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Corporate Social Responsibility Case Study Analysis: Multiple Regression Model Application in Hartmann Group (CROSBI ID 650845)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Radman-Funarić, Mirjana ; Pisker, Barbara ; Rendić, Nina Corporate Social Responsibility Case Study Analysis: Multiple Regression Model Application in Hartmann Group // Conference Proceedings 2nd Business & Entrepreneurial Economics Conference, BEE Conference / Kolaković, Marko (ur.). Zagreb: Studentski poduzetnički inkubator Ekonomskog fakulteta Sveučlišta u Zagrebu, 2017. str. 182-191

Podaci o odgovornosti

Radman-Funarić, Mirjana ; Pisker, Barbara ; Rendić, Nina

engleski

Corporate Social Responsibility Case Study Analysis: Multiple Regression Model Application in Hartmann Group

The concept of corporate social responsibility, through which companies integrate social and environmental objectives into their business activities and relationships with stakeholders on a voluntary basis, requires a further quantitative review. T he main goal of the Hartmann Group is to build a platform for rapid growth and competitiveness in the market while implementing sustainable development principles, and eliminating any possible adverse environmental impacts. Also, they seek to take care of health and safety, and the good social status of employees and their families. This paper performed multiple regression and discovered a significant correlation between variables which represent quantitative business indicators. Such variables are: number of products sold (t), water consumption (m3), gas consumption (GJ), consumption of chemicals (t), CO2 emissions (t), sick and injury leaves (hours), consumption of raw materials (t) and quantities of waste produced (t). T his paper puts the linear regression model to the test in order to evaluate presumed linear relationship between the corporate social responsibility indicators, using energy resource data from 2001 to 2013. Moreover, parameter estimation of the linear trendline equation has shown that the consumption of energy resources during the mentioned period linearly decreased. To estimate statistical- analytical size within the inferential statistical analysis, we used variance analysis (ANOVA). Indicators of representativeness have shown that the regression mod els are illustrative only. Thus, we conducted a trend analysis in time series followed by the multiple regression models, used to represent covariation of multiple phenomena. T he results displayed that water consumption in Hartmann Group significantly increased by increasing gas consumption, but the level of products sold remains unchanged. Also, the Hartmann’s product sales reduced by increasing water consumption and with unchanged gas consumption. The product sales increased by increasing the gas consu mption without changing water consumption. As expected, the number of products sold decreased with the increase in the number of injuries and sick leaves. All in all, the results illustrate how regular activities and technology investment, as well as emplo yee protection, culminate in better business outcomes in the context of corporate social responsibility.

Corporate Social Responsibility, Multiple Regression Model

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Podaci o prilogu

182-191.

2017.

objavljeno

Podaci o matičnoj publikaciji

Conference Proceedings 2nd Business & Entrepreneurial Economics Conference, BEE Conference

Kolaković, Marko

Zagreb: Studentski poduzetnički inkubator Ekonomskog fakulteta Sveučlišta u Zagrebu

2459-5225

Podaci o skupu

2nd Business & Entrepreneurial Economics Conference

predavanje

24.05.2017-26.05.2017

Brijuni, Hrvatska

Povezanost rada

Ekonomija