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Human resource management.

It is appropriate for graduate students majoring in human resource or business management. Students who are interested in studying Asian economies in the world, as they are the most growing economies in the world and at the same time have a shocking number of people employed in the informal sector.

This case study talks about women workers who face a glass ceiling at the management level and deplorable working conditions at the informal level. This case involves women in the paper bag-making business, a part of the urban informal sector. The paper bag-making business provides employment and income generation for the urban poor. The focus in this study is on women production workers, rather than entrepreneurs or professional managers. Focus of the study will be on the change in the pattern of income distribution within the family-based household, the degree of bargaining power derived from productive work and income and impact of technology on the plight of unskilled women force and how technology and vocational training can lead to utilization of manpower being wasted because of lack of synergy between technology and the informal sector in India. Expected learning outcomes Four key points of selection, training, assessment and leadership all have been addressed in this case study, and the relevance of these points is important from the point of view of management students who have to understand the linkages and the hidden costs these informal sector occupations come with and then to device an appropriate strategy to bring and use these human resources to their full capacity by utilizing the existing resources instead of adding new ones, which in development economics is known as Solow residual.

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This paper aims to illustrate the usefulness of the proposed procedure to evaluate the Goods and Services Tax (GST) in India by applying it to provide evidence on optimal commodity tax rates.

In the optimal commodity tax literature, the commonly used Ramsey–Samuelson–Diamond–Mirrlees framework assumes invariance of budget allocation between pre- and posttax regimes and uses only the first-order conditions in the two-stage optimization procedure. This paper proposes an iterative method that overcomes the above limitations in obtaining the optimal tax rates.

It is found that the optimal commodity taxes are highly sensitive to the procedure used to estimate them. The resulting tax rates turn out to be close to the GST tax slabs. The results also show that on both absolute and relative measures, for all the selected states considered here and for All-India, the optimal tax systems are progressive for two chosen values of the inequality aversion parameter.

There is a very limited literature on the computational methodology to calculate optimal commodity taxes, and consequently, the evidence is quite scarce as well. In combining contributions to the computation of optimal taxes with empirical evidence, this paper fills a significant gap in the literature. The context of India gives it added value since the GST has recently been introduced in India, and to the best of the authors’ knowledge, this is one of the first attempts at evaluating the Indian GST through the spectacles of optimal taxes.

This paper aims to detect gender bias in education expenditure on “students”, who are children and young adults, in a household in the rural and the urban sectors of West Bengal. Outlay equivalent ratios have been calculated using the Engel curve approach, where the budget share function is log quadratic in income, to identify items relating exclusively to education of school/college going students. Heckman’s (1979) two-step procedure is used for estimation to address selection bias The 68th round (July 2011 to June 2012) household level consumption expenditure survey data of the National Sample Survey Organisation have been used for the analysis.

Engel curve approach is used to capture parental preference for student’s welfare and to find the existence of male student favouritism in the field of education. In case of exclusive adult goods, the addition of a student will reduce the resource allocated for adult goods leading to negative income effect. If a household favours males over females, then that household is likely to sacrifice more for a male student’s education than that for a female student. To address selection bias, Heckman’s two-step procedure has been used.

The authors find that not all education items relate exclusively to students of a household. Expenditure on books is not exclusively for students, whereas other educational items, such as stationary and photocopy charges, tuition fees and private coaching fees, are found to be students’ items only. Transport cost is found to be an adult good. Further, we find evidence of pro male bias in expenditure on educational items, and the extent of gender bias is more in the urban sectors compared to the rural sectors in West Bengal.

The objective of this paper is to identify the educational items exclusively for “students” and to test the difference in the allocation of resources in education, with respect to these items, between a male student and a female student for both sectors in West Bengal, using the outlay equivalent ratios.

This paper aims to explore the trends, distribution and pattern of Indian bilateral cross-border joint venture (CBJV) activity with advanced developed nations (G7 nations) which include the USA, the UK, Japan, France, Germany, Italy and Canada over the 2001-2010 period.

Longitudinal data on the population of 201 CBJVs are analyzed using Securities Data Company (SDC) platinum database. Chi-square test of independence is conducted on the parameters for CBJVs collected over a span of 10 years to test interrelations between them.

