Analysis of inventory management in small business auto parts

The objective of this study was to analyze the production process and supply control in order to identify possible gaps and develop a method for managing supplies. The relevance of this research is on the benefits that can obtain by identifying the problems of supply control. The research method used was the case study, which was grounded on tripod semi-structured interviews, on-site observation, and document analysis. This methodology was very suitable because it can be analyzed and cross checked. The possibility of implementation of the proposal obtained from the theoretical framework, that together with the complementary actions suggested here, offers the opportunity to make the process more productive and profitable. This work allowed one to observe the weaknesses in managing the supply chain and at what points to work should be improved. It allowed to use some scientific models in the company object of study in order to improve supply management. © 2011 IEEE.

The determinants of recent foreign bank penetration in Brazil

Includes bibliography

An assessment of global economic models for climate change

The project comprises three phases of which Phase I would be implemented over the period September to December 2008. The major objectives of Phase I are, firstly, to establish the scope and feasibility of carrying out a study on the costs/benefits of taking action on climate change adaptation and cost effectiveness of mitigation in the Caribbean compared to a “business as usual” scenario, and secondly, to support initial actions to alert policymakers and key influencing constituencies to the urgency of this challenge.

O engavetamento de modelos de ensino superior dentro da universidade pública

This paper explores the contradictions between models conflicting today in Brazilian universities. The conglomeration of isolated institutions, integrated and multifunctional university and university-enterprise, service provider. This last model attempts to integrate higher education institutions to supply chains dominated by capital. Public universities were designed to provide innovative services and train staff researchers for such activity. The training of skilled workforce would be fundamentally task of private universities. But in any case, the onus would be on this training students. This model has been driven from the 1990s, with "instruction manuals" of the World Bank, and in 2000, with the IMF recommendations and, in the case of Latin American universities, Fundación Universia, sponsored by the Santander Bank. The question remains: the university will be able to organize the productive forces which have around research goals and staff training for independent development.

AN ANALYSIS OF SMALL BUSINESS LOAN GUARANTEE FUNDS

Small businesses are considered important engines for job growth and economic development by policy makers worldwide. One of the most commonly cited constraints of small businesses is a lack of access to capital. To address this constraint, small business loan guarantee programs have been established in over 100 countries. There are a variety of types of guarantee funds, with the most significant differences being which borrowers are eligible for guarantees, and how borrowers are approved for guarantees. There is currently no clear delineation between types of programs and the economic conditions they operate in, though some trends are becoming apparent. However, these trends may not be leading to the best economic outcomes possible. By better matching the structure of the guarantee fund to the economic conditions it operates in, the program’s success in meeting economic development goals may be greatly improved. Many programs in developing countries may not be taking advantage of bank expertise and may be limiting the scope of their effectiveness. At the same time, programs in developed countries may be wasting resources by scattering their efforts too thinly and subsidizing less competitive firms to the detriment of local economic development.

Flexibility and modeling in business processes: a multi-dimensional relationship

Over the last few years, Business Process Management (BPM) has achieved increasing popularity and dissemination. An analysis of the underlying assumptions of BPM shows that it pursues two apparently contradicting goals: on the one hand it aims at formalising work practices into business process models; on the other hand, it intends to confer flexibility to the organization - i.e. to maintain its ability to respond to new and unforeseen situations. This paper analyses the relationship between formalisation and flexibility in business process modelling by means of an empirical case study of a BPM project in an aircraft maintenance company. A qualitative approach is adopted based on the Actor-Network Theory. The paper offers two major contributions: (a) it illustrates the sociotechnical complexity involved in BPM initiatives; (b) it points towards a multidimensional understanding of the relation between formalization and flexibility in BPM projects.

