Assessing Business Performance of the Traditional Market Trader:
The Role of Buyer-supplier Relationship and Dynamic Capabilities
Moh Farid Najib
a
Business Administration Department, Bandung State Polytechnic, Indonesia
Keywords: Buyer-Supplier Relationship, Dynamic Capabilities, Business Performance.
Abstract: Traditional market competition is not only facing the development of modern markets, and competition
among traders. Therefore, the importance of buyer-supplier relations and the dynamic capabilities of traders
is driving their business performance. The purpose of this study is to empirically examine the impact of the
buyer-supplier relationship on business performance, and the mediating effect of dynamic capabilities. This
study is based on empirical data collected from a survey of 840 traditional market traders in West Java,
Indonesia on 69 traditional markets. Structural equation modelling (SEM) was used to test the research
question by using the two stages. The first measuring the model by confirming the loading factor, Cronbach’s
alpha, variance extracted, construct reliability and discriminant validity. Secondly, testing the structural
model. This study provides evidence that the business performance of traditional market traders is
significantly linked to the buyer-supplier relationship and dynamic capabilities. The buyer-buyer relationship
can build the dynamic capabilities of traditional market traders, which in turn can improve their business
performance. This research contributes to the literature by providing empirical evidence that buyer-supplier
relationship and dynamic capabilities of traditional market traders need to be continuously improved to ensure
the availability of products and the competitiveness.
1 INTRODUCTION
The buyer-supplier relationship is an essential
phenomenon in the context of industrial business
marketing management because it can provide the
partners with the opportunities to access important
resources for the incorporation and creation of value
(Lunnan & Haugland, 2008). In supply chain
management the role of the buyer-supplier
relationship is very important
(Bello et al., 2003; Dyer
& Chu, 2003; Najib et al., 2017). Buyer-supplier
relationships in this context refer to the "Business to
Business" construct. Thus, the important role of the
relationship of buyer-supplier is; to control the
diversity and utilization of knowledge, mobilizing
resources, and coordinating, in other words,
marketing and logistical perspectives, which means
that the relationship of buyer-supplier has been
identified as having a significant influence on buyer
satisfaction and being a significant measure to
anticipate the sustainability of the business
relationships (Daugherty et al., 1998). The buyer-
a
https://orcid.org/0000-0002-2064-6779
supplier relationship provides competitiveness for
companies (Prior, 2012), provides improvements in
the marketing process (Asare et al., 2013), and is a
key element of supplier relationships, including,
long-term relationships (Rajagopal & Rajagopal,
2009), can improve business performance (Ambrose
et al., 2010; Hsu et al., 2008; Najib et al., 2017).
Purchasing efficiency and optimization of operating
costs are a form of successful management of buyer-
supplier relationships and the overall supply portfolio
(da Silveira & Arkader, 2007; Ketchen Jr & Hult,
2007).
Therefore, to build the achievement of a good
form of relationship, dynamic capabilities must be
supported. Therefore, the importance of research on
dynamic capabilities because the business
performance of a company can be improved through
dynamic capabilities. The dynamic capability has a
significant positive effect on business performance,
although there is no strong empirical evidence in the
research literature that supports this idea (Helfat et al.,
2009; M. Hitt et al., 2001). The concept of dynamic
Najib, M.
Assessing Business Performance of the Traditional Market Trader: The Role of Buyer-supplier Relationship and Dynamic Capabilities.
DOI: 10.5220/0010743200003112
In Proceedings of the 1st International Conference on Emerging Issues in Humanity Studies and Social Sciences (ICE-HUMS 2021), pages 73-81
ISBN: 978-989-758-604-0
Copyright
c
2022 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
73
capabilities essentially has implications for the
capabilities of the company in utilizing resources
within the company but is also related to the renewal
and development of its capabilities (Najib et al.,
2017). The principle of dynamic capability is to
reconstruct and improve the core capabilities in
response to the dynamic market to improve the
performance and sustainability of competitive
advantage
(Dadashinasab & Sofian, 2014). An
understanding of the competitive value of market
orientation needs to be illustrated from the
perspective of dynamic capabilities (Eisenhardt &
Martin, 2000; Teece, 2007; C. L. Wang & Ahmed,
2007). The dynamic capabilities concept has
improved the view of resource-based by anticipating
the changing of company resources and ability
concerning the changing of environmental and allows
to identify the important specific processes for the
company or industry evolution
(Hou, 2008). A
strategy of streamlining responsibility can improve
business performance through developing and
improving a company's dynamic capability (Hervas-
Oliver et al., 2013).
