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During the operation of Wendelstein 7-X (W7-X), any mechanical disturbance such as stick-slip may cause quenching of superconducting (SC) coils. The friction behavior of MoS₂ lubrication (thin film) for narrow support elements between the SC coils in W7-X is rather important, as there is a design requirement for a coefficient of friction (COF) 0.05 between the sliding surfaces to control the stress contribution (from friction).

The author has carried out intensive calibrations or verifications using verified models considering previous friction tests on various samples which measured the COF in 4.2 K, 77 K and room temperature conditions (at high vacuum) to simulate the actual working condition.

The author has given useful explanations and diagnosis for previous anomalous scattered data. To improve the performance of MoS₂, the author has predicted its better COF (0.002 via tuning of the activation volume), which could be a superlubricating state for MoS₂ thin films considering the long-term operation requirement W7-X.

In this paper, the author has adopted Eyring’s approach to predict the low COF (0.002 via tuning of the activation volume), which could be a superlubricating state for MoS₂ thin films considering the long-term operation requirement W7-X. Finally, some recent progresses about the possible few-layer MoS₂ role in the electromagnetic loads have been provided.

Dynamic lot sizing is the problem of determining the quantity and timing of ordering items while satisfying the demand over a finite planning horizon. This paper considers the problem with two practical considerations: minimum order size and lost sales. The minimum order size is the minimum amount of items that should be purchased and lost sales involve situations in which sales are lost because items are not on hand or when it becomes more economical to lose the sale rather than making the sale. The objective is to minimize the costs of ordering, item , inventory holding and lost sale over the planning horizon. To solve the problem, we suggest a heuristic algorithm by considering trade-offs between cost factors. Computational experiments on randomly generated test instances show that the algorithm quickly obtains near-optimal solutions.

Although it is a well-known notion that “a family firm does not survive beyond the third generation”, owing to the ineffective tacit knowledge transfer, studies investigating the relationship between generational evolution and knowledge innovation is scarce. Thus, this case study revolving Sin Kwang Plastic Resources Berhad (SKP) seeks to address this gap in literature.

To assess the development of family business, a longitudinal case study was performed by documenting the entire evolutionary process starting from its establishment until now. The historical profiles for SKP were obtained from the previous annual reports submitted to the government's Companies Commission (SSM). Secondary materials from the Federation of Malaysian Manufacturers (FMM) and the edge newspaper and articles on the company were also gathered. Throughout the in-depth interviews, the author can see how the next generation of this family firm innovates and implements tacit knowledge innovation in original equipment manufacturing (OEM) by adhering to the Japanese industrial standards.

Findings show that the second generation utilized the company's extensive knowledge in plastic contract manufacturing in SKP for tacit knowledge conversion, triggers the birth of STS Tecnic Berhad, a subsidiary company that manufactures plastic parts for the industrial packaging and automotive industry. To simplify the process of managing the complex business, SKP opted to “prune the family tree” by dividing the business, involving fewer managers and restricting the number of family shareholders.

This case study traces how Gan's family's tacit knowledge in plastic contract manufacturing have been acquired from the experience of contract manufacturing with the Japanese multinational corporations (MNCs) by further commercializing the tacit knowledge into different companies for different plants. SKP promotes tacit knowledge innovation in the learning organization, thus responding to the firm's sustainability.

This study demonstrates that knowledge transformation plays vital roles in product development and gaining competitive advantage. The success of this business is founded by the building of shared values, norms and technical understanding in plastic contract manufacturing among the Japanese MNCs in Malaysia.

This article reports on the current state of Common Logistics Center (CLC) adoption in Korea’s industrial complex, identifies the benefits of and barriers of adopting Common Logistics Centers, and provides recommendations for the adoption/expansion of Common Logistics Centers. The author surveyed a cross-sectional of 175 firms in the industry, followed by interviews in an industrial complex in Incheon, Korea. The author founded the benefits and barriers of Common Logistics Centers and the major factors that encourage companies’ participation.

Advantage of its geologic location lying at the heart of Central Asia with a large internal market of 27 million people and easy access to CIS market of over 142 million people enables Uzbekistan to form the hub of the region. Its transport and communications networks are connected with the other Central Asian countries. FIEZ in Navoi would be the representative model in CIS and be built on the best practice of next generation model as special national economic zones. Considering that the most of modern business is made through the web connection basis even for the flight management, cargo trace and other controls and operations, the importance of web connection should be stable, reliable and affordable for tenants and business entities at the FIEZ in Navoi. In these regards, cooperation work of both countries to study more details mentioned in this paper as well as other applicable models from Korean Free Economic Zone cases for the full picture of execution and promotion of the FIEZ in Navoi, Uzbekistan is considered.

