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The purpose of this paper is to extend the methodology proposed in Majumder et al. (2012) for the estimation of the item-specific purchasing power parities (PPPs) within countries, to the cross-country context. It estimates item-specific intra-country PPPs (i.e. spatial prices) and inter-country PPPs in a unified framework using unit records of household food expenditures from three Asian countries: India, Indonesia and Vietnam, covering contemporaneous time periods. The study addresses a key limitation of the International Comparison Program (ICP) exercise, namely, that it treats all countries, large and small, as homogeneous entities. Moreover, it directly calculates bilateral PPPs between countries based on their expenditure patterns and prices alone and directly estimates the price-level indices (PLI) and their standard errors, allowing formal tests of the hypothesis of PLI being unity. The usefulness of the estimated PPPs is illustrated by applying them to comparisons of real food expenditures between the three countries, and benchmarking the comparisons with those using the ICP PPPs.

The methodology is based on the fact that a spatial price index can be viewed as a true cost of living index (TCLI). Using a general cost function underlying the Rank 3 quadratic logarithmic systems, the TCLI is calculated for a reference utility level.

The study provides formal statistical tests of the hypothesis of item invariance of the PPPs. The usefulness of the proposed methodology is illustrated by applying the estimated PPPs in comparisons of food expenditures between subgroups in the three countries. The sensitivity of the expenditure comparisons to the use of item-wise PPPs underlines the need to provide price information on highly disaggregated PPPs to a much greater extent than the ICP has done to date.

The choice of these three Asian countries was dictated by the fact that, though comparability of items between them remains an issue as with all cross-country comparisons. Also, in the absence of price data, this study followed the practice in Majumder et al. (2012, 2015a, 2015b) in using as proxies the raw unit values of the food items, but adjusted for quality and demographic factors using the procedure introduced by Cox and Wohlgenant (1986) and extended by Hoang (2009).

It addresses some limitations of the ICP, namely, ICP treats all countries as single entities with the purchasing power of the country’s currency assumed to be the same in all regions within the country, ICP uses the US dollar as the numeraire (this ignores the fact that the PPPs required in bilateral welfare comparisons between developing countries with vastly different consumption habits from the “international norm” are quite different from the ICP PPPs) and ICP uses distribution invariant prices to calculate PPPs, which overlooks the fact that the poor pay different prices from the “representative” individual.

This study highlights the importance of estimating and using item-specific PPPs in cross-country comparisons by formally testing and rejecting the assumption of item invariant PPPs and by providing empirical evidence that they do make a difference to the welfare comparisons between countries. This study provides PPPs based on food items only, which may be more relevant for poverty comparisons.

It introduces, for the first time, the concept of item-specific PPPs between countries as estimable parameters and operationalizes this concept by using them in cross-country welfare comparisons.

A number of US firms voluntarily de‐listed their stock from the Tokyo Stock Exchange (TSE) during the years 1977–97. We examine changes in trading volume, return volatility and implicit bid‐ask spreads in the U.S. stock exchange surrounding the de‐listing, and find evidence of an increase both in trading volume and bid‐ask spreads, particularly when the analysis is conditioned upon (a) trading volume on the TSE prior to de‐listing and (b) whether the de‐listing firm had operations in Japan. We also examine the daily stock price movement of the de‐listed firms and find a significantly negative price movement at the time of the de‐listing announcement, and also around the actual date of de‐listing. The results suggest a negative price response reflecting both a temporary information effect and also a more permanent valuation effect. Preliminary tests suggest that the latter is not related to the decrease in liquidity.

The purpose of this paper is to develop turnover reasons and assess their importance for various family role configurations. Specifically, the authors were interested in whether high levels of family financial obligation related to family‐related turnover reasons and whether low levels of family financial obligation related to job‐related turnover reasons.

The authors used both qualitative and quantitative methods to develop and test the turnover reasons; this involved conducting interviews and pilot testing the turnover items, which were evaluated with factor analysis. The main study was analyzed using MANOVA.

The authors developed six turnover reasons that help explain why individuals were leaving their jobs. It was also found that employees with relatively low financial obligation were more likely to leave the organization because of lack of managerial support, job content and high levels of work‐related stress.

The measures in this study were cross‐sectional, participants were employees in the information technology/business process outsourcing (IT/BPO) sector, and the study included a single‐country. Future studies can focus on multiple industries and countries and use objective variables in determining key relationships.

The study's results show the major reasons for turnover, both at an individual and organizational level, which include managerial support, job content and work‐related stress; each was particularly significant for those married without children in a dual‐earner situation.

The paper contributes by examining, for the first time, the relationships between family demographic profiles and turnover reasons for Indian IT/BPO workers.

