Content uploaded by Ferdoush Saleheen
Author content
All content in this area was uploaded by Ferdoush Saleheen on Jun 07, 2022
Content may be subject to copyright.
74
Vol.%11,%No.%1,%February%2022
Int.%J%Sup.%Chain.%Mgt
Supply Chain Performance Measurement
Models: A Comparative Study
Ferdoush Saleheen #1, Md. Mamun Habib*2
#School of Quantitative Sciences, Universiti Utara Malaysia (UUM)
*School of Business & Entrepreneurship, Independent University, Bangladesh (IUB)
1ferdoushsaleheen@gmail.com
2mamunhabib@aiub.edu.bd
Abstract— The study investigated supply chain
performance measurement models based on the primary
and the secondary data and the justification of this paper
is to evaluate the literature on performance
measurement of the supply chain management to
capture current practices, distinguish gaps and advocate
future research prospects used through a comparative
study of different supply chain performance
measurement models. As of today, the measurement of
supply chain performance is dependent on the Balanced
Scorecard (BSC) and the Supply Chain Operations
Reference (SCOR) model which requires the adaptation
of a holistic approach such as the application of
sustainability, and resilient supply chain considering the
constant change of the business dynamics. As a result,
many manufacturing companies failed to attain a precise
performance measurement evaluation due to a lack of an
Integrated Supply Chain Performance Measurement
(ISCPM) model and knowledge in the manufacturing
industry. This study illustrates the Integrated Supply
Chain Performance Measurement (ISCPM) model and
makes a comprehensive comparison with the BSC and
the SCOR model. ISCPM model has been developed
through the supply chain performance attributes and
performance measurement index in the outlook of input-
process-output considering the BSC and the SCOR
model at three decisions levels. The model applies
quantitative techniques to bring synergic effect to all
stakeholder issues and incorporates ten supply chain
performance measurement attributes and 36
performance measurement indexes as supplier
relationship management (SRM), internal supply chain
management (ISCM), and customer relationship
management (CRM).
Keywords - Integrated Supply Chain Performance
Measurement (ISCPM), Supply Chain Operations
Reference (SCOR), and Balanced Scorecard (BSC).
1.
Introduction
Supply Chain Management (SCM) has been gaining
considerable attention from business practitioners and
researchers, where it is now acknowledged as a
weapon to bring cutting-edge knowledge and a new
paradigm to bring multi-dimensional efficiency. This
is an integrated process to perceive an operation from
a holistic approach of an organization from raw
material suppliers, product manufacturers, storage,
delivery and ultimately reaching to the end customers
at the stores [1].
In the era of a free-trade economy with the accessibility of
information, organizations continuously thrive to satisfy
customers. Simultaneously due to the in-equilibrium
situation of demand versus supply, the expectation level of
the customers is getting unexpectedly higher [2].
Companies, therefore, need to focus on cost efficiency to
retain their profitability.
A substantial study has been conducted on supply chain
performance measurement (SCPM), however,
manufacturing companies were unsuccessful to have
precise performance measurement tools due to lack of an
Integrated Supply Chain Performance Measurement
(ISCPM) model and knowledge in the manufacturing
industry. Supply Chain Performance Measurement
(SCPM) framework and model facilitates to measurement
and assess the overall efficiency level of the organization
[12]. It also helps business managers to take decisions by
giving consolidated information by processing all the
information with different tools. Supply Chain
Performance Measurement (SCPM) helps an organization
to understand its overall position through understanding a
holistic approach [7]. Therefore, decision-making on
setting its goals, objectives for the long term as well as the
short term becomes convenient. Organizations nowadays
are keen to measure the efficiency level through developing
different sets of performance measurement parameters
from procurement, manufacturing, warehouse, distribution,
customer service as well as the financial impacts of the
organization. Top executives are more interested to see the
bottom-line impacts [6].
2.
Literature Review
There are several parameters and performance
measurement tools available, however, the major concern
is to validate the tools and their applicability. These
parameters in some cases don't reflect a holistic view rather
it gives a biased picture focusing on one particular aspect.
[5] reviewed performance measurement system designed
and focused on three perspectives. The first perspective
was the performance measures and the study revealed that
the most important measures of manufacturing’s
performance are related to quality, time, cost, and
flexibility. The second outlook is to deal with the
performance measurement system as an entity [10], [25].
______________________________________________________________%
International*Journal*of*Supply*Chain*Management*
IJSCM,%ISSN:%2050-7399%(Online),%2051-3771%(Print)%
Copyright%©%ExcelingTech%Pub,%UK%(http://excelingtech.co.uk/)%
75
Vol.%11,%No.%1,%February%2022
Int.%J%Sup.%Chain.%Mgt
The study also reviewed the various dimensions of a
performance measurement system and categorized the
“balanced scorecard” as the best-known performance
measurement framework.
