Modeling Trust Decision-Making of Indonesian Food and Beverage SME Groups in the Adoption of Industry 4.0

Ushada, Mirwan; Trapsilawati, Fitri; Amalia, Rosa; Putro, Nur Achmad Sulistyo

doi:10.1080/01969722.2022.2122011

Cited by 8 publications

(8 citation statements)

References 29 publications

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“…The studies and discussions on the use of I4 in the food sectors in particular have been reported in the literature [ 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 ,…”

Section: Resultsmentioning

confidence: 99%

“…There have been increasing numbers of countries employing I4 in their food agricultural activities to cost-effectively supply the increasing demand for food among their increasing population sizes ( Figure 8 a). The following papers [ 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , …”

Section: Discussionmentioning

confidence: 99%

“…The topics of Agriculture-Industry 4.0 (I4) [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 ] and Foods-I4 [ 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 ,…”

Section: Introductionunclassified

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A Conceptual Model Relationship between Industry 4.0—Food-Agriculture Nexus and Agroecosystem: A Literature Review and Knowledge Gaps

Yap,

Al-Mutairi

2024

Foods

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With the expected colonization of human daily life by artificial intelligence, including in industry productivity, the deployment of Industry 4.0 (I4) in the food agriculture industry (FAI) is expected to revolutionize and galvanize food production to increase the efficiency of the industry’s production and to match, in tandem, a country’s gross domestic productivity. Based on a literature review, there have been almost no direct relationships between the I4—Food-Agriculture (I4FA) Nexus and the agroecosystem. This study aimed to evaluate the state-of-the-art relationships between the I4FA Nexus and the agroecosystem and to discuss the challenges in the sustainable FAI that can be assisted by the I4 technologies. This objective was fulfilled by (a) reviewing all the relevant publications and (b) drawing a conceptual relationship between the I4FA Nexus and the agroecosystem, in which the I4FA Nexus is categorized into socio-economic and environmental (SEE) perspectives. Four points are highlighted in the present review. First, I4 technology is projected to grow in the agricultural and food sectors today and in the future. Second, food agriculture output may benefit from I4 by considering the SEE benefits. Third, implementing I4 is a challenging journey for the sustainable FAI, especially for the small to medium enterprises (SMEs). Fourth, environmental, social, and governance (ESG) principles can help to manage I4’s implementation in agriculture and food. The advantages of I4 deployment include (a) social benefits like increased occupational safety, workers’ health, and food quality, security, and safety; (b) economic benefits, like using sensors to reduce agricultural food production costs, and the food supply chain; and (c) environmental benefits like reducing chemical leaching and fertilizer use. However, more studies are needed to address social adaptability, trust, privacy, and economic income uncertainty, especially in SMEs or in businesses or nations with lower resources; this will require time for adaptation to make the transition away from human ecology. For agriculture to be ESG-sustainable, the deployment of I4FA could be an answer with the support of an open-minded dialogue platform with ESG-minded leaders to complement sustainable agroecosystems on a global scale.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionunclassified

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A Conceptual Model Relationship between Industry 4.0—Food-Agriculture Nexus and Agroecosystem: A Literature Review and Knowledge Gaps

Yap,

Al-Mutairi

2024

Foods

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“…Future research might further investigate the role of digital literacy training programs and government policies in facilitating e-commerce adoption among SMEs. Ushada et al (2024) delve into the trust decision-making process of Indonesian food and beverage SMEs in adopting Industry 4.0 technologies. By modeling trust factors, this research sheds light on the psychological and social dimensions influencing technology adoption, offering a novel angle on the challenges of digital transformation.…”

Section: Literature Reviewmentioning

confidence: 99%

Companies with at least 10 Employees Selling Online across the Italian Regions

Leogrande

2024

SSRN Journal

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“…Use case ini menggunakan studi kasus perancangan dan pengembangan jasa, yaitu Café dan Show Window Pusat Inovasi Agroteknologi (PIAT) Universitas Gadjah Mada (UGM). Metode REKDAS digunakan untuk seleksi atribut mutu yang dikustomisasi untuk layanan dine-in, delivery, take-away [11]. Data Kansei yang digunakan adalah atribut preferensi konsumen serta tingkat kecemasan, keakraban, dan kepercayaan terhadap berbagai faktor yang berpengaruh dalam era tatanan kehidupan baru.…”

Section: Use Case 2: Kustomisasi Atribut Mutu Jasa Layananunclassified

Metode Rekayasa Kansei Cerdas untuk Reka Cipta Produk, Jasa, dan Sistem Kerja Agroindustri

Ushada¹

2023

Prosiding Use Cases Artificial Intelligence Indonesia: Embracing Collaboration for Research and Industrial Innovation in Artifi

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Agroindustri telah berkontribusi secara signifikan terhadap ekonomi sirkular dan ketahanan pangan selama disrupsi ketidakpastian, seperti krisis ekonomi 1998 dan pandemi COVID-19 tahun 2020 dan 2021. Tantangan yang dihadapi agroindustri adalah (1) desain produk dan jasa yang harus beradaptasi secara berkelanjutan terhadap kebutuhan konsumen yang bersifat dinamis dan penuh ketidakpastian, (2) desain teknologi kerja yang ergonomis dan nyaman bagi sumber daya manusia manajer dan pekerja, serta (3) berbagai macam disrupsi yang berpotensi merubah tatanan kehidupan baru, seperti pandemi COVID-19. Untuk dapat beradaptasi secara berkelanjutan, agroindustri harus rutin melakukan inovasi. Reka cipta atau dikenal dengan invensi, sebagai bagian dari inovasi telah memberikan solusi di era tatanan kehidupan baru dengan menghasilkan luaran berupa produk sebagai bentuk adaptasi berkelanjutan terhadap disrupsi ketidakpastian. Inovasi didefinisikan sebagai gabungan dari invensi dan hilirisasi. Metode rekayasa Kansei cerdas merupakan perpaduan dari metode rekayasa Kansei dan kecerdasan artifisial yang digunakan untuk aplikasi reka cipta di agroindustri. Rekayasa Kansei digunakan untuk mengidentifikasi kebutuhan konsumen secara presisi, sedangkan kecerdasan artifisial digunakan untuk memodelkan kebutuhan yang dibatasi kendala tantangan disrupsi ketidakpastian. Bab ini memaparkan use cases reka cipta produk, jasa, sistem kerja, dan standardisasi metodenya di agroindustri.

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Modeling Trust Decision-Making of Indonesian Food and Beverage SME Groups in the Adoption of Industry 4.0

Cited by 8 publications

References 29 publications

A Conceptual Model Relationship between Industry 4.0—Food-Agriculture Nexus and Agroecosystem: A Literature Review and Knowledge Gaps

A Conceptual Model Relationship between Industry 4.0—Food-Agriculture Nexus and Agroecosystem: A Literature Review and Knowledge Gaps

Companies with at least 10 Employees Selling Online across the Italian Regions

Metode Rekayasa Kansei Cerdas untuk Reka Cipta Produk, Jasa, dan Sistem Kerja Agroindustri

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