Selection of Socially Responsible Portfolios using Goal Programming and fuzzy technology

2012 ◽  
Vol 189 ◽  
pp. 110-125 ◽  
Author(s):  
Amelia Bilbao-Terol ◽  
Mar Arenas-Parra ◽  
Verónica Cañal-Fernández
2021 ◽  
Vol 22 (4) ◽  
pp. 958-987
Author(s):  
Łukasz Kozłowski ◽  
Iwa Kuchciak

This study investigates the thematic content of Facebook disclosures from small local banks (SLBs) in Poland, their impact on Facebook users’ attention, and the economic repercussions for SLBs’ growth and performance. Based on the specificity of SLBs and existing empirical evidence, it hypothesizes that disclosures on socially responsible issues increase customer attention and can be converted into economic outcomes. To verify the posed hypotheses, several data sources are employed, including a hand-collected dataset describing the specificity of Facebook activities from SLBs in Poland between 2010 and 2017, and a stepwise research strategy is implemented. First, models of SLBs’ Facebook disclosures are distinguished. Second, the kinds of social media activities that ensure SLBs’ popularity among Facebook users are determined. Third, the thematic content of SLBs’ Facebook disclosures is related to their growth or performance indicators. The collected evidence shows that SLBs, as expected, can garner attention if they concentrate their social media activities mainly on socially responsible or local issues. Moreover, socially responsible activities and economic outcomes are generally not opposed, but only a careful selection of specific social disclosures can effectively exploit social media to the economic advantage of SLBs.


2014 ◽  
Vol 5 (3) ◽  
pp. 65-86 ◽  
Author(s):  
Ahmad Jafarnejad Chaghooshi ◽  
Ehsan Khanmohammadi ◽  
Maryam Faghei ◽  
Amir Karimi

Outsourcing plays an important role in the success of organizations. One of the risks associated with outsourcing is inappropriate contractor selection which significantly influences the implementation of projects in terms of time, quality, and cost. In this study, we applied multi-criteria decision-making techniques in order to determine the best contractor using criteria such as reputation, offered price, and technical capacity. This study is primarily aimed at identifying important criteria of contractor selection, determining the significance of the criteria, and designing a framework for selection of the most appropriate contractor. Important criteria for selecting contractors were extracted from the literature and experts' views were collected using questionnaire. Accordingly, six criteria were selected and their weights were determined by the application of goal programming. Finally, contractors were ranked and the best contractor was selected using fuzzy ELECTRE technique with trapezoidal fuzzy numbers.


2012 ◽  
Vol 2012 (1) ◽  
pp. 14777
Author(s):  
Pat Auger ◽  
Timothy Michael Devinney ◽  
Grahame R. Dowling ◽  
Christine Eckert ◽  
Nidthida Lin

Author(s):  
Kumari Surbhi ◽  
Rajesh Kumar Tiwari

This research paper totally focused on improving the complexity of decision making on multiple objectives such as selection of subjects, area of study for better future, Industrial demands, and educational support in the selected area of job. These are the objectives faced by parents, students as well as teachers/professors. Education is the most powerful weapon for every country. Quality of education comes with outcome based study and collaboration with the industries. Here, the complexities in the system of decision making in setting up the optimal syllabus is solved by multiple objective programing called goal programming.


2012 ◽  
Vol 115 (3) ◽  
pp. 515-529 ◽  
Author(s):  
Amelia Bilbao-Terol ◽  
Mar Arenas-Parra ◽  
Verónica Cañal-Fernández ◽  
Celia Bilbao-Terol

Mathematics ◽  
2021 ◽  
Vol 9 (23) ◽  
pp. 3023
Author(s):  
Yahya Hanine ◽  
Youssef Lamrani Alaoui ◽  
Mohamed Tkiouat ◽  
Younes Lahrichi

In this study, we address the topic of sustainable and responsible portfolio investments (SRI). The selection of such portfolios is based, in addition to traditional financial variables, on environmental, social, and governance (ESG) criteria. The interest of our approach resides in allowing socially responsible (SR) portfolio investors to select their optimal portfolios by considering their individual preferences for each objective and simultaneous definition of the degrees of acceptance and rejection. In particular, we consider socially responsible portfolio selection as an optimization problem with multiple objectives before applying interactive intuitionistic fuzzy method to solve the portfolio optimization. The robustness of our approach is tested through an empirical study on the top 10 Stocks for ESG values worldwide.


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