Forecasting blockchain adoption in supply chains based on machine learning: evidence from Palestinian food SMEs

Hamdan, Ihab K. A.; Wulamu, Aziguli; Zhang, Dezheng; Sumarliah, Eli; Usmanova, Kamila

doi:10.1108/bfj-05-2021-0535

Cited by 25 publications

(25 citation statements)

References 34 publications

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“…This concept is a key motivator for the acceptance and use of modern technologies. Therefore, perceived usefulness has an impact on compatibility when adopting the system (Hamdan et al, 2022). Meanwhile, according to several prior studies, perceived usefulness has a considerable impact on behavioral intentions (Amoako-Gyampah, 2007;Tung et al, 2009;Dohan and Tan, 2013;Hess et al, 2014).…”

Section: Perceived Usefulnessmentioning

confidence: 95%

Unlocking the potential of blockchain technology in China’s supply chain: a survey of industry professionals

Farooq,

Shahzad,

Guan

et al. 2024

JEPP

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PurposeThis study aims to identify the essential elements impacting the adoption of blockchain technology (BCT) in supply chain management (SCM) by integrating the technology acceptance and information system success (ISS) models.Design/methodology/approachQuestionnaire-based data was collected from 236 supply chain professionals from Beijing. The proposed research framework was evaluated using structural equation modeling (SEM) by using SPSS 23 and AMOS 24 software.FindingsThe empirical findings specify the positive influence of total quality on perceived usefulness and compatibility. Further, perceived ease of use positively influences perceived usefulness, compatibility and behavioral intention. Moreover, perceived usefulness positively impacts compatibility and behavioral intention. Compatibility positively influences behavioral intention. Finally, technology trust was found to be a significant moderator between perceived usefulness and behavioral intention and between perceived ease of use and adoption intention to use BCT in SCM.Originality/valueThis study empirically develops the second-order construct of total quality, representing the ISS model. Furthermore, this study established how the ISS and technology acceptance models influence behavioral intention through compatibility. Finally, this study confirmed the moderating role of technology trust among perceived ease of use, perceived usefulness and behavioral intention.

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Section: Perceived Usefulnessmentioning

confidence: 95%

Unlocking the potential of blockchain technology in China’s supply chain: a survey of industry professionals

Farooq,

Shahzad,

Guan

et al. 2024

JEPP

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show abstract

“…ANN is capable of tackling nonlinear relationships and learning by constructing output-input diagramming . The main advantage of using ANN is to gauge the complex non-linear and linear correlations among determining factors and the adoption intention and to rank the determinants according to comparative significance (Hamdan et al, 2022b;. Further, ANN provides stronger and superior forecasting precision than the typical regression methods such as SEM (Hamdan et al, 2022b;.…”

Section: Machine Learning Assessmentmentioning

confidence: 99%

The Impact of Cloud Computing Adoption on Firm Performance Among SMEs in Palestine

Mousa,

Zhang,

Sumarliah

et al. 2024

International Journal of Intelligent Information Technologies

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This study seeks to identify the driving factors of cloud computing adoption (CCA) among SMEs, and examines the extent to which CCA shape SME performance. Data was gathered from 212 Halal SMEs in Palestine. This study uses a two-phase investigative method to test the research model through integrating structural equation modeling (SEM) and machine learning. SEM findings show that perceived benefit, facilitating states, server location, perceived cost, upper management support, perceived quality, and cloud providers' support significantly affect CCA. Besides, the article verifies that CCA positively shapes SMEs' performance. Machine learning findings unravel perceived benefit as the strongest determinant of CCA. This study is an initial attempt to develop a conceptual framework that hypothesizes the links between technological-organizational-environmental (TOE) factors and SMEs' intent for CCA in Palestine and provides empirical evidence regarding these links.

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“…, 2021c, d). Halal food means food products that are hygienic and safe to eat and drink and are slaughtered/harvested based on Islamic law (Hamdan et al. , 2022b).…”

Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

“…Halal is an Arabic term that means "permissible" or "lawful" according to Islamic law (Sumarliah et al, 2021c, d). Halal food means food products that are hygienic and safe to eat and drink and are slaughtered/harvested based on Islamic law (Hamdan et al, 2022b). After COVID-19 (in 2020), the world's Halal food business has earned US$ 1.7tn and is estimated to achieve US$ 3.2tn by 2027, with a yearly expansion rate of 9.7% (Usmanova et al, 2021).…”

Section: Sscm and Halal Scmentioning

confidence: 99%

The effects of digital innovations and sustainable supply chain management on business competitive performance post-COVID-19

Sumarliah

Al-Hakeem

2023

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PurposeSustainable supply chain management (SSCM) practices and green entrepreneurial preference (GEP) have gained increasing attention from academicians; however, their impacts on business' competitive performance (BCP) post-coronavirus disease of 2019 (COVID-19) remain unclear. Although SSCM is vital for supporting BCP, the previous publications indicate the absence of significant relationships among GEP, SSCM and BCP. This study tries to fill this literature gap by investigating if GEP and SSCM can shape BCP. This study also suggests the moderation effect of digital innovations such as artificial intelligence and big data analytics (AIBD) on those relationships from a COVID-19 viewpoint.Design/methodology/approachData were collected from 245 Halal food firms in Yemen, and the research framework was assessed using structural equation modeling (SEM).FindingsThe empirical findings show that there are significant impacts of GEP on SSCM and subsequently on BCP. The findings also reveal that SSCM practice mediates GEP-BCP link. Besides, digital innovations such as AIBD positively moderate the link of GEP-SSCM.Originality/valueThis study is the first attempt that advises Halal food firms to formally adopt GEP, SSCM and digital innovations to boost BCP, especially in uncertain times like post-COVID-19. Unlike earlier studies that observe SSCM usage as a direct predictor of firm performance, this study delivers an innovative insight that digital innovations can assist in GEP and SSCM incorporation in the in-house operations of the firms post-COVID-19.

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Forecasting blockchain adoption in supply chains based on machine learning: evidence from Palestinian food SMEs

Cited by 25 publications

References 34 publications

Unlocking the potential of blockchain technology in China’s supply chain: a survey of industry professionals

Unlocking the potential of blockchain technology in China’s supply chain: a survey of industry professionals

The Impact of Cloud Computing Adoption on Firm Performance Among SMEs in Palestine

The effects of digital innovations and sustainable supply chain management on business competitive performance post-COVID-19

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