Jitendra Pratap Singh and Sanjeev Kumar Ram
The purpose of this paper is to investigate the effect of pick density, pile height and pile yarn count (both single- and double-ply yarn) on the colour fastness to crocking…
Abstract
Purpose
The purpose of this paper is to investigate the effect of pick density, pile height and pile yarn count (both single- and double-ply yarn) on the colour fastness to crocking, colour fastness to washing, colour fastness to water of woven velour printed terry fabrics. These variables have also been optimized for developing high-quality fabrics.
Design/methodology/approach
Variables were selected on the basis of past research experience and samples were prepared according to the Box–Behnken design of experiments. The samples were tested for colour fastness to crocking, colour fastness to washing and colour fastness to water by following AATCC 8, AATCC 61, 2A and AATCC 107, respectively.
Findings
The colour fastness to crocking, washing and water of woven velour printed terry fabrics increases with the decrease in pile height and pick density. The colour fastness properties of the fabric increase with increase in fineness of the pile yarn count. Woven velour printed terry fabric with 16.25 picks per cm, 3.5 mm pile height and 16 Ne pile yarn will show best colour fastness. Woven velour printed terry fabric (plied pile yarn) with 16.25 picks per cm, 3.5 mm pile height and 2/24 Ne pile yarn will show best colour fastness
Practical implications
Proved a practical approach to control fastness properties of the fabric by changing fabric variables.
Originality/value
Colour fastness properties of woven velour printed terry fabrics have never been reported. The research work gives the better understanding to develop high quality of fabrics by reducing pile height and pick density. This will also reduce the cost of the fabric.
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Prateek Gupta, Shivansh Singh, Renu Ghosh, Sanjeev Kumar and Chirag Jain
The purpose of this study is to comprehensively analyse and compare equity crowdfunding (ECF) regulations across 26 countries, shedding light on the diverse regulatory frameworks…
Abstract
Purpose
The purpose of this study is to comprehensively analyse and compare equity crowdfunding (ECF) regulations across 26 countries, shedding light on the diverse regulatory frameworks, investor and issuer limits and the evolution of ECF globally. By addressing this research gap and providing consolidated insights, the study aims to inform policymakers, researchers and entrepreneurs about the regulatory landscape of ECF, fostering a deeper understanding of its potential and challenges in various economies. Ultimately, the study contributes to the advancement of ECF as an alternative financing method for small and medium enterprises (SMEs) and startups, empowering them to access much-needed capital for growth.
Design/methodology/approach
The study used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) model for a systematic literature review on global ECF regulations. Starting with 74 initial articles from Web of Sciences and Scopus databases, duplicates were removed and language criteria applied, leaving 42 articles. After a thorough full-text screening, 20 articles were excluded, resulting in the review of 22 papers from 2016 to 2022. PRISMA’s structured framework enhances the quality of systematic reviews, ensuring transparency and accessibility of findings for various stakeholders, including researchers, practitioners and policymakers, in the field of ECF regulations.
Findings
This study examines ECF regulations across various countries. Notably, the UK has advanced regulations, while the USA adopted them later through the Jumpstart Our Business Startups Act. Canada regulates at the provincial level. Malaysia and China were early adopters in Asia, but Hong Kong, Japan, Israel and India have bans. Turkey introduced regulations in 2019. New Zealand and Australia enacted laws, with Australia referring to it as “crowd-sourced equity funding”. Italy, Austria, France, Germany and Belgium have established regulations in Europe. These regulations vary in investor and issuer limits, disclosure requirements and anti-corruption measures, impacting the growth of ECF markets.
Research limitations/implications
This study’s findings underscore the diverse regulatory landscape governing ECF worldwide. It reveals that regulatory approaches vary from liberal to protectionist, reflecting each country’s unique economic and political context. The implications of this research highlight the need for cross-country analysis to inform practical implementation and the effectiveness of emerging ECF ecosystems. This knowledge can inspire regulatory adjustments, support startups and foster entrepreneurial growth in emerging economies, ultimately reshaping early-stage funding for new-age startups and SMEs on a global scale.
Originality/value
This study’s originality lies in its comprehensive analysis of ECF regulations across 26 diverse countries, shedding light on the intricate interplay between regulatory frameworks and a nation’s political-economic landscape. By delving into the nuanced variations in investor limits, investment types and regulatory strategies, it unveils the multifaceted nature of ECF regulation globally. Furthermore, this research adds value by comparing divergent perspectives on investment constraints and offering an understanding of their impact on ECF efficacy. Ultimately, the study’s unique contribution lies in its potential to inform practical implementation, shape legislative frameworks and catalyse entrepreneurial ecosystems in emerging economies, propelling the evolution of early-stage funding practices.
