CORPORATE SOCIAL RESPONSIBILITY IN ROMANIA

The purpose of this paper is to identify the main opportunities and limitations of corporate social responsibility (CSR). The survey was defined with the aim to involve the highest possible number of relevant CSR topics and give the issue a more wholesome perspective. It provides a basis for further comprehension and deeper analyses of specific CSR areas. The conditions determining the success of CSR in Romania have been defined in the paper on the basis of the previously cumulative knowledge as well as the results of various researches. This paper provides knowledge which may be useful in the programs promoting CSR.Corporate social responsibility, Supportive policies, Romania

Accountant\u27s business manual, 2001, volume 2

https://egrove.olemiss.edu/aicpa_guides/2810/thumbnail.jp

Game Theory Relaunched

The game is on. Do you know how to play? Game theory sets out to explore what can be said about making decisions which go beyond accepting the rules of a game. Since 1942, a well elaborated mathematical apparatus has been developed to do so; but there is more. During the last three decades game theoretic reasoning has popped up in many other fields as well - from engineering to biology and psychology. New simulation tools and network analysis have made game theory omnipresent these days. This book collects recent research papers in game theory, which come from diverse scientific communities all across the world; they combine many different fields like economics, politics, history, engineering, mathematics, physics, and psychology. All of them have as a common denominator some method of game theory. Enjoy

Complexity and duplicity in the digital age : new implications for business and labor management strategy

Les sociologues différencient souvent les époques en fonction de la manière dont le commerce est pratiqué (Ashton, 2013 ; Rose, 1991). Souvent, les progrès technologiques modifient la façon dont les parties échangent des biens, un phénomène qui a des conséquences sur le changement d'époque (Wright, 2004). À cet égard, les historiens économiques distinguent généralement l'ère féodale de l'ère industrielle en raison de l'invention de la technologie de la vapeur à la fin du 17e siècle et de son application généralisée au milieu du 18e siècle (Ashton, 2013). La disponibilité du World Wide Web a créé l'ère numérique. Alors que l'ancienne époque de l'ère industrielle limite principalement l'échange de travail dans une période définie, Internet permet l'expansion des paramètres commerciaux. Alors que les universitaires considèrent que l'ère numérique a entraîné des changements substantiels dans le domaine du commerce et des échanges, la plupart des théories sur la gestion (en particulier celles concernant la planification et la stratégie) trouvent leur origine dans l'ère industrielle, c'est-à-dire l'ère précédant l'existence de l'Internet. Malgré les efforts de chercheurs tels qu'Allen et al, (2007), l'éventail complet des options de stratégie compétitive disponibles pour les entreprises modernes n'a peut-être pas été suffisamment délimité. Le présent ouvrage soutient que les technologies basées sur Internet ont influencé l'émergence d'industries distinctement numérique et que, par conséquent, la théorie concernant l'avantage concurrentiel comme celle de Michael Porter doit être réexaminée. Le but de ce travail est de fournir un aperçu conceptuel de l’émergence de la complexité à l’ère numérique et de montrer en quoi ce phénomène émergeant a des implications pour la stratégie en général, mais aussi pour les relations de travail. Le projet a produit des articles scientifiques revus par des pairs dans des revues universitaires classiques. Ces articles traitent des conséquences de la duplicité pour trois types d’acteurs : ceux qui élaborent et mettent en œuvre la stratégie commerciale; les consommateurs; et ceux qui opère dans le marché du travail.Sociologists frequently differentiate eras based on the way commerce is undertaken (Ashton, 2013; Rose, 1991). Often, technological advance changes the way parties exchange goods, a phenomenon that has consequences for epochal change (Wright, 2004). In this regard, economic historians typically differentiate the feudal era from the industrial age because of the invention of the steam technology in the late 17th century and its widespread application in the mid 18th century (Ashton, 2013). The availability of the World Wide Web created the digital era. Whereas the old industrial-age epoch mostly limits work exchange within a defined era, the Internet permits expansion of trading parameters. While scholars mostly consider that in the era of the Internet substantial changes have occurred in relation to commerce and trading, most theories about management (particular those concerning planning and strategy) have their origins in the industrial age, the era before the Internet existed. Despite the efforts of scholars such as Allen et al, (2007) the full range of competitive strategy options available to modern firms may not have been adequately delineated. The present body of work argues that Internet-based technologies have influenced the emergence of distinctively post-modern or digital age industries and that, therefore, theory regarding competitive advantage such as those of Michael Porter must be revisited. The aim of this work is to provide a conceptual overview of the emergence of complexity in the digital era and indicate how this emergent phenomenon has implications for strategy generally and the employment relationship in particular, insofar as technological complexity concerns labor control. The project has produced peer-reviewed scholarly articles in mainstream academic journals. These articles address the consequences of duplicity for three kinds of actors : those who craft and implement business strategy; consumers; and, those in (what is conventional though of as) the labor market

