Search results for "Information Systems"
showing 10 items of 1926 documents
Implementing cloud ERP solutions: a review of sociotechnical concerns
2018
Abstract Cloud ERP solutions allow organizations of all sizes to support and coordinate key business processes by leveraging virtualization. Nevertheless, the implementation of cloud ERPs is not straightforward and there are significant issues that need to be taken into account when launching cloud ERP initiatives. To explore these issues, we conducted an in-depth systematic review of related research literature. We identified six key issues related to cloud ERP implementation: a) functionality fit, b) integration, c) data migration, d) organizational change, e) data security, and f) reliability. Furthermore, we mapped these issues to the different sizes of organizations. Based on this revi…
Theorising about barriers to open e-learning systems in public administrations
2018
Abstract Barriers to the general use of e-learning technology are known across various contexts. Despite increasing efforts to clarify the range of these barriers, few efforts have been made to advance the theorising about them and, thus, to answer why and how they unfold. This study is motivated to overcome this unaddressed problem and develops a process model based on adaptive structuration theory (AST) and the punctuated socio-technical change model (PSIC). It represents how barriers unfold between actors, technology, and organisational properties in public administrations. The PaSIC model provides a new perspective on how critical incidents drive the emergence and progress of barriers t…
RANKING DECISION MAKING UNITS BY MEANS OF SOFT COMPUTING DEA MODELS
2011
This paper presents a method for ranking a set of decision making units according to their level of efficiency and which takes into account uncertainty in the data. Efficiency is analysed using fuzzy DEA techniques and the ranking is based on the statistical analysis of cases that include representative situations. The method enables the removal of the sometimes unrealistic hypothesis of a perfect trade-off between increased inputs and outputs. This model is compared with other DEA models that work with imprecise or fuzzy data. As an illustration, we apply our ranking method to the evaluation of a group of Spanish seaports, as well as teams playing in the Spanish football league. We compar…
Soft computing-based aggregation methods for human resource management
2008
Abstract We are interested in the personnel selection problem. We have developed a flexible decision support system to help managers in their decision-making functions. This DSS simulates experts’ evaluations using ordered weighted average (OWA) aggregation operators, which assign different weights to different selection criteria. Moreover, we show an aggregation model based on efficiency analysis to put the candidates into an order.
Artificial Vision and Soft Computing
1999
The term soft-computing has been introduced by Zadeh in 1994. Soft-computing provides an appropriate paradigm to program malleable and smooth concepts. For example, it can be used to introduce flexibility in artificial systems to improve their Intelligent Quotient. The aim of this paper is to describe the applicability of soft-computing to artificial vision problems. Good performance of this approach is assured by the fact that digital images are examples of fuzzy entities, where shapes are not always describable by exact equations and their approximation can be very complex.
An Expert System for the Design of Agents
2007
The growing interest for the design and development of multi-agent systems has brought to the creation of a specific research area called Agent-Oriented Software Engineering (AOSE), specifically conceived for the development of complex systems. The development of such systems needs the support of appropriate tools that could help the designer in producing the design artefacts. We developed a tool called Metameth that may be used to define a new (agent-oriented) design process as well as to apply it. In this paper, we describe only a slice of this complex tool, specifically addressing the interaction with human actors (the designers). This subsystem is conceived as a collaborative multi-agen…
Quantum computing challenges in the software industry. A fuzzy AHP-based approach
2022
Context The current technology revolution has posed unexpected challenges for the software industry. In recent years, the field of quantum computing (QC) technologies has continued to grow in influence and maturity, and it is now poised to revolutionise software engineering. However, the evaluation and prioritisation of QC challenges in the software industry remain unexplored, relatively under-identified and fragmented. Objective The purpose of this study is to identify, examine and prioritise the most critical challenges in the software industry by implementing a fuzzy analytic hierarchy process (F-AHP). Method First, to identify the key challenges, we conducted a systematic literature rev…
Too many passwords? How understanding our memory can increase password memorability
2018
Abstract Passwords are the most common authentication mechanism, that are only increasing with time. Previous research suggests that users cannot remember multiple passwords. Therefore, users adopt insecure password practices, such as password reuse in response to their perceived memory limitations. The critical question not currently examined is whether users’ memory capabilities for password recall are actually related to having a poor memory. This issue is imperative: if insecure password practices result from having a poor memory, then future password research and practice should focus on increasing the memorability of passwords. If, on the other hand, the problem is not solely related …
Sound and reusable components for abstract interpretation
2019
Abstract interpretation is a methodology for defining sound static analysis. Yet, building sound static analyses for modern programming languages is difficult, because these static analyses need to combine sophisticated abstractions for values, environments, stores, etc. However, static analyses often tightly couple these abstractions in the implementation, which not only complicates the implementation, but also makes it hard to decide which parts of the analyses can be proven sound independently from each other. Furthermore, this coupling makes it hard to combine soundness lemmas for parts of the analysis to a soundness proof of the complete analysis. To solve this problem, we propose to c…
Psychoacoustic Annoyance Implementation With Wireless Acoustic Sensor Networks for Monitoring in Smart Cities
2020
Soundscape standard (ISO 12913) is mainly oriented to describe the psychoacoustic annoyance (PA) due to the perceived sound in different environments. The evaluation of this annoyance is commonly based on the Zwicker and Fastl model that defines several components related to this subjective annoyance, such as loudness, sharpness, roughness, and fluctuation strength. But due to their complexity, these components are difficult to be calculated on small board computers (SBCs) in real time in order to enable a wireless acoustic sensor network for PA monitoring. In this article, we describe the necessary procedures to implement the complete psychoacoustic model by Zwicker and Fastl in a precise …