The BSC model provides managers with sufficient
information to address the financial perspective,
internal business perspective, customer perspective,
and innovation and learning perspective. Concerning
this assumption, the study classified the performance
measurement system environment into two
dimensions, the internal environment which presents
the organization itself, and the external environment to
reflect the market within which the organization
competes. [2] discussed some of the challenges
hindering the development of a performance
measurement system to improve performance and
accountability. The findings revealed that a successful
performance measurement system requires its
purposes to be set and its targeted outcome clearly to
be identified. A resource-based strategy focuses on
measuring costs by assessing how efficiently a
process' inputs are utilized to produce a targeted
output. The review indicated that the real challenge
within the emerging context is to develop an integrated
and holistic understanding of performance
measurement through understanding performance
measurement as a social system, understanding
performance measurement as a learning system [4],
[35], [36].
3.
Supply Chain Performance
Measurement
Performance Measurement System (PMS) helps to
take decisions by synchronizing, analyzing, and
consolidating the information or data through a
systematic process. In PMS, the term "Balanced" is
used to explain its view as holistic, which is connected
throughout the organization both internally as well as
externally [9], [28]. Supply Chain Performance
Measurement (SCPM) framework and model
facilitates to measurement and assess the overall
efficiency level of the organization. It also helps
business managers to take decisions by giving
consolidated information by processing all the
information with different tools. Organizations
nowadays are keen to measure the efficiency level
through developing different sets of performance
measurement parameters from procurement,
manufacturing, warehouse, distribution, customer
service as well as the financial impacts of the
organization. Top executives are more interested to
see the bottom-line impacts [13].
There are several parameters of performance
measurement tools available, however, the major
concern is to validate the tools and their applicability.
The parameters are in some cases don't reflect a
holistic view rather it gives a biased picture focusing
on one particular aspect.
The performance measurement requires also have the
capacity to measure applying different measuring tools
simultaneously and oversee it financial, non-financial
and understand its qualitative approach.
Performance measurement parameters are aligned with
certain characteristics such as its comprehensiveness (to
include all factors), universal acceptability (capable to
compare under different circumstances), quantifiably
(capable to numerically measure), and steadiness
(continuous performance with similar pace aligned with
organizational goals). The performance of Supply Chain
Management (SCM) is classified into financial and non-
financial are as follows:
Figure 1. Classification of SCM Performance
Measurement [29]
Activity-Based Costing (ABC) emphasizes an effort to
fasten financial measures to operational performance
which contains breaking down activities into distinct jobs
or cost drivers while appraising the resources, such as time
and costs needed for each one. Dimension-based
Measurement Systems (DBMS) is well-known on the
principle that any supply chain can be measured through
Flexibility (F), Resources (R), and Output (O). Perspective-
based Measurement System (PBMS) perceives supply
chain with all the possible insights and delivers measures
to appraise each of them. It was conceptualized that
acknowledges six-core viewpoints - Operations Research,
System Dynamics, Marketing, Logistics, Organization, and
Strategy [29].
The Hierarchical-based Measurement System (HBMS)
concept was classified as strategic, tactical, or operational.
The main principle deals with appropriate management
levels to facilitate fast and appropriate judgments.
Function-based Measurement System (FBMS) was
originally intellectualized in 2005 to cover the
comprehensive performance measures. Efficiency-based
Measurement System (EBMS) measures the supply chain
performance in terms of efficiency that provides a
framework to study supply chain performance by
developing a Data Envelopment Analysis (DEA) model for
the internal supply chain performance efficiency using case
study applications [30].
Generic Performance-based Measurement System(GPMS)
have been developed since 1980 that have benefits and
limitations as well. Performance Prism Model suggests
Performance Measurement System under five perspectives
76
Vol.%11,%No.%1,%February%2022
Int.%J%Sup.%Chain.%Mgt
- Stakeholder satisfaction, Strategies, Processes,
Capabilities, and Stakeholder contributions. Performance
Pyramid Model perceives to evaluate the organization's
strategy from top-down perspectives.
It measures external as well as internal effectiveness.
It evaluates the company’s vision, quality, customers,
productivity, cycle time, flexibility, etc. Medori and
Steeple’s Framework outlined a cohesive structure for
auditing and enhancing performance measurement
methods. It comprises six phases that begin with
describing manufacturing tactics and achievement
factors. In the following phase, the principal job is to
balance the company’s strategic necessities from the
preceding period with competitive urgencies and
choose the most appropriate procedures [31].
