889 research outputs found

    iRobot Corporations Intellectual Property: Accounting For Research And Development Under U.S. GAAP Versus IFRS

    Get PDF
    Founded by MIT scientists in 1990, iRobot Corporation designed, developed, and sold consumer and military robots to help people complete dull, dirty or dangerous tasks in real-world situations. The purpose of this case study is to stimulate discussion about intellectual property and how it should be measured and reported. Under U.S. generally accepted accounting principles (GAAP), iRobot reported no asset related to their internally generated intellectual property despite over 20 years of intensive research in robotics. In contrast, international financial reporting standards (IFRS) permitted firms to treat certain research and development (R&D) activities as an asset. By comparing U.S. GAAP and IFRS treatments of R&D, we provide an interesting example of the range of potential financial reporting effects across alternative accounting methods. Further, the case requires that students wrestle with the implications of moving from more rule-based accounting (U.S. GAAP) to more principles-based accounting (IFRS). How might U.S. managers, auditors, and investors likely respond? A teaching note is available

    Evaluation of the Reducing Reoffending Change Fund

    Get PDF
    The aim of this evaluation was to assess the extent to which the Public Social Partnerships model delivers effective mentoring services that reduce the risk of reoffending. It was carried out by Ciaran Mulholland, Jane Eunson, Lorraine Murray and Louise Bowen (Ipsos MORI Scotland) in collaboration with Professor Gill McIvor, Dr Margaret Malloch, Professor Bill Whyte, Dr Steve Kirkwood and Professor Fergus McNeill

    Self-Referential Probability and Rationality

    Get PDF
    This thesis argues for attitudes an agent ought to adopt towards two problematic examples of probabilistic self-reference. In particular, I look at a case of self-referential probability I refer to as the Probabilistic Liar, due to its similarities to the Liar paradox. The Probabilistic Liar emerges when an agent's credence can act as evidence for the truth of the proposition. Examples of self-reference turn out to be problematic for traditional Bayesian accounts of rationality. I develop an account of how rational agents ought to respond to the Probabilistic Liar by suspending judgment. Suspended judgment is an attitude more naturally talked about in traditional all-or-nothing belief models. I argue for suspended judgment in a credal framework and in particular that suspended judgment is a determinate attitude that should be represented by imprecise credences. This gives a principled way of weakening the requirement that a rational agent's degrees of beliefs ought to be probabilistically coherent. Once a solution to the Probabilistic Liar has been given a new question emerges. Can we give another example of problematic probabilistic self-reference in terms of the suspended judgement attitude? That is, can we give a Revenge problem. I explore how a Revenge problem can be generated for my account and how a rational agent can respond by having indeterminate attitudes. Finally, I argue that both the Probabilistic Liar and Revenge problems are cases of indeterminacy. I then look at the normative question of what attitude an agent ought to adopt towards cases of indeterminacy. Drawing on the attitudes I have argued for in the thesis, I argue for a pluralist answer to the normative question

    Evaluation of the Reducing Reoffending Change Fund

    Get PDF
    The independent evaluation of the Reducing Reoffending Change Fund (RRCF) assessed the extent to which the Public Social Partnership (PSP) model delivers effective mentoring services that reduce the risk of reoffending and support reintegration, and concluded that there is a strong case for the continuation and expansion of mentoring services
    corecore