Juneseuk Shin

Robust future-oriented technology portfolios: Black–Litterman approach

We propose a new way of constructing more robust technology portfolios to overcome the weaknesses of previous technology portfolios based either on the judgments of experts or on quantitative data such as patents. Instead of using historical data, the method of nonlinear forecasting enables us to forecast the future number of patent citations and accordingly, to use the forecast as a quantitative proxy for future returns and risks of technologies. Using the Black–Litterman portfolio model, we improve the accuracy of inputs by combining the future views of experts with the future returns and risks of technologies. As a consequence of this, the portfolio becomes strongly future-oriented. With our approach, corporate managers use both experts and data more effectively to build robust technology portfolios. In particular, our method is of great help for companies launching new businesses because the method avoids heavy dependency on internal experts with little knowledge about emerging technologies. A company entering the molecular amplification instrument market is exemplified herein.

Measuring journal performance for multidisciplinary research: An efficiency perspective

One of the flaws of the journal impact factor (IF) is that it cannot be used to compare journals from different fields or multidisciplinary journals because the IF differs significantly across research fields. This study proposes a new measure of journal performance that captures field-different citation characteristics. We view journal performance from the perspective of the efficiency of a journals citation generation process. Together with the conventional variables used in calculating the IF, the number of articles as an input and the number of total citations as an output, we additionally consider the two field-different factors, citation density and citation dynamics, as inputs. We also separately capture the contribution of external citations and self-citations and incorporate their relative importance in measuring journal performance. To accommodate multiple inputs and outputs whose relationships are unknown, this study employs data envelopment analysis (DEA), a multi-factor productivity model for measuring the relative efficiency of decision-making units without any assumption of a production function. The resulting efficiency score, called DEA-IF, can then be used for the comparative evaluation of multidisciplinary journals’ performance. A case study example of industrial engineering journals is provided to illustrate how to measure DEA-IF and its usefulness.

New business model creation through the triple helix of young entrepreneurs, SNSs, and smart devices

This paper clarifies the causal paths from complex dynamic interactions among young entrepreneurs, social networking sites (SNSs), and smart devices to new SNS-based business model (BM) creation. The empirical data are collected through interviews with 102 CEOs in Korean SNS-related venture companies. Using these data, we employ the triple helix model and business model concepts to analyse how the triple helix interactions influence BM innovation. Four types of new SNS-based BMs are identified and described. Our study finds that entrepreneurs should focus their attention on combining SNS resources with smart device characteristics, helping them create value in a profitable way. Also, our study provides policymakers and venture capitalists with a holistic view of BM innovation and enables them to make better decisions on investment and policy design.

Technology opportunity identification customized to the technological capability of SMEs through two-stage patent analysis

Small and medium enterprises (SMEs) have difficulties identifying appropriate technology opportunities under severe capability and resource constraints. To tackle this issue, we suggest a method for identifying technology opportunities that is customized to the existing technologies and technological capabilities of SMEs through two-stage patent analysis. An expert-based technological attribute–application table makes it possible to identify basic opportunities by multiple keyword matching. Also, non-traditional opportunities can be explored and identified by an iterative action–object analysis of patents. This two-stage patent analysis approach provides managers with a way of identifying specific technology opportunities in which their existing technologies can be utilized to the maximum extent, therefore helping them to develop technology strategies.

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.

Risk-adjusted performance forecasting of future key technology

A new way of identifying future key technologies based on a risk-adjusted technology performance measure is suggested for policymakers. Current key technologies are identified by patent citation network analysis. Employing growth curve fitting, we forecast the future growth path of these technologies, and evaluate their risk-adjusted future performance. Overcoming the weaknesses of return-only and current-focused key technology identification, our method can better inform policymakers and experts about both the return and risk of future key technologies, helping them to make better decisions.

Automatic detection method of hepatocellular carcinomas using the non-rigid registration method of multi-phase liver CT images.

