Measurement Errors and Information Content of Segment Reporting

This paper assesses the measurement errors inherent in segment reporting. Measurement errors are gauged by comparing the correlation of segment results with their industry to the corresponding correlation for single line-of-business firms operating in the same industry. The findings show that the measurement errors in segment information, particularly earnings, are larger than those in the financial information reported by single line-of-business firms. The cross-sectional variation in the measurement errors can be traced to cost/revenue allocations, management intervention in segment reporting, and the operational structure of multi-segment firms. Market tests indicate that the information content of segment information is inversely related to the estimated measurement errors. This revised version was published online in November 2006 with corrections to the Cover Date.     

Behavioral agency and corporate entrepreneurship: CEO equity incentives & competitive behavior

Scholars have long studied drivers of entrepreneurial behavior among established firms. Yet little is known about how individual factors shape a firm’s choice to pursue entrepreneurship. We draw on behavioral agency theory to explore the role of equity incentives in driving corporate entrepreneurship. Our findings suggest CEOs avoid corporate entrepreneurial behaviors as their option wealth increases. However industry dynamics also prove to be an important contingency when predicting the effects of both restricted stock and stock options on the likelihood that the CEO engages in corporate entrepreneurship. Our findings provide a theoretical platform for predicting dimensions of entrepreneurial behavior and highlight effects of CEO equity ownership.

     

The impact of network configurations on value constellations in business markets — The case of an innovation network

A growing body of scholars are advocating a better understanding of how value is created in business networks, rather than merely in business relationships or at the level of single actors. Among such networks, innovation networks, i.e. the configurations of strategic entrepreneurial nets aimed at improving the effectiveness of innovation performance, have come under scrutiny in the business marketing literature. However, research that explicitly connects value considerations with innovation network configurations is still in its infancy, with empirical evidence being notably scarce. This study is aimed at identifying if and how network configurations affect value constellation aspects in business networks, in terms of value recipients and value outcomes. We interviewed key informants representing 46 high-technology entrepreneurial firms co-located in an innovation network (Daresbury Science and Technology Park — UK). Our study identifies that different network configurations can co-exist in the same overall network; these, nevertheless, are not alternative independent structures, but rather they interact with each other through actors spanning their boundaries. Our study thus provides an understanding of network configurations relating to specific value consequences, but also provides evidence relating to the interactions between different configurations. By doing this, we establish a bridge between a business marketing and a strategy perspective on value in networks. Important managerial implications and implications for policy makers also emerge from our study.     

Make IT Work: The Labor Market Effects of Information Technology Retraining in the Netherlands

De Economist - The aim of this paper is to evaluate the effects of an active labor market program (ALMP) for higher educated workers in the Netherlands. The one-year program is characterized by six...     

Intuition and rationality in intrapreneurship and innovation outputs: The case of health professionals in primary health care

The aim of this article is to explore the role of cognitive styles and intrapreneurship in health professionals’ innovation outputs, as well the mediated effect of intrapreneurship between cognitive styles and innovation output. This study used the survey method of data collection, through a self-administered questionnaire. Partial least square structural equation modelling method was used to analyse the result of the sample of 209 professionals of primary health care providers in Northern Portugal. Our findings reveal that cognitive style plays a significant role in intrapreneurship and innovation outputs, which are mediated by intrapreneurship. In particular, health care professionals with the rational cognitive style are likely to be more of a intrapreneur and innovative as compared to those with a intuitive cognitive style. Promoting intrapreneurship is crucial for successful innovation outputs. This study reveals that an understanding of the cognitive style of the health care professionals can help managers allocate appropriate individuals to different healthcare tasks. Our primary contribution to theory has been to highlight the importance of cognitive styles in intrapreneurship and innovation within the context of primary health care organizations.

     

A critical overview of privacy-preserving approaches for collaborative forecasting

Cooperation between different data owners may lead to an improvement in forecast quality—for instance, by benefiting from spatiotemporal dependencies in geographically distributed time series. Due to business competitive factors and personal data protection concerns, however, said data owners might be unwilling to share their data. Interest in collaborative privacy-preserving forecasting is thus increasing. This paper analyzes the state-of-the-art and unveils several shortcomings of existing methods in guaranteeing data privacy when employing vector autoregressive models. The methods are divided into three groups: data transformation, secure multi-party computations, and decomposition methods. The analysis shows that state-of-the-art techniques have limitations in preserving data privacy, such as (i) the necessary trade-off between privacy and forecasting accuracy, empirically evaluated through simulations and real-world experiments based on solar data; and (ii) iterative model fitting processes, which reveal data after a number of iterations.     

Goodwill and Mandatory Disclosure Compliance: A Critical Review of the Literature

The aim of this paper is to critically analyse the literature published from 2002 to mid‐2015 on disclosures of goodwill and their respective impairment tests; identify the main contributions of the literature, as well as its limitations; and suggest new approaches for future research. We also present a summary of the main determinants of disclosures on goodwill in the literature as well as the still scarce studies’ conclusions of those disclosures in the market. After a review of the literature, we discuss the need to reinforce enforcement mechanisms, so as to improve the level of compliance of disclosures on goodwill and their impairment tests. The majority of the analysed literature reveals that the information disclosed about goodwill is incomplete and largely heterogeneous, indicating a reduced level of compliance with the disclosures required by accounting standards. The paper may support the development of future empirical studies about goodwill's disclosures, which will bridge the identified gaps in the literature.     

Using student response systems in the accounting classroom: Strengths,strategies and limitations

A Student Response System (SRS), often referred to as a “clicker,” enables students to individually answer instructor questions on a real-time basis using individual mobile devices, and have the aggregate responses displayed as feedback to the class at the instructor’s discretion. A mobile device can be a proprietary, vendor-specific remote, or a multi-purpose item such as a smartphone or computer. While SRSs have been used in education for some time, we perceive the adoption rate in accounting classes as still being quite low. This paper is a “how to” and “why” guide for accounting faculty who are considering using SRSs, and for experienced users who seek to refine or expand their SRS use.