Espaces et sociétés : revue critique internationale de l'aménagement, de l'architecture et de l'urbanisation / dir. publ. Serge Jonas

1987 (N50).

Espaces et sociétés : revue critique internationale de l'aménagement, de l'architecture et de l'urbanisation / dir. publ. Serge Jonas

1977/12 (N12)- (N23).

Semantic Web applications: a framework for industry and business exploitation – What is needed for the adoption of the Semantic Web from the market and industry

In recent years, Semantic Web (SW) research has resulted in significant outcomes. Various industries have adopted SW technologies, while the ‘deep web’ is still pursuing the critical transformation point, in which the majority of data found on the deep web will be exploited through SW value layers. In this article we analyse the SW applications from a ‘market’ perspective. We are setting the key requirements for real-world information systems that are SW-enabled and we discuss the major difficulties for the SW uptake that has been delayed. This article contributes to the literature of SW and knowledge management providing a context for discourse towards best practices on SW-based information systems.

Factors Affecting Innovation Adoption in Organizations: The Case of Corporate Website Adoption

Diplomityössä tutkittiin innovaatioiden omaksumista organisaatioissa, ja tarkoituksena oli selvittää tekijät, jotka vaikuttivat omaksumisajankohtaan sekä luokitella yritykset omaksujaryhmiin. Työn empiirinen osuus tarkasteli yritysten internet-kotisivujen omaksumista. Tutkimuksen empiirinen aineisto kerättiin postikyselyn avulla, ja vastausprosentti kyselyssä oli melko hyvä (60%). Aikaisempien tutkimusten pohjalta muodostettiin eri tekijöille mittarit, jotka analyysien perusteella olivat erittäin luotettavia. Regressioanalyysia sovellettiin, kun pyrittiin selvittämään omaksumisajankohtaan vaikuttavia tekijöitä, ja klusterianalyysiä käytettiin apuna omaksujaluokkien muodostamisessa. Omaksujaluokkien väliset erot selvitettiin varianssianalyyseillä. Tutkimuksessa löydettiin kolme omaksumisajankohtaan vaikuttavaa tekijää: (1) innovaation koettu suhteellinen hyöty, (2) yritysjohdon sitoutuminen omaksumisprosessiin, sekä (3) yrityksen strategisten partnereiden määrä. Yritykset luokiteltiin neljään omaksujaluokkaan (innovaattorit, aikaiset omaksujat, aikainen enemmistö ja myöhäinen enemmistö) innovatiivisuuden perusteella. Innovatiivisuutta mitattiin kolmella indikaattorilla, jotka olivat: (1) ajankohta, jolloin yritys tuli tietoiseksi internet-sivuista, (2) ajankohta, jolloin tehtiin omaksumispäätös sekä (3) aika, joka kului internet-sivujen käyttöönottoon. Omaksujaluokkien välillä tunnistettiin lukuisia eroja eri ominaisuuksien suhteen.

eBusiness Adoption in Metalforming SMEs in the Automotive Industry

Competition in the automotive industry has led the participants trying to find new ways of reducing costs, increasing efficiency and improve responsiveness to gain competitive advantage. It is not anymore single companies competing against each others, it is the whole supply chains competing. This has already earlier led the big multinational companies to gain benefits by using electronic means of doing business (eBusiness). Lower down the chain the smaller companies have not yet taken advantage of the potential benefits of eBusiness methods. Therefore, the full benefits from eBusiness methods have yet to be discovered. The aim of the Thesis is to find ways of taking advantage of eBusiness methods with their limited resources. Because small and medium sized enterprises (SME) many times lack of eBusiness knowledge this project also aims to clarify the idea of eBusiness, present the potential possibilities and benefits from eBusiness and the requirements needed to achieve them. The Thesis presents information of eBusines especially in the automotive industry. Together with this information and the information acquired from the case study company a simple route map is developed which SMEs can use gain competitive advantage by eBusiness methods.

On the Adoption of Partial Least Squares in Psychological Research: Caveat Emptor

The partial least squares technique (PLS) has been touted as a viable alternative to latent variable structural equation modeling (SEM) for evaluating theoretical models in the differential psychology domain. We bring some balance to the discussion by reviewing the broader methodological literature to highlight: (1) the misleading characterization of PLS as an SEM method; (2) limitations of PLS for global model testing; (3) problems in testing the significance of path coefficients; (4) extremely high false positive rates when using empirical confidence intervals in conjunction with a new "sign change correction" for path coefficients; (5) misconceptions surrounding the supposedly superior ability of PLS to handle small sample sizes and non-normality; and (6) conceptual and statistical problems with formative measurement and the application of PLS to such models. Additionally, we also reanalyze the dataset provided by Willaby et al. (2015; doi:10.1016/j.paid.2014.09.008) to highlight the limitations of PLS. Our broader review and analysis of the available evidence makes it clear that PLS is not useful for statistical estimation and testing.