Information Technology and generating business value: An analysis in industrial SMEs

Sara Trigueros-Preciado, Daniel Pérez-González, Pedro Solana-González


Purpose: The literature examines the relationship between information technologies and business results mainly through direct relationship between investment on Information Technologies (IT) and financial measures. This has resulted in disparity of results and lack of consensus, and therefore, the necessity to deepen this topic. In this sense, this paper aims to analyze in industrial SMEs the effects of the use of IT on different financial and non-financial variables related to business value.

Design/methodology/approach: The work follows the classical research scheme with literature review, statement of hypotheses and application of quantitative empirical methodology, collecting information through questionnaires sent by email, for further processing and statistical testing using ANOVA models, which allow get results and conclusions.

Findings and Originality/value: The study provides an approach beyond classical search of direct relationship between IT investment and financial measures, using instead as an explanatory variable the "use of IT" and as explained variables the Balance scorecard dimensions, which considers the financial ones and introduces other more qualitative as customers, human resources and internal processes. The obtained results show that IT contributes to the generation of value not only through the profitability but also other more qualitative factors.

Research limitations/implications: The sample size (85 companies) complicates the extrapolation of results. In addition, in the future it would be appropriate to consider new technological developments like Cloud computing, along with variables such as information security and its impact on value creation.

Originality/value: This work shows that to analyze the generated value by IT it must to be considered financial and non-financial variables. The proposed approach, variables and scales complement traditional approaches and can guide future research as well as companies who want to generate their own self-assessment system.


Information Technology, business value, quantitative and qualitative result indicators.

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Licencia de Creative Commons 

This work is licensed under a Creative Commons Attribution 4.0 International License

Intangible Capital, 2004-2023

Online ISSN: 1697-9818; Print ISSN: 2014-3214; DL: B-33375-2004

Publisher: OmniaScience