An Ecosystem Approach To Iot Adoption In Agriculture: A Multiple-Case Study

Cevdet Bulut; Philip Fei Wu

An Ecosystem Approach To Iot Adoption In Agriculture: A Multiple-Case Study

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

In this TREO paper, we present preliminary findings from our ongoing research on the adoption of the Internet of Things (IoT) technologies within the agricultural sector. The study is based on multiple exploratory case studies in four countries (Greece, Italy, Serbia, and Türkiye). These cases show how the diffusion of IoT innovations unfolds within diverse geographical, socio-economic, and legal contexts. Our preliminary findings underscore the early stage of the innovation ecosystem formation within the IoT market for agriculture, which is often fragmented, loosely coupled, and ephemeral. This necessitates that companies strategise effectively, aligning their approaches with the evolving and, in some cases, yet-to-emerge IoT ecosystem to ensure the success of their IoT-driven agricultural ventures.

Original language	English
Title of host publication	32nd European Conference on Information Systems (ECIS 2024)
Publisher	Association for Information Systems (AIS)
Number of pages	4
Publication status	Published - 25 May 2024
Event	32nd European Conference on Information Systems - Paphos, Cyprus Duration: 13 Jun 2024 → 19 Jun 2024 Conference number: 32 https://ecis2024.eu/

Conference

Conference	32nd European Conference on Information Systems
Abbreviated title	ECIS 2024
Country/Territory	Cyprus
City	Paphos
Period	13/06/24 → 19/06/24
Internet address	https://ecis2024.eu/

Keywords

Internet of things (IoT)
Smart agriculture
Innovation ecosystem
Multiple case study

Access to Document

Accepted manuscriptAccepted author manuscript, 184 KB

https://aisel.aisnet.org/treos_ecis2024/27/

1 Doctoral Thesis

Emerging Agricultural IoT Ecosystems and Strategic Archetypes: A Cross-Country Multiple Case Study
Bulut, C., 2026, (Unpublished) 240 p.
Research output: Thesis › Doctoral Thesis

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Cite this

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title = "An Ecosystem Approach To Iot Adoption In Agriculture: A Multiple-Case Study",

abstract = "In this TREO paper, we present preliminary findings from our ongoing research on the adoption of the Internet of Things (IoT) technologies within the agricultural sector. The study is based on multiple exploratory case studies in four countries (Greece, Italy, Serbia, and T{\"u}rkiye). These cases show how the diffusion of IoT innovations unfolds within diverse geographical, socio-economic, and legal contexts. Our preliminary findings underscore the early stage of the innovation ecosystem formation within the IoT market for agriculture, which is often fragmented, loosely coupled, and ephemeral. This necessitates that companies strategise effectively, aligning their approaches with the evolving and, in some cases, yet-to-emerge IoT ecosystem to ensure the success of their IoT-driven agricultural ventures.",

keywords = "Internet of things (IoT), Smart agriculture, Innovation ecosystem, Multiple case study",

author = "Cevdet Bulut and Wu, \{Philip Fei\}",

year = "2024",

month = may,

day = "25",

language = "English",

booktitle = "32nd European Conference on Information Systems (ECIS 2024)",

publisher = "Association for Information Systems (AIS)",

note = "32nd European Conference on Information Systems, ECIS 2024 ; Conference date: 13-06-2024 Through 19-06-2024",

url = "https://ecis2024.eu/",

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T1 - An Ecosystem Approach To Iot Adoption In Agriculture

T2 - 32nd European Conference on Information Systems

AU - Bulut, Cevdet

AU - Wu, Philip Fei

N1 - Conference code: 32

PY - 2024/5/25

Y1 - 2024/5/25

N2 - In this TREO paper, we present preliminary findings from our ongoing research on the adoption of the Internet of Things (IoT) technologies within the agricultural sector. The study is based on multiple exploratory case studies in four countries (Greece, Italy, Serbia, and Türkiye). These cases show how the diffusion of IoT innovations unfolds within diverse geographical, socio-economic, and legal contexts. Our preliminary findings underscore the early stage of the innovation ecosystem formation within the IoT market for agriculture, which is often fragmented, loosely coupled, and ephemeral. This necessitates that companies strategise effectively, aligning their approaches with the evolving and, in some cases, yet-to-emerge IoT ecosystem to ensure the success of their IoT-driven agricultural ventures.

AB - In this TREO paper, we present preliminary findings from our ongoing research on the adoption of the Internet of Things (IoT) technologies within the agricultural sector. The study is based on multiple exploratory case studies in four countries (Greece, Italy, Serbia, and Türkiye). These cases show how the diffusion of IoT innovations unfolds within diverse geographical, socio-economic, and legal contexts. Our preliminary findings underscore the early stage of the innovation ecosystem formation within the IoT market for agriculture, which is often fragmented, loosely coupled, and ephemeral. This necessitates that companies strategise effectively, aligning their approaches with the evolving and, in some cases, yet-to-emerge IoT ecosystem to ensure the success of their IoT-driven agricultural ventures.

KW - Internet of things (IoT)

KW - Smart agriculture

KW - Innovation ecosystem

KW - Multiple case study

M3 - Conference contribution

BT - 32nd European Conference on Information Systems (ECIS 2024)

PB - Association for Information Systems (AIS)

Y2 - 13 June 2024 through 19 June 2024

ER -

An Ecosystem Approach To Iot Adoption In Agriculture: A Multiple-Case Study

Abstract

Conference

Keywords

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Research output

Emerging Agricultural IoT Ecosystems and Strategic Archetypes: A Cross-Country Multiple Case Study

Cite this