scholarly journals RELATIONSHIP BETWEEN INVENTORY MANAGEMENT POLICIES AND SUPPLY CHAIN PERFORMANCE OF RETAIL SUPERMARKETS IN NAIROBI CITY COUNTY IN KENYA.

2019 ◽  
Vol 3 (2) ◽  
pp. 63
Author(s):  
Audilia Mkamburi Mkonu ◽  
Dr. James Ongwae Gichana
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Inventory Management ◽  
Stakeholder Management ◽  
Pearson Correlation ◽  
Supply Chain Performance ◽  
Independent Variables ◽  
Study Results ◽  
Management Policies ◽  
The Relationship

Purpose: To explore the relationship between inventory management policies and supply chain performance of supermarkets in Nairobi City County in Kenya. The study specifically sought to examine the relationship between inventory control policies, risk management policies,  information technology policies,  and stakeholder management policies and supply chain performance of retail supermarkets in Nairobi City County in Kenya. The study’s theoretical review was based on the Balanced Score Card, Contingency theory, Resource Based View and Stakeholder theory.Methodology: Descriptive research design which employed both qualitative and quantitative approaches was used to investigate the relationship between inventory management policies and supply chain performance. The target population was 112 supermarkets in Nairobi City County as listed in the 2016 master file of the Nairobi City County licensing department. Stratified random sampling was used to determine the study sample of 88 using Slovin’s sample size formula. Primary data was collected through questionnaires that were administered to supermarkets’ supply chain managers by drop and pick technique. Statistical Package for Social Scientists (SPSS) version 21 was used to code, enter, process and analyze data into descriptive and inferential statistics.Results:The study’s response rate was 84.1%. Pearson correlation Coefficient (r) and multiple regression models were used to determine the relationship between the study variables. ANOVA was also used to test the significance level of the independent variables on the dependent variable at 95% confidence level. The regression model study results had an adjusted R2 value of 0.672 which showed that the independent variables in the study were able to explain 67.2% variation in supply chain performance with the remaining 32.8 % being explained by other variables outside the model. The study findings established that a positive significant relationship exists between inventory management policies and supply chain performance of retail supermarkets in Nairobi City County in Kenya.Contribution to policy and practice: The study recommended that supermarkets supply chain managers to periodically assess their inventory management policies to ensure that they were effective and adequate in controlling inventory levels and the associated inventory risks while regulating the use of information technology and supporting stakeholder management policies that encourage good relations, timely payment to suppliers, employee efficiency and customer loyalty.

scholarly journals Effects of Inventory Management on The Performance of State Corporations in Kenya

2020 ◽  
Vol 4 (2) ◽  
pp. 27
Author(s):  
Kwambai Mercy Jelagat ◽  
Dr. Samson Nyang’au Paul
Keyword(s):  
Information Technology ◽  
Technology Integration ◽  
Inventory Control ◽  
Inventory Management ◽  
P Value ◽  
Demand And Supply ◽  
Independent Variables ◽  
Control Techniques ◽  
Unit Increase ◽  
The Relationship

Purpose: The purpose of the study was to determine the effects of inventory management on the performance of state corporations in Kenya with an aim of making recommendations.Methodology: The study employed a descriptive research design. The researcher preferred this method because it allows an in-depth study of the subject. Data was collected using self-administered questionnaires. The study employed stratified random sampling technique in coming up with a sample size. Pilot study was carried out to establish the validity and reliability of the research instruments. The instruments were designed appropriately according to the study objectives. The data collected was analyzed by use of descriptive and inferential statistics. The study used multiple regression and correlation analysis to show the relationship between the dependent variable and the independent variables. The data generated was keyed in and analyzed by use of Statistical Package of Social Sciences (SPSS) version 24 to generate information which was presented using charts, frequencies and percentagesResults and conclusion: The regression equation above has established that taking all factors into account (inventory categorization, inventory control techniques, information technology integration and demand and supply forecasting) constant at zero, performance of state corporations in Kenya will be an index of 0.817.The findings presented also shows that taking all other independent variables at zero, a unit increase in inventory categorization will lead to a 0.537 increase in performance of state corporations in Kenya. The P-value was 0.000 which is less 0.05 and thus the relationship was significant. The study also found that a unit increase in inventory control techniques will lead to a 0.097 increase in performance of state corporations in Kenya. The P-value was 0.002 and thus the relationship was significant. In addition, the study found that a unit increase in information technology integration will lead to a 0.067 increase in the performance of state corporations in Kenya. The P-value was 0.000 and thus the relationship was significant. Lastly, the study found that a unit increase in demand and supply forecasting will lead to a 0.08 increase in the performance of state corporations in Kenya. The P-value was 0.001 and hence the relationship was significant since the p-value was lower than 0.05. The findings of the study show that, inventory categorization contributed most to the performance of state corporations in Kenya. The findings of the study indicated that; safety stock management, inventory control techniques, information technology integration and demand and supply forecasting have a positive relationship with performance of state corporations.Unique contribution to theory, policy and practice: Finally, the study recommended that public institutions should embrace inventory optimization practices so as to improve their performance and further researches should to be carried out in other public entities to find out if the same results can be obtained.

