Internet of Things: Factors that influence its adoption among Chilean SMEs

Grandón, Elizabeth E.; Ibarra, Alejandro Aravena; Guzmán, Sergio Araya; Ramírez-Correa, Patricio; Alfaro-Peréz, Jorge

doi:10.23919/cisti.2018.8399183

Cited by 7 publications

(7 citation statements)

References 17 publications

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“…Performance expectancy is known as a pillar in different behavioral theories (Grand on et al, 2018;Venkatesh et al, 2012). In all of them, a predictor is considered to explain the behavior.…”

Section: Proposed Model and Justification Of Hypothesesmentioning

confidence: 99%

Do small- and medium-sized companies intend to use the Metaverse as part of their strategy? A behavioral intention analysis

Gil-Cordero,

Maldonado-López,

Ledesma-Chaves

et al. 2023

IJEBR

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PurposeThe purpose of the research is to analyze the factors that determine the intention of small- and medium-sized enterprises (SMEs) to adopt the Metaverse. For this purpose, the analysis of the effort expectancy and performance expectancy of the constructs in relation to business satisfaction is proposed.Design/methodology/approachThe analysis was performed on a sample of 182 Spanish SMEs in the technology sector, using a PLS-SEM approach for development. For the confirmation of the model and its results, an analysis with PLSpredict was performed, obtaining a high predictive capacity of the model.FindingsAfter the analysis of the model proposed in this research, it is recorded that the valuation of the effort to be made and the possible performance expected by the companies does not directly determine the intention to use immersive technology in their strategic behavior. Instead, the results obtained indicate that business satisfaction will involve obtaining information, reducing uncertainty and analyzing the competition necessary for approaching this new virtual environment.Originality/valueThe study represents one of the first approaches to the intention of business behavior in the development of performance strategies within Metaverse systems. So far, the literature has approached immersive systems from perspectives close to consumer behavior, but the study of strategic business behavior has been left aside due to the high degree of experimentalism of this field of study and its scientific approach. The present study aims to contribute to the knowledge of the factors involved in the intention to use the Metaverse by SMEs interested in this field.

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Section: Proposed Model and Justification Of Hypothesesmentioning

confidence: 99%

Do small- and medium-sized companies intend to use the Metaverse as part of their strategy? A behavioral intention analysis

Gil-Cordero,

Maldonado-López,

Ledesma-Chaves

et al. 2023

IJEBR

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“…According to the literature, the most used and validated model currently in organizations is TAM. Al-Momani et al, 2018Brous et al, 2020;Das, 2019;Grandon et al, 2018;Kao et al, 2019;Mital et al, 2018;Shaikh et al, 2019;Sivathanu, 2018).…”

Section: Characterization Of Smartmentioning

confidence: 99%

Smart University: a vision of technology adoption

Bautista

Guerrero

Collázos

et al. 2021

Rev. colomb. comput.

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Smart University is an emerging concept, strongly anchored to smart technologies and considered by different authors in the literature. Organizations, including universities, need to incorporate smart technologies to take advantage of their capabilities to transform their processes and drive them toward new organizational models. A Smart University focuses on improving its technological infrastructure for achieving its quality educational goals. This paper presents the integration of the key factors for adopting four smart technologies: Cloud Computing, Big Data, Artificial Intelligence, and the Internet of Things. This characterization and integration allow us to conclude on the need to align digital technologies with the organization's processes, requiring greater interaction with the company’s senior management.

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“…UTAUT and UTAUT2 have been used in a wide variety of studies to predict usage behavior or assess usage intention of information technology. Examples include two-factor authentication [6], smart payment cards [12], internet of things [19], gaming [24,27], Egovernment [16], social media [39,47] and robotic technology [43]. More recent researches [48,49] have shown that constructs and determinants of usage intention have changed with time and advancement in IT.…”

Section: Related Workmentioning

confidence: 99%

ITEval

Xinli

El-Said

Leidig

2020

Proceedings of the 21st Annual Conference on Information Technology Education

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We present a framework of an integrated model, referenced as ITEval, to comprehensively assess and quantitatively compare products of information technology. In this model, we assume that the adoption of technology by an organization is determined by user's willingness to use it, the total cost to own it and its environmental influence. Approaches to quantifying these factors are discussed. Different methods are proposed to analyze and integrate these determinants for assessment and comparison. An example study is employed to demonstrate its application.

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Internet of Things: Factors that influence its adoption among Chilean SMEs

Cited by 7 publications

References 17 publications

Do small- and medium-sized companies intend to use the Metaverse as part of their strategy? A behavioral intention analysis

Do small- and medium-sized companies intend to use the Metaverse as part of their strategy? A behavioral intention analysis

Smart University: a vision of technology adoption

ITEval

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