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1 – 10 of 19Harjit Singh, Geetika Jain, Alka Munjal and Sapna Rakesh
The purpose of this paper is to determine the stakeholders’ acceptance on blockchain and to investigate the model fit by using “Technology Acceptance Model” with special reference…
Abstract
Purpose
The purpose of this paper is to determine the stakeholders’ acceptance on blockchain and to investigate the model fit by using “Technology Acceptance Model” with special reference to corporate governance through cryptography to resolve the decades-old problems of financial record-keeping.
Design/methodology/approach
The whole analysis has been performed in the two steps, i.e. confirmatory factors analysis and structural equation modeling, to prove model fit between behavioral intention and actual behavior for using blockchain technology. Total 223 respondents have been selected, and the selection of the respondent is primarily on the basis of their previous experience with trading corporate equities.
Findings
The study determines empirically all the mentioned relationships of attitude, perceived ease of use and perceived usefulness with the behavioral intention as per the conceptual model to prove the relationship. The results of the manuscript shows the model fit indexes for various constructs are prove the model fit as per the theorized model. The values of the various indexes are found to be under the permissible range which explains the relationship of various constructs based on the theorized model.
Research limitations/implications
Despite, the limitations in terms of selection of sampling methods, outcome and the interpretation, the results proves the fit with the theoretical framework. The major implication is to understand the real-time use of blockchain technology for the transfer of shares from one party to other.
Practical implications
Stakeholders in corporate governance namely customers, creditors, suppliers, community, employees, owners, investors, trade unions and social activists could benefit in different ways. Investors could benefit from being able to purchase equity at low price and to sell them into a market with greater liquidity, but they would found it difficult to camouflage their trades.
Social implications
The study opines that virtually all aspects of the corporate governance can be improved through the adoption of this technology resulting in greater transparency, improved liquidity and lowering costs.
Originality/value
This study will be a reference for global players in the financial industry that have started investing in this innovative technology vis-à-vis recent announcement of adoption of blockchain by global exchanges including NASDAQ, NYSE and Deutsche Borse, as a new method for trading, tracking ownership and monitoring systemic risk for strengthening corporate governance mechanism. This study will have a significant index for future reference where the technology adoption will be tested to have better corporate governance which will be useful for academics and professionals.
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Geetika Jain, Naman Sharma and Archana Shrivastava
Due to technology advancement or transparency in system, there is a constant inflow and outflow of technology in the business for transparency and efficiency. To seize a…
Abstract
Purpose
Due to technology advancement or transparency in system, there is a constant inflow and outflow of technology in the business for transparency and efficiency. To seize a competitive advantage, companies have emerged new technological solutions to respond to the change in the organization environment. There is a surge in the requirement of learning opportunities and effective training programs in the organization. The current study has been an effort to understand the potential of blockchain technology that can create better training evaluation.
Design/methodology/approach
The electronic-Delphi (e-Delphi) method has been conducted by recording the final consensus and to find a balance for implementation of blockchain technology and measuring training effectiveness. The current research is one of its new types where blockchain-enabled training effectiveness measurement (BETEM) model has been formulated using a qualitative approach.
Findings
The study has considered human resource (HR) professionals as the experts and based on their responses, the formulation of theoretical network model has been structured using e-Delphi–BETEM (e-DLH–BETEM) approach. By critically examining the experts’ responses and comments, the study formulated the four major themes and 11 subthemes for the smooth functioning of the BETEM for an organization.
Research limitations/implications
The research aims to aid innovations in BETEMs model for training evaluation. The model will contribute incrementally toward the complete transformation of the training development programs of employees. The goal of BETEMs is to ensure that organizations, specifically HR personals can prepare themselves to have competitive advantage by using blockchain technology.
Originality/value
The application of blockchain technology in measuring the training effectiveness is an addition to existing literature as majority of existing studies have studied the use of technology for measuring training effectiveness.
