scholarly journals Extent Of E-Procurement Adoption, Challenges And Its Impact On Supply Chain Performance: A Statistical Analysis

2021 ◽  
Vol 58 (1) ◽  
pp. 2615-2625
Author(s):  
GANESH R
Keyword(s):  
Supply Chain ◽  
Descriptive Statistics ◽  
Supply Chain Performance ◽  
Procurement Management ◽  
Statistical Tools ◽  
Data Set ◽  
Electronic Procurement ◽  
Factors Influencing ◽  
Average Impact ◽  
Two Factors

The purpose of this research paper is to identify and understand the factors influencing extent of adoption of electronic procurement software and its impact on the performance of their supply chain postuptake of the software. The paper also tries to understand the challenges companies face with respect to the adoption of E-Procurement software solutions. A survey was floated to procurement leaders and with their responses analysis was done. Statistical tools such as Exploratory Factor Analysis (EFA), descriptive statistics were used. The twonew factors that got grouped were Downstream Procurement Activities and Upstream Procurement Activities where firms adopt E-Procurement software for the Procure-to-Pay and Source-to-Contract respectively. Reliability test was successfully employed to validate the data set. The descriptive statistics tells us that the Supply Chain Performance had an above average impact by E-Procurement Adoption with a considerable fluctuation. The challenges in adopting E-Procurement were determined to be of moderate extent with cost of these procurement software solutions being a major challenge for uptake. Currently not all firms are using procurement software as one size fit all solution for their procurement management and this paper helps us understand the landscape better by grouping the penetration of electronic procurement into two factors.  

Key Factor Extraction of Supply Chain Performance Based on Heterogeneous Selective Ensemble PCA

2013 ◽  
Vol 397-400 ◽  
pp. 2626-2630
Author(s):  
Cong Hui Zhang ◽  
Nan Zhao ◽  
Hong Yu Shao
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Evaluation Method ◽  
Supply Chain Performance ◽  
Operation Performance ◽  
Data Set ◽  
Chain Management ◽  
Selective Ensemble ◽  
Key Factor ◽  
Performance Evaluation Method

It is valuable for supply chain management to analyze and evaluate the operation performance of supply chain, and use timely and accurate operation state feedback to adjust the system to keep smooth running. Aiming at the complexity and uncertainty of supply chain, this thesis put forward a heterogeneous selective ensemble principle component analysis (PCA) algorithm based on fuzzy integral via Bagging ensemble learning. Besides, by using dimension reduction on high-dimensional data set, it realizes to extract the key factors of supply chain performance and breaks the bottleneck that problems in supply chain management cannot be recognized rapidly or analyzed by traditional performance evaluation method. According to the empirical research on survey data of supply chain performance at C Group, the algorithm is proved be effective.

The Effects of Information Quality on Supply Chain Performance

2011 ◽  
pp. 275-291 ◽  
Author(s):  
Suhaiza Zailani ◽  
Premkumar Rajagopal
Keyword(s):  
Supply Chain ◽  
Influencing Factors ◽  
Information Quality ◽  
Supply Chain Performance ◽  
Quality Of Information ◽  
Environmental Characteristics ◽  
Factors Influencing ◽  
Financial Indices

This paper introduces how information quality plays an important role in a supply chain performance. In order to make smarter use of global resources, the companies should pay attention to the quality of information to provide better services to their customers. This paper examines the factors influencing information quality and investigates the influences of information quality on supply chain performance. The information quality is classified into four types: accuracy, completeness, consistency and timeliness. The influencing factors include technological, organizational, and environmental characteristics. Supply chain performance is measured based on financial and non-financial indices. It can be found that the extent of information quality will increase supply chain performance and the extent of information quality is influenced by technological, organizational and environmental characteristics. The authors hope to understand the factors that influence information quality towards better supply chain performance will not only inform researchers of a better design for studying information quality but also assist in the understanding of intricate relationships between different factors.

E-Procurement Adoption and Supply Chain Performance in Homa Bay County Government: A Case Study.

GIS Business ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. 156-164
Author(s):  
Ondore J. Owuor ◽  
Obura, J. Ouma
Keyword(s):  
Supply Chain ◽  
Cost Reduction ◽  
Vital Role ◽  
Primary Data ◽  
County Government ◽  
Supply Chain Performance ◽  
Electronic Procurement ◽  
Procurement Cost ◽  
Technological World

In the today’s technological world, it is almost obvious that electronic procurement systems play a vital role in the management of the supply chain. This paper examined how adoption and use of electronic procurement systems in Homa Bay County Government contribute to value creation, reduction of overhead costs incurred during procurement processes as well as its contribution to the performance of their supply chain network. Primary data were gathered using questionnaires from all the 14 procurement personnel in the County Government and a sample of 81 supplies from their supply base. Regression results indicated that adoption and use of electronic procurement systems greatly improves performance of the supply chain partners (R2 = .835, p < .05) while resulting into procurement cost reduction, increased effectiveness among other benefits. From the findings, the study recommends full adoption and use of electronic procurement systems by the devolved governments to improve on procurement and supply chain performance.

scholarly journals Factors Influencing Supply Chain Performance through Sharing Information on PT Sinar Sosro KPW Banten

2020 ◽  
Vol 9 (2) ◽  
pp. 819-822
Keyword(s):  
Supply Chain ◽  
Data Analysis ◽  
Information Sharing ◽  
Quantitative Method ◽  
Supply Chain Performance ◽  
Questionnaire Data ◽  
Customer Integration ◽  
Supplier Integration ◽  
Factors Influencing ◽  
Internal Integration

