The impact of the introduction and use of an informational website on offline customer buying behavior

Do customers increase or decrease their spending in response to the introduction of an informational website? To answer this question, this study considers the effects of the introduction and use of an informational website by a large national retailer on offline customer buying behavior. More specifically, we study a website's effects on the number of shopping trips and the amount spent per category per shopping trip. The model is calibrated through the estimation of a Poisson model (shopping trips) and a type-II tobit model (the amount spent per category per shopping trip), with effect parameters that vary across customers. For the focal retailer, an informational website creates more bad than good news; most website visitors engage in fewer shopping trips and spend less in all product categories. The authors also compare the characteristics of shoppers who exhibit negative website effects with those few shoppers who show positive effects and thus derive key implications for research and practice.     

African elephants: the effect of property rights and political stability

African elephant populations have declined by more than 50% over the past 20 years. International outrage over the slaughter led to a worldwide ban on ivory sales beginning in 1989, despite the objections of many economists and scientists, and of several southern African countries that have established systems of property rights over elephants. Far from declining, elephant populations in many of these countries have increased to levels at or above the carrying capacity of the ecosystem. This article estimates the determinants of changes in elephant populations in 35 African countries over several time periods. The authors find that, controlling for other factors, countries with property rights systems of community wildlife programs have more rapid elephant population growth rates than do those countries that do not. Political instability and the absence of representative governments significantly lower elephant growth rates.     

Smoking laws and their differential effects on restaurants, bars, and taverns

This article examines the effect of restrictive smoking laws on restaurants, bars, and taverns. Supporters of these laws often argue that they do not harm firms and may even raise profits. Opponents argue that owners cater to customer smoking preferences, and laws mandating specific policies will negatively impact profits. This article provides a framework for examining the distribution of effects that smoking laws exert on businesses, and demonstrates that changes in total sales or tax revenues do not provide a meaningful understanding of the economic implications because smoking laws exert different effects on different firms. The distribution of these effects is examined using data from a nationwide survey of 1,300 restaurant, bar, and tavern owners. While some subsets of firms are predicted to suffer revenue declines, bars are predicted to be more than twice as likely to experience losses as restaurants. An important implication is that the increasing level of governmental restrictions on smoking in the hospitality sector could gradually impact the types of service available to the public.     

Hierarchical Bayesian conjoint models incorporating measurement uncertainty

The authors explore situations where consumers supplement their judgments with a measurement of uncertainty about their own preferences, either implicitly or explicitly, and develop two sets of hierarchical Bayesian conjoint models incorporating such measurements. The first set of models uses the relative location of a rating to determine the importance or weight given to the rating, in a regression setting. The second set uses interval judgment as a dependent variable in a regression setting. After specifying the models, the authors perform a theoretical comparison with a basic Bayesian regression model. They show that, under different conditions, the proposed models will yield more precise individual-level partworth estimates. Two simulated data examples and data from a conjoint study are used to illustrate the gains that could be obtained from modeling uncertainty. In the empirical application, the authors show that model fit improves when ratings for items that respondents do not like are given more weight compared to ratings for items that they do like. Electronic Supplementary Material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.

The Lifetime Value Concept in Customer-Based Marketing

The objective of this paper is to gain insight into the use of the Lifetime Value (LTV) concept when focusing on relationships with customers.This requires a discussion of both the status quo of LTV and customer-based marketing. As a result of these discussions we conclude that proper use of LTV to support building and maintaining relationships with customers requires a further refinement of the LTV concept. We identify five aspects where current use of LTV is inappropriate for customer-based marketing. Furthermore, we define a model for computing LTV which meets the requirements stipulated by relational strategies. Based on literature study and empirical research we explore the consequences of the improved LTV model for marketing management decisions. We also describe the interaction data that should be available in the customer database.     

Transactions, volume, and volatility

We show that the positive volatility-volume relation documentedby numerous researchers actually reflects the positive relationbetween volatility and the number of transactions. Thus, itis the occurrence of transactions per se, and not their size,that generates volatility; trade size has no information beyondthat contained in the frequency of transactions. Our resultssuggest that theoretical research needs to entertain scenariosin which (i) both the frequency and size of trades are endogenouslydetermined, yet (ii) the size of trades has no information contentbeyond that contained in the number of transactions.     

To be entrepreneurial,or not to be entrepreneurial? Explaining differences in franchisee entrepreneurial behavior within a franchise system

Although franchising scholars largely acknowledge that franchisees may behave like entrepreneurs, little is known about whether and why franchisees differ in their entrepreneurial behaviors. Franchisees are semi-autonomous entrepreneurs running geographically dispersed units within established organizations. We therefore use corporate entrepreneurship (CE) literature to define and measure franchisee entrepreneurial behavior, and we build on an entrepreneurial motivation framework to develop an integrative set of hypotheses that explain differences in franchisee entrepreneurial behavior. We test these hypotheses using survey data on 119 franchisees within a single Dutch franchise system. Our results show that the extent of franchisee entrepreneurial behavior varies considerably, even within a single franchise system. The differences in franchisees’ entrepreneurial behaviors can be explained by differences in franchisees’ intrinsic goals, relational satisfaction and local competition.     

When Is Open Innovation Beneficial? The Role of Strategic Orientation

Various scholars have accomplished a great deal to better understand open innovation effectiveness. Case studies have detailed its performance effects, while other studies showed the effectiveness of an aspect of open innovation, such as collaboration with third parties, external technology commercialization, and cocreation. Though most studies report a positive relation between open innovation and innovation performance, some studies indicate possible negative effects. This has resulted in a call for research on what kind of organizational context suits open innovation best. This study therefore addresses two questions: (1) does performing open innovation activities lead to increased innovation performance, and to which aspects of innovation performance is open innovation most strongly related? (2) what is the moderating impact of various kinds of strategic orientation on the relation between open innovation and innovation performance? In this study, we investigate three types of strategic orientations: entrepreneurial orientation, market orientation, and resource orientation. In a survey among 223 Asian service firms, we first develop and test a comprehensive measurement scale for open innovation that captures the entire range of open innovation activities, including outside‐in activities, inside‐out activities, and coupled activities. The final scale comprises of 10 items and indicates to what extent a firm has implemented open innovation activities. Next, we study the relation between open innovation and innovation performance. The results indicate that performing open innovation activities is significantly and positively related to all four dimensions of innovation performance: new product/service innovativeness, new product/service success, customer performance, and financial performance. The impact of open innovation is not limited to a particular aspect of innovation performance; it positively affects a broad range of innovation performance indicators. Though open innovation is positively related to all four dimensions of innovation performance, the effect sizes are not equal. The impact on new service innovativeness and financial performance is relatively stronger. Regarding the influence of a firm's strategic orientation, we find that all significant moderation effects are positive. This suggests that, in general, having a more explicit strategic orientation enhances the effectiveness of open innovation. When comparing the three strategic orientations, entrepreneurial orientation strengthens the positive performance effects of open innovation significantly more than market orientation and resource orientation do. In turn, market orientation has a significantly stronger moderation effect than resource orientation. These findings provide empirical evidence of the context dependency of open innovation. Especially an entrepreneurial orientation, which is associated with proactive and entrepreneurial processes, seems to create a fertile setting for open innovation.