Biases in demand analysis due to variation in retail distribution

Aggregate demand models typically assume that consumers choose between all available products. Since consumers may be unwilling to search across every store in a given market for a particular item, this assumption is problematic when product assortments vary across stores. Using supermarket scanner data for five product categories we demonstrate that approximately one third of products have limited retail distribution, which account for one fourth of dollar sales. Monte Carlo analysis demonstrates that the level of limited product availability observed in the data can significantly bias the results of aggregate demand models that incorrectly assume all consumers in a given market face the same choice set.     

Defining the Relationship among Founding Resources,Strategies, and Performance in Technology-Intensive New Ventures: Evidence from the Semiconductor Silicon Industry*

The degree to which a firm's performance is dependent on its resources and strategies is widely debated in the literature. We examine this issue by analyzing historical data on the entire population of new independent firms started worldwide in the semiconductor silicon industry for the first 50 years of its existence. We measure resources (managerial capabilities and technological competencies) and strategies (emphasis on demand pull or technology push) at the time of founding and test their relationship with each other as well as with multiple measures of performance (lifespan and best year's sales). We find that firms founded on managerial capabilities emphasize demand-pull strategies at founding, whereas firms founded upon technological competencies emphasize technology-push strategies at founding. We also find that firms emphasizing technology-push strategies perform better than firms emphasizing demand-pull strategies. Lastly, we find that though managerial capabilities are related to a firm's best year's sales, this relationship is mediated by the firm's founding strategy.     

Process System Modelling of Production Technology Alternatives using Input– Output Tables with Sector Specific Units

Input–output analysis is usually based on tables of accounts expressed in uniform monetary or physical units. However, from a process system modelling perspective, tables of accounts in sector specific units may be more useful for evaluating the effectiveness of new production technologies on reducing pollutant emissions. Using the sector specific unit conceptualization of an IO table, one can consider the effect of changes in direct input coefficients for a particular sector on the complete set of total input coefficients independently from the other direct input coefficients. A process system modelling based method for calculating the total industrial outputs from a new technology matrix together with the new relative prices for each sector output is presented. The method is then used to study the effect of technology changes in the steel making industry in Liaoning Province, China on prices and pollutant emissions.     

Predicting organizational identification at the CEO level

To develop further insight into antecedents of the CEO's psychological orientation toward the firm, we investigate what might lead CEOs to identify with their firms. Although research suggests that CEO organizational identification can be quite consequential for the firm, little research attention has been paid to its determinants. To predict how the special context of the CEO position might lead to identification, we consider a set of motives that members have for identifying with their organizations and consider how unique features of the CEO position might be relevant to those motives. Our theory and supportive findings help explain how the context of the CEO position, including variables often conceptualized as control mechanisms in agency theory research, can have important effects on subsequent CEO organizational identification. Copyright © 2014 John Wiley & Sons, Ltd.     

Moral Memory: Why and How Moral Companies Manage Tradition

Recent research on the role of ethics in the organizational culture literature found practically the whole literature reduced to a debate between ethical rationalism and ethical relativism. The role of the past in the form of tradition to maintain and improve moral reflection is completely missing. To address this gap in the literature on the level of practice, the concepts of moral memory and moral tradition are applied to data on 22 companies that have long-standing moral practices. In this way, the practice of moral traditions can be explored with recent conceptual advances and a list of best practices delineated. Moral memory is the recollection of and attachment to the succession of past events and experiences that maintains moral tradition. Moral tradition is the continuing transmission and reception of related moral themes through multiple generations of employees. It is found that companies that maintain moral traditions tend to develop “family” cultures with considerable compassion for workers as persons who have non-economic needs and rights. These companies also temper the role of leadership, insisting that leaders are responsible for and are evaluated by the company’s moral traditions. Finally, moral traditions are essential mechanisms through which companies paradoxically both stimulate and limit competitive behavior. Steven P. Feldman is Associate Professor of Management Policy, Weatherhead School of Management, Case Western Reserve University. Over the last decade, Dr. Feldman’s research has explored the role of moral memory and moral tradition in the ethical aspects of organizations. His book, Memory as a Moral Decision: The Role of Ethics in Organizational Culture (2002), found that the emotional and cognitive aspects of memory to be key in establishing moral organizational cultures. The moral importance of the past in the present has received little attention in the literature on organizational culture. Winner of the Distinguished Lectureship in Business Ethics from the American Fulbright Program, Dr.␣Feldman will be carrying out research on ethical issues in American-Chinese business relations in Shanghai in 2007.     

