54 research outputs found

    Business process management: Conceptual framework and application

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    Recent literature published by some practitioners, consultants, and researchers in the area of Business Process Management (BPM) identified that BPM is a new and emerging field of research and practice. The objective of this paper is to identify the conceptual framework of BPM, identify if connections exist with prior process improvement concepts such as Business Process Re-engineering (BPR), Total Quality Management (TQM) and Business Process Improvement (BPI), and apply BPM in a case study to determine the effectiveness of the current methodology. An extensive literature review was conducted, identifying multiple similarities between BPM and prior process improvement concepts, suggesting an evolving nature of the concept. The BPM methodology was then applied in a controlled case study, identifying a major inefficiency in the methodology. The findings of this paper are useful to researchers, educators, students, and managers to understand the evolution of BPM, and determine how it can be applied

    Modelo Kuumba : integração de Design Thinking ao ciclo de vida de BPM

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    A utilização de técnicas para fomentar a criatividade dentro das empresas vem ganhando espaço, tendo em vista destacar-se no mercado. Organizações que relacionam a criatividade a processos tendem a realizar produtos ou serviços mais atrativos. Deste modo, esta pesquisa visa realizar um modelo de ciclo de vida de Gestão por Processos de Negócios, inserindo práticas, métodos e ferramentas utilizadas na abordagem Design Thinking para desenvolver soluções criativas para melhorias de processos. Com abordagem de pesquisa qualitativa, realizou-se levantamento bibliográfico e construiu-se o modelo inicial chamado Modelo Kuumba – Integração de Design Thinking ao Ciclo de Vida de BPM, o qual foi apresentado a práticos e teóricos de BPM e Design Thinking, com o objetivo de aperfeiçoá-lo. Como resultado, obteve-se um modelo revisado com a inserção de etapas, métodos e ferramentas sugeridas pelos especialistas

    A Language for Designing Process Maps

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    Business Process Management (BPM) is often adopted by organizations as a method to increase awareness and knowledge of their business processes. Business process modeling is used as a method to represent business processes in form of business process models. The number of organizations adopting BPM is quickly increasing. By this means, so is the number of business process models as result of a BPM initiative. Within a single organization the number of business process models often ranges from hundreds to even thousands. In order to handle such large amount of business process models, organizations structure them by the help of a process architecture. It includes a process map, which is considered as the top-most view of the process architecture where the organization's business processes and the relations between them are visually and abstractly depicted. The details of each business process shown on the process map are stored in the lower levels of the corresponding process architecture. The purpose of a process map is to provide an overview of how an organization operates as a whole without necessarily going into the process details. Therefore, the design of a process map is vital not only for the understanding of the company's processes, but also for the subsequent detailed process modeling. This is primarily because, a process map is often the result of the process identification phase of the BPM lifecycle, and is used as a foundation for the subsequent phases, where the detailed process modeling and process improvement takes place. Despite their importance, the design of process maps is still more art than science, essentially because there is no standardized modeling language available for process map design. As a result, we are faced with a high heterogeneity of process map designs from practice, although they all serve a similar purpose. This has accordingly been our main motivation for pursuing the research presented in this thesis. The research question for this thesis is the following: How to effectively model processes on an abstract level? In this thesis, we document the development of a language for designing process maps. In particular, we provide the following contributions. First, we present a holistic reference BPM framework. It is a consolidation of procedural frameworks introduced by prominent BPM researchers. The framework includes eleven BPM elements, each holding activities organizations need to consider when adopting BPM. Second, we provide a method for assessing cognitive effectiveness of process maps used in practice. For this, we follow the nine principles for cognitively effective visual notations introduced by Moody cite{moody2012physics}. In addition, we employ the cognitive fit theory to check whether the design of process maps has an effect on the BPM success in the respective organization. Second, we conduct a systematic literature review on the quality of modeling languages and models. We use the quality requirements we found as basis for developing the language for designing process maps. Third, we define the abstract syntax, semantics, and concrete syntax of the language for process maps. We follow an explorative method, hence we rely on empirical data for the language development. Accordingly, we reuse symbols in our language which have already been used in practice as part of process maps. We follow this approach in order to ensure the language will consist of elements already familiar to organizations. We evaluate the language by means of an experiment, in which we assess the effectiveness and efficiency of process maps designed using elements from our language against process maps that have not been designed using our language. Last, this thesis provides a method for testing the suitability of existing languages for specific purposes. (author's abstract

