A classification and framework for measuring sustainability supply chain risk indices in small and medium enterprises

The small scale sector is a symptom of India’s socio-economic development model and has met with the country’s long term expectations in terms of contribution to Gross Domestic Product (GDP), industrial base, employment and exports. This sector forms a major part of Indian industrial base. Small and Medium scale industries contribute about 10% of total GDP. The Small and Medium Scale Industries (SMSI) are supported by the government and financial institutions like Micro Small and Medium Enterprises (MSME), Tamil Nadu Industrial Investment Corporation (TIIC), State Bank of India (SBI) etc., in terms of technical and financial assistance. Even then Micro and Small Enterprises (MSE) are lagging in infrastructure, skilled labour. In order to analyse the various risk factors in SMSI, the survey was conducted in 20 small and medium scale industries who are supplying their product to many Tier 1 companies and leading automobile companies of Original Equipment Manufacturer (OEM) in India. This paper brings out most critical supply chain risk factors exist in every business processes inside and outside the Small and Medium Enterprises (SME). Quality Function Deployment (QFD) is used to prioritize supply chain risk factors and also the SMSI owners and managers are advised to focus from the highest ranking critical factors to improve their technical and financial performance.

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Supply Chain Risk Management in Automotive Small and Medium Enterprises in Malaysia

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.773-774.799 ◽

2015 ◽

Vol 773-774 ◽

pp. 799-803 ◽

Cited By ~ 1

Author(s):

Norlaile Salleh Hudin ◽

Abu Bakar Abdul Hamid

Keyword(s):

Risk Management ◽

Supply Chain ◽

Case Studies ◽

Small And Medium Enterprises ◽

Risk Identification ◽

Supply Chain Risk Management ◽

Supply Chain Risk ◽

Effect Analysis ◽

Assessment Techniques ◽

Medium Enterprises

The current automotive supply chain is facing more risks than ever due to the heavy dependencies of local automotive component manufacturers with foreign and established global producers. In response, this paper is designed to explore the supply chain risk management (SCRM) practice of automotive industry in Malaysia. In-depth case studies were conducted at two automotive components manufacturers based on three constructs of SCRM framework including the SCRM process, tools used in SCRM and techniques to minimize risk. The case studies revealed that the automotive companies implemented failure mode and effect analysis (FMEA), 5 why analysis, impact-aspect study, and recovery planning to manage their supply chain risks. In addition, brainstorming techniques, experience and expert judgment were mainly used as risk identification and assessment techniques. Most of the risks encountered during operations were dealt by reactive strategies such as back-up suppliers and increasing buffer stocks. Overall, the automotive companies are heading towards more formal and sophisticated SCRM especially with the certification of TS16949 although there are still plenty of rooms for improvements in the risk identification and risk assessment techniques since very limited quantitative techniques were evidenced.

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The effect of supply chain finance on supply chain risk, supply chain risk resilience, and performance of Vietnam SMEs in global supply chain

Uncertain Supply Chain Management ◽

10.5267/j.uscm.2021.9.005 ◽

2022 ◽

Vol 10 (1) ◽

pp. 225-238 ◽

Cited By ~ 1

Author(s):

Duy Nhien Nguyen ◽

Thi Thu Hoai Nguyen ◽

Thi Tho Nguyen ◽

Xuan Hung Nguyen ◽

Thi Kim Thu Do ◽

...

Keyword(s):

Supply Chain ◽

Negative Impact ◽

Positive Impact ◽

Small And Medium Enterprises ◽

Global Supply Chain ◽

Supply Chain Risk ◽

Supply Chain Finance ◽

And Performance ◽

Medium Enterprises ◽

Improve Supply Chain

The purpose of the article is to examine the response of small and medium enterprises (SMEs) in Vietnam to supply chain finance and then have a strategy to use supply chain risk resilience to control supply chain risk and improve supply chain effectiveness and SMEs performance. The analysis results are based on three months of data collected from 890 SMEs in Vietnam. The results show that supply chain finance has a statistically significant positive impact on supply chain effectiveness, SMEs performance and supply chain risk resilience. At the same time, supply chain finance has a negative impact on the supply chain risk of Vietnam SMEs in the global supply chain. Finally, we offer recommendations to help SMEs improve supply chain effectiveness and performance through the supply chain finance tool.