This research focuses on traditional market traders
in Indonesia who are seen as small businesses in the
retail sector. The traditional market facing many
challenges in the midst of changing the map of retail
business competition in Indonesia. It’s because the
quality of modern market services shows better than
traditional markets (Najib & Sosianika, 2018). This
research aims to contribute in the field of respective
research in explaining, what is the relationship
between buyer-supplier relationships, dynamic
capabilities of business performance among
traditional market traders.
2 LITERATURE REVIEW
2.1 Buyer-supplier Relationship
The key elements of the buyer-supplier relationship,
such as; long-term relationships, communication,
cross-functional teams, and supplier integration
which are followed at different levels of the
transaction process (Rajagopal & Rajagopal, 2009).
The indicators of supplier relevance consist of four,
namely; trust, commitment, information sharing, and
idiosyncratic partner of investment (Prior, 2012). The
buyer-supplier relationships are built through, such
as; hones communication, task competence, quality
assurance, interactional courtesy, legal compliance,
and, financial balance (Gullett et al., 2009). The
buyer-supplier relationships are built through; trust,
commitment, communication, resource dependence,
adaptation, and uncertainty (Ambrose et al., 2010).
The conclusion (Najib et al., 2017) states that buyer-
supplier relationships are built through; contract of
agreement, cooperation norms, information
exchange, operational linkage, and adaptation by
seller and buyer.
2.2 Dynamic Capabilities
Dynamic capabilities as abilities that help parts in
expanding, modifying, and reconfiguring operational
capabilities while leading to new capabilities that are
more suitable for changing environments
(Pavlou &
El Sawy, 2011). Dynamic capability is defined as the
company's capability to integrate, build and
reconfigure internal and external competencies to
deal quickly with environmental changes (Zheng et
al., 2011). The core of dynamic capabilities is the
capability of organizations to develop, renew and
maintain various resources (including tangible,
intangible, and human resources) to create customer
value (Mauludin et al., 2013).
The dynamic capabilities can be achieved
through; sensing, learning, integration, and
coordination capability (Gathungu & Mwangi, 2012).
The dynamic capabilities over three dimensions,
namely; integration capability, power capability,
innovation capability (Tiantian, Gao; Yezhuang,
Tian; Qianqian, 2014). The dynamic capabilities
consist of; sensing, absorptive, integration, and
innovation capability (Hou, 2008; Najib et al., 2017).
2.3 Business Performance
Business performance is a fundamental of responsive
market orientation (RMO) and proactive market
orientation (PMO) (Voola & O’Cass, 2010). The end
result of an activity is performance (Thomas &
Hunger, 2012). The business performance is
fundamentally driven by the level of competition in
the market where the company chooses to operate,
which in turn is a function of the structural
characteristics of that part of the market (Morgan,
2012). Because, company performance generally
refers to organizational success, and success is
considered as achieving organizational goals. Thus,
company performance is important and the
determinants index to determine the efficiency and
effectiveness of the company (Najmabadi et al.,
2013).
Measuring business performance can be done by
waiting for market performance and financial
ICE-HUMS 2021 - International Conference on Emerging Issues in Humanity Studies and Social Sciences
74
performance (Hsu et al., 2008). The measurement of
business performance can be done by measuring
customer retention, sales growth, operating profit
margin, return on investment, and return on equity,
(Najmabadi et al., 2013), market share growth, sales
growth, and profitability (Najib et al., 2017). The
measured business performance through
measurements of average net profit growth, the value
of work received, the number of contracts received,
and the number of contracts renewed (Hussin et al.,
2014). The company's performance is something
important and a determining index to determine the
efficiency and effectiveness of the company
(Najmabadi et al., 2013).
