Abstract
This study investigates the performance measurement systems adopted by companies to manage their social responsibility activities, a theme that remains under-researched despite the important role that these mechanisms may play in helping firms control and improve their social performance. An integrative model is developed to examine how the three fundamental drivers of corporate social strategies, i.e., business motivations, perceived stakeholder pressures, and top management’s social commitment, influence the use of social performance indicators for internal decision-making and control and how such use impacts companies’ social and economic performance. The results from a survey of 97 Italian companies suggest that economic motivations and top management’s commitment are associated with a more intensive use of social performance indicators for decision-making and control, whereas perceived pressures from stakeholders do not represent a significant determinant of such use. The use of social performance indicators, in turn, is found to directly influence a firm’s social performance and, indirectly, its bottom line.
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Notes
The possibility of a disconnect between the measures adopted by companies in response to external pressures and firms’ internal practices has been highlighted by various schools of thought, particularly by neo-institutional research (Baxter and Chua 2003). This is why the neo-insitutional perspective has so far been extensively applied within the social and environmental accounting research (see, e.g., Bebbington et al. 2009; Chen and Roberts 2010; Larrinaga-Gonzalez 2007) to investigate the ceremonial and symbolic roles CSR reporting may play in signaling ritual conformity to institutionalized myths (Meyer and Rowan 1977).
Indeed, sophisticated models and tools have been developed for computing companies’ carbon or water footprints (see, e.g., Pinkse and Kolk 2009, 2010), despite the undeniable complexities of measuring many firms’ environmental impacts (Unerman and Chapman 2014; Hartmann et al. 2013). The European Union Emissions Trading System also represents an attempt—albeit limited—to quantify in monetary terms companies’ environmental externalities.
The decision-making use refers to, e.g., goal setting, capital investment decisions, or suppliers’ selection, whereas the control use refers to, e.g., performance evaluation and rewarding. By investigating the extent to which SPI are used by managers for a variety of different purposes pertaining to both the decision-making and the control roles of management accounting information, this paper contributes to extant performance measurement literature that tends to examine only one or a few uses of performance measures (e.g., compensation) while ignoring other potential uses (Ittner and Larcker 2001). More details on the definition and operationalization of SPI use are provided in "SPI Use" section.
Some thoughts on the implications of such a definition, and related limitations, are offered in the final section.
The score for each respondent on the multi-item scale is based on the weighted factor score calculated in the final PLS measurement model.
Injury rate was chosen as an objective, proxy measure of social performance for two reasons. First, it represents a particularly relevant, albeit limited, aspect of a company’s overall social performance. In addition, it emerged as the social performance indicator most frequently measured by firms during the pre-tests of the questionnaire.
I use Smart PLS 2.0 (Ringle et al. 2005).
Chin’s (1998) rule of thumb suggests that the sample size for a PLS study should be 5 to 10 times for either: 1) the largest number of formative indicators for a particular construct in the measurement model; or 2) the largest number of structural paths directed at a particular construct in the structural model. In this study, the dependent latent variable with the largest number of structural paths directed at it is SPI use, with seven independent variables (namely, expected competitive advantage, perceived stakeholder concern, top management’s social commitment and the four control variables). Thus, the sample size of 97 cases satisfies this requirement.
Given that the estimation of path coefficients in the PLS structural model is based on OLS regressions of each endogenous latent variable on its predecessor constructs, these coefficients might be biased in the presence of high levels of collinearity among the predictor constructs. Therefore, collinearity diagnostics were assessed as a preliminary test of the structural model (Hair et al. 2014). Because the VIF values for all the predecessor constructs are well below the threshold value of 5, it seems possible to conclude that collinearity does not represent a threat to the robustness of the study’s results.
Statistical significance is determined using the reported original PLS estimates and bootstrapped standard errors.
As reported in Table 5, the path coefficient between SPI use and economic performance is β = 0.050 (p > 0.1).
Interestingly enough, the findings from the complete model (see Table 6, panel B) indicate a positive and slightly significant direct path between perceived stakeholder concern and social performance (β = 0.253, p < 0.1). Some thoughts on this result are offered in the final section.
The statistical significance of the indirect path is again computed by applying the bootstrapping procedure suggested by Preacher and Hayes (2008).
More specifically: (i) the path between expected competitive advantage and SPI use is positive and strongly significant for both the decision-making and the decision-control components; (ii) perceived stakeholder concern is not a significant predictor of either component; (iii) top management’s social commitment is a weak determinant of both components; and (iv) both the decision-making and the decision-control components have a strong and positive influence on social performance.
An exemplary case is Enron, which “looked like an exceptional corporate citizen, with all the corporate social responsibility and business ethics tools and status symbols in place” (Basu and Palazzo 2008, p. 123).