A composite sentiment index (CSI) from quantitative proxy sentiment indicators is likely to be a lag sentiment measure as it reflects only the information absorbed in the market. Information theories and behavioral finance research suggest that market prices may not adjust to all the available information at a point in time. This study hypothesizes that the sentiment from the unincorporated information may provide possible market leads. Thus, this paper aims to discuss a method to identify the un-incorporated qualitative Sentiment from information unadjusted in the market price to test whether sentiment polarity from the information can impact stock returns. Factoring market sentiment extracted from unincorporated information (residual sentiment or sentiment backlog) in CSI is an essential step for developing an integrated sentiment index to explain deviation in asset prices from their intrinsic value. Identifying the unincorporated Sentiment also helps in text analytics to distinguish between current and future market sentiment.

Initially, this study collects the news from various textual sources and runs the NVivo tool to compute the corpus data’s sentiment polarity. Subsequently, using the predictability horizon technique, this paper mines the unincorporated component of the news’s sentiment polarity. This study regresses three months’ sentiment polarity (the current period and its lags for two months) on the NIFTY50 index of the National Stock Exchange of India. If the three-month lags are significant, it indicates that news sentiment from the three months is unabsorbed and is likely to impact the future NIFTY50 index. The sentiment is also conditionally tested for firm size, volatility and specific industry sector-dependence. This paper discusses the implications of the results.

Based on information theories and empirical findings, the paper demonstrates that it is possible to identify unincorporated information and extract the sentiment polarity to predict future market direction. The sentiment polarity variables are significant for the current period and two-month lags. The magnitude of the sentiment polarity coefficient has decreased from the current period to lag one and lag two. This study finds that the unabsorbed component or backlog of news consisted of mainly negative market news or unconfirmed news of the previous period, as illustrated in Tables 1 and 2 and Figure 2. The findings on unadjusted news effects vary with firm size, volatility and sectoral indices as depicted in Figures 3, 4, 5 and 6.

The related literature on sentiment index describes top-down/ bottom-up models using quantitative proxy sentiment indicators and natural language processing (NLP)/machine learning approaches to compute the sentiment from qualitative information to explain variance in market returns. NLP approaches use current period sentiment to understand market trends ignoring the unadjusted sentiment carried from the previous period. The underlying assumption here is that the market adjusts to all available information instantly, which is proved false in various empirical studies backed by information theories. The paper discusses a novel approach to identify and extract sentiment from unincorporated information, which is a critical sentiment measure for developing a holistic sentiment index, both in text analytics and in top-down quantitative models. Practitioners may use the methodology in the algorithmic trading models and conduct stock market research.

This paper seeks to assess the hierarchical tendencies among direct recruit managers, managers promoted from supervisory grade and supervisors in a large bureaucracy in India using an instrument developed in India.

The instrument assesses hierarchy on three dimensions of “tendency for personalized relationship with superiors”, “status consciousness with superiors” and “dependence on superiors”.

The paper concludes that in the Indian bureaucracy, 15 years of liberalization and more than 50 years of democracy have not brought about differential hierarchical tendencies between younger employees who joined the bureaucracy less than two years ago, and older employees who joined the bureaucracy roughly 25 years ago. Employees in Indian bureaucracy continue to be dependent on their superiors and continue to be conscious of the status of their superiors. However, they do not feel the necessity of developing a personalised relationship with their superiors. Further, employees exposed to higher managerial responsibilities are less dependent on their superiors and less conscious of the status of their superiors than employees exposed to supervisor level responsibilities.

The paper provides empirical evidence to managers dealing with Indian bureaucracy about which dimensions of hierarchy need to be carefully handled by them. It also indicates the extent to which the Indian bureaucrats will be amenable to participative management practices espoused in the West.

The paper makes an in‐depth empirical study of the well‐established hierarchical nature of Indians in an Indian bureaucracy. Thereby, this paper identifies the specific dimensions of hierarchy that are still prevalent in the Indian bureaucracy.

This paper seeks to argue against the conventional wisdom in the current TQM literature that hierarchy is not conducive for TQM. It aims to identify the cultural dynamics that can aid TQM implementation in a hierarchical country like India.

The paper reflects on the existing literature on culture and TQM and develops a mechanism that explains why hierarchy hinders TQM implementation in Western culture and how it can support TQM implementation in Indian culture.

In a people oriented culture like those of Japan and India, nurturance is the juice that sustains hierarchy that finally morphs into collectivism. In these social systems, there need not be conflicting impact of hierarchy and collectivism on TQM implementation if the nurturance aspect of hierarchy is understood. Thus, in the Indian context, hierarchy, operationalised through the guru‐shishya (teacher‐student) relationship between the boss and the subordinate can develop a learning orientation among the organisational members and facilitate TQM implementation. Similarly, by superimposing the element of “equity” on the “personalised relationship” dimension of hierarchy, in a collectivistic society like India, it is possible to elevate the aspect of “personalised relationship” between superior and subordinate to the status of “individualised consideration” dimension of transformational leadership provided it is bestowed only upon the satisfactory completion of “task” by the subordinate.

