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.     

Modelling the dynamics of Bitcoin and Litecoin: GARCH versus stochastic volatility models

We examine and compare a large number of generalized autoregressive conditional heteroskedastic (GARCH) and stochastic volatility (SV) models using series of Bitcoin and Litecoin price returns to assess the model fit for dynamics of these cryptocurrency price returns series. The various models examined include the standard GARCH(1,1) and SV with an AR(1) log-volatility process, as well as more flexible models with jumps, volatility in mean, leverage effects, t-distributed and moving average innovations. We report that the best model for Bitcoin is SV-t while it is GARCH-t for Litecoin. Overall, the t-class of models performs better than other classes for both cryptocurrencies. For Bitcoin, the SV models consistently outperform the GARCH models and the same holds true for Litecoin in most cases. Finally, the comparison of GARCH models with GARCH-GJR models reveals that the leverage effect is not significant for cryptocurrencies, suggesting that these do not behave like stock prices.     

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.     

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...     

The state of research on technological uncertainties, social uncertainties and emerging markets: A multidisciplinary literature review

The objective of this research work is to study the progress of research on technological uncertainties, social uncertainties and emerging markets and outline and identify the key disciplines, journals, articles and authors. For this the author studied the existing literature from the various fields in which technological uncertainties, social uncertainties and emerging markets research work have been published using ISI Web of Knowledge database. The paper finds that there is increasing research work on technological uncertainties, social uncertainties and emerging markets and the bibliographical search resulted in ninety-one documents written by one-hundred-sixty-one authors in eighty-four journals in seventy-two disciplines. The five major disciplines and their underlying journals are business and economics, agriculture, psychology, public administration, and environmental sciences and ecology accounting for majority of publications. In journals the most prolific, measured by number of articles published are Harvard Business Review, Social Science and Medicine, World Development, and Higher Education; and most influential, measured by the global citation received, are Harvard Business Review, Social Science and Medicine and Sociological Review. The top 10% of the journals are responsible for 23% of all publications but 85% of all global citations received. This highlights that despite the high, diverse and increasing number of journals; only few are dominating and shaping the research arena of technological uncertainties, social uncertainties and emerging markets. Further, in the ten most cited articles, no author appears more than once.     

Effects of age, need for cognition, and affective intensity on advertising effectiveness

This paper explores how individual characteristics of age, need for cognition (NFC), and affective intensity (AI) interact with each other and with advertising appeal frames (i.e., rational, positive-emotional, negative-emotional) to influence ad attitudes, involvement, and recall. The mixed design study reveals that younger adults recall emotional messages, especially negative ones, better than rational ones, but recall does not differ for older adults across appeal frames. Older adults prefer rational and positive messages to negative-emotional messages but ad attitudes do not differ among younger adults across appeal frames. Finally, age interacts with AI, but not NFC, to influence ad responsiveness. Both age and AI influence ad attitudes such that older adults exhibit the most positive ad attitudes across all appeal frames.     

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.     

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.     

Market-based capabilities and financial performance of firms: insights into marketing’s contribution to firm value

While there is recognition that market-based capabilities contribute to a firm’s financial performance, the exposition is largely conceptual (Srivastava et al. Journal of Marketing 62:2–18, 1998; Journal of Marketing 63:168–179, 1999). Using a resource based view of the firm, the present study proposes that (1) market-based assets and capabilities of a firm impacts (2) performance in three market-facing business processes (new product development, supply-chain and customer management), which in turn, influence (3) the firm’s financial performance. It develops related hypotheses and tests the framework empirically. The study also examines for the first time the interrelationship among the three business processes and their impact on the market value of firms. Further, the study examines the moderating influence of two organizational variables—size and age of the firm. Overall, the major contribution of the study is that it offers a process linkage between capabilities, process performance and financial performance. The results of this research will provide strategic insights to managers on optimal customer management, product development and supply chain strategies.