Adoption In India Research Articles

Digital Dividends: Exploring The Impact Of Telecommunication Infrastructure On Economic Growth In India

This paper examines the effect telecommunications infrastructure has on the growth of the Indian economy, emphasising the role that telecommunication usage and tools play on the GDP per capita and other economic parameters. It accesses information from different organisations, including the Telecom Regulatory Authority of India and UDISE+, to study the links between wireless and wireline users, user density, and school digital access and their impact on economic indicators. With advanced econometrics models, i.e. OLS regression, correlation analysis, random forests, step-wise regression, granger analysis, adfuller, and others, predictable solid relationships and directional relationships are proved to exist between the telecommunications background and GDP growth variable. The study results indicate that in India, there is a strong correlation between internet access in schools and wireless internet users. Moreover, it proposes policies to catalyse economic growth and digital adoption in India. It is a resource that policymakers can leverage to make the right decisions in harnessing the power of ICT for economic development

An empirical study on electric vehicle adoption in India: A step towards a greener environment

The Indian automobile industry is witnessing a paradigm shift from fossil fuel to green energy. The current study employs an extended version of the theory of planned behaviour (TPB) to investigate the impact of attitudes, green nudges and perceived behavioural control on the behavioural intention (BI) for adoption of electric vehicles (EVs) by Indian consumers. Environmental concern is also added to the model to find its impact on actual buying behaviour (AB). Conclusive research is carried out, and data is collected through a structured questionnaire. 342 respondents were analysed using a two-step investigation approach: Partial least square-structural equation modelling (PLS-SEM), followed by an artificial neural network (ANN). Subsequently, two models are formed to determine the predictors of BI and AB. The findings suggest that all three factors positively impact BI and AB. Attitude plays the most significant role in BI (the most important predictor of AB). The study's findings also suggest that the extended TPB model is effective for forecasting customers' adoption intentions towards EVs. Moreover, this research adds to the existing literature on the intention and reluctance of consumers to embrace green technology. The results of this study will have significant implications not only for a greater understanding of customer behaviour regarding the adoption of EVs, but also for exploring their market expansion, product offerings, consumer BI and framing policies.

Examining the dynamics of risk associated with green investment in India: a study on fintech and green bonds for clean energy production

PurposeThe research investigates how green bonds and Fintech contribute to advancing sustainable energy adoption in India while addressing the intricate investment risks associated with green initiatives.Design/methodology/approachThis study employs a stringent approach, conducting an extensive examination of data to analyze the interplay among green bonds, Fintech, and the renewable energy industry in India.FindingsThe study unveils Fintech’s capacity to optimize financing for renewable projects in India by leveraging blockchain technology and digital platforms, enhancing accessibility and investor confidence. Additionally, it underscores the role of green bonds in fostering the development of eco-friendly energy sources.Originality/valueThis research offers novel insights into the dynamic relationship among green bonds, Fintech, and India’s renewable energy sector. It emphasizes the importance of adaptable regulatory frameworks in facilitating sustainability efforts and provides valuable guidance for stakeholders navigating environmental initiatives.

An appraisal of barriers to digitalisation of construction industry in developing countries: perspective from India

Digitalisation in the construction sector promises numerous benefits, yet its widespread adoption in India faces impediments. This study aims to identify and analyse critical barriers hindering the adoption of digitalisation within the Indian construction sector. The study adopts a multi-phase research approach, involving a literature review to identify potential barriers. Subsequently, a questionnaire was administered to 162 professionals in the Indian construction industry. The survey reveals a willingness within the Indian construction sector to embrace digitalisation, citing benefits such as enhanced productivity and revolutionary impacts on construction processes. Larger organizations exhibit greater proactivity, while smaller businesses face challenges in resources and knowledge, leading to slower adoption rates. The study identifies five key themes of barriers, including financial/resource constraints, cultural/organisational constraints, regional disparities, data security/privacy concerns, and awareness/capacity-building constraints. The implication of the study is to unveil crucial barriers and provide insights for tailored interventions, aiding stakeholders, policymakers, and researchers in navigating the evolving digital landscape of the Indian construction industry. This study contributes to the exploration of perceptions of construction professionals specifically in India on why digitalisation is not fully embraced in the Indian construction sector.