Figure 2. The Balanced Scorecard Model [2]
[8] in figure 2 pronounced the Balanced Scorecard
(BSC) model as an authoritative performance
measurement instrument, and it allows administrators
to detect a composed understanding, where the
researchers recommended four basic perceptions that
administrators should observe and follow - financial,
customer feedback, internal business processes &
innovation and learning perceptions. The author
demonstrated how SCM structure is connected in a
balanced scorecard model where the BSC model is
dominant in delivering managers with a comprehensive
image of business performance. Nevertheless, it
undergoes two elementary restraints. First, it is a top-
down tactic. Hence, it is not participative and might
miscarry to perceive prevailing collaborations between
different procedure metrics [2].
BSC is devised as a monitoring and controlling tool
rather than an improvement tool that gives direction for
strategic level instead of functional or operational level.
It delivers little guidance on how the appropriate
measures can be identified, introduced, and ultimately
used to manage the business. It does not reflect the
market competition perspective. It does not stipulate
any mathematical logical relationships among the
individual's scorecard criteria. It is challenging to
construct comparisons within and across firms. It is not
effective for small and medium-sized organizations,
because it requires a lot of skill and expertise of the
management, time, and expenditure of money. It does
not take into account the relation of cause and effect
over time, provides mechanisms for selecting the best
measures of performance. BSC particularly refers to the
internal corporate perspective. External factors like risk
issues, government regulations, uncertainty,
collaborations, sustainability is not considered and it
does not also consider continuous improvement.
Figure 3. The SCOR model [9]
The SCOR model was formulated by the SC Council
(SCC) to support businesses to enhance the effectiveness
of their SCs and to deliver a process-based approach to
SCM, where the SCOR model carries a common process-
oriented language in communicating among its SC
associates in Plan, Source, Make and Deliver, where
SCOR model designate, measure and estimate any SC
configuration. There are twelve performance matrices as
part of the SCOR Model to evaluate process
performance: delivery reliability, flexibility,
responsiveness, costs, and an asset to derive a
quantifiable SC performance measure [9].
SCOR model does not consider global perspectives on
market uncertainty, external risk factors. Information
technology, information visibility does not cover within
SCOR. Business sustainability issues do not cover
within SCOR. Training and development, capacity
building is also excluded in the SCOR scope. No clear
interaction of inter and intra organizational or functional
activities [31].
3.1
Integrated Supply Chain Performance
Measurement (ISCPM) Model
Figure 4. ISCPM Model [26]
ST
FH
RE
SS
WPH
ST
FH
RE
SS
ST
RE
RL
WPH
SS
PL
CL
CI
VC
PL
CL
VC
WPH
PL
FH
CL
VC
OP
RL
VS
SE
OP
CI
VS
RL
SE
OP
CI
VS
SE
`
SRM
ISCM
CRM
SCPM
Shareholder
Growth &
Productivity
Nature'&'
Community
Sustainability
People
Customer Service
Customer
Organizational
Excellence
77
Vol.%11,%No.%1,%February%2022
Int.%J%Sup.%Chain.%Mgt
The researcher in figure 4, classified ten performance
measurement attributes to measure supply chain
performance measurement. They are Financial Health
(FH), Collaboration (CL), Velocity (VC), Reliability
(RL), Visibility (VS), Resilience (RE), Continuous
Improvement (CI), Work People Health (WPH),
Sustainability (SS), and Service Excellence (SE).
In figure 4, Supplier Relationship Management (SRM)
is classified as an Input, Internal Supply Chain
Management (ISCM) is classified as Process and
Customer Relationship Management (CRM) is
classified as Output. All these ten attributes are then
clustered at a strategic, planning, and operational level
[26].
Supplier Relationship Management (SRM) at a
strategic level consists of Financial Health (FH),
Resilience (RE), Sustainability (SS), and Work People
Health (WPH). The Supplier Relationship
Management (SRM) at a planning level consists of
Collaboration (CL), Continuous Improvement (CI),
and Velocity (VC). And finally, the Supplier
Relationship Management (SRM) at an operational
level consists of Reliability (RL), Visibility (VS), and
Service Excellence (SE) [26], [32], [33].
Similarly, Internal Supply Chain Management (ISCM)
and Customer Relationship Management (CRM) have
been classified. The researcher exhibits the ISCPM
model, where the researcher classifies that an
organization is ultimately responsible for its four
stakeholders: shareholder, customer, people, nature &
community. The first and foremost responsibility of an
organization is to serve its shareholders' interests
through continuous growth and profitability [24], [17],
[20].