References
Abernethy, M. A., Bouwens, J., & van Lent, L. (2004). Determinants of control system design in divisionalized firms. The Accounting Review, 79(3), 545–570.
Abernethy, M. A., & Vagnoni, E. (2004). Power, organization design and managerial behaviour. Accounting, Organizations and Society, 29(3–4), 207–225.
Adams, C. A. (2002). Internal organizational factors influencing corporate social and ethical reporting. Beyond current theorizing. Accounting, Auditing and Accountability Journal, 15(2), 223–250.
Adams, C. A. (2004). The ethical, social and environmental reporting-performance portrayal gap. Accounting, Auditing and Accountability Journal, 17(5), 731–757.
Adams, C. A., Hill, W., & Roberts, C. B. (1998). Corporate social reporting practices in Western Europe: Legitimating corporate behaviour? British Accounting Review, 30(1), 1–21.
Agle, B. R., Mitchell, R. K., & Sonnenfeld, J. A. (1999). Who matters to CEOs? An investigation of stakeholder attributes and salience, corporate performance, and CEO values. Academy of Management Journal, 42(5), 507–525.
Albeda Perez, E., Correa Ruiz, C., & Carrasco Fenech, F. (2007). Environmental management systems as an embedding mechanism: A research note. Accounting, Auditing and Accountability Journal, 20(3), 403–422.
Anthony, R. N., & Govindarajan, V. (1998). Management control systems. New York: McGraw-Hill.
Aragòn-Correa, J. A. (1998). Strategic proactivity and firm approach to the natural environment. Academy of Management Journal, 41(5), 556–567.
Aragòn-Correa, J. A., & Rubio-Lòpez, E. A. (2007). Proactive corporate environmental strategies: Myths and misunderstandings. Long Range Planning, 40, 357–381.
Banerjee, S. B., Iyer, E. S., & Kashyap, R. K. (2003). Corporate environmentalism: Antecedents and influence of industry type. Journal of Marketing, 67(2), 106–122.
Bansal, P., Gao, J., & Qureshi, I. (2014). The extensiveness of corporate social and environmental commitment across firms over time. Organization Studies, 35(7), 949–966.
Bansal, P., & Knox-Hayes, J. (2013). The time and space of materiality in organizations and the environment. Organization & Environment, 26(1), 61–82.
Bansal, P., & Roth, K. (2000). Why companies go green: A model of ecological responsiveness. Academy of Management Journal, 43(4), 717–736.
Bartolomeo, M., Bennet, M., Bouma, J. J., Heydkamp, P., James, P., & Wolters, T. (2000). Environmental management accounting in Europe: Current practice and future potential. European Accounting Review, 9(1), 31–52.
Basu, K., & Palazzo, G. (2008). Corporate social responsibility: A process model of sensemaking. Academy of Management Review, 33(1), 122–136.
Battaglia, M., Frey, M., & Passetti, E. (2014). Accidents at work and costs analysis: A field study in a large Italian company. Industrial Health, 52(4), 354–366.
Baxter, J., & Chua, W. F. (2003). Alternative management accounting research—Whence and whither. Accounting, Organizations and Society, 28(2–3), 97–126.
Bebbington, J., Higgins, C., & Frame, B. (2009). Initiating sustainable development reporting: Evidence from New Zealand. Accounting, Auditing and Accountability Journal, 22(4), 588–625.
Behling, O., & Law, K. S. (2000). Translating questionnaires and other research instruments: Problems and solutions. Thousand Oaks, CA: Sage.
Berrone, P., & Gomez-Mejia, L. R. (2009). The pros and cons of rewarding social responsibility at the top. Human Resource Management, 48(6), 959–971.
Boiral, O. (2007). Corporate greening through ISO 14001: A rational myth? Organization Science, 18(1), 127–146.
Bonner, S. E., Hastie, R., Sprinkle, G. B., & Young, S. M. (2000). A review of the effects of financial incentives on performance in laboratory tasks: Implications for management accounting. Journal of Management Accounting Research, 12(1), 19–64.
Bouwens, J., & Abernethy, M. A. (2000). The consequences of customization on management accounting system design. Accounting, Organizations and Society, 25(3), 221–241.
Burkert, M., Davila, T., Mehta, K., & Oyon, D. (2014). Relating alternative forms of contingency fit to the appropriate methods to test them. Management Accounting Research, 25, 6–29.
Burnett, R. D., & Hansen, D. R. (2008). Ecoefficiency: Defining a role for environmental cost management. Accounting, Organizations and Society, 33(6), 551–581.
Burritt, R. L., & Schaltegger, S. (2010). Sustainability accounting and reporting: Fad or trend? Accounting, Auditing and Accountability Journal, 23(7), 829–846.
Buysse, K., & Verbeke, A. (2003). Proactive environmental strategies: A stakeholder management perspective. Strategic Management Journal, 24(5), 453–470.
