Prashant Shukla, H. James Wilson, Allan Alter and David Lavieri
The authors explore the potential of machine learning, computers employ that an algorithm to sort data, make decisions and then continuously assess and improve their…
Abstract
Purpose
The authors explore the potential of machine learning, computers employ that an algorithm to sort data, make decisions and then continuously assess and improve their functionality. They suggest that it be used to power a radical redesign of company processes that they call machine reengineering.
Design/methodology/approach
The authors interpret a survey of more than a thousand corporate public agency IT professionals on their use of artificial intelligence and machine learning.
Findings
Companies that embrace machine learning find that it adds value to the work product of their employees and provides companies with new capabilities.
Practical implications
Working together with an intelligent machine, workers become custodians of powerfully smart tools, tools that personalize work to maximize their most productive ways of working.
Originality/value
A guide to establishing a culture that empowers employees to thrive alongside intelligent machines.
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Poornima Jirli and Anuja Shukla
The Metaverse, an emergent Web 3.0 platform, offers users immersive virtual reality experiences. This study employs a case study approach to explore the concept of sustainability…
Abstract
The Metaverse, an emergent Web 3.0 platform, offers users immersive virtual reality experiences. This study employs a case study approach to explore the concept of sustainability within the Metaverse. It examines the environmental, social, and economic implications of virtual interactions and the role of sustainable technologies in shaping user behavior and virtual economies. Through selected case studies, the research provides insights into the potential and challenges of integrating sustainable practices in the Metaverse, with implications for stakeholders ranging from policymakers to end-users.
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This study investigates shifts in luxury consumers' perceptions regarding luxury consumption, subsequent changes in the meaning of luxury and antecedents of luxury observed amidst…
Abstract
Purpose
This study investigates shifts in luxury consumers' perceptions regarding luxury consumption, subsequent changes in the meaning of luxury and antecedents of luxury observed amidst the COVID-19 pandemic.
Design/methodology/approach
Overall, 145, one-to-one qualitative interviews were conducted online with luxury consumers and the data acquired was analysed using NVivo.
Findings
Phygital connectedness and access-based consumption are the future of luxury for luxury consumers' well-being, social connectedness, living experience and rational and thoughtful luxury consumption. Moreover, distinct luxury symbols (e.g. conciseness towards societal connotation of luxury goods and consumption, empathy, wisdom and maturity) and transformation expectations (for the self, others in society and luxury brands) govern luxury consumption behaviour.
Research limitations/implications
The meaning of luxury amidst the pandemic is explained along a continuum, from luxury transforming consumers' inner selves to influencing other consumers' lives to transforming society.
Practical implications
Luxury professionals should include phygital experience, sustainability, social–cultural sensitivity, empathy, symbolism, mindfulness and thoughtfulness in marketing strategies.
Originality/value
New perspectives have enriched the realm of luxury.
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Prashant Kumar Gupta and Seema Sharma
This paper aims to identify specific corporate governance determinants of asset quality in the Indian banking system and suggest a future course of action for research in the…
Abstract
Purpose
This paper aims to identify specific corporate governance determinants of asset quality in the Indian banking system and suggest a future course of action for research in the Indian banking industry. The results will guide other developing nations to handle poor asset quality in banks. Nations with economic interest in India can take cognisance from the results.
Design/methodology/approach
The authors identify the determinants of asset quality for the Indian banks using novel data from 2010 to 2019 through a dynamic panel data approach. The authors analyse 45 public and private sector banks using general method of moments.
Findings
The results indicate that intensity of board activities, board functioning and ownership concentration are significant determinants of asset quality. Furthermore, the study hypotheses on board independence and board size are rejected as they do not significantly impact the asset quality. The authors also call for further research on the qualitative aspects of gender diversity, board independence and special committee activity for better insights.
Originality/value
This is the first study to identify specific corporate governance determinants of asset quality for the Indian banking system using a dynamic panel data approach with data spanning over ten years from 45 banks. Unlike all other studies, the authors have used both bank-specific and macroeconomic variables as control variables, making the results accurate and reliable. The authors also recognise the persistent nature of asset quality.