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Suneel Kumar, Varinder Kumar, Isha Kumari Bhatt, Sanjeev Kumar and Kamlesh Attri
This article analyzes research on digital transformation in the tourism sector, providing insights into leading work, authors, journals, trends and future research opportunities…
Abstract
Purpose
This article analyzes research on digital transformation in the tourism sector, providing insights into leading work, authors, journals, trends and future research opportunities. However, limited in-depth research exists on this topic, and the existing studies lack an understanding of its development, scope and relevant areas.
Design/methodology/approach
The study utilized the Scopus database to identify 61 articles on digital transformation in the tourism sector. The research employed VOSviewer software to analyze publication and citation structure, incorporating bibliometric variables like co-authorship, co-citation network, keywords co-occurrence network and bibliographic coupling.
Findings
The study yielded valuable insights from top-cited articles, revealing their contributions to digital transformation in tourism research. It also highlighted publication trends and the impact of authors, journals and studies and conducted co-occurrence, co-authorship and bibliographic analyses to identify key trends and issues in the tourism sector. The study calls for further examination of the digital revolution in tourism research and outlines future opportunities for researchers in this area.
Research limitations/implications
To enhance the comprehensiveness of data collection, it is recommended that researchers consider including publications from databases such as WOS (Web of Science), Dimensions and PubMed in addition to the Scopus database. This broader inclusion of sources can provide different network structures and valuable insights from the field of digital transformation in the tourism sector.
Originality/value
The research provides substantial value to the study of digital transformation in tourism by focusing on bibliometric data from the Scopus database for the period from 2017 to 2022. By analyzing this data, it identifies significant trends in digital transformation within tourism research. Additionally, the study uncovers new areas of digitization in the tourism sector, further enhancing its value and relevance.
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Vishal Shukla, Jitender Kumar, Sudhir Rana and Sanjeev Prashar
This study explores the factors impacting user adoption and trust in blockchain-based food delivery systems, with a spotlight on the Open Network for Digital Commerce (ONDC). In…
Abstract
Purpose
This study explores the factors impacting user adoption and trust in blockchain-based food delivery systems, with a spotlight on the Open Network for Digital Commerce (ONDC). In the evolving food delivery sector, blockchain offers transparency and efficiency. Through the Unified Theory of Acceptance and Use of Technology (UTAUT) lens, this research provides insights for businesses and policymakers, highlighting the importance of blockchain’s integration into food delivery.
Design/methodology/approach
The research employed the UTAUT and its extensions as the theoretical framework. A structured questionnaire was developed and disseminated to users of the ONDC platform, and responses were collected on a seven-point extended Likert scale. The analyses were undertaken employing the partial least squares (PLS) methodology and structural equation modelling (SEM).
Findings
Key factors like performance expectancy, effort expectancy and social influence were found influential for adoption. Trust played a central role, while perceived risk didn’t significantly mediate the adoption process. Digital culture didn’t significantly moderate the adoption intention.
Originality/value
This research adds to the existing body of knowledge by providing empirical insights into user adoption and trust in blockchain-based food delivery platforms. It is among the pioneer studies to apply the UTAUT model in the realm of blockchain-based food delivery platforms, thereby offering a unique perspective on the dynamics of user behaviour in this emerging field.
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Manpreet Kaur, Sanjeev Kumar and Munish Kansal
The purpose of the article is to construct a new class of higher-order iterative techniques for solving scalar nonlinear problems.
Abstract
Purpose
The purpose of the article is to construct a new class of higher-order iterative techniques for solving scalar nonlinear problems.
Design/methodology/approach
The scheme is generalized by using the power-mean notion. By applying Neville's interpolating technique, the methods are formulated into the derivative-free approaches. Further, to enhance the computational efficiency, the developed iterative methods have been extended to the methods with memory, with the aid of the self-accelerating parameter.
Findings
It is found that the presented family is optimal in terms of Kung and Traub conjecture as it evaluates only five functions in each iteration and attains convergence order sixteen. The proposed family is examined on some practical problems by modeling into nonlinear equations, such as chemical equilibrium problems, beam positioning problems, eigenvalue problems and fractional conversion in a chemical reactor. The obtained results confirm that the developed scheme works more adequately as compared to the existing methods from the literature. Furthermore, the basins of attraction of the different methods have been included to check the convergence in the complex plane.
Originality/value
The presented experiments show that the developed schemes are of great benefit to implement on real-life problems.
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Rajneesh Kumar, Sanjeev Ahuja and S.K. Garg
The purpose of this paper is to study of propagation of plane wave and the fundamental solution of the system of differential equations in the theory of a microstretch…
Abstract
Purpose
The purpose of this paper is to study of propagation of plane wave and the fundamental solution of the system of differential equations in the theory of a microstretch thermoelastic diffusion medium in phase-lag models for the case of steady oscillations in terms of elementary functions.