Campbell, J. L. (2007). Why would corporations behave in socially responsible ways? An institutional theory of corporate social responsibility. Academy of Management Review, 32, 946–967.
Chapman, C. S. (1997). Reflections on a contingent view of accounting. Accounting, Organizations and Society, 22(2), 189–205.
Chapman, C. S., & Kihn, L. A. (2009). Information system integration, enabling control and performance. Accounting, Organizations and Society, 34(2), 151–169.
Chen, J. C., & Roberts, R. W. (2010). Toward a more coherent understanding of the organization-society relationship: A theoretical consideration for social and environmental accounting research. Journal of Business Ethics, 97, 651–665.
Chenhall, R. H. (2003). Management control system design within its organizational context: Findings from contingency-based research and directions for the future. Accounting, Organizations and Society, 28(2–3), 127–168.
Chenhall, R. H. (2005). Integrative strategic performance measurement systems, strategic alignment of manufacturing, learning and strategic outcomes: An exploratory study. Accounting, Organizations and Society, 30(5), 395–422.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Research methods for business research (pp. 295–336). Mahwah, NJ: Lawrence Erlbaum.
Chin, W. W., & Newsted, P. R. (1999). Structural equation modeling analysis with small samples using partial least squares. In R. H. Hoyle (Ed.), Statistical strategies for small sample research (pp. 307–341). Thousand Oaks, CA: Sage.
Cho, C. H., Freedman, M., & Patten, D. M. (2012). Corporate disclosure of environmental capital expenditures: A test of alternative theories. Accounting, Auditing and Accountability Journal, 25(3), 486–507.
Clarkson, M. B. E. (1995). A stakeholder framework for analyzing and evaluating corporate social performance. Academy of Management Review, 20(1), 92–117.
Crutzen, N., & Herzig, C. (2013). A review of the empirical research in management control, strategy and sustainability. In L. Songini, A. Pistoni, & C. Herzig (Eds.), Accounting and control for sustainability. Bingley: Emerald.
Deegan, C. (2002). The legitimizing effect of social and environmental disclosures—A theoretical foundation. Accounting, Auditing and Accountability Journal, 15(3), 282–311.
Dillman, D. A. (2000). Mail and Internet surveys: The tailored design method. New York: Wiley.
Ditillo, A., & Lisi, I. E. (2014). Towards a more comprehensive framework for sustainability control systems research. Advances in Environmental Accounting and Management, 5, 23–47.
Donaldson, T., & Preston, L. E. (1995). The stakeholder theory of the corporation: Concepts, evidence and implications. Academy of Management Review, 20(1), 65–91.
Drazin, R., & Van de Ven, A. H. (1985). Alternative forms of contingency fit. Administrative Science Quarterly, 30, 514–539.
Elbashir, M. Z., Collier, P. A., & Sutton, S. G. (2011). The role of organizational absorptive capacity in strategic use of business intelligence to support integrated management control systems. The Accounting Review, 86(1), 155–184.
Epstein, M. J. (2010). The challenge of simultaneously improving social and financial performance: New research results. In M. J. Epstein, J.-F. Manzoni, & T. Davila (Eds.), Performance measurement and management control: Innovative concepts and practices. Bingley: Emerald.
Epstein, M. J., & Birchard, B. (2000). Counting what counts. Cambridge, MA: Perseus Books.
Erhemjamts, O., Li, Q., & Venkateswaran, A. (2013). Corporate Social responsibility and its impact on firms’ investment policy, organizational structure, and performance. Journal of Business Ethics, 118(2), 395–412.
European Commission. (2001). Green paper. Brussels: Promoting a European framework for corporate social responsibility.
Ferreira, A., Moulang, C., & Hendro, B. (2010). Environmental management accounting and innovation: An exploratory analysis. Accounting, Auditing and Accountability Journal, 23(7), 920–948.
Ferreira, A., & Otley, D. (2009). The design and use of performance management systems: An extended framework for analysis. Management Accounting Research, 20(4), 263–282.
Flamholtz, E. G., Das, T. K., & Tsui, A. S. (1985). Toward an integrative framework of organizational control. Accounting, Organizations and Society, 10(1), 35–50.
Freeman, R. E. (1984). Strategic management: A stakeholder approach. Boston: Pitman.
Gerdin, J. (2005). the impact of departmental interdependencies and management accounting system use on subunit performance. European Accounting Review, 14(2), 297–327.
Gerdin, J., & Greve, J. (2004). Forms of contingency fit in management accounting research—A critical review. Accounting, Organizations and Society, 29, 303–326.
Gond, J.-P., Grubnic, S., Herzig, C., & Moon, J. (2012). Configuring management control systems: Theorizing the integration of strategy and sustainability. Management Accounting Research, 23(3), 205–223.
Grabner, I., & Moers, F. (2013). Management control as a system or a package? Conceptual and empirical issues. Accounting, Organizations and Society, 38, 407–419.