The shareholders are better served when an
organization has the highest focus to serve its
customers through ensuring customer service
excellence. The shareholders and customers could be
made satisfied when the people of the organization
perform satisfactorily through ensuring organizational
excellence. The last and most important for an
organization is to be responsible for their stakeholder
who is nature and community [23].
An organization should be responsible for its nature
and its community to ensure that it is not engaging
itself in any harmful activities through pollution of air,
soil, or releasing toxic gas or substances to nature. Not
only that, but an organization also has responsivity
towards its people, its community through the
eradication of poverty. Therefore, when a firm's
performance is balanced to its four stakeholders, then
and only true sustainability is achieved [21].
To measure the supply chain performance, there are
several tools and methods which have been already
discussed above. However, the Balanced Scorecard
(BSC) model and the SCOR model have been widely
been adopted and recognized as the two most
successful tools. The study focuses on the comparative
study of The Balanced Scorecard Model (BSC), the
SCOR model with Integrated Supply Chain
Performance Measurement Model (ISCPM) model are
as follows [27]:
4.
Comparative Study of Performance
Measurement Models
A comprehensive summary of the Integrated Supply
Chain Performance Measurement (ISCPM) model, the
BSC model, and the SCOR model is given below
Table 1. Performance Measurement Models
Comparative [26]
Economic
Performance
Financial Asset
Cost ,, Cost
Budget Variance ,, Did not discuss
Inventory Did not discuss Did not discuss
Planning Variance ,, ,,
Partnership ,, ,,
Capacity Flexibility Did not discuss Agility
Speed ,,
,,
Flexibility
Consistency ,, ,,
Global Risk Did not discuss
Enterprise Risk ,,
Human Capital and
Management Risk
,,
Supplier Selection &
Appraisal
,,
Be on Time Did not discuss Reliability
Be on Specifications ,, ,,
Be on Utilization ,, ,,
Process
Standardization
Internal Busienss Process Did not discuss
Culture for TQM ,, ,,
Culture for
Continuous
Improvement
,, ,,
Application of 5S ,, ,,
Application of Lean ,, ,,
Application of Total
Productive
Maintenance
,, ,,
6
Culture to Achieve and Excel
Performance in SC (CI)
3
Capacity and Speed in SC (VC)
4
Disruption in SC ( RE)
BSC
SCOR
ISCPM Model
5
Dependability on Internal SC Operations
(RL)
Did not discuss
previously, but in
SCOR 10.0 it
added.
1
Financial impacts in SC (FH)
2
Information Sharing and Partnership (CL)
Integration
Traceability
ERP Transactions
Leadership
Ethics, Integrity &
Compliance
8
Talent Attraction and
Retention
Health & Safety
Culture, Value and
Employee
Engagement
Sustainability to
Nature
Abstain to Damage Society and Nature
(SS)
Sustainability to
Community
Application of Green
SC
Innovation in
Technology
Customer Satisfaction
Service Facilities &
Technical Skills
Did not discuss
SCOR
BSC
ISCPM Model
Did not discuss
10
Technological Innovation & Service
Quality (SE)
Customer / Learning &
Growth
Did not discuss
9
7
Traceability in SC (VS)
Did not discuss
Did not discuss
Leadership & Corporate Governance
(WPH)
Learning & Growth
Did not discuss
78
Vol.%11,%No.%1,%February%2022
Int.%J%Sup.%Chain.%Mgt
BSC model addressed four perspectives – financial,
internal business process, learning & growth, and
customer, whereas the SCOR model argues on five
perspectives – reliability, responsiveness, agility, cost,
and asset. In contrast, the ISCPM model considers that
to ensure a comprehensive analysis on SC
performance measurement, the model demands to
have ten attributes - financial health (FH),
collaboration (CL), velocity (VC), resilience (RE),
reliability (RL), continuous improvement (CI),
visibility (VS), workplace health (WPH),
sustainability (SS), and service excellence (SE).
5.
Research Methodology
The study applied an exploratory study method based
on primary and secondary data. A review of journal
papers on the supply chain performance measurement
model was made. The target population in this study
was the Bangladesh manufacturing industry, which
consists of twenty-four manufacturing sectors. Based
on the analysis, twenty-four manufacturing sectors
have around 7,570 manufacturing companies.
Therefore, the population size is 7570. From the 7,570
lists of the respondent companies, 1,832 individual
company-have been chosen randomly and emails have
been sent to the supply chain heads to respond.
An individual company's supply chain professional
has been considered as the unit of analysis. This study
applied simple random sampling and used the Taro
Yamane table at ±7% precision level, and confidence
level at 95% the sample size of this research is 199. In
this study, the researcher composed 207 respondents
from the manufacturing industry. Hence, 207
respondents are the sample size in this study. Apart
from these, the study also explored secondary data
from Emerald, IJSCM, IGI, Nova publishers, etc.
