Tanu Jain, Kiran Grover and Navjot Kaur Gill
This paper aims to evaluate the impact of garden cress supplemented biscuits on the nutritional status of malnourished children.
Abstract
Purpose
This paper aims to evaluate the impact of garden cress supplemented biscuits on the nutritional status of malnourished children.
Design/methodology/approach
For the present study, 60 underweight and anemic seven-nine-year-old school children were selected according to the World Health Organization (WHO) classification and divided into two groups, i.e. experimental (30) and control (30). Biscuits (60 g) developed using roasted garden cress seeds were supplemented to the experimental group, while biscuits without garden cress seeds were provided to control group for a period of three months and impact was observed in terms of improvement in nutritional status of subjects before and after the supplementation.
Findings
The food and nutrient intake increased with increased percent nutrient adequacy and sharp increase (p ≤ 0.05) was noticed in cereal, fat and sugar after supplementation. Average height, weight, body mass index and mid-upper arm circumference increased, with 3.56 and 0.87 per cent gain in weight and height (p ≤ 0.05) respectively. Hemoglobin levels increased from 10.6 to 11g/dl with little improvement (p ≤ 0.05) in proteins, albumin and other indices of blood profile and nine subjects fell in non-anemic category.
Research limitations/implications
The diets of both groups were not controlled, which might have varied the results.
Practical implications
Garden cress-seed-enriched biscuits were able to have a positive impact on the nutritional profile of malnourished and anemic school children.
Social/implications
The duration of supplementation was short, which may have affected these results. Therefore, researchers are encouraged to perform long-duration supplementation study for more accurate results.
Originality/value
This paper identifies the need for promoting garden cress seeds in supplementary foods to reduce malnutrition.
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Shivani Rustagi, Sheeba Khan, Tanu Jain, Ranjana Singh and Vinod Kumar Modi
Gluten is a triggering factor for gluten-related disorders. However, the present market provides expensive, less varied and poor nutritional products. Therefore, this study aims…
Abstract
Purpose
Gluten is a triggering factor for gluten-related disorders. However, the present market provides expensive, less varied and poor nutritional products. Therefore, this study aims to develop gluten-free muffins and improve their nutritional profile, as well as evaluate the physical, chemical and sensorial aspects of them.
Design/methodology/approach
A combination of pearl millet, buckwheat and amaranth was used to formulate gluten-free muffin using central composite rotatable design of response surface methodology for optimization of selected parameters (hydroxypropyl methyl cellulose [HPMC], baking temperature and baking time). The optimized muffins were incorporated with Moringa leaves powder. Finally, the final products were compared with the wheat muffins.
Findings
The optimization range of selected variables was 1% HPMC, 170°C baking temperature and 30.33 min baking time with a desirability function of 0.75. The incorporation of 5% Moringa leaves powder enhanced the nutritional profile of gluten-free muffins – increased protein (38%), fiber (208%), iron (224%) and calcium (25%) values. However, the overall acceptability reduced due to decrease in flavor and odor.
Originality/value
Nonetheless, the ease of accessibility of these convenience gluten-free muffins as well as the nutritional density can help the food research and nutritionists to bridge the gap in current gluten-free market. This puts focus on the use of underutilized crops such as millets and buckwheat which are nutritionally dense.
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Satakshi Aggarwal and Tanu Jain
Modern thermal and non-thermal pretreatment techniques, namely, enzymatic treatment, gas phase plasma treatment and ohmic heating have become more pronounced over conventional…
Abstract
Purpose
Modern thermal and non-thermal pretreatment techniques, namely, enzymatic treatment, gas phase plasma treatment and ohmic heating have become more pronounced over conventional techniques for enhanced coloured phytochemicals (pigments) extraction. Presently, numbers of pretreatment techniques are available with some unique feature. It is difficult to choose best pretreatment method to be employed for phytochemicals extraction from different sources. Therefore, this paper aims to discuss different modern pretreatment techniques for extraction with their potential results over conventional techniques.