Environmental uncertainty and supply chain performance: the effect of agility

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
R. Anthony Inman ◽  
Kenneth W. Green
Keyword(s):  
Supply Chain ◽  
Environmental Uncertainty ◽  
Agile Manufacturing ◽  
Equation Modeling ◽  
Alternative View ◽  
Supply Chain Performance ◽  
Content Type ◽  
Supply Chain Agility ◽  
Study Results ◽  
The Relationship

PurposeToday's businesses are facing a world that is more complex, turbulent and unpredictable than in the past with increasing levels of environmental complexity. Rather than proposing environmental uncertainty as a mediator/moderator of the relationship between agility and performance as others have done, the authors offer an alternative view where supply chain agility is seen as mediating the relationship between environmental uncertainty and supply chain performance.Design/methodology/approachThe authors propose that supply chain agility is a response to the effects of environmental uncertainty and, as such, environmental uncertainty should be seen as a driver of supply chain agility. Few studies test the direct relationship between uncertainty and supply chain performance, and none simultaneously test for agility's mediation and moderation effect between environmental uncertainty and agility.FindingsThe model was statistically assessed using partial-least-squares structural equation modeling (PLS/SEM) by analyzing survey data from manufacturing managers in 136 US firms. The study results did not indicate a significant relationship between environmental uncertainty and supply chain performance. However, the authors did find a significant positive relationship between agile manufacturing and supply chain performance using measures that were primarily operations-centered rather than financial. Additionally, the authors found that agile manufacturing fully mediates the relationship between environmental uncertainty and supply chain performance.Originality/valueThe authors’ model, though simple, provides a base for future research for them and other researchers who can incorporate other impacting variables into the model. The study results show that uncertainty can be a force for good and that utilizing agile manufacturing can be a new source of opportunity.

scholarly journals The Relationship Between the Critical Factors for Knowledge Management in Supply Chain Efficiency Amol's Kalleh Dairy Company

2021 ◽  
Vol 04 (03) ◽  
Author(s):  
Seyedeh Malihe Mohammadi Takami ◽  
Keyword(s):  
Knowledge Management ◽  
Supply Chain ◽  
Dairy Products ◽  
Pearson Correlation ◽  
Organizational Strategy ◽  
Knowledge Map ◽  
Critical Factors ◽  
Statistical Population ◽  
Independent Variables ◽  
The Relationship

Organizations that operate in a variable and complex, competitive environment are continually looking for a sustainable competitive advantage. In this regard, knowledge management is one of the most critical factors affecting the success of organizations. Relying on knowledge and knowledge management, organizations can make more reasonable decisions and achieve sustainable development. Therefore, knowledge management is one of the most influential and essential factors in comprehensive development and gaining a more significant market share. This study's primary purpose was to investigate the relationship between critical aspects of knowledge management on Kale Amol Dairy Products Company's supply chain productivity. Five main factors of organizational strategy, organizational structure, knowledge team, knowledge map, and knowledge audit were used as independent variables to achieve this goal. The research method was a correlation, and data collection tools were library and internet resources. The statistical population consisted of high and middle-class managers and staff members involved in knowledge management and supply chain in Amol Calais Dairy Products Company, of which 58 were. Chang china et al. standard questionnaire was used to measure the variables, and SPSS software was used to analyze the statistical data. Descriptive statistics were used for the frequency of data. The Pearson correlation test was used to determine the relationship between variables, and the Friedman test was used to prioritize the variables. After data analysis, it was found that there is a relationship between all independent variables and supply chain productivity. The knowledge map variable had the highest and organizational strategy variable with the lowest relationship with the dependent variable among independent variables.

