The Ethical Dilemma of Research and Development Openness Versus Secrecy

In previous research, we have argued that private companies should be more open with their scientific research findings. However, our research assumed, somewhat naively perhaps, that public institutions were quite open. Recent findings have suggested otherwise, and in this paper we explore the dilemma faced by industry, universities, and society in attempting to balance the needs of openness (to rapidly advance the body of knowledge), with secrecy (to protect the economic returns to a new innovation). G. Steven McMillan is an Associate Professor of Management at Penn State Abington. His research focuses on the management of technology, particularly how technological competence translates into economic performance. His PhD is from Temple University. Ronald F. Duska, PhD, holds the Charles Lamont Post Chair of Ethics and the Professions at The American College since 1996, and is the director of the American College Center for Ethics in Financial Services. He is the author, co-author, or editor of numerous books. His most recent books The Ethics of Accounting and Ethics for the Financial Services Professional were published in 2003. He has authored numerous articles on philosophy and business ethics and has lectured and/or taught business ethics as an adjunct at numerous universities, including The Wharton School and The Darden School. He offers workshops in ethics and serves as a consultant and expert witness on matters pertaining to ethics in financial services. Robert D. Hamilton, a PhD from the Kellogg School at Northwestern University, is Professor in the General and Strategic Management Department at Temple University, in Philadelphia. His research focuses on the management of technology as well as strategy implementation issues. Debra L. Casey, JD, MS is an Assistant Professor of Management at Penn State Abington. Her research focuses on conflict management, and in particular, the role of employee voice. She is a Law Review graduate of William and Mary, and a doctoral candidate in labor and industrial relations at Rutgers University.     

A review of current A/AS syllabuses in Design and Technology

Concluding remarks It can be seen that the common core has brought a great deal of consistency between the syllabuses. There was a belief that A-levels would be restructured as a result of the National debate about core skills for A-levels, but this now seems to have been shelved. The pressure now is from the evolving form of National Curriculum Technology and the search for continuity and progression and from the developing relationship with other 16–19 courses, e.g. BTEC (Business and Technician education Council). The recent paper by Smithers and Robinson (1992) failed to add very much to the debate as a result of the rather simplistic and divisive view it presented.The review of A and AS-levels in Design and Technology is due to begin in the near future. It is essential that a full representation of the issues and complexities of this field is made so that developments can be soundly based. Design and Technology has made great strides at A and AS-level and it is vital to ensure that this progress is both recognised and sustained through the review process.     

Export performance of small firms from small countries: The case of New Zealand

Drawing on traditional models of multinational expansion and organisational learning, Brouthers et al. (J Int Mark 17:21–38, 2009) prescribe that in some circumstances, small firms exporting from small countries should concentrate their exports into a single overseas market. These particular circumstances pertain to small Greek and Caribbean exporters in mature low-technology industries. This research extends this 2009 study to the same size group of small firms in another small country, New Zealand. Model estimation involved multiple regression methods on survey data from 249 small New Zealand exporters. Contrasting with Brouthers et al.’s advice, this study finds that small New Zealand exporters should not concentrate their exports into one or a few overseas markets. Success for these small firms stemmed from higher rates of R&D expenditure and multi-market exporting through company-owned channels in distant markets. These differences reflect the different environments and sample characteristics between the two studies. The paper contextualises further the evidence base on the strategies that small firm owner-managers should pursue and policy makers should promote.     

A Simple Estimator of Two-Dimensional Copulas,with Applications1

Copulas are distributions with uniform marginals. Non-parametric copula estimates may violate the uniformity condition in finite samples. We look at whether it is possible to obtain valid piecewise linear copula densities by triangulation. The copula property imposes strict constraints on design points, making an equi-spaced grid a natural starting point. However, the mixed-integer nature of the problem makes a pure triangulation approach impractical on fine grids. As an alternative, we study the ways of approximating copula densities with triangular functions which guarantees that the estimator is a valid copula density. The family of resulting estimators can be viewed as a non-parametric MLE of B-spline coefficients on possibly non-equally spaced grids under simple linear constraints. As such, it can be easily solved using standard convex optimization tools and allows for a degree of localization. A simulation study shows an attractive performance of the estimator in small samples and compares it with some of the leading alternatives. We demonstrate empirical relevance of our approach using three applications. In the first application, we investigate how the body mass index of children depends on that of parents. In the second application, we construct a bivariate copula underlying the Gibson paradox from macroeconomics. In the third application, we show the benefit of using our approach in testing the null of independence against the alternative of an arbitrary dependence pattern.     

