Employees’ acceptance of wearable devices
Towards a predictive model
Bibliographic Data
| ID | 21404423 |
|---|---|
| Authors | Domitilla Magni (0000-0001-5555-6004, Roma Tre University, corresponding author), Veronica Scuotto (0000-0002-0202-4378, Pôle Léonard de Vinci), Alberto Pezzi (Roma Tre University), Manlio Del Giudice (0000-0002-2389-4495, Paris School of Business) |
| Year | 2021 |
| Volume | 172 |
| Pages | 121022 |
| Publication date | 2021-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technological Forecasting and Social Change (JOURNAL) |
| Journal identifiers | ISSN: 0040-1625 • E-ISSN: 1873-5509 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techfore.2021.121022 |
| OpenAlex | W3184432716 |
| Language | EN |
| Citations received | 7 |
| References cited | 68 |
Analytics · Business · Business Intelligence · Business model · Data science · Digital transformation · Human–computer interaction · Knowledge management · Predictive analytics · Sample (material) · Technology Acceptance Model · Wearable computer · Wearable technology · World Wide Web · Computer Science · Consumer Retail Behavior Studies · Digital Marketing and Social Media · Marketing · Psychology · Technology Adoption and User Behaviour
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| Unique citing works | 7 |
|---|---|
| Citations per year | 1,75 |
| Citation span | 2022 - 2025 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 7 |