The results of explorative trend analysis and test of interdependence are significantly different from developed countries in terms of interrelation between parent’s nationality, industry classification, broad purpose, period of formation and the equity owned.

Future work may explore the strategic motivation of both developed and developing nation firms, given the dynamics of CBJVs explored in this paper. The study could also be extended to other developed and developing nation firms CBJVs with Indian firms.

This study provides a broad-based objective exploratory study of trends and distribution of CBJVs from the standpoint of the developing nations. This helps managers to identify the dynamic industries of CBJVs in India as far as G7 nations are concerned.

The possibility of asymmetric motives of partners in CBJV could not be negated. The role of Indian policymakers also becomes much larger to regulate the monopolistic and anti-competitive practices.

The longitudinal study serves to present first of its kind systematic analysis of detailed activity of Indian firms in bilateral CBJV formation.

Discussion of the case will enable students to identify the cornerstones of industry development using simple frameworks like PESTLE and five forces that shape strategy. They will be able to identify critical success factors and evaluate how a firm gets competitive advantage. They will also be able to assess whether the advantage is sustainable for the firms and along which dimensions they have only competitive parity. The issues of contemporary firms growing through the use of network strategies is also highlighted and students will learn to appreciate the role of platforms and connectivity for gaining sustainable advantage.

This case describes the growth strategy of NoPaperForms, a start-up in the domain of enrolment automation for higher education in India. Naveen Goyal, the founder CEO sensed an opportunity in this growing industry segment and acquired it from the founder, Vishal Shah in 2017. The ultimate objective of an educational institute was to attract talent, Goyal evolved a comprehensive enrolment solution starting with the time a prospective student made an inquiry for enrolment till the time he/she paid for enrolment. It was a complete panel, bundled and packaged in a single system taking care of lead management, lead nurturing, application management, fee payment, post-application management and enrolment. He developed it into a unique blend of a customer relationship management (CRM), which was unique in the country. At this juncture, Goyal was exploring growth avenues. On the client side, he had the alternatives of focusing on the B2C segment or diversifying from B2B to B2C. Geographically, he had the options of expanding to tier II and tier III cities, which were the next growth hubs. The option of growing internationally was also on the cards. The purpose of the case is to analyse the opportunities in the education technology sector, specific to student enrolment and leverage the competencies of the firm to detail the future strategy of the firm.

The case can be used in a MBA program for a course in Strategic Management in the module of strategy formulation after fundamental concepts and theories of Strategic Management have been discussed.

Teaching notes are available for educators only.

CSS 11: Strategy.

The purpose of this study is to examine the sensitivity of regional and world poverty rates to the purchasing power parities (PPP) used in the calculations. The PPPs are required to convert the “international poverty line” typically denominated in US dollar to its local currency equivalent in the various countries. While recent studies on world poverty differ with respect to the specification of the international poverty line (IPL), they universally use the PPP available from the international comparison program (ICP). This study provides a departure and calculates PPPs using the Gini–Elteto–Koves–Szulc (GEKS) price index and country product dummy (CPD) model as alternatives to the ICP PPPs. The GEKS and CPD PPPs are compared with the ICP PPPs. The paper then compares the global and regional poverty rates based on the three sets of PPPs and presents evidence of significant revision to the poverty rates if we depart from the use of the ICP PPPs. The study tests for the presence of serial correlation between price movements in different countries and investigates its impact on the PPPs. The methodological contribution of this paper is to establish the close nexus between price indices and poverty rates via the PPPs used in obtaining the local currency unit (LCU) denominated IPL.

The PPP calculations in this paper relate to the ICP round, 2011. Along with the ICP PPPs from published reports (with India as the numeraire country), we report the following indices, namely, the GEKS, weighted CPD and its two spatially correlated generalisations. The ICP PPPs are used as benchmark. The ICP group in the World Bank made the price and expenditure information for 2011 available. Corresponding poverty rates are calculated at the country, regional and global levels.

The empirical evidence points to the fact that while at the country level the alternative calculations have high impact on the implied poverty rates, at the regional and global level the rates are reasonably quite robust.