6.
Discussion
The 1st attribute of the ISCPM model is Financial
Health (FH). The BSC model in its financial
perspective did not elaborate its attributes rather it
discussed in general cost structure, asset utilization,
and long term shareholders value from the strategic
perspective which requires extensive high-end
leadership skills and business acumen to frame out,
where the SCOR model discussed on cost and asset
which can be segregated in the financial perspective.
Against the existing two models, the ISCPM model
stretches far beyond the traditional views and
segregates the financial attributes into three
performance measurement indexes (PMI) –
economic performance, cost, and budget variance
where the budget variance is a performance
measurement index (PMI) of financial health
attribute, which has not been discussed in the BSC
and the SCOR model and it addresses the planning
and actual deficiencies or surplus position in an
organization - such as budget variance in customs duty,
customs, penalty, demurrage, cost of
production, etc. Addressing Financial Health (FH) will
bring efficiency and ensure growth and productivity in
the organization. Hence, this will serve the interest of
the shareholders [27], [28].
The 2nd attribute of the ISCPM model is Collaboration
(CL) which describes Information Sharing and
Partnership among its suppliers, internal operations as
well as to its customers which helps the company to
synchronize its operations. However, the BSC model
and SCOR model did not address anything from this
perspective.
In contrast, the ISCPM model further elaborates the
attributes and segregates them into three performance
measurement indexes (PMI) – inventory, planning
variance, and partnership. As the organization excels
towards collaboration, this will improve the operational
efficiency and ignite to achieve the financial top and
bottom-line [26], [25], [15].
The 3rd attribute of the ISCPM model is Velocity (VC)
which describes Capacity & Speed with further
segregation on Capacity Flexibility, Speed, and
Flexibility Consistency. The BSC model did not cover
this perspective whereas the SCOR model however
clarified this attribute in Agility. As the company
accelerates its velocity in its overall process, this will
help the company to act agile and to keep the
consistency to meet and retain the market share and
satisfy its customers [26].
The 4th attribute of the ISCPM model is Resilience
(RE) which describes Disruption in SC, and the model
further elaborates into four performance measurement
indexes (PMI) – global risk, enterprise risk, human
capital & management risk, and supplier selection &
appraisal. In the context of a highly complex and
borderless economy, appraising Resilience is essential.
However, the BSC and the SCOR model ignored this
attribute. But, the SCOR 10.0 version has partially
covered risk through overall value at risk under the
subsection of Agility [25], [3].
The 5th attribute of the ISCPM model is Reliability
(RL) which describes Dependability in SC, and the
model further elaborates into three performance
measurement indexes (PMI) – Be on Time, Be on
Specification and Be on Utilizations. The BSC model
does not cove in this perspective. However, the SCOR
model elaborated this on Agility [22].
The 6th attribute of the ISCPM model is Continuous
Improvement (CI) which describes Culture to Achieve,
and Excel Performance in SC, and the model further
elaborates into six performance measurement index
(PMI) – Process Standardization, Culture for TQM,
Culture for Continuous Improvement, Application of
5S, Application of Lean, and Application of Total
79
Vol.%11,%No.%1,%February%2022
Int.%J%Sup.%Chain.%Mgt
Productive Maintenance.
The BSC model discussed on Internal Business
Process and highlighted Cycle time, Quality,
Employee Skills, and Productivity in general but it did
not cover in-depth the quality process, and its
application to apply it in the manufacturing industry
where the SCOR model is absent in this perspective.
Against these two models, the ISCPM model is very
comprehensive and illuminates' issues related to the
industry on the people, process, productivity, and the
way forward [25].
The 7th attribute of the ISCPM model is Visibility
(VS) in SC, and the model further elaborates into three
performance measurement indexes (PMI) –
Integration, Traceability, and ERP Transaction [14],
[16], [18], [11].
To synchronize the company with the supplier,
internal operations with the customer, visibility is
important. Global companies have made a significant
investment in infrastructure and capacity
development, where the BSC and the SCOR model did
not focus on addressing it, where the ISCPM model
has covered major areas to ensure the seamless
connectivity and full optimization of the SC efficiency
[11].