2.4 Buyer-supplier Relationship,
Dynamic Capabilities, and Business
Performance
The buyer-supplier relationship has been identified a
significant effect on buyer satisfaction and it's a
measure of significance in anticipation of the
sustainability of business relationships (Daugherty et
al., 1998), and made a positive contribution to
business performance (Helfat et al., 2009; M. A. Hitt
et al., 2001). The buyer-supplier relationships are also
able to provide competitiveness for companies (Prior,
2012), provide improvements in the marketing
process (Asare et al., 2013), and as the key
components of supplier relationships, including long-
term relationships (Rajagopal & Rajagopal, 2009),
improving a business performance (Ambrose et al.,
2010; Hsu et al., 2008; Najib et al., 2017). The
management of the buyer-supplier relationship will
provide results which include; overall supply
portfolio, improved supply efficiency and optimal
operating costs
(da Silveira & Arkader, 2007;
Ketchen Jr & Hult, 2007).
The buyer-supplier relationship has a very
important role in supply chain management
(Bello et
al., 2003; Doney & Cannon, 1997; Dyer & Chu, 2003;
Sako & Helper, 1998). It can produce strategic
benefits, especially a deep relationship with the
interdependence of the company as a buyer or
supplier (Chanchai et al., 2015), then it can be utilized
to improve business performance (Barringer &
Harrison, 2000).
Therefore, capability in managing relationships is
an important one (Kale et al., 2002; Schreiner et al.,
2009; Y. Wang & Rajagopalan, 2015). The role of a
company's dynamic capabilities as an important
source of competitive advantage is also very
important. This dynamic capability has resulted in a
research focus on processes within the company. The
purpose of the research on dynamic capabilities is to
develop and renew its’ resource base to deal with
dynamic environmental changes (Hou, 2008; Pavlou
& El Sawy, 2011; Teece, 2007; Zheng et al., 2011).
Thus, the research hypothesis can be constructed as
follows;
H
1
: Buyer-supplier relationship is positively related
to business performance
H
2
: Dynamic capability is positively related to
business performance
H
3
: Buyer-supplier relationship is positively related
to dynamic capabilities
3 METHOD
3.1 Survey Instrument
The survey instrument was developed using a five-
point Likert scale (strongly agree, agree, neutral,
disagree, and strongly disagree). The operational
variables of each construct are the result of the
elaboration of theories, as follows: the supplier
relationship variable with 16 items is developed from
the results of the construct elaboration used by some
research such as (Ambrose et al., 2010; Gullett et al.,
2009; Najib et al., 2017; Prior, 2012; Rajagopal &
Rajagopal, 2009). Furthermore, the variable of
dynamic capabilities with 11 items was developed
from the results of the construct elaboration used by
(Gathungu & Mwangi, 2012; Hou, 2008; Najib et al.,
2017; Tiantian et al., 2014). And for business
performance variables with 13 items was developed
from the results of the construct elaboration used by
(Hsu et al., 2008; Hussin et al., 2014; Najib et al.,
2017).
3.2 Data Collection
The data used to test the proposed hypotheses were
collected from the results of a survey of 840 traders
in 69 traditional markets in West Java, Indonesia,
with 477 (56.6%) male respondents and 363 (43.2%)
male gender profiles, from the business experience
that 286 (34%) had more than 15 years, 191 (22.7%)
had between 10 years and 15 years, 185 (22%) had
between 5 years and 10 years, and 178 (21.2%) have
been less than 5 years. The education level of
respondents showed 141 (16.8%) had an elementary
school, 239 (28.5%) had a junior high school, 388
(46.2%) had a high school, 44 (5.2%) had graduated
diploma, and 28 (3, 3%) Bachelor's degree.
Assessing Business Performance of the Traditional Market Trader: The Role of Buyer-supplier Relationship and Dynamic Capabilities
75
Furthermore, the status of the kiosks used for selling
shows as many as 450 (53.5%) of their own and 390
(46.4%) of rent. Out of 840 respondents, 657 (78.2%)
had business licenses and 183 (21.8%) did not have
business licenses.
Structural equation modelling (SEM) was used to
test the research question by using the two stages. The
first measuring the model by confirming the loading
factor, Cronbach’s alpha, variance extracted,
construct reliability and discriminant validity.
Secondly, testing the structural model.