Gray, R. H. (2010). Is accounting for sustainability actually accounting for sustainability and how would we know? An exploration of narratives of organisations and the planet. Accounting, Organizations and Society, 35(1), 47–62.
Gray, R. H., Kouhy, R., & Lavers, S. (1995). Corporate social and environmental reporting. A review of the literature and a longitudinal study of UK disclosure. Accounting, Auditing and Accountability Journal, 8(2), 47–77.
Gray, R. H., & Milne, M. (2004). Towards reporting on the triple bottom line: Mirages, methods and myths. In A. Henriques & J. Richardson (Eds.), The triple bottom line: Does it all add up? (pp. 70–80). London: Earthscan.
Gray, R. H., & Milne, M. J. (2015). It’s not what you do, it’s the way that you do it? Of method and madness. Critical Perspectives on Accounting, 32, 51–66.
GRI. (2006). Sustainability reporting guidelines. Amsterdam: GRI.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Upper Saddle River, NJ: Pearson Prentice Hall.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, CA: Sage.
Hall, M. (2008). The effect of comprehensive performance measurement systems on role clarity, psychological empowerment and managerial performance. Accounting, Organizations and Society, 33(2–3), 141–163.
Harman, H. H. (1976). Modern factor analysis. Chicago, IL: University of Chicago Press.
Harrison, J. S., Bosse, D. A., & Phillips, R. A. (2010). Managing for stakeholders, stakeholder utility functions, and competitive advantage. Strategic Management Journal, 31, 58–74.
Hartmann, F., Perego, P., & Young, A. (2013). Carbon accounting: Challenges for research in management control and performance measurement. ABACUS, 49(4), 539–563.
Hemingway, C. A., & Maclagan, P. W. (2004). Managers’ personal values as drivers of corporate social responsibility. Journal of Business Ethics, 50(1), 33–44.
Henri, J.-F., Boiral, O., & Roy, M.-J. (2014). The tracking of environmental costs: Motivations and impacts. European Accounting Review, 23(4), 647–669. doi:10.1080/09638180.2013.837400.
Henri, J.-F., & Journeault, M. (2010). Eco-control: The influence of management control systems on environmental and economic performance. Accounting, Organizations and Society, 35(1), 63–80.
Henriques, I., & Sadorsky, P. (1999). The relationship between environmental commitment and managerial perceptions of stakeholder importance. Academy of Management Journal, 42(1), 87–99.
Hoffman, A. J. (1999). Institutional evolution and change: Environmentalism and the U.S. chemical industry. Academy of Management Journal, 42(4), 351–371.
Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 20, 195–204.
Ittner, C. D., & Larcker, D. F. (1997). Quality strategy, strategic control systems, and organizational performance. Accounting, Organizations and Society, 22, 293–314.
Ittner, C. D., & Larcker, D. F. (2001). Assessing empirical research in managerial accounting: A value-based management perspective. Journal of Accounting and Economics, 32(1–3), 349–410.
Ittner, C. D., Larcker, D. F., & Randall, T. (2003). Performance implications of strategic performance measurement in financial services firms. Accounting, Organizations and Society, 28(7–8), 715–741.
Jennings, P. D., & Zandbergen, P. A. (1995). Ecologically sustainable organizations: An institutional approach. Academy of Management Review, 20(4), 1015–1052.
Jones, T. M. (1995). Instrumental stakeholder theory: A synthesis of ethics and economics. Academy of Management Review, 20, 404–437.
Judge, W. Q., & Douglas, T. J. (1998). Performance implications of incorporating natural environmental issues into the strategic planning process: an empirical assessment. Journal of Management Studies, 35(2), 241–262.
Kaplan, R. S., & Norton, D. P. (2006). Alignment. Using the balanced scorecard to create corporate synergies. Boston: Harvard Business School Press.
Klassen, R. D., & Whybark, D. C. (1999). Environmental management in operations: The selection of environmental technologies. Decision Sciences, 30(3), 601–631.
Kolk, A., & Perego, P. (2014). Sustainable bonuses: Sign of corporate responsibility or window dressing? Journal of Business Ethics, 119(1), 1–15.
KPMG. (2011). KPMG international survey of corporate responsibility reporting 2011. Amsterdam: KPMG.
Langfield-Smith, K. (1997). Management control systems and stategy: A critical review. Accounting, Organizations and Society, 22(2), 207–232.
Larrinaga-Gonzalez, C. (2007). Sustainability reporting: Insights from neo-institutional theory. In J. Unerman, J. Bebbington, & B. O’Dwyer (Eds.), Sustainability accounting and accountability. London: Routledge.
Larrinaga-Gonzalez, C., & Bebbington, J. (2001). Accounting change or institutional appropriation? A case study of the implementation of environmental accounting. Critical Perspectives on Accounting, 12(3), 269–292.