The 8th attribute of the ISCPM model is Work, People
& Health (WPH) which describes on Leadership &
Corporate Governance in the overall organization
bring SC efficiency and the model further elaborates
into five performance measurement index (PMI) –
Leadership; Ethics, Integrity & Compliance, Talent
Attraction & Retention, Health & Safety; and Culture,
Value & Employee Engagement. The BSC model
discusses Learning & Development, where it clarifies
companies' ability to innovate and learn new things
aligning with the company's value. However, the
explanations do not cover what should be their
attribute or measurement tools for the functional and
operational aspects [35] . The BSC model does not talk
about the leadership, culture, motivation level of the
employees. Therefore, it seems ambiguous and
challenging for a mid-sized organization. Contrary to
that, the SCOR model is completely absent from this
perspective. Against these two models, the WPH
elaborates comprehensively to ensure organizational
excellence [26].
The 9th attribute of the ISCPM model is Sustainability
(SS) which describes on Abstain to Damage Society
and Nature and the model further elaborates into three
performance measurement indexes (PMI) –
Sustainability to Nature, Sustainability to Community,
and Application of Green SC. The BSC and the SCOR
model ignored this perspective whereas the ISCPM
model strongly emphasized the sustainability for an
organization to behave responsively for the planet and
the people [19].
The 10th attribute of the ISCPM model is Service
Excellence (SE) which describes Technological
Innovation & Service Quality, and the model further
elaborates into three performance measurement indexes
(PMI) – Innovation in Technology, Customer
Satisfaction, and Service Facilities & Technical Skills
[]. The BSC model discussed on bird's eye perspective
on technical innovation and its adaptability, but the
SCOR model completely ignored this emerging issue
where the ISCPM model elaborates and highlights in-
depth to meet the current industry needs [37].
7.
Conclusion
This study unlocks the frontier to have comprehensive
analysis and a comparative study on supply chain
performance measurement among different models,
especially with the BSC and the SCOR model which are
widely adopted and applied across the industries. And
then these two models were compared in their attributes
with the Integrated Supply Chain Performance
Measurement (ISCPM) model. This study formulates
Integrated Supply Chain Performance Measurement
(ISCPM) model through the supply chain performance
attributes in the outlook of input-process-output
considering the BSC and the SCOR model at three
decisions levels with an application of quantitative
techniques to bring synergic effect to all stakeholder
issues. A gap analysis was performed through literature
reviews. The integrated model incorporates ten supply
chain performance measurement attributes as supplier
relationship management (SRM), internal supply chain
management (ISCM), and customer relationship
management (CRM). The model was then tested by 207
respondents from 24 sectors in the manufacturing
industry of Bangladesh, through a simple random
sampling. The ten attributes were ranked using Analytic
Hierarchy Process (AHP), and the weight and fitness of
the model, were validated using the Structural Equation
Modeling (SEM) technique. The developed ten
attributes reveal that the existing models such as the
BSC and the SCOR models have limitations in the
context of the current market dynamic changes.
8.
Recommendation and Future
Research
The integrated supply chain performance measurement
(ISCPM) model was produced based on the primary
data from the Bangladeshi manufacturing industry,
however, it could apply to other manufacturing
industries as well from across the world. As this research
is validated empirically, therefore, it is suggested to
apply this model in real-life applications, particularly in
the manufacturing industry. In this study, the study
illustrated the model for the manufacturing industry,
though this is the limitation of this research. However,
the study unlocks further frontiers for the service
industry.
80
Vol.%11,%No.%1,%February%2022
Int.%J%Sup.%Chain.%Mgt
References
[1] Bhagwat, R., & Sharma, M. Performance
measurement of supply chain management: A
balanced scorecard approach. Journal of
Computers & Industrial Engineering, Vol 53 (1),
pp. 43–62 (2007).
[2] BSC. Balanced Scorecard Institute. Retrieved
from https://www.balancedscorecard.org/BSC-
Basics/About-the-Balanced-Scorecard (2019).
[3] Chen, H. "Supply chain risk’s impact on corporate
financial performance". International Journal of
Operations & Production Management, Vol. 38
No. 3, pp. 713731 (2018).
[4] Elnouaman, S., & Ismail. K. The Relationship
between IT and Supply chain management
Performance: A Systematic Review and Future
Research, American Journal of Industrial and
Business Management, pp. 480-495. (2016).
[5] Ghadge, A., Er Kara, M., Moradlou, H., &
Goswami, M. "The impact of Industry 4.0
implementation on supply chains". Journal of
Manufacturing Technology Management, Vol.
ahead-of-print No. ahead-of-print.
https://doi.org/10.1108/JMTM10-2019-0368.
(2020).
[6] Garay-Rondero, C., Martinez-Flores, J., Smith, N.,
Caballero Morales, S., & A drette- Malacara, A.
"Digital supply chain model in Industry 4.0".
Journal of Manufacturing Technology
Management, Vol. ahead-of-print No. ahead-of-
print. https://doi.org/10.1108/JMTM-08-2018-
0280 (2019).