Developing retail performance measurement and financial distress prediction systems by using credit scoring techniques

The current research develops a theoretical framework based on the ResourceAdvantage Theory of Competition (Hunt, 2000) for the selection of appropriate variables. Using a review of the literature as well as to interviews and a survey, 170 potential retail performance variables were identified as possible for inclusion in the model. To produce a relative simple model with the aim of avoiding over-fitting, a limited number of key variables or principal components were selected to predict default. Five credit-scoring techniques: Naive Bayes, Logistic Regression, Recursive Partitioning, Artificial Neural Network, and Sequential Minimal Optimization (SMO) were employed on a sample of 195 healthy and 51 distressed businesses from the USA market over five time periods: 1994-1998, 1995-1999, 1996-2000, 1997-2001 and 1998-2002.Analyses provide sufficient evidence that the five credit scoring methodologies have sound classification ability in the year before financial distress. Moreover, they still remained sound even five years prior to financial distress. However, it is difficult to conclude which modelling technique has the highest classification ability uniformly, since model performance varied in terms of different time scales. The analysis also showed that external environment influences do impact on default assessment for all five credit-scoring techniques, but these influences are weak. These findings indicate that the developed models are theoretically sound. There is however a need to compare their performance to other approaches.To explore the issue of the model's performance two approaches are taken. First, rankings from the study were compared with those from a standard rating system—in this case the well-established Moody's Credit Rating. It is assumed that the higher the degree of similarity between the two sets of rankings, the greater the credibility of the prediction model. The results indicated that the logistic regression model and the SMO model were most comparable with Moody's. Secondly, the model's performance was assessed by applying it to different geographical areas. The original USA model was therefore applied to a new US data set as well as the European and Japanese markets. Results indicated that all market models displayed similar discriminating ability one year prior to financial distress. However, the USA model performed relatively better than European and Japanese models five years before financial distress. This implied that a financial distress model has potentially better prediction ability when based on a single market.Following this result it was decided to explore the performance of a generic global model, since model construction is time-consuming and costly. A composite model was constructed by combining data from USA, European and Japanese markets. This composite model had sound prediction performance, even up to five years before financial distress, as the accuracy rate was above 85.15% and AUROC value was above 0.7202. Comparing with the original USA model, the composite model has similar prediction performance in terms of the accuracy rate. However, the composite model presented a worse prediction utility based on the AUROC value. A future research direction might be to include more world retailing markets in order to ensure the model's prediction utility and practical applicability

AN APPROACH TOWARDS HOLISTIC ASSESSMENT OF SOCIO-ECONOMIC IMPACTS

This thesis uses the case study of the Fallas festival in the city of Valencia (Spain), to assess the value of intangible cultural heritage. Within this framework the thesis explores a number of different issues: for example how social agents frame different qualities and benefits of cultural heritage in order to describe the value and claims for funding the arts. It finds that value assessment for claiming funds presents many challenges such as: identifying the values of the heritage in question; describing them; and ranking them according to their contribution to the public welfare. It examines the methodological techniques for assessing heritage values and goes on to discuss a number of tools that are, or could be, used for assessment. The thesis also explores how public bodies legitimise cultural funding. It examines the role of non-government arts organisations in supporting the arts. It proposes the analysis of donor decisions through a multi-attribute technique where donors state their importance to donor situations under specific conditions or attributes. Finally, it describes how the stakeholder approach can be applied for searching new ways of funding festivals. It also considers how intangible cultural heritage goods can be assessed within the process of cost-benefit evaluation. It also analyses how public bodies, as the principal supporters of culture, deal with the problem of valuing intangibles on social investments. The study uses the Fallas festival to test the research hypothesis. It uses a number of economic and statistical techniques to evaluate the Fallas Festival, these include Contingent Valuation, Choice Experiment and Descriptive and Multiatribute Statistics. The statistical techniques reveal that historical benefits are intrinsically valuable in the Fallas festival. The historical value that the members of the neighbourhood associations place on the Fallas festival justify that local social agents should support this festival.Sánchez Royo, B. (2011). AN APPROACH TOWARDS HOLISTIC ASSESSMENT OF SOCIO-ECONOMIC IMPACTS [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/12269Palanci