scholarly journals Information technology tools and supply chain performance of online retailers in Calabar Metropolis, Cross River State, Nigeria

2018 ◽  
Vol 17 (1) ◽  
pp. 55
Author(s):  
Nsobiari Festus Awara ◽  
Esther Godwin Udoh ◽  
Joseph Amaechi Anyadighibe
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Supply Chain Performance ◽  
Cross River ◽  
Cross River State ◽  
Technology Tools ◽  
Online Retailers

Impact of novel information technology on IT alignment and sustainable supply chain performance: evidence from Chinese manufacturing industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shushan Zhang ◽  
Lei Sun ◽  
Qi Sun ◽  
Haiying Dong
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Manufacturing Industry ◽  
Two Dimensions ◽  
Three Dimensions ◽  
Supply Chain Performance ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
It Alignment ◽  
The Impact

Purpose This paper aims to explore how the novel information technology (NIT) [1] affects three dimensions of sustainable supply chain performance (economic performance, environmental performance and social performance) and how two dimensions of IT alignment (IT infrastructure alignment and IT human resources alignment) mediate the relationship between them. Design/methodology/approach NIT is defined, the dimension of IT alignment is expanded, the theoretical hypotheses are proposed and are tested using survey data from 394 manufacturing enterprises using NIT in China. Findings The results indicate that NIT plays a positive role in improving sustainable supply chain performance, and IT alignment mediates the impact of NIT on sustainable supply chain performance. Originality/value This study highlights the impact of NIT on sustainable supply chain performance and demonstrates IT alignment as a mediator between them, it also provides a deeper understanding of how different dimensions of IT alignment affect sustainable supply chain performance

scholarly journals Information technology investments and supply chain governance

2014 ◽  
Vol 18 (2) ◽  
pp. 217-235 ◽  
Author(s):  
Pietro Cunha Dolci ◽  
Antonio Carlos Gastaud Maçada
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Supply Chain Performance ◽  
Extensive Literature ◽  
Final Model ◽  
It Investments ◽  
Information Technology Investments ◽  
Supply Chain Governance ◽  
And Performance ◽  
Shed Light

The aim of this research is to propose a model that relates information technology (IT) investments, supply chain governance (SCG) and performance together. For this purpose, a pilot study involving both a qualitative and a quantitative stage was conducted. The qualitative analysis, consisting of an extensive literature review and two case studies conducted in six major, globally-relevant Brazilian companies, led to the development of an initial model. This model was refined during the quantitative stage that involved 38 executives from large national companies. IT was found to be one of the main drivers of SCG influencing companies' supply chain performance. The final model consists of 5 constructs and 26 elements. Regarding the SCG constructs: (a) a new element 'formal contracts', emerged in the 'contractual SCG' construct; (b) the element 'cooperation' was not confirmed in the 'relational SCG' construct; (c) the element 'transparency' was considered an important element in the 'transactional SCG' construct. Five new elements emerged in the 'IT investment' construct. Market aspects were highlighted as being relevant in the 'supply chain performance' construct. Thus, the model includes elements that can be analyzed in order to shed light on how IT investments influence SCG and supply chain performance.

Information technology is an enabling factor affecting supply chain performance in Indian SMEs

2016 ◽  
Vol 11 (1) ◽  
pp. 269-287 ◽  
Author(s):  
Sushanta Tripathy ◽  
Satyabrata Aich ◽  
Anurup Chakraborty ◽  
Gyu M. Lee
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Competitive Advantage ◽  
Causal Relationship ◽  
Structural Equation ◽  
Equation Model ◽  
Supply Chain Performance ◽  
Enabling Factors ◽  
Content Type ◽  
Equation Modelling

