Netsanet Jote - Academia.edu (original) (raw)
Papers by Netsanet Jote
— Micro and Small Enterprises ’ (MSEs) cluster is a group of small firms operating in a defined g... more — Micro and Small Enterprises ’ (MSEs) cluster is a group of small firms operating in a defined geographic location, producing similar products or services, cooperating and competing with one another, learning from each other to solve internal problems, setting common strategies to overcome external challenges, and reaching distance markets through developed networks. During recent years, identifying MSEs cluster has become a key strategic decision. However, the nature of these decisions is usually complex and involves conflicting criteria. The aim of this paper is to develop an AHP-based MSEs cluster identification model. As a result, quantitative and qualitative factors including geographical proximity, sectorial concentration, market potential, support services, resource potential and potential entrepreneurs are found to be critical factors in cluster identification. In this paper, linguistic values are used to assess the ratings and weights of the factors. Then, AHP model will b...
In every transaction, either in buying or selling, inspecting whether products comply with the de... more In every transaction, either in buying or selling, inspecting whether products comply with the describe standards is very essential. Since, hundred percent inspections are not recommended or it may not be practical, sampling a lot and deciding to accept or reject is a well-practiced approach. However, the accuracy of this method is highly dependent on the design of acceptance sampling plan. In acceptance sampling applications, there are two unavoidable risks. One is the risk of rejecting a good lot, called the producer’s risk (α), and the other is the risk of accepting a bad lot called the consumer’s risk (β). Both the producer and the consumer focus on particular points on the operating characteristics (OC) curve to reflect their interests.The aim of this study is to reduce the consumer’s risk (β) through the design of acceptance sampling plan. Addis Ababa Bottle and Glass Share Company (AABGSCo), the oldest glass bottle producer Ethiopian manufacturing industry, is selected and st...
Micro and Small Enterprises (MSEs) cluster is a group of small firms operating in a defined geogr... more Micro and Small Enterprises (MSEs) cluster is a group of small firms operating in a defined geographic location, producing similar products or services, cooperating and competing with one another, learning from each other to solve internal problems, setting common strategies to overcome external challenges, and reaching distance markets through developed networks. During recent years, identifying MSEs cluster has become a key strategic decision. However, the nature of these decisions is usually complex and involves conflicting criteria. The aim of this paper is to develop a Fuzzy AHP-based MSEs cluster identification model. As a result, quantitative and qualitative factors including geographical proximity, sectorial concentration, market potential, support services, resource potential and potential entrepreneurs are found to be critical factors in cluster identification. In this paper, linguistic values are used to assess the ratings and weights of the factors. Then, AHP model based...
Advances in Intelligent Systems and Computing, 2015
International Journal of Marketing Studies, 2013
Advances in Intelligent Systems and Computing, 2014
ABSTRACT Identifying industrial cluster has become a key strategic decision, during recent years.... more ABSTRACT Identifying industrial cluster has become a key strategic decision, during recent years. However, the nature of these decisions is usually uncertain and vague. From the existing methods, there is no single method which handles the uncertainty. This paper proposes a Fuzzy-AHP based industrial cluster identification model to solve the pitfalls with the exiting cluster identification methods. As a result, quantitative and qualitative factors including geographical proximity, sectorial concentration, market potential, support services, resource potential and potential entrepreneurs are found to be critical factors in cluster identification. In this paper, linguistic values are used to assess the ratings and weights of the factors. Then, AHP model based on fuzzy-sets theory will be proposed in dealing with the cluster selection problems. Finally, Ethiopian Tanning industries were taken to prove and validate the procedure of the proposed method. A sensitivity analysis is also performed to justify the results.
2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR), 2013
Micro and Small Enterprises' (MSEs) cluster is a group of small firms operating in a defined geog... more Micro and Small Enterprises' (MSEs) cluster is a group of small firms operating in a defined geographic location, producing similar products or services, cooperating and competing with one another, learning from each other to solve internal problems, setting common strategies to overcome external challenges, and reaching distance markets through developed networks. During recent years, identifying MSEs cluster has become a key strategic decision. However, the nature of these decisions is usually complex and involves conflicting criteria. The aim of this paper is to develop an AHP-based MSEs cluster identification model. As a result, quantitative and qualitative factors including geographical proximity, sectorial concentration, market potential, support services, resource potential and potential entrepreneurs are found to be critical factors in cluster identification. In this paper, linguistic values are used to assess the ratings and weights of the factors. Then, AHP model will be proposed in dealing with the cluster selection problems. Finally, a case study was taken to prove and validate the procedure of the proposed method. A sensitivity analysis is also performed to justify the results.
