Analyzing the Barriers to Industry 4.0 Through Best-Worst Method

Kumar, Shailendra; Suhaib, Mohd; Asjad, Mohammad

doi:10.23940/ijpe.20.01.p4.2736

Cited by 24 publications

(29 citation statements)

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“…“Human Resources,” “Continued Education of Employees” and “Lack of Standards” are also placed among prominent barriers to I4.0 by Türkes et al (2019). Kumar et al (2020a) rightly reported that economic and socioeconomic barriers are the prominent ones. In the overall ranking, Kumar et al (2020a) placed “ B1 ,” “ B12 ” “ B10 ” at the top three barriers.…”

Section: Resultsmentioning

confidence: 99%

“…They reported uncertain ROI, unclear market potential, long implementation process and employee resistance among the major obstacles in the adoption of I4.0. Kumar et al (2020a) identified 16 barriers and divided them into 4 different groups, namely “Technological,” “Economical,” “Socio-Economical” and “Social”. In group ranking, “Economical” and “Socio-Economical” group are ranked high.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In this study, barriers are identified from an extant review of relevant literature and further discussion with experts. The barriers to I4.0 discussed by Kumar et al (2020a) are found suitable for the study, and the same is adopted and tabulated in Table 1.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Without policy support, it would be nearly impossible for any industry to remove all the barriers. Some governments have already announced their vision program for providing the required impetus in the adoption of I4.0 practices (Kumar et al , 2020a) in different names. Some barriers can be overcome at the level of individual and management vision.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The new industrial paradigm, extensively branded as Industry 4.0 (I4.0) or the fourth industrial revolution, first invited the attention of worldwide researchers and scientists in Hannover Messe in the year 2011, when Germany introduced a new term Industrie 4.0 (Alcácer and Cruz-Machado, 2019); afterward, it positioned itself at the pinnacle of the Industrial Revolution (Kumar et al , 2020a, b; Drath and Horch, 2014), leading to discussions over it as a revolution/panacea/opportunity or threat. Soon, this concept of digital and connected manufacturing would not contain itself only to manufacturing but will also find the applications in every field of society, whether it is service, education, business, medicine (Kumar et al , 2020b), agriculture, maintenance and so forth.…”

Section: Introductionmentioning

confidence: 99%

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Narrowing the barriers to Industry 4.0 practices through PCA-Fuzzy AHP-K means

Kumar

Suhaib

Asjad

2020

JAMR

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PurposeThe study aims to analyze the barriers in the adoption of Industry 4.0 (I4.0) practices in terms of prioritization, cluster formation and clustering of empirical responses, and then narrowing them with identification of the most influential barriers for further managerial implications in the adoption of I4.0 practices by developing an enhanced understanding of I4.0.Design/methodology/approachFor the survey-based empirical research, barriers to I.40 are synthesized from the review of relevant literature and further discussions with academician and industry persons. Three widely acclaimed statistical techniques, viz. principal component analysis (PCA), fuzzy analytical hierarchical process (fuzzy AHP) and K-means clustering are applied.FindingsThe novel integrated approach shows that lack of transparent cost-benefit analysis with clear comprehension about benefits is the major barrier for the adoption of I4.0, followed by “IT infrastructure,” “Missing standards,” “Lack of properly skilled manpower,” “Fitness of present machines/equipment in the new regime” and “Concern to data security” which are other prominent barriers in adoption of I4.0 practices. The availability of funds, transparent cost-benefit analysis and clear comprehension about benefits will motivate the business owners to adopt it, overcoming the other barriers.Research limitations/implicationsThe present study brings out the new fundamental insights from the barriers to I4.0. The new insights developed here will be helpful for managers and policymakers to understand the concept and barriers hindering its smooth implementation. The factors identified are the major thrust areas for a manager to focus on for the smooth implementation of I4.0 practices. The removal of these barriers will act as a booster in the way of implementing I4.0. Real-world testing of findings is not available yet, and this will be the new direction for further research.Practical implicationsThe new production paradigm is highly complex and evolving. The study will act as a handy tool for the implementing manager for what to push first and what to push later while implementing the I4.0 practices. It will also empower a manager to assess the implementation capabilities of the industry in advance.Originality/valuePCA, fuzzy AHP and K means are deployed for identifying the significant barriers to I4.0 first time. The paper is the result of the original conceptual work of integrating the three techniques in the domain of prioritizing and narrowing the barriers from 16 to 6.

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Section: Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Narrowing the barriers to Industry 4.0 practices through PCA-Fuzzy AHP-K means

Kumar

Suhaib

Asjad

2020

JAMR

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Aligning sustainable development goals with Industry 4.0 for the design of business model for printing and packaging companies

et al. 2022

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Growing concern for Industry 4.0 (I4.0) motivates to examine I4.0 technologies under the lens of sustainable development goals (SDGs) in the context of digital technologies. The goal of the paper is to align SDGs with selected I4.0 technologies to conceptualize a digital business model for printing and packaging companies. In this perspective, a comprehensive literature review, quantitative survey and qualitative individual in‐depth interviews were conducted as a research approach. Findings revealed that printing and packaging companies achieved SDGs (8, 9 and 12) mostly through their value proposition by supporting I4.0 components (cybersecurity, system integration, cloud computing, big data and Internet of things [IoT]). The business model affirms a digital‐oriented transition towards sustainability, fostering further development of I4.0. It also highlights the importance of redesigning traditional business models to embrace digitalization. Despite the study limitations, the business model can be adapted to other companies of various sectors, improving their ‘profit centres’.

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Finding causal relationship and ranking of industry 4.0 implementation challenges: a fuzzy DEMATEL-ANP approach

Kiani,

Andalib Ardakani

2023

Soft Comput

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Analyzing the Barriers to Industry 4.0 Through Best-Worst Method

Cited by 24 publications

References 0 publications

Narrowing the barriers to Industry 4.0 practices through PCA-Fuzzy AHP-K means

Narrowing the barriers to Industry 4.0 practices through PCA-Fuzzy AHP-K means

Aligning sustainable development goals with Industry 4.0 for the design of business model for printing and packaging companies

Finding causal relationship and ranking of industry 4.0 implementation challenges: a fuzzy DEMATEL-ANP approach

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