Electric Vehicle Adoption in India: Assessing Current Status and Customer Perceptions

Electric Vehicle Adoption in India: Assessing Current Status and Customer Perceptions

Electric two-wheeler adoption in India – A discrete choice analysis of motivators and barriers affecting the potential electric two-wheeler buyers

An impetus towards the electrification of mobility is crucial for India. However, the adoption rates of electric two-wheelers remain low, and hence, for fruitful penetration of electric two-wheelers in India, this study analyses the factors affecting the adoption behaviour of electric two-wheelers using discrete choice models. This study uses data collected from 1375 potential electric two-wheeler buyers of Bengaluru, India, to study the influence of various vehicle attributes such as purchase price, operating cost, charging time, driving range, charging infrastructure and exhaust emissions on the intention to adopt electric two-wheelers. In addition, the impact of important policies such as free and reserved parking, access to priority lanes and toll tax exemption for electric two-wheeler owners is also analysed and discussed in this study. Apart from the vehicle attributes, this study also studies the effect of socio-demographic variables, travel variables and certain attitudinal latent variables such as environmental enthusiasm, technological enthusiasm, and perceived social image on the electric two-wheeler adoption behaviour. The results reveal purchase price, operating cost and charging time to have a significant negative impact and driving range and density of the charging infrastructure network to have a significant positive impact on the intention to adopt electric two-wheelers.

A Study of E-recruitment technology adoption in India

A Study of E-recruitment technology adoption in India

Determinants of electric vehicle adoption: insights from Indian states

PurposeElectric Vehicles (EVs), owing to their low carbon emissions, have gained immense importance in achieving net-zero emissions by 2070. They have also appeared as viable substitute to conventional vehicles. Aligning with global initiatives, India has created a favourable ecosystem and has implemented several policies since 2011 to achieve its target. Consequently, the market share of EVs has surged, both globally and in India, over the past decade. Taking this into account, this study aims to identify the factors that influence EVs in a developing economy using the context of India.Design/methodology/approachThis study identified important determinants of EV adoption from global literature and employed a multiple linear regression model (MLRM) using the ordinary least squares (OLS) technique. Secondary data were utilised to identify determinants in the Indian context, sourced from the Ministry, NITI Aayog, AQI, the Lok Sabha Question, and the Economic Survey of India.FindingsThis study found that the number of charging stations and local pollution levels significantly influence EV adoption in India. The insignificance of the other variables may be due to the emerging state of the Indian EV market.Originality/valueThis study adds to the growing body of literature on EV adoption in developing economies by analysing the factors that impact its adoption using regional data. In addition, this study provides a unique perspective on a developing economy and advocates a comprehensive policy for EV adoption that reflects long-term sustainability.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2023-0479.

Sustainable mobility perspectives: exploring the impact of UTAUT2 model on fostering electric vehicle adoption in India

PurposeThe global automobile industry is striving towards a sustainable future. Emerging countries including India are gearing up for the revolution. Considering the key role of customer acceptance in the success of any technological shift, the study endeavors to ascertain the catalysts accelerating the adoption of Electric Two-Wheelers (E2W) in India by leveraging an extended Unified Theory of Acceptance and Use of Technology-2 model. The same would assist Electric Vehicle (EV) stakeholders in directing their efforts toward pivotal aspects having the potential to significantly bolster E2W penetration.Design/methodology/approachData was collected using convenience sampling technique from 1,254 electric two-wheeler owners across four Indian states and analyzed using Structural Equation Modelling.FindingsPerformance Expectancy, Price Value and Hedonic Motivation have a significant influence on purchase intention leading to actual buying behavior. Effort Expectancy, Social Influence, habit value and facilitating conditions were insignificant. Pro-Environmental Approach and Government Support significantly impact adoption intention and behavior respectively in addition to model predictors thus supporting the study’s novelty. Purchase intention proved to influence Actual Buying Behavior. Synergized efforts of EV stakeholders towards performance innovation, cost-effectiveness, improved infrastructure and information diffusion on sustainability and user-friendliness could aid in achieving transition to green mobility.Originality/valueThe study predominantly intends to address the intention–behavior gap related to electric two-wheelers in India. Also, two additional constructs, government support and pro-environmental approach, were incorporated resulting in a novel research framework that aims to test their nuanced ability to impact the model predictors.

