scholarly journals RELATIONSHIP BETWEEN HEDGING RISK MANAGEMENT STRATEGY AND SUPPLY CHAIN PERFORMANCE AMONG MANUFACTURING COMPANIES IN KENYA

2017 ◽  
Vol 1 (2) ◽  
pp. 82
Author(s):  
Dr.David Kiarie ◽  
Dr. Patrick Ngugi ◽  
Dr. Kennedy Ogollah
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Sample Size ◽  
Lead Time ◽  
Management Strategy ◽  
Supply Chain Performance ◽  
Manufacturing Companies ◽  
Risk Management Strategy ◽  
Cycle Times ◽  
Supply Chain Costs

Purpose: The purpose of this study was to determine therelationship between hedging risk management strategy and supply chain performance among manufacturing companies in KenyaMethodology:The study adopted a cross-section survey of descriptive nature .The target population comprised of the 412 manufacturing companies within Nairobi County that were registered members of KAM. The fisher et al formula for calculating the sample size was used to yield a sample size of199. Data was collected using questionnaires and analyzed using statistical package of social sciences (SPSS) version 21 as a tool of analysis.Results: The study findings revealed that the companies that increased buffer stock at various levels in the supply chain. Increasing buffer stock at various levels in the supply chain resulted to decreased lead time, improved quality and reduced cost. Results also showed that most of the companies ‘conducted reduce order cycle times. Conducting reduce order cycle times resulted to decreased lead time, improved quality and reduced cost. Further, the results revealed that most of the companies shared supply chain costs with partners. Sharing supply chain costs with partners resulted to decreased lead time, improved quality and reduced cost.Policy recommendation:the study recommended that manufacturing companies should put in place a risk analysis and evaluation management strategy to enhance supply chain performance. In particular, companies should consider conducting whole life costing of suppliers and also internal quality of suppliers.

scholarly journals RELATIONSHIP BETWEEN HEDGING RISK MANAGEMENT STRATEGY AND SUPPLY CHAIN PERFORMANCE AMONG MANUFACTURING COMPANIES IN KENYA

2017 ◽  
Vol 1 (2) ◽  
pp. 82-100
Author(s):  
Dr.David Kiarie ◽  
Dr. Patrick Ngugi ◽  
Dr. Kennedy Ogollah
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Sample Size ◽  
Lead Time ◽  
Management Strategy ◽  
Supply Chain Performance ◽  
Manufacturing Companies ◽  
Risk Management Strategy ◽  
Cycle Times ◽  
Supply Chain Costs

Purpose: The purpose of this study was to determine therelationship between hedging risk management strategy and supply chain performance among manufacturing companies in KenyaMethodology:The study adopted a cross-section survey of descriptive nature .The target population comprised of the 412 manufacturing companies within Nairobi County that were registered members of KAM. The fisher et al formula for calculating the sample size was used to yield a sample size of199. Data was collected using questionnaires and analyzed using statistical package of social sciences (SPSS) version 21 as a tool of analysis.Results: The study findings revealed that the companies that increased buffer stock at various levels in the supply chain. Increasing buffer stock at various levels in the supply chain resulted to decreased lead time, improved quality and reduced cost. Results also showed that most of the companies ‘conducted reduce order cycle times. Conducting reduce order cycle times resulted to decreased lead time, improved quality and reduced cost. Further, the results revealed that most of the companies shared supply chain costs with partners. Sharing supply chain costs with partners resulted to decreased lead time, improved quality and reduced cost.Policy recommendation:the study recommended that manufacturing companies should put in place a risk analysis and evaluation management strategy to enhance supply chain performance. In particular, companies should consider conducting whole life costing of suppliers and also internal quality of suppliers.

