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How Individuals Influence Supply Chain Management Performance?

by Chen-Huei Chou
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 13
Year of Publication: 2020
Authors: Chen-Huei Chou
10.5120/ijca2020920084

Chen-Huei Chou . How Individuals Influence Supply Chain Management Performance?. International Journal of Computer Applications. 176, 13 ( Apr 2020), 35-39. DOI=10.5120/ijca2020920084

@article{ 10.5120/ijca2020920084,
author = { Chen-Huei Chou },
title = { How Individuals Influence Supply Chain Management Performance? },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2020 },
volume = { 176 },
number = { 13 },
month = { Apr },
year = { 2020 },
issn = { 0975-8887 },
pages = { 35-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume176/number13/31263-2020920084/ },
doi = { 10.5120/ijca2020920084 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:42:26.340202+05:30
%A Chen-Huei Chou
%T How Individuals Influence Supply Chain Management Performance?
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 13
%P 35-39
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Supply chain management has been an important field in business operations. Due to the popularity of electronic commerce and mobile commerce, the supply chain field has been evolved to another level. Higher level of automation and use of computerized software have been deployed. Human intervention still cannot be avoided. Rather, human interactions play an important role streamlining the supply chain processes. Both individual and group human performances thus draw much attentions in the success of supply chain applications. However, little is known about the individual’s contribution to the performance in the field. This study aims to understand the individuals’ performance based on their individual personality traits. Attribute selection methods are used to identify the key personality traits in the Big Five Model.

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Index Terms

Computer Science
Information Sciences

Keywords

Personality Traits Attribute Selection Filter Wrapper Machine Learning

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