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Geetika Jain, Harjit Singh, K. R. Chaturvedi and Sapna Rakesh
The study is an attempt to explore much talked but less understood issue of “blockchain in logistics industry” in modern perspective. The customers' acceptance of blockchain…
Abstract
Purpose
The study is an attempt to explore much talked but less understood issue of “blockchain in logistics industry” in modern perspective. The customers' acceptance of blockchain technology in logistics and supply chain is tested through “Technology Acceptance Model” by using attitude, perceived usefulness (PU), perceived ease of use (PEOU), behavioral intention and use behavior.
Design/methodology/approach
Data has been collected through online and offline medium, where active 240 responses have been collected finally using convenience sampling. Confirmatory factor analysis with structural equation modeling (SEM) was carried out for data analysis.
Findings
The customers' acceptance of blockchain technology in logistics and supply chain is tested through “Technology Acceptance Model.” The findings reveal model fit where PEOU, PU and attitude are the major constructs of the model to realize the substantial gains in logistics process efficiency.
Research limitations/implications
Convenience sampling has been considered for the study to collect the data of online users of various technology applications for tracking and shipment detail, whereas a more specified method sampling can be considered for the future research. The study has been conducted in the Indian context, which has been considered as the limitation pertaining to generalization across countries and industries.
Practical implications
The findings of this study will be helpful for market practitioners to build transparency between customers and industry to overcome the frictions in logistics. Blockchain will help in monitoring the performance history and previous commitments of logistics professionals resulting in selecting a responsible logistics solution provider. Access to critical data by the authorized member of the supply chain will reduce unsubstantiated disputes.
Social implications
Blockchain technology will be available to everyone on the network. This will bring transparency and help logistics professionals such as carriers, shippers and brokers to detect early frauds and prevent thefts. It will increase customer trust toward any financial transaction for tracking the ownership of titles.
Originality/value
Blockchain technology is envisioned to be a technology that could be a game-changer for decentralizing infrastructure, introducing transparency and building trust in the supply chain. The current study is a novel addition to the literature where blockchain technology enables the indisputable storage of verified data that was previously kept in safeguarded silos.
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Loha Hashimy, Geetika Jain and Emili Grifell-Tatjé
Large attention surrounds identifying the meaningful blockchain business model on financial services, while a little focus about non-financial organizations and solutions in terms…
Abstract
Purpose
Large attention surrounds identifying the meaningful blockchain business model on financial services, while a little focus about non-financial organizations and solutions in terms of how the blockchain business model can affect the organization and bring more value. To address the complex structure of businesses that have public goods, it is important to develop sustainable blockchain-based business models.
Design/methodology/approach
This study offers the first qualitative research that uses an integrated technological, environmental and organizational (TOE) framework with technology acceptance theory (TAM) to study the adoption of blockchain technology by Spanish firms.
Findings
The results of the paper discuss how that competitive pressure, competence, top management support and relative advantage have a positive impact on intention to adopt blockchain technology while complexity affects the intention to adopt the technology negatively. Contrary to many adoption studies, the findings show that intention to adopt negatively impacts adoption and outline the effect of blockchain on business model elements on the macroeconomic level.
Originality/value
The key contribution of this study lies in providing a comprehensive understanding of the environmental, technological and organizational factors that impact the intention to adopt blockchain that eventually affects adoption.
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Nishant Kumar and Geetika Jain
The essence of blockchain governance is a far departure from the cryptocurrency or Bitcoin that has led to innovation and changing the outline of medical services. The major…
Abstract
Purpose
The essence of blockchain governance is a far departure from the cryptocurrency or Bitcoin that has led to innovation and changing the outline of medical services. The major challenge in medical services is the lack of accessibility of medical services and lack of awareness. A large group of the population belonging to an ethnic minority has a high rate of complications, re-operation and graft rejection. To connect with a minority group and address privacy and safety issues, blockchain-based e-health-care services have massive potential in the medical industry, especially from the perspective of the social aspect.
Design/methodology/approach
The study proposed a framework that describes the complex interplay of different stated factors, including perceived ease of use, trust, perceived usefulness and perceived security and privacy. The paper uses structural equation modeling to understand the ethnic minority group’s readiness to adopt blockchain-based e-health-care services.
Findings
It was found that all the direct relationships between variables are supported by the findings and have a significant positive relationship with the adoption intention. The tested framework will help regulatory bodies and marketers to develop support health-care service mechanisms for ethnic minority groups by addressing their issues related to security and privacy.
Originality/value
Blockchain-based e-health-care services have massive potential in the medical industry, although, its actual diffusion has not been explored much, with particular reference to an ethnic minority group. This study will explore the diffusion of smart health-care services with respect to ethnic minority group.
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Geetika Jain, Sapna Rakesh, Mohd Kamalun Nabi and K.R. Chaturvedi
This study aims to find the model fit to understand the consumer behavior in context to the hyper-personalization through digital clienteling by using structural equation…
Abstract
Purpose
This study aims to find the model fit to understand the consumer behavior in context to the hyper-personalization through digital clienteling by using structural equation modeling. The traditional method of customer passive observance has been transformed to dominance, where, the fundamental challenge for companies is to understand consumer behavior, work on cost-efficiency and implement sustainable innovation.
Design/methodology/approach
To investigate this emerging issue, this study aims to find the model fit via applying “Technology Acceptance Model” (TAM) and “Theory of Reasoned Action” (TRA) in context to the hyper-personalization through digital clienteling with special reference to women ethnic fashion wear.
Findings
The study findings depict the perceived ease of use (PEOU) and perceived usefulness (PU) of technology, attitude toward clienteling and subjective norm toward customization impact on customer intensions. The findings posited that perceived usefulness is having the strong relationship with purchase intention as compare to other variables. So, the analysis postulated that customer considered hyper-personalization is having perceived usefulness for customer and it also helps customer in getting the information about the product on the Web page.
Research limitations/implications
Because of lack of availability of resources, a specified sampling method has been used for this study. A new research, which will cover the fashion apparel from all the categories with a detailed study from the branded and non-branded point of view, will provide better description on this topic.
Practical implications
By having personalized Web page through big data analytics, customer will have positive experience and positive association with the company. The other parameters also play an important role toward the customer behavioral intention. The current study approaches new way of understanding the participative management of the personalization and tool to guide the work of strategy professionals and management of fashion e-commerce sector internationally and even in the other sectors also.
Social implications
Because of advancement of technology, the usage of online media is increasing day by day and this change is having high impact on the society, though we can innovate in any field or industry. Hyper-personalization has an impact on the online consumer buying behavior, which will affect the methods of searching information for consumers.
Originality/value
This new area of research is having large scope of future research from the fashion industry point of view. This paper is working as one of the element in the area of hyper-personalization through digital clienteling to gain sustainable results in the fashion industry.
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Amrinder Singh, Geetika Madaan, H R Swapna and Anuj Kumar
Introduction: Coronavirus-19 (COVID-19) global outbreak poses a danger to millions of people’s health and the uncertainty and financial prudence around the world. Without a doubt…
Abstract
Introduction: Coronavirus-19 (COVID-19) global outbreak poses a danger to millions of people’s health and the uncertainty and financial prudence around the world. Without a doubt, the sickness will place a tremendous strain on healthcare systems, which existing or traditional-based treatments cannot adequately handle. Only intelligence derived from diverse data sources can provide the foundation for rigorous clinical and social responses that optimise the use of constrained healthcare resources, create tailored patient treatment plans, educate policy-makers, and accelerate clinical trials
Purpose: This chapter aims to incorporate innovative practices of artificial intelligence (AI) into local, national, and global healthcare systems that can save lives of people and as well helps in human capital management ways that may be deployed rapidly and effectively with minimal errors.
Methodology: AI technologies and tools play a crucial part in COVID-19 crisis response by assisting with the virus discovery, early detection, and the development of effective medications and therapies. In this chapter, significant issues related to COVID-19 and how they may be addressed by applying HRM practices with recent advances in AI. Also, through a literature review of the recent studies implemented in a similar context, an AI solution is proposed by formulating a conceptual model.
