Amit Kumar Arya and Sanjiv Kumar Jain
A large number of small-scale industries have shown their existence in India, tough competition among them made the survival of small industries difficult. All facing problems…
Abstract
Purpose
A large number of small-scale industries have shown their existence in India, tough competition among them made the survival of small industries difficult. All facing problems like reduced production and poor quality. The case study presented in the paper deals with Kaizen implementation in a machine vice manufacturer company. Kaizen has tremendous impacts on the production techniques and lead times. Case study represented is to motivate practitioners for implementing Kaizen in small-scale industries of India. The paper aims to discuss these issues.
Design/methodology/approach
The methodology applied to implement the Kaizen in Indian small-scale industry. Fishbone diagrams have been used to represent cause and effects. The result has been shown as savings in terms of money and time.
Findings
Processing time has been reduced by 44.4 percent and an amount of Rs. 64,000 has been saved by recovering a total of 80 square feet working area. Improvements in the form of work flow have been achieved.
Research limitations/implications
Value stream mapping can be integrated with Kaizen for more reduction in the product lead time.
Practical implications
The paper will be worthily for practitioners and consultants for understanding Kaizen implementation in small-scale industry of India.
Originality/value
The paper yields lots of values for practitioners to understand the impacts and significance of the Kaizen in small-scale industries of India. Also it bridges the gap between theory and practical of Kaizen implementation in small-scale industry of India.
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Amit Kumar Arya and Suraj Choudhary
This study aims to represent Kaizen implementation in a machine vice manufacturing company. Kaizen has shown tremendous impacts on the production techniques and lead times. A…
Abstract
Purpose
This study aims to represent Kaizen implementation in a machine vice manufacturing company. Kaizen has shown tremendous impacts on the production techniques and lead times. A large number of small-scale industries have shown their existence in India. It has been difficult for small industries to survive due to tough competition among them. All are facing problems like low production and poor-quality products.
Design/methodology/approach
The methodology applied to implement Kaizen in Indian small-scale industry. Fishbone diagrams have been used to represent cause and effects. The result has been shown as savings in terms of money and time.
Findings
Inventory access time is reduced up to 87 per cent and total distance travelled and total time taken by product is reduced up to 43.75 and 46.08 per cent, respectively. A habit to maintain a clean workplace has been developed in workers.
Research limitations/implications
ISO could be integrated with Kaizen for more improvements.
Practical implications
The paper should assist those practitioners and consultants who have the desire to understand a better way of Kaizen implementation in small-scale industries of India.
Originality/value
This paper yields lots of values for practitioners to understand the need, impacts and significance of Kaizen implementation in small-scale industries of India. Also, it bridges the gap between theory and practice of Kaizen implementation in real working conditions in Indian industries.
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Aman Kumar, Amit Shankar, Rajesh Kumar and Ajith Kumar Vadakki Veetil
This study examines the effect of crucial factors (benefits and sacrifices) influencing employees' perceived values (hedonic and utilitarian) towards metaverse meeting platforms…
Abstract
Purpose
This study examines the effect of crucial factors (benefits and sacrifices) influencing employees' perceived values (hedonic and utilitarian) towards metaverse meeting platforms. Further, the study investigates the impact of employees' perceived values (hedonic and utilitarian values) on behavioral intention to use metaverse meeting platforms. The study also examines how behavioral intention to use metaverse meeting platforms influences organizational SDG achievement. Finally, the authors analyzed the moderating impact of employee creativity.
Design/methodology/approach
Data were collected from 228 participants through structured questionnaires, and the hypotheses were examined using the structural equation modeling approach.
Findings
Social presence and technostress are significantly associated with perceived hedonic value. Further, social presence, exhaustion and technostress are significantly associated with perceived utilitarian value. Similarly, perceived hedonic and utilitarian value is significantly associated with behavioral intention to use metaverse meeting platforms. Further, behavioral intention to use metaverse meeting platforms is also significantly associated with SDG achievement.
Originality/value
The study enriches the existing literature pertaining to the metaverse, strategic human resources, sustainability, employee creativity and technology adoption. The research also enriches the value-based adoption (VAM) and stimulus-organism-response (SOR) theories.