Design/methodology/approach
Wave propagation technique along with the numerical methods for computation using MATLAB software has been applied to investigate the problem.
Findings
Characteristics of waves like phase velocity and attenuation coefficient are computed numerically and depicted graphically. It is found that due to the presence of diffusion effect, these characteristics get influenced significantly. However, due to decoupling of CD-I and CD-II waves from rest of other, no effect on these characteristics can be perceived.
Originality/value
Basic properties of the fundamental solution are established by introducing the dual-phase-lag diffusion (DPLD) and dual-phase-lag heat transfer (DPLT) models.
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Mohit Goswami, Akhilesh Kumar and Sanjeev Prashar
Smartphone demand has been driving people towards refurbished electronic products. However, a lack of transparency in refurbished product pricing makes purchases time-consuming…
Abstract
Purpose
Smartphone demand has been driving people towards refurbished electronic products. However, a lack of transparency in refurbished product pricing makes purchases time-consuming and reduces customer trust. Thus, our research aims to help practitioners and researchers understand how product life and usage characteristics, technical attributes and crowdsourced product reviews and sentiments affect exchange prices for refurbished/remanufactured smartphones.
Design/methodology/approach
Our five-stage exchange price predictive framework begins with data gathering and predictor variable identification. Thereafter, customer review data were scraped to populate both customer ratings and textual content, enabling sentiment analysis for the various smartphone configurations. Stepwise regression was used to find statistically significant factors and validate the predictive model. Testing for nonlinear effects, normality, outliers and homoskedasticity warrants power transformation of the target variable. The analysis used data from GSMArena.com and Amazon.com.
Findings
Our study validates extant findings and provides several novel insights for functional yet hedonistic products like smartphones. Unlike other pure hedonistic products, refurbished phone buyers care more about usage duration than life. Besides having a strong affinity for the sleekness of the phone, such customers are strongly dissuaded by the presence of negative textual content in the customer reviews.
Originality/value
Our study augments the current understanding of exchange price modelling by bringing in perspectives from life cycle characteristics, technical attributes and product reviews.
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Anil Aggarwal, Sanjeev Kumar and Vikram Singh
The purpose of this paper is to propose a method to compute RAMD indices to measure and improve the performance of skim milk powder production system of a dairy plant under real…
Abstract
Purpose
The purpose of this paper is to propose a method to compute RAMD indices to measure and improve the performance of skim milk powder production system of a dairy plant under real working conditions.
Design/methodology/approach
The present work is carried out by developing performance model based on Markov birth-death process. The skim milk powder production system consists of six units. The first order governing differential equations are derived using the mnemonic rule and further solved to calculate RAMD indices i.e. reliability, availability, maintainability, dependability, MTBF, MTTR and dependability ratio for each subsystem of the system.
Findings
The subsystem SS1 comprising of chiller and cream separator is the most critical from maintenance point of view, as the reliability, availability, maintainability, dependability, MTBF and dependability ratio indices are low as compared to those of other subsystems of skim milk powder production system of the dairy plant.
Originality/value
The RAMD indices of the present work is very useful for finding the critical subsystem and its effect on the performance of the system working under real working conditions. Further, based on findings the maintenance priorities for various subsystems can be decided.
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Sanjeev Kumar Aggarwal, L.M. Saini and Ashwani Kumar
Several research papers related to electricity price forecasting have been reported in the leading journals in last 20 years. The purpose of this paper is to present a…
Abstract
Purpose
Several research papers related to electricity price forecasting have been reported in the leading journals in last 20 years. The purpose of this paper is to present a comprehensive survey and comparison of these techniques.
Design/methodology/approach
The present article provides an overview of the statistical short‐term price forecasting (STPF) models. The basic theory of these models, their further classification and their suitability to STPF has been discussed. Quantitative evaluation of the performance of these models in the framework of accuracy achieved and computation time taken has been performed. Some important observations of the literature survey and key issues regarding STPF methodologies are analyzed.
Findings
It has been observed that price forecasting accuracy of the reported models in day‐ahead markets is better as compared to that in real time markets. From a comparative analysis perspective, there is no hard evidence of out‐performance of one model over all other models on a consistent basis for a very long period. In some of the studies, linear models like dynamic regression and transfer function have shown superior performance as compared to non‐linear models like artificial neural networks (ANNs). On the other hand, recent variations in ANNs by employing wavelet transformation, fuzzy logic and genetic algorithm have shown considerable improvement in forecasting accuracy. However more complex models need further comparative analysis.
Originality/value
This paper is intended to supplement the recent survey papers, in which the researchers have restricted the scope to a bibliographical survey. Whereas, in this work, after providing detailed classification and chronological evolution of the STPF techniques, a comparative summary of various price‐forecasting techniques, across different electricity markets, is presented.