Laufer, W. S. (2003). Social accountability and corporate greenwashing. Journal of Business Ethics, 43, 253–261.
Lindell, M. K., & Whitney, D. J. (2001). Accounting for common method variance in cross-sectional research designs. Journal of Applied Psychology, 86(1), 114–121.
Luft, J., & Shields, M. D. (2003). Mapping management accounting: Graphics and guidelines for theory-consistent empirical research. Accounting, Organizations and Society, 28(2–3), 169–249.
Maignan, I., & Ralston, D. (2002). Corporate social responsibility in Europe and the U.S.: Insights from businesses’ self-presentations. Journal of International Business Studies, 33, 497–514.
Malmi, T., & Brown, D. A. (2008). Management control systems as a package—Opportunities, challenges and research directions. Management Accounting Research, 19(4), 287–300.
Margolis, J. D., & Walsh, J. P. (2003). Misery loves companies: Rethinking social initiatives by business. Administrative Science Quarterly, 48(2), 268–305.
McWilliams, A., & Siegel, D. (2001). Corporate social responsibility: A theory of the firm perspective. Academy of Management Review, 26(1), 117–127.
Melnyk, S. A., Sroufe, R. P., & Cantalone, R. (2003). Assessing the impact of environmental management systems on corporate and environmental performance. Journal of Operations Management, 21(3), 329–351.
Merchant, K. A., & Van Der Stede, W. A. (2003). Management control systems: Performance measurement, evaluation and incentives. Harlow: Prentice Hall.
Meyer, J. W., & Rowan, B. (1977). Institutionalized organizations: Formal structure as myth and ceremony. American Journal of Sociology, 83(2), 340–363.
Milgrom, P., & Roberts, J. (1995). Complementarities and fit: Strategy, structure and organizational change in manufacturing. Journal of Accounting and Economics, 19, 179–208.
Milne, M. J., & Gray, R. (2013). W(h)ither ecology? The triple bottom line, the global reporting initiative, and corporate sustainability reporting. Journal of Business Ethics, 118(1), 13–29.
Milne, M. J., Kearins, K., & Walton, S. (2006). Creating adventures in Wonderland: The journey metaphor and environmental sustainability. Organization, 13(6), 801–839.
Moerman, L., & Van Der Laan, S. (2005). Social reporting in the tobacco industry: All smoke and mirrors? Accounting, Auditing and Accountability Journal, 18(3), 374–389.
O’Dwyer, B. (2003). Conceptions of corporate social responsibility: The nature of managerial capture. Accounting, Auditing and Accountability Journal, 16(4), 523–557.
O’Dwyer, B. (2005). The construction of a social account: A case study in an overseas aid agency. Accounting, Organizations and Society, 30(3), 279–296.
Orlitzky, M., Schmidt, F. L., & Rynes, S. L. (2003). Corporate social and financial performance: A meta-analysis. Organization Studies, 24(3), 403–441.
Otley, D. (1999). Performance management: A framework for management control systems research. Management Accounting Research, 10(4), 363–382.
Ouchi, W. G. (1979). A conceptual framework for the desing of organizational control mechanisms. Management Science, 25(9), 833–848.
Owen, D. (2008). Chronicles of wasted times? A personal reflection on the current state of, and future prospects for, social and environmental accounting research. Accounting, Auditing and Accountability Journal, 21(2), 240–267.
Pedersen, E. R. (2006). Making corporate social responsibility (CSR) operable: How companies translate stakeholder dialogue into practice. Business and Society Review, 111(2), 137–163.
Perego, P., & Hartmann, F. (2009). Aligning performance measurement systems with strategy: The case of environmental strategy. ABACUS, 45(4), 397–428.
Pinkse, J., & Kolk, A. (2009). International business and global climate change. London: Routledge.
Pinkse, J., & Kolk, A. (2010). Challenges and trade-offs in corporate innovation for climate change. Business Strategy and the Environment, 19(4), 261–272.
Plaza-Úbeda, J. A., Burgos-Jiménez, J., Vazquez, D. A., & Liston-Heyes, C. (2009). The ‘win–win’ paradigm and stakeholder integration. Business Strategy and the Environment, 18(8), 487–499.
Pondeville, S., Swaen, V., & De Rongé, Y. (2013). Environmental management control systems: The role of contextual and strategic factors. Management Accounting Research, 24(4), 317–332. doi:10.1016/j.mar.2013.06.007.
Porter, M. E., & Kramer, M. R. (2006). Strategy and society: The link between competitive advantage and corporate social responsibility. Harvard Business Review, 84(12), 78–92.
Porter, M. E., & Kramer, M. R. (2011). Creating shared value. Harvard Business Review, 89, 62–77.
Powell, W. W., & DiMaggio, P. J. (1991). The new institutionalism in organizational analysis. Chicago, IL: University of Chicago Press.
