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. 相似文献
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. 相似文献
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.
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. 相似文献
ABSTRACTScenario-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. 相似文献
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. 相似文献
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. 相似文献
Technology roadmapping of today’s era is necessarily based on comprehensive scanning of various signals with the disruptive potential in future paths of market, product, and technology. Previous attempts of data-driven technology roadmaps have mainly focused on data from such sources as patents and literatures. However, as these sources catalogue posteriori trends of evolution, roadmaps based on these data cannot be counted on to predict disruptions. In this regard, futuristic data in technology foresight websites may provide a better source. The objective of this research, in response, is to develop a support system for technology roadmapping that uses futuristic data. To this end, we suggest keyword-based visual scanning approach involving three keyword maps, used in succession: keyword cluster map, keyword intensity map, and keyword relationship map. Particularly, keyword intensity map is designed using weak signal theory which can help identify the visibility, diffusion, and interpretation of signals. 相似文献
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. 相似文献