Identification of Barriers to and Opportunities for Adoption of Machine Vision for Small and Medium-sized Enterprises

M. S. Basar; L. Christiansen; P. D. Nannerup; M. Graugaard Antonsen

doi:10.1109/ETFA52439.2022.9921607

Identification of Barriers to and Opportunities for Adoption of Machine Vision for Small and Medium-sized Enterprises

M. S. Basar
, L. Christiansen
, P. D. Nannerup
, M. Graugaard Antonsen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution to proceeding › peer-review

Abstract

The digital transformation of industry, also known as Industry 4.0, relies on a range of technologies within manufacturing, data processing, and sensors. One of these technologies is machine vision, which allows real-time quality inspection. However, small and medium-sized enterprises struggle to adopt this technology. Hence, an overview of the potential barriers and opportunities of this technology is needed to create awareness of areas of concern for further adoption. This study identifies the barriers and opportunities through stakeholder interviews. The interviews are analyzed through Gioia methodology and are divided into sensing, seizing, and transformation barriers. Identifying these barriers can assist both practitioners and researchers in their future work to progress within the field.

Original language	English
Title of host publication	2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)
Number of pages	4
Publisher	IEEE
Publication date	2022
Pages	1-4
ISBN (Electronic)	978-1-6654-9996-5
DOIs	https://doi.org/10.1109/ETFA52439.2022.9921607
Publication status	Published - 2022
Event	ETFA 2022: 27th International Conference on Emerging Technologies and Factory Automation - University of Stuttgart, Stuttgard, Germany Duration: 6 Sept 2022 → 9 Nov 2022 Conference number: 27 https://2022.ieee-etfa.org/

Conference

Conference	ETFA 2022
Number	27
Location	University of Stuttgart
Country/Territory	Germany
City	Stuttgard
Period	06/09/22 → 09/11/22
Other	ETFA 2022 is the 27th Annual Conference of the IEEE Industrial Electronics Society (IES) focusing on the latest developments and new technologies in the field of industrial and factory automation. The conference aims to disseminate novel ideas and emerg...
Internet address	https://2022.ieee-etfa.org/

Access to Document

10.1109/ETFA52439.2022.9921607

https://ieeexplore.ieee.org/document/9921607/authors#authors

Cite this

@inproceedings{23a5d4166771474b977028f2c7a1f430,

title = "Identification of Barriers to and Opportunities for Adoption of Machine Vision for Small and Medium-sized Enterprises",

abstract = "The digital transformation of industry, also known as Industry 4.0, relies on a range of technologies within manufacturing, data processing, and sensors. One of these technologies is machine vision, which allows real-time quality inspection. However, small and medium-sized enterprises struggle to adopt this technology. Hence, an overview of the potential barriers and opportunities of this technology is needed to create awareness of areas of concern for further adoption. This study identifies the barriers and opportunities through stakeholder interviews. The interviews are analyzed through Gioia methodology and are divided into sensing, seizing, and transformation barriers. Identifying these barriers can assist both practitioners and researchers in their future work to progress within the field.",

author = "Basar, \{M. S.\} and L. Christiansen and Nannerup, \{P. D.\} and Antonsen, \{M. Graugaard\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; ETFA 2022 : 27th International Conference on Emerging Technologies and Factory Automation, ETFA 2022 ; Conference date: 06-09-2022 Through 09-11-2022",

year = "2022",

doi = "10.1109/ETFA52439.2022.9921607",

language = "English",

pages = "1--4",

booktitle = "2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)",

publisher = "IEEE",

url = "https://2022.ieee-etfa.org/",

}

Basar, MS, Christiansen, L, Nannerup, PD & Antonsen, MG 2022, Identification of Barriers to and Opportunities for Adoption of Machine Vision for Small and Medium-sized Enterprises. in 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, pp. 1-4, ETFA 2022, Stuttgard, Baden-Württemberg, Germany, 06/09/22. https://doi.org/10.1109/ETFA52439.2022.9921607

Identification of Barriers to and Opportunities for Adoption of Machine Vision for Small and Medium-sized Enterprises. / Basar, M. S.; Christiansen, L.; Nannerup, P. D. et al.
2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, 2022. p. 1-4.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution to proceeding › peer-review

TY - GEN

T1 - Identification of Barriers to and Opportunities for Adoption of Machine Vision for Small and Medium-sized Enterprises

AU - Basar, M. S.

AU - Christiansen, L.

AU - Nannerup, P. D.

AU - Antonsen, M. Graugaard

N1 - Conference code: 27

PY - 2022

Y1 - 2022

N2 - The digital transformation of industry, also known as Industry 4.0, relies on a range of technologies within manufacturing, data processing, and sensors. One of these technologies is machine vision, which allows real-time quality inspection. However, small and medium-sized enterprises struggle to adopt this technology. Hence, an overview of the potential barriers and opportunities of this technology is needed to create awareness of areas of concern for further adoption. This study identifies the barriers and opportunities through stakeholder interviews. The interviews are analyzed through Gioia methodology and are divided into sensing, seizing, and transformation barriers. Identifying these barriers can assist both practitioners and researchers in their future work to progress within the field.

AB - The digital transformation of industry, also known as Industry 4.0, relies on a range of technologies within manufacturing, data processing, and sensors. One of these technologies is machine vision, which allows real-time quality inspection. However, small and medium-sized enterprises struggle to adopt this technology. Hence, an overview of the potential barriers and opportunities of this technology is needed to create awareness of areas of concern for further adoption. This study identifies the barriers and opportunities through stakeholder interviews. The interviews are analyzed through Gioia methodology and are divided into sensing, seizing, and transformation barriers. Identifying these barriers can assist both practitioners and researchers in their future work to progress within the field.

UR - https://www.scopus.com/pages/publications/85141437502

U2 - 10.1109/ETFA52439.2022.9921607

DO - 10.1109/ETFA52439.2022.9921607

M3 - Conference contribution to proceeding

SP - 1

EP - 4

BT - 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)

PB - IEEE

T2 - ETFA 2022

Y2 - 6 September 2022 through 9 November 2022

ER -

Identification of Barriers to and Opportunities for Adoption of Machine Vision for Small and Medium-sized Enterprises

Abstract

Conference

Access to Document

Other files and links

Fingerprint