The Power of Social Network Construction and Analysis for Knowledge Discovery in the Medical Referral Process

The social network model is powerful enough to provide for the analysis and study of a variety of application domains from daily life, including health care and health informatics. After the widespread appearance of automated tools capable of deriving and analyzing social networks, social network analysis (SNA) and mining in the health care domain has recently received considerable attention for its key role in understanding how various bodies within the health care system form communities and how they are socially connected with each other. This understanding helps enhance the organizational structures and process flows, among others. In this article, we show how SNA techniques can solve issues in the medical referral system in the Canadian health care system and the like, by analyzing the social network of general practitioners (GPs) and specialists (SPs). One of the main targets is to optimize the communication between GPs and SPs with hopes of decreasing the waiting time of patients to be seen by SPs. Various SNA and mining techniques are described and analyzed, backed by reporting some experimental results.     

To liberalize or not to liberalize: Political and economic determinants of financial liberalization

Using a sample of 70 emerging market and developing countries, we examine the political and economic factors which affect the government's decision to liberalize the domestic equity markets. We document that the levels of industrialization and financial development, the quality of investor protection, and the level of the government's involvement in the economy are closely associated with the stock market liberalization decision. Furthermore, we find a positive and significant relation between the amount of foreign financial aid received by the governments in emerging market countries and the probability of stock market liberalization.     

INDIVIDUAL EQUITY RETURN DATA FROM THOMSON DATASTREAM: HANDLE WITH CARE!

We compare individual U.S. equity return data from Thomson Datastream (TDS) with similar data from the Center for Research in Security Prices (CRSP) to evaluate TDS for use in studies involving large numbers of individual equities in markets outside the United States. We document important issues of coverage, classification, and data integrity and find that naive use of TDS data can have a large impact on economic inferences. We show that after careful screening of the TDS data, inferences drawn from TDS data are similar to those drawn from CRSP. We illustrate the importance of the screens we develop using U.S. TDS data by applying the screens to TDS data from four European equity markets.     

Mobbing in Turkish health institutions

People at workplace always face with stress and feel it in their lives. There are many factors that create stress and mobbing is one of them. Mobbing is a psychological terror, conducted systematically toward an individual by others at the same workplace. Mobbing started to become a famous subject last years in U.S and Europe. In Turkey, it is a new concept not because it does not occur, because of human nature that does not allow confessing it. Mobbing is being ignored by people, organizations and also government in our country. Because mobbing methods change according to sectors and occupations, it is important to analyze each sector to understand the methods used in mobbing and the reactions of victims to these actions. The focus of this study will be workplace mobbing in Turkish health institutions. The main population of this study consists of employees of state and private hospitals in Turkey. In this paper, both qualitative and quantitative methods will be used to describe the mobbing at Turkish health institutions.     

The relationship between corporate reputation and organizational citizenship behavior: a comparative study on TV companies and banks

Corporate reputation (CR) is an increasingly emphasized issue in the management and organizational studies. Many research studies on the corporate reputation have revealed the impact of that issue on the informal performances of employees. The purpose of this study is to determine the relationship between corporate reputation and organizational citizenship behavior (OCB). The survey method has been conducted through random sampling. Four TV companies and four banks have been included in the survey. Results have been evaluated comparatively across two different sectors. The research has been composed of two parts; in the first part the corporate reputations of the chosen companies have been measured according to the Cravens et al. (2003) index. In the second part of the research the organizational citizenship behaviors of the employees in the eight companies have been measured and the relationship between corporate reputations of the companies and the employees’ OCBs have been analyzed through the correlation and regression analysis. It is revealed that there is a statistically significant effect of CR on OCB.     

The Triple Bottom Line: A Critical Review from a Transdisciplinary Perspective

The triple bottom line (TBL) has reformed management discourse by making sustainability part of the business agenda, yet increasingly the TBL has evolved into a proxy for sustainability, often visually depicted as the mutual maximization of economic, social and environmental dimensions. We use a sentiment analysis to show that the extant literature views the TBL favorably and uncritically, with only 8% of academic studies invoking the term negatively. Next, based on extant management literature, we show that two core assumptions underpin the TBL metaphor: win–win and firm‐level sustainability. Then we employ a transdisciplinary comparative analysis to contrast these assumptions with two ecological perspectives: strong sustainability and nested hierarchy. By drawing extensively from the literature of ecologically grounded sciences, our study contributes a critical evaluation of the TBL paradigm of sustainability.     

Determining reverse salient types and evolutionary dynamics of technology systems with performance disparities

Technological system evolution is marked by the uneven evolution of constituent sub-systems. Subsequently, system evolution is hampered by the resulting state of unevenness, or reverse salience, which results from the presence of the sub-system that delivers the lowest level of performance with respect to other sub-systems, namely, the reverse salient. In this paper, we develop absolute and proportional performance gap measures of reverse salience and, in turn, derive a typology of reverse salients that distinguishes alternative dynamics of change in the evolving system. We subsequently demonstrate the applicability of the measures and the typology through an illustrative empirical study of the PC (personal computer) technological system that functions as a gaming platform. Our empirical analysis demonstrates that patterns of temporal dynamics can be distinguished with the measurement of reverse salience, and that distinct paths of technological system evolution can be identified as different types of reverse salients emerge over time.     

Sarantis Archigenes (Serandi Arşizen), Pellegrino Rossi and the spread of the classical approach in the Ottoman Empire

Abstract

Although he succeeded Say at the College de France as chair in 1833, Pellegrino Rossi is not considered a great economist nor has he been appreciated as an original one. However, his lectures in the College de France inspired a young Ottoman-Greek, Sarantis Archigenes, who wrote a political economy book which discussed the economic problems of the Ottoman Empire of the mid-nineteenth century. This article provides an account of the traces of Rossi's ideas in the formation of Archigenes' views, with an aim to present Rossi's role in the dissemination of Classical political economic ideas in the Ottoman lands.     

Nonlinear mean reversion in stock prices

This paper provides new evidence on the time-series predictability of stock market returns by introducing a test of nonlinear mean reversion. The performance of extreme daily returns is evaluated in terms of their power to predict short- and long-horizon returns on various stock market indices and size portfolios. The paper shows that the speed of mean reversion is significantly higher during the large falls of the market. The parameter estimates indicate a negative and significant relation between the monthly portfolio returns and the extreme daily returns observed over the past one to eight months. Specifically, in a quarter in which the minimum daily return is −2% the expected excess return is 37 basis points higher than in a month in which the minimum return is only −1%. This result holds for the value-weighted and equal-weighted stock market indices and for each of the size decile portfolios. The findings are also robust to different sample periods, different indices, and investment horizons.