scholarly journals RISK MANAGEMENT STRATEGY AND SUPPLY CHAIN PERFORMANCE AMONG MANUFACTURING COMPANIES IN KENYA

2017 ◽  
Vol 1 (1) ◽  
pp. 1-21
Author(s):  
Dr.David Kiarie ◽  
Dr. Patrick Ngugi ◽  
Dr. Kennedy Ogollah
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Management Strategy ◽  
P Value ◽  
Supply Chain Performance ◽  
Manufacturing Companies ◽  
Risk Management Strategy ◽  
Analysis And Evaluation ◽  
Whole Life Costing ◽  
The Relationship

Purpose: The purpose of this study was to determine risk management strategy and supply chain performance among manufacturing companies in KenyaMethodology: The study adopted a cross-section survey of descriptive nature. The target population comprised of the 412 manufacturing companies within Nairobi County that were registered members of KAM. The fisher et al formula for calculating the sample size was used to yield a sample size of199. Data was collected using questionnaires and analyzed using statistical package of social sciences (SPSS) version 21 as a tool of analysis. In trying to explain the relationship between different variables in the study, Odd ratio regression was adopted as an appropriate method of analyzing the relationship between multiple variables requiring simultaneous comparison.Results: The study findings revealed that the constructs of risk identification management strategy combined together influenced supply chain performance as supported by a p value of 0.000.Further, most of the companies had risk analysis and evaluation management strategy in place. The study also concluded that the odds of observing better lead time and odds of improved quality were higher for those companies that conducted whole life costing of suppliers (p value- 0.023) and internal controls of suppliers (p value- 0.049)Policy recommendation: the study recommended that manufacturing companies should put in place a risk analysis and evaluation management strategy to enhance supply chain performance. In particular, companies should consider conducting whole life costing of suppliers and also internal quality of suppliers.

scholarly journals RISK MANAGEMENT STRATEGY AND SUPPLY CHAIN PERFORMANCE AMONG MANUFACTURING COMPANIES IN KENYA

2017 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Dr.David Kiarie ◽  
Dr. Patrick Ngugi ◽  
Dr. Kennedy Ogollah
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Management Strategy ◽  
P Value ◽  
Supply Chain Performance ◽  
Manufacturing Companies ◽  
Risk Management Strategy ◽  
Analysis And Evaluation ◽  
Whole Life Costing ◽  
The Relationship

Purpose: The purpose of this study was to determine risk management strategy and supply chain performance among manufacturing companies in KenyaMethodology: The study adopted a cross-section survey of descriptive nature. The target population comprised of the 412 manufacturing companies within Nairobi County that were registered members of KAM. The fisher et al formula for calculating the sample size was used to yield a sample size of199. Data was collected using questionnaires and analyzed using statistical package of social sciences (SPSS) version 21 as a tool of analysis. In trying to explain the relationship between different variables in the study, Odd ratio regression was adopted as an appropriate method of analyzing the relationship between multiple variables requiring simultaneous comparison.Results: The study findings revealed that the constructs of risk identification management strategy combined together influenced supply chain performance as supported by a p value of 0.000.Further, most of the companies had risk analysis and evaluation management strategy in place. The study also concluded that the odds of observing better lead time and odds of improved quality were higher for those companies that conducted whole life costing of suppliers (p value- 0.023) and internal controls of suppliers (p value- 0.049)Policy recommendation: the study recommended that manufacturing companies should put in place a risk analysis and evaluation management strategy to enhance supply chain performance. In particular, companies should consider conducting whole life costing of suppliers and also internal quality of suppliers.

scholarly journals RELATIONSHIP BETWEEN RISK IDENTIFICATION MANAGEMENT STRATEGY AND SUPPLY CHAIN PERFORMANCE AMONG MANUFACTURING COMPANIES IN KENYA

2017 ◽  
Vol 1 (2) ◽  
pp. 101-118
Author(s):  
Dr.David Kiarie ◽  
Dr. Patrick Ngugi ◽  
Dr. Kennedy Ogollah
Keyword(s):  
Supply Chain ◽  
Sample Size ◽  
Management Strategy ◽  
Target Population ◽  
Risk Identification ◽  
Internal Quality ◽  
P Value ◽  
Supply Chain Performance ◽  
Manufacturing Companies ◽  
Whole Life Costing

