In order to make good decisions about the design of information systems, an essential skill is to understand process models of the business domain the system is intended to support. Yet, little knowledge to date has been established about the factors that affect how model users comprehend the content of process models. In this study, we use theories of semiotics and cognitive load to theorize how model and personal factors influence how model viewers comprehend the syntactical information of process models. We then report on a four-part series of experiments, in which we examined these factors. Our results show that additional semantical information impedes syntax comprehension, and that theoretical knowledge eases syntax comprehension. Modeling experience further contributes positively to comprehension efficiency, measured as the ratio of correct answers to the time taken to provide answers. We discuss implications for practice and research.

Most organizations have traditionally been organized by function, and most coordination is intrafunctional rather than interfunctional. However, many organizations are finding that they must also manage processes - such as order fulfillment, new product development, and interorganizational supply chain management - that span their separate functional units and that integrate their activities with those of other organizations. These processes are essential to the well-being of organizations in a dynamic competitive environment.In response to this, organizations are deploying large-scale enterprise information systems in order to support operational, tactical, and strategic decision making, along with information management. However, deployment of such information systems has not realized the requisite benefits due to issues such as lack of interoperability among applications due to technological evolution, constant changes to the business processes, evolving organizational structures, inherent complexity in management of distributed knowledge and resources.To ameliorate such issues, a recent technological trend is the adoption of support tools such as Workflow Management Systems (WFMS) and groupware to support coordination between individual and group knowledge worker activities respectively. While WFMSs mostly deal with tasks involving very structured information, groupware tools deal with tasks involving unstructured information. Due to these differences, such tools are used in a fragmented manner, causing information loss. The overall guiding design principles that can be used by such process support systems are minimal, resulting in costly overheads for organizations.This dissertation deals with the problems highlighted above from a organizational process design standpoint. The goal of the dissertation is to provide process designers with guidelines and tools that can assist them in modeling flexible and adaptable processes. The following two research questions are central to the work described in this dissertation: (1) How can organizational processes be designed to be flexible andadaptable in dynamic environments? (2) How can collaborative activities be designed to facilitate integration with individual activities in organizational processes?In this regard, this dissertation reports on the development of a conceptual framework to support design of organizational processes considering both individual and collaboration tasks in a unified manner. A business process is modeled as a problem solving mechanism consisting of a series of steps (also termed as process model, process definition or plan), each of which may be an individual or group activity. The task of designing business processes is considered as the development of an effective plan to solve a business process problem by searching the design space. We employ declarative formalisms from recent advances in Artificial Intelligence (AI) planning to support the task of process design. Similarly, we build on research in the field of Collaboration Engineering (CE), to propose an approach for collaborative task design. The feasibility and benefits of the approach are evaluated by prototyping intelligent build time tools for process design, and utilizing the same in the design of processes such as loan processing, and new drug discovery.

Business process models are an important means to design, analyze, implement, and control business processes. As with every type of conceptual model, a business process model has to meet certain syntactic, semantic, and pragmatic quality requirements to be of value. For many years, such quality aspects were investigated by centering on the properties of the model artifact itself. Only recently, the process of model creation is considered as a factor that influences the resulting model's quality. Our work contributes to this stream of research and presents an explorative analysis of the process of process modeling (PPM). We report on two large-scale modeling sessions involving 115 students. In these sessions, the act of model creation, i.e., the PPM, was automatically recorded. We conducted a cluster analysis on this data and identified three distinct styles of modeling. Further, we investigated how both task- and modeler-specific factors influence particular aspects of those modeling styles. Based thereupon, we propose a model that captures our insights. It lays the foundations for future research that may unveil how high-quality process models can be established through better modeling support and modeling instruction. (authors' abstract)

