Industry 4.0—Awareness in South India

Šafár, Leoš; Sopko, Jakub; Dancaková, Darya; Woschank, Manuel

doi:10.3390/su12083207

Cited by 30 publications

(19 citation statements)

References 31 publications

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“…Safar et al [12] To examine opinions and attitudes of inhabitants of South India with a survey method; to emphasize insufficient knowledge of the fourth industrial revolution and industry 4.0 of the potential workforce and to suggest education and requalification is necessary…”

Section: Reference Study Aims Our Contributionsmentioning

confidence: 99%

Searching for New Model of Digital Informatics for Human–Computer Interaction: Testing the Institution-Based Technology Acceptance Model (ITAM)

Kang

Nakbum

Kim

2021

IJERPH

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The fourth industrial revolution has produced new information technology (IT) that is widely used in the healthcare industry. Although the nature of the institution affects IT adoption, the Technology Acceptance Model (TAM), a dominant theory, has dismissed its role and influence. Our research investigates how institutions influence the adoption of new IT by using the Institution-based Technology Acceptance Model (ITAM). We conducted an empirical test by using survey data collected from 300 employees in the public sector. Structural equation modeling was applied to test the proposed hypotheses. The results showed the total effect of institutions on the intention to use new IT is positive and significant. Second, IT adoption is not only affected by external institutions but also by type of institution; the external institution takes a greater role in inducing perceived usefulness, perceived ease of use, and intention to use than does the internal. Third, perceived ease of use and perceived usefulness play mediating roles between institution and IT adoption. Fourth, an alternative expanded model to which more individual and organizational factors were added confirmed the results of the base model. We concluded that institutions have a strong impact on the level of intention for IT use through perceived ease of use and perceived usefulness.

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Section: Reference Study Aims Our Contributionsmentioning

confidence: 99%

Searching for New Model of Digital Informatics for Human–Computer Interaction: Testing the Institution-Based Technology Acceptance Model (ITAM)

Kang

Nakbum

Kim

2021

IJERPH

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“…Another very important social aspect of such a smart environment is how intelligent machines will affect the labour market (Eberhard et al 2017;Dallasega et al 2019Woschank et al 2020). This topic can be being examined from two perspectives, firstly by describing requirements towards workers in I4.0 (Eberhard et al 2017;Safar et al 2020), secondly by examining the standpoint of workers and their outlook or current state of mind (Eberhard et al 2017;Wolter et al 2015). We argue, that unless a reasonable level of awareness and basic knowledge of Industry 4.0 related concepts and inevitable parts is reached, it will be hard to successfully move towards a smart environment, especially in the case of less developed regions.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Fig. 11.4The answers to the questions Q19, Q20-Q25 (Adapted fromSafar et al [2020]) …”

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confidence: 99%

General Assessment of Industry 4.0 Awareness in South India—A Precondition for Efficient Organization Models?

Tippayawong

Šafár

Sopko

et al. 2021

Implementing Industry 4.0 in SMEs

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This chapter provides a questionnaire-based survey on individuals, with an attempt to examine general awareness about I4.0, in the South India region. Results show inadequate future expectations regarding effects on several aspects of respondents’ lives, which mostly stem from a rather poor informational level of I4.0. Conversely, rather positive opinions and expectations of possible future trends come from respondents with prior information about I4.0. Thus, from a broader discussion we generalize, that for sustainable and successful development leading towards the Fourth Industrial Revolution, sufficient information and knowledge base within the potential labour force, especially in a particular region with promising demography, should be achieved. We find obtained information not negligible from SMEs management perspective and successful development of organization and network models.

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“…(i) Exports are a major focus of Indian Engineering industries, therefore, for the products to be competitive Industry 4.0 implementation cannot be ignored, (j) In a study which explored the awareness of Industry 4.0 in south India, it was found that term " Mass Customization" was not known to 60 % responding citizens and "Industry 4.0" was not known to 49.6%. This suggests general awareness about Industry 4.0 in Indian society is very low towards [30]. Therefore, there is a need for a study which analyses the impact of Industry on Indian Engineering Industries.…”

Section: Related Workmentioning

confidence: 99%

Transforming Indian Engineering Industries through Industry 4.0: An Integrative Conceptual Analysis

Sony¹,

Aithal

2020

SSRN Journal

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The recent innovations in both industrialisation and informatisation technologies have culminated into a new generation of manufacturing paradigm. This manufacturing innovation promises mass customization due to flexibility in manufacturing, improved product quality and safety, new productivity levels, creation of smart products and services. Industry 4.0 is gradually making its presence felt in Indian Industries. Indian Engineering Industries being the largest segment in the Industry, holds immense potential if it embraces Industry 4.0. This research conceptually examines the effect of Industry 4.0 on Indian Engineering Industries on both the heavy and light engineering industries. ABCD framework is used to investigate the effect of Industry 4.0 in these Industries. The study finds that Indian engineering industry can be transformed to produce smart products and services, by the application of Industry 4.0. This is the first study to evaluate the effect of Industry 4.0 on Indian Engineering Industries. It also contributes to the theoretical need for evaluating the effects of Industry 4.0 in the developing world.

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Industry 4.0—Awareness in South India

Cited by 30 publications

References 31 publications

Searching for New Model of Digital Informatics for Human–Computer Interaction: Testing the Institution-Based Technology Acceptance Model (ITAM)

Searching for New Model of Digital Informatics for Human–Computer Interaction: Testing the Institution-Based Technology Acceptance Model (ITAM)

General Assessment of Industry 4.0 Awareness in South India—A Precondition for Efficient Organization Models?

Transforming Indian Engineering Industries through Industry 4.0: An Integrative Conceptual Analysis

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