The evolution of male-female earnings differentials in Canadian universities,1970–2001

Abstract .  The evolution of academic salaries and the gender earnings gap in Canadian universities is analysed using a unique Statistics Canada data set containing detailed information on all full-time teachers at Canadian universities over the period 1970 through 2001. Male salaries declined across cohorts, while female salaries remained stable; consequently, male-female earnings differentials have narrowed. Recent years have also seen increasing variation in academic salaries for both men and women. A gender earnings gap remains, the bulk of which can be explained by differences in men's and women's rank and field. The unexplained earnings gap has decreased over time.     

Researching the future: method or madness?

This paper examines the methodological issues behind futures studies, questioning whether it is possible to claim a futures study as methodologically ‘sound’, and critiquing how futures methodology fits within the methodological paradigms currently recognised in the research field. The extent to which futures methodology can be considered a paradigm in its own right is also examined as are the assumptive foundations of futures studies. While all the evidence raises many questions as to the form of futures methodology, the lack of clarity does not make a futures study invalid or unreliable, and hence sensemaking from the chaos of futures ‘data’ does ensure that futures studies can be based on method rather than madness.

How does one research the future? The very notion of researching the future is a paradox. The word research lies within the time boundaries of the past and the present so to research the future appears a logical impossibility. Attempts to ground the methodology in any single paradigm or set of constructs proves a fruitless task. Indeed, it becomes apparent that when undertaking research into an area that is something new, in the future, which could constitute a new field of research, fundamentally a new methodology needs to be created. This paper discusses how the development of a futures methodology is an on-going process which cannot be bounded by the limitations of strict rigour, but is nevertheless a rigorously sound approach to carrying out research.

When researching the future, no one method is appropriate in isolation. While quantitative methods such as forecasting, extrapolation and time series may prove useful if there is raw numerical data to work with, a hypothesis cannot be tested and proven as is the case in many quantitative studies. Given the nature of ‘the future’ itself, raw quantitative analysis needs contextualising and interpreting in light of the assumptive future constructs, and the assumptions themselves need examining for ‘assumption drag’ so that underlying trends and wave patterns are accounted for [1].     

Integrated Bayesian decision: A case

The process described in this article provides a framework for combining the judgments and experiences of each member of a decision-making unit. Utilizing the Bayesian approach to decision-making and the Jury of Executive Opinion the model may be of assistance to management teams, Boards of Directors and committees in reaching a consensus on critical decisions. The data are based on an actual case experience familiar to the authors.     

The Effect of Using a Lattice Model to Estimate Reported Option Values

Statement of Financial Accounting Standards 123R suggests that lattice valuation models may improve the estimates of reported employee stock option values relative to the more commonly used Black–Scholes (BS) model. However, lattice model critics have expressed concerns that managers may use lattice models' flexibility to opportunistically understate option values. In this study, we investigate a sample of firms that recently adopted a lattice model to value employee stock options to provide evidence on this issue by identifying the determinants of lattice model adoption and examining the effect of lattice model use on reported option values. We report three main results. First, we find that firms are more likely to adopt a lattice model when it is more likely to produce lower values than the BS model and when managers have incentives to lower stock option expense. Second, we find that firms adopting a lattice model increase understatement of reported option values more than firms that continue to use the BS model and that the incremental understatement is due to use of the lattice model. Third, we conduct several tests to examine whether the valuation effect of lattice model use is consistent with efforts to correct for documented shortcomings in the BS model and find no evidence that this is the case. Taken together, the evidence in this study suggests that firms adopt and implement lattice models primarily to lower reported option values.     

Human health and pesticide use in Sub‐Saharan Africa

While pesticides–such as insecticides, fungicides, and herbicides–are often promoted as inputs that increase agricultural productivity by limiting a range of pre‐harvest losses, their use may have negative human health and labor productivity implications. We explore the relationship between pesticide use and the value of crop output at the plot level and a range of human health outcomes at the household level using large‐scale, nationally representative panel survey data from four Sub‐Saharan African countries where more than 10% of main season cultivators use pesticides. We find that pesticide use is strongly correlated with increased value of harvest, but is also correlated with higher costs associated with human illness, including increased health expenditures and time lost from work due to sickness in the recent past. We take these results as suggestive that the findings of more targeted studies are indeed generalizable beyond their original, purposively chosen samples.