scholarly journals INFLUENCE OF CRITICAL SUCCESS FACTORS ON SUPPLY CHAIN PERFORMANCE OF COUNTY GOVERNMENTS IN KENYA

2019 ◽  
Vol 3 (4) ◽  
pp. 1-21
Author(s):  
PATRICIA SYOMBUA KIOKO ◽  
Dr. GEORGE OCHIRI

Purpose: The purpose of the study was to examine influence of critical success factors on performance of county governments in Kenya with an aim of making recommendations on proper use.Methodology: The study employed a descriptive research design, targeting 163 procurement officers in the 5 of 13 county governments in Kenya which had a budget allocation of above Kshs 8 Billion according to FY 2017/2018 budgetary allocation by the National Treasury, the five were chosen because of their close proximity to Nairobi. The researcher preferred this method because it allows an in-depth study of the subject. Data was collected using self-administered questionnaires. Structured questionnaire was used to collect data. Data was analyzed using descriptive and inferential statistics. Quantitative data was analyzed using multiple regression analysisResults: The independent variables reported R value of .846 indicating that there is perfect relationship between dependent variable and independent variables. R square value of 0.716 which means that 71.6% of the corresponding variation in supply chain performance of the county governments can be explained or predicted by (quality index management, asset utilization management, schedule management and cost metrics management) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 1.240), p=0.00 <0.05).Conclusion: The study therefore establishes that; quality index management, asset utilization management, schedule management and cost metrics management influence supply chain performance of county governments.Policy recommendation: The study recommends that procurement officers should ensure that they strictly follow operational procedures to ensure that projects undertaken are of the right quality, in the right quantity, at the right time, to the right place from the right source. This will aim at satisfaction of customers in terms of cost, quality, and timeliness of the delivered product or service, minimizing administrative operating costs.

2019 ◽  
Vol 3 (4) ◽  
pp. 1
Author(s):  
PATRICIA SYOMBUA KIOKO ◽  
Dr. GEORGE OCHIRI

Purpose: The purpose of the study was to examine influence of critical success factors on performance of county governments in Kenya with an aim of making recommendations on proper use.Methodology: The study employed a descriptive research design, targeting 163 procurement officers in the 5 of 13 county governments in Kenya which had a budget allocation of above Kshs 8 Billion according to FY 2017/2018 budgetary allocation by the National Treasury, the five were chosen because of their close proximity to Nairobi. The researcher preferred this method because it allows an in-depth study of the subject. Data was collected using self-administered questionnaires. Structured questionnaire was used to collect data. Data was analyzed using descriptive and inferential statistics. Quantitative data was analyzed using multiple regression analysisResults: The independent variables reported R value of .846 indicating that there is perfect relationship between dependent variable and independent variables. R square value of 0.716 which means that 71.6% of the corresponding variation in supply chain performance of the county governments can be explained or predicted by (quality index management, asset utilization management, schedule management and cost metrics management) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 1.240), p=0.00 <0.05).Conclusion: The study therefore establishes that; quality index management, asset utilization management, schedule management and cost metrics management influence supply chain performance of county governments.Policy recommendation: The study recommends that procurement officers should ensure that they strictly follow operational procedures to ensure that projects undertaken are of the right quality, in the right quantity, at the right time, to the right place from the right source. This will aim at satisfaction of customers in terms of cost, quality, and timeliness of the delivered product or service, minimizing administrative operating costs.


Author(s):  
Panyaluck Udomleartprasert ◽  
Chamnong Jungthirapanich

This chapter introduces critical success in supply chain implementation by empirical research. The widespread implementation of supply chain management induced companies to move beyond national borders and be enticed by the global competition in business. Applying supply chain management overall in organizations, companies generally considered it successful in managing their supply chains. However, some of them have not reached the magnitude of improvements or the desired results ascribed to supply chain management. With supply chain concerns and problems related to some basic companies’ infrastructures, the supply chain knowledge and operational skill affected the effectiveness of supply chain practices and performances. In this research, we studied the infrastructures enhancing the success of supply chain implementation that influence supply chain performance. The author adopts three categories of infrastructure as the critical success factors of supply chain implementation: man, machines, and management. The EQS is used to analyze the data collection. A total of 114 pieces of data were completed, and the result shows the significant relationship of operational infrastructures and the success of supply chain management.


Author(s):  
Debasish Roy

Though the transformative impact of analytics on supply chain is beyond doubt, however, analytics in itself is not leading to improvement in supply chain performance, leading to ‘Productivity paradox'. This is of concern to practitioners as analytics is needed to improve supply chain performance to achieve competitive advantage for the firm . For researchers, it is of interest to develop a comprehensive framework to study the conditions in which adoption of analytics in supply chain successfully transforms performance. This paper proposes a research framework to study the “perceived benefits” and the “facilitating conditions” of successful adoption. Based on the research findings the paper tabulates the perceived benefits of analytics on supply chain performance, aligned to the SCOR model. Based on findings of “facilitating conditions” the paper proposes that presence of “Extended Supply Chain”, “Information System capability” and a suite of “Digital technologies” is necessary to harness the insights of analytics, for achieving improved supply chain performance.