Purpose: The purpose of this study was to determine relationship between risk identification management strategy and supply chain performance among manufacturing companies in KenyaMethodology:The study adopted a cross-section survey of descriptive nature .The target population comprised of the 412 manufacturing companies within Nairobi County that were registered members of KAM. The fisher et al formula for calculating the sample size was used to yield a sample size of199. Data was collected using questionnaires and analyzed using statistical package of social sciences (SPSS) version 21 as a tool of analysis.Results: The study findings revealed that the constructs of risk identification management strategy combined together influenced supply chain performance as supported by a p value of 0.000.)Policy recommendation: the study recommended that manufacturing companies should put in place a risk analysis and evaluation management strategy to enhance supply chain performance. In particular, companies should consider conducting whole life costing of suppliers and also internal quality of suppliers.

RELATIONSHIP BETWEEN RISK IDENTIFICATION MANAGEMENT STRATEGY AND SUPPLY CHAIN PERFORMANCE AMONG MANUFACTURING COMPANIES IN KENYA

2017 ◽  
Vol 1 (2) ◽  
pp. 101
Author(s):  
Dr.David Kiarie ◽  
Dr. Patrick Ngugi ◽  
Dr. Kennedy Ogollah
Keyword(s):  
Supply Chain ◽  
Sample Size ◽  
Management Strategy ◽  
Target Population ◽  
Risk Identification ◽  
Internal Quality ◽  
P Value ◽  
Supply Chain Performance ◽  
Manufacturing Companies ◽  
Whole Life Costing

Purpose: The purpose of this study was to determine relationship between risk identification management strategy and supply chain performance among manufacturing companies in KenyaMethodology:The study adopted a cross-section survey of descriptive nature .The target population comprised of the 412 manufacturing companies within Nairobi County that were registered members of KAM. The fisher et al formula for calculating the sample size was used to yield a sample size of199. Data was collected using questionnaires and analyzed using statistical package of social sciences (SPSS) version 21 as a tool of analysis.Results: The study findings revealed that the constructs of risk identification management strategy combined together influenced supply chain performance as supported by a p value of 0.000.)Policy recommendation: the study recommended that manufacturing companies should put in place a risk analysis and evaluation management strategy to enhance supply chain performance. In particular, companies should consider conducting whole life costing of suppliers and also internal quality of suppliers.

RELATIONSHIP BETWEEN RISKS MONITORING & CONTROL MANAGEMENT STRATEGY AND SUPPLY CHAIN PERFORMANCE AMONG MANUFACTURING COMPANIES IN KENYA

2017 ◽  
Vol 1 (2) ◽  
pp. 119
Author(s):  
Dr.David Mburu Kiarie
Keyword(s):  
Supply Chain ◽  
Risk Analysis ◽  
Sample Size ◽  
Management Strategy ◽  
Risk Identification ◽  
P Value ◽  
Supply Chain Performance ◽  
Manufacturing Companies ◽  
Analysis And Evaluation ◽  
Control Management

Purpose: The purpose of this study was to determine the relationship between risks monitoring and control management strategy and supply chain performance among manufacturing companies in Kenya.Methodology:The study adopted a cross-section survey of descriptive nature .The target population comprised of the 412 manufacturing companies within Nairobi County that were registered members of KAM. The fisher et al formula for calculating the sample size was used to yield a sample size of199. Data was collected using questionnaires and analyzed using statistical package of social sciences (SPSS) version 21 as a tool of analysis.Results: The study findings revealed that the constructs of risk identification management strategy combined together influenced supply chain performance as supported by a p value of 0.000.Further, most of the companies had risk analysis and evaluation management strategy in place.Policy recommendation:the study recommended that manufacturing companies should put in place a risk analysis and evaluation management strategy to enhance supply chain performance.

