Agenda Entrance Complexity in International Accounting Standard Setting: The Case of IFRS for SMEs

Features of rational decision making (such as agenda entrance criteria and statement of jurisdiction) barely conceal the complexity of international accounting standard setting. In 2003, when the International Financial Reporting Standard for Small and Medium‐sized Entities (IFRS for SMEs) project achieved agenda entrance, the International Accounting Standards Board's (IASB) jurisdiction was to develop, ‘a single set of … accounting standards … to help participants in the world's capital markets’. Drawing on interviewees' recollections and other material, this study of how the project achieved agenda entrance finds within‐IASB opposition to the project, arguing it was outside the IASB's jurisdiction that dissolved with the realisation that the IASB's jurisdiction would be changed to encompass the project.     

Are women expected to be more generous?

This paper analyzes if men and women are expected to behave differently regarding altruism. Since the dictator game provides the most suitable design for studying altruism and generosity in the lab setting, we use a modified version to study the beliefs involved in the game. Our results are substantial: men and women are expected to behave differently. Moreover, while women believe that women are more generous, men consider that women are as generous as men.

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Electronic Supplementary Material  The online version of this article () contains supplementary material, which is available to authorized users. We appreciate comments from Josemari Aizpurua, Shoshana Neuman and participants in seminars at Bar-Ilan University, Max Planck Institute of Economics, Univ. Publica Navarra. Tim Cason and one anonymous referee made substantial comments on the previous draft. Financial support from CICYT (SEJ2007-62081/ECON and SEJ2006-00959/SOCI) and FCEA (SOC2.05/43) is gratefully acknowledge. Martha Gaustad revised the English grammar.     

Implementing New Institutional Logics in Pioneering Organizations: The Burden of Justifying Ethical Appropriateness and rustworthiness

This mixed-methods case study describes the experiences of a rural health organization in Canada that was a pioneer in undergoing institutionally driven radical change. This change was advocated by senior managers and physicians with the strong backing of the government. The senior managers and physicians made a strong case for the radical change and argued that a focus on efficiency and wellness would lead to improved service and quality of patient-care. However, this radical change initiative was resisted by nurses and support staff who perceived that these changes were being driven by market-based institutional logics and questioned their ethical appropriateness in a public system. They also expressed a lack of trust given the large-scale layoffs in a prior restructuring. These findings run counter to extant theory by highlighting the role of agency despite institutional pressures. Specifically, change implementers not only face the burden of justifying ethical appropriateness of institutional logics, but also are required to engage in persuasive discourse that these institutional logics protect the interests of the members.     

An empirical study of e-government diffusion in Fiji: a holistic and integrative approach

Pacific Island countries (PICs) are facing certain unique challenges in e-government diffusion due to their geographic, cultural, social, and economic environments. However, very few rigorous empirical studies have been published about e-government diffusion issues in the region. To address the knowledge gap, we conducted a case study of Fiji. Drawing on Fountain’s technology enactment framework as a theoretical lens, we identified and investigated in a holistic and integrative way the major issues and challenges which influenced e-government diffusion and outcomes in Fiji. The study has significant implications both for research and practices not only in Fiji but also in the PICs.     

Stakeholder value appropriation: The case of labor in the worldwide mining industry

Research Summary : We evaluate how the value appropriated by employees varies in response to an exogenous shock to the price of the firm's product and how this variation depends on institutional and ownership structures. Institutional and ownership structures that favor employees can influence firms’ location decisions and shareholders’ incentives to invest. Using data from the main copper mines in the world, we show that the value appropriated by employees rises in response to an exogenous increase in the price of minerals. Our results indicate that the magnitude of the increment in the value captured by employees is larger in stated‐owned companies, when labor regulations promote productivity‐based payments, when wages are determined through a centralized bargaining process, and when regulations associated with hiring and firing are more flexible. Managerial Summary : We show how labor regulations and state ownership affect the value appropriated by employees when there are exogenous changes in the price of the firm's products. Since the value generated by a firm is distributed among different stakeholders, a higher appropriation of value by employees results in lower appropriation by another party. Therefore, by changing the distribution of value, managerial decisions about location and entry could be affected. For instance, shareholders of firms with positive future expectations about the prices of their products might prefer to enter markets in which salary negotiations are not centralized or where partnership with the local government is not mandatory. Overall, our analysis calls for the consideration of the external environment when evaluating value appropriation by different types of stakeholders.     

Picking the Measuring Stick: The Role of Leaders in Social Comparisons

Organizational members frequently evaluate how their abilities and standing compare with those of their colleagues. Although these comparisons can have a negative impact on organizations, little attention has been paid to the role of leaders in these processes. Drawing on interviews with individuals in leadership positions in business schools, we develop a framework to explain what triggers leaders’ attention to social comparisons among faculty and how they become involved in them. Central to this framework are leaders’ self‐schemas, which encompass their preferences about the criteria members should use in making comparisons. Leaders’ self‐schemas are activated by discrepancies between their own comparative judgements and those they perceive members to be making and impel them to act in ways consistent with their preferred bases of comparison. Our framework repositions social comparisons as a multi‐perspectival, political phenomenon in which leaders see themselves as playing a role in shaping members’ evaluations and workplace interactions.     