2020 ◽  
Vol 19 (04) ◽  
pp. 781-797
Author(s):  
Nejah Ben Mabrouk

The purpose of this paper is to provide a practical approach of prioritizing the most critical success factors influencing the supply chain performance in SMEs by using an interpretive structural modeling (ISM) approach. The MICMAC analysis has been also considered for identifying the factors having a high influential power. Our findings show that, on the one hand, the production system, flexibility, communication and planning tools, process strategy, environmental uncertainty and innovation are the major factors influencing the supply chain performance. On the other hand, relationships with customers and suppliers, marketing and quality are seen as unfavorable outcomes to the supply chain managers and practitioners. These findings may help the policy makers, managers, and practitioners in formulating the strategies and policies for implementation of effectiveness supply chain.


2017 ◽  
Vol 24 (3) ◽  
pp. 570-593 ◽  
Author(s):  
Vimal Kumar ◽  
Pratima Verma ◽  
R.R.K. Sharma ◽  
Ahmad Faraz Khan

Purpose In the context of emerging economies, the purpose of this paper is to seek the critical success factors (CSFs) of supply chain and identify their relationships to enhance the supply chain performance (SCP) in a sample of Indian manufacturing firms. Design/methodology/approach On the basis of a comprehensive literature review, the authors conducted this study and proposed a new model of antecedent and outcomes for SCP in emerging markets. The empirical data for this study were drawn from a survey of 227 Indian firms, resulting in a response rate of 52 percent. The method of confirmatory factor analysis was applied to refine the CSFs and SCP scale for empirical analysis. The data were analyzed by employing the structural equation modeling technique. Findings The results reveal that all the identified CSFs, namely, agility, flexibility, flexible innovation, information and communication technology, collaboration among conglomerate divisions, process structure, and training and leadership programs, are positively associated with SCP. The empirical study of 227 Indian firms lent good support to the hypotheses and validates it by the data analysis. Consequently, these findings highlight the prominence of these factors of supply chain for gaining a sustainable competitive advantage in emerging market scenario. Research limitations/implications The study emphasizes on CSFs in emerging markets that will help to boost the organization’s SCP through agility and flexibility in supply chain. This study is applicable for growing markets in which there is ample amount of resources. Originality/value As economic growth stagnates in developed economies, emerging markets grow at near double-digit rates. Somehow, this study is pioneer in terms of enhance SCP in emerging market scenario. Moreover, the outcome of the study could provide empirical evidence of the effects of CSFs on SCPs.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Patrícia Moura e Sá ◽  
Catarina Frade ◽  
Fernanda Jesus ◽  
Mónica Lopes ◽  
Teresa Maneca Lima ◽  
...  

PurposeWicked problems require collaborative innovation approaches. Understanding the problem from the users' perspective is essential. Based on a complex and ill-defined case, the purpose of the current paper is to identify some critical success factors in defining the “right problem” to be addressed.Design/methodology/approachAn empirical research study was carried out in a low-density municipality (case study). Extensive data were collected from official databases, individual semi-structured interviews and a focus group involving citizens, local authorities, civil servants and other relevant stakeholders.FindingsAs defined by the central government, the problem to be addressed by the research team was to identify which justice services should be made available locally to a small- and low-density community. The problem was initially formulated using top-down reasoning. In-depth contact with citizens and key local players revealed that the lack of justice services was not “the issue” for that community. Mobility constraints and the shortage of economic opportunities had a considerable impact on the lack of demand for justice services. By using a bottom-up perspective, it was possible to reframe the problem to be addressed and suggest a new concept to be tested at later stages.Social implicationsThe approach followed called attention to the importance of listening to citizens and local organisations with a profound knowledge of the territory to effectively identify and circumscribe a local problem in the justice field.Originality/valueThe paper highlights the limitations of traditional rational problem-solving approaches and contributes to expanding the voice-of-the-customer principle showing how it can lead to a substantially new definition of the problem to be addressed.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Isaac Sakyi Damoah

PurposeThis study explores the critical success factors (CSFs) in humanitarian supply chain management (HSCM) by focussing on flood disaster management (FDM) in Ghana.Design/methodology/approachAn in-depth semi-structured interview and questionnaire surveys in a sequential data collection approach were used to collect data from definitive stakeholders of humanitarian organisations. The data was analysed using exploratory factor analysis (EFA), confirmatory factors analysis (CFA) and structural equation modelling (SEM) techniques.FindingsSeventy-four factors were identified as success factors of HSCM of flood disaster management. However, 41 of these factors were statistically significant and considered as critical. In descending order, these factors relate to management practices, education and training, stakeholder involvement and cooperation, infrastructure, innovation and technology, materials and resources, administrative practices, socio-cultural and economic. Whilst some factors are internal to the humanitarian organisations, others are external factors that are beyond the control of humanitarian organisations.Research limitations/implicationsEven though this study offers empirical results that could guide policymakers in their decision-making about humanitarian operations, care needs to be taken since the data is within one country and within a specific disaster context – hence, policymakers need to consider the local contextual dynamics. Future studies could look at different disasters context to make a comparative analysis of various types of disaster operations.Practical implicationsInstitutions such as World Health Organization, Red Cross organisations and UN seeking to curbs global-warming-related disasters and the reduction of the effects of flood disaster can use findings as a guide during the formulation of HSCM policies and strategies.Originality/valueUnlike previous studies of humanitarian operations that focussed extensively on theoretical expositions, simulations, conceptual frameworks and models, this present study offers empirical evidence of humanitarian operations in the context of SCM. Further, by highlighting on the HSCM CSFs, this study contributes to disaster reduction and their effects on humanity in the context of FDM. This research could be used as guide by governments and FDM organisations to make informed decisions on SCM areas to focus the most during FDM.


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