Earnings management and initial public offerings: Evidence from the Netherlands

This paper presents one of the first studies of earnings management by initial public offering (IPO) firms in a European country. Using a sample of 64 Dutch IPOs, we investigate the pattern of discretionary current accruals (DCA) over time. We find that managers manage their company's earnings in the first year as a public company but not in the years before the IPO. We also examine the impact of earnings management on the long-run stock price performance of IPOs. We find a negative relation between the size of the DCA in the first year as a public company and long-run stock price performance over the next 3 years. A number of additional tests support these findings.     

The minimum variance hedge and the bankruptcy risk of the firm

In this paper, we analyze the influence of hedging with forward contracts on the firm's probability of bankruptcy (POB). The minimization of this probability can serve as a substitute for the maximization of shareholders' wealth. It is shown that the popular minimum variance hedge is generally neither necessary nor sufficient for the minimization of the firm's POB. Moreover, our model suggests a correction of the widespread view that a reduction in the variance of the future value of the firm is inevitably accompanied by a reduction in its default risk. We derive an analytical solution for the variance-minimizing hedge ratio of a firm exposed to both input and output price uncertainty that takes into account the issue of correlation. Based on this solution, we provide a graphical analysis to prove our claim that there is a fundamental difference between hedging policies focused on bankruptcy risk and those following conventional wisdom even if positive correlation constitutes a “natural” hedge.     

Some characteristics of adopters of a major innovation in the computer field and its potential use in marketing

The computer industry is changing dramatically thanks to new technologies that facilitate departure from the lock-in strategies pursued by the long-term industry leaders. New, highly competent competitors have entered the market with the resulting lower profit margins. Innovations in hardware and software are continuously introduced, and a rapid, successful introduction in the market is essential to gain a foothold before new contenders erode the opportunity. The selection of the most likely buyers is therefore important to direct the marketing efforts optimally. An international and a regional field study were carried out to identify the profile of organizations and individuals most likely to adopt an innovation in the computer field. These findings coupled with data base marketing techniques seem promising for a higher success rate in reaching the early adopters (lead users), making it possible to establish a first-mover advantage. The suggested approach can be used in other industries in rapid change.     

Contextual Innovation Management Using a Stage‐Gate Platform: The Case of Philips Shaving and Beauty

To improve its innovation process, Philips Shaving and Beauty (S&B) designed a blueprint for its innovation process. Although it has proved to be quite effective, it has experienced a lack of efficiency, in terms of frequent cost and time overruns, in the fuzzy front end of this process. We suggest a contextual innovation management approach to set up a stage‐gate‐based innovation process platform and thus improve the efficiency in the fuzzy front end, which means that, for different contexts, stage‐gate process variants will be designed from which unnecessary activities are removed and important activities are emphasized. The design is based on the identification of relevant contextual factors to develop variations of the common innovation process within Philips S&B. We distinguished different variants of the innovation processes within Philips S&B that can increase the efficiency in the fuzzy front end. Based on interviews within and outside Philips S&B, we identified problems and potential solutions with regard to efficiency in eight recently finished innovation processes. The results indicate that the most important contextual factors are the distinction between incremental and radical innovations, and between market and technology‐based innovations. We used these factors to design three variants on the basic platform of the stage‐gate process.     

Extending the enterprise evolution contextualisation model

Enterprise engineering (EE) emerged as a new discipline to encourage comprehensive and consistent enterprise design. Since EE is multidisciplinary, various researchers study enterprises from different perspectives, which resulted in a plethora of applicable literature and terminology, but without shared meaning. Previous research specifically focused on the fragmentation of knowledge for designing and aligning the information and communication technology (ICT) subsystem of the enterprise in order to support the business organisation subsystem of the enterprise. As a solution for this fragmented landscape, a business-IT alignment model (BIAM) was developed inductively from existing business-IT alignment approaches. Since most of the existing alignment frameworks addressed the alignment between the ICT subsystem and the business organisation subsystem, BIAM also focused on the alignment between these two subsystems. Yet, the emerging EE discipline intends to address a broader scope of design, evident in the existing approaches that incorporate a broader scope of design/alignment/governance. A need was identified to address the knowledge fragmentation of the EE knowledge base by adapting BIAM to an enterprise evolution contextualisation model (EECM), to contextualise a broader set of approaches, as identified by Lapalme. The main contribution of this article is the incremental development and evaluation of EECM. We also present guiding indicators/prerequisites for applying EECM as a contextualisation tool.     

The behavioural intentions of specialty coffee consumers in South Africa

More than 1.6 billion cups of coffee are consumed worldwide on a daily basis. South Africa is rapidly adapting to worldwide trends with speciality coffee consumption on the rise, with South Africa recently having been recognised as a key player in the speciality coffee industry. Emerging market trends in speciality coffee consumption have resulted in a number of changes in consumption patterns, preferences and consumer behaviour. The purpose of this study was to determine the behavioural intention of speciality coffee consumers in South Africa, using the Theory of Planned Behaviour. The data were gathered from a non‐probability sample of 327 respondents, who were selected through a self‐completion online questionnaire. The results indicate that males consume more speciality coffee than females. The majority of respondents consume speciality coffee more than once a day, and foam cappuccinos are consumed most regularly. The results of the stepwise multiple regression analysis demonstrate the utility of the Theory of Planned Behaviour as a conceptual framework for predicting the behavioural intention of speciality coffee consumers. The findings indicate that attitude, subjective norms and perceived behavioural control are important predictors of behavioural intention. Furthermore, perceived behavioural control is the most important factor influencing speciality coffee consumption, and the most influential of the direct measures of the Theory of Planned Behaviour. With the current rise in speciality coffee consumption among South Africans, the Theory of Planned Behaviour framework contributes to understanding those factors which influence regular speciality coffee consumption. It is recommended that marketers and practitioners adapt their offerings to appeal to the specific needs of the growing speciality coffee market in South Africa.