Validation of Expert Systems for Innovation Management: Issues, Methodology, and Empirical Assessment

Faced with the complexities of managing new product development, most of us would welcome the support of a computer-based system that captures the knowledge and the reasoning capabilities of experts in our field. Considerable effort has been focused on the design and development of expert systems for applications such as new product management. However, design and development are only two steps on the path to successful implementation of a useful expert system. A rigorous validation process is essential for ensuring that the expert system performs as intended. Using the INNOVATOR expert system as an example, Sundaresan Ram and Sudha Ram propose and test a framework for validating expert systems designed for new product management. The proposed validation framework considers three aspects of the expert system: its knowledge acquisition methodology, its performance, and its utility. Validation of an expert system's knowledge acquisition methodology involves assessment of the knowledge sources used, the criteria for selecting human experts, and the methods used for knowledge acquisition. Using multiple sources improves the likelihood that the expert system will capture the necessary core knowledge. Similarly, selection of the experts who are to supply the knowledge used by the expert system should be based on reliable measures of new product expertise rather than ad hoc measures. The system's performance is evaluated through formal tests of the accuracy and the completeness of the knowledge base, the consistency and the accuracy of the decisions made by the system, and the reasoning process by which the system reaches its decisions. Such tests may involve direct examination of the system by experts, and Turing tests, which compare both the recommendations and the reasoning process of the system with those of selected experts. Both types of tests may involve experts from whom knowledge was acquired during the development of the system as well as experts who were not involved in the design and development of the system. Assessment of an expert system's utility focuses on user perceptions of system performance and utility as well as the design of the user interface. First, end-users must evaluate the relevance of the chosen problem domain. In other words, the validation process must verify that the expert system addresses an important problem that requires decision support tools. Second, the expert system must provide a logical, systematic approach to solving the problem. Finally, the expert system must provide a consistent, intuitive user interface.     

Who should practice price discrimination using rebates in an asymmetric duopoly?

Price discrimination is generally thought to improve firm profits by allowing firms to extract more consumer surplus. In competition, however, price discrimination may also be costly to the firm because restrictive incentive compatibility conditions may allow the competing firm to gain market share at the discriminating firm’s expense. Therefore, with asymmetric competition, it may be the case that one firm would let the other firm assume the burden of price discrimination. We investigate optimal segmentation in a market with two asymmetric firms and two heterogeneous consumer segments that differ in the importance of price and product attributes. In particular, we investigate second-degree price discrimination under competition with explicit incentive compatibility constraints thus extending prior work in marketing and economics. Focusing on the managerial implications, we explore whether it would be profitable for either or both firms to pursue a segmentation strategy using rebates as a mechanism. We identify conditions under which one or both firms would want to pursue such segmentation. We find that segmentation lessens competition for the less price-sensitive consumer segment and that this results in higher profits to both firms. A key to understanding this result is that segmentation leads to consumer remixing. We establish the key result that if firms are asymmetric in their attractiveness to consumers, the disadvantaged firm in our model is more likely to pursue a segmentation strategy than its rival in equilibrium. We then ask whether this result prevails in practice. To this end, we explore competitive segmentation empirically and are able to verify that disadvantaged firms indeed pursue segmentation through rebates with greater likelihood.     

Stock market integration and volatility spillover: India and its major Asian counterparts

Stock market integration and volatility spillover between India and its major Asian counterparties is studied. Apart from different degrees of correlations, contemporaneous intraday return spillovers between India and its Asian counterparts are found to be positively significant and bi-directional. Hong Kong, Korea, Singapore and Thailand are found to be four Asian markets from where there is significant flow of information in India. Though most of the information gets transmitted between the markets without much delay, some amount of information still remains unsent and is found to be successfully transmitted as soon as the domestic market opens in the next day.     

A comparison of the relative costs of financial distress models: artificial neural networks,logit and multivariate discriminant analysis

This study uses two artificial neural networks (ANNs), categorical learning/instar ANNs and probabilistic (PNN) ANNs, suitable for classification and prediction type issues, and compares them to traditional multivariate discriminant analysis (MDA) and logit to examine financial distress one to three years prior to failure. The results indicate that traditional MDA and logit perform best with the lowest overall error rates. However, when the relative error costs are considered, the ANNs perform better than traditional logit or MDA. Also, as the time period moves farther away from the eventual failure date, ANNs perform more accurately and with lower relative error costs than logit or MDA. This supports the conclusion that for auditors and other evaluators interested in early warning techniques, categorical learning network and probabilistic ANNs would be useful. © 1997 John Wiley & Sons, Ltd.