Strategies to prevent economic recessions from causing business failure

An average of more than 500,000 businesses failed in the United States during each of the 10 recessions that have occurred since the end of World War II. Yet, scholar and practitioner understanding of how to prepare for and respond to the challenges of an economic downturn remains extremely limited. This article analyzes and synthesizes the information from academic theory and business experience on managing through an economic recession. To assist firms in successfully navigating economic recessions, we suggest a program that involves positioning by investing in multiple markets and geographies, planning by developing a turnaround plan for facing sharply declining sales, promoting by maintaining marketing initiatives, and preparing by acting in anticipation of economic recovery.     

Consumer Self-Confidence in Wine Consumers: The Role of Knowledge-Based Factors

This study uses the Wine Self-Confidence Scale (WSCS) with a sample of 297 customers of ABC Fine Wine and Spirits, a Florida-based retailer, to examine aspects of self-confidence in wine purchasing. The results indicate that two knowledge-based self-confidence factors (information knowledge and persuasion knowledge) were predominant for these consumers. The study showed strong support for the WSCS, which was developed as a measure of self-confidence in wine buying by Olsen, Thompson, and Clarke (2003) and how these relate to reliance on personal experience.     

Entrepreneurship through a qualitative lens: Insights on the construction and/or discovery of entrepreneurial opportunity

This article applies inductive analytic techniques to identify and elaborate on two recurring themes that underpin the core puzzle of entrepreneurship research — where entrepreneurial opportunities come from. The first theme is the unique role of imprinting, or the profound influence of social and historical context in constraining the perceptual apparatus of entrepreneurs and delimiting the range of opportunities for innovation available to them. Second, our analysis offers insight into the counterbalancing role of reflexivity, operating at both individual and collective levels of analysis, in generating the ability of entrepreneurs to overcome the constraints of imprinting. These insights are based on a thematic review of the nine studies that comprise this special issue on qualitative research. The nine studies, individually and each in their own way, offer key insights into how we might better understand the emergence of entrepreneurial opportunity.     

Prisoner’s Dilemmas, Cooperative Norms, and Codes of Business Ethics

Prisoner's dilemmas can lead rational people to interact in ways that lead to persistent inefficiencies. These dilemmas create a problem for institutional designers to solve: devise institutions that realign individual incentives to achieve collectively rational outcomes. I will argue that we do not always want to eliminate misalignments between individual incentives and efficient outcomes. Sometimes we want to preserve prisoner's dilemmas, even when we know that they systematically will lead to inefficiencies. No doubt, prisoner's dilemmas can create problems, but they also create opportunities to practice the cooperative norms that make market institutions possible in the first place. An ethical market culture, I argue, benefits from the presence of prisoner's dilemmas. I first consider standard approaches for solving prisoner's dilemmas. I then argue for the value of prisoner's dilemmas. Finally, I show the significance of this argument for advocating codes of business ethics.     

Closed-form Bayesian inferences for the logit model via polynomial expansions

Articles in Marketing and choice literatures have demonstrated the need for incorporating person-level heterogeneity into behavioral models (e.g., logit models for multiple binary outcomes as studied here). However, the logit likelihood extended with a population distribution of heterogeneity doesn’t yield closed-form inferences, and therefore numerical integration techniques are relied upon (e.g., MCMC methods). We present here an alternative, closed-form Bayesian inferences for the logit model, which we obtain by approximating the logit likelihood via a polynomial expansion, and then positing a distribution of heterogeneity from a flexible family that is now conjugate and integrable. For problems where the response coefficients are independent, choosing the Gamma distribution leads to rapidly convergent closed-form expansions; if there are correlations among the coefficients one can still obtain rapidly convergent closed-form expansions by positing a distribution of heterogeneity from a Multivariate Gamma distribution. The solution then comes from the moment generating function of the Multivariate Gamma distribution or in general from the multivariate heterogeneity distribution assumed. Closed-form Bayesian inferences, derivatives (useful for elasticity calculations), population distribution parameter estimates (useful for summarization) and starting values (useful for complicated algorithms) are hence directly available. Two simulation studies demonstrate the efficacy of our approach. JEL Classification C6 · C8 · M3