Analysis of human resource management challenges in implementation of industry 4.0 in Indian automobile industry

James, Ajith Tom; Kumar, Girish; Tayal, Pushpal; Chauhan, Ashwin; Wadhawa, Chirag; Panchal, Jasmin

doi:10.1016/j.techfore.2022.121483

Cited by 23 publications

(9 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…BWM can evaluate the optimal weights of the challenges by considering the consistency of the results 39 . BWM technique has been widely used by various researchers in different applications such as ship selection for container shipping, 40 sustainability assessment of onshore wind plants 41 and challenges in the implementation of industry 4.0, 42 and so forth. The steps involved in BWM are given as follow: Step 1 : Identify and collect the challenges

((),,,, C_{1}, C_{2}, \dots, C_{N})

to LCA. Step 2 : Select the best and worst challenge to LCA.…”

Section: Methodsmentioning

confidence: 99%

Evaluating the challenges to Life Cycle Assessment using Best‐Worst Method and Decision‐Making Trial and Evaluation Laboratory

Karuppiah

Sankaranarayanan

Ali

2022

Env Prog and Sustain Energy

View full text Add to dashboard Cite

Purpose: Over the past few decades, the industrial sectors have been widely criticized for their adverse environmental impacts and uncontrolled resources consumption. Further, stringent environmental norms and growing environmental awareness has pushed industrial sectors to adopt sustainable industrial practice. Life Cycle Assessment (LCA), an industrial performance assessment tool, has several limitations and hence, it is difficult to measure the performance of industrial sectors in terms of sustainability. The present study aims to identify and evaluate the challenges to LCA. Methods: Combining literature review and industrial interactions has identified 20 challenges to LCA under five-category comparability, data, resource requirements, organizational structure, and uncertainty communication. An integrated Multi-Criteria Decision Making (MCDM) technique comprising of Best-Worst Method (BWM) and Decision-Making Trial and Evaluation of Laboratory (DEMATEL) is used to evaluate the challenges to LCA. BWM is used to prioritize the challenges to LCA, and DEMATEL is used to reveal interrelationships among the challenges. Results: Outcomes of BWM indicates problems with the quality of data, lack of inventory data, difficulty in comparison, absence of dedicated LCA method, and scale-up issues as the top five critical challenges to LCA adoption. According to DEMATEL result, seven challenges come under cause category and the remaining 13 challenges come under effect category.Conclusions: Challenges to LCA have been evaluated using an integrated approach comprising of BWM-DEMATEL. Outcome of the integrated approach helps in prioritizing the challenges and also in exposing the interrelationships among the challenges. The study's outcome would assist industrial management and practitioners in identifying the critical challenges to LCA. In addition, the findings may help the research community in developing a robust and reliable LCA tools.

show abstract

((),,,, C_{1}, C_{2}, \dots, C_{N})

to LCA. Step 2 : Select the best and worst challenge to LCA.…”

Section: Methodsmentioning

confidence: 99%

Evaluating the challenges to Life Cycle Assessment using Best‐Worst Method and Decision‐Making Trial and Evaluation Laboratory

Karuppiah

Sankaranarayanan

Ali

2022

Env Prog and Sustain Energy

View full text Add to dashboard Cite

show abstract

“…DEMATEL has also been applied to predictive maintenance management for complex service systems monitored by sensors [ 44 , 45 ] and to evaluate blockchain adoption enablers in sustainable supply chain management [ 46 ]. DEMATEL has been integrated with other methodologies, such as Interpretive Structural Modeling (ISM) [ 47 ], to analyze barriers for the implementation of a circular economy in the automotive industry [ 48 ] and with the Best Worst Method (BWM) [ 49 ] to assess human resource management challenges related to Industry 4.0 in the Indian automotive sector [ 50 ]. As previously discussed, MCDM methods can effectively rely on qualitative evaluations as input data and DEMATEL makes no exception.…”

Section: Introductionmentioning

confidence: 99%

Where to Place Monitoring Sensors for Improving Complex Manufacturing Systems? Discussing a Real Case in the Food Industry

