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Patent contains vast information on developed technologies because of the patent system. So, it is important to analyze patent data for understanding technologies. Most previous studies on patent analysis were focused on the technology itself. Their research results lacked the consideration of products. But the patent analysis based on products is crucial for company because a company grows by sales of competitive products. The purpose of this paper is to propose a novel methodology of patent analysis for product-based technology. This study contributes to the product development strategy of a company.

The primary goal for developing technology is to release a new product. So it is important to analyze the technology based on the product. In this study, the authors analyze Apple’s technologies based in iPod, iPhone, and iPad. In addition, the authors propose a new methodology to analyze product-based technology. The authors call this an integrated social network mining (ISNM). In the ISNM, the authors carry out a social network analysis (SNA) according to each product of Apple, and integrate all SNA results of iPod, iPhone, and iPad using the technological keywords.

In this case study, the authors analyze Apple’s technologies according to Apple’s innovative products, such as the iPod, iPhone, and iPad. From the ISNM results of Apple’s technology, the authors can find which technological detail is more important in overall structure of Apple’s technologies.

This study contributes to the management of technology including new product development, technological innovation, and research and development planning. To know the technological relationship between whole technologies based on products can be the source of intensification of technological competitiveness.

Most of studies on technology analysis were focused on patent technology itself. Though one of their research goals was to develop new product, they had their limits considering the products because they did not use the technology information in the technology analysis. The originality of this research is to use the product information in technology analysis using the proposed ISNM.

The purpose of this paper is to propose an objective method for technology forecasting (TF). For the construction of the proposed model, the paper aims to consider new approaches to patent mapping and clustering. In addition, the paper aims to introduce a matrix map and K‐medoids clustering based on support vector clustering (KM‐SVC) for vacant TF.

TF is an important research and development (R&D) policy issue for both companies and government. Vacant TF is one of the key technological planning methods for improving the competitive power of firms and governments. In general, a forecasting process is facilitated subjectively based on the researcher's knowledge, resulting in unstable TF performance. In this paper, the authors forecast the vacant technology areas in a given technology field by analyzing patent documents and employing the proposed matrix map and KM‐SVC to forecast vacant technology areas in the management of technology (MOT).

The paper examines the vacant technology areas for MOT patent documents from the USA, Europe, and China by comparing these countries in terms of technology trends in MOT and identifying the vacant technology areas by country. The matrix map provides broad vacant technology areas, whereas KM‐SVC provides more specific vacant technology areas. Thus, the paper identifies the vacant technology areas of a given technology field by using the results for both the matrix map and KM‐SVC.

The authors use patent documents as objective data to develop a model for vacant TF. The paper attempts to objectively forecast the vacant technology areas in a given technology field. To verify the performance of the matrix map and KM‐SVC, the authors conduct an experiment using patent documents related to MOT (the given technology field in this paper). The results suggest that the proposed forecasting model can be applied to diverse technology fields, including R&D management, technology marketing, and intellectual property management.

Most TF models are based on qualitative and subjective methods such as Delphi. That is, there are few objective models. In this regard, this paper proposes a quantitative and objective TF model that employs patent documents as objective data and a matrix map and KM‐SVC as quantitative methods.

This paper is mainly concerned with the digital manufacturing technologies in the context of the shipbuilding industry. New concepts such as digital shipbuilding, virtual shipyard, and simulation‐based design (SBD) will be explored. After reviewing the digital shipbuilding, a case study will be presented using the virtual assembly simulation system for shipbuilding (VASSS), a simulation based tool, to evaluate block erection sequence taking account of shipyard facilities, operational efficiency and equipment replacement time.

This study aims to investigate the effects of servicescape on customer satisfaction and loyalty – centered on social interaction and service experience in the café setting.

Data for this study were collected from approximately 1,800 customers at 185 coffee stores located in the three largest cities in Vietnam through the self-administered questionnaires.

The research findings pointed out the significant impacts of café servicescape on social interaction quality, including customer-to-employee interaction (CEI) and customer-to-customer interaction (CCI). Social interactions and servicescape were shown to remarkably influence customer experience quality, customer satisfaction and loyalty. Moreover, the study confirmed the interrelation between service experience, satisfaction and loyalty in the café setting.

This study provides marketers and service managers a deeper understanding of improving customer satisfaction and loyalty through the control of servicescape attributes and social interactions in café contexts.

