How does financial performance affect marketing? Studying the marketing-finance relationship from a dynamic perspective

In this article, the authors provide a dynamic framework for understanding the relationship between marketing and financial performance. They suggest that firms market to financial markets as well as to consumption markets and that some mixture provides superior long-term performance. The authors discuss the potential pitfalls of overemphasizing one market to the detriment of another and then provide a theoretical model of the factors that influence the extent of marketing to financial markets. This is followed by a discussion of implications for theory, practice, and future research. Mitchell J. Lovett (mitchell.lovett@duke.edu) is a Ph.D. student in the Fuqua School of Business at Duke University. His current research interests include consumer and seller learning in dynamic environments, competitive and dynamic marketing strategies, and the role of marketing in innovation. Jason B. MacDonald (jmacdona@boisestate.edu) is an associate professor of marketing in the College of Business and Economics at Boise State University. His current research interests include the role of marketing in investor relations and Internet marketing strategy.     

The desired level of market orientation and business unit performance

Existing studies of market orientation have hypothesized that the strength of the market orientation/performance relationship depends on environmental variables such as market turbulence, technological turbulence, and competitive intensity. To date most empirical studies have failed to confirm these hypotheses; however, these studies (1) assumed that performance is a linear function of the achieved level of market orientation and (2) tested whether environmental uncertainty moderates this relationship. A complementary explanation for the impact of environmental variables on a firm’s market orientation arises from studies of organizational behavior that link the need for coordination and control to environmental uncertainty and organizational strategy. Building on this perspective, the authors argue that (1) environmental uncertainty influences the desired level of market orientation and (2) the gap between the desired and achieved levels of market orientation influence business unit performance. The authors test these hypotheses with data collected from multiple respondents in 308 US firms. The data analysis confirms that the desired level of market orientation is a function of market turbulence, competitive intensity, technological turbulence, and innovation strategy. In addition, the desired level of market orientation positively influences the achieved level. Finally, when the achieved level of market orientation is less than the desired level, business unit performance is a negative function of the gap between the desired and achieved levels of market orientation.

Corporate social responsibility: attributions,loyalty, and the mediating role of trust

This study investigates whether consumers’ perceptions of motives influence their evaluation of corporate social responsibility (CSR) efforts. The study reveals the mediating role of consumer trust in CSR evaluation frameworks; managers should monitor consumer trust, which seems to be an important subprocess regulating the effect of consumer attributions on patronage and recommendation intentions. Further, managers may allay the negative effects of profit-motivated giving by doing well on service quality perceptions. On the other hand, appropriately motivated giving continues to positively affect trust regardless of the performance of the firm on service quality provision.     

Peter Drucker on marketing: an exploration of five tenets

The authors review Peter Drucker’s contributions to marketing theory and practice. A bibliometric analysis of Drucker’s academic influence in marketing is presented. The five main tenets that are derived from the bibliometric study are expanded upon as follows: (1) The Marketing Concept: Creating Value for Customers; (2) Broadened Role of Marketing in Society: Corporate Social Responsibility, Consumerism, Social Marketing, and Lessons from Non-Profit Organizations; (3) Contributions to Marketing Strategy: The Obvious and Not So Obvious; (4) Marketing-Innovation Interface: New Product Development; (5) Future of Globalization: Rise of Non-National Enterprises.

Linking thoughts to feelings: Investigating cognitive appraisals and consumption emotions in a mixed-emotions context