4 RESULTS AND DISCUSSION
4.1 Result
4.1.1 Measurement Model
Measurements used to test the hypotheses of this
research are carried out using Structural Equation
Modelling (SEM). Therefore, two processing phases
are used, the first is the measurement model using the
first order-Confirmatory Factor Analysis (CFA) and
followed by the SEM. The general practice for both
types of tests is to base the decision on
accepting/rejecting various test statistics (e.g. AGFI,
GFI, SRMR, NFI, CFI, RMSEA) (Hair et al, 2009),
all of which have flaws. It becomes very dependent
on the strength of the test (Saris & Gallhofer, 2014).
The results of validity and reliability are determined
by measuring the level of loading factor, variance
extracted (VE), construct reliability (CR),
discriminant validity (DC) and Cronbach's alpha (see
Table 1, Table 2, and Table 3).
Measurement results of the model as shown in
table 1, table 2 and table 3 using Confirmatory factor
analysis (CFA) of exogenous construction (buyer-
supplier relationship) can be accepted (CMIN =
2.498). The measurement model of absolute
compatibility index is accepted (RMSEA = 0.059),
additional indexes and GFI = 0.932, AGFI = 0.921,
TLI = 0.950, NFI = 0.942, CFI = 0.963, IFI = 0963,
RFI = 0.936, (Hair, et al, 2009). And, the endogenous
construct confirmation factors analysis (dynamic
capability) can also be accepted (CMIN = 2.783), and
the absolute compatibility index of the measurement
model that is acceptable (RMSEA = 0.076) with
additional indexes and GFI = 0.905, AGFI = 0.901,
TLI = 0.946, NFI = 0.934, CFI = 0.943, IFI = 0.943,
RFI = 0.990 The last confirmatory factor analysis for
other endogenous constructs (business performance)
is acceptable (CMIN = 2.630), and the absolute match
index of the measurement model that can be accepted
with (RMSEA = 0.064) with additional indices and
GFI = 0.921, AGFI = 0.906, TLI = 0.948, NFI =
0.924, CFI = 0.959, IFI = 0.959, RFI = 0.921.
The results of measuring the goodness of fit index
criteria have shown the results are greater or equal to
the suitability measure Therefore, a confirmatory
analysis for all latent variables used in this study can
be concluded that the theoretical concepts for
indicators and manifest (Figure 2). However, these
results are not sufficient to measure the suitability of
the model, this means that an evaluation of the
construct validity is still needed. Because the
construct validity can provide confidence that the size
of the indicators / sub indicators taken from the
sample represents the population. Measuring the
validity of the construction can be done through CV,
AVE, CR, and, DC.
The results of construct validity as shown in table
1, table 2 and table 3 show that CV, AVE, CR, and,
DC. The convergent validity is measured by the value
of the loading factor. Convergent validity is an
indicator that constructs must converge or share a
high proportion of variance. The results from the
estimated standard loading estimates as shown in
table 2 that all loading factors are above 0.5. The
estimated standardized loading must be equal to 0.50
or more and ideally 0.70. The loading factor must be
equal to 0.30 for a sample size of at least 350
respondents (Hair, 2009). This means that for 840
respondents all loading factors are acceptable.
4.1.2 Structural Equation Modelling
The first measurement results show the level of
acceptable goodness of fit and validation of the
construct, then the next step is the measurement of the
structural model. Figure 1 shows the overall model of
the structural equation. The study purpose is to
empirically examine the influence between the buyer-
supplier relationship and business performance, and
dynamic capabilities as a mediating variable. Figure
1, shows the influence of the buyer-supplier
relationship, dynamic capabilities, and business
performance. For more details, table 4 shows the
testing of the research hypothesis.
ICE-HUMS 2021 - International Conference on Emerging Issues in Humanity Studies and Social Sciences
76
Table 1: Validity and reliability construct variable buyer-supplier relationship.