This research explores the significant impacts of café servicescape on social interaction quality (CEI and CCI). Additionally, it provides insights within the role of social interactions to customer’s affective and behavioral responses in service settings, especially the CCI quality.

Although Korean sociology of sport is relatively unknown to the international community of scholars, it is a mature field in Korea. Sociology of sport was first introduced in Korea in the mid-1960s when the field first evolved in North America and Europe. However, the development of the field shows different aspects from its Western counterpart due to unique cultural and environmental factors both in academia and in society. There are three major research trends that form Korean sociology of sport. First, there is the research focus on the benefit of sport and physical activity by examining empirical data using quantitative methodologies. The second group of researchers pays attention to individual experience in diverse sport fields and utilize qualitative methodologies to investigate empirical or secondary data. The third and most recent trend is a critical approach that theoretically analyzes ideologies, power relations, and identity politics in sport and society. When looking at the future, there are problems and limitations within the field in Korea. These include lack of continuity in terms of conference sub-themes, over-production of doctoral degree graduates, conservatism rooted in the field, and a danger of regarding sport policy research as an exit for sport sociologists. However, there are also possibilities and reasons for optimism. The biggest possibility for Korean sociology of sport is globalization of the field. Another significant possibility is the need for sport sociologists in planning, developing, and evaluating sport policy. Finally, diversification of the field gives ample opportunities for future research.

This paper investigates a retrospective on the Journal of Derivatives and Quantitative Studies (JDQS) on its 30th anniversary based on bibliometric. JDQSs yearly publications, citations, impact factors, and centrality indices grew up in early 2010s, and diminished in 2020. Keyword network analysis reveals the JDQS's main keywords including behavioral finance, implied volatility, information asymmetry, price discovery, KOSPI200 futures, volatility, and KOSPI200 options. Citations of JDQS articles are mainly driven by article age, demeaned age squared, conference, nonacademic authors and language. In comparison between number of views and downloads for JDQS articles, we find that recent changes in publisher and editorial and publishing policies have increased visibility of JDQS.

The purpose of this paper is to identify the cause how the student movement in South Korea enjoyed the golden age in the 1970–1990s and could not be revived since the late 1990s and cannot be played a pivotal role again.

This study adopts historical analysis as primary methodology, traced the historical evolution of South Korean student activism in the 1970–1990s through analyzing secondary Korean literature and newspaper on the particular struggle cases in the period.

Social solidarity between society and student had played a pivotal role in the South Korean students' long activism in the struggle of the 1970–1990s. In the 1970–1980s, democratic election and constitutional reform set in the main purpose of struggle that attracted wide support from society and enjoyed maintaining a new member supply and their commitment despite authoritarian government's persistent oppression. When the sixth constitution was passed in 1987 with Democratization, the student decided to choose continuing struggle and set social cooperation with North Korea as the new goal, the sensitive issue in South Korea that confronted fierce criticism. Society chose to withdraw their support to the activism in the Yonsei University incident of 1996, rung a knell of long struggle since the 1970s.

The research identified the cause how South Korean students in university could persist long strike without particular internal resource production during three decades and ended the long struggle in the late 1990s; the existence of social solidarity between student and society was the main reason of continued new member supply and their commitment in the battle.

This paper aims to explore the effect of interlocking directorates on agency conflicts and corporate performance in the shipping industry.

The authors use social network analysis to discover central nodes in the network of personal and corporate connections in an international sample of 110 listed shipping companies.

Assessing network structure, the authors find that the network of corporate leaders is denser than the network of shipping companies. The network of shipping companies is populated with many isolated nodes; the network of shipping executives and directors is populated with many cohesive groups in which the longest distance between two corporate leaders is two companies. The authors find that interlocking corporate leadership can help resolve agency conflicts in the shipping industry, bearing a negative effect on the magnitude of agency costs. The extent of leadership overlaps is associated with board size, financial leverage and profitability. The relationship between profits and interlocks is bidirectional, implying that interlocking directorates bear a positive effect on asset returns.

The authors map the relational structures in the social networks of companies and company leaders in the shipping industry and discover the cross-sectional determinants of interlocks in the shipping industry. The finding about the effect of interlocks on profitability and agency costs bears policy implications for the design of corporate governance in the shipping industry.