Modelado de la iniciativa empresarial de medios en las redes sociales: enfoque SEM y MLP-ANN

Arbatani, Taher Roshandel; Kawamorita, Hiroko; Ghanbary, Saeid; Ebrahimi, Pejman

doi:10.17230/ad-minister.34.2

Cited by 10 publications

(5 citation statements)

References 35 publications

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“…The convergent validity of the model was examined with outer loadings. Some researchers consider the value of over 0.4 for outer loadings to be a convergence validity (Hair et al, 2019;Kelidbari et al, 2016;Roshandel-Arbatani et al, 2019). Outer loadings of all research items are above 0.4, and therefore their validity is confirmed.…”

Section: Analysis and Resultsmentioning

confidence: 99%

The effect of internal branding on organisational financial performance and brand loyalty: mediating role of psychological empowerment

Soleimani

Dana

Salamzadeh

et al. 2022

JABES

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PurposeThis study explores the effect of internal branding on organisational financial performance and brand loyalty with the mediating role of psychological empowerment.Design/methodology/approachThe data gathered from 200 Pasargad insurance employees in Iran were analysed. Structural Equation Modelling and R were used to evaluate the model. Financial performance was measured by four Concepts (ROI, ROE, Sales growth, ROA) based on available data from March 2010 to March 2020.FindingsThe results revealed that internal branding and psychological empowerment have no significant effect on financial performance, but both have a significant positive effect on brand loyalty. Likewise, the mediating role of psychological empowerment on the subject of the impact of internal branding on brand loyalty was confirmed. Furthermore, psychological empowerment did not play a mediating role in the impact of internal branding on financial performance.Research limitations/implicationsThe findings of this study could be important for managers of organisations active in the insurance industry to highlight internal branding and enhance psychological empowerment and employee brand loyalty. Moreover, managers' perception of the effective role of psychological empowerment to enhance employee brand loyalty is another practical aspect of this research.Originality/valueConsidering the mediating role of psychological empowerment to the effect of internal branding on financial performance and brand loyalty is an innovative aspect of the present study. Meanwhile, the use of R software for VB-SEM was another point to surge the value of this paper.

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Section: Analysis and Resultsmentioning

confidence: 99%

The effect of internal branding on organisational financial performance and brand loyalty: mediating role of psychological empowerment

Soleimani

Dana

Salamzadeh

et al. 2022

JABES

View full text Add to dashboard Cite

show abstract

“…To give a simpler predictive model that can be easily interpreted, an MLR model was employed based on the output from the ANN. This approach of fusing SEM with ML is gradually gaining popularity in survey studies due to its ability to give more robustness in data analysis and prediction (Albahri et al, 2022;Alkawsi et al, 2021;Arbatani et al, 2019). Figure 2 provides an overview of the research method adopted.…”

Section: Methodsmentioning

confidence: 99%

Determinants of cloud computing deployment in South African construction organisations using structural equation modelling and machine learning technique

Aghimien

Aigbavboa²,

Chan³

et al. 2022

ECAM

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PurposeThis paper presents the findings from the assessment of the determinants of cloud computing (CC) deployment by construction organisations. Using the technology-organisation-environment (TOE) framework, the study strives to improve construction organisations' project delivery and digital transformation by adopting beneficial technologies like CC.Design/methodology/approachThis study adopted a post-positivism philosophical stance using a deductive approach with a questionnaire administered to construction organisations in South Africa. The data gathered were analysed using descriptive and inferential statistics. Also, the fusion of structural equation modelling (SEM) and machine learning (ML) regression models helped to gain a robust understanding of the key determinants of using CC.FindingsThe study found that the use of CC by construction organisations in South Africa is still slow. SEM indicated that this slow usage is influenced by six technology and environmental factors, namely (1) cost-effectiveness, (2) availability, (3) compatibility, (4) client demand, (5) competitors' pressure and (6) trust in cloud service providers. ML models developed affirmed that these variables have high predictive power. However, sensitivity analysis revealed that the availability of CC and CC's ancillary technologies and the pressure from competitors are the most important predictors of CC usage in construction organisations.Originality/valueThe paper offers a theoretical backdrop for future works on CC in construction, particularly in developing countries where such a study has not been explored.

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“…In addition, there are limitations in handling qualitative information (Li & Xiong, 2005), and the perceptron cannot identify linearly inseparable data (Chang et al, 2022). NNs assume the tuning of a few hyperparameters (Roshandel-Arbatani et al, 2019) and are sensitive to scaling (Khansari et al, 2022). Lastly, they cannot forecast the financial situation of markets without information classification (Naveed et al, 2023).…”

Section: End Of Tablementioning

confidence: 99%

Effect of Health System Performance on Volatility During the Covid-19 Pandemic: A Neural Network Approach

Gheorghe,

Panazan

2024

Journal of Business Economics and Management

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The study proposes an assessment of the link between the performance of national health systems and volatility during the COVID-19 pandemic. Data from the World Health Organization was accessed regarding the Global Health Security Index of the states considered in the analysis as well as the categories based on which it is determined. To characterise volatility, a representative stock market index was considered for each of the 60 states analysed. Data processing was carried out using an artificial neural network. The main results show that: i) before the pandemic, the link between market volatility and the performance of national health systems was weak; ii) during the pandemic, the connection between the two variables is much stronger; iii) between the six categories that define the Global Health Security Index, norms, health, and prevention had the greatest influence on volatility.

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Modelado de la iniciativa empresarial de medios en las redes sociales: enfoque SEM y MLP-ANN

Cited by 10 publications

References 35 publications

The effect of internal branding on organisational financial performance and brand loyalty: mediating role of psychological empowerment

The effect of internal branding on organisational financial performance and brand loyalty: mediating role of psychological empowerment

Determinants of cloud computing deployment in South African construction organisations using structural equation modelling and machine learning technique

Effect of Health System Performance on Volatility During the Covid-19 Pandemic: A Neural Network Approach

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