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Effects of cloud computing assimilation on supply chain financing risks of SMEs

Journal of Enterprise Information Management ◽

10.1108/jeim-11-2020-0461 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Qiang Lu ◽

Jinliang Chen ◽

Hua Song ◽

Xiangyu Zhou

Keyword(s):

Cloud Computing ◽

Supply Chain ◽

Small And Medium Enterprises ◽

Supply Chain Integration ◽

Content Type ◽

Supply Chain Financing ◽

Medium Enterprises ◽

The Relationship ◽

Moderating Role

Purpose The purpose of this study is to examine how cloud computing assimilation reduces supply chain financing (SCF) risks of small and medium enterprises (SMEs). This study also investigated the mediating roles of internal and external supply chain integration between cloud computing assimilation and the SCF risks of SMEs, as well as the moderating role of environmental competitiveness. Design/methodology/approach Data was collected from surveys of SMEs located in China. Multiple regression analysis was used to validate the proposed theoretical model and research hypotheses. Findings The findings show that cloud computing assimilation could reduce the SCF risks of SMEs directly. The results also indicate that both internal and external supply chain integration mediate the relationship between cloud computing assimilation and SCF risks. Furthermore, environmental competitiveness inhibits the effects of cloud computing assimilation on SCF risks. Originality/value To our best knowledge, this is the preliminary study to explore the role of cloud computing assimilation in reducing the SCF risks of SMEs. Also, this study attempted to investigate the process by which cloud computing assimilation affects the SCF risks of SMEs.

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Performance of supply chain management and digitalization of human resource information in SMEs

Uncertain Supply Chain Management ◽

10.5267/j.uscm.2021.3.005 ◽

2021 ◽

Vol 9 (2) ◽

pp. 277-282 ◽

Cited By ~ 1

Author(s):

Ansa Savad Salim ◽

M. M. Sulphey

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Human Resource ◽

Small And Medium Enterprises ◽

It Infrastructure ◽

Chain Management ◽

Resource Information ◽

Vernacular Language ◽

Information Practices ◽

Medium Enterprises

The aim of this study is to determine the influencing factors of Supply Chain Management and digitalization of human resource information practices in the small and medium enterprises of Oman. Digitalization of human resource information is the adoption of electronic means to the human resource activities of Supply Chain Management. In this system, the whole human resource activities are implemented through electronic means with the support of information technology (IT) infrastructure. To measure the Digitalizationof Human Resource Information Practices and the performance level of Supply Chain Management, two adopted constructs from two different studies were used. The study samples were taken from the SMEs of Oman. Almost 180 employees of different provinces responded to the questionnaires translated into vernacular language through google forms and a few hardcopy surveys were distributed to different locations with the support of SMEs and few entrepreneurs. The study found a significant positive relationship between the Performance of SCM and the Digitalization of Human Resource Information of a prominent variable electronic communication and other variables were found with no significant relationship. The finding of the study acts as a significant contributor to the existing literature on SCM as well as human resource management.

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Big data-driven supply chain and performance: a resource-based view

The TQM Journal ◽

10.1108/tqm-02-2021-0036 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Shampy Kamboj ◽

Shruti Rana

Keyword(s):

Big Data ◽

Supply Chain ◽

Small And Medium Enterprises ◽

Data Driven ◽

Equation Modeling ◽

Firm Age ◽

Content Type ◽

Sustainable Performance ◽

Medium Enterprises

PurposeThe main objective of this paper is to study the role of supply chain performance (SCP) as a mediator between big data-driven supply chain (BDDSC) and firm sustainable performance. In addition, the role of firm age as a moderator between BDDSC and SCP as well as between SCP and firm sustainable performance has also been explored.Design/methodology/approachThe 200 managers of medium or senior level positions in micro, small and medium enterprises (MSMEs) located at Delhi-NCR have been contacted. Further, collected data have been confirmed with confirmatory factor analysis (CFA). In this paper, structure equation modeling (SEM) has been employed to empirically check the proposed hypotheses and their relationships.FindingsThe findings confirmed that SCP mediates the link between BDDSC and firm sustainable performance. Additionally, firm age moderates the association between BDDSC and SCP as well as between SCP and firm sustainable performance.Research limitations/implicationsThe role of SCP and firm age between BDDSC and sustainable performance have been examined in the context of MSMEs in Delhi-NCR and thereby limit the generalization of results to other industries and country contexts.Originality/valueThe present study adds to the existing literature via recognizing the blackbox using SCP and firm age to comprehend BDDSC and firm sustainable performance relationship.

