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.     

What factors of early-stage innovative projects are likely to drive projects’ success? A longitudinal analysis of Korean entrepreneurial firms

Previous studies have identified the factors affecting successful technology commercialization as outcomes of R&D projects. However, most of them have used cross-sectional data, whereas there is a dearth of literature using longitudinal data analysis. Longitudinal analysis is essential for investigating the characteristics of early-stage innovative projects due to the inherent time lag between project evaluation and commercialization. Therefore, this study examines the early-stage project characteristics that can be used as meaningful evaluation criteria for predicting success, particularly in technology commercialization. We collected data on the ex-ante evaluation results and ex-post commercialization results of R&D projects pursued by entrepreneurial firms. We then conducted a logistic regression analysis and identified three market-related factors as significant in driving technology commercialization success in the early stages of technology development: market potential, commercialization plan, and market condition.     

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.     

An empirical analysis on purposes,drivers and activities of technology opportunity discovery: the case of Korean SMEs in the manufacturing sector

Technology opportunity discovery (TOD) is becoming increasingly important for identifying technology opportunities so that they can be reflected in firms' strategy planning. However, understanding of TOD practices within firms is limited, and the diversity of TOD practices has not been fully reflected in previous studies, especially from the perspective of small and medium enterprises (SMEs), which typically lack diverse technology portfolios or plentiful innovation resources, so technology opportunities have seldom been defined and analyzed. This study aims to investigate SMEs' TOD practices and to identify their characteristics. Interviews were conducted with Korean SME executives to define a conceptual TOD model for SMEs, and 104 Korean SMEs' TOD drivers and activities were surveyed focusing business drivers, business models, and information gathering. The results were then analyzed to define six technology opportunity types and to derive similarities and differences among them, which are used to understand and further support SMEs' TOD practices. The research findings are expected to enhance understanding about TOD practices and to help establish SMEs' TOD strategies.     

Business planning based on technological capabilities: Patent analysis for technology-driven roadmapping

This research responds to the needs of technology-driven business by focusing on how firms can find new business opportunities based on their technological capabilities. It proposes a technology-driven roadmapping processes that starts from capability analysis for technology planning and ends with business opportunity analysis for market planning. We suggest the use of patent data as a proxy measure of technological capability for this purpose and develop four analysis modules — Monitoring, Collaboration, Diversification, and Benchmarking — to support decision-making during the process. Various analysis techniques such as text-mining, network analysis, citation analysis and index analysis are applied to discover meaningful implications from the patent data, which are summarized in four maps — Actor-similarity map, Actor-relations map, Technology-industry map, and Technology-affinity map. For the purpose of illustration, RFID-related patents are collected and the 18 firms with the most patents used, focusing especially on the third biggest. We believe using roadmapping and patent analysis together can play complementary roles for each other. Putting roadmapping techniques together with patent analysis can increase the objectivity and reliability of technology roadmap, while using patent analysis restricted to technological information together with roadmapping techniques can ensure that a more valuable breadth of strategic information is extracted from patents.     

Customization of technology roadmaps according to roadmapping purposes: Overall process and detailed modules

Recently, technology roadmap has received increasing interest from academics and practitioners alike, as it is a powerful and inherently flexible approach in terms of architectural structure and construction process. However, the potential benefit may not be fully exploited due to the difficulty in customizing roadmaps to fit specific needs and/or to accommodate unusual circumstances. In response, the main purpose of this research is to provide guidance for customizing roadmaps. Specifically, we adopt a modularization method for mass customization and suggest a set of different roadmaps for different purposes such as forecasting, planning, and administration. In addition, a web-based system is developed to facilitate the roadmapping activities, which in turn ensures the creation, dissemination, and upkeep of roadmaps. With the system having a customization function, a set of customized roadmaps can be generated simply by selecting the application purpose and then meeting the input requirements. The function helps prospective users design roadmap formats and contents.     

Antecedents of open innovation at the project level: empirical analysis of Korean firms

The concept of open innovation has recently gained wide academic attention, as it seems to have significant impact for company performance. Most empirical investigations about this emerging concept have been case studies of successful early adopters of open innovation, and their analyses have largely been at the company level. Although case studies at that level provide meaningful implications, the new phenomena merit a more in‐depth examination: that is, we need to collect and analyze data on multiple companies to explore more systematic findings about open innovations across companies. Moreover, analyses may need to go down to the individual project rather than the whole company level because innovation activities are often conducted as part of research and development (R&D) projects. To meet these needs, this study examines companies' open innovation efforts at the level of the individual R&D project. Specifically, the present study focuses on project‐level openness to better understand the mechanisms of open innovation. It explores systematic relationships between various antecedent factors and the degree of openness. Project‐level openness could be affected by team and task characteristics, such as team size, learning distance, strategic importance, technology and market uncertainty, and relevance to the main business. Relevant data collected from 303 companies in Korea were used to identify the antecedents that affect inbound and outbound openness. The research findings are expected to help provide a concrete theoretical framework suited for more generalized application and further practical development of open innovation strategy.     

Identifying and evaluating strategic partners for collaborative R&D: Index-based approach using patents and publications

Identifying and selecting appropriate strategic partners have been the subject of many previous studies: but most have dealt with partner selection that has relied heavily on experts' judgements: the value of a literature-based quantitative approach as a source of technology intelligence has seldom been addressed. This paper therefore aims to develop a systematic framework to guide strategic partner selection, taking a literature-based approach. Reviewing the factors that can lead to successful R&D partnerships to develop partner selection criteria, we designed 14 indexes – grouped into four major categories – to reflect desirable partner characteristics, and used the literature data to suggest a framework for prioritising potential partners. As data sources, the United States Patent and Trademark Office (USPTO) and the ISI Web of Science databases are adopted for patent analysis and publication analysis, respectively. This research applied the framework to identify strategic R&D partners for Korean firms and found that the use of literature data enabled a wide ranging search for potential partners and the quick analysis of their characteristics, with results that provided objective evidence for selection decisions. It also investigated the relative importance of literature databases and that of the four decision criteria by industry, and examined the relationships between the indexes to improve the application of the framework. The suggested framework is expected to be valuable as a complementary tool for decision-making about R&D collaboration.     

ICT Co-evolution and Korean ICT strategy—An analysis based on patent data

This paper investigates the interactive nature of relationships between Information and Communications Technologies (ICTs) in terms of their technological innovations and diffusion. For the purpose, the United States Patent and Trademarks Office (USPTO) database was used and Lotka-Volterra equations were applied to the patent data, resulting in a Patent Interaction Network (PIN). This matrix was employed to investigate the interaction patterns among ICT-related industries, allowing co-evolution process across ICTs to be analyzed. This paper also examined patenting activities in the Korean ICT sector, which has announced the IT839 strategy to address ICT-related services, infrastructures and growth drivers. It is judged that the evolving pattern of Koran ICT has been compatible with the PIN, facilitating the development of each other. It is also expected that promoting broadband and home-network technologies, together with technologies on digital contents and software solutions, can lead to the growth of the whole ICT industry. Such research findings will provide numerous implications for policy-making and strategic planning for ICT development.