Purpose – The purpose of this paper is to identify the success factors for supply chain in Indian small- and medium-scale enterprises (SMEs) and establish a causal relationship among them. In the present scenario, the SMEs are under huge pressure to achieve the supply chain competitive advantage and to improve operation and logistic effectiveness and, at the same time, remain tractable to the demand uncertainty and volatility in the market. To enhance the performance of supply chain in SMEs, the managers need to identify the internal as well as the external factors that affect the supply chain performance of SMEs in India. They need to understand the causal relationship of these factors. Design/methodology/approach – There may be a number of factors that are critical for achieving acceptable supply chain performance, and these factors have been identified by principal component analysis (PCA). In all, 29 factors have been identified by using PCA and the dominating 29 factors are categorized into 6 constructs, and finally, the structural equation modelling (SEM) methodology using the AMOS 4.0 program has been adopted as the primary methodology for this paper to assess the causal relationship among six constructs. Findings – In this paper, the authors analyzed the structural relations among information technology (IT), logistic effectiveness, operational effectiveness, customer relationship, supplier relationship and SCM competitive advantage. Results indicate that IT holds the key to achieve the SCM competitive advantage in SCM practices of SMEs in India. Research limitations/implications – The proposed models for enabling factors are tested in firms with a limited numbers of factors in highly competitive environment. More factors may be incorporated, which will help for a clear understanding and establishing the causal relationship among the various enabling factors. Practical implications – Although managers of Indian SMEs are aware of various enabling factors, a systematic approach is required for identifying enabling factors, and as these factors may have complex interrelation between them for analyzing supply chain performance in SMEs, it is essential that such an approach is in place. The paper presented here will help the SMEs managers in identifying the areas in which they need to focus their attention to improve SCM practices. A structural equation modelling is developed to show the complex relationship between the factors that affect the performance. In addition to that, the proposed structural equation model acts as a good guideline to improve the performance of the supply chain in India. Originality/value – The paper provides a structural equation model to develop a map of the causal relationships and magnitude among identified enabling factors.

Performance Measurement

2016 ◽  
pp. 212-241
Author(s):  
Neha Grover
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Performance Measurement ◽  
Holistic Approach ◽  
Qualitative Approach ◽  
Supply Chain Performance ◽  
Financial Measures ◽  
Inventory Optimization ◽  
Key Indicators ◽  
On Time Delivery

The purpose of this chapter is to study what supply chain managers of a retail supply chain measure. In other words aim here to identify the key indicators for measuring retail supply chain performance. A qualitative approach is adopted. Published literature from refereed journals on supply chain performance measurement has been considered. Besides the need for organizations to adopt a holistic approach, firms remain focused on traditional financial measures (gross profit margin, Interest coverage, and debt and equity ratios). The chapter identifies key indicators for performance measurement and classifies them into four major categories: transport optimization, information technology optimization, inventory optimization and resource optimization. These key indicators are arranged precisely for retail industry. From a supply chain perspective, the non financial measures such as on-time delivery, training of employees, warehouse layout, etc. are also important aspects of measuring supply chain performance. Further research can be carried out to validate the relevance and applicability of identified indicators. The study can be further conducted to measure the interrelationships between the KPIs and their impact on financial performance of the firm. In this chapter the author attempts to identify the performance indicators specifically for retail supply chain. The identified measures are further categorized based on its operations.

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.

Performance Measurement

2017 ◽  
pp. 677-707
Author(s):  
Neha Grover
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Performance Measurement ◽  
Holistic Approach ◽  
Qualitative Approach ◽  
Supply Chain Performance ◽  
Financial Measures ◽  
Inventory Optimization ◽  
Key Indicators ◽  
On Time Delivery

The purpose of this chapter is to study what supply chain managers of a retail supply chain measure. In other words aim here to identify the key indicators for measuring retail supply chain performance. A qualitative approach is adopted. Published literature from refereed journals on supply chain performance measurement has been considered. Besides the need for organizations to adopt a holistic approach, firms remain focused on traditional financial measures (gross profit margin, Interest coverage, and debt and equity ratios). The chapter identifies key indicators for performance measurement and classifies them into four major categories: transport optimization, information technology optimization, inventory optimization and resource optimization. These key indicators are arranged precisely for retail industry. From a supply chain perspective, the non financial measures such as on-time delivery, training of employees, warehouse layout, etc. are also important aspects of measuring supply chain performance. Further research can be carried out to validate the relevance and applicability of identified indicators. The study can be further conducted to measure the interrelationships between the KPIs and their impact on financial performance of the firm. In this chapter the author attempts to identify the performance indicators specifically for retail supply chain. The identified measures are further categorized based on its operations.

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