Empirical studies
| Reference | Study context | Actors discussed/involved in the study | Method |
|---|---|---|---|
| Andersson et al. (2014) | IoT in the automotive industry | Car manufacturer (Volvo Cars), technology provider (Ericsson), mobile operator (AT&T), third-party service provider (Linas Matkasse) | Empirical illustration – connected vehicle case |
| Dellyana et al. (2018) | Music streaming platform, fashion e-commerce, a web-hosting company | Each of the network’s focal firms and partners | Multiple case study design |
| Ghanbari et al. (2017) | IoT for smart cities | Advertising company, end-user, telecommunication equipment vendor, transport operator | Use cases in smart city |
| Gordijn et al. (2000) | E-commerce | Surfer, Internet provider, peering provider | Empirical illustration – free Internet access service |
| Harmon and Castro-Leon (2018) | Cloud services (artificial intelligence, flying drone, health) | Legacy software firm, a solution provider in the IoT sector, a cloud platform provider | Three empirical illustrations – the process of migration from goods-dominant to cloud-based services |
| Heikkilä and Heikkilä (2010) | Manufacturing machinery, business information system and services, and telecom services | A network of three global publicly listed companies and three research and funding partners | Action research study |
| Ikävalko et al. (2018) | IoT open innovation ecosystems in a smart city context | Different actors: ideators (end-users), intermediaries (public service providers, tech companies), or designers (app developers) | Multiple case study design |
| Jekov et al. (2017) | IoT context | Start-ups in IoT domain based on the use of big data, machine learning and artificial intelligence | Empirical illustration of start-ups – acquired and stand-alone |
| Komulainen et al. (2006) | M-advertising | Description of actors involved: app and content providers, MNOs, device manufacturers etc | Scenario planning |
| Laya et al. (2018) | Connected devices in the context of health, social care, and wellbeing | A focal company with different associating actors in the network for each of the discussed cases | Multiple case study design |
| Leminen et al. (2018) | IoT context | Focal company in each of the discussed cases | Literature review and multiple case study |
| Markendahl et al. (2017) | IoT context | Partner companies, municipality representatives, employer organizations etc | Multiple case study |
| Palo and Tähtinen (2013) | Ubiquitous infrastructure service | Device manufacturer, media broker, operator, non-profit development | Case study |
| Palo and Tähtinen (2011) | Ubiquitous, technology-based service | Suppliers, partners, competitors, customers | Scenario planning |
| Suherman and Simatupang (2017) | Cloud computing | Firms using and providing the cloud | Single case study – the adoption of cloud computing |
| Turber et al. (2014) | IoT context | Focal company (Nest Labs) and its collaborators (partners, end-customers, and remaining stakeholders) | Empirical illustration – connected thermostat case |
| van der Borgh et al. (2012) | Knowledge-based ecosystem | Mostly technology companies, investors, research institutes etc | Single case study – high tech campus in Eindhoven |
| Study context | Actors discussed/involved in the study | Method | |
|---|---|---|---|
| IoT in the automotive industry | Car manufacturer (Volvo Cars), technology provider (Ericsson), mobile operator (AT&T), third-party service provider (Linas Matkasse) | Empirical illustration – connected vehicle case | |
| Music streaming platform, | Each of the network’s focal firms and partners | Multiple case study design | |
| IoT for smart cities | Advertising company, end-user, telecommunication equipment vendor, transport operator | Use cases in smart city | |
| E-commerce | Surfer, Internet provider, peering provider | Empirical illustration – free Internet access service | |
| Cloud services | Legacy software firm, a solution provider in the IoT sector, a cloud platform provider | Three empirical illustrations – the process of migration from goods-dominant to cloud-based services | |
| Manufacturing machinery, business information system and services, and telecom services | A network of three global publicly listed companies and three research and funding partners | Action research study | |
| IoT open innovation ecosystems in a smart city context | Different actors: ideators (end-users), intermediaries (public service providers, tech companies), or designers (app developers) | Multiple case study design | |
| IoT context | Start-ups in IoT domain based on the use of big data, machine learning and artificial intelligence | Empirical illustration of start-ups – acquired and stand-alone | |
| M-advertising | Description of actors involved: app and content providers, MNOs, device manufacturers etc | Scenario planning | |
| Connected devices in the context of health, social care, and wellbeing | A focal company with different associating actors in the network for each of the discussed cases | Multiple case study design | |
| IoT context | Focal company in each of the discussed cases | Literature review and | |
| IoT context | Partner companies, municipality representatives, employer organizations etc | Multiple case study | |
| Ubiquitous infrastructure service | Device manufacturer, media broker, operator, non-profit development | Case study | |
| Ubiquitous, technology-based service | Suppliers, partners, competitors, customers | Scenario planning | |
| Cloud computing | Firms using and providing the cloud | Single case study – the adoption of cloud computing | |
| IoT context | Focal company (Nest Labs) and its collaborators (partners, end-customers, and remaining stakeholders) | Empirical illustration – connected thermostat case | |
| Knowledge-based ecosystem | Mostly technology companies, investors, | Single case study – high tech campus in Eindhoven |
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