Are Alternative Organizational Forms the Solution to Limit Excessive Managerial Discretion?

Modern corporations have been widely accused of promoting values of managerial autonomy that can result in managerial waste and opportunistic behaviour, leading organizational theorists to suggest the adoption of alternative organizational forms that should normatively and structurally limit such autonomy. However, this mixed-methods study of an alternative organizational form – income trusts (1995–2005) – finds that income trusts were also characterized by excessive managerial autonomy. Managers strategically used the income trust form in discretionary ways such as by providing little information on important decisions to external parties, limiting investors’ right to oppose managerial actions and retaining firm earnings to a great extent. Thus, the article concludes that alternative organizational forms do not necessarily promote an ethical business culture since they are unable to overcome deeply institutionalized values of managerial autonomy.     

From Consolidation to Segment Reporting in Local Government： Accountability Needs,Accounting Standards,and the Effect on Decision-Makers

Consolidated Financial Statements （CFSs） in the public sector represent useful financial tools to improve transparency and accountability toward internal and external users. This aggregate view is only a part of the information needed in order to give politicians, managers, employees, financial institutions, rating agencies, and citizens a whole view of a local government＇s financial performance. It emerges the need to have segment information, covering specific policy areas for which it is appropriate to separately report financial and non-financial information. This paper, after having discussed the need for accountability and decision-making in a theoretical framework, gives account of a pilot project realized by the municipality of Reggio Emilia, which introduced CFSs and segment reporting. The empirical study is based on an action research as a methodological approach to solving practical problems. Finally, the paper also offers some practical suggestions to contribute to the applicability of the segment reporting in the public sector.     

Spatially Balanced Sampling: A Review and A Reappraisal

Spatially distributed data exhibit particular characteristics that should be considered when designing a survey of spatial units. Unfortunately, traditional sampling designs generally do not allow for spatial features, even though it is usually desirable to use information concerning spatial dependence in a sampling design. This paper reviews and compares some recently developed randomised spatial sampling procedures, using simple random sampling without replacement as a benchmark for comparison. The approach taken is design‐based and serves to corroborate intuitive arguments about the need to explicitly integrate spatial dependence into sampling survey theory. Some guidance for choosing an appropriate spatial sampling design is provided, and some empirical evidence for the gains from using these designs with spatial populations is presented, using two datasets as illustrations.     

EU Trade Regulation for Baby Food: Protecting Health or Trade?

This paper explores the effect of European Union (EU) food safety regulations on EU imports of baby food. Pesticides and contaminants contribute to various health problems. Children are more vulnerable to the dangers of pesticides and contaminants because as soon as they start eating solids, they consume a limited number of food items, most of which are fruits and vegetables. To protect the health of the most vulnerable part of the population, the EU regulations stipulate that no more than 0.01 mg/kg of any single pesticide residue is permitted in baby food. In this respect, the EU differs from most of its trading partners, the majority of which do not differentiate food safety regulations according to the age of the consumer. The purpose of this paper is to compare the EU regulations on maximum residue limits of pesticides to those of its major competitors through a severity index. This index is then introduced into a gravity equation to assess the impact on EU imports of baby food. We find that the EU regulation had a negative impact on the volume of trade but a positive one on the probability of setting up new trade relationships.     

How Accurately Can Z‐score Predict Bank Failure?

Bank risk is not directly observable, so empirical research relies on indirect measures. We evaluate how well Z‐score, the widely used accounting‐based measure of bank distance to default, can predict bank failure. Using the U.S. commercial banks’ data from 2004 to 2012, we find that on average, Z‐score can predict 76% of bank failure, and additional set of other bank‐ and macro‐level variables do not increase this predictability level. We also find that the prediction power of Z‐score to predict bank default remains stable within the three‐year forward window.     

Reflections and projections: A decade of Intellectual Capital Accounting Research

The purpose of this paper is to review and critique the field of Intellectual Capital Accounting Research (ICAR). The literature indicates that an organisational and business revolution is in progress concerning the need to understand the value of knowledge resources and how to manage them. The paper explores the field of ICAR by examining a decade of published research since Petty and Guthrie's (2000) seminal paper on ICA, “Intellectual capital literature review: Measurement, reporting and management” as published in the Journal of Intellectual Capital.The paper has four specific contributions. The first contribution is to identify the field of scholarship associated with ICAR. The second is to provide a comprehensive picture of what has happened in the field of ICAR over the past decade. Third, it provides evidence as to how and why the field of ICAR is changing. Fourth, it highlights areas for future research and policy developments.From these four contributions our definition of Intellectual Capital Accounting (ICA) emerges. That is, ICA is an accounting, reporting and management technology of relevance to organisations to understand and manage knowledge resources. It can account and report on the size and development of knowledge resources such as employee competencies, customer relations, financial relationships and communication and information technologies. Additionally, the analysis highlights several interesting patterns and worrying trends in the field of ICAR.     

Sustainability reporting by Australian public sector organisations: Why they report

Recent research on social and environmental (SE) reporting has focused on corporations, rather than public sector agencies. Also, there has been little interest in ascertaining the views of preparers of accounts regarding SE reporting. This study analysed why a group of “better practice” organisations reported on SE matters. The researchers conducted semi-structured interviews with key preparers in the various organisations and found that their reporting was informed by the latest GRI and aimed at mostly internal stakeholders. The annual report was only one of the media used for disclosure and adoption was driven by a key individual in the organisation.     

Causality in the Social Sciences: a structural modelling framework

Quality & Quantity - There is no unified theory of causality in the sciences and in philosophy. In this paper, we focus on a particular framework, called structural causal modelling (SCM), as...     

Model-based approach for importance–performance analysis

The importance that users or customers attach to various services and products is an essential part of customer satisfaction surveys. Some proposals for linking satisfaction and importance can be found in available literature. The objective is to identify and understand the dimensions with high importance but low perceived quality. These dimensions are primary candidates for focused improvement initiatives. In this study, we propose to apply a class of statistical models, denoted as CUB models, generally used to estimate the feeling and the uncertainty, to measure the importance of items on observed overall satisfaction. A questionnaire with explicit variables of importance for each dimension is considered to compare the obtained ranks with the observed ones. Then the estimated importance and the perceived quality, both obtained with the CUB models, will be jointly analyzed in different datasets coming from various fields. This approach will be compared with some others reported in the literature.