    Designing Digital Work

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    Combining theory, methodology and tools, this open access book illustrates how to guide innovation in today’s digitized business environment. Highlighting the importance of human knowledge and experience in implementing business processes, the authors take a conceptual perspective to explore the challenges and issues currently facing organizations. Subsequent chapters put these concepts into practice, discussing instruments that can be used to support the articulation and alignment of knowledge within work processes. A timely and comprehensive set of tools and case studies, this book is essential reading for those researching innovation and digitization, organization and business strategy

    Human-Intelligence and Machine-Intelligence Decision Governance Formal Ontology

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    Since the beginning of the human race, decision making and rational thinking played a pivotal role for mankind to either exist and succeed or fail and become extinct. Self-awareness, cognitive thinking, creativity, and emotional magnitude allowed us to advance civilization and to take further steps toward achieving previously unreachable goals. From the invention of wheels to rockets and telegraph to satellite, all technological ventures went through many upgrades and updates. Recently, increasing computer CPU power and memory capacity contributed to smarter and faster computing appliances that, in turn, have accelerated the integration into and use of artificial intelligence (AI) in organizational processes and everyday life. Artificial intelligence can now be found in a wide range of organizational systems including healthcare and medical diagnosis, automated stock trading, robotic production, telecommunications, space explorations, and homeland security. Self-driving cars and drones are just the latest extensions of AI. This thrust of AI into organizations and daily life rests on the AI community’s unstated assumption of its ability to completely replicate human learning and intelligence in AI. Unfortunately, even today the AI community is not close to completely coding and emulating human intelligence into machines. Despite the revolution of digital and technology in the applications level, there has been little to no research in addressing the question of decision making governance in human-intelligent and machine-intelligent (HI-MI) systems. There also exists no foundational, core reference, or domain ontologies for HI-MI decision governance systems. Further, in absence of an expert reference base or body of knowledge (BoK) integrated with an ontological framework, decision makers must rely on best practices or standards that differ from organization to organization and government to government, contributing to systems failure in complex mission critical situations. It is still debatable whether and when human or machine decision capacity should govern or when a joint human-intelligence and machine-intelligence (HI-MI) decision capacity is required in any given decision situation. To address this deficiency, this research establishes a formal, top level foundational ontology of HI-MI decision governance in parallel with a grounded theory based body of knowledge which forms the theoretical foundation of a systemic HI-MI decision governance framework

    Tendências do BPM

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    Dissertação de mestrado integrado em Engenharia e Gestão de Sistemas de InformaçãoAtualmente, as organizações encontram-se inseridas em ambientes de mercado cada vez mais competitivos, deparando-se com várias dificuldades, em que face a estas, necessitam de encontrar soluções. Por essa razão, viram o BPM como uma solução para melhorar o seu negócio. Um dos objetivos do BPM é ter a capacidade de identificar, monitorar e otimizar processos de negócio cujo resultado final é um conjunto de atividades realizadas. Com base nesta monitorização e otimização, as organizações tornam-se capazes de identificar possíveis lacunas nos seus processos e com isto melhorá-los. Com isto, verificou-se a falta de informação existente cientificamente em relação à identificação de novas tendências para o BPM. Neste sentido, com este trabalho propomos realizar uma investigação seguindo a metodologia de pesquisa em Design Science Research, em que iniciamos uma pesquisa de levantamento de tendência seguindo a abordagem proposta por Webster e Watson (2002), com base em duas conferências internacionais em BPM de ranking elevado, em que se identificou os tópicos mais abordados como também problemas e soluções desde 2013 até 2015. Posteriormente, com informação recolhida ao longo de três anos, através da criação de um framework identificamos algumas tendências para o BPM, de forma a melhorá-lo. Para garantir a credibilidade dos resultados, através da criação de um inquérito por questionário realizou-se a avaliação dos resultados obtidos.Nowadays, the market gets more and more competitive, thus companies need to learn how to manage and find the right solutions for their business when facing challenges. For that reason, they saw BPM as a great tool to expand their business. One of the features of BPM is the capacity to identify, monetize and optimize processes within the business which ultimately allow for an aggregation of performed activities. Thanks to these features, the business have been capable of identifying possible gaps in their processes and how to improve them. With this, it was verified the lack of scientific information regarding the identification of new trends for BPM. Therefore, with this work we propose to conduct an investigation that follows the searching methodology in Design Science Research, where we initiate a search of lifting trends as proposed by Webster and Watson (2002). This is based on two international conferences on BPM, in which it identified the most discussed topics and also the problems and solutions since 2013 until 2015. After this investigation, with collected information over 3 years, through the creation of framework we identify some BPM trends. To approve this results, we created a survey that was held an evaluation of the final results

    Semantic Audio Analysis Utilities and Applications.

