An empirical examination of benefits, challenges, and critical success factors of industry 4.0 in manufacturing and service sector

Sony, Michael; Antony, Jiju; McDermott, Olivia; Garza‐Reyes, Jose Arturo

doi:10.1016/j.techsoc.2021.101754

Cited by 96 publications

(82 citation statements)

References 85 publications

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“…Consequently, increases in employees workload may not always lead to poorer performance (Fallahi et al, 2016;Nachreiner, 1995). As I4.0 technologies have often been considered enablers of better organizational performance (Narayanamurthy & Tortorella, 2021;Sony et al, 2021), one tends to assume that they also present a positive impact on employees workload. To better investigate the effects of I4.0 on employees workloads in contact centers, we propose the following hypotheses based on NASA-TLX dimensions (i.e., mental demand, physical demand, temporal demand, overall performance, effort, and frustration levels): The hypothesized model is displayed in Figure 1.…”

Section: The Integration Of Technologies In Contact Centersmentioning

confidence: 99%

“…The integration of disruptive digital technologies, for example, big data, cloud computing, Internet-of-Things (IoT), and artificial intelligence (AI), has been changing the landscape of organizations and supply chains, yielding operational benefits while imposing additional challenges (Sony et al, 2021). As organizations increase their awareness of I4.0, understanding its actual benefits and challenges becomes clearer (Veile et al, 2020), especially regarding the implications of human factors (Tortorella, Miorando, et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…With the increased level of interconnectivity and automation, organizations have been restructuring and revising their processes, products, services, and business models to achieve superior performance results (Tortorella, Cauchick‐Miguel, et al, 2021; Wagire et al, 2020). The integration of disruptive digital technologies, for example, big data, cloud computing, Internet‐of‐Things (IoT), and artificial intelligence (AI), has been changing the landscape of organizations and supply chains, yielding operational benefits while imposing additional challenges (Sony et al, 2021). As organizations increase their awareness of I4.0, understanding its actual benefits and challenges becomes clearer (Veile et al, 2020), especially regarding the implications of human factors (Tortorella, Miorando, et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

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Impact of Industry 4.0 adoption on workload demands in contact centers

Tortorella

Prashar

Saurin

et al. 2022

Hum Ftrs & Erg Mfg Svc

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This paper examines the impact of Industry 4.0 (I4.0) technologies on employees workload in contact centers. For that, we adopted the NASA task load index questionnaire to assess the workload of 100 employees from different contact centers in India that have been adopting I4.0 technologies. The collected data is analyzed through multivariate techniques. This study is grounded on concepts from the multiple resource theory. Our findings indicate positive and negative effects of I4.0 on employees workload, conditioned on the adopted technologies (i.e., Internet‐of‐Things, cloud computing, big data, machine learning/artificial intelligence, remote monitoring, and wireless sensors) and workload dimensions considered (i.e., mental demand, physical demand, temporal demand, overall performance, effort, and frustration level). Identifying I4.0's impacts on employees workload allows planning of managerial efforts to mitigate potential issues while setting clear expectations related to the digital transformation of contact centers' processes and services.

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Section: The Integration Of Technologies In Contact Centersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Impact of Industry 4.0 adoption on workload demands in contact centers

Tortorella

Prashar

Saurin

et al. 2022

Hum Ftrs & Erg Mfg Svc

Self Cite

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“… Majumdar et al ( 2021 ), Stentoft et al ( 2021 ), Laurell et al ( 2019 ) Enablers and critical success factors for the diffusion stage of technologies What are the enablers and critical success factors for the adoption, implementation, routinization, continuance, and diffusion of Industry 4.0 technologies? Sony et al ( 2021 ), Moeuf et al ( 2020 ), Sony and Naik ( 2020 ) Diffusion stage differences between technologies Which are the main differences between the various types of Industry 4.0 technologies at the diffusion stage? Fosso Wamba and Queiroz ( 2022 ), Raj et al ( 2020 ) Enablers, barriers, and critical success factors in play at different stages of the technologies Which are the main enablers/barriers/critical success factors in play at the diffusion stage of Industry 4.0 technologies?…”

Section: Proposed Research Agendamentioning

confidence: 99%

Adoption of Industry 4.0 technologies by organizations: a maturity levels perspective

Queiroz¹,

Wamba

Jabbour

et al. 2022

Ann Oper Res

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This study employs a structured literature analysis considering Industry 4.0 technologies and their adoption stages (intention, adoption, implementation, routinization, continuance, and diffusion). We identify the technology adoption stage for each technology type, which in turn supports a maturity level categorization, as well as future research suggestions and challenging open research questions. By considering an integrated view of all the adoption stages of Industry 4.0 key technologies, we reveal the key technologies and their development stages, as well as a novel maturity level categorization perspective. The proposed categorization brings valuable research insights in the form of guidelines for practitioners and decision-makers interested in gaining a deeper understanding of the maturity level of key Industry 4.0 technologies.

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“…(1) People must be a relevant factor of attention. The implementation of Industry 4.0 is complex, involves extensive capital and time to train the workforce, adapt the organization's culture, and install, integrate and operate the new (2) processes and (3) technologies [74][75][76]79,[91][92][93].…”

Section: The Proposed Modelmentioning

confidence: 99%

Implementing Industry 4.0 through Cleaner Production and Social Stakeholders: Holistic and Sustainable Model

Sátyro

Contador

et al. 2021

Sustainability

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Although Industry 4.0 has received much attention in recent years due to the possibility of increasing companies’ productivity, the implementation process is complex. The aim of this study is to present a holistic model for implementing Industry 4.0 based on cleaner production as a fundamental tool for the development of production systems that meet the Sustainable Development 04026-002Goals (SDGs), and social stakeholders that cooperate with this implementation process, helping to develop sustainable infrastructure, processes and technologies to increase the sustainable transformation of these companies towards Industry 4.0. The method used was literature research, and the Delphi technique was used to ask specialists to contribute with their experience to evaluate and propose improvements to the model, in the form of a consensus. The model contributes to the Sustainable Development Goals 9, 12 and 15. This holistic and sustainable model is a contribution to theory and practice, helping executives, technicians, entrepreneurs and those involved with Industry 4.0 to base the implementation process in the needs and specificities of each company, avoiding the “one fits all” models, considering the peculiarities of each company and the complexity of the implementation process in a more efficient and collaborative digital production ecosystems base, seeking to reduce inequalities, through the joint effort of social stakeholders to find ways to restore and/or improve social harmony, impacted by Industry 4.0.

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An empirical examination of benefits, challenges, and critical success factors of industry 4.0 in manufacturing and service sector

Cited by 96 publications

References 85 publications

Impact of Industry 4.0 adoption on workload demands in contact centers

Impact of Industry 4.0 adoption on workload demands in contact centers

Adoption of Industry 4.0 technologies by organizations: a maturity levels perspective

Implementing Industry 4.0 through Cleaner Production and Social Stakeholders: Holistic and Sustainable Model

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