What Drives Mobile Payment Fin Tech Adoption in India?

This study aimed to determine the drivers of mobile payment FinTech adoption. The study was conducted with 306 generation Y (Gen Y) and generation Z (Gen Z) FinTech users, and data were analyzed using structural equation modelling (SEM) through partial least squares and analysis of variance (ANOVA). The present study investigates some interesting and novel associations among variables that contribute to the literature, such as the mediating effect of effort expectancy, facilitating condition, performance expectancy and social influence between the association of financial literacy and behavioural intention, and investigates the unified theory of acceptance and use of technology (UTAUT) constructs (effort expectancy, facilitating condition, performance expectancy and social influence), technology acceptance model 3 (TAM 3) constructs (perceived enjoyment and self-efficacy), financial literacy and demographic features as drivers of FinTech adoption. The results indicate that effort expectancy, performance expectancy, facilitating conditions, financial literacy and self-efficacy are strong drivers of FinTech adoption. Perceived enjoyment and social influence do not influence users’ behavioural intention to adopt mobile payment services. JEL Codes: G41, O30, O31, 033

Techno-Economic and Sustainable Challenges for EV Adoption in India: Analysis of the Impact of EV Usage Patterns and Policy Recommendations for Facilitating Seamless Integration

This paper explores the intricate challenges that are impeding the widespread adoption of Electric Vehicles (EVs) and explores the concerted efforts of the research community towards addressing these obstacles. The surge in interest surrounding EVs as a sustainable transportation alternative is undeniable, yet several hurdles persist in hindering their mass acceptance. From limitations in battery technology and charging infrastructure to concerns over range anxiety and manufacturing sustainability, these challenges form a multifaceted barrier. However, the research community has been actively engaged in tackling each issue with innovative solutions. Advancements in battery chemistry and energy storage, coupled with improvements in charging networks and smart grid integration, are poised to reshape the EV landscape. Moreover, studies on user behavior, public policy, and lifecycle analysis are contributing to the development of holistic strategies for enhancing EV adoption. By delving into these challenges and the ongoing research endeavors, this paper sheds light on the evolving pathway towards a future where EVs can thrive as a mainstream mode of transportation. Also, an analysis is conducted to evaluate the economic viability of EVs based on daily range considerations, with the objective of determining which category of users would benefit most from adopting EVs. Furthermore, policies are proposed that are aimed at establishing a harmonious and balanced EV ecosystem.

Roadblocks to Hybrid Wheat Seed Production: An Analysis of Constraints

There is great pressure on wheat, a crucial staple crop of global importance due to issues such as climate change, rising population numbers, and both microorganismic (biotic) and mineral (abiotic) stress. Heterosis can be employed in developing superior characters in hybrid wheat resulting from crosses between highly divergent parents. However, hybrid wheat has been beset with problems such as self-pollination, low heterosis, prohibitive production cost, and small scale of consumer acceptance. It explores how hybrid wheats are produced such as chemical hybridising agents, cytoplasmic male sterility and genomic selection. This aspect entails difficulties and complexity associated with hybrid wheat production such as hybrid incompatibility, unstable genetics, diverse heterotic families and requirement for genomic prediction of hybrid vigour. Hybrid wheat’s lag of adoption in India is discussed with a special view put on particular problems associated with that country alone. Nevertheless, there are still some issues associated with heterotic grouping and sterility systems specific for the Indian situation. Nevertheless, significant efforts, including the hybrid network of ICAR or transgenic methods, give hope to future. Finally, it should be noted that although hybrid wheat appears to have a great promise of high yield and good grain quality, bio-genetic limitations must be sorted first. Addressing these hurdles is essential if hybrid wheat is expected to increase food security and improve nutrition amid dwindling water resources due to growing populations worldwide.