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    PhDExtraction, representation, organisation and application of metadata about audio recordings are in the concern of semantic audio analysis. Our broad interpretation, aligned with recent developments in the field, includes methodological aspects of semantic audio, such as those related to information management, knowledge representation and applications of the extracted information. In particular, we look at how Semantic Web technologies may be used to enhance information management practices in two audio related areas: music informatics and music production. In the first area, we are concerned with music information retrieval (MIR) and related research. We examine how structured data may be used to support reproducibility and provenance of extracted information, and aim to support multi-modality and context adaptation in the analysis. In creative music production, our goals can be summarised as follows: O↵-the-shelf sound editors do not hold appropriately structured information about the edited material, thus human-computer interaction is inefficient. We believe that recent developments in sound analysis and music understanding are capable of bringing about significant improvements in the music production workflow. Providing visual cues related to music structure can serve as an example of intelligent, context-dependent functionality. The central contributions of this work are a Semantic Web ontology for describing recording studios, including a model of technological artefacts used in music production, methodologies for collecting data about music production workflows and describing the work of audio engineers which facilitates capturing their contribution to music production, and finally a framework for creating Web-based applications for automated audio analysis. This has applications demonstrating how Semantic Web technologies and ontologies can facilitate interoperability between music research tools, and the creation of semantic audio software, for instance, for music recommendation, temperament estimation or multi-modal music tutorin

    Evaluating training programmes: A grounded theory exploration of training evaluation as experienced by managers working in the textile industry in Bangladesh and the development of a new approach for the evaluation of training within that context

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    The aim of this research was to assess the existing models for the evaluation of training and propose a context specific theory and model for adoption by the textile industry in Bangladesh. The research adopted grounded theory as the methodology. That guided the approach to literature inclusion, the in-depth interviews with a sample of 45 managerial and training provider participants and subsequent data analysis. Consequently, the research proposed a conceptual framework which led to the development of a new model for use in that particular context. The substantive theory and model developed explained how training could be evaluated effectively in a different cultural and business context from that of all existing theories and models. The research therefore made significant theoretical, managerial practice and methodological contributions to the subject. The findings identified a new approach to the evaluation of training outcomes based on two causal conditions, six contexts, one intervening condition, six processes and four consequences/outcomes. These factors offered a different approach and way to evaluate training compared to the existing models. For example, the consequences/outcomes of training evaluation reflected evaluation based on the immediate outcomes, direct outcomes, behavioural outcomes and performance outcomes of training. The outcome from this research offered a significantly improved integration of theory and practice for the effective evaluation of training within the context of the textile industry in Bangladesh. Consequently, that reflected both the managerial and theoretical contributions of the research. The proposed theory and model were unique to textile industry in Bangladesh and provided managers and training specialists with both data on the consequences of the training provided and guidelines on how approach the future design and delivery of training activities. Finally, the research identified several areas for future research into specific aspects of training, its evaluation and the means of monitoring it. The methodology adopted was also a contribution to existing knowledge about the use of the grounded theory methodology in developing economies, specifically, the textile industry within Bangladesh

    Affordances for practice in CRM : A critical realist approach

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    As digitalization sweeps through workplaces, the academics have been intrigued by the theory of sociomateriality to better explain the dynamic, emergent and entangled consequences of the technologies on contemporary organizing and work practices. Sociomateriality, connoting the ontological inseparability of the material and the social, emerged to challenge the various dichotomies in information systems research by employing an agential realist stance. Later, this line of inquiry has been utilized alongside multiple theories in organization, management and sociological studies in order to understand how matter matters in organizational life. Simultaneously, its ontological base has expanded – a critical realist approach to sociomateriality arose from the criticism on the relational view on humans and artifacts. This study has been conducted from the critical realist approach to understand how a customer relationship management (CRM) system matters to strategy. It utilizes the practice-based approach, namely strategy-as-practice and the affordance approach to explain how a new customer-oriented strategy can be enacted through the interplay between the old and new technologies as well as the customer-facing employees. The thesis takes place in a case study environment, employing qualitative methods such as observation and semi-structured interviews. The case company is an occupational healthcare provider in Finland. The study identified the following constraints that trigger organizational change and lead to new technology implementation and new practices in customer relationship management: data inconsistency, routine discrepancy and relationship erosion. The perceived affordances post-dating the constraints were knowledge diffusion, management and controlling, workflow integration as well as analysis and development. Affordances are experienced in all levels of the organization
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