Made available in DSpace on 2016-04-29T14:22:50Z (GMT). No. of bitstreams: 1 Daniele Chrusciak Szilagyi.pdf: 1135705 bytes, checksum: ef6303fbcf216566010623d9c6dc52fc (MD5) Previous issue date: 2010-10-29 / Considering that all organizations have a purpose, which involves services performing or products generation its necessary understanding and establishing the activities set needed to accomplish this goal. This activity set is known as process. The process modeling appear as an opportunity to improve these processes before being automatized, proportionating the analysis and the redesign of them, identifying and correcting their fails, redundancies and bottlenecks. This work presents the importance of the business process modeling technique in order to aid the correct understanding of the customer business process. It will be presented the benefits and advantages of business process modeling notation BPMN, in comparison with the business modeling from UML / Levando em consideração que toda organização possui um propósito, o qual envolve a prestação de serviços ou produção de mercadorias é necessário entender e estabelecer o conjunto de atividades necessárias para cumprir esta meta. Este conjunto de atividades é chamado de processo. A modelagem de processos mostra-se como oportunidade para melhorar tais processos antes de informatizá-los, proporcionando a análise e o redesenho dos mesmos, identificando e corrigindo suas falhas, redundâncias e gargalos. Este trabalho apresenta a importância da técnica de Modelagem de Processos de Negócio para auxiliar o correto entendimento dos processos de negócio do cliente. Serão apresentados os benefícios e vantagens da notação de modelagem de processos de negócio BPMN, em comparação com a notação de Modelagem de Negócio da UML

Introduction: with the expanded application of ERP system, business process model-ing, as an essential part of the ERP system implementation, has already attracted in-creasingly attention from the organizations. However, even though with the great signif-icance, there is no specific guideline to indicate the key factors of a business process modeling within the ERP system implementation context, especially from the supplier, customer and consultancy point of view. Accordingly, the authors are interested in the following two research questions:1. What are the factors that ERP customer. Supplier and consultancy focused on when they do business process modeling for an ERP implementation?2. How these factors are ranked and viewed by ERP customers, suppliers and con-sultants?Purpose: This study is an exploratory study aiming at identifying improvement factors for business process modeling within the context of ERP system implementation. addi-tionally, the authors seek to identify the diverse attitudes from the parties involved in the process of ERP implantation, that are supplier, customer and consultancy, towards the significance level of the improvement factors.Method: This research has adopted an inductive approach due to the nature of its re-search questions. Besides, data has been collected through six interviews in in total. And each supplier, consultancy, customer party has been conducted two interviews respec-tively. The six interview companies are with different cultural background. Additionally, secondary data from books, magazines are obtained through documentation as well.Conclusion: The thesis main results show that there are five improvement factors con-cerning the business process modeling within ERP system implementation, involving correctness, clarity, resource efficiency, cultural specification and relevance. Based upon the suppliers, consultancies and customers points of view, correctness, clarity and cul-tural specification can be categorized into basic factors and resource efficiency, rele-vance are grouped as optional factors. Furthermore, from the customers perspective, correctness and clarity ranks at the top two places among those five factors, while con-sultants focus on correctness and resource efficiency first. Besides, suppliers regard cor-rectness as the most fundamental improvement factors for business process modeling.

¡@Business process doesn¡¦t change with technology or business objectives following with the change of environment outside enterprises. Hence, enterprises require business process improvement or BPR to improve the existing business processes. When enterprises demand business process improvement or BPR, they can¡¦t analyze and improve business process without business process modeling. Choosing an adequate tool form numerous business process modeling and analysis tools is an important work. Therefore, author chooses 4 mature tools, ARIS, IDEF, UML and INCOME to discuss. ¡@In my thesis, author enumerate the advantages and comment of each tool at first, then using a material requiring and purchasing to stock process as an example to prove the advantages. Then, Based on the 4 perspectives concluded by Curtis and Kellner, et al. to develop further factors under each perspective. Concluding the evaluating criteria under each factor to evaluate business process modeling tools. And to present each tools about business process modeling.

