Stakeholder value disclosures: anchoring on primacy and importance of financial and nonfinancial performance measures

In the growing debate about stakeholder values, there has been little discussion about information overload or whether the requested disclosures can be effectively used. Stakeholder advocates call for complicated and massive environmental and related social disclosures while not considering how information overload might affect the discourse about corporate performance. Stakeholders, including shareholders, plead for more transparency in financial statements, management discussion and analysis (MDA), and other corporate disclosures. As we know, shareholders and boards of directors are most concerned with the ‘Holy Trinity’ of earnings per share, dividends and market value changes. We believe that managers and stakeholders involved in performance evaluations have multiple interests that extend beyond traditional shareholder value measures. We note that the Balanced Scorecard (BSC) was developed as one tool to reflect and communicate these multiple measures. We test how managers use (or ignore) multiple performance measures and we posit that stakeholders will face many of the same constraints when using and processing multiple disclosures including Corporate Social Reports (CSR), environmental, or similar disclosures. While we do not directly test a wide variety of stakeholder disclosures, we examine eight (four for a single subject) shareholder values (financial measures) and four stakeholder values (nonfinancial measures). The eight measures included in our research instruments serve as proxies for the multiple concerns that might be of interest to many stakeholders. Note that stakeholders are likely to be extremely interested in nonfinancial performance measures, while many shareholders will likely concentrate on financial performance measures. Field research has reported managers tend to favor financial measures while discounting or ignoring nonfinancial measures when evaluating subordinates, making it difficult to align performance evaluations and incentives with corporate strategies (Ittner et al. Account Rev 78:725–758, 2003). In this study, we find the relative weights managers place on financial and nonfinancial performance measures are influenced by both (1) presentation order and (2) the relative importance of specific measures. When financial measures are presented first, the manager who performs better on financial measures is rated higher than the manager who performs better on nonfinancial measures. However, when nonfinancial measures are presented first, managers who excel on nonfinancial measures are rated higher. Reports that include financial measures that are relatively more (less) important also produce higher (lower) ratings for the manager who excels on financial measures. Thus, the relative weights that superiors place on financial and nonfinancial measures in evaluating corporate managers’ performance are substantially anchored both by the order in which measures are presented as well as by the importance of the specific performance measures employed. Other stakeholder disclosures are likely to be similarly anchored, perhaps biased, by primacy and a priori importance rankings.     

An Empirical Analysis of the Amount of Publication Fees

Among the financing strategies available for Open Access (OA), the author-pays business model has received increasing attention. The consequences of this approach, however, for the system of scholarly communication and for publishing houses as participants in value added, have remained largely unclear. The paper presented here, therefore, analyzes the probable realistic magnitude of publishing fees in different subjects, based on empirical data. The paper shows that the most favorable conditions are met in the Natural Sciences and in Mathematics. However, the analysis also shows that publishing houses would have to raise publishing fees well beyond the level that scientists are willing to pay. Furthermore, the analysis leads to the conclusion that the amount of money currently available in the system of scholarly communication is probably not sufficient for the sustainable financing of publishing fees.     

Gesellschafterausstieg in großen Familienunternehmen

Zusammenfassung  Dieser Beitrag befasst sich mit dem Ausstieg von Gesellschaftern aus Familienunternehmen als bedeutendes Corporate Governance-Problem. Im Mittelpunkt steht die Untersuchung der Wirkung von Ausstiegsmotiven, Rahmenbedingungen sowie Ausstiegsbarrieren auf die Belastung von Unternehmen und Familie durch den Gesellschafterausstieg. Eine explorative empirische Untersuchung von 55 gro?en deutschen Familienunternehmen liefert Ans?tze für eine Organisationstheorie des Familienunternehmens und für praktische Empfehlungen bei der Gestaltung von Satzung und Ausstiegsverhandlung.

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Summary  This article deals with the exit of shareholders in family owned businesses as an important corporate governance problem. We mainly analyse the effect of exit motivations, exit conditions, and barriers to exit on the exit’s burden for the company and the family. An explorative empirical study of 55 large German family owned businesses comes up with ideas for an organization theory of family owned businesses as well as some practical recommendations for statutes and exit negotiations.

     

Scaling up to Increase Community-Based Organization Voice

This is a collaborative, community-based study of the merger of two Chicago community-organizing groups seeking to expand their geographic base and political power. Although the merger enabled the new organization to increase and use its power, this case also illustrates the various ways the merger presented opportunities for the new organization to maintain effectiveness at multiple scales while sustaining strong internal democracy and connections to local residents. By consolidating and leveraging new and old political relationships, and by maintaining or increasing the civic benefits of organizing, this merger provides important lessons for organizing in diverse community settings.     