Descriptions
Loading
Facto
r
Cronbach’s
alpha
Variance
Extracte
d
Construct
Reliabilit
y
Discriminant
Validit
y
Information Exchange
0.823 0.528 0.881 0.727
Quality of information received from suppliers 0.844
Quality of information provided to suppliers 0.796
Frequency of receiving information from your suppliers 0.626
Frequency of providing information to your suppliers 0.612
Operating Linkage
0.916 0.846 0.955 0.920
Implement
p
rocedures for supply/purchase 0.911
Implement a system of supply/purchase activities 0.928
Cooperative Norm
0.842 0.664 0.909 0.815
The level of congruence between expectations and reality
in
p
rofitable coo
p
eration with su
pp
liers
0.634
The level of compatibility between expectations and reality
after transactin
g
with su
pp
liers
0.918
The level of conformity between expectations and reality
when dealin
with su
liers
0.864
Adaptation
0.853 0.580 0.900 0.761
Ability to adjust/adapt errors in the number of products
made b
y
the su
pp
lie
r
0.605
Ability to adjust/adapt to product type errors made by the
su
pp
lie
r
0.629
Ability to adjust/adapt supply procedures by supplie
r
s 0.882
Ability to adjust/adapt the supply system by the supplie
r
0.883
Legal Bon
d
0.851 0.573 0.892 0.757
The level of speed in finding transaction documents with
su
pp
lie
r
s
0.893
The level of neatness in documenting each transaction with
the su
pp
lie
r
0.923
The level of commitment to the agreement with the supplie
r
0.582
The level of agreement that is built with the supplie
r
0.550
Table 2: Validity and reliability construct variable dynamic capabilities.
Descriptions
Loading
Facto
r
Cronbach’s
alpha
Variance
Extracte
d
Construct
Reliabilit
y
Discriminant
Validit
y
Sensing Capability
0.858 0.605 0.916 0.778
The capability to understand the dynamics that develop in the
market
0.733
The capability to understand customer needs 0.811
Capability to feel the dynamics that develop in the market 0.785
Capability to satisfy customer needs 0.780
Absorptive Capabilit
y
0.856 0.623 0.916 0,790
Capability applies new values/information to the business 0.798
Capability assimilates/adjusts the value/new information in the
b
usiness
0.872
Capability to recognize new information developments in the
b
usiness environment
0.775
Capability to recognize new values that develop in the
b
usiness environment
0.704
Innovation Capabilit
y
0.899 0.691 0.942 0.831
The capability to develop new markets (expansion) with
innovative
p
rocesses
0.845
The capability to develop new markets in harmony with
innovative behavio
r
0.823
The capability to develop new types of products with
innovative
p
rocesses
0.842
The level of capability to develop innovative new products 0.815
Integration Capabilit
y
0.827 0.578 0.898 0.760
Capability to implement integrated inputs 0.508
Capability ability to make an integrated input/suggestion
effective
0.826
Capability to apply patterns of integration of interactions in
b
usiness
0.854
Capability to be effective when integrating with the business 0.801
Assessing Business Performance of the Traditional Market Trader: The Role of Buyer-supplier Relationship and Dynamic Capabilities
77
Table 3: Validity and reliability construct variable business performance.
Descriptions
Loading
Facto
r
Cronbach’s
alpha
Variance
Extracte
d
Construct
Reliabilit
y
Discriminant
Validit
y
Sales Growth
0.928 0.762 0.960 0.873
The increase in the types of products sold 0.885
The increase in the number of products sold 0.893
The increase in the type of product requested by the
custome
r
0.869
The increase in the number of products requested by the
custome
r
0.845
Market Share Growth
0.912 0.728 0.960 0.853
The growth of the market share that is the business market
forces
0.766
The growth of the market shares due to the capability of
b
usiness efficienc
y
0.868
The growth of the market share of the number of products
sol
d
0.903
The growth of the number of the market share of the types
of
p
roducts sol
d
0.870
Profitability
0.880 0.649 0.927 0.806
The level of ability to maintain business management
efficienc
y
0.906
The level of ability to manage the business efficiently 0.910
Level of ability to generate the profits 0.691
The increasing income from business 0.686
Figure 1: Structural equation model of buyer-supplier relationship, dynamic capability and business performance.
ICE-HUMS 2021 - International Conference on Emerging Issues in Humanity Studies and Social Sciences
78
Table 4: Hypothesis Testing Result.