scholarly journals RELATIONSHIP BETWEEN RISKS MONITORING & CONTROL MANAGEMENT STRATEGY AND SUPPLY CHAIN PERFORMANCE AMONG MANUFACTURING COMPANIES IN KENYA

2017 ◽  
Vol 1 (2) ◽  
pp. 119-135
Author(s):  
Dr.David Mburu Kiarie
Keyword(s):  
Supply Chain ◽  
Risk Analysis ◽  
Sample Size ◽  
Management Strategy ◽  
Risk Identification ◽  
P Value ◽  
Supply Chain Performance ◽  
Manufacturing Companies ◽  
Analysis And Evaluation ◽  
Control Management

Purpose: The purpose of this study was to determine the relationship between risks monitoring and control management strategy and supply chain performance among manufacturing companies in Kenya.Methodology:The study adopted a cross-section survey of descriptive nature .The target population comprised of the 412 manufacturing companies within Nairobi County that were registered members of KAM. The fisher et al formula for calculating the sample size was used to yield a sample size of199. Data was collected using questionnaires and analyzed using statistical package of social sciences (SPSS) version 21 as a tool of analysis.Results: The study findings revealed that the constructs of risk identification management strategy combined together influenced supply chain performance as supported by a p value of 0.000.Further, most of the companies had risk analysis and evaluation management strategy in place.Policy recommendation:the study recommended that manufacturing companies should put in place a risk analysis and evaluation management strategy to enhance supply chain performance.

Risk and Performance within Supply Chains - Case of Moroccan Industries

2018 ◽  
Vol 34 ◽  
pp. 189-197 ◽  
Author(s):  
Mariam El Hiri ◽  
Abdelali En-Nadi ◽  
Anas Chafi
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Quantitative Data ◽  
Management Strategy ◽  
Management Systems ◽  
Research Model ◽  
Risk Management Strategy ◽  
Supply Chain Risk ◽  
Upstream Part ◽  
And Performance

The big challenge for each company is the implementation of an appropriate risk management strategy. Through this work, we seek to draw up an inventory of Moroccan companies supply chain. The objective is to identify the main risks, their relationship with the performance of the supply chain and to establish an overview of the risk management systems. For this reason, a research model was developed and concretized by quantitative data collected from 29 Moroccan companies. The analysis of the data show that the performance of the supply chain is strongly influenced by the importance of supply chain risk in particular the supplier and demand risks, and leads to insist on the importance of integrating a device adapted to the management of these Risks, especially in the upstream part of the supply chain.

scholarly journals Agricultural Supply Chain Risk Management Under Price and Demand Uncertainty

2021 ◽  
Vol 10 (2) ◽  
pp. 17-32
Author(s):  
Pritee Ray
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Management Strategy ◽  
Expected Profit ◽  
Base Case ◽  
Risk Management Strategy ◽  
Case Scenario ◽  
Base Case Scenario ◽  
The Impact ◽  
Agricultural Supply

Agricultural supply chain (ASC) plays a vital role for sustainability as it is the main source of food supply. ASC encounters more sources of risk due to seasonality, perishability, and weather conditions, which makes the global food security system complex. This paper develops an optimization model for a perishable product supply chain to decide the optimal risk management strategy that maximizes the decision maker's expected profit under demand and price uncertainty. A base-case scenario is considered to show the impact of risk management strategy on performance improvement. The expected profit of the decision maker is obtained for different combination of strategies, and sensitivity analysis is performed to show the impact of perishability on the percentage of improvement from the base case scenario. The results show that backup supplier strategy is very effective during the yield disruption, but it is not as effective during harvest disruption. Hence, a single approach is inadequate to provide solution in all types of risk scenarios; thus, the combination of approaches is most effective.

Sign in / Sign up

Export Citation Format

Share Document