The mediating effect of supply chain flexibility on the relationship between supply chain integration and supply chain performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anurodhsingh Khanuja ◽  
Rajesh Kumar Jain
Keyword(s):  
Supply Chain ◽  
Survey Methodology ◽  
Mediating Effect ◽  
Supply Chain Integration ◽  
Supply Chain Performance ◽  
Business Practices ◽  
Chain Flexibility ◽  
Content Type ◽  
Supplier Integration ◽  
The Relationship

PurposeSupply chain integration (SCI) and flexibility (SCF) are recognised as crucial business practices and capability in the global competitive market. However, limited research has paid attention to study the relationship between SCI, SCF and their impact on supply chain performance (SCP). Therefore, the purpose of this paper is to establish a relationship between integration, flexibility and performance.Design/methodology/approachThe structural equation modelling technique was used to analyse the 187 data collected from Indian organisations through the survey methodology.FindingsFindings indicate that external integration contributes significantly to realise SCF and SCP. Sourcing and logistics flexibility also help to improve the SCP. The mediation analysis showed that the association of customer and supplier integration with SCP is partially and fully mediated by logistics flexibility, respectively. This study suggests that integration influences the SCP when the firm has a strong association with downstream partners and enough capability for logistics flexibility.Research limitations/implicationsThe study has collected cross-sectional data to analyse the relationship between SCI, SCF and SCP. However, as integration requires an effort of the years, longitudinal data and industry-specific studies may provide comprehensive views to validate the results of this study.Originality/valueBuilding on relational view theory and dynamic capability theory, the study has proposed the SCP assessment framework based on the relationship between SCI and SCF.

The impact of cloud-enabled process integration on supply chain performance and firm sustainability: the moderating role of top management

2018 ◽  
Vol 23 (6) ◽  
pp. 500-517 ◽  
Author(s):  
Himanshu Shee ◽  
Shah Jahan Miah ◽  
Leon Fairfield ◽  
Nyoman Pujawan
Keyword(s):  
Supply Chain ◽  
Information And Communication Technologies ◽  
Structural Equation ◽  
Moderating Effect ◽  
Top Management ◽  
Supply Chain Performance ◽  
Unique Contribution ◽  
Content Type ◽  
The Impact ◽  
The Relationship

PurposeTheorising from the intersection of supply chain and information systems (IS) literature, this study aims to investigate supply chain integration (SCI) as a multidimensional construct in the context of cloud-based technology and explores the effect of cloud-enabled SCI on supply chain performance, which will eventually improve firm sustainability from a resource-based view (RBV). In addition, the moderating effect of top management is explored.Design/methodology/approachUsing cross-sectional survey data collected from a sample of 105 Australian retail firms, this study used structural equation modelling to test the hypothesised relationship of cloud-enabled SCI with performance in a theoretical model.FindingsResults show that cloud-based technology has positive effect on SCI, and the cloud-enabled SCI is positively related to supply chain performance which eventually influenced firm sustainability. Further, top management intervention moderates the relationship between supplier and internal integration with supply chain performance. But it is found to have no moderating effect on the relationship between customer integration and supply chain performance.Practical implicationsRecognising the potential benefits of emerging cloud-based technologies reported in this study, retail managers need to understand that higher order SCI requires the support of cloud-based technology to improve supply chain performance and firm sustainability.Originality/valueThis research extends prior research of information and communication technologies-enabled SCI and its effect on supply chain performance which overly remains inconsistent. In addition, IS literature abounds with discussion on cloud computing technologyper se, and its adoption in supply chain is overly rhetoric. This study fills this gap by conceptualising the multiple dimensions of SCI enabled by cloud-based technology and the way it affects supply chain and firm sustainable performance. Investigating SCI in context of cloud-based technology is a unique contribution in this study. The moderating effect of top management in this decision also adds to the current body of literature.

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