Examining the impact of economic cycles on India’s information technology sector

The link between the Indian IT industry and business cycles is examined in this article. The IT-BPO sector has spearheaded India’s transition from an agricultural to a service economy. The industry has dominated this field by producing around 10% of India’s service industry earnings and developing a special “service-directed” export-oriented business model. In India there has been massive growth in the software industry due to its potential of exports and for hardware, a very promising demand at the domestic front has been indicated, starting in 1991. The main factors influencing the rise in technology adoption in India include the country’s economic growth, the quick development of its technological infrastructure, the fierce competition among Indian businesses, the government’s increased attention, and the introduction of new business models that enable the provision of IT to untapped markets. The study investigates the potential relationship and sensitivity of the IT sector to the cyclical patterns of the Indian economy. If so, what is the degree of correlation between IT companies and Indian business cycles? Whether the movements of IT Industry are procyclical and coincident to the movements of GDP. Data analysis was comprised of stationarity tests, detrending, and log transformation. Comparative charts clearly highlighted a positive relationship, but because of IT exports, the relationship is more complex. Also, it has been found the IT is not a lagging indicator.

Educational Technology Adoption in India : Theory of Consumption Values Perspective

Educational Technology Adoption in India : Theory of Consumption Values Perspective

Enabling industry 4.0: Assessing technologies and prioritization framework for agile manufacturing in India

This paper delves into the integration of Industry 4.0 technologies in the manufacturing sector, providing a framework tailored for adoption in India, a rapidly advancing digital economy. The current literature does not go into detail on industry 4.0 technology in the context of agile manufacturing. Addressing this critical gap in the literature, we identify 15 criteria across six categories, leveraging the entropy method to compute their weights. We prioritize Industry 4.0 technologies in the context of agile manufacturing using a comprehensive analysis that employs the TOPSIS and Fuzzy DEMATEL methodologies. Results indicate that cybersecurity, Cloud, and the Internet of Things (IoT) are the most commonly used technologies in agile manufacturing. The fuzzy DEMATEL-based framework identifies cybersecurity, Big data, Cloud, simulation, augmented reality, and IoT as ‘cause’ technologies, while additive manufacturing, robotics, mobile devices, and systems integration are identified as ‘effect’ technologies. The paper proposes practical strategies for managers in India to facilitate the adoption of Industry 4.0 technologies, thereby enhancing firms' agility in the digital age. By highlighting the specific technologies critical to agile manufacturing, our study not only addresses a notable gap in the literature but also provides a roadmap for their practical implementation, empowering businesses to thrive in an increasingly digitalized landscape.

Obstacles to Electric Vehicle Adoption in India and Proposed Remedies

The inductive approach focuses on analyzing the factors influencing Electric Vehicle (EV) adoption in India, while the deductive approach centers on understanding how these factors play out in developed nations and their applicability to developing countries. By iteratively applying the inductive-deductive approach, a taxonomy is developed categorizing these factors into micro-, macro-, and meso-level antecedents. This taxonomy serves as a framework for systematically organizing cohesive initiatives to promote EV adoption in developing nations, stressing the importance of tailoring these factors to the unique infrastructural, economic, and market conditions of such countries. One significant challenge hindering the adoption of EVs is the concern over their limited driving range. Recent proposals suggest the implementation of dynamic wireless charging, enabling power exchange between vehicles and the grid while in motion. This paper highlights the importance of optimizing EV routes requiring charging to maximize the utilization of Mobile Energy Disseminators (MEDs) functioning as mobile charging stations. The growing popularity of EVs has brought about a corresponding increase in challenges. Lengthy waiting times at charging stations present a major hurdle to widespread EV adoption. To address this, battery swapping stations (BSSs) offer an efficient solution, reducing wait times and promoting healthy recharging cycles for batteries. Additionally, these swapping stations create opportunities not only for EVs but also for power systems, providing regulation services to the grid, particularly beneficial for smaller networks like microgrid (MG) systems. This study delves into determining the optimal location and size of swap stations to maximize revenue within an MG system.

