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111.
Researchers typically infer real earnings management when a firm's operating and investing activities differ from industry norms. A significant problem with classifying deviations from industry averages as myopic earnings management is that companies can change their operating and investing decisions for strategic business reasons rather than to mislead stakeholders. Using principal components analysis, we systematically evaluate existing measures and develop a comprehensive real activities measure to better capture earnings manipulation. Our measure reflects (i) deviations from industry averages across multiple activities and (ii) other signals of manipulation. This approach is promising because, although there are many sources of abnormal activities, manipulation is more likely the cause when managers engage in multiple income-increasing abnormal activities that coincide with other signals that indicate an elevated risk of manipulation. This simple approach results in a metric that associates negatively with future operating performance and earnings persistence, yields high-power tests, and captures manipulation reasonably well across most life-cycle stages. Importantly, this approach performs better than the standard real earnings management metrics across all dimensions. Specifically, it generates the expected reduction in future earnings and reduced earnings persistence in 82% of the tests compared to 36% and 46% in common alternatives. Also, because this innovation does not require a long time-series or rely on future period realizations for classification, it can be useful in more research settings than other recent innovations in the literature.  相似文献   
112.
We document controlling shareholder (insider) opportunism in an insolvency regime that uses an accounting rule to determine bankruptcy eligibility. Our study sheds light on managerial incentives induced by weak investor protection laws. Using unique data on bankrupt firms from an emerging market, consistent with our prediction, we show insiders intentionally manage earnings downward to understate firm net worth so as to be able to file for bankruptcy. Downward pre-bankruptcy earnings management is associated with more payments to insiders and weaker performance, post-filing. A battery of tests suggests our results cannot be fully explained as an artifact of financial distress. Rather, they are consistent with insiders exploiting weak investor protection to extract private benefits at the expense of lenders and outside shareholders. Our study serves as a cautionary tale for all insolvency regimes that use a balance sheet test in an environment with weak creditor protection.  相似文献   
113.
Entrepreneurial ecosystems play a key role in the development of startups not only by providing support—such as flexible office space and access to skilled employees, mentors, and investors—but moreover by promoting concrete ideals about “good” entrepreneurship. However, we know less about the role that ecosystems play in managerial practices of startups. In our empirical analysis of management control systems (MCSs) in earliest-stage startups, we witness a strong influence of entrepreneurial ideals—above all, the Lean Startup philosophy—on the MCSs analyzed. Building on cross-sectional field study data resulting from a comprehensive field-immersion strategy and 50 interviews with key actors in an entrepreneurial ecosystem as well as with founder-managers of startups, we consider the entrepreneurial ecosystem as a collective meso-level community that mediates between macro-level institutional pressures and micro-level practices of startups. We show how this community, through a variety of what we term amplifying mechanisms, actively deinstitutionalizes a legacy entrepreneurial philosophy epitomized by the business plan concept. At the same time, the community propagates the Lean Startup philosophy so that this alternative has become the dominant institutional philosophy in the studied ecosystem and its startups. Due to the amplifying mechanisms exerted by the meso level, startups use MCSs that play a crucial role in the rapid experimentation and learning process toward finding a scalable business model that is characteristic of the Lean Startup philosophy. We highlight that this philosophy of scientific experimentation has, to a significant degree, transformed intuitive entrepreneurial processes into a set of transactions that can be steered and accelerated by MCSs.  相似文献   
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