Pellicer

Tungekar

Carpitella

2023

Sensors

View full text Add to dashboard Cite

Industry 4.0 technologies offer manufacturing companies numerous tools to enhance their core processes, including monitoring and control. To optimize efficiency, it is crucial to effectively install monitoring sensors. This paper proposes a Multi-Criteria Decision-Making (MCDM) approach as a practical solution to the sensor placement problem in the food industry, having been applied to wine bottling line equipment at a real Italian winery. The approach helps decision-makers when discriminating within a set of alternatives based on multiple criteria. By evaluating the interconnections within the different equipment, the ideal locations of sensors are suggested, with the goal of improving the process’s performance. The results indicated that the system of electric pumps, corker, conveyor, and capper had the most influence on the other equipment which are then recommended for sensor control. Monitoring this equipment will result in the early discovery of failures, potentially also involving other dependant equipment, contributing to enhance the level of performance for the whole bottling line.

show abstract

“…Industry 4.0 technology offers advanced technologies such as Cyber-Physical Systems, Artificial Intelligence (AI), Robots, the Internet of Things (IoT), Cloud Computing and Big Data Analytics (Oztemel and Gursev, 2020;Naik, 2018, 2020). Industry 4.0 technology is leveraged across businesses to optimize efficiency and performance (Castelo-Branco et al, 2022;Ghobakhloo, 2020;James et al, 2022;Sony and Naik, 2018;Verma et al, 2020). The adoption of Industry 4.0 technology supports different business functions and develops advanced processes and procedures for improving efficiency and achieving performance (Duman and Akdemir, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…The human resource management domain is also not left untouched by Industry 4.0 as different verticals of HRM are getting revamped and automated with the emergence of Industry 4.0 (James et al, 2022;Liboni et al, 2019;Munsamy and Telukdarie, 2019;Sivathanu and Pillai, 2018). The concept of Smart human resource management 4.0 (Smart HRM4.0) emerged due to industrial revolution 4.0.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Smart HRM 4.0 for achieving organizational performance: a dynamic capability view perspective

Pillai

Srivastava

2022

IJPPM

View full text Add to dashboard Cite

PurposeThe research examines the role of Smart HRM 4.0 in developing dynamic capabilities and its impact on human resources and organizational performance.Design/methodology/approachThe authors used a grounded theory approach and conducted interviews of 39 senior HR managers from IT, ITeS, consulting, services and E-commerce companies through a semi-structured questionnaire. The authors analyzed the interview data with NVivo 8.0 to identify the themes related to the dynamic capabilities to Smart 4.0 HR practices.FindingsThe study provides a conceptual framework for organizational performance using dynamic capabilities built due to Smart HRM 4.0 practices. Organizations use Smart HRM 4.0 to develop dynamic capabilities: building learning and knowledge sharing capability and integration, reconfiguration capabilities. Further, the dynamic capabilities contribute to HR and organizational performance.Originality/valueThis study divulges the role of Smart HRM 4.0 practices in developing dynamic capabilities in Indian firms. The study provides an appealing insight into the structural link between Smart HRM 4.0 and dynamic capabilities, which are yet to be explored. This study extends the Smart HRM 4.0 and dynamic capabilities concepts for senior HR professionals and contributes to human resource management and organizational performance literature.

show abstract

Analysis of human resource management challenges in implementation of industry 4.0 in Indian automobile industry

Cited by 23 publications

References 68 publications

Evaluating the challenges to Life Cycle Assessment using Best‐Worst Method and Decision‐Making Trial and Evaluation Laboratory

Evaluating the challenges to Life Cycle Assessment using Best‐Worst Method and Decision‐Making Trial and Evaluation Laboratory

Where to Place Monitoring Sensors for Improving Complex Manufacturing Systems? Discussing a Real Case in the Food Industry

Smart HRM 4.0 for achieving organizational performance: a dynamic capability view perspective

Contact Info

Product

Resources

About