Effect of internet of things on manufacturing performance: A hybrid multi-criteria decision-making and neuro-fuzzy approach

Asadi, Shahla; Nilashi, Mehrbakhsh; Iranmanesh, Mohammad; Hyun, Sunghyup Sean; Rezvani, Azadeh

doi:10.1016/j.technovation.2021.102426

Cited by 27 publications

(18 citation statements)

References 73 publications

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“…, 2019), cloud computing (Hiran and Henten, 2020), blockchain (Clohessy and Acton, 2019), social commerce (Abed, 2020), social media marketing (Abbasi et al. , 2022), internet of things (Asadi et al. , 2021) and BDA (Maroufkhani et al.…”

Section: Theoretical Background and Hypotheses Developmentmentioning

confidence: 99%

“…Scholars have commonly used the TOE model in explaining technology adoption at the firm level. The model has been tested in various contexts, including customer relationship management (CRM) (Cruz-Jesus et al, 2019), cloud computing (Hiran and Henten, 2020), blockchain (Clohessy and Acton, 2019), social commerce (Abed, 2020), social media marketing (Abbasi et al, 2022), internet of things (Asadi et al, 2021) and BDA (Maroufkhani et al, 2020). Many studies have confirmed its ability to clarify the adoption of various technologies in an organizational setting (El-Haddadeh et al, 2021;Gupta et al, 2020;Oliveira et al, 2019).…”

Section: Toe Modelmentioning

confidence: 99%

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Determinants of big data analytics adoption in small and medium-sized enterprises (SMEs)

Maroufkhani

Iranmanesh

Ghobakhloo

2022

IMDS

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PurposeThe study challenges the assumption of independence among Technological, Organizational and Environmental (TOE) factors and investigates the influence of TOE factors on Big Data Analytics (BDA) adoption among Small and Medium Enterprises (SMEs). Top management support was proposed as a mediator between technological and organizational factors and BDA adoption. Furthermore, the moderating effect of environmental factors on the association between relative advantage, compatibility, competitiveness, organizational readiness and BDA adoption was evaluated.Design/methodology/approachData were collected from 171 SME manufacturing firms and analyzed using the partial least squares technique.FindingsThe findings confirmed the interrelationships among the TOE factors. The effects of compatibility, competitiveness and organizational readiness on BDA adoption were mediated by top management support. Furthermore, environmental factors moderate the influences of compatibility and organizational readiness on top management support.Originality/valueThe findings contribute to the TOE model by challenging the assumption of independence among TOE factors, and future studies should use this model with more caution and consider the potential relationships between TOE factors.

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Section: Theoretical Background and Hypotheses Developmentmentioning

confidence: 99%

Section: Toe Modelmentioning

confidence: 99%

Determinants of big data analytics adoption in small and medium-sized enterprises (SMEs)

Maroufkhani

Iranmanesh

Ghobakhloo

2022

IMDS

Self Cite

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“…Pressures from competitors encourage companies to adopt an innovation such as BDA (Obal, 2017). Industry competition influences organisational initiation and new technology's adoption (Asadi et al, 2021). Businesses must adopt innovation to keep up with their competitors and improve their business strategies.…”

Section: Competitive Pressurementioning

confidence: 99%

Determinants of intention to adopt big data and outsourcing among SMEs: organisational and technological factors as moderators

Iranmanesh

Lim

Foroughi

et al. 2022

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PurposePresent research aims to study the determinants of big data analytics (BDA) adoption intention and outsourcing in the context of small and medium-sized enterprises (SMEs).Design/methodology/approachThe partial least squares approach was employed to analyse data collected from 187 SMEs.FindingsThe findings indicate that relative advantage, competitive pressure and environmental uncertainty significantly influence SMEs' BDA adoption intention. Top management support moderates the association between the regulatory environment and BDA adoption intention. Furthermore, organisational readiness moderates negatively the association between BDA adoption intention and propensity to outsource BDA.Practical implicationsThe findings benefit SMEs' managers/owners in making well-informed decisions in the BDA adoption process.Originality/valueThe majority of the previous research on BDA adoption intention is limited to large corporations. To address the gap on determinant factors of BDA adoption intention among SMEs, the drivers of BDA adoption intention and propensity to outsource were investigated using the technology-organisation-environment model.

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“…When technological readiness is low, it is more likely that organizations will not adopt the technology (De Prieëlle et al, 2020). Readiness is critical for the successful utilization of technology (Asadi et al, 2021).…”

Section: Technological Readiness As a Moderatormentioning

confidence: 99%

Cloud computing usage by governmental organizations in Saudi Arabia based on Vision 2030

Alarefi¹

2023

10.5267/j.uscm

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Cloud computing (CC) has been used in several industries and domains. However, the use of CC in governmental organization is still limited. The purpose of this study is to examine the CC usage among governmental organizations in Saudi Arabia. The population of this study are Information technology (IT) professionals working for governmental organizations in Saudi Arabia. Purposive sampling was used to collect the data from the respondents. The questionnaire was distributed, and 211 valid responses were collected. The analysis was conducted using Smart PLS 4.0. The findings showed that perceived usefulness (PU), perceived ease of use (PEOU), external influence, security but not privacy have significant effects on CC usage. The findings also showed that technological readiness moderated the effect of PU, external influence, and security on CC usage. Decision makers are recommended to enhance the perception of the benefit of CC and conduct more training courses to ease the usage of CC.

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Effect of internet of things on manufacturing performance: A hybrid multi-criteria decision-making and neuro-fuzzy approach

Cited by 27 publications

References 73 publications

Determinants of big data analytics adoption in small and medium-sized enterprises (SMEs)

Determinants of big data analytics adoption in small and medium-sized enterprises (SMEs)

Determinants of intention to adopt big data and outsourcing among SMEs: organisational and technological factors as moderators

Cloud computing usage by governmental organizations in Saudi Arabia based on Vision 2030

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