This paper shows how the cultural aspect of TQM implementation should be handled in a high power distance country like India.

The paper identifies the two Indian cultural aspects that can facilitate TQM implementation in India notwithstanding the hierarchical Indian values.

The purpose of this paper is to examine the impact of working capital management (WCM) on profitability under different financial conditions (constraint/unconstraint) and WCM policy (aggressive/conservative). Furthermore, the study investigates the existence of optimal working capital levels under different financial conditions and WCM policy.

Two-step system generalized method of moments and fixed effect models are used to analyze the data collected from Prowess database from 2011 to 2020 for a sample of 1,104 Indian manufacturing companies.

The study finds an inverted U-shaped relationship between working capital and profitability in all financial conditions and working capital policy. This finding advocates the existence of an optimal level of working capital that equates the costs and benefits of holding working capital to maximize the companies’ profitability. However, holding working capital beyond the optimal level negatively affects profitability. Companies under financial constraints with aggressive working capital policies have the lowest optimal cash conversion cycle (CCC). Furthermore, the relationship of working capital with profitability and the optimal CCC varies owing to firm age and industry group.

To the best of the authors’ knowledge, this is the first paper that incorporates the impact of working capital on firm’s performance from both financial constraint (unconstraint) and aggressive (conservative) working capital policy perspectives in the Indian context. Furthermore, this study also contributes in terms of reflecting the effect of firm age and industry in determining the optimum CCC of the firms.

The contribution of this study is both methodological and empirical. It provides a method of estimating preference consistent true cost of living indices and demonstrates the use of unit values (food items), adjusted for quality and demographic effects, as prices. Using NSS data, changes in living standards (measured by per capita real expenditure) in India are examined between 1999/2000 and 2009/2010. The paper aims to discuss these issues.

From the adjusted unit values, “exact” price indices are computed using QAIDS-based preference consistent methods that allow between-item substitution effects and variation across states.

A comparison of the nominal and price deflated real expenditures under alternative temporal price scenario during 1999/2000-2009/2010 shows that the states largely preserve their ranks over the periods, in spite of differential temporal price movement. However, comparison of the nominal and price-deflated real expenditure growth reveals that the rankings are sensitive to the price deflator used.

The results question the wisdom of the treatment of large countries with heterogeneous preferences, e.g. India, as single entities in PPP calculations as in the ICP project. Hence, the results have methodological and empirical implications that extend beyond India.

The study provides evidence on the issue of spatial difference in the temporal movement in prices, where no such evidence exists, and contains the first evidence on living standards in India in the post global financial crisis era. Also, this is the first attempt to base calculation of temporal movement in prices, as measured by the “exact” price indices, on the adjusted unit values of food items.

With the rapid rise in the number of start-ups, corporate social responsibility (CSR) can principally contribute to the nation’s socioeconomic development, making it more critical. This study aims to explore the effect of sustainability practices on a firm’s performance with competitive advantage (CA) and innovation (INN) as the mediating variable.

An exhaustive literature review was done to identify the constructs relationship for this study, and a questionnaire was used to gather the data from the start-up owners. In total, 400 samples were received, and partial least squares structural equation modeling was used for testing and validating the proposed hypotheses.

CSR and financial performance (FP) have a significant relationship. According to this study’s findings, innovation and CA substantially mediate the relationship between a firm’s FP and CSR. This study will highlight how CSR practices stimulate organizational creativity, problem-solving and strategic thinking. It will also demonstrate how CSR can foster a culture of innovation that generates long-term value and positively impacts FP.

It will aid in improving the knowledge of start-up owners that CSR is more than just pure altruism or philanthropy; instead, it must be promoted strategically as an investment that boosts productivity and creativity while also bringing overall financial benefits to the company. It will ultimately enhance the start-ups’ ability to improve the economy and society. Furthermore, this study holds the potential to inform policy discussions and recommendations for fostering responsible business practices in the Indian start-up ecosystem. Policymakers can benefit from insights into how regulations and incentives can be designed to encourage start-ups to adopt CSR practices that not only fulfill legal obligations but also contribute to their CA and FP.

This study provides empirical validity to establish linkages between sustainability measures on the FP concerning start-ups that were not considered in the prior studies. Identifying the current conceptual framework and CA and Innovation as the two major factors influencing CSR in Indian enterprises is a novel contribution. This study aims to fill the research gap. By unravelling the intricate dynamics between CSR, FP and CA, the research contributes to the understanding of how start-ups can navigate the complex interplay of social responsibility and business success in the Indian context.