Jin-Xiu Zhu, Xue-Rui Tan, Nan Lu, Shao-Xing Chen and Xiao-Jun Chen
The purpose of this paper is to construct a new algorithm of program procedure for medical grey relational method based on SAS software.
Abstract
Purpose
The purpose of this paper is to construct a new algorithm of program procedure for medical grey relational method based on SAS software.
Design/methodology/approach
Based on the SAS environment, the authors construct a new algorithm of program procedure through the following methods: the construction data set, confirmation of the comparison sequence and reference sequence, the original data transformation, calculation of the grey relational coefficient of reference sequence and comparison sequence and calculating the correlation.
Findings
The results show that the novel algorithm of program procedure for medical grey relational method based on SAS software satisfies the properties properly. It also fully confirmed the biggest advantage of the grey relational analysis is that its requirements are not too high for the amount of data, and it does not need to follow the typical distribution.
Originality/value
The paper succeeds in constructing a novel algorithm of program procedures for medical grey relational method and providing a valuable tool for solving similar problems.
Details
Keywords
Jinfang Tian, Xiaofan Meng, Lee Li, Wei Cao and Rui Xue
This study aims to investigate how firms of different sizes respond to competitive pressure from peers.
Abstract
Purpose
This study aims to investigate how firms of different sizes respond to competitive pressure from peers.
Design/methodology/approach
This study employs machine learning techniques to measure competitive pressure based on management discussion and analysis (MD&A) documents and then utilises the constructed pressure indicator to explore the relationship between competitive pressure and corporate risk-taking behaviours amongst firms of different sizes.
Findings
We find that firm sizes are positively associated with their risk-taking behaviours when firms respond to competitive pressure. Large firms are inclined to exhibit a high level of risk-taking behaviours, whereas small firms tend to make conservative decisions. Regional growth potential and institutional ownership moderate the relationships.
Originality/value
Utilising text mining techniques, this study constructs a novel quantitative indicator to measure competitive pressure perceived by focal firms and demonstrates the heterogeneous behaviour of firms of different sizes in response to competitive pressure from peers, advancing research on competitive market pressures.