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.     

Monitoring trends of technological changes based on the dynamic patent lattice: A modified formal concept analysis approach

The strategic importance of monitoring technological changes is highlighted given the ever faster pace and increasing complexity of technological innovation. In this respect, patent citation analysis has been the most frequently adopted tool among others. However, patent citation analysis is subject to certain drawbacks that stem from only consideration of citing-cited information and time lags between citing and cited patents. This study proposes a formal concept analysis (FCA)-based approach to developing a dynamic patent lattice that can analyze complex relations among patents and monitor trends of technological changes. The FCA is a mathematical tool for grouping objects with shared properties based on the lattice theory. The distinct strengths of FCA, vis-á-vis other methods, lie in structuring and displaying the relations among objects from a massive amount of data. For the purpose of technology monitoring, the FCA is modified to take into account time periods and changes of patent keywords. A patent context is first constructed with the aid of domain experts and text mining technique. Two types of dynamic patent lattices are then developed by executing the modified FCA algorithm. A case study of laser technology in lithography for semiconductor manufacturing shows that the suggested dynamic patent lattice has considerable advantages over conventional patent citation maps in terms of visualization and informative power.     

The customisation framework for roadmapping product-service integration

Product-service integration is becoming a dominant contemporary trend, motivated by how technology can shape areas of potential product/service interactivity and triggers interactions. Since the role of technology differs from case to case, the strategic planning of product-service integration should focus on accommodating the real-life business situation. In response, this paper suggests a customisation framework for product-service roadmapping according to the technological interface involved, and provides practical guidance in its implementation. This framework consists of five steps in three main stages. The first deals with the structural determination of roadmapping, planning ??what to plan??, determining the role of technology and the roadmapping format. The second phase plans the functional determination, dealing the issue of ??how to plan??, including deciding on the relevant roadmapping procedures and methodology. Finally, the roadmap for product-service integration is developed. To illustrate the workings of proposed approach, six case examples are provided for different modes of integration, providing a practical illustration for product-service integration.     

FMEA-based portfolio approach to service productivity improvement

The conceptual approach has contributed significantly to service productivity, but it should be complemented by practical deliverable methods. This paper proposes a systematic framework for improving service productivity by employing the failure mode and effect analysis-based portfolio approach. By structuring and decomposing a service into a set of sub-processes, failure and innovation modes are identified and evaluated using different constituents, such as the severity and occurrence of failure mode, and the impacts and feasibilities of innovation modes. Innovation and failure portfolios are constructed, clarifying the values of opportunities. To illustrate the function of the proposed approach, hospital service is used as an example.     

Underwriter syndication and corporate governance

The main purpose of this paper is to examine underwriters’ response to issuers’ ineffective corporate governance. Given the growing importance of corporate governance for the success of equity offerings, we examine this response using a sample of seasoned equity offerings (SEOs). Previous studies suggest various rationales behind underwriter syndication, such as risk sharing, market-making, information production, certification, and monitoring. We offer an information-asymmetry-reduction hypothesis for the persistence of underwriter syndication. We argue that less effective corporate governance decreases information credibility, which, in turn, increases information asymmetry, leading underwriters to increase syndicate size to mitigate subsequent agency problems. Consistent with this prediction, we find that the size of the underwriter syndication is inversely related to proxies that measure the effectiveness of corporate governance. Results remain robust even after controlling for other confounding factors.     

Does the cessation of quarterly earnings guidance reduce investors’ short-termism?

The practice of providing quarterly earnings guidance has been criticized for encouraging investors to fixate on short-term earnings and encouraging managerial myopia. Using data from the post–Regulation Fair Disclosure period, we examine whether the cessation of quarterly earnings guidance reduces short-termism among investors. We show that, after guidance cessation, investors in firms that stop quarterly guidance are composed of a larger (smaller) proportion of long-term (short-term) institutions, put more (less) weight on long-term (short-term) earnings in firm valuation, become more (less) sensitive to analysts’ long-term (short-term) earning forecast revisions, and are less likely to dismiss chief executive officers for missing quarterly earnings targets by small amounts, relative to investors in firms that continue to issue quarterly earnings guidance. Our study provides new evidence of the benefit of stopping quarterly earnings guidance, that is, the reduction of short-termism among investors.     

The changing pattern of industrial technology linkage structure of Korea: Did the ICT industry play a role in the 1980s and 1990s?

The notion of the knowledge-based economy highlights the strategic importance of inter-industrial knowledge flows. Among others, the crucial role of information and communications technology (ICT) industry is emphasized. The pattern whereby technological knowledge is created, accumulated and disseminated through the interactive learning among industries can be portrayed as a network. Based on the network theory, this empirical study analyses, from the dynamic perspective, inter-industrial technological knowledge structure of Korean industries during the reference period of early 1980s to mid-1990s. Overall, the density of the network increased over time, implying that the knowledge network has expanded and intensified. The role of the ICT industry in the global network has also increased but needs to be further strengthened, especially informatization of non-ICT industries by the outflow of ICT industrial knowledge in the future. The findings in turn render some important policy implications that should be addressed in developing technology policy.     

The impact of surprise offer-share adjustments on offer-day returns: evidence from seasoned equity offers

Using a sample of seasoned equity offerings (SEOs), we examine the eleventh-hour information carried by the final offer-share adjustment. We argue that if market participants interpret the final offer-share adjustment as a new information signal regarding the demand for the stocks issued, a greater final offer-share adjustment will affect the offer-day return positively (demand information hypothesis). Alternatively, if investors interpret the final offer-share adjustment as increasing the supply of stocks issued and/or as diluting the value of existing shares, a greater final offer-share adjustment will affect the offer-day returns negatively (price-pressure and dilution hypothesis). We provide empirical evidence that the offer-day returns are positively related to the final offer-share adjustment after controlling for confounding factors, supporting the demand information hypothesis. Our results also remain intact even after controlling for the endogeneity. Overall, our findings suggest that the final offer-share adjustment is another important determinant of offer-day returns, in addition to the final offer-price adjustment that Altinkiliç and Hansen [J Financ Econ 69(2):285–323 (2003)] report.     

An approach to discovering new technology opportunities: Keyword-based patent map approach

This paper proposes an approach for creating and utilizing keyword-based patent maps for use in new technology creation activity. The proposed approach comprises the following sub-modules. First, text mining is used to transform patent documents into structured data to identify keyword vectors. Second, principal component analysis is employed to reduce the numbers of keyword vectors to make suitable for use on a two-dimensional map. Third, patent ‘vacancies’, defined as blank areas in the map that are sparse in patent density but large in size, are identified. The validity of the vacancy is then tested against such criteria as technological criticality and technological trends. If a vacancy is judged as meaningful, its technological features are investigated in detail to identify the potential for new technology creation. The procedure of the proposed approach is described in detail by employing an illustrative patent database and is implemented into an expert system for new technology creation.     

Underwriter choice and earnings management: evidence from seasoned equity offerings

Using a sample of seasoned equity offerings (SEOs), this paper examines the association between the choice of financial intermediary and earnings management. We contend that with more stringent standards for certification and intense monitoring, highly prestigious underwriters restrict firms’ incentives for earnings management to protect their reputation and to avoid potential litigation risks, while firms with greater incentives for earnings management avoid strict monitoring by choosing low-quality underwriters. Consistent with our predictions, we find an inverse association between underwriter quality and issuers’ earnings management. In addition, we find that underwriter quality is positively related to SEOs’ post-issue performance, even after controlling for the effect of earnings management. We also find that firms with low-underwriter prestige and high levels of earnings management under-perform the most. However, the effect of underwriter choice on post-issue performance does not last long.