Purpose: Drawing on the phenomenological concepts of “empathy” and “communal emotions” developed by Edith Stein (1917, 1922), the purpose of this paper is to discuss the co-existence both of the legitimacy and accountability perspectives in voluntarily delivered social and environmental reporting (SER), based on different “levels of empathy” towards different stakeholders.Design/methodology/approach: The paper adopts an interpretive research design, drawn from Stein’s concept of empathy by using a mixed-method approach. A manual content analysis was performed on 393 cooperative banks’ (CB) social and environmental reports from 2005 to 2013 in Italy, and 14 semi-structured interviews.Findings: The results show that CBs voluntarily disclose information in different ways to different stakeholders. According to Stein, the phenomenological concept of empathy, and its understanding within institutions, allows us to interpret these multiple perspectives within a single social and environmental report. Therefore, when the process of acquiring knowledge in the CB–stakeholder relationship is complete and mentalised (level 3, re-enactive empathy), the SER holds high informative power, consistent with the accountability perspective; on the contrary, when this process is peripheral and perceptional (level 1, basic empathy), the SER tends to provide more self-assessment information, attempting to portray the bank in a positive light, which is consistent with the legitimacy perspective.Originality/value: The concept of empathy introduced in this paper can assist in interpreting the interactions between an organisation and different stakeholders within the same social and environmental report. Moreover, the approach adopted in this paper considers different stakeholders simultaneously, thus responding to previous concerns regarding the lack of focus on multiple stakeholders.

A unified treatment of all currently available cumulant-based indexes of multivariate skewness and kurtosis is provided here, expressing them in terms of the third and fourth-order cumulant vectors respectively. Such a treatment helps reveal many subtle features and inter-connections among the existing indexes as well as some deficiencies, which are hitherto unknown. Computational formulae for obtaining these measures are provided for spherical and elliptically-symmetric, as well as skew-symmetric families of multivariate distributions, yielding several new results and a systematic exposition of many known results.

Superpositions of Ornstein-Uhlenbeck processes provide convenient ways to build stationary processes with given marginal distributions and long range dependence. After reviewing some of the basic features, we present several examples of processes with non-Gaussian marginal distributions. Our main results concern asymptotic properties of sums and partial sums of these processes and their polynomial functions. Further, we discuss some applications to estimation.