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Major Corporation (major + corporation)
Selected AbstractsPREDICTING THE IMPACT OF ANTICIPATORY ACTION ON U.S. STOCK MARKET,AN EVENT STUDY USING ANFIS (A NEURAL FUZZY MODEL)COMPUTATIONAL INTELLIGENCE, Issue 2 2007P. Cheng In this study, the adaptive neural fuzzy inference system (ANFIS), a hybrid fuzzy neural network, is adopted to predict the actions of the investors (when and whether they buy or sell) in a stock market in anticipation of an event,changes in interest rate, announcement of its earnings by a major corporation in the industry, or the outcome of a political election for example. Generally, the model is relatively more successful in predicting when the investors take actions than what actions they take and the extent of their activities. The findings do demonstrate the learning and predicting potential of the ANFIS model in financial applications, but at the same time, suggest that some of the market behaviors are too complex to be predictable. [source] Determinants of software volatility: a field studyJOURNAL OF SOFTWARE MAINTENANCE AND EVOLUTION: RESEARCH AND PRACTICE, Issue 3 2003Xiaoni Zhang Abstract Although technology advances have provided new tools for maintaining software, maintenance costs remain the largest component of software life cycle cost. A basic factor claimed to be one of the driving factors in the cost of maintenance is software volatility. The objective of this research is to investigate the relationship between certain software attributes and software volatility. In this study, software volatility refers to the frequency or number of enhancements per unit of application over a specified time normalized. However, this metric is divided by the number of source lines of code (SLOC) to obtain a measure that takes into account the size of the software application. The research model is built on previous research concerning software volatility. Three factors are examined to determine their influence on software volatility normalized for SLOC: age, software complexity, and software complexity normalized for SLOC. In addition, we introduce the notion that mean time between software enhancements moderates the relationship of age, complexity, and complexity normalized for SLOC with software volatility. A field study at a major corporation allowed for the collection of data from a 13-year-time period. These data are used to empirically test the hypotheses presented in this study. As a moderator variable, mean time between enhancements significantly contributes to the explanatory power of a prediction model for software volatility adjusted for SLOC. Software administrators may wish to use the proposed model in their decision-making plans to control for software costs. Copyright © 2003 John Wiley & Sons, Ltd. [source] The network of global corporations and elite policy groups: a structure for transnational capitalist class formation?GLOBAL NETWORKS, Issue 1 2003William K. Carroll This study situates five top transnational policy,planning groups within the larger structure of corporate power that is constituted through interlocking directorates among the world's largest companies. Each group makes a distinct contribution towards transnational capitalist hegemony both by building consensus within the global corporate elite and by educating publics and states on the virtues of one or another variant of the neo,liberal paradigm. Analysis of corporate,policy interlocks reveals that a few dozen cosmopolitans , primarily men based in Europe and North America and actively engaged in corporate management , knit the network together via participation in transnational interlocking and/or multiple policy groups. As a structure underwriting transnational business activism, the network is highly centralized, yet from its core it extends unevenly to corporations and individuals positioned on its fringes. The policy groups pull the directorates of the world's major corporations together, and collaterally integrate the lifeworld of the global corporate elite, but they do so selectively, reproducing regional differences in participation. These findings support the claim that a well,integrated global corporate elite has formed, and that global policy groups have contributed to its formation. Whether this elite confirms the arrival of a transnational capitalist class is a matter partly of semantics and partly of substance. [source] Show Us the Money: Lessons in Transparency from State Pharmaceutical Marketing Disclosure LawsHEALTH SERVICES RESEARCH, Issue 1 2010Susan Chimonas Objective. To assess legislation requiring drug companies to report gifts to providers, and to evaluate the information obtained. Data Sources. Data included legislation in Vermont, Minnesota, Maine, Massachusetts, West Virginia, and the District of Columbia, and company disclosure data from Vermont. Study Design. We evaluated the strengths and weaknesses of state legislation. We also analyzed 4 years of company disclosures from Vermont, assessing the value and distribution of industry,provider exchanges and identifying emerging trends in companies' practices. Data Collection Methods. State legislation is publically available. We obtained Vermont's data through requests to the state's Attorney General's office. Principal Findings. Of the state laws, only Vermont's yielded robust, publically available data. These data show gifting was dominated by a few major corporations, and <2 percent of Vermont's prescribers received 69 percent of gifts and payments. Companies were especially generous to specialists in psychiatry, endocrinology/diabetes/metabolism, internal medicine, and neurology. Companies increasingly used loopholes in the law to avoid public scrutiny. Conclusions. Disclosure laws are an important first step in bringing greater transparency to physician,industry relationships. But flaws and weaknesses limit the states' ability to render physician,industry exchanges fully transparent. Future efforts should build on these lessons to render physician,industry relationships fully transparent. [source] | ||||||||||