s as well as supplier’s top leadership to make right decisions
about their supply chains for improved performance. During the exploration of
the literature, it was also found that using the various supply chain
management (SCM) practices improves supply chain operational performance
(SCOPer) and hence supply chain’s productivity, profitability, reliability,
visibility and efficiency etc. Hence, best SCM practices implementation is
essential for the organization to grow & sustain with competition. Few gaps
were found during the literature review such as lack and effectiveness of existing
SCM practices and continuous monitoring. The objective of the research was to
check whether supply chain management practices (SCMPs) improve the supply
chain’s operational performance (SCOPer) or not. To achieve the objective, the
role of Information and Communication Technologies (ICTs) is vital as it is
associated directly or indirectly throughout the supply chain pipeline.
The
research found that the companies which were carefully monitoring and
implementing the SCMPs effectively had improved their supply chain operational
performances. This research could further be explored in other
sectors/industries.
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Keywords: Automobile, SCMPs, SCOPer, OEM, SCM, SCM Practices, Supply Chain, Supply Chain
Management
Introduction
It is well known
that SCM has evolved as a new dimension in the field of management. In the
modern era of competitive world, companies are trying to achieve strategic competiveness
over their competitors through accomplishment of Modern SCM Practices (MSCMPs).
Supply chain management (SCM) is "the systemic, strategic
coordination of the traditional business functions and the tactics across these
business functions within a particular company and across businesses within the
supply chain, for the purposes of improving the long-term performance of the
individual companies and the supply chain as a whole." It has also been
defined as the "design, planning, execution, control, and monitoring of
supply chain activities with the objective of creating net value, building a
competitive infrastructure, leveraging worldwide logistics, synchronizing
supply with demand and measuring performance globally." The goal of SCM is
to achieve greater profitability by value addition and creating efficiencies,
thereby increasing customer satisfaction” (Chopra, et. al., 2016). Successful supply chain
management requires many decisions relating to the flow of product, funds and
related information. Within a firm, all supply chain activities belong to one
of three macro processes: CRM, ISCM, and SRM. Integration among the three macro
processes is crucial for successful supply chain management (Chopra, et. al., 2016). Fluctuating
market demands, competition, and growing customer expectations & requirements
have led to pressure on supply chains. Normally, SCM involves in managing the
inflow and outflow of goods, services and related information from producers, to
consumers (Christopher, 2005). Many earlier studies show positive relationship
between operational performance attributes (Larson and Sinha, 1995). (Koh et al., 2006) found that SCM practices
controls operational performance as well as SCM related organizational
performance. It was also found that the higher the level of operational
performance, the higher the level of SCM related organizational performance.
York and Miree (2004) stated that ‘non financial’ performances like improved
quality, innovativeness and resource planning should actually reduce costs, and
hence have a direct positive effect on measures of financial performance.
Increased quality helps to retain current customers and create greater customer
loyalty which in return could increase market share and organizational
performance (Rust et al., 1994). It
imperative that Increase in operational performance will lead to enhanced
organizational performance
The significant
role of supply chain management (SCM) in enhancing the automotive performance cannot
be diminished. Many research companies like IBM and individual researchers like
Gunasekaran and Ngai, Hugo etc. have acknowledged the role of supply chains as
foundation of competitive advantage to the automotive industry. Today, SCM is
an integrated part of the businesses to enhance the end customer satisfaction
and hence firm’s success. Efficient & effective supply chain management
ensures that the right data is in place, for right forecast, at right
resources, to produce right product, in right condition, in right quantity, are
delivered to the right place, at the right time, at right cost. In supply chain
management, these rights can be called the nine rights (9Rs) (Singh, et al., 2019).
Normally, the
automobile industry has been acknowledged as a key driver of growth of a
nation’s economy and is a significant contributor to the global economy. The
automobile has been described as ‘both a form and function’ based product
involving high level of engineering as well as being positioned as a fashion
product. The industry has appropriately been called as the industry of
industries as it uses outputs of nearly all manufacturing industries mining,
steel etc. till after market, insurance, finance, etc.
