Abstract

Every emerging technology has its pros and cons; health-conscious users pay more importance to healthy and environment-friendly technologies. Based on the UTAUT2 model, we proposed a comprehensive novel model to study the factors influencing consumers’ decision-making to adopt the technology. Compared to prior studies that focused on linear models to investigate consumers’ technology adoption intentions and use behavior. This study used a Structural Equation Modeling-fuzzy set qualitative comparative analysis (SEM-fsQCA) approach to account for the complexity of customers’ decision-making processes in adopting new technology. We collected valid responses from 830 consumers, analyzed them, and evaluated them using a deep learning SEM-fsQCA technique to capture symmetric and asymmetric relations between variables. We have extensively incorporated a health-consciousness attitude as a predictor and mediator to understand better the decision-making toward technology adoption, specifically 5G technology. All the factors tested in our model are statistically significant except the economic factors. Health-consciousness attitude (HCA) and behavioral intention (BI) found significant predictors and valid mediators in the process of 5G technology adoption. FsQCA provided six configurations to achieve high 5G adoption. The findings have significant practical ramifications for telecom corporations, advertisers, government officials, and key policymakers. Additionally, the study added substantial theoretical literature to technology adoption, particularly the adoption of 5G technology.

Highlights

  • Every innovation and technology comes up with its positive and negative aspects

  • Structural equation modeling results at the first stage presented that Health consciousness attitude (HCA), Intrinsic factors (IF), psychological factors, social factors, and behavioral intention (BI) are statistically significant, except economic factors (EF), which is not statistically significant to 5G technology adoption (TA)

  • This study investigates the relationship between the key factors of 5G technology adoption using both the structural equation model (SEM) and the fuzzy set qualitative comparative analysis (fsQCA)

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Summary

INTRODUCTION

Every innovation and technology comes up with its positive and negative aspects. Some innovations/technologies are eco-friendly, while others cause unrecoverable damage to the ecosystem and human health. Structural equation modeling results at the first stage presented that Health consciousness attitude (HCA), Intrinsic factors (IF), psychological factors, social factors, and behavioral intention (BI) are statistically significant, except economic factors (EF), which is not statistically significant to 5G technology adoption (TA). To investigate how users adopt 5G technology and how intrinsic, physiological, social, economic factors, behavioral intention, and Health consciousness attitude influence their decision making. About cellular technologies, people have mix opinion some treat it as green innovation while others talk about radiation generate to stimulate the signals Based on these findings of previous studies we hypothesize that: H6: Health consciousness attitude is positively associated with 5G technology adoption. We hypothesize that: H9: Health consciousness attitude mediates the relationship between Intrinsic (a), psychological (b), social (c), and economic (d) factors and 5G technology adoption. We believe that: H10: Behavioral intention mediates the relationship between Intrinsic (a), psychological (b), social (c), and economic (d) factors and 5G technology adoption

METHODOLOGY
DISCUSSION
Limitations and Future
Findings
DATA AVAILABILITY STATEMENT
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