Assessing the industrial readiness for adoption of industry 4.0 in Nepal: A structural equation model analysis

Rajbhandari, Sharad; Devkota, Niranjan; Khanal, Ghanashyam; Mahato, Surendra; Paudel, Udaya Raj

doi:10.1016/j.heliyon.2022.e08919

Cited by 34 publications

(28 citation statements)

References 58 publications

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“…The innovations and developments ahead in the production environment are inevitable events, and production experts believe that these developments have emerged in the form of an industrial revolution called Industry 4.0 (Fatorachian and Kazemi, 2018). Moreover, the term Industry 4.0 is one of the most common topics in the global manufacturing sector both in industry and academia (Rajbhandari et al ., 2022).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

An Industry 4.0 readiness model for new technology exploitation

Ansari

Barati

Moghadam

et al. 2023

IJQRM

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PurposeConsidering the importance and the broad applications of the Fourth Industrial Revolution in various organizations and industries and enjoying the many benefits of this digital transformation framework, organizations need to measure their Industry 4.0 readiness as a starting point and take steps to achieve the strategic goals of Industry 4.0. This study aims to design a comprehensive and practical model that can determine Industry 4.0 readiness level, allowing organizations to implement and exploit technological constituents of this phenomenon.Design/methodology/approachA systematic literature review (SLR) methodology was used to evaluate and summarize a clear and comprehensive literature overview of Industry 4.0 readiness models and to certify the validity and transparency of the review process. After reviewing 71 articles and survey and then the consensus of Industry 4.0 experts, the 10 dimensions of the 4.0 Industry readiness model were finalized with their indicators having the most frequency in the published articles and models.FindingsThe application of the SLR to the development of the new Industry 4.0 readiness model which includes 10 dimensions and 37 indicators and can assess the Industry 4.0 readiness of firms and industries accurately and effectively.Research limitations/implicationsAn extensive review of the previous literature yielded the current Industry 4.0 readiness model. The comprehensiveness of this model leads to its wide application in different companies. Future research suggestions are presented at the end of the manuscript.Practical implicationsThe concept of the Fourth Industrial Revolution and the application of its technologies are vague and complicated for many organizations and managers, while the need to implement the components and technologies of Industry 4.0 is essential to achieve organizational goals. The presented readiness model helps companies to measure their readiness to enter the Fourth Industrial Revolution and achieve long-term goals.Originality/valueIn this study, an attempt was made to examine the Industry 4.0 readiness models thoroughly and extensively and identify their different approaches. Finally, a comprehensive and multi-dimensional readiness model is presented to assess the position of organizations in order to enter Industry 4.0.

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Section: Theoretical Backgroundmentioning

confidence: 99%

An Industry 4.0 readiness model for new technology exploitation

Ansari

Barati

Moghadam

et al. 2023

IJQRM

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“…The study area for this research is KV, the capital city of Nepal, including three districts; Kathmandu, Bhaktapur and Lalitpur. KV lies between the latitudes 27°25 0 30″N to 27°49 0 30″N north and longitudes 85°10 0 0″E to 85°3 4 0 0″E east, with the mean elevation of 1,300 m (4,265 feet) above the sea level (Rajbhandari et al, 2022). Kathmandu is termed as the most crowded city in Nepal.…”

Section: Study Areamentioning

confidence: 99%

Identifying determinants of sustainable water management at the household level through rainwater harvesting systems in Nepal

et al. 2022

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The urban water supply systems around the world are highly stressed at present due to growing water demand caused by rapid population growth and unplanned urbanization. The growing environmental awareness and water supply restrictions have made, rainwater harvesting systems (RWHS) a priority as well as a necessity in many countries. To improve urban water security, the practice of an RWHS is increasingly being adopted in the cities and towns of developing countries. This study aims at identifying the factors affecting the adoption of rainwater harvesting for household uses in the Kathmandu valley (KV) of Nepal. The results were drawn from a survey of 405 respondents who reside in the KV. To explain the determinants of adaptation, structural equation modeling (SEM) was used. Results show that independence for water access and system sophistication are significant for the adaptation of RWHS and relative advantage plays a moderating role that has partial mediation among dependent and independent variables with a significant relationship. Thus, variables like independence for water access, system sophistication, relative advantage and sustainable use should be highlighted for a sustainable supply of water. For this, we recommend effective policy interventions at the local and national level for the adoption of RWHS and its advantages in terms of safeguarding water in the long run at the present changing climate scenario.

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“…The thought of manufacturing sector development has been started from the 18th century (Malerba, 2007) (Goyat et al, 2021). However, a lot of challenges and barriers like production-distribution planning in supply chain management, uncertainty of business environment, lack of advancement are faced by industries yet (Rajbhandari et al, 2022). Initially, each item employed by individuals such as clothing, tools, cooking items, weapons, music instruments, food items, etc.…”

Section: Introductionmentioning

confidence: 99%

“…Organizations have instigated their plan for innovations, effective automation, optimized data inputs, controlled supply and proper flow of material in Industry 4.0 (Dalenogare et al, 2018) (Siqin et al, 2022). The performance, competitiveness, flexibility and pliability and profitability can be boost up by adopting Industry 4.0 (Liao et al, 2017) (Rajbhandari et al, 2022). Therefore, it is essential to explore the hidden capabilities of Industry 4.0 in manufacturing developments.…”

Section: Introductionmentioning

confidence: 99%

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Fundamental pillars for industry 4.0 development: implementation framework and challenges in manufacturing environment

Singh

Goyat

Panwar

2023

TQM

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PurposeAt the present time, Industry 4.0 has proven its effectiveness and significance in automation and data exchange within industries across different sectors worldwide. In the current literature, there is still a lack of research on adopting Industry 4.0 in the manufacturing setting in developing economies. The main purpose of the present study is to explore the fundamental pillars and framework for ease of adoption of Industry 4.0 in manufacturing environments, along with highlighting the benefits and challenges.Design/methodology/approachIn this study, a systematic literature review has been conducted through protocol, search, appraisal, synthesis, analysis, report (PSALSAR) model. In the literature, the articles are included within time span of 2008–2022, consisting keywords like Industry 4.0, blockchain, machine learning, artificial intelligence, Internet of Things, 3D printing, big data analytics, etc. Based on available literature, conceptual implementation framework of Industry 4.0 is proposed.FindingsThis study explored the key ingredients that play an essential role to bridge the gap and construct a strong relationship among physical and cyber world. The results reveals that the emerging technologies such as IoT, blockchain, artificial intelligence, augmented reality, 3D printing, big-data analytics, cloud-computing join hands to accomplish success in Industry 4.0 by reducing human interference for effective and efficient systems. In addition, the study also explored the possible benefits of emerging technologies with challenges faced by manufacturing setting during adaptation of Industry 4.0.Originality/valueAs per the authors' best knowledge, no research articles are found in literature which explore various emerging technologies in Industry 4.0 with its implementation framework in the manufacturing setting in developing economies. The main focus of the present study is to discover the literature review in defined area and find the research gap among current scenario and future trend for execution of Industry 4.0 in manufacturing environment.

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Assessing the industrial readiness for adoption of industry 4.0 in Nepal: A structural equation model analysis

Cited by 34 publications

References 58 publications

An Industry 4.0 readiness model for new technology exploitation

An Industry 4.0 readiness model for new technology exploitation

Identifying determinants of sustainable water management at the household level through rainwater harvesting systems in Nepal

Fundamental pillars for industry 4.0 development: implementation framework and challenges in manufacturing environment

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