# Predicting the motivators of telemedicine acceptance in COVID-19 pandemic using multiple regression and ANN approach

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/predicting-the-motivators-of-telemedicine-acceptance-in-covid-19-pandemic-using/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Manoranjan Dash,Preeti Y. Shadangi,Kamalakanta Muduli,Ashish Kr. Luhach,Aezeden Mohamed |
| Citations | 18 |
| DOI | 10.1080/09720510.2021.1875570 |
| Fields | Business, Management and Accounting,Decision Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3127863890 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Aezeden Mohamed](https://scholariq.org/researchers/aezeden-mohamed/)

## Paper primary topic

- [Impact of AI and Big Data on Business and Society](https://scholariq.org/topics/impact-of-ai-and-big-data-on-business-and-society/)

## Paper topics

- [Impact of AI and Big Data on Business and Society](https://scholariq.org/topics/impact-of-ai-and-big-data-on-business-and-society/)
- [Customer churn and segmentation](https://scholariq.org/topics/customer-churn-and-segmentation/)
- [Consumer Retail Behavior Studies](https://scholariq.org/topics/consumer-retail-behavior-studies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.