An explanatory model of the organizational factors that explain the adoption of E-business

García-Moreno, Marta Beatriz; Moreno, Susana María García; Sánchez, Juan José Nájera; Heredero, Carmen de Pablos

doi:10.3926/jiem.1917

Cited by 8 publications

(9 citation statements)

References 135 publications

(194 reference statements)

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“…These variables have been proposed as factors with an influence on e-business adoption. As verified in the work by García Moreno et al (2016), the empirical study has 11 independent variables.…”

Section: Measuring the Independent Variablesmentioning

confidence: 93%

“…In short, Table 10 recaps the conclusions drawn from the analysis of the regression models in relation to the hypotheses formulated by García-Moreno et al (2016).…”

Section: Estimating the Final Modelmentioning

confidence: 98%

“…One of the classical topics in the literature on the adoption of innovations, which also extends to e-business, is the influence of firm size, with hypotheses formulated in both directions, as noted by García Moreno et al (2016).…”

Section: Measuring Firm Sizementioning

confidence: 99%

“…This research sets out to validate the model developed by García Moreno et al (2016) on the factors that impact upon the adoption of e-business by firms. Although there are prior studies in the literature that have used the existence, or not, of e-business practices as the measurement variable, this work is based on the construction of a more complex measure designed to describe in greater detail a firm's specific situation with regard to such practices.…”

Section: Introductionmentioning

confidence: 99%

“…The aim is therefore to provide empirical evidence of a relationship of dependency between a series of factors analysed in the literature and grouped together in the work by García Moreno et al (2016) into three categories (firm, technology, and environment), and the level of e-business adoption, for the purpose of specifying whether the characteristics considered are favourable to, or are at least present in, those cases in which firms have adopted higher levels of e-business.…”

Section: Introductionmentioning

confidence: 99%

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The impact of organizational factors on-business adoption: An empirical analysis

García-Moreno

Moreno

J.-J.

et al. 2018

JIEM

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Purpose: Provide empirical validation of the model developed by García-Moreno, García-Moreno, Nájera-Sánchez and Pablos-Heredero (2016) on the factors influencing the adoption of e-business in firms.Design/methodology/approach: Consideration is given to the method for measuring each one of the variables included in the model. Use has been made of the e-Business Watch database, which contains measures for the theoretical model's three categories: firm, technology, and environment. Multinomial logistic regression models have been provided. Findings:The variables included have revealed significant statistical relationships for the model in question, although the intensity of the relationships differs. The variables related to the environment also reveal statistically significant relationships, whereby the attitude of trading partners appears to have a relevant and growing impact on e-business adoption.Research limitations/implications: Data come from just one database: the e-Business Watch database/enriched data from alternative databases could be included. Practical implications:The infrastructure of information and communications technologies (ICTs) is confirmed to be a determining factor in e-business development. Nevertheless, the effect of competitor rivalry has a more erratic influence that is encapsulated in a significant relationship in intermediate models, with a sharper increase in the likelihood of being in the category of customer-focused firms, and less internally focused. Social implications:The human capital linked to ICTs is a driving force behind the adoption of these practices. Albeit with a more moderate effect, note should also be taken of the capacity for entering into relationships with third parties within the scope of ICTs, with significant effects that become more robust as they are tested in models that seek to explain the probability of recording higher levels of e-business adoption.Originality/value: The article presents a first empirical analysis to apply the previous developed model published in this journal in 2016.These strata involve a quota of 10% for large enterprises (>250 employees), 30% for medium-sized enterprises (50-249 employees), 25% for small enterprises (10-49 employees), and 35% for microenterprises (< 10 employees).Once the data had been collected from the survey, the next step involved analysing the most appropriate ones for measuring each one of the model's variables. This meant choosing the questions that referred to each variable, analysing each one's suitability for achieving the corresponding goal. Table 1 lists the survey questions used for drawing up the model's measures. Measuring the Model's VariablesThe dependent variable is e-business adoption. A literature review reveals different ways of measuring e-business adoption. Zhu, Kraemer and Xu (2006) measure the concept through an aggregate index: whether the firm has used the internet for each one of the seven activities in the value chain. These seven elements range from marketing, sales and after-sales servic...

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Section: Measuring the Independent Variablesmentioning

confidence: 93%

“…In short, Table 10 recaps the conclusions drawn from the analysis of the regression models in relation to the hypotheses formulated by García-Moreno et al (2016).…”

Section: Estimating the Final Modelmentioning

confidence: 98%

Section: Measuring Firm Sizementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations