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.
Details
Keywords
Anita M. Chappalwar, Vikas Pathak, Meena Goswami, Arun Kumar Verma, V. Rajkumar and Prashant Singh
The present study was conducted to evaluate the effect of banana peel flour as fat replacer on rheological, physico-chemical, textural, mineral content and sensory properties of…
Abstract
Purpose
The present study was conducted to evaluate the effect of banana peel flour as fat replacer on rheological, physico-chemical, textural, mineral content and sensory properties of chicken patties.
Design/methodology/approach
Ultra low fat chicken patties were prepared with incorporation of banana peel flour at 0% (C), 1% (BP1), 2% (BP2) and 3% (BP3) levels separately to replace 50% externally added vegetable fat in formulation and evaluated for various quality characteristics and sensory attributes.
Findings
Highest G' and G''? modulus were observed in banana peel powder incorporated emulsion. No cross-point was observed at all ranges of frequency in meat emulsions prepared with banana peel. Among physico-chemical properties, control had significantly (p < 0.05) higher emulsion pH, emulsion stability, product pH, water activity values, fat and cholesterol content; however, cooking yield, moisture and ash content, fat retention and moisture retention values increased significantly (p < 0.05) in treatment patties. Mineral, textural and colour parameters had a significant (p < 0.05) effect except on manganese content and a* values. Various sensory scores decreased significantly (p < 0.05) with increased level of banana peel flour.
Practical implications
Sensory scores of 3% banana peel powder incorporated patties were significantly (p < 0.05) lower than other treatments. There was no significant difference between 1 and 2% banana peel incorporated chicken patties. Therefore, an ultra low fat chicken patties incorporated with 2.0% banana peel flour to replace 50% vegetable fat were selected as the best treatment.
Originality/value
Present global trend and life style are currently driving ready-to-eat healthy meat products and factors include extended working hours, increasing number of single-person households and perception of food as reward. Fat is an important component of meat products and imparts tenderness, improving flavor and mouth feel to processed meat products, like chicken patties. However intake of excess energy in form of saturated and unsaturated fat may lead to various life style diseases in consumers. Hence development of ultra low fat chicken patties with incorporation of fruit waste without adverse effect on sensory properties may be a significant challenge.
Details
Keywords
Prashant Mehta, Debarun Chakraborty, Nripendra P. Rana, Anubhav Mishra, Sangeeta Khorana and Kaouther Kooli
The importance of key account management (KAM) as a management technique in business-to-business markets has grown in recent years. The success of KAM programmes is highly…
Abstract
Purpose
The importance of key account management (KAM) as a management technique in business-to-business markets has grown in recent years. The success of KAM programmes is highly dependent on the efforts of individual employees, specifically key account managers. Research on KAM at an individual level is important but lacking in the academic domain. This study aims to fill this gap by developing and evaluating a model of key account manager personality traits and how they impact the adoption of artificial intelligence (AI) technologies. The study also depicts the effect of the adoption of AI technologies on competitive advantage and firm performance.
Design/methodology/approach
The study examines how the adoption of AI technologies impacts firms’ competitive advantage and performance. The study used competitive advantage as a mediator and organisational culture as a moderator. A mixed-method analysis was used to conduct the study. In the first phase, an exploratory study was conducted using interviews with 26 key account managers from the automobile industry and thematic analysis to establish 9 constructs. In the second phase, which is a confirmatory study, 496 respondents finally responded to the questionnaire.
Findings
All constructs are used for confirmatory analysis and validate the data. Our research shows that key account managers’ adoption of AI technologies is influenced significantly by personality traits. Extraversion, agreeableness, conscientiousness, neuroticism and openness have substantial links to adopting AI technologies, which impacts firms’ competitive advantage and performance. Organisational culture significantly moderates the association between agreeableness and the adoption of AI technologies.
Practical implications
The findings of this research allow organisations to optimise team composition, customise training programs based on individual traits and incorporate personality assessments into recruitment processes for streamlined technology adoption and improved competitiveness. Overall, these actions aim to enhance AI integration, driving competitive advantage and client satisfaction.
Originality/value
This study stands out as one of the limited inquiries examining how the Big-five personality traits of key account managers influence the integration of AI technologies and its resulting impact on company performance. Therefore, this research makes notable contributions to the realms of organisational psychology and technology adoption studies.
Details
Keywords
Sundeep Singh Sondhi, Prashant Salwan, Abhishek Behl, Suman Niranjan and Tim Hawkins
This paper aims to derive a model that explores how the interplay between knowledge integration capability and innovation impacts strategic orientation, leading to the attainment…
Abstract
Purpose
This paper aims to derive a model that explores how the interplay between knowledge integration capability and innovation impacts strategic orientation, leading to the attainment of sustainable competitive advantage. The study considers the constituents of strategic orientation, namely, customer orientation, competitor orientation and technology orientation, as the basis for achieving sustainable competitive advantage. The study suggests that the firm’s capacity for integrating external and internal knowledge shapes how strategic orientation influences sustainable competitive advantage through service innovation.
Design/methodology/approach
This empirical research relies on qualitative and quantitative data gathered from telecom professionals to assess how knowledge integration and service innovation influence sustained competitive advantage. Structured equation modeling is used to examine the model and its interrelationships.
Findings
The research establishes significant relationships between strategic orientations, knowledge integration capability, service innovation and sustainable competitive advantage. Knowledge integration capability and service innovation are found to mediate the relationship between strategic orientations and the achievement of sustainable competitive advantage.
Practical implications
The study highlights the significant contribution of a firm’s knowledge integration capability in driving service innovation, especially in technology-intensive service industries facing hypercompetition. It also advocates prioritizing technology orientation and integrating knowledge from internal and external sources for competitive advantage.
Originality/value
To the best of the authors’ knowledge, this study is the first to model the effect of knowledge integration capability and service innovation on strategic orientation-led sustainable competitive advantage.
Details
Keywords
Prashant Salwan, Atul Patankar, Bhaskar Shandilya, Srinivasan Iyengar and Meghwant Singh Thakur
Project delivery organizations (PDO) have to develop competitive advantage against new entrants. This study aims to explore the knowledge conversion transactions proposed by…
Abstract
Purpose
Project delivery organizations (PDO) have to develop competitive advantage against new entrants. This study aims to explore the knowledge conversion transactions proposed by Nonaka and Takeuchi (1995) in project phases through the interplay of dynamic and operational capabilities. This study is based on a case study for a PDO in the engineering industry.
Design/methodology/approach
This study proposes a model of dynamics between the constructs, and its illustration with a case study of a PDO. The research extends the socialization, externalization, combination and internalization (SECI) model of knowledge management (KM).
Findings
This study provides an overview of existing research related to the constructs like applicability of operational and dynamic capabilities, knowledge configuration and knowledge management processes to individual projects delivered by a PDO for its clients. Further, this study provides an overview of the knowledge configuration adopted by an organization and how it helps to build the competitive advantage of an organization.
Research limitations/implications
This study proposes a model for applying the constructs to each of the phases of a project. It then illustrates the knowledge value chain in a PDO in the field of engineering projects with detailed insights into the steps of sensing, seizing and sharing knowledge across the project life cycle.
Practical implications
Project-based firms can use the learnings and create their own SECI model linking the conceptual model of KM and PDO and KM value chain.
Social implications
In social projects implementation, this conceptual model and process will be helpful in building efficiency and effectiveness.
Originality/value
This case study presents the knowledge value chain in a PDO in the field of engineering projects with detailed insights into the steps of sensing, seizing and sharing knowledge across the project life cycle.
Details
Keywords
Prashant Premkumar, S.D. Sumod, A. Rajeev and P.N. Ram Kumar
The present study examines the impact of sustainable transitions on the energy and environmental efficiency (EEE) of nations across the developed and developing world. It studies…
Abstract
Purpose
The present study examines the impact of sustainable transitions on the energy and environmental efficiency (EEE) of nations across the developed and developing world. It studies the temporal shift in the share of renewable sources in energy generation. It also analyses the shift in the efficiency frontier of nations using data envelopment analysis (DEA). Further, it studies the macro-level drivers of EEE in the countries.
Design/methodology/approach
As the first step, we benchmark the EEE of the developed and developing nations using DEA. Subsequently, we look at the influence of institutional quality, human capital, R&D and knowledge systems on EEE, to develop a comprehensive understanding of the macro-level drivers of EEE.
Findings
Our analyses reveal that a country’s institutional quality, human capital and R&D are critical determinants of EEE. The results show that while human capital has a significant positive impact on EEE, R&D expenditure alone has no substantial impact. The findings also suggest that knowledge diffusion disperses best practices across nations and bridges EEE gaps.
Practical implications
Attempts to promote sustainable energy transitions and improve EEE have met with varying levels of success. The results of this study will provide a useful guideline for the governments to achieve the goal of EEE through sustainable energy transitions (SET).
Originality/value
Unlike previous studies, we adopt a multi-factor EEE assessment. We also examine additional influences like the human capital of a nation and its knowledge management system to develop a comprehensive understanding of the macro-level drivers of EEE.
Details
Keywords
The main purpose of this chapter is to study and analyze the impact of metaverse (mixed reality) on health tourism in the major tourist destinations in India and the global…
Abstract
The main purpose of this chapter is to study and analyze the impact of metaverse (mixed reality) on health tourism in the major tourist destinations in India and the global market. This chapter is made as a case study with detailed mentions of factors for tourism promotion for metaverse, sustainability, and crisis management. This chapter has tried to explain the role of the metaverse in tourism marketing and the cognitive level of influence the metaverse possesses among tourists which makes them prefer repeated visits. Also, the chapter tried to assess the existing conditions in the tourism industry which positively or negatively impact the health sector due to the role of metaverse. This chapter ends with giving inspirational notes to future researchers to examine the conceptual understanding of metaverse as a major tool for destination tourism emphasizing health, wellness, and happiness.
Details
Keywords
Nivisha Singh, Prashant Salwan, Sachin Kumar Mangla and Demetris Vrontis
The purpose of this study is to provide a holistic view of how the different dimensions of absorptive capacity (AC) impact reverse knowledge transfer (RKT). Although the…
Abstract
Purpose
The purpose of this study is to provide a holistic view of how the different dimensions of absorptive capacity (AC) impact reverse knowledge transfer (RKT). Although the importance of AC has been realized in knowledge and RKT literature, scholars have hardly explored the differentiated importance of each component of AC. When knowledge leads to competitive advantage, understanding the differentiated contribution will help enhance the impact of AC on RKT. This becomes even more important for emerging economy multinationals (EMNCs), which struggle in the global market and suffer from various liabilities. Therefore, this study focuses on the multidimensional impact of AC on RKT from Indian multinational subsidiaries based in developed nations to their parent firm.
Design/methodology/approach
This study is a quantitative study. The authors tested the research model using a structural equation modeling design based on survey data collected from subsidiaries (in developed economies) of Indian multinationals.
Findings
The results show that acquisition, assimilation and transformation components of AC have positive impact on RKT. However, the authors found that the exploitation dimension has no impact on RKT.
Originality/value
To the best of the authors’ knowledge, the research design is original and this is the first study on the impact of all components of AC on RKT. AC is one of the most widely researched variables in knowledge literature, including different versions of Zahra and George’s concept of AC. However, its impact has not been explored much in RKT literature. This study addresses this gap and extends the literature on AC and RKT. The advantages of this study can be seen at the team and organization level.
Details
Keywords
Anil Kumar Goswami, Anamika Sinha, Meghna Goswami and Prashant Kumar
This study aims to extend and explore patterns and trends of research in the linkage of big data and knowledge management (KM) by identifying growth in terms of numbers of papers…
Abstract
Purpose
This study aims to extend and explore patterns and trends of research in the linkage of big data and knowledge management (KM) by identifying growth in terms of numbers of papers and current and emerging themes and to propose areas of future research.
Design/methodology/approach
The study was conducted by systematically extracting, analysing and synthesizing the literature related to linkage between big data and KM published in top-tier journals in Web of Science (WOS) and Scopus databases by exploiting bibliometric techniques along with theory, context, characteristics, methodology (TCCM) analysis.
Findings
The study unfolds four major themes of linkage between big data and KM research, namely (1) conceptual understanding of big data as an enabler for KM, (2) big data–based models and frameworks for KM, (3) big data as a predictor variable in KM context and (4) big data applications and capabilities. It also highlights TCCM of big data and KM research through which it integrates a few previously reported themes and suggests some new themes.
Research limitations/implications
This study extends advances in the previous reviews by adding a new time line, identifying new themes and helping in the understanding of complex and emerging field of linkage between big data and KM. The study outlines a holistic view of the research area and suggests future directions for flourishing in this research area.
Practical implications
This study highlights the role of big data in KM context resulting in enhancement of organizational performance and efficiency. A summary of existing literature and future avenues in this direction will help, guide and motivate managers to think beyond traditional data and incorporate big data into organizational knowledge infrastructure in order to get competitive advantage.
Originality/value
To the best of authors’ knowledge, the present study is the first study to go deeper into understanding of big data and KM research using bibliometric and TCCM analysis and thus adds a new theoretical perspective to existing literature.