— Micro and Small Enterprises ’ (MSEs) cluster is a group of small firms operating in a defined g... more — Micro and Small Enterprises ’ (MSEs) cluster is a group of small firms operating in a defined geographic location, producing similar products or services, cooperating and competing with one another, learning from each other to solve internal problems, setting common strategies to overcome external challenges, and reaching distance markets through developed networks. During recent years, identifying MSEs cluster has become a key strategic decision. However, the nature of these decisions is usually complex and involves conflicting criteria. The aim of this paper is to develop an AHP-based MSEs cluster identification model. As a result, quantitative and qualitative factors including geographical proximity, sectorial concentration, market potential, support services, resource potential and potential entrepreneurs are found to be critical factors in cluster identification. In this paper, linguistic values are used to assess the ratings and weights of the factors. Then, AHP model will b...
In every transaction, either in buying or selling, inspecting whether products comply with the de... more In every transaction, either in buying or selling, inspecting whether products comply with the describe standards is very essential. Since, hundred percent inspections are not recommended or it may not be practical, sampling a lot and deciding to accept or reject is a well-practiced approach. However, the accuracy of this method is highly dependent on the design of acceptance sampling plan. In acceptance sampling applications, there are two unavoidable risks. One is the risk of rejecting a good lot, called the producer’s risk (α), and the other is the risk of accepting a bad lot called the consumer’s risk (β). Both the producer and the consumer focus on particular points on the operating characteristics (OC) curve to reflect their interests.The aim of this study is to reduce the consumer’s risk (β) through the design of acceptance sampling plan. Addis Ababa Bottle and Glass Share Company (AABGSCo), the oldest glass bottle producer Ethiopian manufacturing industry, is selected and st...
Micro and Small Enterprises (MSEs) cluster is a group of small firms operating in a defined geogr... more Micro and Small Enterprises (MSEs) cluster is a group of small firms operating in a defined geographic location, producing similar products or services, cooperating and competing with one another, learning from each other to solve internal problems, setting common strategies to overcome external challenges, and reaching distance markets through developed networks. During recent years, identifying MSEs cluster has become a key strategic decision. However, the nature of these decisions is usually complex and involves conflicting criteria. The aim of this paper is to develop a Fuzzy AHP-based MSEs cluster identification model. As a result, quantitative and qualitative factors including geographical proximity, sectorial concentration, market potential, support services, resource potential and potential entrepreneurs are found to be critical factors in cluster identification. In this paper, linguistic values are used to assess the ratings and weights of the factors. Then, AHP model based...
Advances in Intelligent Systems and Computing, 2015
International Journal of Marketing Studies, 2013
Advances in Intelligent Systems and Computing, 2014
ABSTRACT Identifying industrial cluster has become a key strategic decision, during recent years.... more ABSTRACT Identifying industrial cluster has become a key strategic decision, during recent years. However, the nature of these decisions is usually uncertain and vague. From the existing methods, there is no single method which handles the uncertainty. This paper proposes a Fuzzy-AHP based industrial cluster identification model to solve the pitfalls with the exiting cluster identification methods. As a result, quantitative and qualitative factors including geographical proximity, sectorial concentration, market potential, support services, resource potential and potential entrepreneurs are found to be critical factors in cluster identification. In this paper, linguistic values are used to assess the ratings and weights of the factors. Then, AHP model based on fuzzy-sets theory will be proposed in dealing with the cluster selection problems. Finally, Ethiopian Tanning industries were taken to prove and validate the procedure of the proposed method. A sensitivity analysis is also performed to justify the results.
2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR), 2013
Micro and Small Enterprises' (MSEs) cluster is a group of small firms operating in a defined geog... more Micro and Small Enterprises' (MSEs) cluster is a group of small firms operating in a defined geographic location, producing similar products or services, cooperating and competing with one another, learning from each other to solve internal problems, setting common strategies to overcome external challenges, and reaching distance markets through developed networks. During recent years, identifying MSEs cluster has become a key strategic decision. However, the nature of these decisions is usually complex and involves conflicting criteria. The aim of this paper is to develop an AHP-based MSEs cluster identification model. As a result, quantitative and qualitative factors including geographical proximity, sectorial concentration, market potential, support services, resource potential and potential entrepreneurs are found to be critical factors in cluster identification. In this paper, linguistic values are used to assess the ratings and weights of the factors. Then, AHP model will be proposed in dealing with the cluster selection problems. Finally, a case study was taken to prove and validate the procedure of the proposed method. A sensitivity analysis is also performed to justify the results.