Design/methodology/approach
Research and review articles targeting to the thermal and non-thermal pretreatment techniques were collected from Google Scholar. The required information has been tabulated and discussed which included qualities of modern pretreatment techniques over conventional techniques, phytochemical extraction and best pretreatment methods for optimized results.
Findings
Every pre-treatment has its own advantages and disadvantages for a particular phytochemical and its extraction from various sources. Enzymes can be used in combinations to enhance final yield like extraction of carotenoids (pectinase, cellulase and hemicellulase) from chillies and lycopene (pectinase and cellulase) from tomato. Utilization of each method depends upon many factors such as source of pigment, cost and energy consumption. CO2 pretreatment gives good results for carotenoid extraction from algae sources. Ohmic heating can yield high anthocyanin content. Modifications in conventional blanching has reduced final waste and improvised the properties of pigment.
Originality/value
This study comprises collective information regarding modern pre-treatment for extraction over conventional pre-treatments. The study also covers future trends and certain new hybrid approaches which are still less flourished.
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This paper describes how financial professionals' behavioral biases influence their financial forecast and decision-making process. Most of the earlier studies are focused on…
Abstract
Purpose
This paper describes how financial professionals' behavioral biases influence their financial forecast and decision-making process. Most of the earlier studies are focused on well-developed financial markets, and little is researched about financial professionals, such as institutional investors, portfolio managers, investment advisors, financial analysts, etc., in emerging markets.
Design/methodology/approach
An expert-validated questionnaire measure four prominent behavioral biases and Indian financial professionals' rational decision-making process. The final sample consists of 274 valid responses using the purposive sampling technique. IBM SPSS and AMOS structural equation modeling (SEM) software are used to build measurement and structural models, multivariate analysis including regression, factor analysis, etc.
Findings
The results provide empirical insights into the relationship between behavioral biases and the decision-making process. The results suggest that the structural path model closely fits the sample data. The presence of behavioral biases indicates that financial professionals' forecasting and decision-making is not always rational but bounded rational or irrational due to these factors. Furthermore, these biases (except overconfidence bias) have a markedly significant and positive relationship with irrational decision-making.
Research limitations/implications
It is critical to eradicate these psychological errors, but awareness and attentiveness toward behavioral biases may help financial professionals to make informed decisions. Investors can improve their portfolio decisions and investments by recognizing their judgment errors and focusing on specific investment strategies to mitigate the impact of these biases. It is necessary to incorporate behavioral insights while developing training techniques for financial professionals. Rules of thumb, visual tools, financial coaching and implementing social-cultural elements in training programs enable financial professionals to develop simple, engaging, appealing and customized approaches for their clients.
Originality/value
This novel study is the first of this kind of research that examines the relationship between financial professionals' behavioral biases and rational decision-making process. This study significantly and remarkably provides insights into irrationality in financial professionals' decision-making.
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Ruhee Mittal, Tanu Kathuria, Mohit Saini, Barkha Dhingra and Mahender Yadav
Fintech plays a prominent role in augmenting the financial inclusion of the population and increasing the money supply, which calls for the intervention of monetary policy. This…
Abstract
Purpose
Fintech plays a prominent role in augmenting the financial inclusion of the population and increasing the money supply, which calls for the intervention of monetary policy. This article is an attempt to examine the relationship between the financial inclusion, fintech and monetary policy effectiveness of the Indian economy, within the framework of wealth creation and transmission mechanism through the cost of capital.
Design/methodology/approach
On the quarterly data retrieved from multiple sources, autoregressive distributed lagged regression is used to examine the relationship between different variables as explained in four set models; after which the Toda–Yamamoto causality test is employed to capture the direction of the relationship.
Findings
The study finds a positive relationship between financial inclusion, fintech and inflation taken as a proxy for Monetary Policy Effectiveness (MPE) in the short as well as in the long run. However, the relationship between fintech and inflation is negative once the cost of capital is included in the models. The causality test exhibits the uni-directional causality from fintech to MPE and MPE to financial inclusion. Bi-directional causality exists between wealth and MPE. Similarly, bank rate and interbank rate are bound by bi-directional causality.
