I. Oleksiv, H. Lema, V. Kharchuk, T. Lisovych, O. Dluhopolskyi, T. Dluhopolska
{"title":"运用层次分析法确定利益相关者对公司社会责任的重要性","authors":"I. Oleksiv, H. Lema, V. Kharchuk, T. Lisovych, O. Dluhopolskyi, T. Dluhopolska","doi":"10.1109/ACIT49673.2020.9208897","DOIUrl":null,"url":null,"abstract":"The idea of the current article is to identify the influence of stakeholders on corporate social responsibility (CSR) of the specific company. In general, by following CSR principles the company is trying to pursue two goals, which are the following: to be socially responsible and to create a good image in society to get higher profit. The important point is to decide which stakeholders have a strong influence on corporate social responsibility in order to develop strong relations with them and to build an effective CSR program. Thus, as the result of the application of the current method the company would be able to understand, with which stakeholders to develop its relations in order to improve its image in the external environment. The task of evaluating stakeholder influence on company SR quantitatively is quite complicated. Thus, a special method that combines expert judgments with quantitative evaluation needs to be applied. For this purpose, method based on Analytic Hierarchy Process is suggested to be used in the article. As a result of the method application, we receive the overall estimation of stakeholder influence on company SR. The latter permits us to decide with which stakeholders to work more actively. To conduct the calculations Expert Choice 11 computational toolkit was used.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Identification of Stakeholders Importance for the Company’s Social Responsibility using the Analytic Hierarchy Process\",\"authors\":\"I. Oleksiv, H. Lema, V. Kharchuk, T. Lisovych, O. Dluhopolskyi, T. Dluhopolska\",\"doi\":\"10.1109/ACIT49673.2020.9208897\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The idea of the current article is to identify the influence of stakeholders on corporate social responsibility (CSR) of the specific company. In general, by following CSR principles the company is trying to pursue two goals, which are the following: to be socially responsible and to create a good image in society to get higher profit. The important point is to decide which stakeholders have a strong influence on corporate social responsibility in order to develop strong relations with them and to build an effective CSR program. Thus, as the result of the application of the current method the company would be able to understand, with which stakeholders to develop its relations in order to improve its image in the external environment. The task of evaluating stakeholder influence on company SR quantitatively is quite complicated. Thus, a special method that combines expert judgments with quantitative evaluation needs to be applied. For this purpose, method based on Analytic Hierarchy Process is suggested to be used in the article. As a result of the method application, we receive the overall estimation of stakeholder influence on company SR. The latter permits us to decide with which stakeholders to work more actively. To conduct the calculations Expert Choice 11 computational toolkit was used.\",\"PeriodicalId\":372744,\"journal\":{\"name\":\"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACIT49673.2020.9208897\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACIT49673.2020.9208897","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Identification of Stakeholders Importance for the Company’s Social Responsibility using the Analytic Hierarchy Process
The idea of the current article is to identify the influence of stakeholders on corporate social responsibility (CSR) of the specific company. In general, by following CSR principles the company is trying to pursue two goals, which are the following: to be socially responsible and to create a good image in society to get higher profit. The important point is to decide which stakeholders have a strong influence on corporate social responsibility in order to develop strong relations with them and to build an effective CSR program. Thus, as the result of the application of the current method the company would be able to understand, with which stakeholders to develop its relations in order to improve its image in the external environment. The task of evaluating stakeholder influence on company SR quantitatively is quite complicated. Thus, a special method that combines expert judgments with quantitative evaluation needs to be applied. For this purpose, method based on Analytic Hierarchy Process is suggested to be used in the article. As a result of the method application, we receive the overall estimation of stakeholder influence on company SR. The latter permits us to decide with which stakeholders to work more actively. To conduct the calculations Expert Choice 11 computational toolkit was used.