Camelia Delcea

Complete analysis of bankruptcy syndrome using grey systems theory

Purpose – The purpose of this paper is to realise a complete analysis at the company level using grey systems theory for shaping the relations among variables.Design/methodology/approach – Starting from the symptoms that can be identified and moving forward to causes that determine a specific stage in a companys development and long‐term survival, all the aspects that can appear and affect a companys performance and bankruptcy are taken into account. Also, due to the fact that all the activities that took place in a company are running in an uncertain and a continually changing environment, grey systems theory was chosen to better shape the relations among the implied variables. Even when referring to a companys diagnosis or to its prediction, the involved aspects are presented and depicted. A numeric example is also computed in the last part of the paper.Findings – The results are convincing: not only that the diagnosis of the company can show the main elements, factors that are affecting a companys ...

Intelligent agents and risk based model for supply chain management

Abstract This paper presents a software agent based frameworks architecture for boosting performance in supply chain management applications. The framework is based on agent interaction and semantic web service composition. The purpose of such a platform is to develop flexible business applications for SCM transactions modeling, in collaborative and distributed economic systems. The interaction between agents is limited by a cybernetic model that takes into account several constraints one of the main being bankruptcy risk potential of the peer partner company.

Twitter Ontology-Driven Sentiment Analysis

As the usage of micro-blogging services has rapidly increased in the last few years, services such as Twitter have become a rich source of opinion information, highly useful for better understanding peoples’ feelings and emotions. Making sense of this huge amount of data, would provide invaluable benefits to companies, organizations and governments alike, by better understanding what the public thinks about their services and products. However, almost all existing approaches used for social networks sentiment analysis are only able to determine whether the message has a positive, negative or neutral connotation, without any information regarding the actual emotions. Besides, critical information is lost, as the determined perception is only associated with the entire tweet and not with the distinct notions present in the message. For this reason, the present paper proposes a novel semantic social media analysis approach, TweetOntoSense, which uses ontologies to model complex feeling such as happiness, affection, surprise, anger or sadness. By storing the results as structured data, the possibilities offered by the semantic web technologies can be fully exploited.

Grey relational analysis between firm's current situation and its possible causes: A bankruptcy syndrome approach

Purpose – By making an analogy with the human body, the purpose of this paper is to underline the relations between a firms failure causes and its current situation, in terms of the syndrome that can be identified at its level.Design/methodology/approach – For this reason, some elements taken from medicine, such as symptoms, causes and syndromes are presented and characterized from the point of view of the firm.Findings – It is shown that knowing the type of syndrome and the relation between it and the causes that determined its occurrence, a firms situation can be improved and its life can be lengthened. The study was conducted on 19 firms and the results are conclusive.Practical implications – By knowing the main causes that determine a certain type of bankruptcy syndrome, the firms management can properly intervene to establish a new order and a new equilibrium, which can “save” the firm from an imminent collapse, bringing it to a normality situation and even leading it, in future, to increased perf...

Understanding Online Social Networks’ Users – A Twitter Approach

Twitter messages, also known as tweets, are increasingly used by marketers worldwide to determine consumer sentiments towards brands, products or events. Currently, most existing approaches used for social networks sentiment analysis only extract simple feedbacks in terms of positive and negative perception. In this paper, TweetOntoSense is proposed - a semantic based approach that uses ontologies in order to infer the actual user’s emotions. The extracted sentiments are described using a WordNet enriched emotional categories ontology. Thus, feelings such as happiness, affection, surprise, anger, sadness, etc. are put forth. Moreover, compared to existing approaches, TweetOntoSense also takes into consideration the fact that a single tweet message might express several, rather than a single emotion. A case study on Twitter is performed, also showing this approach’s practical applicability.

Genetic - fuzzy - grey algorithms: A hybrid model for establishing companies' failure reasons

This paper attempts to put forward a hybrid model which combines the advantages offered by grey systems theory, fuzzy theory and genetic algorithm, and tries to identify the causes that are influencing financial failure of a company. For this purpose, a knowledge matrix will be computed. Further, this matrix can be composed with a one-dimensional symptoms matrix for a certain company and so the causes that generate the anomalies can be identified. Knowing the causes, and managing them properly, we can improve companys financial situation and also lengthened its life on the market.

Companies' quality characteristics vs their performance

Purpose – This paper attempts to identify the strength of the relation between the quality characteristics of companies that are activating in an economy and their performance.Design/methodology/approach – In the quality characteristics sphere were included almost all the elements related to companys behaviour on a market, in an uncertain environment and in the relations developed with stockholders. And what theory can better shape this relation than grey systems theory, a theory of uncertainty and of continual changes? At first, all of these qualitative characteristics that are reflecting companys activity have been divided into six categories for a better reality reflection. A performance indicator was also depicted by taking into consideration each companys managerial objectives.Findings – By applying grey relational analysis (GRA) in a case of eight Romanian firms, the results were convincing: not only that these characteristics determine firms evolution, but, by knowing them and acting properly o...

Grey Social Networks

Facebook is one of the largest socializing networks nowadays, gathering among his users a whole array of persons from all over the world, with a diversified background, culture, opinions, age and so on. Here is the meeting point for friends (both real and virtual), acquaintances, colleagues, team-mates, class-mates, co-workers, etc. Also, here is the land where the information is spreading so fast and where you can easily exchange your opinions, feelings, traveling informations, ideas, etc. But what happens when one is reading the news feed or is seeing his Facebook friends’ photos? Is he thrilled, excited? Is he feeling that the life is good? Or contrary: he is feeling lonely, isolated? Is he doing a comparison with his friends? These are some of the questions this paper in trying to answer and shaping some of these relationships, the grey system theory will be used.

The diagnosis of firm's “Diseases” using the grey systems theory methods

The core of our proposal is the determination of a “matrix of symptoms”, based on grey systems theory. The symptoms of a firm can be represented by economic-financial ratios, usually used by analysts to make predictions and suggestions. The ability to create such a matrix of symptoms implies that given level of symptoms intensity, we can determinate if the analyzed firm presents some “diseases”. By diseases we understand the causes which generate anomalies at the firm. With the utilization of such a matrix, the activity of the analyst can be really improved.

A Healthcare Companies’ Performance View through OSN

In the new economic context, the on-line social networks (OSN) are gathering among their users a whole array of persons, with a diversified background, culture, opinions and needs. Here is the meeting point for persons looking for information on different domains and areas of interest and also here is the exchange land for thoughts, experiences, news, etc. As the companies have sensed the global phenomenon of the OSN, they have paid more attention to the on-line social environment, investing more in the social media campaigns. But what about the companies in the healthcare system? Are their customers seeking for information in OSN? And if so, to what extent the information provided here is useful? Namely, is the OSN affecting their performance?