PERFORMANCE EVALUATION OF RESOURCE-AWARE BUSINESS PROCESSES USING STOCHASTIC AUTOMATA NETWORKS

In this work, we study the performance evaluation of resource-aware business process models. We define a new framework that allows the generation of analytical models for performance evaluation from business process models annotated with resource management information. This framework is composed of a new notation that allows the specification of resource management constraints and a method to convert a business process specification and its resource constraints into Stochastic Automata Networks (SANs). We show that the analysis of the generated SAN model provides several performance indices, such as average throughput of the system, average waiting time, average queues size, and utilization rate of resources. Using the BP2SAN tool - our implementation of the proposed framework - and a SAN solver (such as the PEPS tool) we show through a simple use-case how a business specialist with no skills in stochastic modeling can easily obtain performance indices that, in turn, can help to identify bottlenecks on the model, to perform workload characterization, to define the provisioning of resources, and to study other performance related aspects of the business process.

Organization Performance Evaluation Using System Thinking: A Study in Brazilian Chemical Organizations Models

System thinking allows companies to use subjective constructs indicators like recursiveness, cause-effect relationships and autonomy to performance evaluation. Thus, the question that motivates this paper is: Are Brazilian companies searching new performance measurement and evaluation models based on system thinking? The study investigates models looking for system thinking roots in their framework. It was both exploratory and descriptive based on a multiple four case studies strategy in chemical sector. The findings showed organizational models have some characteristics that can be related to system thinking as system control and communication. Complexity and autonomy are deficiently formalized by the companies. All data suggest, inside its context, that system thinking seems to be adequate to organizational performance evaluation but remains distant from the management proceedings.

Specification and Verification of Declarative Open Interaction Models - A Logic-based framework

The advent of distributed and heterogeneous systems has laid the foundation for the birth of new architectural paradigms, in which many separated and autonomous entities collaborate and interact to the aim of achieving complex strategic goals, impossible to be accomplished on their own. A non exhaustive list of systems targeted by such paradigms includes Business Process Management, Clinical Guidelines and Careflow Protocols, Service-Oriented and Multi-Agent Systems. It is largely recognized that engineering these systems requires novel modeling techniques. In particular, many authors are claiming that an open, declarative perspective is needed to complement the closed, procedural nature of the state of the art specification languages. For example, the ConDec language has been recently proposed to target the declarative and open specification of Business Processes, overcoming the over-specification and over-constraining issues of classical procedural approaches. On the one hand, the success of such novel modeling languages strongly depends on their usability by non-IT savvy: they must provide an appealing, intuitive graphical front-end. On the other hand, they must be prone to verification, in order to guarantee the trustworthiness and reliability of the developed model, as well as to ensure that the actual executions of the system effectively comply with it. In this dissertation, we claim that Computational Logic is a suitable framework for dealing with the specification, verification, execution, monitoring and analysis of these systems. We propose to adopt an extended version of the ConDec language for specifying interaction models with a declarative, open flavor. We show how all the (extended) ConDec constructs can be automatically translated to the CLIMB Computational Logic-based language, and illustrate how its corresponding reasoning techniques can be successfully exploited to provide support and verification capabilities along the whole life cycle of the targeted systems.

Applicability of Process Mining Techniques in Business Environments

This thesis analyses problems related to the applicability, in business environments, of Process Mining tools and techniques. The first contribution is a presentation of the state of the art of Process Mining and a characterization of companies, in terms of their "process awareness". The work continues identifying circumstance where problems can emerge: data preparation; actual mining; and results interpretation. Other problems are the configuration of parameters by not-expert users and computational complexity. We concentrate on two possible scenarios: "batch" and "on-line" Process Mining. Concerning the batch Process Mining, we first investigated the data preparation problem and we proposed a solution for the identification of the "case-ids" whenever this field is not explicitly indicated. After that, we concentrated on problems at mining time and we propose the generalization of a well-known control-flow discovery algorithm in order to exploit non instantaneous events. The usage of interval-based recording leads to an important improvement of performance. Later on, we report our work on the parameters configuration for not-expert users. We present two approaches to select the "best" parameters configuration: one is completely autonomous; the other requires human interaction to navigate a hierarchy of candidate models. Concerning the data interpretation and results evaluation, we propose two metrics: a model-to-model and a model-to-log. Finally, we present an automatic approach for the extension of a control-flow model with social information, in order to simplify the analysis of these perspectives. The second part of this thesis deals with control-flow discovery algorithms in on-line settings. We propose a formal definition of the problem, and two baseline approaches. The actual mining algorithms proposed are two: the first is the adaptation, to the control-flow discovery problem, of a frequency counting algorithm; the second constitutes a framework of models which can be used for different kinds of streams (stationary versus evolving).