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891.
Ringle, C. M., Wende, S., & Will, A. (2005). SmartPLS. (2.0 (beta) ed.). Hamburg, Germany.
Scott, R. (1995). Institutions and organizations. Thousand Oaks, CA: Sage.
Sharma, S. (2000). Managerial interpretations and organizational context as predictors of corporate choice of environmental strategy. Academy of Management Journal, 43(4), 681–697.
Sharma, S., & Henriques, I. (2005). Stakeholder influences on sustainability practices in the Canadian forest products industry. Strategic Management Journal, 26(2), 159–180.
Simons, R. (2000). Performance measurement and control systems for implementing strategy. Upper Saddle River, NJ: Prentice Hall.
Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. Sociological Methodology, 13, 290–312.
Songini, L., & Pistoni, A. (2012). Accounting, auditing and control for sustainability. Management Accounting Research, 23(3), 202–204.
Tregidga, H., Kearins, K., & Milne, M. (2013). The politics of knowing “organizational sustainable development”. Organization & Environment, 26(1), 102–129.
Unerman, J., & Chapman, C. (2014). Academic contributions to enhancing accounting for sustainable development. Accounting, Organizations and Society, 39, 385–394.
Weaver, G. R., Trevino, L. K., & Cochran, P. L. (1999). Integrated and decoupled corporate social performance: Management commitments, external pressures and corporate ethics practices. Academy of Management Journal, 42(5), 539–552.
Wisner, P. S., Epstein, M. J., & Bagozzi, R. P. (2006). Organizational antecedents and consequences of environmental performance. Advances in Environmental Accounting and Management, 3, 143–167.
Wood, D. J. (1991). Corporate social performance revisited. Academy of Management Review, 16(4), 691–718.
Wood, D. J. (2010). Measuring corporate social performance: A review. International Journal of Management Reviews, 12(1), 50–84.
World Commission on Environment and Development. (1987). Our common future. Oxford: Oxford University Press.
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Appendices
Appendix 1: Questionnaire
Section I: Firm’ S Social Performance Measurement Systems
In this section you will find questions on your firm’s social performance measurement systems. The adjective social is related to: labor practices (i.e., occupational health and safety), human rights (i.e., child labor), society (i.e., relations with local communities), product responsibility (i.e., customer health and safety).
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1.
Amongst performance indicators measured within your firm on a regular basis (i.e., at least once a year), are there indicators of social performance (i.e., injury rates)? (yes/no).
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2.
Indicate to what extent (1 = not at all, 2 = to a very small extent, 3 = to a small extent, 4 = to a moderate extent, 5 = to a large extent, 6 = to a very large extent, 7 = totally) your firm uses social performance indicators for each of the following purposes:
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Evaluate managers’ performance
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Incentivize and reward managers (e.g., determine salary increases, set annual bonuses, and/or career advances)
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Establish formal strategic objectives (or goals)
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Evaluate and approve capital expenditures
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Make product decisions (e.g., product price, product mix, new product development)
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Define standards for the selection/retention of external suppliers
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The daily management and operational decisions (e.g., assess make-or-buy alternatives, assess the manufacturing process to use)
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Prepare and issue the corporate financial and/or sustainability report
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Disclose information to the public through the firm website, conference calls, press releases
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Provide information to analysts and/or rating agencies
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Provide information to government officials for compliance to legislation
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Provide information to local communities and non-governmental organizations
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Other uses not mentioned (please specify) —————
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3.
Rank the three most important uses for social performance indicators within your firm among the following (put a 1 in the box for most important use, 2 in box for second most important use and 3 in box for third most important use):
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Evaluate managers’ performance
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Incentivize and reward managers (e.g., determine salary increases, set annual bonuses and/or career advances)
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Establish formal strategic objectives (or goals)
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Evaluate and approve capital expenditures
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Make product decisions (e.g., product price, product mix, new product development)
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Define standards for the selection/retention of external suppliers
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The daily management and operational decisions (e.g., assess make-or-buy alternatives, assess the manufacturing process to use)
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Prepare and issue the corporate financial and/or sustainability report
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Disclose information to the public through the firm website, conference calls, press releases
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Provide information to analysts and/or rating agencies
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Provide information to government officials for compliance to legislation
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Provide information to local communities and non-governmental organizations
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Other uses not mentioned (please specify) —————
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4.
Indicate your agreement (1 = completely disagree, 2 = mostly disagree, 3 = somewhat disagree, 4 = neither disagree nor agree, 5 = somewhat agree, 6 = mostly agree, 7 = completely agree) on the following statements:
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Overall, managers are satisfied with the quality (relevance, timeliness, accuracy and format) of social information provided by our firm’s measurement and internal reporting systems
-
-
5.