BACKGROUND Multi-phase CT images are obtained sequentially after the injection of contrast agents so that there is a large amount of local deformation between images due to the respiratory and heart motion. Therefore, a non-rigid registration technique is required in order to establish the anatomical correspondence between the multi-phase CT images for liver CAD (computer-aided diagnosis). OBJECTIVE In this paper, we propose the automatic detection method of hepatocellular carcinomas using the non-rigid registration method of multi-phase CT images. METHODS Global movements between multi-phase CT images are aligned by rigid registration based on normalized mutual information. Local deformations between multi-phase CT images are modeled by non-rigid registration based on B-spline deformable model. After the registration of multi-phase CT images, hepatocellular carcinomas are automatically detected by analyzing the original and subtraction information of the registered multi-phase CT images. RESULTS We applied our method to twenty five multi-phase CT datasets. Experimental results showed that the multi-phase CT images were accurately aligned. All of the hepatocellular carcinomas including small size ones in our 25 subjects were accurately detected using our method. CONCLUSION We conclude that our method is useful for detecting hepatocellular carcinomas.

An enhanced method for registration of dental surfaces partially scanned by a 3D dental laser scanning

In this paper, we propose the fast and accurate registration method of partially scanned dental surfaces in a 3D dental laser scanning. To overcome the multiple point correspondence problems of conventional surface registration methods, we propose the novel depth map-based registration method to register 3D surface models. First, we convert a partially scanned 3D dental surface into a 2D image by generating the 2D depth map image of the surface model by applying a 3D rigid transformation into this model. Then, the image-based registration method using 2D depth map images accurately estimates the initial transformation between two consequently acquired surface models. To further increase the computational efficiency, we decompose the 3D rigid transformation into out-of-plane (i.e. x-, y-rotation, and z-translation) and in-plane (i.e. x-, y-translation, and z-rotation) transformations. For the in-plane transformation, we accelerate the transformation process by transforming the 2D depth map image instead of transforming the 3D surface model. For the more accurate registration of 3D surface models, we enhance iterative closest point (ICP) method for the subsequent fine registration. Our initial depth map-based registration well aligns each surface model. Therefore, our subsequent ICP method can accurately register two surface models since it is highly probable that the closest point pairs are the exact corresponding point pairs. The experimental results demonstrated that our method accurately registered partially scanned dental surfaces. Regarding the computational performance, our method delivered about 1.5 times faster registration than the conventional method. Our method can be successfully applied to the accurate reconstruction of 3D dental objects for orthodontic and prosthodontic treatment.

The relationship between inbound open innovation patents and financial performance: evidence from global information technology companies

Most existing studies on the global information technology (IT) sector examine the causal relationship between internally generated patents and corporate performance. However, global IT companies acquire patents not only from internal research and development (R&D), but also from inbound open innovation. Focusing on this, we examine the differential effects of patents from various sources, including (1) internal R&D, (2) university–industry collaboration, and (3) transaction on corporate sales, profits, and market value in 28 global IT companies. We find that patents by internal R&D boost sales, profits, and corporate value. Purchased patents have small, immediate positive effects on market value and profit, but do not increase sales. University–industry collaboration patents drive sales after more than two years, but negatively impact market value. Overall, internal R&D is consistently important for sustainable corporate growth, implying that the acquisition of ideas, technologies, and human resources for internal R&D is the most effective method of inbound open innovation. Purchased patents boost short-term growth, while university–industry collaboration is necessary for mid- and long-term growth. Our study provides the basis for an optimal balance between internal R&D and inbound open innovation, as well as the creation of a financial performance-oriented patent portfolio.

High-quality slab-based intermixing method for fusion rendering of multiple medical objects

The visualization of multiple 3D objects has been increasingly required for recent applications in medical fields. Due to the heterogeneity in data representation or data configuration, it is difficult to efficiently render multiple medical objects in high quality. In this paper, we present a novel intermixing scheme for fusion rendering of multiple medical objects while preserving the real-time performance. First, we present an in-slab visibility interpolation method for the representation of subdivided slabs. Second, we introduce virtual zSlab, which extends an infinitely thin boundary (such as polygonal objects) into a slab with a finite thickness. Finally, based on virtual zSlab and in-slab visibility interpolation, we propose a slab-based visibility intermixing method with the newly proposed rendering pipeline. Experimental results demonstrate that the proposed method delivers more effective multiple-object renderings in terms of rendering quality, compared to conventional approaches. And proposed intermixing scheme provides high-quality intermixing results for the visualization of intersecting and overlapping surfaces by resolving aliasing and z-fighting problems. Moreover, two case studies are presented that apply the proposed method to the real clinical applications. These case studies manifest that the proposed method has the outstanding advantages of the rendering independency and reusability.