Do Firms Need a Custom-Designed New Product Screening Model?

Organizations have traditionally taken a variety of approaches to screening new product ideas. The use of a formal evaluation process to support screening decisions can reduce the costs and risks associated with product development. Although making good new product choices is vital, many managers have not applied analytical screening models because these models have not been customized to reflect the particular character of their firm and industry. In a study of how managers from different types of companies screen new product proposals, Ulrike de Brentani finds that the essential criteria determining new product selection do not differ radically among firms. This indicates that managers can potentially benefit from applying an existing formal evaluation model that encompasses the critical factors generally applied when making new product evaluation decisions, even if that model has not been customized for their specific application.     

Are small investors naive about incentives?

Security analysts tend to bias stock recommendations upward, particularly if they are affiliated with the underwriter. We analyze how investors account for such distortions. Using the NYSE Trades and Quotations database, we find that large traders adjust their trading response downward. While they exert buy pressure following strong buy recommendations, they display no reaction to buy recommendations and selling pressure following hold recommendations. This “discounting” is even more pronounced when the analyst is affiliated with the underwriter. Small traders, instead, follow recommendations literally. They exert positive pressure following both buy and strong buy recommendations and zero pressure following hold recommendations. We discuss possible explanations for the differences in trading response, including information costs and investor naiveté.     

Success in Global New Product Development: Impact of Strategy and the Behavioral Environment of the Firm

Product innovation and the trend toward globalization are two important dimensions driving business today, and a firm's global new product development (NPD) strategy is a primary determinant of performance. Succeeding in this competitive and complex market arena calls for corporate resources and strategies by which firms can effectively tackle the challenges and opportunities associated with international NPD. Based on the resource‐based view (RBV) and the entrepreneurial strategic posture (ESP) literature, the present study develops and tests a model that emphasizes the resources of the firm as primary determinants of competitive advantage and, thus, of superior performance through the strategic initiatives that these enable. In the study, global NPD programs are assessed in terms of three dimensions: (1) the organizational resources or behavioral environment of the firm relevant for international NPD—specifically, the global innovation culture of the firm and senior management involvement in the global NPD effort; (2) the global NPD strategies (i.e., global presence strategy and global product harmonization strategy) chosen for expanding and exploiting opportunities in international markets; and (3) global NPD program performance in terms of shorter‐ and longer‐term outcome measures. These are modeled in antecedent terms, where the impact of the resources on performance is mediated by the NPD strategy of the firm. Based on data from 432 corporate global new product programs (North America and Europe, business‐to‐business, services and goods), a structural model testing for the hypothesized mediation effects was substantially supported. Specifically, having an organizational posture that, at once, values innovation plus globalization, as well as a senior management that is active in and supports the international NPD effort leads to strategic choices that are focused on making the firm truly global in terms of both market coverage and product offering. Further, the two strategies—global presence and global product harmonization—were found to be significant mediators of the firm's behavioral environment in terms of impact on performance of global NPD programs.     

On export rivalry and the greening of agriculture–the role of eco-labels

Why do some countries have eco-labelling programs and others do not? In this paper, we provide both theoretical arguments and empirical evidence suggesting that the answer to this question can shed new light on three questions that have taken center-stage in the trade and environment debate: (i) does trade exacerbate the exploitation of the environment; (ii) are countries competing in export markets engaged in a race to the bottom in environmental performance; and (iii) do market-based environmental instruments benefit the rich and hurt the poor?     

Optimal Designs for Asymmetric Linear Paired Comparisons with a Profile Strength Constraint

Within the linear model framework the problem of determining optimal designs for paired comparisons of alternatives which are described by a set of discrete attributes is considered under the constraint that the alternatives in a pair are only allowed to differ with regard to a certain number of attributes. Whereas in previous treatments of this problem it was assumed that all attributes possess the same number of levels, here the general asymmetric case is discussed. We provide a characterization of optimal designs and demonstrate how this can be used to derive a solution of the design problem for many situations of interest.     

Pricing in the sharing economy: a hedonic pricing model applied to Airbnb listings

ABSTRACT

This paper examines the impact of a variety of variables on the rates published for Airbnb listings in five large metropolitan areas in Canada. The researchers applied a hedonic pricing model to 15,716 Airbnb listings. As expected, the results show that physical characteristics, location, and host characteristics significantly impact price. Interestingly, more reviews are associated with a drop in price. This information is useful to hosts who are forming a pricing strategy for their listings as well as for Airbnb, who needs to support them. The paper raises important questions about pricing in the sharing economy and suggests avenues for future research in this area.     

Designing persuasive destination websites: A mental imagery processing perspective

Existing research suggests that consumers’ choices of vacations may be significantly influenced by mental imagery processing, which is considered to be high elaboration cognitive processing. This study first aimed to identify imagery-eliciting Web site features, and second to test their influence on persuasion-related outcomes such as attitude strength, confidence, and attitude resistance. A total of 252 subjects participated in a Web-based experiment to examine the influence of selected Web site features on individual imagery processing and its effect on consumers’ attitudes and expectations. The data was analyzed primarily using a structural equation modeling methodology. Structural model results revealed that the mental imagery construct strongly influenced the measured communication effects. In terms of inducing mental imagery processing, only pictures were found to make a significant difference. The findings stress the importance of researching mental imagery processing in tourism and provide practical implications for the design of persuasive destination Web sites.     

Internet use and agricultural productivity in rural Vietnam

The use of the internet is growing rapidly and has become an engine for economic development. However, few studies have examined the impact of internet use on agricultural production, and the results are not yet conclusive. Employing a dataset of more than 2000 observations in rural Vietnam, our study analyses the impact of internet use on agricultural productivity using the heteroscedasticity-based instrument approach suggested by Lewbel, Journal of Business and Economic Statistics, 2012, 30, 67–80 and examines the heterogeneity and distribution of the impact using quantile regressions. Our results show that internet use has significant and positive effects on agricultural productivity. However, these effects are heterogeneous across population groups. The positive effects of internet use are stronger for households with a lower level of education, with a young and female head, and from ethnic minorities. The benefits are also found to be skewed towards the group of farmers at the bottom of the productivity distribution. Therefore, we propose facilitating the diffusion of the internet, since it not only boosts agricultural productivity, but also reduces productivity inequality. In addition, we recommend promoting rural education, supporting local markets, investing more in irrigation systems, and facilitating farm mechanisation as these factors are found to contribute to increasing agricultural productivity.