Information technology and communication adoption in SMEs in the metal-mechanic sector: case of Bucaramanga and its metropolitan area, Colombia

dc.contributor.affiliationCastañeda-Galvis M.T., Universidad Pontificia Bolivariana, Km-7 Via Piedecuesta, Santander, Floridablanca, Colombia
dc.contributor.affiliationAguilar-Jiménez A.S., Universidad Pontificia Bolivariana, Km-7 Via Piedecuesta, Santander, Floridablanca, Colombia
dc.contributor.affiliationLuzardo-Briceño M., Universidad de Medellín, Carrera 87 N° 30 - 65, Belen Los Alpes, Medellín, Colombia
dc.contributor.affiliationNúñez-Rodríguez J., Universidad Pontificia Bolivariana, Km-7 Via Piedecuesta, Santander, Floridablanca, Colombia
dc.contributor.authorCastañeda-Galvis M.T.; Aguilar-Jiménez A.S.; Luzardo-Briceño M.; Núñez-Rodríguez J.
dc.date.accessioned2025-04-28T22:09:42Z
dc.date.available2025-04-28T22:09:42Z
dc.date.issued2024
dc.descriptionThis study aims to conduct descriptive-correlational research on the current state of ICT adoption in SMEs of the metal-mechanic sector in Bucaramanga and its metropolitan area, as well as to identify the aspects with the most significant influence on such adoption. The Annual Manufacturing Survey provided by National Administrative Department of Statistics is used to validate the proposed hypotheses. Statistical methods, such as factor analysis with principal component extraction method, and descriptive measures are applied to determine the data’s correlation and verify if the techniques used are suitable, such as the Kaiser-Meyer-Olkin Statistic and Barlett’s sphericity test, among others. The value of the research lies in understanding the use and adoption of ICT in metal-mechanical SMEs in one of the main cities of the Colombian northeast, the epicentre of economic development, where technological and environmental factors were analysed to propose a theoretical model capable of predicting the level of adoption. © 2024 Inderscience Enterprises Ltd.
dc.identifier.doi10.1504/IJPM.2024.142789
dc.identifier.instnameinstname:Universidad de Medellínspa
dc.identifier.issn17538432
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellínspa
dc.identifier.repourlrepourl:https://repository.udem.edu.co/
dc.identifier.urihttp://hdl.handle.net/11407/8846
dc.language.isoeng
dc.publisher.facultyFacultad de Ciencias Básicasspa
dc.relation.citationendpage480
dc.relation.citationissue4
dc.relation.citationstartpage467
dc.relation.citationvolume21
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85210113822&doi=10.1504%2fIJPM.2024.142789&partnerID=40&md5=8bc582ab5c1aa37c7de7cf077f5521c0
dc.relation.referencesAbrantes B.F., Preto M.T., Antonio N., Toward a dynamic capabilities’ diffusion model for international business headway of SMEs: evidence from the metallurgic and metal-mechanic (MMI) sectors, Review of International Business and Strategy, 32, 2, pp. 204-227, (2022)
dc.relation.referencesAguilar-Jimenez A.S., Analysis of the Process of Adopting Information and Communication Technologies in Business Supply Activities in Small and Medium-Sized Manufacturing Companies, An Application to the Furniture Sector in Spain, (2010)
dc.relation.referencesAllee K.D., Do C., Raymundo F.G., Principal component analysis and factor analysis in accounting research, Journal of Financial Reporting, 7, 2, pp. 1-39, (2022)
dc.relation.referencesAlonso M., Fitzgerald G, Theoretical approaches to study SMEs eBusiness progression, Journal of Computing and InformationTechnology - CIT, 13, 2, pp. 123-136, (2005)
dc.relation.referencesAlshamaila Y., Papagiannidis S., Li F., Cloud computing adoption by SMEs in the northeast of England: a multi-perspective framework, Journal of Enterprise Information Management, 26, 3, pp. 250-275, (2013)
dc.relation.referencesBaistaman J., Nawi F.A.M., Mustapha W.M.W., Mamat M., Exploratory factor analysis of financial literacy in the malaysian context, Proceedings, 82, 1, (2022)
dc.relation.referencesBayo-Moriones A., Lera-Lopez F., A firm-level analysis of determinants of ICT adoption in Spain, Technovation, 27, 6-7, pp. 352-366, (2007)
dc.relation.referencesCabero J., Cibersociedad y juventud: la cara oculta (buena) de la Luna, pp. 1-32, (2005)
dc.relation.referencesCamacho J., Becerra L., Arenas P., Technology transfer in the process of research of the University of Santander Industrial, Revista GTI, 8, 21, pp. 23-33, (2006)
dc.relation.referencesCartay R., La transición del feudalismo al capitalismo y la revolución industrial, (1983)
dc.relation.referencesEncuesta Anual de Manufactura, (2019)
dc.relation.referencesDANE, (2022)
