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Article
Publication date: 17 July 2009

Darshan Punia, Manju Gupta, Shashi Kala Yadav and Neelam Khetarpaul

This study aims to analyze iodine content in various foods and water.

212

Abstract

Purpose

This study aims to analyze iodine content in various foods and water.

Design/methodology/approach

Food and water samples were collected from rural and urban areas of different agroclimatic zones of Haryana State, India, and analyzed for iodine content by a standard method.

Findings

A wide variation was observed in the iodine content of cereals, pulses, vegetables, fruits and milk. The iodine content in water samples varied from source to source and from zone to zone.

Research limitations/implications

The investigators could not obtain sufficient samples of pulses and fruits for analysis from rural areas as they are not grown by farmers in their fields.

Originality/value

The study is original and innovative. The values of iodine for various foods are not available in the literature, and thus data of the present study will be useful to researchers, nutritionists, food scientists and dieticians.

Details

Nutrition & Food Science, vol. 39 no. 4
Type: Research Article
ISSN: 0034-6659

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Article
Publication date: 11 September 2009

Darshan Punia and Manju Gupta

The purpose of this paper is to develop nutrient rich value‐added products for children to meet the extra requirements during this growing phase of life.

351

Abstract

Purpose

The purpose of this paper is to develop nutrient rich value‐added products for children to meet the extra requirements during this growing phase of life.

Design/methodology/approach

In total, four value added products namely soya ladoo, paushtik ladoo, sev and mathi are prepared from locally available food ingredients. They are analysed for nutrient composition, sensory characteristics and shelf life studies.

Findings

Results reveal that all the developed value‐added products are highly acceptable having an average score of more than 4. The protein content of the products is in between 9.19 and 15.75 per cent, being highest in sev. The fat content is maximum (33.42 per cent) in mathi (a deep fried product) and fibre content in paushtik ladoo (4.0 per cent). The iron content of developed products ranges from 5.28 (mathi) to 8.73 (soya ladoo) and calcium content from 13.5 to 227.28 mg/100 g. Out of the developed products, sev and paushtik ladoo can meet up to one‐third requirement of protein and intake of 100 g of either of the ladoo or sev can fulfill about one‐third RDA of iron. The sensory scores of the products slightly decrease and free fatty acids, peroxide value and total sugars increase with the increase in storage duration.

Research limitations/implications

The developed value‐added products can be a good supplement to meet the nutritional requirements of growing Indian children.

Originality/value

Incorporation of soybean, green leafy vegetables, peanuts, and sesame seeds in various food products can improve the protein and mineral content.

Details

Nutrition & Food Science, vol. 39 no. 5
Type: Research Article
ISSN: 0034-6659

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Article
Publication date: 5 September 2024

Jitender Kumar, Manju Rani, Garima Rani and Vinki Rani

This paper aims to examine how fear of missing out (FOMO) and investment intention mediate the relationship between behavioral biases and investment decisions of retail investors…

287

Abstract

Purpose

This paper aims to examine how fear of missing out (FOMO) and investment intention mediate the relationship between behavioral biases and investment decisions of retail investors in the Indian stock market.

Design/methodology/approach

The present research comprises two cross-sectional quantitative studies, where Study A involves data from 405 self-employed and Study B involves 393 salaried investors. Data was attained through questionnaires – the partial least squares structural equation modeling was used for data analysis.

Findings

The outcomes show that herding, overconfidence and loss aversion bias significantly impact investment intention and FOMO on both studies. Furthermore, the outcomes also indicate that herding and loss aversion bias significantly influence investment decisions in studies (A and B); however, overconfidence bias insignificantly affects the investment decisions in Study A. Besides, the results also reveal a substantial relationship between FOMO, investment intention and investment decision.

Practical implications

The findings of this paper assist practitioners (financial analysts and retail investors) in considering the various ways of analyzing investment decision outcomes by considering the joint effect of several biases.

Originality/value

This paper is an initial attempt to propose a new theoretical framework and empirically examine the impact of behavioral biases on investment decisions by considering the FOMO and investment intention among self-employed and salaried investors. This study also contributes to the behavioral finance literature; other researchers may find it valuable to attain their goals.

Details

Journal of Financial Regulation and Compliance, vol. 32 no. 5
Type: Research Article
ISSN: 1358-1988

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Article
Publication date: 9 October 2019

Shirish Jeble, Sneha Kumari, V.G. Venkatesh and Manju Singh

The purpose of this paper is threefold: first, to investigate the role of big data and predictive analytics (BDPA) and social capital on the performance of humanitarian supply…

2018

Abstract

Purpose

The purpose of this paper is threefold: first, to investigate the role of big data and predictive analytics (BDPA) and social capital on the performance of humanitarian supply chains (HSCs); second, to explore the different performance measurement frameworks and develop a conceptual model for an HSC context that can be used by humanitarian organizations; and third, to provide insights for future research direction.

Design/methodology/approach

After a detailed review of relevant literature, grounded in resource-based view and social capital theory, the paper proposes a conceptual model that depicts the influence of BDPA and social capital on the performance of an HSC.

