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Journal ArticleDOI

Understanding e‐business adoption across industries in European countries

TLDR
The results suggest that the perceived benefits and obstacles of e‐business, technology readiness, competitive pressure, and trading partner collaboration are the drivers that are important for both industries.
Abstract
Purpose – The paper seeks to investigate the factors that affect the adoption of e‐business by firms belonging to European Union (EU) countries, by comparing the effect across two different industries: telecommunications (telco) and tourism.Design/methodology/approach – Data were collected from 2,459 firms belonging to EU27 countries across two industries. The data were analyzed by employing factorial analysis and relevant hypotheses were derived and tested by logistic regression analysis.Findings – The results suggest that the perceived benefits and obstacles of e‐business, technology readiness, competitive pressure, and trading partner collaboration are the drivers that are important for both industries. Through the comparison of the industries, statistically significant differences between the telco and the tourism industries, i.e. the relative importance of all drivers for e‐business adoption differs between the industries, were found. The only exception is competitive pressure.Research limitations/im...

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Citations
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Journal ArticleDOI

Understanding the determinants of cloud computing adoption

TL;DR: The research revealed that relative advantage, top management support, firm size, competitive pressure, and trading partner pressure characteristics have a significant effect on the adoption of cloud computing.
Journal Article

Literature Review of Information Technology Adoption Models at Firm Level

TL;DR: In this paper, the authors review theories for adoption models at the firm level used in information systems literature and discuss two prominent models: diffusion on innovation (DOI) theory, and the technology, organization, and environment (TOE) framework.
Journal ArticleDOI

Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors

TL;DR: Assessing the determinants of cloud computing adoption is based on an analysis of the manufacturing and services sectors and the results show clear trends in adoption towards cloud-based services.
Journal ArticleDOI

Cloud computing adoption by SMEs in the north east of England: A multi‐perspective framework

TL;DR: An SME cloud computing adoption model that was theoretically grounded in the TOE framework was developed, and it was shown that the three contexts of this framework (technological, organisational, and environmental) are connected to each other.
Journal ArticleDOI

What drives Malaysian m‐commerce adoption? An empirical analysis

TL;DR: The extended TAM model is successfully extended in the context of mobile commerce by incorporating one trust‐based construct (trust), one behavioural control construct (perceived financial cost) and one subjective norm construct (SI) to provide a greater understanding of user acceptance of mobile Commerce in Malaysia.
References
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Book

Diffusion of Innovations

TL;DR: A history of diffusion research can be found in this paper, where the authors present a glossary of developments in the field of Diffusion research and discuss the consequences of these developments.
Journal ArticleDOI

Multivariate Data Analysis

TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.
Book

Applied Logistic Regression

TL;DR: Hosmer and Lemeshow as discussed by the authors provide an accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets.
Journal ArticleDOI

Multivariate data analysis

TL;DR: This chapter discusses Structural Equation Modeling: An Introduction, and SEM: Confirmatory Factor Analysis, and Testing A Structural Model, which shows how the model can be modified for different data types.
Journal ArticleDOI

Diffusion of Innovations

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