dc.relation.referencesHernanik N.D., Sudarmiatin S., Sumarsono H., Internationalization of SMEs: SLR (systematic literature review), International Journal of Science, Technology & Management, 4, 4, pp. 893-901, (2023)
dc.relation.referencesHoward M.C., Henderson J., A review of exploratory factor analysis in tourism and hospitality research: identifying current practices and avenues for improvement, Journal of Business Research, 154, pp. 1-14, (2023)
dc.relation.referencesLopez J., Sistema operativo, software de aplicación, Red círculos, (2017)
dc.relation.referencesMillar V.E., Porter M.E., Cómo obtener ventajas competitivas por medio de la información, Harvard Deusto Business Review, 1, 25, pp. 3-20, (1986)
dc.relation.referencesMonje A., Metodología de la investigación cualitativa y cuantitativa: guía didáctica, (2011)
dc.relation.referencesNasution S.T.A., Putri D.A., Hasibuan T.F.H., An analysis factor through Kaiser-Meyer-Olkin: disclosing audit tenure in banking companies listed on Indonesia stock exchange 2019-2022, Jurnal Ekonomi, 12, 1, pp. 1694-1700, (2023)
dc.relation.referencesNolan R., Managing the Computer Resource: A Stage Hypothesis, (1973)
dc.relation.referencesParedes V.N., Factores determinantes de la eficiencia financiera en el sector cooperativo ecuatoriano segmentos 1, 2 y 3. Un estudio antes y durante el COVID-19, (2023)
dc.relation.referencesParsons G.L., Information technology: a new competitive weapon, Sloan Management Review (pre-1986), 25, 1, (1983)
dc.relation.referencesRackoff N., Wiseman C., Ullrich W.A., Information systems for competitive advantage: implementation of a planning process, MIS Quarterly, 9, 4, pp. 285-294, (1985)
dc.relation.referencesRamos L.F.P., Santos V., do Amaral L.M.B., Prioritization of Industry 4.0 technologies based on diagnosis and performance indicators associated with lean manufacturing under interoperability requirements, Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus: Proceedings of FAIM 2022, 2, (2023)
dc.relation.referencesRath S., Machine learning in the steel industry, Handbook of Research on Machine Learning, pp. 291-312, (2022)
dc.relation.referencesRuiz D.D.M., Sotelo G.M.R., Maintenance Model to Increase the Availability of CNC Machines, through Lean and TPM tools, in SMEs in the Metalworking Sector, (2022)
dc.relation.referencesSampieri H., Collado F., Baptista P., Metodología de la investigación, (2014)
dc.relation.referencesSooranloo H.S., Saghafi S., Analysis of the factors affecting the adoption of management information systems, International Journal of Information Science and Management, 20, 3, pp. 41-67, (2022)
dc.relation.referencesTaherdoost H., Sahibuddin S., Jalaliyoon N., Exploratory factor analysis
dc.relation.referencesconcepts and theory, Advances in Applied and Pure Mathematics, 27, pp. 375-382, (2022)
dc.relation.referencesTan K.S., Chong S.C., Lin B., Eze U.C., Internet-based ICT adoption: evidence from Malaysian SMEs, Industrial Management and Data Systems, 109, 2, pp. 224-244, (2009)
dc.relation.referencesTan K.S., Chong S.C., Lin B., Eze U.C., Internet-based ICT adoption among SMEs: demographic versus benefits, barriers, and adoption intention, Journal of Enterprise Information Management, 23, 1, pp. 27-55, (2010)
dc.relation.referencesThakkar J., Kanda A., Deshmukh S.G., Interpretive structural modeling (ISM) of IT enablers for Indian manufacturing SMEs, Information Management and Computer Security, 16, 2, pp. 113-136, (2008)
dc.relation.referencesTortorella G.L., Saurin T.A., Hines P., Antony J., Samson D., Myths and facts of Industry 4.0, International Journal of Production Economics, 255, (2023)
dc.relation.referencesTrentin L., Tontini G., The influence of people management practices on a culture of lean manufacturing, Revista de Administração da UFSM, 15, 3, pp. 512-540, (2022)
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceInternational Journal of Procurement Management
dc.sourceInt. J. Procure. Manage.
dc.sourceScopus
dc.subjectCompanies
dc.subjectICT
dc.subjectInformation and communication technology
dc.subjectMetallurgy
dc.subjectSMEs
dc.subjectStatistical methods
dc.subjectSteel industry
dc.subjectCompanies
dc.subjectICT
dc.subjectInformation and communication technology
dc.subjectMetallurgy
dc.subjectSMEs
dc.subjectStatistical methods
dc.subjectSteel industry
dc.titleInformation technology and communication adoption in SMEs in the metal-mechanic sector: case of Bucaramanga and its metropolitan area, Colombia
dc.typeArticle
dc.type.localArtículo revisado por paresspa
dc.type.versioninfo:eu-repo/semantics/publishedVersion

Archivos

Colecciones