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Pollution optimisation study of logistics in SMEs

Management of Environmental Quality An International Journal ◽

10.1108/meq-04-2018-0077 ◽

2019 ◽

Vol 30 (4) ◽

pp. 731-750 ◽

Cited By ~ 2

Author(s):

Anand Jaiswal ◽

Cherian Samuel ◽

G. Abhishek Ganesh

Keyword(s):

Supply Chain ◽

Small And Medium Enterprises ◽

Pollutant Emission ◽

Vehicular Pollution ◽

Data Set ◽

Content Type ◽

Logistics Network ◽

Pollution Emission ◽

Optimisation Model ◽

Medium Enterprises

Purpose The purpose of this paper is to provide a solution for greening the supply chain of small and medium enterprises (SMEs) by minimising the vehicular pollutant emission in the logistics network. Design/methodology/approach The paper proposes an optimisation model to reduce the pollution emission in the logistics of supply chain network in SMEs. The work considers vehicle routing and selection of suppliers, manufacturers and assemblers according to the availability of various Bharat Stage Emission Standards type vehicles. Introsort sorting based selection algorithm is used to solve the problem. The proposed solution is implemented using C++ on an experimental data set for analysing the model. Findings The outcome of the study is a pollution optimisation model for logistics of SMEs. The finding shows an approach to reduce total vehicular pollution emission in the logistics network in meeting the demand. The model is tested over an experimental study, and the result findings show which supply chain entities, type of environmental standard vehicles and vehicle routes are selected for the specific demand. Research limitations/implications The proposed model is confined to pollution optimisation with limited parameters only and does not consider cost and other factors that can be included in future work. Practical implications The work can be used for limiting pollution in logistics system as the corporate social responsibility of enterprises. Originality/value Proposed work presents a sustainable and green solution for pollution control in logistics activities of the SMEs.

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The impact of supply chain operational capability on business performance: Empirical finding from small and medium enterprises in Yogyakarta

Jurnal Siasat Bisnis ◽

10.20885/jsb.vol20.iss1.art8 ◽

2016 ◽

Vol 20 (1) ◽

pp. 90-100

Author(s):

Danu Oki Prastia ◽

Siti Nursyamsiah

Keyword(s):

Supply Chain ◽

Business Performance ◽

Small And Medium Enterprises ◽

Empirical Finding ◽

Operational Capability ◽

Medium Enterprises ◽

The Impact

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PERANAN MANAJEMEN RANTAI PASOK DALAM MENINGKATKAN STRATEGI KOMPETITIF UMKM DI SAMARINDA

Research Journal of Accounting and Business Management ◽

10.31293/rjabm.v2i2.3708 ◽

2018 ◽

Vol 2 (2) ◽

pp. 116

Author(s):

Rina masitoh, Catur Kumala Dewi

Keyword(s):

Supply Chain ◽

Sampling Method ◽

Small And Medium Enterprises ◽

Quality Standard ◽

Delivery Time ◽

Supply Chain Strategy ◽

Systematic Data ◽

Human Power ◽

Analysis Technique ◽

Medium Enterprises

Small and medium trade will be displaced from the AFTA and Free Trade competition if it does not implement an effective and efficient supply chain. This is a major problem for Small and Medium Enterprises (SMEs) which indicate they have limitations in business capital, not or have not implemented technology and there is no formula for the objectives to be achieved by Micro, Small and Medium Enterprises (UMKM) and lack of resources human power in the form of expertise and skills of Micro, Small and Medium Enterprises (UMKM).The purpose of this study is to find out the model of supply chain from UMKM in Samarinda. An effective model of supply chain will provide an increase in UMKM competitiveness strategies. The effective supply chain strategy will give UMKM excellence in terms of price, quality, standard products and delivery time and customer service.The analysis technique used in this study is descriptive qualitative, namely by the stage of collecting and recording data, reducing data, presenting data, processing and drawing conclusions. This is done to describe the state of the object being examined based on the facts in the field, so that accurate and systematic data can be obtained. Data is obtained by observation, distribution of questionnaires. The population of this study is all UMKM in 25 sub-districts in Samarinda. Sampling using purposive sampling method where 9 sub-districts were taken by UMKM in Samarinda

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