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Aman Kumar, Amit Shankar, Aqueeb Sohail Shaik, Girish Jain and Areej Malibari
This study investigates organizations' non-adoption intention towards the enterprise metaverse. The innovation resistance theory (IRT) is used as an underpinning theory to examine…
Abstract
Purpose
This study investigates organizations' non-adoption intention towards the enterprise metaverse. The innovation resistance theory (IRT) is used as an underpinning theory to examine the impact of various risks on non-adoption intention towards the enterprise metaverse.
Design/methodology/approach
A total of 294 responses were collected to examine the proposed hypotheses. A structural equation modelling technique was used to investigate the hypotheses using SPSS AMOS and PROCESS MACRO.
Findings
The results of this study reveal that performance, security and psychological risks are significantly associated with non-adoption intention towards enterprise metaverse. Further, distrust significantly meditates the association between performance risk, social risk, technological dependence risk, security risk and psychological risk and non-adoption intention towards enterprise metaverse. Moreover, the results of moderated-mediation hypotheses indicate that the mediating effect of distrust on the association among performance risk, social risk, psychological risk and non-adoption intention towards enterprise metaverse is higher for individuals having high technostress compared to individuals having low technostress.
Originality/value
The study's findings will enrich the metaverse literature. Further, it provides a deeper understanding of enterprise metaverse adoption from a B2B perspective using the underpinnings of IRT. The study helps organizations understand the risks associated with the adoption of the enterprise metaverse.
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The purpose of this research is to identify the most important attributes of metaverse influencers and examine their impact on customer engagement and social glue.
Abstract
Purpose
The purpose of this research is to identify the most important attributes of metaverse influencers and examine their impact on customer engagement and social glue.
Design/methodology/approach
Three studies (one qualitative and two quantitative) were conducted to understand the phenomenon better. The qualitative study (Study 1) was conducted to identify the antecedents of the theoretical model, which was tested in Study 2 using the covariance-based structural equation modelling (CB-SEM) technique. Study 3 then divided the respondents based on the metaverse influencer attribute preferences.
Findings
Results of Study 1 revealed the six most influential attributes of metaverse influencers: physical attractiveness, social attractiveness, perceived credibility, metaverse-influencer fit, intimacy and attitude homophily. Further, Study 2 validated that attractiveness and perceived credibility enhance engagement. Also, the results revealed that intimacy, perceived credibility and homophily enhance social glue. Moreover, parasocial relationships mediate the association between intimacy, attitude homophily, perceived credibility and (engagement and social glue). The conditional indirect effect of physical attractiveness, social attractiveness and metaverse–influencer fit on (engagement and social glue) via parasocial relationships at different high and low levels of self-discrepancy was significant. Finally, Study 3 used latent class analysis to reveal different clusters of metaverse users.
Originality/value
This research enriches our understanding of metaverse influencers, contributing to the influencer marketing literature. It offers actionable insights for marketers by elucidating key influencer attributes, aiding in enhancing engagement and social glue.
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Arjun J. Nair, Sridhar Manohar and Rishi Chaudhry
The discourse traverses the intricate landscape of the metaverse, exploring its evolution, intricacies, and the symbiotic integration of artificial intelligence (AI). The…
Abstract
The discourse traverses the intricate landscape of the metaverse, exploring its evolution, intricacies, and the symbiotic integration of artificial intelligence (AI). The metaverse, a virtual realm where individuals interact with digital entities, burgeons from a decades-old concept to a contemporary reality, captivating attention with its immersive potential. The union of AI and the metaverse heralds unprecedented possibilities and challenges. It fuels personalized recommendations, realistic avatars, intelligent Non-Playable Character (NPCs), and predictive analytics. However, concerns loom, spanning addiction, privacy, and security, as users immerse themselves in virtual realms, potentially neglecting real-world responsibilities and sharing sensitive information has been discussed in this chapter. The narrative further delves into the metaverse's anatomy, delineating its infrastructure, hardware, software, content creation, and commerce. The integration of AI into metaverse security epitomizes a confluence of innovation and growth. Balancing the potential benefits and risks, stakeholders embark on a journey toward a secure, immersive digital realm. The discourse advocates for proactive and responsible AI usage, encompassing transparency, accountability, and trustworthiness. Regulatory frameworks and standards emerge as essential guardrails, protecting user privacy and forestalling AI misuse.
