Evaluation of stakeholder engagement of brazilian companies: a text mining approach

  1. Sílvia Maria Dias Pedro Rebouças 12
  2. Eugénia Maria Dores Maia Ferreira 2
  3. Maria Purificación Galindo Villardón 3
  4. Rômulo Alves Soares 1
  5. Mônica Cavalcanti Sá de Abreu 1
  1. 1 Universidade Federal do Ceará
    info

    Universidade Federal do Ceará

    Fortaleza, Brasil

    ROR https://ror.org/03srtnf24

  2. 2 Universidade do Algarve
    info

    Universidade do Algarve

    Faro, Portugal

    ROR https://ror.org/014g34x36

  3. 3 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

Actas:
II International Congress on Interdisciplinarity in Social and Human Sciences
  1. Saul Neves de Jesus (ed. lit.)
  2. Patrícia Pinto (ed. lit.)

Editorial: CIEO – Research Centre for Spatial and Organizational Dynamics. University of Algarve

ISBN: 978-989-8472-82-3

Año de publicación: 2017

Páginas: 25-34

Tipo: Aportación congreso

Resumen

Sustainability reports have been gaining importance through the years because, differently from the financial reports, they cover aspects of a company other than their financial and economic performance. They bring information about environmental and social policies, its corporate governance practices, stakeholder engagement, among others. The quantity of information in these reports also makes them more complex and harder to evaluate. Given this situation, this study aims to develop a tool to evaluate the organization’s stakeholder engagement, disclosed in these reports, using a text mining approach. In order to achieve this goal, we use reports of Brazilian companies that were published under the G4 guidelines of the Global Reporting Initiative during 2016. The results showed that the most mentioned stakeholders were employees, clients, market and suppliers, and the major concern raised by them relates mainly to the environment. We also find that the firm-characteristics did not played any part in differentiating the companies with high and low stakeholder engagement

