Corporate Social Responsibility and Corporate Performance: A Hybrid Text Mining Algorithm

CCUR > College of Business > Department of Accounting & Graduate Institute of Accounting > periodical articles > Item 987654321/48845

Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/48845

Title:	Corporate Social Responsibility and Corporate Performance: A Hybrid Text Mining Algorithm
Authors:	Lee, M (Lee, Mushang) Huang, YL (Huang, Yu-Lan)
Contributors:	會計系
Keywords:	corporate social responsibility decision-making performance text mining
Date:	2020-04
Issue Date:	2020-11-27 15:36:08 (UTC+8)
Abstract:	Until now, the works regarding the relationships between corporate operating performance and corporate social responsibility (CSR) could not reach a conclusive result (positive, natural, and negative). This circumstance can be attributed to two main reasons: (1) inadequate performance measurement and (2) ignoring the multi-dimensional nature of CSR. To combat this, we provided a hybrid decision framework that consisted of two main procedures: (1) performance measurement via linear programming algorithm and (2) CSR's multi-dimensional nature extraction via text mining. By joint utilization of a linear programming algorithm and text mining, we could gain more insights from the outcome. The proposed decision framework, tested by real cases, is a promising alternative method for performance prediction. Managers can take this model as a roadmap and allocate resources to suitable places, as well as reach the goal of sustainable development.
Relation:	SUSTAINABILITY 卷冊: 12 期: 8 文獻號碼: 3075
Appears in Collections:	[Department of Accounting & Graduate Institute of Accounting] periodical articles

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	361	View/Open

View Licence