Amongst the objectives formally assigned to managers within your firm, are there any targets related to social issues (i.e., work-related injury rates, absenteeism rates, health and safety costs and investments, average number of training hours per employee, number of third-party social audits on suppliers) (yes/no)?
-
6.
If yes:
-
how many managers (in percentage) such social targets are assigned to formally? (%)
-
what percentage (if any) of managers’ variable compensation (annual bonus and/or annual salary increase) depends upon the achievement of such social targets on average? (%)
-
-
7.
Rate your firm’s overall performance for the last fiscal year, compared to other competitors across the industry, on each of the following objectives (1 = much worse, 2 = worse, 3 = slightly worse, 4 = neither worse nor better, 5 = slightly better, 6 = better, 7 = much better):
-
Complying with social (i.e., health and safety, human rights) regulations
-
Limiting social impact beyond compliance
-
Preventing and mitigating social crises (i.e., work-related fatal injuries, incidents of discrimination, incidents of human rights violations across the supply chain)
-
Educating employees and the public about social issues (i.e., health and safety, human rights)
-
Section II: Firm’s Social Responsibility Approach
In this section you will find questions on your firm’s approach to social responsibility, in terms of beliefs, practices and structure.
-
8.
Indicate your agreement (1 = completely disagree, 2 = mostly disagree, 3 = somewhat disagree, 4 = neither disagree nor agree, 5 = somewhat agree, 6 = mostly agree, 7 = completely agree) on the following statements:
-
Our stakeholders feel that social responsibility is a critically important issue facing the world today
-
The public is very concerned about social problems (i.e., work-related injuries, human rights violations, corruption)
-
Our customers are increasingly demanding healthier and safer products and services
-
Our stakeholders expect our firm to be socially responsible
-
Being socially conscious can lead to substantial cost advantages for our firm
-
Our firm has realized significant cost savings by experimenting with ways to reduce the social impact of our products and processes
-
By regularly investing in research and development on healthier and safer products and processes, our firm can be a leader in the market
-
Our firm can enter lucrative new markets by adopting social strategies
-
Our firm can increase market share by reducing the social impact of our current products
-
Reducing the social impact of our firm’s activities will lead to a quality improvement in our products and processes
-
-
9.
Indicate your agreement (1 = completely disagree, 2 = mostly disagree, 3 = somewhat disagree, 4 = neither disagree nor agree, 5 = somewhat agree, 6 = mostly agree, 7 = completely agree) on the following statements:
-
The top management team (President/Chairman, Chief Executive Officer, Chief Operating Officer) in our firm is committed to social issues
-
Our firm’s social efforts receive full support from our top management
-
Our firm’s social strategies are driven by the top management team
-
-
10.
Does your firm issue a social (or sustainability) report (yes/no)?
-
11.
If yes, in which year did your firm publish its first social (or sustainability) report?
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12.
Does your firm have a Corporate Social Responsibility (or Sustainability) manager (i.e., a person formally in charge of managing social and/or environmental responsibility issues) (yes/no)?
-
13.
If yes:
-
Which department does the CSR (or Sustainability) manager belong to?
-
Communication and/or Public Relations
-
Marketing
-
Human Resources
-
Finance and/or Accounting
-
Risk Management and Compliance
-
CSR (or Sustainability) unit, reporting directly to the CEO
-
Other (please specify) —————
-
-
How many levels/tiers (according to your firm’s organization chart) separate the CSR (or Sustainability) manager from the CEO? (indicate 0 if the CSR manager is the CEO, 1 if the CSR manager directly reports to the CEO and so on)
-
How many times a year does the CSR (or Sustainability) manager interact with the top management team (President/Chairman, Chief Executive Officer, Chief Operating Officer)?
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Never
-
From 1 to 2
-
From 3 to 6
-
About once a month
-
About once a week
-
More than once a week
-
-
-
14.
Indicate the importance of each of the following practices in your firm (1 = not important at all, 2 = very slightly important, 3 = slightly important, 4 = somehow important, 5 = important, 6 = highly important, 7 = exceptionally important):
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Use of social arguments in marketing
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Social aspects in administrative work
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Periodic social audits
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Health & Safety training for firm’s employees
-
Total quality program with Health & Safety aspects
-
Sponsorship of social events
-
-
15.
Indicate whether the majority of your firm’s facilities is certified according to the following standards:
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OHSAS 18001
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SA8000
-
Section III: Personal Details of the Respondent
In this section you will find questions on you.
-
16.
Current role (job title)
-
17.
Years of experience in the current role
-
18.
Years of experience within the firm
-
19.
How many levels/tiers (according to your firm’s organization chart) separate you from the CEO? (indicate 0 if you are the CEO, 1 if you directly report to the CEO and so on)
-
20.
Education level:
-
1.
High school
-
2.
Professional education or university degree
-
3.
Master degree
-
4.
Doctorate degree
-
1.
