Search results for "Computer science"
showing 10 items of 22367 documents
Reliable Outer Bounds for the Dual Simplex Algorithm with Interval Right-hand Side
2013
International audience; In this article, we describe the reliable computation of outer bounds for linear programming problems occuring in linear relaxations derived from the Bernstein polynomials. The computation uses interval arithmetic for the Gauss-Jordan pivot steps on a simplex tableau. The resulting errors are stored as interval right hand sides. Additionally, we show how to generate a start basis for the linear programs of this type. We give details of the implementation using OpenMP and comment on numerical experiments.
The effects of two-way communication and chat service usage on consumer attitudes in the e-commerce retailing sector
2018
In e-commerce retailing (e-retailing), where competitors are only one click away and prices are easy to compare, providing superior customer service and reciprocal communication via a company’s website are important aspects of attracting and retaining customers. One increasingly popular solution to improve customer service is a “live chat” interface that allows consumers to have real-time conversations online with customer service agents. As the literature on the impacts of real-time communication via live chat is currently very limited, this study develops and tests a model that demonstrates the moderating effects of a chat service on the relationship between two-way communication (i.e., a…
Identifying the Sales Patterns of Online Stores with Time Series Clustering
2018
Electronic commerce, especially in the business-to-consumer (B2C) context, has for years been a popular research topic in information systems (IS). However, the prior research on the topic has traditionally been dominated by the consumer focus instead of the business focus of online stores. For example, whereas various segmentations exist for online consumers based on their purchase behaviour, no such segmentations have been developed for online stores based on their sales patterns. In this study, our objective is to address this gap in prior research by identifying the most typical sales patterns of online stores operating in the B2C context. By using self-organising maps (SOM) to analyse …
Infographics as a Reflective Assignment Method in Requirements Engineering e-Course?
2019
Our Work in Progress Paper in Innovative Practice Category focuses on how learners’ experience use of infographics in advanced level e-course on requirements engineering (RE). Infographics are visual representations of information in such a way that information can be easily understood at a glance. Most of the previous infographics studies have been conducted in the context of inquiry learning. To complement this research, we studied how learners experience use of infographics as a method for reflective assignment and hence if the usage of infographics supported conceptualization about RE. We adopted a qualitative content analysis approach, applying thematic network analysis to the data rec…
Applying Affordances Scale as a Design Method : Case Virtual Reality Course Design
2021
Practitioners including designers and teachers developing Virtual Reality (VR) courses are facing a question regarding the strengths and subject areas in which VR-enriched courses might have the highest potential compared to conventional courses. The present study develops a survey scale to assess and match industry managers’ requirements for skills for working life. The same scale was surveyed among two different groups of higher education students participating in conventional courses and a VR-aided course. The results indicate that the industry requirements were higher than met by the both course types. However, the results highlight a set of skills for which the VR courses have the high…
Using AI to personalise emotionally appealing advertisement
2019
Personal data and information collected online by companies can be used to design and personalise advisements. This chapter extends existing research into the online behavioural advertising by proposing a model that incorporates artificial intelligence and machine learning into developing emotionally appealing advertisements. It is proposed that big data and consumer analytics collected through AI from different sources will be aggregated to have a better understanding of consumers as individuals. Personalised emotionally appealing advertisements will be created with this information and shared digitally using pragmatic advertising strategies. Theoretically, this chapter contributes towards…
Examining the antecedents and consequences of perceived value : a case study of mobile banking application usage in the Kingdom of Saudi Arabia
2022
Recent advancements in information, communications, and mobile technologies have revolutionized banking and payment services as well as consumer behavior. This study examines the continuous usage experience of mobile financial services, and especially mobile banking services, in the Kingdom of Saudi Arabia (KSA), the context of this study. Data were collected from 300 experienced mobile banking users across the KSA using a pre-tested survey instrument. The partial least squares structural equation modelling (PLS-SEM) was used to analyze the data. The results supported most of the hypotheses and revealed that e-service quality, e-information quality, and experience flow have a significant an…
Performance analysis of Latvian zenith camera
2018
Since finalizing of design in 2016, the digital zenith camera of the University of Latvia was involved in a number of test observations as well as field observations at about 70 different sites. The paper presents analysis of observation results, estimation of instrument’s performance and accuracy. Random and systematic error sources are outlined. Impact of anomalous refraction on vertical deflection determination is discussed. Results of adaptation of GAIA reference star catalog for astrometric data reduction are reported.
Generating TV summaries for CE-devices
2002
Automatically generated summaries of TV content are indispensable for content selection and navigation in CE-devices. We show two different types of summaries: Short video trailers and visual overviews consisting of representative frames. The demo does not only show the feasibility of the proposed algorithms, but also shows how different types of generated summaries can be used in future CE-devices.
Error messages in relational database management systems: A comparison of effectiveness, usefulness, and user confidence
2021
Abstract The database and the database management system (DBMS) are two of the main components of any information system. Structured Query Language (SQL) is the most popular query language for retrieving data from the database, as well as for many other data management tasks. During system development and maintenance, software developers use a considerable amount of time to interpret compiler error messages. The quality of these error messages has been demonstrated to affect software development effectiveness, and correctly formulating queries and fixing them when needed is an important task for many software developers. In this study, we set out to investigate how participants ( N = 152 ) …