The challenges to circular economy in the Indian apparel industry: a qualitative study

Purpose In recent years, researchers and practitioners have paid a great deal of attention to the circular economy (CE) due to its potential social and environmental benefits. However, limited attention has been devoted in the literature to studying the barriers to CE implementation in the apparel retail industry in emerging and developing nations besides China. Consequently, the purpose of this paper is to analyse the barriers to implementing CE in the Indian garment retail market. Design/methodology/approach This exploratory study uses a comprehensive literature analysis to identify the micro-level impediments to CE adoption in India's garment retail industry. The study aims to identify these barriers using a Delphi process, consisting of three stages. The first stage involves literature reviews and expert opinions, while the second and third stages involve survey methods with 14 industry professionals and academics. The use of the two primary data sources allows for triangulation of the data, which improves the validity of the findings and enables broader conclusions to be drawn from the results. Findings This study indicates that the top three challenges to implementing CE principles in the Indian apparel retail industry are “standards and regulation barriers” (84%), “strategic barriers” (82%) and “supply chain management and technology barriers” (79%). Strategies for overcoming these obstacles include gaining top management support, coordinating supply chain components, training and employee motivation. Research limitations/implications This study considers only Indian apparel retail industry, and the practical implications could potentially limit the study to emerging Asian economies. Originality/value To the best of the authors’ knowledge, this is the first research of its type to explore CE obstacles at the organizational level in the Indian garment retail business. Thus, it contributes to a greater understanding of the topic and enables practitioners to develop effective policies and business strategies for CE and sustainability.

Construction management students’ perception of BIM adoption and its implications in a non-mandated country

Building information modeling (BIM) is increasingly being recognized and gradually adopted by the construction industry in India, even though it is still not mandated by the Government. As the demand for trained BIM professionals grows, many educational institutes in India have started including BIM in their respective architecture, engineering, and construction (AEC) related curriculum courses, mostly at a beginner level. This study tries to access the perceptions of these AEC students towards various aspects related to the BIM practice and its adoption in India. It aims to provide a reference point, and help bridge the gap between the industrial BIM proficiency requirements, and the institutional BIM teaching-learning approach. As students are the prospective BIM professionals, this study gives important insights for the BIM practice stakeholders to understand the learners’ individual motivation, bias and experience. The methodology consisted of conducting an online questionnaire survey to collect the students’ demography and background data; as well as their perceptions (on a five-point Likert scale) towards BIM benefits, BIM functionalities, BIM as a career option, and challenges to BIM implementation in India. The 188 responses were divided into subgroups and statistically compared based on two-sample t-test and analysis of variance (ANOVA). Findings are discussed with their possible implications in the academia as well as the industry. The study emphasizes having a better engagement of the academia with the BIM industry and policy makers to develop a synergic BIM learning ecosystem.

Challenges Hindering Electric Vehicle Adoption in India and Proposed Solutions

The inductive approach aims to investigate the factors influencing EV adoption in India, while the deductive approach concentrates on understanding how these factors unfold in developed nations and can be applied in developing countries. The iterative application of the inductive-deductive approach results in the creation of a taxonomy that classifies the factors as micro-, macro-, and meso-level antecedents. This taxonomy can serve as a framework for organizing systematic and cohesive initiatives to encourage EV adoption in developing countries. The article also underscores the importance of tailoring these factors to the distinctive infrastructural, economic, and market requirements of developing nations. A hurdle in embracing electric vehicles (EVs) lies in concerns about their restricted driving range. Recent suggestions consider the implementation of dynamic wireless charging, allowing power exchange between the vehicle and the grid while in motion. This paper emphasizes optimizing the routes of EVs requiring charging to maximize the use of mobile energy disseminators (MEDs), serving as mobile charging stations. The surge in electric vehicle (EV) popularity has led to a corresponding rise in associated challenges. Extended waiting periods at charging stations pose a significant obstacle to widespread EV adoption. Consequently, battery swapping stations (BSSs) present an efficient solution, addressing short waiting times and promoting healthy recharging cycles for battery systems. Furthermore, these swapping stations offer opportunities not only for EVs but also for power systems, providing regulation services to the grid, particularly for smaller networks like microgrid (MG) systems. This study explores the optimal location and size to maximize the revenue of a swap station within an MG system.

Explicating the factors driving retail central bank digital currency adoption in India: an empirical investigation applying the unified theory of acceptance and use of technology model

Explicating the factors driving retail central bank digital currency adoption in India: an empirical investigation applying the unified theory of acceptance and use of technology model