-
21.
Gender
-
Male
-
Female
-
-
22.
Age (years)
Section IV: Health and Safety Information
In this section you will find questions on Health and Safety data within your firm.
-
23.
Total number of full-time employees (personnel) at the end of the last fiscal year
-
24.
Total number of hours actually worked in the last fiscal year
-
25.
Total number of work-related injuries in the last fiscal year
Section V: Firm’s Financial And General Information
In this section you will find questions on your firm and on its financial performance.
-
26.
Rate your firm’s overall performance for the last fiscal year, compared to other competitors across the industry, on each of the following objectives (1 = much worse, 2 = worse, 3 = slightly worse, 4 = neither worse nor better, 5 = slightly better, 6 = better, 7 = much better)
-
Return on investments (ROI)
-
Operating profit (EBIT)
-
Cash flow from operations
-
-
27.
Sales (in thousand euros or thousand pounds) in the last fiscal year
-
28.
ROI (Return on investments) in the last fiscal year
-
29.
Country where your firm is located
-
30.
Type of business
-
Food and beverages
-
Other light industries such as textiles, pulp and paper, printing, furniture, plastics, and other packaging materials
-
Chemical products including pharmaceuticals, oils, detergents, and cosmetics
-
Heavy manufacturing and machinery
-
Natural resources
-
Other sectors such as wholesale distribution, construction, transportation, and utilities
-
-
31.
Main product(s)/service(s)
-
32.
Indicate whether your firm is
-
1 = Listed 2 = Non-listed
-
1 = Parent company 2 = Local subsidiary
-
Appendix 2: Item Cross Loadings for the Main Variables (n = 97)
SPI use | Expected competitive advantage | Perceived stakeholder concern | Top manag. social commitment | Social performance | Economic performance | |
---|---|---|---|---|---|---|
SPI use | ||||||
Item 1 | 0.724 | 0.306 | 0.211 | 0.259 | 0.357 | 0.184 |
Item 2 | 0.744 | 0.272 | 0.136 | 0.243 | 0.318 | 0.184 |
Item 3 | 0.704 | 0.129 | 0.180 | 0.225 | 0.195 | 0.050 |
Item 4 | 0.731 | 0.219 | 0.150 | 0.070 | 0.193 | 0.046 |
Item 5 | 0.778 | 0.422 | 0.190 | 0.111 | 0.242 | 0.124 |
Item 7 | 0.662 | 0.247 | 0.245 | 0.230 | 0.381 | 0.150 |
Expected competitive advantage | ||||||
Item 1 | 0.300 | 0.783 | 0.393 | 0.240 | 0.233 | 0.149 |
Item 2 | 0.310 | 0.706 | 0.362 | 0.407 | 0.173 | 0.073 |
Item 3 | 0.188 | 0.623 | 0.396 | 0.331 | 0.176 | 0.145 |
Item 4 | 0.367 | 0.846 | 0.353 | 0.163 | 0.188 | 0.093 |
Item 5 | 0.319 | 0.863 | 0.417 | 0.141 | 0.124 | 0.162 |
Item 6 | 0.199 | 0.698 | 0.290 | 0.087 | 0.091 | 0.116 |
Perceived stakeholder concern | ||||||
Item 1 | 0.212 | 0.438 | 0.826 | 0.440 | 0.308 | 0.086 |
Item 2 | 0.099 | 0.184 | 0.580 | 0.412 | 0.386 | 0.098 |
Item 3 | 0.255 | 0.402 | 0.784 | 0.322 | 0.261 | 0.101 |
Item 4 | 0.202 | 0.404 | 0.888 | 0.409 | 0.299 | 0.146 |
Top management’s social commitment | ||||||
Item 1 | 0.291 | 0.286 | 0.415 | 0.965 | 0.365 | 0.177 |
Item 2 | 0.261 | 0.300 | 0.547 | 0.954 | 0.335 | 0.151 |
Item 3 | 0.234 | 0.262 | 0.451 | 0.965 | 0.344 | 0.140 |
Social performance | ||||||
Item 1 | 0.296 | 0.160 | 0.260 | 0.256 | 0.855 | 0.260 |
Item 2 | 0.317 | 0.077 | 0.279 | 0.381 | 0.843 | 0.259 |
Item 3 | 0.402 | 0.187 | 0.343 | 0.307 | 0.829 | 0.147 |
Item 4 | 0.350 | 0.289 | 0.361 | 0.265 | 0.791 | 0.242 |
Economic performance | 0.188 | 0.157 | 0.136 | 0.164 | 0.274 | 1.000 |
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Lisi, I.E. Determinants and Performance Effects of Social Performance Measurement Systems. J Bus Ethics 152, 225–251 (2018). https://doi.org/10.1007/s10551-016-3287-3
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DOI: https://doi.org/10.1007/s10551-016-3287-3