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.     

How technological innovation affects the structure of an industry: entrepreneurship evolution in the biotechnology and pharmaceutical industry since 1980

Challenges faced by the biotechnology and pharmaceutical industry, including reduced R&D productivity and the expiration of drugs that are high in demand, are recently being addressed through technological innovation. Such innovations are highly likely to change the structure and functioning of the industry. Since 2000, biotechnology and pharmaceutical companies have actively made strategic alliance, and technological innovations have changed the source of innovation from R&D to entrepreneurship within the industry. In this study, we identify the evolution of entrepreneurship and discuss the changes caused by technological advancements since 1980 by analysing patterns of exporting and acquiring technology data from Medtrack. Over difference period, biopharmaceutical firms have gained new knowledge and improved technology, and have implemented this newly acquired knowledge and innovation to introduce drugs to the market.     

Developing scenario-based technology roadmap in the big data era: an utilisation of fuzzy cognitive map and text mining techniques

ABSTRACT

Scenario-based technology roadmaps (TRM) have been used to analyse future uncertainties in the technology planning phase. However, there is a limitation in the existing related studies that the internal and external factors of the increasing uncertainty of the future are not considered. In response, this study proposes a framework that analyses the textual big data to understand the relationship between factors that may affect future uncertainty and build a TRM through scenarios based on these relationships. To do this, Fuzzy Cognitive Map technique, which analyses causal relationships between various factors in fuzzy graph form, is incorporated into TRM. To verify the effectiveness of the proposed framework, an illustrative case study was conducted using real data for an unmanned aerial vehicle. This study is expected to help integrate and utilise big data effectively in the technology planning stage.     

Servitization of Global Manufacturing Business

This study examines important but understudied issues in the servitization of global manufacturing firms. We begin with a review of the literature that suggests that global manufacturing firms can grow by integrating services into traditional products in a rapidly changing business environment. We fill a gap in the literature by considering exogenous (i.e., country-level and industry-level) and endogenous (i.e., firm-level) antecedents of servitization. We posit that home-country institutional development has a positive effect on global manufacturing firms’ servitization. We also posit that a high level of industry competition is favorably associated with servitization and that a firm’s technological capability and geographic diversification are related to servitization. To test these arguments, we made a comprehensive data set by using the Thomson Reuters database, which provides the financial information of 301 global manufacturing firms in the 2015 Forbes Global 1,000, and by using annual reports published on the websites of the firms.

     

Antecedents of Taiwan Chinese Consumers’ Purchase Intentions Toward U.S.- and Japanese-Made Household Appliances

ABSTRACT

The purpose of this article is to understand the factors influencing Taiwan's Chinese consumers’ purchase intentions toward U.S. and Japanese household appliances. The authors attempt to develop and test a comprehensive model linking such purchase intentions to several constructs including Taiwan Chinese consumers’ openness to foreign cultures, consumer nationalism, product familiarity, traditional cultural values orientation, and product-country image. The result of analysis using structural equation modeling shows that consumer nationalism has a strong indirect effect on purchase intention via the product-country image construct. Taiwan Chinese consumers’ traditional cultural values orientation and openness to foreign cultures have direct effects on consumer nationalism and, hence, are important antecedents in explaining the purchase intentions toward foreign-made goods by Taiwan Chinese consumers. With the growing importance of the Chinese domestic market, this study provides international marketing managers with practical implications in important areas such as market segmentation, branding strategy, and market research and practices in the Chinese consumer market.     

The impacts of public news announcements on intraday implied volatility dynamics

We examine the responses of intraday option-implied volatilities to scheduled announcements of macroeconomic indicators. The increase in implied volatility around macroeconomic news announcements is more pronounced for puts than for calls and is stronger for announcements made during trading hours than for those made during nontrading hours. These effects are also more pronounced in the crisis and postcrisis periods than in the precrisis period. Monetary policy announcements have a more substantial impact on volatility than other announcements have, even after controlling for news surprise components. The impact appears to be greater for policy rate hikes than for policy rate cuts.     

Organizational Work‐Family Culture and Working Mothers’ Affective Commitment: How Career Expectations Matter

The research undertaken here examines how an organizational work‐family culture affects the attitudes of working mothers. This research extends the existing findings by examining two separate mediation processes: work‐family conflict and career expectations. The cases of 1,308 working mothers were analyzed using structural equation modeling. Results show that career expectations mediated the effect of an organizational work‐family culture on affective commitment while work‐family conflict did not. As an additional analysis, working mothers’ perceptions and attitudes were compared with those of 288 peers. Results disclose that working mothers were no less committed to their organization, and were even more committed than their peers early in their careers. Working mothers’ career expectations, however, were consistently lower than their peers’ expectations. Implications of these results are included. © 2014 Wiley Periodicals, Inc.     

Utility of advertising for creativity education: an experimental study targeting school children

This study investigated whether the Advertising-In-Education (hereafter AIE) program would influence the growth of creativity in elementary school students. AIE has been discussed by advertising scholars and used in some schools in South Korea since its inception approximately 10 years ago; yet, empirical research to prove its effect on education is rare. A field experiment using a pilot AIE program was implemented with third and fourth graders at two local elementary schools for 12 weeks. To measure the degree and significance of improvement in students' creative ability and creative personality, a series of pretests and posttests were administered using creativity measuring instruments. Results indicate that the AIE program has been effective in enhancing both creative ability and creative personality of elementary school students. Based on these results, several important implications were discussed and some directions for further research were suggested.     

Monetary Policy Announcements,Communication, and Stock Market Liquidity

Using the high‐quality intraday transaction data from 2001–2012, we investigate changes in stock market liquidity in response to the monetary policy announcements of the Bank of Korea (BOK). We find that liquidity impairment associated with informed trading occurs prior to the announcements but it disappears subsequent to the global financial crisis. In addition, liquidity impairment appears to become more severe with insufficient experts' predictability and accuracy rather than with policy rate change itself and unscheduled announcements. Finally, the Federal Open Market Committee (FOMC) announcements, changes in the Volatility Index (VIX), and trading by foreign investors play a limited role in explaining stock market liquidity changes. Overall, results indicate that central bank communication plays a significant role in reducing liquidity impairment by enhancing the predictability of policy actions, and therefore, mitigating information asymmetry.     

Mobile application service networks: Apple’s App Store

In fast-moving and complex App Store, there is a need for exploring the content of mobile application services themselves. Thus, this research empirically analyzes the relationships among mobile application services to identify their structures and positions through a text-mining-based network analysis. Associations among categories and applications are visualized as macro-level category network and micro-level app network; network indexes gauge the structural properties and positional characteristics of each network. Mobile service categories are compared according to their values and grouped according to network properties using cluster analysis, offering implications for the sectoral characteristics of mobile services in App Store.