462,290 research outputs found
Data model evolution as a basis of business process management
In this article we propose an approach to business process
management which meets the demands of business process evolution. This approach allows for on-the-fy modifications of business processes.
In contrast to many other approaches, we do not only concentrate onactivities to be carried out in business processes, but also on the datacreated and manipulated by these activities We propose to apply datamodel analysis and improvement strategies well-known from the information system field in the context of business process management
THE RELATIONSHIP BETWEEN CHANGES IN BUSINESS STRUCTURE AND TOURISM GROWTH AND DEVELOPMENT IN CHARLESTON, SOUTH CAROLINA, 1899-1999
The dissertation investigates how a medium-sized U.S. city (Charleston, SC) transformed itself from an old depressed port, with a predominance of manufacturing industries, to one that is a popular international tourist destination. The research seeks to answer the following questions: * What urban processes have been most influential in shaping the tourism product? * Can Butler\u27s Tourism Area Life Cycle (TALC) model be used as a basis for measuring tourism growth in the Tourism Business District of a U.S. city? * Is the change in a city\u27s business structure related to the growth of the tourism industry? * What measures have to be taken by the public and private sectors to develop and maintain the tourist product in the Tourism Business District? * What other factors are important to the growth and success of a destination? The TALC model is examined by looking at the changes in business structure over a hundred year period from 1899-1999. \u27Snapshots\u27 are taken every twenty years using business data taken from city street directories. For tourism businesses (accommodations, restaurants, antique stores and gift shops), the snapshots are taken every five years to obtain a more accurate picture of growth and change. The analysis also includes graphs of tourist visitation rates and expenditures and maps of the central area of Charleston. An historical analysis helps to explain why some of the changes in Charleston\u27s business took place and how tourism became the leading industry in the area. Topics such as events, advertising, beautification, facility development and tourism management give a picture of the tourism development process in the community. The study concludes that while the city may go through cycles of business growth, change and decline, tourism is not always affected by those cycles. Exogenous factors like recessions, gas shortages and price rises, have far more impact on tourism. Butler\u27s model is suitable for a description of tourism development but there needs to be more focus on the process and evolution of tourism management and planning as tools for maintaining the urban tourism product and in a multifunctional city some better measures of estimating tourist numbers
Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches
Engineering of knowledge-intensive processes (KiPs) is far from being mastered, since they are genuinely knowledge- and data-centric, and require substantial flexibility, at both design- and run-time. In this work, starting from a scientific literature analysis in the area of KiPs and from three real-world domains and application scenarios, we provide a precise characterization of KiPs. Furthermore, we devise some general requirements related to KiPs management and execution. Such requirements contribute to the definition of an evaluation framework to assess current system support for KiPs. To this end, we present a critical analysis on a number of existing process-oriented approaches by discussing their efficacy against the requirements
Deferred Action: Theoretical model of process architecture design for emergent business processes
E-Business modelling and ebusiness systems development assumes fixed company resources,
structures, and business processes. Empirical and theoretical evidence suggests that company resources
and structures are emergent rather than fixed. Planning business activity in emergent contexts requires
flexible ebusiness models based on better management theories and models . This paper builds and
proposes a theoretical model of ebusiness systems capable of catering for emergent factors that affect
business processes. Drawing on development of theories of the âaction and designâclass the Theory of
Deferred Action is invoked as the base theory for the theoretical model. A theoretical model of flexible
process architecture is presented by identifying its core components and their relationships, and then
illustrated with exemplar flexible process architectures capable of responding to emergent factors.
Managerial implications of the model are considered and the modelâs generic applicability is discussed
Past, present and future of information and knowledge sharing in the construction industry: Towards semantic service-based e-construction
The paper reviews product data technology initiatives in the construction sector and provides a synthesis of related ICT industry needs. A comparison between (a) the data centric characteristics of Product Data Technology (PDT) and (b) ontology with a focus on semantics, is given, highlighting the pros and cons of each approach. The paper advocates the migration from data-centric application integration to ontology-based business process support, and proposes inter-enterprise collaboration architectures and frameworks based on semantic services, underpinned by ontology-based knowledge structures. The paper discusses the main reasons behind the low industry take up of product data technology, and proposes a preliminary roadmap for the wide industry diffusion of the proposed approach. In this respect, the paper stresses the value of adopting alliance-based modes of operation
Designing Reusable Systems that Can Handle Change - Description-Driven Systems : Revisiting Object-Oriented Principles
In the age of the Cloud and so-called Big Data systems must be increasingly
flexible, reconfigurable and adaptable to change in addition to being developed
rapidly. As a consequence, designing systems to cater for evolution is becoming
critical to their success. To be able to cope with change, systems must have
the capability of reuse and the ability to adapt as and when necessary to
changes in requirements. Allowing systems to be self-describing is one way to
facilitate this. To address the issues of reuse in designing evolvable systems,
this paper proposes a so-called description-driven approach to systems design.
This approach enables new versions of data structures and processes to be
created alongside the old, thereby providing a history of changes to the
underlying data models and enabling the capture of provenance data. The
efficacy of the description-driven approach is exemplified by the CRISTAL
project. CRISTAL is based on description-driven design principles; it uses
versions of stored descriptions to define various versions of data which can be
stored in diverse forms. This paper discusses the need for capturing holistic
system description when modelling large-scale distributed systems.Comment: 8 pages, 1 figure and 1 table. Accepted by the 9th Int Conf on the
Evaluation of Novel Approaches to Software Engineering (ENASE'14). Lisbon,
Portugal. April 201
Designing Traceability into Big Data Systems
Providing an appropriate level of accessibility and traceability to data or
process elements (so-called Items) in large volumes of data, often
Cloud-resident, is an essential requirement in the Big Data era.
Enterprise-wide data systems need to be designed from the outset to support
usage of such Items across the spectrum of business use rather than from any
specific application view. The design philosophy advocated in this paper is to
drive the design process using a so-called description-driven approach which
enriches models with meta-data and description and focuses the design process
on Item re-use, thereby promoting traceability. Details are given of the
description-driven design of big data systems at CERN, in health informatics
and in business process management. Evidence is presented that the approach
leads to design simplicity and consequent ease of management thanks to loose
typing and the adoption of a unified approach to Item management and usage.Comment: 10 pages; 6 figures in Proceedings of the 5th Annual International
Conference on ICT: Big Data, Cloud and Security (ICT-BDCS 2015), Singapore
July 2015. arXiv admin note: text overlap with arXiv:1402.5764,
arXiv:1402.575
Recommended from our members
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 âSimulation and Complexity Theoryâ 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
- âŠ