Careers and motherhood: policies for compatibility

This paper examines the economic issues relevant to policy debatesthat surround the increasing labour force participation of mothers.We review the main changes in women's labour market participationin Britain. The main source of increase in women's participationrates has come from mothers returning to work after childbirthafter progressively shorter intervals. The major influenceson this behaviour and the length of time spent out of work overthe first childbirth and the associated empirical work are alsoreviewed. These changes have raised issues relevant to maternityand parental leave, childcare provision, employers' family-friendlyworking arrangements and children's welfare. The paper makessome recommendations about how to further gender equity in aform compatible with family life.     

Putting one-to-one marketing to work: Personalization, customization, and choice

The tailoring of a firm’s marketing mix to the individual customer is the essence of one-to-one marketing. In this paper, we distinguish between two forms of one-to-one marketing: personalization and customization. Personalization occurs when the firm decides what marketing mix is suitable for the individual. It is usually based on previously collected customer data. Customization occurs when the customer proactively specifies one or more elements of his or her marketing mix. We summarize key challenges and knowledge gaps in understanding both firm and customer choices in one-to-one markets. We conclude with a summary of research opportunities.     

Imputation of Missing Values in the Fundamental Data: Using MICE Framework

Revolutionary developments in the field of big data analytics and machine learning algorithms have transformed the business strategies of industries such as banking, financial services, asset management, and e-commerce. The most common problems these firms face while utilizing data is the presence of missing values in the dataset. The objective of this study is to impute fundamental data that is missing in financial statements. The study uses ‘Multiple Imputation by Chained Equations’ (MICE) framework by utilizing the interdependency among the variables that wholly comply with accounting rules. The proposed framework has two stages. The initial imputation is based on predictive mean matching in the first stage and resolving financial constraints in the second stage. The MICE framework allows us to incorporate accounting constraints in the imputation process. The performance tests conducted on the imputed dataset indicate that the imputed values for the 177 line items are good and in line with the expectations of subject matter experts.

     

Determinants of corporate social responsibility disclosures: Evidence from India

Over the last few decades, a number of studies, mostly in the western countries, have investigated the nature and frequency of corporate social responsibility disclosures, their patterns and trends, and their general relationships with corporate size and profitability. This study seeks to extend the knowledge regarding the relationship between a number of financial and non-financial corporate characteristics and the level of social responsibility disclosures based on an extensive sample of top Indian companies. Corporate size and industry category are found to correlate with the corporate social disclosures of the companies and the corporate reputation as recognised through awards and social ratings has also been observed to be a significant factor that influences the social disclosures made by the Indian companies.     

Impact of contract farming on yield,costs and profitability in low‐value crop: evidence from a low‐income country

Lentils, a low‐value and highly nutritious crop, are Nepal's largest pulse cash crop. However, the majority of the nation's smallholders produce lentils on very small plots of land. The large gap in lentil yields between Nepal and other lentil‐producing countries underscores the importance of improving yields and income of smallholders. When it comes to the financial viability of small farms, particularly in developing countries, and globalisation, contract farming (CF) may prove useful in achieving efficiency and profitability in smallholder lentil farms in Nepal. This study employs the propensity score matching approach to examine the effects of the adoption of CF on yields, profitability and costs of smallholder lentil farms in Nepal. Findings from this study reveal that contrary to popular belief, CF adoption by lentil producers in Nepal has a positive and significant effect on per‐hectare revenues, profits and yield and a negative impact on variable and transportation costs. The study finds that only very smallholder lentil farms (0.01‐0.05 ha) benefit from CF.     

A mathematical model for projecting the demand for scientists and technologists in national R & D institutes

This paper presents an analytical framework for man-power planning which is being developed as an aid to projecting the demand for scientists and technologists in India. It is presented in the hope that it might be of interest to people concerned with this issue In other developing countries. In using the model the main problem is that of measuring the output in the R & D institutes. In attempting this it is inevitable that some degree of subjective judgment is involved. The method adopted is described in the paper, and using a very simple input—output type of matrix and data taken from five-year plans, some preliminary results have been obtained which enable an assessment to be made of the demand for various kinds of scientists and technologists in the national R & D institutes in India.     

Influence of demographics,psychographics, shopping orientation,mall shopping attitude and purchase patterns on mall patronage in India

Retail boom in India is generating considerable interest from within the country as well as abroad. This growth in retail has been fueled by the mushrooming of shopping malls across the country. Despite this very little is known about the characteristics of the Indian mall shoppers. Also of special interest is the behavior of heavy shoppers because regardless of the footfalls at the mall, if the money spent is low, the mall does not benefit. The purpose of this study, therefore, was to profile Indian mall consumers, identify characteristics differentiating the high rupee volume purchasers at the mall and to evolve a model that can help predict heavy rupee volume purchasers in a catchment.The results of this study, spanning eight cities of India and 3026 mall consumers, indicate that the heavy shoppers are significantly different from the other groups along multiple demographic and socio-economic variables, behavioral variables, attitude and shopping orientation. Additionally, the study contributes to literature by evolving a typology of shoppers. The model evolved using Discriminant Analysis was used to predict potential heavy and low rupee volume purchasers for a city of interest, where currently there are no malls.