The
main objective of the research was “to understand the
impact of SCM practices on supply chain operational performance of automobile
companies in India”.
What is Automobile OEM
Supply Chain (AOSC)?
A typical
automobile OEM supply chain may include supplier’s suppliers, suppliers,
manufacturers or focal firms, dealers and end customers which are shown as
below (Singh, J. et al., 2019):
Figure-1: Framework of Automobile
Supply Chain Management
Figure-1 is a framework
of automobile SCM and the framework states that there are two kinds of
activities involved; first one is system supply chain flow while other one is
physical supply chain flow. A system refers to virtual which does not have
physical presence (but acts & helps as integral part of physical supply
chain execution) such as information flow (e-documents such as invoice, packing
list, any other documents), finance flow (payments), and any other information
which are desired to execute seamless supply chain practices while other one
physical supply chain refers to the actual movement of physical products,
material or documents such as parts/components flow, invoice copy, airway bill/
bill of lading, packing list and many other documents required throughout the
SCM pipeline.
There are three
basic principles in developing strategies in supply chain that could assemble
the flavor of the customer expectations & needs (Taylor, 2004; Fawcett et al., 2007; Chopra et al., 2010). These include:
understanding the customer and degree of uncertainty; understanding the supply
chain capabilities; and evaluating the options and selecting the design.
Research Methodology
We conducted a
survey with well established questionnaire on various variables in the sub-area
of SCM which are supplier relationship management (SRM), customer relationship
management (CRM), logistics management (LM). It was examined the roll of
individual SCM practices on Supply chain operational performance (SCOPer). The
advancements of information technology have significantly contributed to the
development of sharing information throughout the Supply Chain pipeline. Continuous
exchanges of information enable Supply Chain practicenors to perform as a
single body (Stein & Sweat, 1998). To achieve the finest results, shared
information has to be adequate, accurate, credible, and timely (Li et al., 2004). Information sharing
affects performance in terms of improved customer responsiveness, decreased
costs, enhanced service levels, and reduced levels of complexity (Zhao et al., 2002).
This research
was developed to investigate the impact of SCM practices on the SCM operational
performance of auto companies.
A total of 110 manufacturing
locations of auto companies were targeted, a total of 80 responses were obtained
after a rigorous follow-up via F2F, online and over phone. The overall response
rate was 72.72 percent (80/110), which could be considered as very good for
subsequent analysis.
Measurement of
variables based on the questionnaire & data collected, divided in 19
sub-categories as explained below in figure-2.
Respondents were asked questions under three sub-categories of SCM
practices – SRM, CRM and LM. The scale chosen was likert’s five-point scale
which was ranging from 1 (least favorable) to 5 (most favorable). According to
the research paper, supply chain management (SCM) practices are considered in
three verticals of supply chain as supplier relationship management (SRM),
customer relationship management (CRM) and Logistics Management (LM). These all
practices have their own individual variables which may affect the outcomes of
SCM performance.
Figure-2
below has explained the supply chain management practices variables in details.
These are further explained individually as below:
Figure-2:
Individual Variables of SCM Practices
i.)
SUPPLIER RELATIONSHIP MANAGEMENT (SRM)
Supplier relationship
management has 5 variables namely Supply Chain Quality (SCQ), Supply Chain Cost
(SCC), Supply Chain Flexibility (SCF), Supply Chain Innovation (SCI), Supply
Chain Planning (SCP). These all variables are directly related to SRM and
impact its performance.
The contributions
of SRM in manufacturing systems are numerous and difficult to summarize so
easy. The supply chain flexibility, quality, cost, planning and innovation as
operational factors impacting upon a manufacturing system’s performance yet
with the increasing complexity in today’s supply chains it is argued that these
sub-variables of manufacturing systems in a supply chain should be regarded as
a variables contributing to a supply chain’s responsiveness &
profitability.
ii.)