Three points are worth noting, namely, as opposed to the PPP for “Individual consumption expenditure by households” (ICEH), which is the PPP used for international poverty monitoring by the World Bank and others, we have used the ICP PPPs for “Actual individual consumption” (AIC); although ICP uses the GEKS procedure above the BH level, we independently calculated these PPPs using the price information provided, and the base country has been moved from the USA to India.

One can come up with independently estimated PPPs that do not require the elaborate and expensive procedure set up by the ICP and can arrive at robust poverty rates at the regional and global level.

The change in base has been made as India shares many of the features of a developing country including high poverty rates, but at the same time provides a market and an economy size that places it in the top tier of nations. In addition, poverty comparisons amongst developing countries can be made using these PPPs directly, without reference to the USA. The poverty calculations are based on the PovcalNet program.

There is no clear answer to the question “how robust are the global poverty numbers to departures from the ICP PPPs?” in the literature nor is there any evidence on the robustness of the ICP PPPs themselves to changes in the ICP methodology. Given that the ICP uses the Gini–Elteto–Koves–Szulc (GEKS) multilateral price index in aggregation of ICP PPP basic heading data, in an attempt to partially answer this question this study examines the sensitivity of measures of relative prices (and poverty) to using CPD (and various spatial versions) and GEKS methods, using price data provided by the World Bank. It also verifies how these PPPs track the published 2011 ICP PPPs, which are used as benchmark.

Many aspects of well-being depend critically on individual-level expenditure and consumption. The Millennium Development Goals include the promotion of gender equality and the empowerment of women, which partly have to do with women’s access to resources within households. Many important questions in labour, public and development economics also hinge on the intra-household distribution of resources. This paper aims to estimate the resource shares within a household in the rural and urban sectors of West Bengal through a collective household model, where each household member has a specific utility function. The sharing rule parameters, that determine the apportionment of resources between members within a household, are estimated in an intra-household collective framework. The analysis is based on a system of log-quadratic Engel curves estimated using the 68th round (2011–2012) household-level consumption expenditure data of the Indian National Sample Survey Office (NSSO) for rural and urban sectors separately for the state of West Bengal.

The sharing rule parameters (that determine the apportionment of resources between members) within a household are estimated in an intra-household collective framework as suggested by Dunbar et al. (2013). The analysis is based on a Quadratic Almost Ideal Demand System (QUAIDS) estimated using the 68th round (2011–2012) household-level consumption expenditure data of the Indian NSSO.

In this paper, the authors estimate the sharing rule of total household expenditure between couples in a household in the state of West Bengal. They use a modified version of the QUAIDS and the 68th round (2011–2012) household-level consumer expenditure data provided by the NSSO. From the exercise, it emerges that on an average, the resource shares between husband and wife in a household is about 66:34% in the rural sector and about 60:40% in the urban sector. Based on a classification of households by the distribution of resource shares, where higher resource share for the husband is classified as “Husband dominated” and the reverse as “Wife dominated”, the percentage of “Husband dominated” households is much more in both sectors. This unequal distribution of resources may have far-reaching consequences on allocation of expenditure on the children of the household. The authors leave this exercise as a future project.

This paper is an attempt to estimate the sharing rule for households using NSSO consumption expenditure data. This paper also highlights the intra household unequal resource allocation through the sharing rule. They use a modified version of the QUAIDS and the 68th round (2011–2012) household-level consumer expenditure data provided by the NSSO. From the exercise, it emerges that on an average, the resource shares between husband and wife in a household is about 66:34% in the rural sector and about 60:40% in the urban sector. Based on a classification of households by the distribution of resource shares, where higher resource share for the husband is classified as “Husband dominated” and the reverse as “Wife dominated”, the percentage of “Husband dominated” households is much more in both sectors. This unequal distribution of resources may have far-reaching consequences on allocation of expenditure on the children of the household. The authors leave this exercise as a future project.

Non-orthogonal multiple access (NOMA) is a much hopeful scheme, which is deployed to enhance the spectral efficiency (SE) significantly, and it also enhances the massive access that has attained substantial concern from industrial and academic domains. However, the deployment of superposition coding (SC) at the receiver side resulted in interference. For reducing this interference, “multi-antenna NOMA” seems to be an emerging solution. Particularly, by using the channel state information at the transmitter, spatial beam forming could be deployed that eliminates the interference in an effective manner.

