Leveraging ideas from user innovation communities: using text‐mining and case‐based reasoning

User innovation communities, where end users voluntarily share their ideas about new products or services, have become an important source of innovation. While efforts have been made to extract and develop ideas from these sources, existing studies have largely focused on company‐led efforts to facilitate user participation, rather than on voluntary user discussions within communities themselves. As a remedy, this research proposes to directly target those voluntary ideas from user innovation communities for product/service innovation. Because quantities of textual information within these communities are rather massive, we propose a modified and integrated approach of text‐mining (TM) and case‐based reasoning (CBR). Specifically, by constructing two casebases on ideas and existing products using TM and checking for overlap between the two using CBR, the approach enables the identification of opportunities for innovation and reference products for adaptation. We demonstrate the approach through a case of mobile apps in Apple App Store, and our findings suggest that the approach can help firms and users/developers broaden the source of ideas and leverage them into new product concepts.     

The Political Economy of Confucian Harmony: A Xunzian Vision

A global market economy of pure instrumental rationality now poses a growing threat, jeopardizing common citizenship, the capacity for human flourishing, and harmony between humans and nature. Growing skepticism about the sustainability of market capitalism and its moral legitimacy propels us to search for a new economic model in which humans are no longer held hostage to the unbridled pursuit of self‐interest and limitless possession at the expense of the well‐being of others and nature and that attempts to overcome the old conflict between capitalism and socialism. We can call this alternative model “moral economy,” an economic system that reconciles private interests with the public good broadly construed. In this article I reconstruct the Confucian ideal of moral economy by paying close attention to Xunzi's ethical and political thought. Xunzi, one of the key classical Confucians, stipulates the threshold of sufficiency by extending the ruler's care to the most destitute of society as well as giving moral priority to their basic needs without dismissing the foundational importance of individual merit and contribution. Rejecting both pure economic meritocracy and dogmatic egalitarianism, Xunzian Confucianism aims to create a political economy of harmony where various distributive values (need, equality, and merit, among other things) each have their own place.     

Canadian consumer acceptance of gene-edited versus genetically modified potatoes: A choice experiment approach

In 2016, second-generation genetically modified (GM) potatoes were approved for production and sale in Canada. In this study, we analyze how consumer acceptance of GM potatoes may be affected by various factors, including the trait introduced (i.e., the product benefits), the type of breeding technology used, and the developer of the potato using any technology. We conduct an online survey and use a stated choice experiment to collect data on consumer acceptance of GM and other potatoes in Canada. Random utility models are used to analyze the economic value consumers place on the various attributes of the potatoes. Our results show that consumers are willing to pay more for a health attribute (reduced acrylamide produced when potatoes are fried) and an environmental attribute. Respondents in general need to face discounted prices to buy potatoes created by either gene editing or GM (either transgenic or cisgenic/intragenic) technologies. However, consumers are in general more accepting of the gene editing technology than the GM technologies. Our results also show that government is the most preferred developer of the potatoes, regardless of technology. Results from this study can help guide public and private management of the introduction of new foods when the products are developed with unpopular technologies.     

‘How do you feel about a disease?’ The effect of psychological distance towards a disease on health communication

Based on construal level theory, this research addresses the moderating role of an individual's psychological distance towards a disease in the effectiveness of advertising messages framed by two distinctive construal level terms (high-level and low-level). In Experiment 1, two different disease types (bronchitis/distant disease vs. influenza/proximal disease) were featured, with the result that an advertisement with high-level construal terms was more persuasive for a psychologically distant disease (bronchitis) than for a psychologically proximal disease (flu). The reverse was true for an ad framed with low-level construal terms. To replicate Experiment 1 and further test the hypothesis, in Experiment 2, the perceived distance individuals have towards one disease (cancer) was measured and used as independent variable. Consistent with the results from Experiment 1, the low-level construal messages were more effective under the psychologically close condition than the psychologically distant condition. Reverse was true for the high-level construal messages.     

Can Pokémon GO catch brands? The fit effect of game characters and brands on efficacy of brand communications

Given the recent popularity of augmented reality (AR) games, such as Pokémon GO, this study explores the congruence effect of game characters and brands on brand evaluations and the underlying mechanisms of the effect. Prior gaming experience and motivations are taken into account. An experiment reveals that inexperienced gamers are likely to have more favorable evaluations of the target brands when the images of game characters match the brand images, whereas these effects disappear for experienced gamers. Furthermore, the research demonstrates that experienced gamers are more likely to hold game-specific motivations than the inexperienced, while inexperienced gamers are motivated more by social interaction for playing AR games. Lastly, a mediation analysis reveals that social interaction-related motivation mediates inexperienced gamers’ preference of character–brand congruence. This study sheds light upon how AR games can be utilized by brand communicators.     

Consumer engagement behaviors in the online wildlife trade: Implications for conservationists

This study investigates consumer engagement behaviors in the online wildlife trade, drawing implications for conservationists. The first study undertook a quantitative content analysis of 500 Facebook posts in wildlife trade lateral exchange markets to show how creative strategies, media type and persuasion tactics influence the number of likes and comments that posts receive. The second study then undertook a thematic discourse analysis to develop a rich understanding of the culture, beliefs and motivations that influence how consumers engage in the markets. Findings showed that an overwhelming majority of posts use a functional or informational strategy and that when posts use overt persuasion tactics the number of comments decrease. A conceptual model of how cultural factors may impact the success of marketing strategies is then proposed. These findings have implications for conservationists who seek to build engagement with wildlife trade consumers online.     

Foreign versus domestic institutional investors in emerging markets: Who contributes more to firm-specific information flow?

Using a large sample of firms listed on the Korea Stock Exchange over 1998–2007, this study investigates whether and how trading by foreign and domestic institu...     

Anchored putter ban: An examination of whether anchored putting impacts career success and putting performance

The Professional Golfers' Association (PGA) Tour ban on anchored putting (Rule 14‐1b) took effect on January 1, 2016. The ban remains controversial because the governance decision appears to have been made without adequate empirical evidence. Accordingly, to investigate the efficacy of the ban, the impact of using anchored putters on PGA golfers' career success and putting performance was examined. PGA golfers ranked in the top 125 were studied from 2009 to 2015. The analysis revealed an anchored putter offered no unfair advantage with regard to improving players' career success or putting performance when compared with standard putter usage by PGA golfers.     

Financing Technological Innovation: Evidence from Patent-Intensive Firms

ABSTRACT

Equityholders of firms with high debt loads have an incentive to underinvest, a distortion that can be most costly for firms with attractive growth options. Using a novel patent-based measure of a firm's growth options, we find that firms issue more equity and shy away from debt financing when they have larger investment opportunities sets. The results are more pronounced among firms in patent-intensive industries. The findings suggest the existence of conflicts of interest between debtholders and equityholders. Our results are consistent with the use of conservative debt policies by technology-intensive firms to mitigate the debt overhang associated with their future growth options.     

Varying Coefficient Regression Models: A Review and New Developments

Varying coefficient regression models are known to be very useful tools for analysing the relation between a response and a group of covariates. Their structure and interpretability are similar to those for the traditional linear regression model, but they are more flexible because of the infinite dimensionality of the corresponding parameter spaces. The aims of this paper are to give an overview on the existing methodological and theoretical developments for varying coefficient models and to discuss their extensions with some new developments. The new developments enable us to use different amount of smoothing for estimating different component functions in the models. They are for a flexible form of varying coefficient models that requires smoothing across different covariates' spaces and are based on the smooth backfitting technique that is admitted as a powerful technique for fitting structural regression models and is also known to free us from the curse of dimensionality.