Findings

The study deliberates that BDPA as a capability improves the effectiveness of humanitarian missions to achieve its goals. It uncovers the fact that social capital binds people, organization or a country to form a network and has a critical role in the form of monetary or non-monetary support in disaster management. Further, it argues that social capital combined with BDPA capability can result in a better HSC performance.

Research limitations/implications

The proposed model integrating BDPA and social capital for HSC performance is conceptual and it needs to be empirically validated.

Practical implications

Organizations and practitioners may use this framework by mobilizing social capital, BDPA to enhance their abilities to help victims of calamities.

Social implications

Findings from study can help improve coordination among different stakeholders in HSC, effectiveness of humanitarian operations, which means lives saved and faster reconstruction process after disaster. Second, by implementing performance measurements framework recommended by study, donors and other stakeholders will get much desired transparency at each stage of HSCs.

Originality/value

The findings contribute to the missing link of social capital and BDPA to the existing performance of HSC literature, finally leading to a better HSC performance.

Details

Benchmarking: An International Journal, vol. 27 no. 2
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 1 October 2006

Manju Agarwal and Rashika Gupta

Conceiving reliable systems is a strategic issue for any industrial society for its economical and technical development. This paper aims to focus on solving highly constrained…

505

Abstract

Purpose

Conceiving reliable systems is a strategic issue for any industrial society for its economical and technical development. This paper aims to focus on solving highly constrained redundancy optimization problems in complex systems.

Design/methodology/approach

Genetic algorithms (GAs), one of the metaheuristic techniques, have been used and a dynamic adaptive penalty strategy is proposed, which makes use of feedback obtained during the search along with a dynamic distance metric and helps the algorithm to search efficiently for final, optimal or near optimal solution.

Findings

The effectiveness of the adaptive penalty function is studied and shown graphically on the solution quality as well as the speed of evolution convergence for several highly constrained problems. The investigations show that this approach can be powerful and robust for problems with large search space, even of size 1017, and difficult‐to‐satisfy constraints.

Practical implications

The results obtained in this paper would be applicable on designing highly reliable systems meeting the requirement of today's society. Moreover, an important advantage of applying GA is that it generates several good solutions (mostly optimal or near optimal) providing a lot of flexibility to decision makers. As such, the paper would be of interest and importance to the system designers, reliability practitioners, as well as to the researchers in academia, business and industry. The paper would have wide applications in the fields of electronics design, telecommunications, computer systems, power systems etc.

Originality/value

Genetic algorithms have been recently used in combinatorial optimization approaches to reliable design, mainly for series‐parallel systems. This paper presents a GA for parallel redundancy optimization problem in complex systems.

Details

Journal of Quality in Maintenance Engineering, vol. 12 no. 4
Type: Research Article
ISSN: 1355-2511

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Article
Publication date: 16 January 2024

Jitender Kumar, Manju Rani, Garima Rani and Vinki Rani

Crowdfunding has emerged as an alternative financing tool and recently gained attention to foster entrepreneurial dynamism and innovation. The current research has identified the…

505

Abstract

Purpose

Crowdfunding has emerged as an alternative financing tool and recently gained attention to foster entrepreneurial dynamism and innovation. The current research has identified the determinants impacting the behavioral intentions of entrepreneurs to use crowdfunding for financing their small and medium-sized enterprises (SMEs).

Design/methodology/approach

The current article is based on a cross-sectional research design. This research collected the data of 422 owners and managers of SMEs through self-administered questionnaires in the Indian National Capital Region (NCR). The responses were collected from July 17 to October 27, 2022. This article used “partial least squares structural equation modeling” (PLS-SEM) for data analysis.

Findings

This article offered a robust model with a high explanatory value of 66% of behavioral intention and 62.1% variance in crowdfunding use behavior. The finding also highlighted that performance expectancy, social influence, facilitating conditions, trialability and perceived value significantly impact behavioral intention. However, effort expectancy and perceived risk insignificantly influence behavioral intention. Notably, facilitating conditions, trialability and behavioral intention positively impact use behavior.

Practical implications

The results of this study will bridge the gap in empirical research on crowdfunding adoption, shedding light on why entrepreneurs hesitate to adopt crowdfunding for financing. Moreover, these results will offer strategic insights for crowdfunding managers and policymakers, aiding them in making informed decisions.

Originality/value

To the best of the authors' knowledge, this pioneering study built the theoretical framework using three credible technology determinant models. The authors examined crowdfunding-specific contextual factors to improve understanding of the positive effect of technological orientation. This addition assists in strategically arranging entrepreneurs' fundraising conversations more efficiently.

