Motivators and barriers to sustainable food consumption: Qualitative inquiry about organic food consumers in a developing nation

The present research attempts to qualitatively explore the motivators and barriers of organic food consumption in the Indian context. The data were collected using semistructured in‐depth interviews and analyzed using grounded theory. The theoretical sampling technique was used to interview 34 consumers who have purchased organic food in the past. The findings reported health consciousness, environmental consciousness, social identity, consumer ethnocentrism, and concern for farmers as the factors that motivate organic food purchase among consumers. The factors such as high prices of organic food, unavailability, trust issues, and limited marketing communications from the firms were identified as major barriers to organic food purchase and consumption. The study is one of the initial attempts to qualitatively explore the consumers' motivation for organic food consumption in the Indian context. The findings will help policymakers to devise suitable strategies so that they can effectively target the organic food choices by understanding the motivators/barriers, and promote the sustainable lifestyle in the society, as food consumption plays a crucial role in achieving environmental sustainability.     

Exact finite sample properties of double k-class estimators in simultaneous equations

In our earlier paper [Srivastava, Agnihotri and Dwivedi (1980)] the dominance of double k-class over k-class with respect to exact mean squared error matrix criteria is established. It is observed that given a member of k-class, one can pick up a member of double k-class that will provide an improved estimator of the coefficients. This result prompted us to study the exact finite sample properties of the double k-class estimator. For this, we have considered a structural equation containing two endogenous variables and have investigated the properties of double k-class estimators of the coefficients of explanatory endogenous variables assuming characterizing scalars to be non-stochastic.     

Determining the going market value of a business in an emerging information technology industry: The case of the cellular communications industry

Given the phenomenal growth or the anticipation of growth in certain information technology industries, concerns for economy of scale, market access and expansion, and the need for ongoing research and development are resulting in mergers, acquisitions, and strategic alliances. A key question in such industries is what is, or should be the going market value of a business? This paper suggests an approach to imbed market penetration models in the popular value-based planning approach suggested by Rappaport [36] to obtain the going market value of a business. The model developed in implementing the approach is tailored for the cellular communications industry. Limitations and adaptations of the approach to other industries are discussed.     

An Epistemological Reflection on Social and Solidarity Economy

Social and Solidarity Economy (SSE) is emerging as life affirming solutions to the global crises through the multiple ways people locally reinvent economic life on the margins of the capitalist system based on values of solidarity, reciprocity and sustainability. Although the SSE builds on a strong foundation of real practices and institutions of economic transformation as the way forward for us, this paper argues that this world of practice is in need of its theory to frame discourses and engage with the bigger picture with confidence as an alternative to the dominant economic paradigm. The author argues that the orthodox economics, with its ontological construct of the homo economicus, Cartesian dichotomy and logical positivist epistemology severely constrains our abilities to understand and appreciate economic alternatives based on ‘other’ rationalities. Hence, there is a need for an epistemological revolution to construct a coherent theoretical framework from the wreckages of the neoclassical economics for the SSE. This paper seeks to outline the basic structure and the key elements of the ontological and the epistemological framework for this ‘science-in-the-making’ as a step to stimulate further debate for a paradigm revolution.     

The Incidence of Public Spending on Healthcare: Comparative Evidence from Asia

The article compares the incidence of public healthcare across11 Asian countries and provinces, testing the dominance of healthcareconcentration curves against an equal distribution and Lorenzcurves and across countries. The analysis reveals that the distributionof public healthcare is prorich in most developing countries.That distribution is avoidable, but a propoor incidence is easierto realize at higher national incomes. The experiences of Malaysia,Sri Lanka, and Thailand suggest that increasing the incidenceof propoor healthcare requires limiting the use of user fees,or protecting the poor effectively from them, and building awide network of health facilities. Economic growth may not onlyrelax the government budget constraint on propoor policies butalso increase propoor incidence indirectly by raising richerindividuals' demand for private sector alternatives.     

Are all outside directors created equal with respect to firm disclosure policy?

Review of Quantitative Finance and Accounting - This study looks into the role of corporate life cycle on market discounts and firm performance in private placements. Using the standard event study...     

Role of search for domain knowledge and architectural knowledge in alliance partner selection

Research Summary: The literature on technological alliances emphasizes that search for knowledge drives alliance formation. However, in conceptualizing technological knowledge, prior work on alliances has not made a distinction between domain knowledge—knowledge that firms possess in distinct technological domains—and architectural knowledge—knowledge that firms possess about how to combine elements from different technological domains. We argue that firms seek partners that are similar in domain knowledge to deepen their knowledge, and partners that are dissimilar in architectural knowledge to broaden their knowledge. Our results indicate that the likelihood of alliance formation increases when two firms are similar in domain knowledge and dissimilar in architectural knowledge. Further, our results show that these effects are positively moderated by the degree of decomposability of a firm's knowledge base. Managerial Summary: In dynamic environments, companies need to continually deepen and broaden their technological knowledge, and they often look for alliance partners who can provide them that knowledge. For knowledge deepening, companies are more likely to form alliances with those companies that have expertise in similar technological fields. For knowledge broadening, they are more likely to form alliances with those companies that have expertise in the same technological fields, but have different recipes for combining knowledge from those fields. Furthermore, a company with a modular knowledge base is more likely to seek a partner that has expertise in similar technological fields or whose recipes for combining knowledge from different technological fields are different from the recipes it has.     

The appropriateness of default investment options in defined contribution plans: Australian evidence

For participants in defined contribution (DC) plans who refrain from exercising investment choice, plan contributions are invested following the default investment option of their respective plans. Since default investment options of different plans vary widely in terms of their benchmark asset allocation, the most important determinant of investment performance, participants enrolled in these options face significantly different wealth outcomes at retirement. This paper simulates the terminal wealth outcomes under different static asset allocation strategies to evaluate their relative appeal as default investment choice in DC plans. We find that strategies with low or moderate allocation to stocks are consistently outperformed in terms of upside potential of exceeding the participant's wealth accumulation target at retirement as well as downside risk of falling below that target outcome by aggressive strategies whose allocation to stocks approach 100%. The risk of extremely adverse wealth outcomes for plan participants also does not appear to be very sensitive to asset allocation. Our evidence suggests the appropriateness of strategies heavily tilted towards stocks to be nominated as default investment options in DC plans unless plan providers emphasize predictability of wealth outcomes over adequacy of retirement wealth.     

An Approach to Assess the Importance of Brand Equity in Acquisition Decisions

Many firms acquire other firms with well-known and proven brands to hedge against the high costs and risks of new product development. A critical question in these acquisition decisions involves the assessment of the importance of brand equity to the acquiring firm. Since the brand equity benefits can vary by firm (and also by the decision maker within a firm) a critical question is how can one systematically decipher the effect of brand equity in acquisition decisions. Using the balance model [8,15], Vijay Mahajan, Vithala Rao, and Rajendra Srivastava present a methodology to determine the importance of brand equity in acquisition decisions. By capturing the idiosyncratic perceived importance of brand equity of every decision maker involved in acquisition decisions, the methodology enables members of a committee within a firm to understand and reconcile their differences in evaluating potential acquisitions. This methodology is applied in a pilot study for the all-suites segment of the hotel industry with data collected from senior executives of five major hotel chains. The authors also discuss benefits, limitations, and further extensions of the suggested approach.     

A necessary and sufficient condition for the dominance of an improved family of estimators in linear regression models

This article presents a necessary and sufficient condition for the dominance, with respect to the risk under a general quadratic loss function, of the double k-class estimators (characterized by non-stochastic scalars) over the least squares estimator of coefficients in linear regression models.