In an increasingly changing environment, different organizations are trying to improve their agility and efficiency by improving their business processes; thus, business process management has been gaining momentum for the last decade. The first step in business process management is the modeling of business processes. Business Process Modeling (BPM), in itself, is very important because it captures business requirements, allows for better understanding of a business and its processes, facilitates communication between business analysts and IT people, and pinpoints deficiencies in processes. It also serves as a basis for automation of these processes. But business process modeling comes with its own challenges since it is a time-consuming, complicated, and error-prone task. As a result, producing a high quality, precise business process model is not easy. BPM patterns, which are general reusable solutions to commonly occurring problems in business process modeling, have been proposed to address these challenges. In this research, we conducted an exploratory study about requirements engineering practices in a large organization. This study identified key challenges in requirements engineering and showed how business process modeling is currently being conducted. Then, we created a survey of the different BPM pattern catalogs existing in the literature. Finally, we presented one of the BPM pattern catalogs in a clear format along with examples of each pattern. The ultimate objective is to allow business analysts to effectively use BPM patterns while creating precise BP models.

Process models support the transition from business requirements to IT implementations. An organization that adopts process modeling often maintain several co-existing models of the same business process. These models target different abstraction levels and stakeholder perspectives. Maintaining consistency among these models has become a major challenge for such an organization. For instance, propagating changes requires identifying tacit correspondences among the models, which may be only in the memories of their original creators or may be lost entirely. Although different tools target specific needs of different roles, we lack appropriate support for checking whether related models maintained by different groups of specialists are still consistent after independent editing. As a result, typical consistency management tasks such as tracing, differencing, comparing, refactoring, merging, conformance checking, change notification, and versioning are frequently done manually, which is time-consuming and error-prone. This thesis presents the Shared Model, a framework designed to improve support for consistency management and impact analysis in process modeling. The framework is designed as a result of a comprehensive industrial study that elicited typical correspondence patterns between Business and IT process models and the meaning of consistency between them. The framework encompasses three major techniques and contributions: 1) matching heuristics to automatically discover complex correspondences patterns among the models, and to maintain traceability among model parts---elements and fragments; 2) a generator of edit operations to compute the difference between process models; 3) a process model synchronizer, capable of consistently propagating changes made to any model to its counterpart. We evaluated the Shared Model experimentally. The evaluation shows that the framework can consistently synchronize Business and IT views related by correspondence patterns, after non-simultaneous independent editing.

In this thesis, eliciting system functional requirements based on business requirements during software intensive systems acquisition or development process is investigated and an approach is proposed for this purpose. Concepts and current problems within the framework of business requirements are investigated with a general literature review of requirements engineering and technology acquisition. Determination of requirements of IT system to be acquired according to the business objectives and base lining business processes is dealt with business process modeling. ARIS providing integrated and complete information system architecture along with modeling techniques and modeling tool is also investigated. Proposed approach recommends EEPC as process modeling technique and ARIS software as supporting toolset, and explains how to conduct application of automatic requirements eliciting from business process models, by extending a reporting script provided by ARIS software. Proposed approach was partially applied to the real project and the obtained results were presented in this thesis.

Large corporations increasingly utilize business process models for documenting and redesigning their operations. The extent of such modeling initiatives with several hundred models and dozens of often hardly trained modelers calls for automated quality assurance. While formal properties of control flow can easily be checked by existing tools, there is a notable gap for checking the quality of the textual content of models, in particular, its activity labels. In this paper, we address the problem of activity label quality in business process models. We designed a technique for the recognition of labeling styles, and the automatic refactoring of labels with quality issues. More specifically, we developed a parsing algorithm that is able to deal with the shortness of activity labels, which integrates natural language tools like WordNet and the Stanford Parser. Using three business process model collections from practice with differing labeling style distributions, we demonstrate the applicability of our technique. In comparison to a straightforward application of standard natural language tools, our technique provides much more stable results. As an outcome, the technique shifts the boundary of process model quality issues that can be checked automatically from syntactic to semantic aspects.