CUSTOMER RELATIONSHIP MANAGEMENT (CRM)
Customer relationship
management has 8 variables namely Customer Query Response (CQR), Operational
Performance Measurement (OPM), Supply Chain Reliability (SCR), Forecast
Accuracy & Profitability Measurement (FAPM), Customer Relationship
Management System (CRMS), Flexibility in Supply Chain (FSC), Consistency in
Supply Chain (CSC), Visibility in Supply Chain (VSC). These all variables are
directly related to CRM and impact its performance.
All above sub-variables
are desired to be monitored & tracked to enhance the satisfaction, trust
and the relationship across all levels.
iii.)
LOGISTICS MANAGEMENT
Logistics management
has 6 variables namely Logistics Management Cost (LMC), Operational Performance
(OP), Total Transportation Cost (TTC), Total Distribution Cost (TDC), Process
Integration (PI), Logistics Management Efficiency (LME). These all variables
are directly related to LM and impact its performance.
All above sub-variables
are desired to be monitored & tracked to enhance the efficiency,
improvement in various costs and process improvements among all stake holders.
Ultimately, it will improve the profitability to all stake holders.
RESEARCH MODEL AND HYPOTHESIS
The Research Model – There
are two models created from the research as follows:
Model: Impact of SCM Practices on Supply Chain Operational
Performance
Figure-3: A Model of the Roll of Supply Chain Management
Practices (SCMPs) on Supply Chain Operational Performance (SCOPer)
A.) The Research
Hypothesis
A research hypothesis is a specific, clear,
and testable proposition or predictive statement about the possible outcome of
a scientific research study based on a particular property of
a population, such as presumed differences between groups on a particular
variable or relationships between variables. There were 3 hypotheses to be
tested as below:
Hypothesis 1 (H01): There is no difference in the mean opinion about supplier
relationship management (SRM) of ‘agreement and adoption continuum.
Hypothesis 2 (H02): There is no difference in mean opinion about customer
relationship management (CRM) of ‘agreement and adoption continuum.
Hypothesis 3 (H03): There is no difference in the opinion about logistics
management (LM) of ‘agreement and adoption continuum.
B.) Correlation Test
Correlation of Supply Chain
Management Practices (SCMPs) to be tested on Supply Chain Operational
Performance (SCOPer)
RESULTS AND DISCUSSION
The SCM
practices with the highest level of usage by the sample firms included Supplier
relationship management which is factored in further such as Supply Chain
Quality (SCQ), Supply Chain Cost (SCC), Supply Chain Flexibility (SCF), Supply
Chain Innovation (SCI), Supply Chain Planning (SCP), customer relationship
management factored as Customer Query Response (CQR), Operational Performance
Measurement (OPM), Supply Chain Reliability (SCR), Forecast Accuracy &
Profitability Measurement (FAPM), Customer Relationship Management System
(CRMS), Flexibility in Supply Chain (FSC), Consistency in Supply Chain (CSC),
Visibility in Supply Chain (VSC), and finally Logistics management which is factored as Logistics Management Cost
(LMC), Operational Performance (OP), Total Transportation Cost (TTC), Total
Distribution Cost (TDC), Process Integration (PI), Logistics Management
Efficiency (LME). Sub factors are grouped together and representing in 3
categories as SRM, CRM and LM.
There are two
tests were conducted as below:
P.) T-Test
Q.) Coefficient of Correlation
P.) T-Test
Table-1: Hypotheses – t-test Results
Results of hypothesis testing are given below:
T-Test |
H0 (Null Hypo.) |
H1 (Alternate Hypo.) |
There is no difference in mean opinion about SRM of agreement
and adoption |
0.000000000 |
Accepted |
There is no difference in
mean opinion about CRM of agreement and adoption |
0.000000000 |
Accepted |
There is no difference in
mean opinion about LM of agreement and adoption |
0.000000000 |
Accepted |
Table-1
is showing the results of the t-test and the interpretation of the table-1 is
given below:
Hypothesis 1 (H01): There is no difference in the mean opinion about supplier
relationship management (SRM) of ‘agreement and adoption continuum. Hence null
hypothesis is rejected.
Hypothesis 1 (Ha1): There is a significant difference in the opinion about
supplier relationship management (SRM) of ‘agreement and adoption continuum.