The purpose of this study is to know the influence of supplier integration, internal integration, and customer integration on supply chain performance through sharing information at PT. Sinar Sosro KPW Banten. The study method used is quantitative method by collecting data through questionnaire. Data analysis using SEM-PLS with WarpPLS 5.0 software. The results show that supplier integration and internal integration have no effect on supply chain performance. Supplier integration, internal integration, and costumer integration affect the sharing information. And customer integration and sharing information have an effect on supply chain performance. The current conclusion of this result, managers need to improve customer integration and information sharing. (AR, FA, MRR)

scholarly journals An empirical supply chain measurement model for a national egg producer based on the supply chain operations reference model

2013 ◽  
Vol 7 (1) ◽  
Author(s):  
Christian Pretorius ◽  
George A. Ruthven ◽  
Konrad Von Leipzig
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Performance Measurement ◽  
Reference Model ◽  
Measurement Model ◽  
Supply Chain Performance ◽  
Data Set ◽  
Competitive Edge ◽  
Overall Performance ◽  
Real World Problems

The management of a supply chain is both an offensive and defensive weapon that organisations can use to increase their competitive edge and capture a larger share of the market. In management science and supply chain management, multi-criteria decision making techniques have been used to solve a range of real-world problems. The problem is that many, if not most, companies in South Africa either do not have the required skills to use these decision-making techniques to improve or re-configure their supply chain, or they do not have a complete data set with which to model it effectively. In order to manage supply chains effectively, organisations at the very least need feedback on the performance of their entire supply chain. In this article, generic supply chain performance measures were used and a theoretical or empirical model was developed for the performance measurement of a national egg producer’s supply chain. It focused on a managerial program for the identification and management of their supply chain with recommendations for applying a measurement model. The overall performance of the supply chain as well as the five different performance attributes was presented to management in a dashboard format. This article could be used as a basis for future studies of supply chain performance measurement and the model could be used as a foundation for developing an improved version, not only for the egg industry, but for other industries as well. 

Analysis of Critical Factors Influencing the Supply Chain Performance of Small and Medium Enterprises

2020 ◽  
Vol 19 (04) ◽  
pp. 781-797
Author(s):  
Nejah Ben Mabrouk
Keyword(s):  
Supply Chain ◽  
Success Factors ◽  
Small And Medium Enterprises ◽  
Supply Chain Performance ◽  
Interpretive Structural Modeling ◽  
Critical Success ◽  
Factors Influencing ◽  
Major Factors ◽  
Medium Enterprises ◽  
Process Strategy

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.

scholarly journals Factors influencing e-Procurement adoption in the Nigerian building industry

2016 ◽  
Vol 16 (4) ◽  
pp. 54-67 ◽  
Author(s):  
Eziyi Offia Ibem ◽  
Egidario Bridget Aduwo ◽  
Patience Tunji-Olayeni ◽  
Emmanuel Adekunle Ayo-Vaughan ◽  
Uwakonye Obioha Uwakonye
Keyword(s):  
Supply Chain ◽  
Descriptive Statistics ◽  
Project Delivery ◽  
Building Industry ◽  
Regression Analyses ◽  
Chain Management ◽  
Team Members ◽  
Adequate Knowledge ◽  
Factors Influencing ◽  
Different Dimensions

Against the backdrop of increasing adoption of e-Procurement in supply chain management, there is a need for adequate knowledge of the factors that influence the decision by organizations in the building industry to use e-Procurement. This study aims to fill the knowledge gap through investigating the factors influencing e-Procurement adoption based on the data sourced in a questionnaire survey involving 213 organizations in the building industry. The survey was conducted between June and November 2015 in Nigeria. Descriptive statistics, factor and categorical regression analyses were used to analyze the data. The results show that the three most important factors influencing the adoption of e-Procurement amongst the participants, in order of importance, were: the benefits of e-Procurement in enhancing efficiency in project delivery; eliminating geographic barriers and effective communication among project team members. The 29 factors were investigated in seven different dimensions - the benefits of e-Procurement use; level of awareness on e-Procurement in construction; and the availability and cost of e-Procurement applications emerged as the three most significant predictors of e-Procurement adoption in the survey. The study concludes by identifying strategies that should be engaged in increasing the uptake and maximizing the benefits of e-Procurement in the Nigerian building industry.   

scholarly journals Proactive Supply Chain Performance Management with Predictive Analytics

2014 ◽  
Vol 2014 ◽  
pp. 1-17 ◽  
Author(s):  
Nenad Stefanovic
Keyword(s):  
Data Mining ◽  
Supply Chain ◽  
Supply Chains ◽  
Performance Management ◽  
Predictive Analytics ◽  
Measurement Data ◽  
Business Environment ◽  
Supply Chain Performance ◽  
Web Portal ◽  
Data Set

Today’s business climate requires supply chains to be proactive rather than reactive, which demands a new approach that incorporates data mining predictive analytics. This paper introduces a predictive supply chain performance management model which combines process modelling, performance measurement, data mining models, and web portal technologies into a unique model. It presents the supply chain modelling approach based on the specialized metamodel which allows modelling of any supply chain configuration and at different level of details. The paper also presents the supply chain semantic business intelligence (BI) model which encapsulates data sources and business rules and includes the data warehouse model with specific supply chain dimensions, measures, and KPIs (key performance indicators). Next, the paper describes two generic approaches for designing the KPI predictive data mining models based on the BI semantic model. KPI predictive models were trained and tested with a real-world data set. Finally, a specialized analytical web portal which offers collaborative performance monitoring and decision making is presented. The results show that these models give very accurate KPI projections and provide valuable insights into newly emerging trends, opportunities, and problems. This should lead to more intelligent, predictive, and responsive supply chains capable of adapting to future business environment.

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