Institutional innovation readiness for Industry 4.0 education: towards an inclusive model for the Kingdom of Bahrain

AlMalki, Hameeda A.; Durugbo, Christopher

doi:10.1080/19761597.2022.2056492

Cited by 14 publications

(9 citation statements)

References 78 publications

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“…In smart industries, all the elements such as machinery, tools, sections, enterprise system and devices are related to distributed, cyber-physical system and internetwork system. Due to advancement, the amount of industrial data production is estimated to experience enormous development (Öberg and Graham, 2016) (AlMalki and Durugbo, 2022). Institutional innovation readiness for Industry 4.0 education: toward an inclusive model for the Kingdom of Bahrain.…”

Section: Literature Reviewmentioning

confidence: 99%

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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Section: Literature Reviewmentioning

confidence: 99%

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

Singh

Goyat

Panwar

2023

TQM

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“…It is also likely to be dependent on the prevailing business and competitive environment (King et al 1994). Finally, the study by AlMalki and Durugbo (2022) found the existence of three key considerations for service innovation readiness (set within the education sector) as (i) 'Design' (ii) 'Institutional reform' (iii) 'Societal value'. From our review of these literatures, we did not identify a generally applicable framework for service innovation readiness set within the context of public services.…”

Section: Service Innovation Readinessmentioning

confidence: 99%

“…Public sector service organizations seeking to implement and deliver new services are generally under considerable pressure to gain a full understanding of the conditions and managerial mechanisms best suited to ensure that users fully embrace the services they deliver (O'Connor and Fiol 2006;Thomas et al 2016). One of these conditions is their state of 'readiness' (Zerfass 2005;Yen et al 2012;Chen et al 2014;Thomas et al 2016;Winand and Anagnostopoulos 2017;AlMalki and Durugbo 2022). In the context of this study, readiness can be defined, drawing from Al-Mazrouie et al (2021) as "…the list of activities and plans, which can be considered enabling factors, and which should be planned for and executed by stakeholders to prepare for successful change brought about by the implementation and delivery of innovation" (p. 285).…”

Section: Introductionmentioning

confidence: 99%

“…The literature suggests that readiness can have a significant impact on an organization's capacity to successfully innovate in service (Zerfass 2005;Yen et al 2012;Chen et al 2014;Thomas et al 2016;Winand and Anagnostopoulos 2017;AlMalki and Durugbo 2022).…”

Section: Introductionmentioning

confidence: 99%

“…In terms of the academic literature, we have observed that there are quite a number of studies highlighting how important innovation readiness is to the organization (see for example, Yen et al 2012;Chen et al 2014;Thomas et al 2016;Winand and Anagnostopoulos 2017;AlMalki and Durugbo 2022). However, these studies have largely not been able to articulate a generally accepted set of specific factors, dimensions or constructs for innovation readiness focused on the public services sector.…”

Section: Introductionmentioning

confidence: 99%

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Innovation readiness in public sector service delivery: an exploration

Ojiako

AlRaeesi

Chipulu

et al. 2022

Production Planning & Control

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We set out in this study to examine the mechanisms (specific knowledge management practices) required to operationalize service innovation readiness within public sector service delivery. Data is obtained from 150 service delivery managers drawn from public sector service organizations within the emirate of Sharjah. Sampling is undertaking utilizing a 38 factor knowledge management-focused service innovation readiness questionnaire developed from the literature. Analysis of the data is via variable ranking and multidimensional scaling (MDS). The findings of the study suggest the existence of four knowledge management-based imperatives which are construed as managerial mechanisms for public sector service innovation readiness. These are (i) 'Knowledge core competence' (knowledge as a key strategic asset) (ii) 'Organizational structure' (internal patterns of organizational communication, authority and relationships) (iii) 'Responsiveness to change' (propensity to engage in both purposeful and timely behavioral change in response to modulating stimuli), and (iv) 'Innovativeness' (relative earliness in adopting innovation). The findings lead to a service innovation readiness typology which is oriented towards ensuring that public sector entities are able to effectively and efficiently deliver innovative services that meet both operational mandates and national visions of service expectations.

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Investment Flows, Talent Inflows: Unraveling the Spatial Spillover Effects of FDI on College Students’ City Choice

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Xie

2024

J Knowl Econ

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Institutional innovation readiness for Industry 4.0 education: towards an inclusive model for the Kingdom of Bahrain

Cited by 14 publications

References 78 publications

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

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

Innovation readiness in public sector service delivery: an exploration

Investment Flows, Talent Inflows: Unraveling the Spatial Spillover Effects of FDI on College Students’ City Choice

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