[7] Hussain, M., Al-Aomar, R., & Melhem, H.
"Assessment of lean-green practices on the
sustainable performance of hotel supply chains".
International Journal of Contemporary
Hospitality Management, Vol. 31 No. 6, pp.
2448- 2467. https://doi.org/10.1108/IJCHM-
05-2018-0380 (2019).
[8] Kaplan, R. S., & Norton, D. P. The Balanced
Scorecard-Measures that Drive Performance.
Harvard Business Review (1992).
[9] Kottala, S., & Herbert, K. "An empirical
investigation of supply chain operations
reference model practices and supply chain
performance: Evidence from manufacturing
sector". International Journal of Productivity
and Performance Management, Vol. ahead-of-
Print No. ahead-of-print.
https://doi.org/10.1108/IJPPM- 09-2018-0337
(1992).
[10] Kurien, GP., & Qureshi., MN. House of
sustainable waste management: an
implementation framework. International
Journal of Sustainable Manufacturing. Vol 4,
Issue 1, pp 79-96 (2018).
[11] Kumar, A., Singh, R., & Modgil, S. (2020).
"Exploring the relationship between ICT, SCM
practices and organizational performance in the
agri-food supply chain", Benchmarking: An
International Journal, Vol. ahead-of-print No.
ahead-of-print. https://doi.org/10.1108/BIJ-11-
2019-0500 (2020).
[12] Kumar, G., & Goswami, M. "Sustainable supply
chain performance, its practice and impact on
barriers to collaboration". International Journal of
Productivity and Performance Management, Vol.
68 No. 8, pp. 1434-1456.
https://doi.org/10.1108/IJPPM-12-2018-0425
(2019)
[13] Molina-Besch, K. Prioritization guidelines for
green food packaging development. Br. Food J.
2016, 118, 2512–2533 (2016).
[14] Miraz, H. M., Saleheen, F., Almunawar, N. M.,
Sumi, R. F., Hasan, T. Green, Circular, and Digital
Economies as Tools for Recovery and
Sustainability, Factors Affecting on IoT Base
Business Management: in Post, Pandemic Period,
IGI Global Publisher of Timely Knowledge, 701
E. Chocolate Ave. Hershey, PA 17033, USA,
DOI: 10.4018/978-1-7998-9664-7,
ISBN13: 9781799896647 (2022).
[16] Miraz, H.M., Habib, M. M., & Saleheen, F. ICT
Integration in Management for Public Educational
Institutions in Bangladesh. Open Journal of
Advances in Business & Management (OJABM)
Vol. 1, No. 1, pp. 01~10 (2016).
[17] Miraz, H.M., Saleheen, F., & Rahman., M. Supply
Chain Management in Service Quality.
Proceedings - International Conference on
Industrial Engineering and Operations
Management, Kuala Lumpur, Malaysia, March 8-
10 (2016).
[18] Miraz, H. M., Saleheen, F., Habib, M. M. ICT-
Based Business Initiatives for Women: An
Outline of Best Practices in E-Commerce/E-
Retailing Ventures, Frontiers in Management
Research, Vol. 1, No. 1,
January,https://dx.doi.org/10.22606/fmr.2017.11
005 (2017).
[19] Phan, A., Nguyen, H., Trieu, P., Nguyen, H., &
Matsui, Y. "Impact of supply chain quality
management practices on operational
performance: empirical evidence from
manufacturing Companies in Vietnam". Supply
Chain Management, Vol. 24 No. 6, pp. 855-871.
https://doi.org/10.1108/SCM-12-2018-044
(2019).
[20] Panova, Y., & Hilletofth, P. "Managing supply
chain risks and delays in construction project".
Industrial Management & Data Systems, Vol. 118
No. 7, pp. 1413-1431.
https://doi.org/10.1108/IMDS-09-2017 0422
(2018).
[21] Panahifar, F., Byrne, P., Salam, M., & Heavey, C.
"Supply chain collaboration and firm's
performance: The critical role of information
sharing and trust". Journal of Enterprise
Information Management, Vol. 31 No. 3, pp.
358- 379.https://doi.org/10.1108/JEIM-08-2017-
0114 (2018).
[22] Saleheen, F., & Habib, M. M. “What to Know
about Supply Chain Management”, Supply Chain
Performance Measurement for Manufacturing
81
Vol.%11,%No.%1,%February%2022
Int.%J%Sup.%Chain.%Mgt
Industry, Nova Science Publishers, USA,
DOI: https://doi.org/10.52305/FBAX6283,
ISBN: 978-1-68507-455-5 (2022).