Research limitations/implications
Being financially included facilitates ease and boosts public access to more financial services and credit, leading to increased demand and hence inflation. Hence government and regulators need to take mindful measures to enhance the fintech development and financial inclusion to make the monetary policy effective.
Originality/value
As per the author's best knowledge, this is the first study to examine the relationship between fintech, financial inclusion and monetary policy effectiveness in the context of the Indian economy.
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Tanu Manocha and Vinita Sharma
For a sustainable and eco-friendly supply chain, the objective is to reduce the harmful effects on the environment caused by a variety of factors, such as supply chain revenue and…
Abstract
For a sustainable and eco-friendly supply chain, the objective is to reduce the harmful effects on the environment caused by a variety of factors, such as supply chain revenue and profit concerns, water and energy use and waste production. The primary barrier to more sustainable supply chains is cost, and smaller enterprises in particular find it difficult to pay for the upfront expenses. The prices are utmost important in freight forwarding services. The chapter aims to identify the different variables that affect the spot freight rate, considering a small number of Indian logistics firms, and to determine the spot freight rate factors that affects freight rates and supply chain management's sustainability. Using a structured questionnaire, the information was gathered from 308 logistics service companies. Descriptive statistics was used and factor analysis using principal component analysis (PCA) are the tools and methodologies employed for the analysis of the data gathered. The software tool utilized for the data analysis is SPSS (Statistical Package for the Social Sciences) 17.0. SPSS helps to obtain clear and precise results. From the analysis, it was deduced that there are five factors of spot freight rate which was done by using factor analysis using PCA, which affects the volatility explaining a total of 67.75% variation in the data set. The study shows that these identified factors impact the freight rate and also the sustainability in management of supply chain practices in India.
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This chapter deals with an important but neglected aspect of female labor force participation (FLFP) in urban India. Contemporary literature typically focuses on the entire urban…
Abstract
This chapter deals with an important but neglected aspect of female labor force participation (FLFP) in urban India. Contemporary literature typically focuses on the entire urban sector and ignores one important aspect of urban living – the slums and its dwellers. This study fills that critical gap by examining two different household surveys side-by-side: a primary survey of households living in slums and slum-rehabilitated colonies, and the nationally representative Indian Human Development survey-II. This study brings outs a comparative picture of nature/type of FLFP and its various correlates from both slum and non-slum areas of three metro cities of India, viz. Delhi, Kolkata and Mumbai. It further explores the similarities and the differences of the correlates for FLFP among the slum clusters of these cities. It is found that despite being poorer and marginalized, the slum dwelling women’s LFP rate is not extra-ordinarily high vis-á-vis their non-slum urban counterparts. In slums, a higher proportion of women are engaged in self-employment (including family business) and casual employments (includes domestic helps), whereas in non-slum areas relatively more women are engaged in regular salaried jobs. Regression analysis identifies correlates that have similar effects, but with different intensity, across-the-board – relationship between education and FLFP reflects a flat-bottom J-shaped pattern; being married, higher child dependency ratio and household heads with higher education significantly constrain women’s work choice; strong income effect of other household members earning on FLFP, but asset holding has no bearing. However, there are other factors that affect FLFP differently in slums and non-slum areas. Policy prescriptions are drawn.
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Tanaji Pavani Prabha, Swati Alok, Rishi Kumar and Swati Singh
Economies and societies are not digitally isolated. Digital technologies are widely recognised as key drivers of information dissemination, knowledge sharing, income and…
Abstract
Economies and societies are not digitally isolated. Digital technologies are widely recognised as key drivers of information dissemination, knowledge sharing, income and employment. Digital technologies also influence the interlinkages of digitalisation, gender and labour market outcomes. Digital technologies impact every sphere of day-to-day life. It impacts ways of communication, trade and business; influences networking abilities; shapes societal norms, attitudes and behaviours. It is hence argued that digital technologies may have crucial implications for women's participation in the workforce.