Referencias bibliográficas

  • Arena, C.; Bozzolan, S.; Michelon, G. (2014). Environmental reporting: transparency to stakeholders or stakeholder manipulation? An analysis of disclosure tone and the role of the board of directors. Corporate Social Responsibility and Environmental Management.
  • Baumann-Pauly, D.; Wickert, C.; Spence, L.; Scherer, A. (2013) Organizing corporate social responsibility in small and large firms: Size matters. Journal of Business Ethics. 115 (4): 693-705.
  • Berle, A. (1931) Corporate powers as powers in trust. Harvard Law Review. 44 (7): 1049-1074.
  • Cho, C.; Michelon, G.; Patten, D. (2012). Impression management in sustainability reports: An empirical investigation of the use of graphs. Accounting and the Public Interest. 12 (1): 16-37.
  • Constantinescu, M.; Kaptein, M. (2015) CSR standards and corporate ethical virtues: A normative inquiry into the way corporations integrate stakeholders expectations. In book: Corporate Social Responsibility and Governance – Theory and Practice. Springer. New York.
  • Du, S.; Vieira, J.; Edward, T. (2012). Striving for legitimacy through corporate social responsibility: Insights from oil companies. Journal of Business Ethics. 110 (4): 413-427.
  • Everitt, B.; Hothorn, T. (2011). An introduction to applied multivariate analysis with R. Springer-Verlag. New York.
  • Feinerer, I.; Hornik, K.; Meyer, D. (2008). Text mining infrastructure in R. Journal of Statistical Software, 25 (5): 1-54.
  • Feldman, R.; Sanger, J. (2007) The text mining handbook: Advanced approaches in analyzing unstructured data. Cambridge University Press. United Kingdom.
  • Ferreira-Quilice, T.; Caldana, A. (2015) Aspectos negativos no modelo de reporte proposto pela GRI: a opinião das organizações que reportam. Revista de Administração RAUSP. 50 (4): 405-415.
  • Frederick, W. (1960). The growing concern over business responsibility. California Management Review. 2 (4): 54-61.
  • Freeman, R. (2001) A stakeholder theory of the modern corporation. Perspectives in Business Ethics. 3: 144. 34 Proceedings of the International Congress on Interdisciplinarity in Social and Human Sciences González-Benito, J.;
  • González-Benito, Ó. (2006). A review of determinant factors of environmental proactivity. Business Strategy and the Environment. 15: 87-102.
  • GRI – Global Report Initiative (2017). G4 Sustainability Reporting Guidelines. Disponível em: < https://g4.globalreporting.org/ Pages/default.aspx>. Acesso em: 22 mar. 2017.
  • Hahn, R.; Kühnen, M. (2013). Determinants of sustainability reporting: a review of results, trends,theory, and opportunities in an expanding field of research. Journal of Cleaner Production. 59: 5-21.
  • Hussey, D.; Kirsop, P.; Meissen, R. (2001). Global Reporting Initiative guidelines: An evaluation of sustainable development metrics for industry. Environmental Quality Management.1-20.
  • Iturriaga, F.; Crisóstomo, V. (2010). Do leverage, dividend payout, and ownership concentration influence firms’value creation? An analysis of Brazilian firms. Emerging Markets Finance & Trade. 46 (3): 80-94.
  • Jones, T. (1995). Instrumental Stakeholder Theory: A synthesis of ethics and economics. Academy of Management Review. 20 (2): 404-437.
  • Kolk, A. (2010). Trajectories of Sustainability Reporting by MNCs. Journal of World Business. 45: 367-374. KPMG (2011).
  • KPMG international survey of corporate responsibility reporting 2011. Amsterdã.
  • Lee, M. (2008). A review of the theories of corporate social responsibility: its evolutionary path and the road ahead. International Journal of Management Reviews. 10 (1): 53-73.
  • Magness, V. (2006). Strategic posture, financial performance and environmental disclosure: an empirical test of legitimacy theory. Accounting, Auditing and Accountability Journal.19(4): 540–563.
  • Makhabel, B. (2015). Learning data mining with R. Packt Publishing. Mumbai.
  • McGuire, J. (1963). Business and Society. McGraw-Hill. New York.
  • Mitchell, R.; Agle, B.; Wood, D. (1997). Toward a Theory of Stakeholder identification and salience: Defining the principle of who and what really counts. Academy of Management Review. 22 (4): 853-886.
  • Modapothala, J.; Issac, B. (2009). Study of economic, environmental and social factors in sustainability reports using text mining and bayesian analysis. Proceedings of the IEEE Symposium on Industrial Electronics and Applications. Kuala Lumpur, Malaysia.
  • Modapothala, J.; Issac, B.; Jayamani, E. (2010). Appraising the corporate sustainability reports: Text mining and multidiscriminatory analysis. Innovations in Computing Sciences and Software Engineering. Springer. 489-494.
  • Neu, D.; Warsame, H.; Pedwell, K. (1998). Managing public impressions: Environmental disclosures in annual reports. Accounting, Organizations and Society. 23 (3): 265-282.
  • Nisbet, R.; Elder, J.; Miner, G. (2009). Handbook of statistical analysis and data mining. Academic Press. San Diego.
  • O’Sullivan, N. (2015) The Global Reporting Initiative Guidelines and External Assurance of Investment Bank Sustainability Reports: Effective Tools for Financial Sector Social Accountability? K. Wendt (ed.) Responsible Investment Banking, CSR, Sustainability, Ethics & Governance. Springer. Switzerland.
  • Prado-Lorenzo, J.-M.; Gallego-Alvarez, I.; Garcia-Sanchez, I. (2009) Stakeholder engagement and corporate social responsibility reporting: the ownership structure effect. Corporate Social Responsibility and Environmental Management. 16: 94-107.
  • R Core Team (2017). R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna.
  • Rivera, S.; Minsker, B.; Work, D.; Roth, D. (2014) A text mining framework for advancing sustainability indicators. Environmental Modelling & Software, 62: 128-138.
  • Silge, J.; Robinson, D. (2016). tidytext: Text mining and analysis using tidy data principles in R. Journal of Open Source Software, 1 (3). doi:10.21105/joss.00037.
  • Souza, G.; Lima, N.; Barbosa, F.; Coutinho, Á.; Albuquerque, A. (2015) Corporate governance and performance of the stocks of companies from the Brazilian electricity sector listed in Bovespa. Revista de Negócios – Studies on emerging countries. 20 (1): 13-28.
  • Tremblay, M.; Castellanos, A.; Parra, C. (2015) Corporate social responsability reports: Understanding topics via text mining. Proceedings of the Twenty-first Americas Conference on Information Systems. Puerto Rico.
  • Tufféry, S. (2011). Data mining and statistics for decision making. John Wiley & Sons Ltd. United Kingdom.
  • Wickham, H. (2014). Tidy Data. Journal of Statistical Software. 59 (1): 1–23.
  • Willis, A. (2003). The role of Global Reporting Initiative’s sustainability reporting guidelines in the social screening of investments. Journal of Business Ethics, 43: 233-237.
  • Zhai, C.; Massung, S. (2016) Text data management and analysis: A practical introduction to information retrieval and text mining. Association for Computing Machinery and Morgan & Claypool. New York.