Design, Adaptation, and Validation of a Digital Marketing Instrument in SMEs

Measuring digital marketing will help evaluate the impact of strategies, increased sales, customer acquisition, and customer retention. This research aims to design, adapt, and validate a scale measuring Digital Marketing in Small and Medium Enterprises. Results were structured as follows: To start,...

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Autores principales: Haro-Zea, Karla Liliana, Ovalle Osuna, Óscar Omar, Diaz Saavedra, Robin Alexander, Millones Liza, Dany Yudet
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Publicado: 2024
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author Haro-Zea, Karla Liliana
Ovalle Osuna, Óscar Omar
Diaz Saavedra, Robin Alexander
Millones Liza, Dany Yudet
author_browse Diaz Saavedra, Robin Alexander
Haro-Zea, Karla Liliana
Millones Liza, Dany Yudet
Ovalle Osuna, Óscar Omar
author_facet Haro-Zea, Karla Liliana
Ovalle Osuna, Óscar Omar
Diaz Saavedra, Robin Alexander
Millones Liza, Dany Yudet
author_sort Haro-Zea, Karla Liliana
collection Producción científica
description Measuring digital marketing will help evaluate the impact of strategies, increased sales, customer acquisition, and customer retention. This research aims to design, adapt, and validate a scale measuring Digital Marketing in Small and Medium Enterprises. Results were structured as follows: To start, a thorough literature review was carried out. Subsequently, a panel of 6 marketing experts was made, who evaluated the content. Additionally, data collection was carried out with 711 collaborators from the strategic area of SMEs. As well as, exploratory and confirmatory factor analysis was carried out, obtaining a KMO of 0.95, with a variance of 85.80% in three factors, with factor weights greater than 0.5. The values of the goodness-of-fit index are as follows: residual root mean square (RMS) =0.047; goodness-of-fit index (GFI) = 0.876; adjusted goodness-of-fit index (AGPI) =0.825; comparative fit index (CFI) =0.956; Tucker-Lewis index (TLI) =0.945; normalized fit index (NFI) = 0.945; incremental fit index (IFI) = 0.950 and root mean square residual (RMSEA) =0.072. These values imply an acceptable fit for which the model is adequate, and the scale is valid. Received: 3 March 2024 / Accepted: 22 August 2024 / Published: 05 September 2024
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spelling oai:cris.upeu.edu.pe:20.500.15037/13872026-10-30T16:15:43ZDesign, Adaptation, and Validation of a Digital Marketing Instrument in SMEsHaro-Zea, Karla LilianaOvalle Osuna, Óscar OmarDiaz Saavedra, Robin AlexanderMillones Liza, Dany Yudetscaledigital marketingSMEsMeasuring digital marketing will help evaluate the impact of strategies, increased sales, customer acquisition, and customer retention. This research aims to design, adapt, and validate a scale measuring Digital Marketing in Small and Medium Enterprises. Results were structured as follows: To start, a thorough literature review was carried out. Subsequently, a panel of 6 marketing experts was made, who evaluated the content. Additionally, data collection was carried out with 711 collaborators from the strategic area of SMEs. As well as, exploratory and confirmatory factor analysis was carried out, obtaining a KMO of 0.95, with a variance of 85.80% in three factors, with factor weights greater than 0.5. The values of the goodness-of-fit index are as follows: residual root mean square (RMS) =0.047; goodness-of-fit index (GFI) = 0.876; adjusted goodness-of-fit index (AGPI) =0.825; comparative fit index (CFI) =0.956; Tucker-Lewis index (TLI) =0.945; normalized fit index (NFI) = 0.945; incremental fit index (IFI) = 0.950 and root mean square residual (RMSEA) =0.072. These values imply an acceptable fit for which the model is adequate, and the scale is valid. Received: 3 March 2024 / Accepted: 22 August 2024 / Published: 05 September 2024Articlehttps://www.richtmann.org/journal/index.php/ajis/article/download/14001/13569http://dx.doi.org/10.36941/ajis-2024-015510.36941/ajis-2024-0155https://hdl.handle.net/20.500.15037/1387W4402324529enAcademic Journal of Interdisciplinary Studies2281-39932281-46122024-09-052026-06-13T09:56:39Z2026-06-13T09:56:39Z
spellingShingle scale
digital marketing
SMEs
Haro-Zea, Karla Liliana
Ovalle Osuna, Óscar Omar
Diaz Saavedra, Robin Alexander
Millones Liza, Dany Yudet
Design, Adaptation, and Validation of a Digital Marketing Instrument in SMEs
title Design, Adaptation, and Validation of a Digital Marketing Instrument in SMEs
title_full Design, Adaptation, and Validation of a Digital Marketing Instrument in SMEs
title_fullStr Design, Adaptation, and Validation of a Digital Marketing Instrument in SMEs
title_full_unstemmed Design, Adaptation, and Validation of a Digital Marketing Instrument in SMEs
title_short Design, Adaptation, and Validation of a Digital Marketing Instrument in SMEs
title_sort design adaptation and validation of a digital marketing instrument in smes
topic scale
digital marketing
SMEs
topic_facet scale
digital marketing
SMEs
url https://www.richtmann.org/journal/index.php/ajis/article/download/14001/13569
http://dx.doi.org/10.36941/ajis-2024-0155
https://hdl.handle.net/20.500.15037/1387
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AT ovalleosunaoscaromar designadaptationandvalidationofadigitalmarketinginstrumentinsmes
AT diazsaavedrarobinalexander designadaptationandvalidationofadigitalmarketinginstrumentinsmes
AT milloneslizadanyyudet designadaptationandvalidationofadigitalmarketinginstrumentinsmes