Using agent based simulation to empirically examine complexity in carbon footprint business process

Through the critical analysis of the extant literature, it is observed that Simulation is widely used as a research method in Natural Sciences, Engineering and Social Sciences, in addition to argumentation and formalisation as the third way of carrying out research. Simulation is not so widely used in Business and Management research as it ought to have been, though this is changing for the better with the technological advances in computers and their computational power. These technological advances enhance the capability of theoretical research models, in defining a problem and their use in empirically examining a solution to the problem in simulated reality, like never before. Management journal searches for “Simulation and Complexity Theory” returned nil or zero returns, which explain that this combination is not popular in management research, though they are used individually more often. The major objective of this paper is to analyse some of the conceptual (or theoretical) and methodological (or empirical) contributions that Agent Based Simulation and Complexity Theory can make to the business and management community in their business process related research In view of this, some basic ideas are discussed of using Agent Based Simulation as a method in Business and Management Studies research and how an Agent Based Model can be applied to a business process as complex as Carbon Footprint. It is in this context that the use of Complexity as the base theory to empirically examine a business process is discussed. Throughout this article, our research on complex adaptive systems (e.g., Accounting Information System) in continuously changing organisations managing complex business processes (e.g., Carbon Footprint business process) is considered as the basis for illustrating some of the concepts. Through this article, avenues for further management research using these tools and methodology are suggested

Virtual Reality Games for Motor Rehabilitation

This paper presents a fuzzy logic based method to track user satisfaction without the need for devices to monitor users physiological conditions. User satisfaction is the key to any product’s acceptance; computer applications and video games provide a unique opportunity to provide a tailored environment for each user to better suit their needs. We have implemented a non-adaptive fuzzy logic model of emotion, based on the emotional component of the Fuzzy Logic Adaptive Model of Emotion (FLAME) proposed by El-Nasr, to estimate player emotion in UnrealTournament 2004. In this paper we describe the implementation of this system and present the results of one of several play tests. Our research contradicts the current literature that suggests physiological measurements are needed. We show that it is possible to use a software only method to estimate user emotion

Extension and Application of Event-driven Process Chain for Information System Security Risk Management

Turvatehnika konstrueerimine on üks suuremaid murekohti süsteemi arenduses ja sellele tuleks tähelepanu pöörata kogu arendusprotsessi jooksul. Turvaliseks modelleerimiseks on mitmeid erinevaid keeli, mis aitavad hallata turvariske juba nõuete staadiumis. Käesolevas töös keskendutakse esmalt Event-driven Process Chain (EPC)-le, mida kasutatakse äriprotsesside modelleerimisel. Täpsemalt öeldes uuritakse, kuidas antud keel toetab infosüsteemi turberiskihaldust (ISSRM). Uurimuse eesmärk on välja selgitada EPC jaoks vajalikud turbenõuded. Nende tulemusena saame vastavustabeli EPC konstruktsioonide ja ISSRM domeeni mudeli kontseptide vahel. Järgnevalt laiendame EPC keelt ja selle konstruktsioone EPC ja ISSRM vastavustabeli seostega. Tekkinud laiendatud keelt kutsume “Security-Oriented EPC”. Laiendatud modelleerimiskeel sisaldab uut konstruktsioonide kogumikku, mis viitab ISSRM kontseptidele. Olles selgitanud turvanõuete olulisust varajases arendusstaadiumis, esitleme töötluse suunised, et viia ellu tõlked Security-Oriented EPC ja Mal-Activity Diagrams (MAD) vahel. Meie ettepanek põhineb EPC keele süstemaatiliste ja maandatud laiendustel ja selle vastastikusest sõltuvusest ISSRM domeeni mudelisse. Vastavuses olevad tulemused aitavad ärianalüütikutel mõista, kuidas modelleerida turvariske süsteemi nõuete ja disainimise staadiumites. Lisaks annavad töötluse tulemused võimaluse koostööks erinevate modelleerimiskeelte vahel, mida analüüsitakse kasutades sama kontseptuaalset raamistikku.Security engineering is one of the important concerns during the system development and it should be addressed throughout the whole system development process. Besides, there are several languages for security modeling that help dealing with security risk management at the requirements stage. In this thesis, first of all, we are focusing on Event-driven Process Chain (EPC), which is used during the business process modeling. More specifically, we investigate how this language supports information system security risk management (ISSRM). The purpose of this investigation is the problem of security requirements need of EPC. As a result, we obtain an alignment table between EPC constructs and ISSRM domain model concepts. Next, we extend the EPC language and its constructs with respect to the alignment table between EPC and ISSRM. As a consequence, we call the extended language as “Security-Oriented EPC”. The extended language contains new set of constructs which refer to ISSRM concepts. Lastly, after clarifying the importance of security requirements at the early system development, we present transformation guidelines to perform forward model translations from Security-Oriented EPC to Mal-Activity Diagrams (MAD). During the transformation, our proposal is based on the systematic and grounded extensions of EPC language and its interdependency to the domain model of ISSRM. Alignment results may help business analysts understand how to model security risks at the system requirement and design stages. Also, transformation results pave the way for interoperability between the modeling languages that are analysed using the same conceptual framework