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Anoop Pratap Singh, Ravi Kumar Dwivedi, Amit Suhane, K. Sudha Madhuri and Vikas Shende
This study aims to evaluate the influence of oleic acid (OA)-capped Al2O3 nanoparticles on the tribological performance of conventional lube oil. The goal is to determine the…
Abstract
Purpose
This study aims to evaluate the influence of oleic acid (OA)-capped Al2O3 nanoparticles on the tribological performance of conventional lube oil. The goal is to determine the optimal nanoparticle concentration that enhances lubricant efficiency by reducing friction and wear.
Design/methodology/approach
The research involved preparing nanolubricants with four different concentrations of Al2O3 nanoparticles: 0.05, 0.1, 0.25 and 0.5 wt.%. Tribological performance was assessed using a four-ball tribotester, which measured the coefficient of friction (COF) and wear scar diameter (WSD) under standardized testing conditions.
Findings
The experimental results revealed that the nanolubricant containing 0.1 wt.% OA-Al2O3 nanoparticles exhibited the most significant improvement in tribological performance. This formulation achieved a 38.84% reduction in COF and a 23.87% reduction in WSD compared to the base lubricant. These findings demonstrate the effectiveness of incorporating OA-capped Al2O3 nanoparticles in reducing friction and wear, thereby enhancing the overall performance of conventional lubricants.
Originality/value
This study demonstrates the benefits of OA-capped Al2O3 nanoparticles in lubricants, including a 38.84% reduction in COF and a 23.87% reduction in WSD. By systematically analyzing different nanoparticle concentrations, it identified that 0.1% by weight of nanoparticles is the most effective formulation for reducing friction and wear.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-06-2024-0236/
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Aman Kumar, Amit Shankar, Abhishek Behl, Debarun Chakraborty and Raghava R. Gundala
This research focuses on developing and testing a conceptual model that explores customer behavioural responses (engagement, experience and recommendation) towards generative…
Abstract
Purpose
This research focuses on developing and testing a conceptual model that explores customer behavioural responses (engagement, experience and recommendation) towards generative artificial intelligence (AI)-enabled chatbots. It highlights the significant influence of anthropomorphic characteristics in enhancing perceptions of competence and warmth, further enhancing perceived authenticity. In addition, this study aims to investigate how the need for social interactions moderates these relationships.
Design/methodology/approach
This study used a self-administered questionnaire distributed on Prolific Academic to gather data from 282 eligible participants worldwide. This study uses a structural equation modelling approach to answer the research questions.
Findings
The findings reveal that anthropomorphic characteristics of generative AI-enabled chatbots are positively associated with perceived competence. Moreover, the findings show that the perceived competence and warmth of generative AI-enabled chatbots are significantly associated with perceived authenticity. Furthermore, the results highlight that the perceived authenticity of generative AI-enabled chatbots is positively associated with customer engagement, experience and recommendation. Finally, the results illustrate that the impact of anthropomorphic characteristics on perceived warmth is significantly moderated by the need for social interaction.
Originality/value
This study enriches the generative AI literature and guides organizations in understanding consumer interactions for leveraging generative AI-enabled chatbots. Furthermore, this study contributes to the social response theory literature as this study investigates how user behavioural intentions towards generative AI-enabled chatbots are influenced by their perceived level of anthropomorphic characteristics.
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Aman Kumar, Amit Shankar, Ankit Mehrotra, Muhammad Zafar Yaqub and Ebtesam Abdullah A. Alzeiby
Metaverse is one of the decade’s most exciting and transformative technological innovations. While the metaverse holds immense promise, it has potential risks and dark sides. This…
Abstract
Purpose
Metaverse is one of the decade’s most exciting and transformative technological innovations. While the metaverse holds immense promise, it has potential risks and dark sides. This research aims to investigate and identify the crucial dark dimensions associated with the metaverse platforms.
Design/methodology/approach
Employing a qualitative phenomenological methodology, the authors interviewed 45 metaverse users to unravel dark dimensions related to the metaverse. Analyzing the themes extracted from the participants' insights revealed an alignment with the underpinnings of the Technology Threat Avoidance (TTA) theory.
Findings
The findings of this study revealed seven major dark dimensions: addiction and dependency, isolation and loneliness, mental health issues, privacy and security, cyberbullying and harassment, digital identity theft and financial exploitation.
Practical implications
The study helps organizations and metaverse platforms understand the crucial dark dimensions of the metaverse. This study concludes by synthesizing prevalent themes and proposing propositions, offering insights for practical application and policy considerations.
Originality/value
This study provides a deeper understanding of the dark side of the metaverse environment from a user perspective using the underpinnings of TTA theory.