OSS Adoption: Who is Leading and Why?

Parallelsacht. "OSS Adaption" war Hauptsachtitel der 1. Version, die 14 Tage lang im Netz stand. It is no secret that open source software (OSS) is gaining ground, yet the drivers for OSS adoption still seem rather unclear. This report aims to compare various industries within select countries in the EU and tries to explain their OSS adoption patterns. The results indicate that companies in Poland, the Czech Republic and Hungary are leading OSS adopters. Further, it was found that company adoption of OSS is largely dependent on in-house IT development and expertise. The focus on internal development and capacities is often characteristic of larger firms, which is corroborated by our findings. Finally, the analysis showed that companies tend to OSS, the higher their requirements for open standards and interoperability.Open source software, Adoption: Internal IT capacity, User innovation

SMEs e-business behaviour: a demographics and strategic analysis

The aim of this research was to understand the strategic uses of e-business systems and technologies by classifying companies and particularly small and medium businesses according to demographics as well as e-business behavior variables.The study was based on data from a large quantitative survey of European E-business W@tch for the period 2007 using questionnaire interviews (N=409). We employed two-step cluster analysis, multinomial logistic regression and stepwise descriminant analysis as the most appropriate methods for our analysis. The findings revealed six clusters associated to e-business adoption. The six groups differ in terms of demographic characteristics as well as e-business applications they use. We found that the following clusters exist: (a) Leaders: large companies that extensively use ebusiness in a strategic manner (b) innovators: use e-business in an way that allows them to innovate and differentiate from other companies (c Beginners: small and medium companies across all sectors that only recently start to use e-business (d) Unready Adopters: micro and small companies that lag behind (e) Late Adopters: small-size companies but larger that the Unready Adopters, that appear not to be interest in the advances of ICTs and (f) Laggards: micro companies with little use of e-business.The results of our survey can positively contribute to managers aiming to take advantage of technological advances in electronic business as well as to any researcher who study e-business management and applications

Investigating e-business practices in tourism :a comparative analysis of three countries

This study examined the behaviour of tourist companies in relation to the adoption of e-business technologies and applications. The study aimed to identify groups of companies with homogenous behaviour among three European countries (Greece, Portugal and Norway). Based on data from a European survey, the study employed two-step cluster analysis which revealed 14 clusters of common behaviour (five clusters in Greece, five in Portugal and four in Norway). These clusters were named as: Leaders’ ‘Technology Experts’, ‘Fast Adopters’ ‘Beginners’, ‘Late Adopters’. In Norway, the group ‘Late Adopters’ also included companies characterised as ‘Beginners’ in the other two countries. We suggest further investigation among European countries in order to reveal more groups of similar behaviour toward e-business adoption

eEnabled internet distribution for small and medium sized hotels: the case of hospitality SMEs in Athens

Advances in information and communications technologies (ICTs) have strategic implications for a wide range of industries. Tourism and hospitality have dramatically changed by the ICTs and the Internet and gradually emerge as the leading industry on online expenditure. The Internet revolutionised traditional distribution models, enabled new entries propelled both disintermediation and reintermediation and altered the sources of competitive advantage. This paper explores the strategic implications of ICTs and the perceived advantages and disadvantages of Internet distribution for small and medium-sized hospitality enterprises (SMEs). Primary research in Athens hotels demonstrates the effects of the Internet and ICTs for secondary markets, where there is lower penetration and ICT adoption. Interviews and questionnaires identified a number of strategies in order to optimise distribution. The analysis illustrates the strategic role of ICTs and the Internet for hospitality organisations and Small and Medium-sized organisations in general. Most hotels employ a distribution mix that determines the level and employment of the Internet. The paper demonstrates that only organisations that use ICTs strategically will be able to develop their electronic distribution and achieve competitive advantages in the future

Competition and Innovation: ICT- and non-ICT-enabled Product and Process Innovations

The reason for contradictory predictions of the models studying the impact of competi¬tion on innovation is the varying assumptions with respect to competition or innovation type. Thus, we study how the impact of competition changes with different types of innova¬tive Output. In particular, we distinguish between non-ICT - and ICT-enabled product and process innovations. To allow for such flexibility, we apply Bayesian inference techniques and use direct measures of innovative that control for the heterogeneity of innovation Output. Our analysis provides evidence that supports the hypothesis that the effect of market com¬petition on innovation is not alike for all types of innovation. We observe an inverse U-shape relationship between competition and non-ICT-enabled and a clear U-shape dependency for ICT-enabled innovations. However, the results become considerably weaker, once industry effects are taken into account. Thus, although the impact of competition on innovation varies with the type of innovation, other factors seem to have a stronger impact on the incentives to innovate.Competition, innovation, Information and communication technologies

Competition and Innovation: ICT- and non-ICT-enabled Product and Process Innovations

The reason for contradictory predictions of the models studying the impact of competi¬tion on innovation is the varying assumptions with respect to competition or innovation type. Thus, we study how the impact of competition changes with different types of innova¬tive Output. In particular, we distinguish between non-ICT - and ICT-enabled product and process innovations. To allow for such flexibility, we apply Bayesian inference techniques and use direct measures of innovative that control for the heterogeneity of innovation Output. Our analysis provides evidence that supports the hypothesis that the effect of market com¬petition on innovation is not alike for all types of innovation. We observe an inverse U-shape relationship between competition and non-ICT-enabled and a clear U-shape dependency for ICT-enabled innovations. However, the results become considerably weaker, once industry effects are taken into account. Thus, although the impact of competition on innovation varies with the type of innovation, other factors seem to have a stronger impact on the incentives to innovate.Competition, innovation, Information and communication technologies