This survey analyzes the literature review and diverse techniques regarding the NOMA-based spatial modulation (SM) environment. It reviews a bunch of research papers and states a significant analysis. Initially, the analysis depicts various transmit antenna selection techniques that are contributed in different papers. This survey offers a comprehensive study regarding the chronological review and performance achievements in each contribution. The analytical review also concerns on the amplitude phase modulation (APM) selection schemes adopted in several contributions. Moreover, the objective functions adopted in the reviewed works are also analyzed. Finally, the survey extends with various research issues and its gaps that can be useful for the researchers to promote improved future works on NOMA-based SM.

This paper contributes to a review related to NOMA-based SM systems. Various techniques and performance measures adopted in each paper are analyzed and described in this survey. More particularly, the selection of transmission antenna and APM are also examined in this review work. Moreover, the defined objective function of each paper is also observed and made a chronological review as well. Finally, the research challenges along with the gaps on NOMA-based SM systems are also elaborated.

This paper presents a brief analysis of NOMA-based SM systems. To the best of the authors’ knowledge, this is the first work that uses NOMA-based SM systems to enhance SE.

This study aims to apply a proposed methodology for calculating spatial prices in a heterogeneous country setting such as India with limited price information. Based on the empirical evidence, the study plans to draw the spatial price map of India with different colours denoting states and districts with varying level of spatial prices.

This study shows that a procedure proposed by Lewbel (1989), based on the idea by Barten (1964) that household composition changes have “quasi-price effects”, can be used to estimate spatial prices in the absence of information on regional prices.

The evidence on spatial price differences in India, which is the most comprehensive to date because it goes down to district level, shows that the proposed procedure has considerable potential in future applications on other data sets with limited price information. The policy importance of the results is underlined by the sensitivity of the demand elasticities to the inclusion/omission of spatial price variation.

The study uses “pseudo unit values” based on household composition and demographic effects on demand as proxy for the missing price information. While the work of Atella et al. (2004) suggests that such proxies are accurate representations of true prices, nevertheless, they are proxies and the results should be treated with caution.

The evidence on spatial prices in India that point to a high degree of price heterogeneity between regions implies that welfare applications such as income distributional and poverty studies must take account of the price heterogeneity within the country. The implications extend beyond India to cross-country exercises such as the purchasing power parity calculations undertaken by the International Comparison Project.

This is one of the first studies that provide evidence on spatial price heterogeneity within a country without requiring regional price information. Methodologically, the paper builds on the suggestion of Lewbel (RES, 1989) in showing how the demographic effects on household expenditure pattern can be used to estimate spatial prices. The value of the contribution lies in the use that the estimated spatial prices can be put to in calculating inequality and poverty rates and in standard of living comparisons between regions in the country.

This paper aims to investigate Google’s top developers’ apps with trust badges to see if they warrant an additional level of trust and confidence from consumers, as stated by Google.

Risky app permissions and in-app purchases (IAP) from Google’s top developers and traditional developers were investigated in several Google Play top app categories, including Editor’s Choice apps. Analysis was performed between categories and developer types.

Overall, Google’s top developers’ apps request more risky permissions and IAP than do traditional developers. Other results indicate that free apps are more dangerous than paid apps and star ratings do not signify safe apps.

Because of a limited number of Google’s top developers and Editor’s Choice apps, conclusions are drawn from a small sample of apps and not the entire market.

Google’s top developers’ apps are suited well for increasing revenue for Google and developers at the consumer’s expense. Consumers should be wary of top developer trust badges.

As the lure for “top free” and “top developer” software is strong among consumers, this research contributes to societal welfare in that it makes consumers aware that Google top developer app trust badges and free apps are more dangerous than traditional developer and paid apps, as they request risky permissions at a much higher frequency. Therefore, consumers should be very careful when downloading apps that are advertised as “top free” or “top developer”.

Google’s top developers’ apps and Editors’ Choice apps have not been investigated from the perspective of permissions and IAP before.