Search results for "ta113"
showing 10 items of 530 documents
Introduction to Integrating Knowledge and Learning Processes Minitrack
2013
This minitrack discusses knowledge management (KM) from an integrated perspective, i.e., the integration of KM, learning, and business processes. It mainly focuses on two issues: a) how can knowledge, learning and business processes integrated, and b) how can the related systems be integrated to enable an efficient workflow. Currently, even less learning environments take context and environment into account. Using mobile and ubiquitous technologies can lead to a paradigm shift in the construction of such learning environments: from static to highly contextualized knowledge and learning experiences. Based on the integration of knowledge and learning systems into social networks and social m…
Best Practices for International eSourcing of Software Products and Services from the Service Providers' Perspective
2015
This research analyzes how eSourcing service providers can execute the Information and Communications Technology-enabled international sourcing of software-intensive systems and services (eSourcing) effectively. The extant literature falls short of providing a detailed enough set of best practices and supporting classes of information systems to help providers to manage and deliver effective services. This research presents a set of best practices for international eSourcing service providers to facilitate the execution, improvement, and management of international eSourcing services. The practices help providers to establish and execute a mature eSourcing life-cycle in order to overcome th…
Guidelines for improving the contextual relevance of field surveys: the case of information security policy violations
2014
The information systems (IS) field continues to debate the relative importance of rigor and relevance in its research. While the pursuit of rigor in research is important, we argue that further effort is needed to improve practical relevance, not only in terms of topics, but also by ensuring contextual relevance. While content validity is often performed rigorously, validated survey instruments may still lack contextual relevance and be out of touch with practice. We argue that IS behavioral research can improve its practical relevance without loss of rigor by carefully addressing a number of contextual issues in instrumentation design. In this opinion article, we outline five guidelines – …
Ontology-based standardization on knowledge exchange in social knowledge management environments
2012
After the hype around Web 2.0, organizations have revisited their efforts on knowledge management in order to create beneficial effects from their employees' activities in social environments. While there is not much doubt about the positive effects on creativity and flexibility, handling the variety of knowledge work environments that are in use at different organizational units or business partners can negatively affect productivity. While standards have generally mushroomed in the IT domain, there is a lack of standards in knowledge management. This paper argues for a standard on exchanging knowledge between social environments. We revisit related work, particularly standards which can b…
Introduction to the designing and deploying next generation knowledge systems and knowledge intensive business processes minitrack
2013
Work systems and the knowledge systems enabling them need to be aligned with emerging technologies to ensure organizational acceptance and to support effective organizational value creation. Traditional, often monolithic knowledge system architectures need to be redesigned due to technological progress manifested by, for example, social software, mashups, and semantic technologies. In our view, these redesigns lead to a new class of knowledge systems that we call “Next Generation Knowledge Systems.” Project management (PM) involved in the design and deployment of knowledge systems differs from the PM involved in traditional IS projects. While design projects are essential in creating next g…
Formal specification of open standards and the case of RSS v2.0
2014
Open standardization seems to be very popular among software developers as it makes the standard's adoption by the software engineering community easier and smoother. Formal specification methods, on the other hand, while very promising, are being adopted by protocol engineers very slowly; the industry seems to have little motivation to move into this, almost unknown, territory.In this paper the authors present the i) idea of applying formal methods (formal specification techniques) to open standards' specifications, and ii) an example of a formal specification of open standards, RSS v2.0 in particular. The authors support and provide evidence for the advantages of the open standards formal…
Linear fusion of interrupted reports in cooperative spectrum sensing for cognitive radio networks
2015
Interrupted reporting has recently been introduced as an effective method to increase the energy efficiency of cooperative spectrum sensing schemes in cognitive radio networks. In this paper, joint optimization of the reporting and fusion phases in a cooperative sensing with interrupted reporting is considered. This optimization aims at finding the best weights used at the fusion center to construct a linear fusion of the received interrupted reports, jointly with Bernoulli distributions governing the statistical behavior of the interruptions. The problem is formulated by using the deflection criterion and as a nonconvex quadratic program which is then solved for a suboptimal solution, in a…
Reduced Order Models for Pricing European and American Options under Stochastic Volatility and Jump-Diffusion Models
2017
Abstract European options can be priced by solving parabolic partial(-integro) differential equations under stochastic volatility and jump-diffusion models like the Heston, Merton, and Bates models. American option prices can be obtained by solving linear complementary problems (LCPs) with the same operators. A finite difference discretization leads to a so-called full order model (FOM). Reduced order models (ROMs) are derived employing proper orthogonal decomposition (POD). The early exercise constraint of American options is enforced by a penalty on subset of grid points. The presented numerical experiments demonstrate that pricing with ROMs can be orders of magnitude faster within a give…
Interactive Multiple Criteria Decision Making based on preference driven Evolutionary Multiobjective Optimization with controllable accuracy
2012
Abstract We present an approach to interactive Multiple Criteria Decision Making based on preference driven Evolutionary Multiobjective Optimization with controllable accuracy. The approach relies on formulae for lower and upper bounds on coordinates of the outcome of an arbitrary efficient variant corresponding to preference information expressed by the Decision Maker. In contrast to earlier works on that subject, here lower and upper bounds can be calculated and their accuracy controlled entirely within evolutionary computation framework. This is made possible by exploration of not only the region of feasible variants – a standard within evolutionary optimization, but also the region of i…
Genetic programming through bi-objective genetic algorithms with a study of a simulated moving bed process involving multiple objectives
2013
A new bi-objective genetic programming (BioGP) technique has been developed for meta-modeling and applied in a chromatographic separation process using a simulated moving bed (SMB) process. The BioGP technique initially minimizes training error through a single objective optimization procedure and then a trade-off between complexity and accuracy is worked out through a genetic algorithm based bi-objective optimization strategy. A benefit of the BioGP approach is that an expert user or a decision maker (DM) can flexibly select the mathematical operations involved to construct a meta-model of desired complexity or accuracy. It is also designed to combat bloat - a perennial problem in genetic …