Gender equality and increasing women's workforce participation is an important goal under the United Nations Sustainable Development Goals (SDGs). Research indicates that women are mainly involved in agricultural work, blue-collar formal work, while collar formal work, and entrepreneurship. Digital technologies significantly impact the ways of working in all these sectors. Consequently, it is argued that digital technologies influence women's participation across all such types of work.
This chapter aims at unravelling the linkages between digital technologies and women's workforce participation. To this end, the influences of digital technologies on women's participation in agricultural work, blue-collar formal work, white-collar formal work and entrepreneurship are discussed. The implications and impacts of the use of broadband, internet and mobile technologies are also discussed. This chapter also includes important theories of women's workforce participation and discusses them in light of digitalisation.
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Chen Wai Ling, Manjit S. Sandhu and Kamal Kishore Jain
This paper seeks to examine the views of executives working in an American based multinational company (MNC) about knowledge sharing, barriers to knowledge sharing, and strategies…
Abstract
Purpose
This paper seeks to examine the views of executives working in an American based multinational company (MNC) about knowledge sharing, barriers to knowledge sharing, and strategies to promote knowledge sharing
Design/methodology/approach
This study was carried out in phases. In the first phase, a topology of organizational mechanisms for knowledge sharing was developed. A review of academic and practitioner literature provided the basis for this topology. In the next phase, a detailed field‐base case study of the knowledge sharing conceptualization in a large MNC was performed based on a sample of 81 employees.
Findings
The results show that most of the respondents agreed that there is a knowledge sharing strategy and there is a growing awareness of the benefit of knowledge sharing in the organization. However, it was worrying to know that 22 percent responded negatively to the statement “KS is important to the organization”. Also, 27 percent of the respondents were also not willing to share knowledge. The most effective method to promote knowledge sharing was to link it with rewards and performance appraisal. Top management support was also vital to ensure the success of knowledge sharing in the organization.
Research limitations/implications
The survey did not cover the non‐executive level employees such as operators, technicians, facilitators and shift leaders due to difficulties in gaining access to these groups of people as they work in shifts. In addition, most of the operators would have difficulty in understanding the survey objective and content.
Originality/value
While existing studies on knowledge sharing are more of a generalized nature, this study examines the perceptions about various aspects of knowledge sharing more in a country and company specific setting.
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Shalini Talwar, Puneet Kaur, Sushant Kumar, Michel Laroche and Amandeep Dhir
The use of over-the-top (OTT) platforms grew substantially after the declaration of the COVID-19 pandemic in 2020. With the pandemic receding, there is a concern that users may…
Abstract
Purpose
The use of over-the-top (OTT) platforms grew substantially after the declaration of the COVID-19 pandemic in 2020. With the pandemic receding, there is a concern that users may not continue with their subscriptions. To counter this, OTT service providers must strategize proactively to retain and acquire new users once the pandemic abates. Positing that understanding the consumption values that users ascribe to OTT platform usage can provide useful customer retention insights, the purpose of this paper is to use the theory of consumption value (TCV) to study the values that users derived from their use of OTT following the onset of the pandemic.
Design/methodology/approach
The mixed-method approach is used to collect qualitative and quantitative data. Analysis of qualitative responses collected through interviews of 12 current OTT platform users helped identify two categories of OTT platform-specific values: attribute-level and benefit-based. Next, the study examined the association of values thus identified with one another, as well as with continued intentions to use OTT platforms, by analyzing data collected from 371 existing users.
Findings
The findings indicated that functional value quality and social value, representing the attribute-level values, were positively associated with two benefit-based values – functional value price and emotional value (EMV). Next, EMV was not only associated with intentions but also partially mediated the association of attribute-level values with intentions. Premium subscription purchased and increased viewing time were confirmed to have moderating effects on the association between attribute-level and benefit-based values.
Originality/value
The study is amongst the foremost research initiatives to examine consumption values derived from OTT platform usage after the onset of the pandemic. Its novelty also comes from its identifying OTT platform-specific consumption values for the first time and adding a new dimension to the TCV by examining the interplay of these values in the OTT platform context.