Hypotheses
Standardized
(Estimated)
SE CR p-value Result
H
1
Buyer-Supplier Relationshi
p
Dynamic Capability .940 .147 6.414 .001 Accepted
H
2
Dynamic Capability
Business Performance .593 .083 7.185 .001 Accepted
H
3
Buyer-Supplier Relationshi
p
Business Performance .384 .119 3.236 .001 Accepted
4.2 Discussion
SEM results, as shown in Table 4, state that H
1
(perceptions of traditional market traders in the
buyer-supplier relationship are directly and positively
related to dynamic capabilities) and show that the
CR/Critical Value is 6.414, and the significance of the
P-value (probability) is significant. In other words,
the regression weights for the predicted dynamic
capabilities in the buyer-supplier relationship differ
significantly from zero at the 0.05 level (two sides),
so it is decided to reject Ho and accept Ha. Therefore,
building a buyer-supplier relationship can improve
the capabilities of the company to increase the
competitiveness of the company (Asare et al., 2013;
Prior, 2012), building a buyer-supplier relationship
can increase purchasing efficiency and optimizing of
the operational costs (da Silveira & Arkader, 2007;
Ketchen Jr & Hult, 2007). Buyer-supplier
relationships are built through; information exchange,
operating linkage, cooperative norm, adaptation
between seller and buyer, and legal bond. The highest
quality of buyer and supplier relationships can
increase the dynamic capabilities of traditional
market traders because the various information
obtained from suppliers can be anticipated in the face
of changing the business environment. Therefore, to
build the achievement of a good form of the
relationship of the dynamic capabilities must be
supported.
H2 (traditional market traders' perceptions of
dynamic capabilities are directly and positively effect
to business performance). The results showed that the
CR is 7,185 for the effect of dynamic capabilities on
business performance, and the significance of the
p<0.001 which meant by default was significant. The
regression weight for the business performance of
traditional market traders is predicted by significant
dynamic capabilities; it was decided to accept Ho and
reject Ha.
H3 (traditional market traders' perception of the
buyer-supplier relationship is directly and positively
effect to business performance). The results showed
that the CR is 3.326 for the influence of the
relationship of buyers and suppliers on the business
performance, and the significance of the p<0.001
means by default is significant. The regression weight
for business performance is predicted by the
relationship between buyer and buyer significantly; it
was decided to accept Ho and reject Ha.
Hypotheses 2 and 3. Buyer-supplier relations and
dynamic capabilities have been proven to affect
business performance, both in sales growth, market
share growth, and profitability. The results of this
study proved to support several previous studies, such
as; (Helfat et al., 2009; M. Hitt et al., 2001) that the
principle of dynamic capability is to reconstruct and
enhance the core capabilities in response to the
dynamic market to improve the performance and
sustainability of competitive advantage
(Dadashinasab & Sofian, 2014). While buyer-
supplier harmony has been identified as having a
significant influence on business performance
(Ambrose et al., 2010; Daugherty et al., 1998; Hsu et
al., 2008; Najib et al., 2017; Prior, 2012; Rajagopal &
Rajagopal, 2009)..
5 CONCLUSIONS
The research finding indicates the importance of the
buyer-supplier relationship for traditional market
traders because it can increase the availability of
products so that customers will become satisfied and
can improve the business performance of traditional
market traders through; sales growth, market share
growth, and profitability. However, the buyer-
supplier relationship needs to be supported by
dynamic capabilities owned by traders. The buyer-
supplier harmony can, on the one hand, improve
business performance. It can increase dynamic
capabilities of traditional market traders.
However, this study has several limitations such
as the sample size, which is only represented in the
area of West Java province, even though this province
has the largest population in Indonesia. On the other
hand, this research focuses on traditional market
traders only, so to see a general picture of competition
in the retail industry needs to compare with modern
markets (supermarkets, hypermarkets, and mini
Assessing Business Performance of the Traditional Market Trader: The Role of Buyer-supplier Relationship and Dynamic Capabilities
79
markets). Because this research has not analyzed the
comparison with modern markets, the problem can be
continued in subsequent studies. Although this study
has proven to support the hypothesis related to buyer-
supplier relationships, dynamic capabilities, and
business performance, a longitudinal study can be
offered to provide further, more interesting insights.
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