While emotions have been shown to have significant influence on various consumer behaviors, the cognitive appraisals linked to consumption emotions have not been fully explored. This research investigates how individuals' cognitive interpretations of situations correspond to the emotions they experience in these contexts. Using analysis of variance and multiple discriminant analysis, our results show a systematic relationship between cognitive appraisals and 10 consumption emotions. The author's findings offer theoretical insights into these consumption emotions, the appraisal/consumption emotion correspondence, basisversus subordinate-level category differences in emotions, and mixed consumption emotions. The findings provide a practical framework for academics and practitioners interested in better understanding and managing consumption emotions. Julie A. Ruth (Ph.D., University of Michigan) is an assistant professor of marketing in the School of Business—Camden at Rutgers University. Her research interests include affect and emotions, consumer relationships, and consumer response to brand strategies such as brand alliances and sponsorships. Frédéric F. Brunel (Ph.D., University of Washington) is an assistant professor of marketing in the School of Management at Boston University. His research interests include consumer perceptions of product design and aesthetics, consumer attitude and affect, and gender and sociocultural issues in consumption. Cele C. Otnes (Ph.D., University of Tennessee) is an associate professor of business administration in the College of Commerce and Business Administration at the University of Illinois, Urbana. Her research interests include consumer rituals, affect and consumer ambivalence, and gift exchange.     

Sportsbook pricing and the behavioral biases of bettors in the NHL

The betting market for the NHL is investigated using actual betting percentages on favorites and underdogs from real sportsbooks. Sportsbooks do not appear to attempt to price to balance the book as betting percentages are not proportional to set odds. As in the NFL and NBA, bettors are shown to have a strong preference for favorites and road favorites in particular. Simple strategies of betting against significant imbalances toward the favorite are shown to generate positive returns. Although not pricing to balance the book, sportsbooks do not appear to price to exploit known bettor biases in all cases. Clear bettor behavioral biases for road favorites are not priced into the odds as the prices set in these cases appear to be a forecast of game outcomes. Pricing as a forecast may ensure long-run viability for the sportsbook as it discourages entry into this market by informed traders and still allows the sportsbook to capture its commission on losing bets over time.     

Long-term reactions to large stock price declines and increases in the European stock market: a note on market efficiency

This study tests for underreaction and overreaction in European large cap markets by examining the abnormal returns of those stocks in the EuroStoxx 50 Index following large price increases and decreases. We find that large price increases and declines tend to be followed by average market returns. Thus, our results support the efficient market theory, rather than any of the behaviour finance hypotheses. This insight is contrary to price patterns found in various national markets.     

Why and how to use vector autoregressive models for quality control: the guideline and procedures

While quality control on multivariate and serially correlated processes has attracted research attentions, a number of very detailed problems need to be overcome in order to construct practical control charts. We suggest guidelines for construction of control charts based on vector autoregressive (VAR) residuals. We discuss why VAR model is reasonable for real processes in nature, the use of VAR models to approximate multivariate serially correlated processes, residual estimation, selecting the number of variables, and selecting appropriate orders, among other issues. In addition, we illustrate an example employing VAR techniques to approximate a multivariate process previously examined and construct a control chart to monitor residuals. Last, we illustrate the potential development and use of the VAR residual chart to assist quality control and improvement.     

Posting,quoting, and replying: a comparison of methodological approaches to measure communication ties in web forums

Active involvement in discussion-based communities is nowadays a firm part of people’s online activities. The measurement of communication ties and networks between contributors to such domains is thus becoming a relevant research question in social sciences. However, especially in web forums, very often almost no direct relational information exists that would indicate the presence of communication ties among contributors. In contrast with the reply-to structure of Usenet newsgroup or mailing list conversations that contain explicit relational information created by the contributors, some web forums only enable participants to add new posts to threads or to quote preceding posts in threads. When discussions emerge, it is difficult to identify who is replying to whom. Drawing on the social network studies dealing with the conversational patterns in Usenet and web forums, this paper presents an alternative approach to identifying the ties between authors of posts. Several assumptions are discussed, and different measures are developed and empirically evaluated. The findings provide a starting point for the development of a standardized methodology for studying social networks in online communities where only limited direct information about communication ties is available.     

R-estimation of the parameters of a multiple regression model with measurement errors

We consider the theory of R-estimation of the regression parameters of a multiple regression models with measurement errors. Using the standard linear rank statistics, R-estimators are defined and their asymptotic properties are studied as robust alternatives to the least squares estimator. This paper fills the gap of the rank theory for the estimation of regression parameters with measurement error models. Some simulation results are presented to show the effectiveness of the R-estimators.