974 resultados para a share


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Cross-sector partnerships are capable of achieving solutions to large scale societal problems, which when successful, are well-publicized. Partnering organizations not only reap reputational acclaim but garner valuable organizational benefits. Membership within successful partnerships would undoubtedly be considered a competitive advantage, yet several of these successful relationships have chosen to forgo this valuable position. Instead of retaining intellectual property, partnering organizations are sharing successful processes and practices with peers and competitors. This research examined three examples of best practice cross-sector partnerships to identify relationship success factors, how they involved other organizations and why they shared successful social responsibility initiatives with others.

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We investigate the relationship between managerial share ownership (MSO) and earnings as a measure of operating performance in Australia. To mitigate potential earnings management, we also use discretionary accrual adjusted earnings as an alternative measure of performance. We document a negative relation between MSO and performance followed by a positive relation. We suggest that these unique results are an artefact of certain Australian institutional features and imply that the ownership–performance relation is context-specific, with the wider corporate governance systems influencing the theorised incentive effects. We also posit that executive directors and independent directors have different ownership–performance incentives. Our results are consistent with this proposition and suggest that independent directors may be immune to the theorised incentive alignment or entrenchment effects associated with share ownership.

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Purpose – The purpose of this paper is to investigate the relation between the value of executive director share ownership and discretionary accruals.

Design/methodology/approach – This study uses a dataset of 1,173 firm-year observations drawn from 188 Australian listed companies for the period 2000-2006. The analysis is based on multivariate regression analysis and ordinary least square models were used to investigate the relation between the value of managerial ownership and discretionary accruals. The issue of potential endogeneity is addressed by using a simultaneous equation system.

Findings – A negative relation is found between value of managerial share ownership and discretionary accruals at lower levels of value of ownership, which is consistent with the theorised incentive alignment that as the managers commit more resources to their firms, stakeholders impose less contractual constraints specified in terms of accounting numbers and managers make lower accrual adjustments. After a certain level of value of ownership is attained, a positive relations seen, consistent with increased discretionary accrual adjustments associated with stakeholders anticipating managerial entrenchment. Also, it is found that these results are driven by firms with income increasing, as opposed to income decreasing, discretionary accruals.

Practical implicationsShares and options are forming an increasing proportion of executive remuneration that continues to be the subject of much debate amongst regulators and in the media. Showing that the value of share ownership may be an effective internal governance mechanism to help align incentives adds to the debate and has policy implications.

Originality/value – The paper's primary contribution is finding that the value (as opposed to proportion) of share ownership, typically representing a sizeable proportion of managers' undiversified wealth, is a potentially direct driver of theorised incentive alignment and entrenchment effects associated with share ownership.

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This article integrates typically separate SME research on e-commerce, business networking, and knowledge management into a model explaining factors influencing the willingness of SME owner-managers to share knowledge online in business networks in rural districts. This is important because e-commerce can assist owner-managers, often dispersed in rural districts, to share knowledge between face-to-face networking events. The main factors associated with willingness to share knowledge online were their willingness to share knowledge face-to-face and their intensity of Internet use. Entrepreneurial factors such as owner-managers' expectations of rapid growth, trading outside the district, and seeking information about customers/competitors were indirectly associated with online sharing via intensity of Internet use only. The model suggests network coordinators could encourage online knowledge sharing by assisting owner-managers to see the business value of e-commerce and by ensuring that networking events are suitable for owner-managers, whether or not they have entrepreneurial goals, to facilitate face-to-face knowledge sharing.

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We investigate the impact that investor sentiment can have on stock market following performances by the national cricket teams of India and Australia in one-day cricket matches from 1990 to 2011. Motivated by previous findings of cricket’s impacts on stock markets, this study expands on previous research by investigating whether performances of individuals within the teams can also have an impact on their respective leading stock indices. Using an event study, we find no evidence of player or team performances significantly impacting the stock or futures markets. However, we find evidence of a ‘mood effect’ of poor performance by key players of national cricket teams in terms of significant drop in trading volumes in the following day. Our research poses and statistically examines some interesting questions and opens up the field for further research on this intriguing topic of sporting event impacts on national economies.

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This article studies the influence of the non-tradable share reform in the cross-section of stock returns in China. Prior research has generally neglected this important development in the Chinese stock market. We find that the firm-specific illiquidity measures that reflect direct transaction costs, price impact and difficulties in trading immediacy, exhibit a positive and significant relationship with stock returns. These effects are particularly pronounced after the non-tradable share reform. Furthermore, in the post-reform era, portfolios with high illiquidity (i.e. high relative bid-ask spread, high Amihud illiquidity, low Amivest liquidity ratio) significantly outperform portfolios with low illiquidity, controlling for size, and book-to-market effects.

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This paper examines the effect of excess control rights on the leverage decisions made by Chinese non-SOEs before and after the Non-tradable share reform (NTS reform). We find that firms with excess control rights have more excess leverage and their controlling shareholders use the resources for tunneling rather than investing in positive NPV projects. We also find that excess leverage in firms with excess control rights decreases and the market reaction to announcements of related party transactions are more positive after NTS reform. This confirms that tunneling by the controlling shareholders actually reduced. We argue that in emerging markets where legal protection for creditors and shareholders is weak, controlling shareholders borrow excess debt to tunnel through inter-corporate loans and related party transactions. Furthermore the privatization of these economies can reduce the controlling shareholders' tunneling activities and associated excess leverage which destroys firm value.

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Multi-task learning is a learning paradigm that improves the performance of "related" tasks through their joint learning. To do this each task answers the question "Which other task should I share with"? This task relatedness can be complex - a task may be related to one set of tasks based on one subset of features and to other tasks based on other subsets. Existing multi-task learning methods do not explicitly model this reality, learning a single-faceted task relationship over all the features. This degrades performance by forcing a task to become similar to other tasks even on their unrelated features. Addressing this gap, we propose a novel multi-task learning model that leams multi-faceted task relationship, allowing tasks to collaborate differentially on different feature subsets. This is achieved by simultaneously learning a low dimensional sub-space for task parameters and inducing task groups over each latent subspace basis using a novel combination of L1 and pairwise L∞ norms. Further, our model can induce grouping across both positively and negatively related tasks, which helps towards exploiting knowledge from all types of related tasks. We validate our model on two synthetic and five real datasets, and show significant performance improvements over several state-of-the-art multi-task learning techniques. Thus our model effectively answers for each task: What shall I share and with whom?

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This paper presents a theoretical model which discusses the role played by the entrepreneurial risk on the distribution of the national income. In a two-period general equilibrium framework with competitive risk-averse entrepreneurs it is shown that the highest the risk borne by firms, the lower will be real wages, employment and the labour's share in output. The model helps explain the fall of the labour's share in the Brazilian output during the 1980s.