Search results for "data science"
showing 10 items of 495 documents
Human resources training: A bibliometric analysis
2019
Abstract Research on human resources training has been shaped by a great number of articles published in recent decades. This study contributes to the literature by examining how this research is built on the basis of different intellectual frameworks and by identifying the relevant references, authors, topics, and journals. With this aim, we used bibliometric techniques to examine over 900 articles published between 1975 and 2016. We observed three publication periods that have shaped the evolution of research in this field. In the journals that have published these articles, a wide range of disciplines have been used to address the topic of human resources. The dominant focus is on US and…
Bibliometric analysis of absorptive capacity
2017
Abstract This study contributes to our understanding of absorptive capacity (AC) by reviewing AC articles systematically using two types of blibliometric co-citation analysis – bibliometric co-citation and bibliometric cartography – for the last 25 years. In total, we analyzed 336 articles (using HistCite ) and 2088 articles (using VOSviewer ), respectively, finding five research streams in AC: (1) intra-organizational learning; (2) inter-organizational learning; (3) knowledge transfer; (4) dynamic capability; and (5) micro-foundations. This integrative literature review of AC adds to the categorization of the literature, links the international business research to AC, and provides promisi…
Treating the crowd fairly: increasing the solvers’ self-selection in idea innovation contests
2020
Abstract The success of idea crowdsourcing contests depends on the wideness of the number of solvers that voluntarily self-select to solve the problem broadcast by the seeker and previous research has started to highlight the role of fairness in the self-selection process of solvers. This study aims at deepening the understanding concerning how fairness can influence the solvers’ self-selection. By applying a netnographic research design, we identify possible unexplored facets of fairness in the crowdsourcing context, i.e., prize award, award guaranteed, and non-blind contest. Theoretically, we drew from the organizational justice and fairness literature to develop hypotheses about how the …
The use of Web analytics for digital marketing performance measurement
2015
This study proposes that the benefits gained from marketing performance measurement are determined by how an organization exploits the metrics system under specific circumstances. For this purpose, the authors review performance measurement literature and apply it to the use of Web analytics, which offers companies a metrics system to measure digital marketing performance. By performing an in-depth investigation of the use of Web analytics in industrial companies, the study shows that an organization's efforts to use marketing metrics systems and the resulting outcomes cannot be understood without considering the reasoning behind the chosen metrics, the processing of metrics data, and the o…
Startup Metrics That Tech Entrepreneurs Need to Know
2020
Metrics can be used by firms to make more objective decisions based on data. Software startups in particular are characterized by the uncertain or even chaotic nature of the contexts in which they operate. Using data in the form of metrics can help software startups to make the right decisions amid uncertainty and limited resources. However, whereas conventional business metrics and software metrics have been studied in the past, metrics in the specific context of software startups have not been studied. In this chapter, we present the results of a multivocal literature review to offer you 118 metrics practitioner experts think software startups should measure. These metrics can give you id…
The decision support system for telemedicine based on multiple expertise
1998
This paper discusses the application of artificial intelligence in telemedicine and some of our research results in this area. The main goal of our research is to develop methods and systems to collect, analyse, distribute and use medical diagnostics knowledge from multiple knowledge sources and areas of expertise. Use of modern communication tools enable a physician to collect and analyse information obtained from experts worldwide with the help of a decision support medical system. In this paper we discuss a multilevel representation and processing of medical data using a system which evaluates and exploits knowledge about the behaviour of statistical diagnostics methods. The presented te…
Adolescent boys with asthma – a pilot study on embodied gendered habits
2012
Thomas Westergren,1 Ulla-Britt Lilleaas21Faculty of Health and Sport Science, Department of Health and Nursing Science, University of Agder, Grimstad, Norway; 2Faculty of Humanities and Education, Centre for Gender and Equality, University of Agder, Kristiansand, NorwayPurpose: Asthma is a common chronic disease with gender differences in terms of severity and quality of life. This study aimed to understand the gendered practices of male asthmatic adolescents in terms of living with and managing their chronic disease. The study applied a sociological perspective to identify the gender-related practices of participants and their possible consequences for health and disease.Patients and metho…
Meta model of e-learning materials development
2014
The multitude of software tools is available for the creation of learning resources. However the majority of these tools provided by different software producers do not have a unified mechanism by means of which it would be possible to search and reuse the existing learning resources or their elements. To solve this problem the structures of descriptive data can be used. The aim of this paper is to describe a meta-model of e-learning objects and e-learning formats that could be used in the creation of e-learning materials compatible with various e-learning standards. The meta-data models that are used in widely-known learning resourcesâ repositories and their structureâs metadata standa…
The MoSGrid Science Gateway – A Complete Solution for Molecular Simulations
2014
The MoSGrid portal offers an approach to carry out high-quality molecular simulations on distributed compute infrastructures to scientists with all kinds of background and experience levels. A user-friendly Web interface guarantees the ease-of-use of modern chemical simulation applications well established in the field. The usage of well-defined workflows annotated with metadata largely improves the reproducibility of simulations in the sense of good lab practice. The MoSGrid science gateway supports applications in the domains quantum chemistry (QC), molecular dynamics (MD), and docking. This paper presents the open-source MoSGrid architecture as well as lessons learned from its design.
Change Discovery in Heterogeneous Data Sources of a Data Warehouse
2020
Data warehouses have been used to analyze data stored in relational databases for several decades. However, over time, data that are employed in the decision-making process have become so enormous and heterogeneous that traditional data warehousing solutions have become unusable. Therefore, new big data technologies have emerged to deal with large volumes of data. The problem of structural evolution of integrated heterogeneous data sources has become extremely topical due to dynamic and diverse nature of big data. In this paper, we propose an approach to change discovery in data sources of a data warehouse utilized to analyze big data. Our solution incorporates an architecture that allows t…