4,072 research outputs found

    Auditor selection of negotiation strategies : the effect of motivational factors and bargaining power under a throughput model

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    Motivational factors and bargaining power have been recognized by scholars and practitioners alike, as important elements for negotiation strategies. However, there has been little effort to date to empirically or theoretically study the effect of these factors in the context of auditor-client negotiation while adopting a decision-making process framework. We present a Throughput Model framework that describes the decision-making process of auditors when they make decisions about negotiation strategies. The model depicts how (a) perception of motivational factors and (b) bargaining power affect the choice of negotiation strategy and identifies different pathways auditors use in their decision about negotiation strategies.In our experiment, we manipulate engagement risk perception, client pressure, corporate mechanisms strength as well as financial information. We. investigate their effects on auditor decision making about the likelihood of accepting client's management alternative and on the negotiation strategies choice. We find that only engagement risk perception influences auditor's propensity to accept aggressive accounting treatments of the client. This in turn influences the use of all the negotiation strategies. On the other hand, client pressure only has effect on compromising strategies while bargaining power influences the concessionary strategy of auditors. Moreover, two dominant decision making pathways are used by auditors, i.e. P→J→D and P→D

    What determines IPO underpricing ? Evidence from a frontier market

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    This paper empirically analyzes the short run performance of Tunisian initial public offerings (IPO). It sheds light on the determinants of IPO’s in a context of a frontier market characterized by high information asymmetry, low information efficiency, thin trading and the presence of “noise” traders. Using a sample of 34 Tunisian IPO’s from the period 1992-2008, we find that the average market adjusted initial return for the first three trading days is about 17.8 percent. The level of underpricing is related to retained capital, underwriter’s price support, oversubscription, listing delay and the offer price. Age of the firm, its size and the size of the offer do not seem to reduce the amount of money left on the table by issuers. It appears also that underpricing is driven by irrational investors (ipoers) seeking for short-run capital gains. These results remain unchanged after controlling for the presence of institutional investors and the existence of liquidity contract.Initial public offerings; Short-run underpricing; Underwriter’s price support.

    Search for dark forces at KLOE

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    The existence of a light-dark-force mediator has been tested with the KLOE detector at DAΊNE. This particle, called U, is searched for using the decay chain φ → ηU, with the final state η → π+π− π0, U → e+e−. No evidence is found in 1.5 fb−1 of data. An upper limit on the existence of the U has been set, in the mass range 50 < MU < 420 MeV. We are studying other η dominant decay channels as the 2Îł and the 3π0. The combined fit will extend the upper limit on the overall mass range

    Modeling e-Business with eBML

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    In this paper we demonstrate that modeling e-business strategies is important in a time where the first e-business disillusionment has taken place. The objective of this Paper is twofold. First we propose a theoretical e-business model framework (eBMF) for aligning e-business initiatives and projects. This framework rep-resents an ontology, which will allow firms to develop a sound e-business model, in an environment that is amongst other things characterized by new forms of network organizations. Second we show why the eX-tensible Markup Language (XML) is an adequate technology for describing this theoretical framework in a formal way.xml, e-business models, e-business

    Image Repair: Exploring Trump's Tweets in Response to Family Separation Crisis

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    Image repair was brought into the spotlight in 2018 when the family separation crisis put President Trump under significant public scrutiny when his image was tarnished regarding his actions towards the issue. This study’s objective was to identify the image repair strategies Trump employed in his tweets in order to repair his image, and evaluate their overall effectiveness during this time. A qualitative approach to content analysis was used to categorize the image repair strategies according to Benoit’s (1995, 1997) typology. Gallup presidential approval ratings were also used to determine the effectiveness of those strategies. The analysis yielded the use of reducing offensiveness, denial, and evading responsibility as predominant defense strategies employed by Trump. Political polarization and demographic characteristics were two of the main factors that impacted the effectiveness of the used strategies
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