Understanding the Combined Role of Internal and External Factors in New Service Development Process within the Professional Knowledge Intensive Business Service Firms

Our research asked the following main questions: how the characteristics of professionals service firms allow them to successfully innovate in exploiting through exploring by combining internal and external factors of innovation and how these ambidextrous organisations perceive these factors; and how do successful innovators in professional service firms use corporate entrepreneurship models in their new service development processes? With a goal to shed light on innovation in professional knowledge intensive business service firms’ (PKIBS), we concluded a qualitative analysis of ten globally acting law firms, providing business legal services. We analyse the internal and factors of innovation that are critical for PKIBS’ innovation. We suggest how these firms become ambidextrous in changing environment. Our findings show that this kind of firms has particular type of ambidexterity due to their specific characteristics. As PKIBS are very dependant on its human capital, governance structure, and the high expectations of their clients, their ambidexterity is structural, but also contextual at the same time. In addition, we suggest 3 types of corporate entrepreneurship models that international PKIBS use to enhance innovation in turbulent environments. We looked at how law firms going through turbulent environments were using corporate entrepreneurship activities as a part of their strategies to be more innovative. Using visual mapping methodology, we developed three types of innovation patterns in the law firms. We suggest that corporate entrepreneurship models depend on successful application of mainly three elements: who participates in corporate entrepreneurship initiatives; what are the formal processes that enhances these initiatives; and what are the policies applied to this type of behaviour.

Identifizierung und Charakterisierung von Zielantigenen alloreaktiver zytotoxischer T-Zellen mittels cDNA-Bank-Expressionsklonierung in akuten myeloischen Leukämien

Allogene hämatopoetische Stammzelltransplantationen (HSZTs) werden insbesondere zur Behandlung von Patienten mit Hochrisiko-Leukämien durchgeführt. Dabei bewirken T-Zellreaktionen gegen Minorhistokompatibilitätsantigene (mHAgs) sowohl den therapeutisch erwünschten graft-versus-leukemia (GvL)-Effekt als auch die schädigende graft-versus-host (GvH)-Erkrankung. Für die Identifizierung neuer mHAgs mittels des T-Zell-basierten cDNA-Expressionsscreenings waren leukämiereaktive T-Zellpopulationen durch Stimulation naïver CD8+-T-Lymphozyten gesunder HLA-Klasse I-identischer Buffy Coat-Spender mit Leukämiezellen von Patienten mit akuter myeloischer Leukämie (AML) generiert worden (Albrecht et al., Cancer Immunol. Immunother. 60:235, 2011). Im Rahmen der vorliegenden Arbeit wurde mit diesen im AML-Modell des Patienten MZ529 das mHAg CYBA-72Y identifiziert. Es resultiert aus einem bekannten Einzelnukleotidpolymorphismus (rs4673: CYBA-242T/C) des Gens CYBA (kodierend für Cytochrom b-245 α-Polypeptid; syn.: p22phox), der zu einem Austausch von Tyrosin (Y) zu Histidin (H) an Aminosäureposition 72 führt. Das mHAg wurde von T-Lymphozyten sowohl in Assoziation mit HLA-B*15:01 als auch mit HLA-B*15:07 erkannt. Eine allogene T-Zellantwort gegen CYBA-72Y wurde in einem weiteren AML-Modell (MZ987) beobachtet, die ebenso wie in dem AML-Modell MZ529 polyklonal war. Insgesamt konnte bei drei von fünf getesteten HLA-B*15:01-positiven Buffy Coat-Spendern, die homozygot für CYBA-72H (H/H) waren, eine CYBA-72Y-spezifische T-Zellantwort generiert werden. Das von den T-Lymphozyten übereinstimmend in niedrigster Konzentration erkannte Peptid umfasste die Aminosäuren 69 - 77, wobei das homologe Peptid aus CYBA-72H auch in hohen Konzentrationen keine Reaktivität auslöste. Eine reziproke Immunogenität des mHAg ist bislang nicht belegt. T-Lymphozyten gegen CYBA-72Y erkannten Leukämiezellen bei acht von zwölf HLA-B*15:01-positiven Patienten (FAB-Subtypen: M1, M2, M4, M5). Da das Gen CYBA für eine Komponente des mikrobiziden Oxidasesystems von phagozytierenden Zellen kodiert, ist es überwiegend in Zellen des hämatopoetischen Systems exprimiert. Von Leukozytensubtypen, aufgereinigt aus HLA-B*15:01-positiven Buffy Coat-Spendern mit CYBA-242T-Allel, wurden Monozyten und daraus abgeleitete dendritische Zellen durch CYBA-72Y-reaktive T-Lymphozyten sehr stark, untransformierte B-Zellen in weit geringerem Maße und Granulozyten sowie T-Lymphozyten nicht erkannt. Das für CYBA-72Y kodierende Allel CYBA-242T wurde bei 56% aller getesteten gesunden Spender und Malignompatienten (n=481) nachgewiesen. Unter Berücksichtigung der Häufigkeit des präsentierenden HLA-Allels ist davon auszugehen, dass etwa 4,5% der Kaukasier das mHAg CYBA-72Y zusammen mit HLA-B*15:01 tragen. Nach bisherigen Beobachtungen führt ein immunogener CYBA-72Y-Mismatch bei allogenen HSZTs nicht notwendigerweise zu einer schweren GvH-Erkrankung. Das hier beschriebene mHAg CYBA-72Y erscheint potenziell geeignet, im Rahmen einer allogenen HSZT die präferenzielle Elimination der Empfänger-Hämatopoese unter Einschluss von myeloischen Leukämiezellen zu bewirken. Jedoch sind weiterführende Untersuchungen erforderlich, um die therapeutische Relevanz des Antigens zu belegen.