The value of a player in n-person games

. The article decomposes the Shapley value into a value matrix which gives the value of every player to every other player in n-person games. Element Φ_ij(v) in the value matrix is positive, zero, or negative, dependent on whether row player i is beneficial, has no impact, or is not beneficial for column player j. The elements in each row and in each column of the value matrix sum up to the Shapley value of the respective player. The value matrix is illustrated by the voting procedure in the European Council of Ministers 1981–1995. Received: 9 September 1998/Accepted: 11 February 2000     

Frame Correction Modelling with Applications to the German Register‐Assisted Census 2011

Frame corrections have been studied in census applications for a long time. One very promising method is dual system estimation, which is based on capture–recapture models. These methods have been applied recently in the USA, England, Israel and Switzerland. In order to gain information on subgroups of the population, structure preserving estimators can be applied [i.e. structure preserving estimation (SPREE) and generalized SPREE]. The present paper extends the SPREE approach with an alternative distance function, the chi‐square. The new method has shown improved estimates in our application with very small domains. A comparative study based on a large‐scale Monte Carlo simulation elaborates on advantages and disadvantages of the estimators in the context of the German register‐assisted Census 2011.     

Authentic leadership and leaders' mental well-being: An experience sampling study

Research on authentic leadership has yielded important insights about its effects on subordinates. However, its consequences for the leaders themselves remain largely unexamined. This is problematic, as organizations require their leaders to provide guidance and leaders' mental well-being is a prerequisite for this. Drawing on the theories of ego-depletion and authentic leadership, we investigate the role of authentic leadership in predicting leaders' mental well-being. In an experience sampling study, we apply hierarchical linear modeling to analyze 396 observations from 44 executives. Our multilevel moderated mediation analyses reveal that authentic leadership reduces leaders' stress and increases their work engagement and that these effects are mediated by leader mental depletion. Moreover, we show that the indirect effects are contingent on the extent to which leaders interact with their subordinates: authentic leaders deplete less with increasing follower interaction, while inauthentic leaders deplete less with decreasing follower interaction.     

Globale organisation — globale manager — globale Klasse?

The globalization of business corporations led to the thesis that a so-called global management class would emerge, both integrating transnational companies and facilitating a global business culture which is able to turn cultural diversity into a competitive advantage. Two questions stem from this thesis: First, how do talents and high potentials in transnational companies become global managers? Second, is global management to be understood as an integrating culture or as a selective one in the context of transnational corporations? The article explores these questions by contrasting the theory of global management with empirical findings from research concerning the strategies of international management assignment and the forming of expatriates’ “mental memberships“. It is shown that global management rests on a ‘thin’ Ethos of economic rationalities which give way to an exclusive “business monoculture” challenging cultural diversity taking place in everyday-life of transnational organizations.     

Effects of data breaches from user-generated content: A corporate reputation analysis

A threat for a growing number of firms in various industries is the occurrence of different breaches of sensitive corporate data. These critical events represent vulnerability for firms' corporate reputations, whose multiple dimensions are affected by customers negative perceptions in various ways. Further, in the Industry 4.0 era, the redundancy of scandals on social media can exacerbate negative effects. This paper reports an investigation into the effects of data breaches on corporate reputation dimensions. In this context, the study conducted latent Dirichlet allocation analysis on social media user-generated content (UGC) for a sample of 35 firms in nine industries that suffered a data breach incident between 2013 and 2016. Incidents have been categorized into three categories: “intentional and internal,” “unintentional and internal,” and “intentional and external” data breaches. The aim of the study was to discover how reputational dimensions changed after these critical events and to identify the differences among the types of data breaches.Results reveal that after critical events, more reputational dimensions appear to be relevant. While before critical events, users typically discuss the “perceived quality” of a firm's offer, after all three types of data breaches, users also pay attention to “customer orientation” and “corporate performance” dimensions. Another key reputation dimension, especially after intentional and internal data breaches, is the “firm as employer,” particularly in the context of a lack of investment in training regarding these events.These findings provide key insights for academics and practitioners to understand large-scale data breaches effects and reputational drawbacks after such incidents.     

Numerical solution of optimal allocation problems in stratified sampling under box constraints

Modern sampling designs in survey statistics, in general, are constructed in order to optimize the accuracy of estimators such as totals, means and proportions. In stratified random sampling a variance minimal solution was introduced by Neyman and Tschuprov. However, practical constraints may lead to limitations of the domain of sampling fractions which have to be considered within the optimization process. Special attention on the complexity of numerical solutions has to be paid in cases with many strata or when the optimal allocation has to be applied repeatedly, such as in iterative solutions of stratification problems. The present article gives an overview of recent numerical algorithms which allow adequate inclusion of box constraints in the numerical optimization process. These box constraints may play an important role in statistical modeling. Furthermore, a new approach through a fixed point iteration with a finite termination property is presented.