2022
DOI: 10.1177/21582440221094594
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Social Media and SMEs’ Performance in Developing Countries: Effects of Technological-Organizational-Environmental Factors on the Adoption of Social Media

Abstract: Increasing globalization and rapid digitization across industries have led to greater international competition. Furthermore, the emergence of new innovation has created both challenges and opportunities for small and medium-sized enterprises (SMEs). SMEs have recently been attracted to social media applications to reach a larger audience, improve their relationship with potential customers, and retain existing customers. However, the scant focus has been devoted to comprehensively understanding the adoption o… Show more

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Cited by 86 publications
(100 citation statements)
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“…There are two kinds of constructs: formative and reflective (Qalati et al, 2022b). Based on the definition of reflective constructs, the items of one reflective construct should be based on the same or similar content (Hair et al, 2013).…”
Section: Measurement Modelmentioning
confidence: 99%
“…There are two kinds of constructs: formative and reflective (Qalati et al, 2022b). Based on the definition of reflective constructs, the items of one reflective construct should be based on the same or similar content (Hair et al, 2013).…”
Section: Measurement Modelmentioning
confidence: 99%
“…We analyzed the standard method to assess the quality of the information, which could improve the relationships between variables when collected from the same source. The analysis applying Harman's single-factor test did not reveal that the variables were grouped into a single factor (Podsakoff and Organ, 1986), thus presenting no problems (Qalati et al, 2022).…”
Section: Methodsmentioning
confidence: 93%
“…We used a partial least square structural equation modeling (PLS-SEM) technique (PLS algorithm, bootstrapping, and blindfolding) using widely utilized SmartPLS software (Hair et al, 2019;Qalati et al, 2021). In addition, we preferred this software because it is the most comprehensive system of variance (Fang et al, 2021), it does not require a large sample size to run analysis, it is easy to use (Hair et al, 2019), and is recommended for testing complex model (Fan et al, 2021;Qalati et al, 2021;Qalati et al, 2022a;Qalati et al, 2022b). In addition, we employed a statistical package for social sciences for descriptive statistics and several other data cleansing tests such as Harman's single factors test for common method bias, Kaiser-Meyer-Olkin, and Bartlett's sample adequacy test for sample adequacy (Li et al, 2020).…”
Section: Discussionmentioning
confidence: 99%