[23] Saleheen, F., & Habib, M. M. Supply Chain
Resiliency, Efficiency, and Visibility in the
Post-Pandemic Era, Supply Chain Practice
Towards Resilience (submitted), IGI Global
Publisher of Timely Knowledge, 701 E.
Chocolate Ave. Hershey, PA 17033, USA,
ISBN13: 9781799895060 (2022).
[24] Saleheen, F., & Habib, M. M. Embedding
Attributes towards the Supply Chain
Performance Measurement, Cleaner Logistics,
and Supply Chain, The Authors. Published by
Elsevier Ltd, ISSN: 2772-3909 (2022)
(submitted).
[25] Saleheen, F., & Habib, M. M. Constructing
Performance Measurement Index for the
Manufacturing Industry: An Empirical Study,
Open Journal of Social Sciences, Scientific
Research Publishing, ISSN Print: 2327-5952,
ISSN Online: 2327-5960, (2022) (accepted).
[26] Saleheen, F., & Habib, M. M. Integrated Supply
Chain Performance Measurement Model for the
Manufacturing Industry, Open Journal of
Service Science and Management, Scientific
Research Publishing, ISSN Print: 1940-9893,
ISSN, Online: 1940-9907, (2022) (accepted).
[27] Saleheen, F., & Habib, M. M. Global Supply
Chain Disruption Management Post Covid 19,
Open Journal of Industrial and Business
Management, ISSN Print: 2164-5167, ISSN
Online: 2164-5175, (2022) (submitted).
[28] Saleheen, F., & Habib, M. M. Supply chain
performance measurement for the
manufacturing industry: A study during
pandemic (Covid-19), International Conference
on Industrial Enterprise and System Engineering
(ICOIESE), Indonesia (2021).
[29] Saleheen, F., Habib, M. M., & Hanafiz, Z. Supply
Chain Performance Measurement Model: A
Literature Review. International Journal of
Supply Chain Management (IJSCM) (Scopus),
ExcelingTech Publisher, UK, Volume 7,
Number 3, ISSN 2050-7399 (Online), 2051-
3771 (2018).
[30] Saleheen, F., Habib, M. M., & Hanafiz, Z. An
Empirical Study on Supply Chain Management
Performance Measurement through AHP.
International Journal of Supply Chain
Management (IJSCM), ExcelingTech Publisher,
UK, Volume 7, Number 3, ISSN 2050-7399
(Online), 2051-3771 (2018).
[31] Saleheen, F., Habib, M. M., & Hanafi, Z. An
Implementation of Balanced Scorecard on
Supply Chain Performance Measurement in
Manufacturing Industry. Proceedings from 2nd
International Conference on Business and
Management (ICBM) in Dhaka, Bangladesh, 25-
27 April (2019).
[32] Saleheen, F., Miraz, M.H., Habib, Mamun., and
Hanafi, Zurina. (2017) “Shokouhyar, S.,
Seddigh, M., & Panahifar, F. "Impact of big data
analytics capabilities on supply chain
sustainability: A case study of Iran". World
Journal of Science, Technology, and Sustainable
Development. Vol. 17 No. 1, pp. 33-57.
https://doi.org/10.1108/WJSTSD-06-2019-0031
(2020).
[33] Saleheen, F., Miraz, M.H., Habib, Mamun., and
Hanafi, Zurina., “Challenges of Warehouse
Operations: A Case Study in Retail Supermarket”,
International Journal of Supply Chain
Management (IJSCM) (Scopus), vol.3, no.4, pp
63-67, 2014.
[35] Sabiu, M., Ringim, K., Mei, T., & Joarder, M.
"Relationship between human Resource
Management practices, ethical climates and
organizational performance, the missing link: An
empirical analysis". PSU Research Review, Vol.
3 No. 1, pp. 50-69. https://doi.org/10.1108/PRR-
12-2016-0022 (2019).
[36] Shokri Kahi, V., Yousefi, S., Shabanpour, H., &
Farzipoor Saen, R. (2017). "How to evaluate the
sustainability of supply chains? A dynamic
network DEA approach". Industrial Management
& Data Systems, Vol. 117 No. 9, pp. 1866-
1889. https://doi.org/10.1108/IMDS-09-2016-
0389 (2017)
[37] Sundram, V., Bahrin, A., Abdul Munir, Z., &
Zolait, A. "The effect of supply chain information
management and information system
infrastructure: The mediating role of supply chain
integration towards manufacturing performance in
Malaysia". Journal of Enterprise Information
Management. Vol. 31 No. 5, pp. 751-770.
https://doi.org/10.1108/JEIM-06-2017-0084
(2018).