Details

Journal of Small Business and Enterprise Development, vol. 31 no. 1
Type: Research Article
ISSN: 1462-6004

Keywords

Available. Content available
Book part
Publication date: 18 July 2022

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Abstract

Details

Big Data Analytics in the Insurance Market
Type: Book
ISBN: 978-1-80262-638-4

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Article
Publication date: 20 December 2024

Jitender Kumar, Vinki Rani, Garima Rani and Manju Rani

Cloud computing services are game-changing in empowering organizations to drive innovation and unlock new growth opportunities. Accordingly, this study aims to examine the…

46

Abstract

Purpose

Cloud computing services are game-changing in empowering organizations to drive innovation and unlock new growth opportunities. Accordingly, this study aims to examine the determinants of cloud computing adoption in SMEs and assess their impact on firm financial performance, specifically focusing on the mediating role of organizational agility in driving cloud-enabled financial improvements.

Design/methodology/approach

Data were collected from 405 owners and managers of SMEs who used cloud computing. A “variance based-structural equation modelling” (PLS-SEM) was employed to test the hypothesis.

Findings

The PLS-SEM result shows that relative advantage, cost-effectiveness, compatibility and external environment support significantly influence cloud computing adoption in SMEs. However, complexity insignificantly impacts cloud computing adoption. The analysis also revealed that cloud computing adoption substantially influences organizational agility. Similarly, cloud computing adoption and organizational agility significantly influence firms’ financial performance.

Practical implications

The present research provides valuable suggestions to service providers, policymakers and managers on developing and expanding cloud computing in developed and developing nations. Additionally, cloud providers can recognize their role in creating a supportive and adaptable environment that ensures convenient access to cloud computing users.

Originality/value

This research is an initial attempt to blend the strength of diffusion of innovation (DOI) theory with two additional constructs (i.e. cost-effectiveness and external environment support) for making a comprehensive model of cloud computing adoption and its influence on firm financial performance. By doing this, the research adds to the empirical knowledge on cloud computing adoption and provides an institutional framework to interpret the impact of cloud-based information technology.

Details

Business Process Management Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 23 May 2023

Vrinda Khattar and Upasna A. Agarwal

The purpose of this article is to understand how women develop entrepreneurship as a career identity through women's various life stages. Using a life story approach, the authors…

576

Abstract

Purpose

The purpose of this article is to understand how women develop entrepreneurship as a career identity through women's various life stages. Using a life story approach, the authors study the formation of Indian businesswomen's entrepreneurial identity in businesswomen's unique socio-cultural context.

Design/methodology/approach

The study drew upon 15 semi-structured interviews with practicing women entrepreneurs using a qualitative methodology. Gioia methodology was used to systematically analyze the data for theory building.

Findings

The narratives of the Indian women entrepreneurs indicate that Indian women's entrepreneurial identity was a developmental process influenced by various episodes in different life stages-childhood, adolescence, marriage and motherhood. Life episodes influenced the creation and enactment of this entrepreneurial identity, which led to the emergence of entrepreneurship as a career choice.

Research limitations/implications

The study's retrospective design may have raised concerns involving memory recall. The open-ended questions gave the participants the freedom to recount the life episodes that influenced the participants the most and may have partly mitigated this concern.

Originality/value

Prior studies have focused on specific life stages of women entrepreneurs, without taking a holistic life-story view, thereby missing out on how career identity is formed as a result of life episodes. Using the developmental psychology approach, the authors provide a nuanced and holistic lens to understanding women's entrepreneurship.

Details

Career Development International, vol. 28 no. 3
Type: Research Article
ISSN: 1362-0436

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Article
Publication date: 3 July 2023

Sachin Kashyap, Sanjeev Gupta and Tarun Chugh

The present work has proposed and employed an innovative hybrid method based on the combination of factor analysis and an artificial neural network (ANN) model to forecast…

851

Abstract

Purpose

The present work has proposed and employed an innovative hybrid method based on the combination of factor analysis and an artificial neural network (ANN) model to forecast customer satisfaction from the identified dimensions of service quality in India, a developing country.

Design/methodology/approach

The qualitative study is conducted with Internet banking users to understand e-banking clients' perceptions. The data is collected with the help of a questionnaire from randomly selected 208 customers in India. Firstly, factor analysis was performed to determine the influential factors of customer satisfaction, and four factors i.e. efficiency, reliability, security and privacy, and issue and problem handling were extracted accordingly. The neural network model is then applied to the factor scores to validate the key elements. Lastly, the comparative analysis of the actual ANN and the regression predicted result is done.

Findings

The success ability of the linear regression model is challenged when approximated to nonlinear problems such as customer satisfaction. It is concluded that the ANN model is a better fit than the linear regression model, and it can recognise the complex connections between the exogenous and endogenous variables. The results also show that reliability, security and privacy are the most influencing factors; however, problem handling and efficiency have the slightest effect on bank client satisfaction.

Research limitations/implications

This research is conducted in India, and the sample is chosen from the urban area. The limitation of the purposeful sampling technique and the cross-sectional nature of the data may hamper the generalisation of the results.

Originality/value

The conclusions from the study will be helpful for policymakers, bankers and academicians. To our knowledge, few studies used ANN modelling to predict customer satisfaction in the service sector

Details

International Journal of Quality & Reliability Management, vol. 41 no. 1
Type: Research Article
ISSN: 0265-671X

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