Aging and Mental Health: Business as Usual?

Cautions that in developing training models in mental health and aging, psychologists must not overlook what experience has taught them about mental health intervention or what they know already about older adults. It is suggested that a life-span developmental view complements a community and preventive approach to the mental health needs of the elderly. Creation of a separate subspecialty of clinical geropsychology will not effectively serve older adults. What is needed is a synthesis ofalready existing expertise in areas such as life-span development, clinical psychology, and community psychology. This synthesis provides a conceptual foundation and set of intervention approaches on which to base training programs in mental health and aging.

Incorporating Latent Variables into Discrete Choice Models - A Simultaneous Estimation Approach Using SEM Software

Integrated choice and latent variable (ICLV) models represent a promising new class of models which merge classic choice models with the structural equation approach (SEM) for latent variables. Despite their conceptual appeal, applications of ICLV models in marketing remain rare. We extend previous ICLV applications by first estimating a multinomial choice model and, second, by estimating hierarchical relations between latent variables. An empirical study on travel mode choice clearly demonstrates the value of ICLV models to enhance the understanding of choice processes. In addition to the usually studied directly observable variables such as travel time, we show how abstract motivations such as power and hedonism as well as attitudes such as a desire for flexibility impact on travel mode choice. Furthermore, we show that it is possible to estimate such a complex ICLV model with the widely available structural equation modeling package Mplus. This finding is likely to encourage more widespread application of this appealing model class in the marketing field.

Generalizability and Applicability of Model-Based Business Process Compliance-Checking Approaches – A State-of-the-Art Analysis and Research Roadmap

With a steady increase of regulatory requirements for business processes, automation support of compliance management is a field garnering increasing attention in Information Systems research. Several approaches have been developed to support compliance checking of process models. One major challenge for such approaches is their ability to handle different modeling techniques and compliance rules in order to enable widespread adoption and application. Applying a structured literature search strategy, we reflect and discuss compliance-checking approaches in order to provide an insight into their generalizability and evaluation. The results imply that current approaches mainly focus on special modeling techniques and/or a restricted set of types of compliance rules. Most approaches abstain from real-world evaluation which raises the question of their practical applicability. Referring to the search results, we propose a roadmap for further research in model-based business process compliance checking.