Hence alternate hypothesis is accepted.
Hypothesis 2 (H02): There is no difference in mean opinion about customer
relationship management (CRM) of ‘agreement and adoption continuum. Hence null
hypothesis is rejected.
Hypothesis 2 (Ha2): There is a significant difference in the opinion about
customer relationship management (CRM) of ‘agreement and adoption continuum.
Hence alternate hypothesis is accepted.
Hypothesis 3 (H03): There is no difference in the opinion about logistics management
(LM) of ‘agreement and adoption continuum. Hence null hypothesis is rejected.
Hypothesis 3 (Ha3): There is a significant difference in mean opinion about
logistics management (LM) of ‘agreement and adoption continuum. Hence alternate
hypothesis is accepted.
In all
three cases (SRM, CRM, and LM), the null hypothesis (H0) was
rejected which implies that alternate hypotheis (H1) was accepted.
This relationship shows that there is a close relation between the population
and the sample, that is, there is a postive relationship between the supply
chain management practices (SRM, CRM, and LM) and the supply chain operational
performance (SCOPer)
Q.) Coefficient of Correlation
The dictionary meaning of
correlation is ‘a mutual relationship’ or ‘connection between two or more
things. The coefficient of correlation results are as below in table-2.
Table-2: Correlation of Supply Chain Management Practices
(SCMPs) on Supply Chain Operational Performance (SCOPer)
CORRELATION OF SCMPs ON
SCOPer |
|
Correlation of Supplier Relationship Management (SRM) on Supply
Chain Operation Performance (SCOPer) |
0.60 |
Correlation of Customer Relationship Management (CRM) on Supply
Chain Operation Performance (SCOPer) |
0.68 |
Correlation of Logistics Management (LM) on Supply Chain Operation
Performance (SCOPer) |
0.77 |
Table-2 shows the results of the
coefficient of correlation and the interpretation is as below:
a.
There is a high correlation
between Supplier Relationship
Management (SRM) and Supply Chain Performance.
b.
There is a high correlation
between Customer Relationship
Management (CRM) and Supply Chain Performance.
c.
There is a high correlation
between Logistics Management (LM)
and Supply Chain Performance.
Again,
In all three cases (SRM, CRM, and LM), there is a high correlation between
SCM practices and supply chain
operational performance (SCOPer). It implies that high level of SCM practices
improves high level of Supply Chain Operational Performance.
CONCLUSION
This research provides
observed explanation for a framework that identifies three groups of SCM
practices and elaborates the relationship between SCMPs and SCOPer in the
context of auto companies in India. The required answer to the research
objective was as “Auto companies with high level of SCM practices have a high
level of operational performance”. The model was tested using t-test and
correlation methods. SCM practices were assembled in 3 main factors: SRM, CRM
and LM. The results signify that all three factors of SRM, CRM and LM have
direct positive and significant impact on supply chain operational performance.
This research offers a few executive implications such as
a.) developing,
monitoring and controlling a group of SCMPs and by demonstrating its value in improving
SCOPer of auto companies.
b.) the
investigation of the relationship between SCMPs and SCOPer indicates that SCMPs
are directly proportional to SCOPer of Auto companies.
c.) the findings
of this research tend to support the view that the implementation of SCM
practices has a significant impact on the operational performance of Auto
companies in India. Researchers can use the findings herein to generate ideas
for future studies, and top managers can glean important knowledge about how
effective SCM impacts organizational performance.
LIMITATIONS
Limitation
of the research was its limited focus on Indian auto companies. The data was
collected from single respondents from individual factory which might lead to a
response bias. This study is conducted for automobile industry (includes two
wheelers – scooter & motor cycle, 3 wheelers – auto rickshaw &
loader, four wheelers – passenger
vehicle, loaders/light commercial vehicle and tractor, Bus and truck) which
includes automobile factories operating in India. Study does not include
construction vehicles etc. This study may not be useful for other industries
such as paint, FMCG etc. however validity could be further explored in other
industries.
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