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Dhanraj P. Tambuskar, Prashant Jain and Vaibhav S. Narwane
With big data (BD), traditional supply chain is shifting to digital supply chain. This study aims to address the issues and challenges in the way toward the implementation of big…
Abstract
Purpose
With big data (BD), traditional supply chain is shifting to digital supply chain. This study aims to address the issues and challenges in the way toward the implementation of big data analytics (BDA) in sustainable supply chain management (SSCM).
Design/methodology/approach
The factors that affect the implementation of BDA in SSCM are identified through a widespread literature review. The PESTEL framework is used for this purpose as it covers all the political, economic, social, technological, environmental and legal factors. These factors are then finalized by means of experts' opinion and analyzed using structural equation modeling (SEM).
Findings
A total of 10 factors are finalized with 31 sub-factors, of which sustainable performance, competitive advantage, stakeholders' involvement and capabilities, lean and green practices and improvement in environmental performance are found to be the critical factors for the implementation of BDA in SSCM.
Research limitations/implications
This research has taken up the case of Indian manufacturing industry. It can be diversified to other geographical areas and industry sectors. Further, the quantitative analysis may be undertaken with structured or semi-structured interviews for validation of the proposed model.
Practical implications
This research provides an insight to managers regarding the implementation of BDA in SSCM by identifying and examining the influencing factors. The results may be useful for managers for the implementation of BDA and budget allocation for BDA project.
Social implications
The result includes green practices and environmental performance as critical factors for the implementation of BDA in SSCM. Thus the research establishes a positive relationship between BDA and sustainable manufacturing that ultimately benefits the environment and society.
Originality/value
This research addresses the challenges in the implementation of BDA in SSCM in Indian manufacturing sector, where such application is at its nascent stage. The use of PESTEL framework for identifying and categorizing the factors makes the study more worthwhile, as it covers full spectrum of the various factors that affect the strategic business decisions.
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Prashant Mahajan and Suresh Golahit
The purpose of this paper is to examine the relationships of service marketing mix (SMM) as service input and service output in terms of students’ performance, satisfaction and…
Abstract
Purpose
The purpose of this paper is to examine the relationships of service marketing mix (SMM) as service input and service output in terms of students’ performance, satisfaction and referral act in context to higher and technical education (HTE) through the application of structural equation modeling.
Design/methodology/approach
A quantitative research, conducted through a self-administered survey composed by a closed-ended structured questionnaire, was incorporated for the students who were enrolled in the technical educational institutions situated in the Khandesh region of India.
Findings
The findings of this study revealed that traditional SMM is statistically linked with the performance of students in terms of skill and knowledge enhancement, satisfaction and referral act of students, which are perceptible new emerging SMM; performance, pleasure and pointing out in terms of service output.
Practical implications
Integrating SMM as service input and service output are productive for HTE in enhancing growth (quantitatively) by the inclusivity of diversified students and development (qualitatively) by enhancing their performance for global standing, making them satisfied and motivating them for recommending their institution to others. This integration can be utilized as a yardstick by the institutions for staying ahead in students’ market with a distinctive competitive advantage.
Social implications
Growth and development of HTE will raise a society’s quality of life and thereby increase a country’s socio-economic status.
Originality/value
The study has exhibited SMM as input and output of a service system that is useful for the growth and development of HTE. The measurement tool presented is effective in (re)framing policies on SMM as service input based on desired service output.
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Udgam Mishra and Nirma Sadamali Jayawardena
It has become obvious to companies that the metaverse may help maximize profits. The purpose of this chapter is to describe the uses and possibilities of metaverse-based virtual…
Abstract
It has become obvious to companies that the metaverse may help maximize profits. The purpose of this chapter is to describe the uses and possibilities of metaverse-based virtual and augmented reality technologies in the future. Brands can now engage with customers at a completely new level of interaction through Metaverse, which cannot be achieved within current marketing channels. Immersive XR environments may require decision makers to reexamine customer journeys, demographic characteristics, and customer personas. The main purpose of this chapter is to present an overview of metaverse applications. Further this section reveals the ways in which the business and education industry can benefit through metaverse applications. Additionally, this section reveals the real-world applications of technology in metaverse for avatar, gaming, and prospects. Finally, this chapter sheds light on the academics and practitioners by showing how metaverse elements can contribute for business processes.