Economics at the FTC: Deceptive Claims,Market Definition,and Patent Assertion Entities

In 2015, the Federal Communications Commission (FCC) imposed common carriage regulation—so-called Title II requirements—on previously unregulated broadband Internet service providers. The regime shift was premised on the FCC’s findings that such rules had demonstrably yielded economic gains. This paper evaluates the FCC’s empirical arguments and finds them uncompelling. Adjustments for inflation or general economic trends eliminate the effects cited by the FCC. Moreover, contrary to the Commission’s assessment, mobile services and broadband markets have shown notable growth in response to deregulatory events that reduce Title II requirements.     

Early on-line detection of exothermic reactions

On-line supervision exhibits in many respects properties complementary to those of established off-line safety tests. Thus, on-line methods are powerful tools for increasing the safety of chemical processes, especially in situations where unexpected hazards could occur. Known on-line supervising methods are described and their advantage and disadvantages are briefly discussed. The abilities of various on-line methods are demonstrated on a real case.     

Regulatory Focus Intensity and Evaluations of Retail Experiences

Previous research indicates that consumers differ in their evaluation of and response to similar retail experiences. Reporting results from three studies, the current research proposes consumers’ regulatory focus intensity as one possible source of this variation. Study 1 examines how consumers’ regulatory focus intensity influences their in‐store behavioral intentions following good and bad shopping experiences. Study 2 illustrates how consumers’ regulatory focus intensity impacts their future loyalty intentions after satisfactory retail experiences. In Study 3, the researchers explore how retailers can employ regulatory framing in their communication messages to increase the future loyalty intentions of those chronically less loyal consumers. Lastly, theoretical and managerial implications as well as limitations of this research are discussed.     

Predicting Corporate Bankruptcy: An Evaluation of Alternative Statistical Frameworks

Corporate bankruptcy prediction has attracted significant research attention from business academics, regulators and financial economists over the past five decades. However, much of this literature has relied on quite simplistic classifiers such as logistic regression and linear discriminant analysis (LDA). Based on a large sample of US corporate bankruptcies, we examine the predictive performance of 16 classifiers, ranging from the most restrictive classifiers (such as logit, probit and linear discriminant analysis) to more advanced techniques such as neural networks, support vector machines (SVMs) and “new age” statistical learning models including generalised boosting, AdaBoost and random forests. Consistent with the findings of Jones et al. ( 2015 ), we show that quite simple classifiers such as logit and LDA perform reasonably well in bankruptcy prediction. However, we recommend the use of “new age” classifiers in corporate bankruptcy modelling because: (1) they predict significantly better than all other classifiers on both the cross‐sectional and longitudinal test samples; (2) the models may have considerable practical appeal because they are relatively easy to estimate and implement (for instance, they require minimal researcher intervention for data preparation, variable selection and model architecture specification); and (3) while the underlying model structures can be very complex, we demonstrate that “new age” classifiers have a reasonably good level of interpretability through such metrics as relative variable importances (RVIs).     

The fundraiser's journey: A developmentally informed,grounded theory analysis

Fundraisers play a vital role in the success of nonprofit organizations, yet relatively little is known about the experiences, motivations, and thought processes that inform their career choice and development. This exploratory, cross-comparative case study of 3 fundraisers addresses this gap in the literature by examining some formative influences on fundraisers' careers, their professional growth aspirations and opportunities, and how, if at all, they engage in personal philanthropy. Results suggest that fundraisers' aptitudes, skills, and abilities may influence their career choice more than a sense of connection to the nonprofit sector or organizational mission. Further, fundraisers seek opportunities to exercise leadership at the individual, organizational, and community levels. Additionally, their personal philanthropy and social embeddedness play integral roles in their professional development. Although not large enough for generalization, these results suggest the need to study fundraisers holistically, including their psychological development and social embeddedness over time. We argue for the need to move beyond traditional marketing and public relations perspectives to explain fundraising. Instead, future studies should adopt a service-dominant logic framing that considers fundraisers as part of a larger philanthropic ecosystem. We conclude with several questions to guide future studies toward this line of inquiry.     

A model of serious leisure identification: the case of football fandom

Stebbins (1992) has suggested that the ‘profit hypothesis’, whereby the perceived benefits of taking part in an activity exceed the perceived costs, can be used to explain continued engagement in serious leisure activities. This argument, however, fails to explain the continued participation in such activities where the costs to the individual seem to exceed the rewards. This paper adopts a social identity perspective to identify and demonstrate the role of four compensatory behaviours – in-group favouritism, out-group derogation, unrealistic optimism, and voice – in ensuring continued participation in serious leisure. Such behaviours are described in the context of one particular serious leisure activity – that of football fandom – to explain why engagement in such an apparently unrewarding activity is maintained. A model of serious leisure participation is presented based upon these behaviours     

A two-stage technology foresight model with system dynamics simulation and its application in the Chinese ICT industry

Technology foresight is a process that identifies the critical technologies a country or industry needs to develop in order to shape a desired future. In this paper, a two-stage technology foresight approach is proposed. During the first stage, critical technologies are identified and evaluated by nationwide experts through Delphi surveys. In the second stage, a system dynamics simulation model is used to estimate how critical parameter values are likely to impact the attainment of foresight goals. A detailed illustration of this two-stage process is provided by a technology foresight case study in the Chinese information and communication technologies (ICT) industry. Because it was identified by the first-stage Delphi method as a critical technology, the diffusion of 4th generation wireless telecommunication technology (4G) was simulated, and experimentation was conducted. Suggestions are provided regarding how the Chinese information industry would need to expand the IP network infrastructure in order to support technology foresight goals under different scenarios.