Findings: This chapter offers that the latest AI techniques can assist policy-makers in implementing modern human capital management practices to fight against COVID-19. The goal is to remotely monitor patients utilising gadgets that are embedded with state-of-the-art medical technology. To limit hospital visits, or at least cut them down to a minimum, on the one hand, the health clinic also wants to deliver reliable health information to the doctors before or during virtual consultations.
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Geetika Madaan, Amrinder Singh, Amit Mittal and Padmakar Shahare
The circular economy (CE) promotes the recovery of value from waste while also working towards achieving long-term environmentally sustainable goals. The goal of this research is…
Abstract
Purpose
The circular economy (CE) promotes the recovery of value from waste while also working towards achieving long-term environmentally sustainable goals. The goal of this research is to explore the challenges, opportunities, future scope and green practices that small and medium-sized firms (SMEs) face as they move from the linear economy to the CE.
Design/methodology/approach
Based on a structured questionnaire, a survey was conducted with representatives from 163 SMEs in India. The data were analysed using co-variance based structural equation modelling technique.
Findings
This research identifies various challenges, including consumer acceptability, worries about awareness, recyclability issues, financial constraints and the absence of a defined management plan for SMEs in adopting the CE. Further, strong management will, innovation, technical up-gradation, training of employees, employee motivation and appropriate guidelines are recognized as essential possibilities for CE implementation.
Originality/value
While there has been some work on CE, no studies have directly compared these efforts with the goal of shifting from a linear economy to a CE. Given the transient nature of many archives, it is critical that the efforts put into them and the opinions of those who work in them be recorded so that communities can benefit from a shared linear economy in making decisions about their own history.
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Shalini Srivastava, Bindu Chhabra, Poornima Madan and Geetika Puri
The study aims to attempt to investigate the mediating role of fear-based silence (FBS) and moderating role of personality in the relationship between workplace bullying (WPB) and…
Abstract
Purpose
The study aims to attempt to investigate the mediating role of fear-based silence (FBS) and moderating role of personality in the relationship between workplace bullying (WPB) and workplace withdrawal (WW) in hotel industry.
Design/methodology/approach
Drawing upon conservation of resources theory, two waves approach was used to collect data from 263 hotel employees in India. Partial Least Squares (PLS) based Structural Equation Modeling (SEM) was used to analyse the data.
Findings
Fear based silence was seen to mediate the relationship between WPB and WW. Further, proactive personality moderated the relationship between FBS and WW.
Practical implications
The present study has vital implications for practitioners, academicians and policy makers. Executives must take cognizance of incidences of WPB and take on well-timed actions to curb it altogether. Taking into consideration the significance of resources in mitigating the adverse impacts of WPB, organizations must try to promote conditions necessary for that resource acquisition.
Originality/value
This is the first study to examine FBS as a mediator in the relationship between WPB and WW.
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Sanjeet Singh, Geetika Madaan and Amrinder Singh
Purpose: The availability of resilient energy infrastructure and services is crucial to achieving sustainable development goals. However, defined and trustworthy definitions of…
Abstract
Purpose: The availability of resilient energy infrastructure and services is crucial to achieving sustainable development goals. However, defined and trustworthy definitions of resilience exist solely for engineering and energy systems, particularly in the industrialised world or metropolitan systems. However, no universally accepted definition considers the distinctive characteristics of rural regions in developing economies. To define resilience for rural power systems in developing countries, this chapter synthesises many perspectives on resilience, energy systems, and rural environments.
Methodology: It draws on extensive literature assessments on resilience, particularly concerning energy systems and rural areas, as well as other pre-existing frameworks.
Findings: To account for the unique challenges of electricity supply in rural developing nations, a comprehensive ‘Rural Power System Resilience Framework’ is introduced, including technical, economic, and social resilience.
Social implications: To better understand the elements contributing to the stability of electricity grids in developing nations and rural areas, this resilience framework may be utilised by global markets, system owners and operators, government officials, non-governmental organisations, and communities.
Originality: Through establishing this framework, this study sets the path for developing suitable and ‘effective resilience standards’ tailored for implementation in these rural areas, with the ultimate goal of facilitating the fulfilment of achieving domestic and worldwide sustainability objectives.
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