This study explores the applicability of Anderson's (1999) code of the street framework to an Asian context by examining the relationship between residents' perceptions of police ineffectiveness, nationality, and street codes in foreigner-concentrated areas in South Korea.

The authors used survey data from 1,865 residents of diverse nationalities living in 20 foreigner-concentrated areas in South Korea. Mixed-effects ordinary least squares (OLS) regression and moderation analysis were used to examine (1) the association between residents' perceptions of police ineffectiveness and their street codes and (2) how this association varies across nationality groups.

The study findings overall indicated that higher resident perceptions of police as ineffective tended to correspond with greater levels of street codes. However, the interaction analysis results found that this relationship was conditioned by nationality. Specifically, perceptions of police ineffectiveness were associated with greater levels of street codes among foreign residents, particularly Korean-Chinese residents, whereas this was not the case among Korean residents.

The relationship between perceptions of the police and street codes described by Anderson (1999) has primarily been examined in the context of the U.S. To the best of the authors' knowledge, this study represents the first attempt to explore the link between residents' perceptions of the police and street codes by different nationality groups within an Asian setting.

The purpose of this study examined the effect of the eight dimensions of consumer innovativeness on brand satisfaction. In addition, this study investigated how brand satisfaction affects brand preference and brand loyalty. Lastly, how brand preference plays to form brand loyalty was also explored.

A survey was conducted via an online platform with the participants using an online firm in South Korea to evaluate the proposed research model. The data was collected from 326 people who used a coffee shop where robots provide the services.

The data analysis results indicated that the five dimensions of consumer innovativeness, which include novelty seeking, openness, quality experience seeking, hedonic experience seeking and social distinctiveness, aid to enhance brand satisfaction. Furthermore, it was discovered that brand satisfaction plays an important role with the formation of brand preference and brand loyalty.

There are few studies which focus how coffee consumers assess the value of a coffee brand. Thus, it would be meaningful to examine what impacts of consumer innovativeness exist in regards to robotic barista services that are related to brand satisfaction, brand preference and brand loyalty.

本研究考察了消费者创新性的八个维度对品牌满意度的影响。此外, 本研究还调查了品牌满意度如何影响品牌偏好和品牌忠诚度。最后, 还探讨了品牌偏好在形成品牌忠诚度方面的作用。

本研究通过在线平台在韩国进行了一项调查, 参与者使用一家提供机器人服务的咖啡店进行评估。数据收集自326名在该咖啡店使用服务的顾客。

数据分析结果表明, 包括新奇寻求、开放性、品质体验寻求、享乐体验寻求和社交独特性在内的五个消费者创新性维度有助于提高品牌满意度。此外, 品牌满意度在品牌偏好和品牌忠诚度的形成中起着重要作用。

目前很少有研究关注咖啡消费者如何评估咖啡品牌的价值。因此, 对于与品牌满意度、品牌偏好和品牌忠诚度相关的机器人咖啡师服务消费者创新性影响的研究具有重要意义。

The weather largely affects economic activity, and thus, companies vulnerable to weather risk need to plan ahead to cope with unexpected weather changes, just as they do for changes in interest rates, oil prices, or foreign exchange rates to stabilize their earning stream. Weather derivatives can be a useful tool for weather risk management.

This paper focuses on pricing one of the most popular weather derivatives -HDD/CDD options- and estimating the market price of weather risk (MPR). Historical data are used to construct the stochastic process of temperature, while the current market prices of Chicago and New York HDD futures options are used to extract the implied MPR. The Monte-Carlo Simulation Method is proposed to estimate the price of weather derivatives numerically. In addition, the approximate closed form formula for the options is provided modifying the Alaton, Djehiche, and Stillberg (2002) model. Finally, option price sensitivity to changes in MPR is analyzed to show the important role of the MPR in the weather option pricing model.

This study aims to explain the primacy that rapid, centralised decision-making gained in higher education institutions during the COVID-19 pandemic, with a particular focus on Australian universities.

This paper draws on discussions regarding policy problems of an international, purpose-convened on-line policy network involving over 100 registrations from multiple countries. It analyses emerging institutional policy governance texts and documents shared between network participants, applies policy science literature regarding traditional institutional policy-making routines and rapid decision-making, and references media reportage from 2020. The paper traces how higher education institutions rapidly adjusted to pandemic conditions and largely on-line operations.

The study finds that higher education institutions responded to the COVID-19 crisis by operationalising emergency management plans and introducing rapid, centralised decision-making to transition to remote modes of operation, learning and research under state-imposed emergency conditions. It highlights the need to ensure robust governance models recognising the ascendance of emergency decision-making and small-p policies in such circumstances, notwithstanding longstanding traditions of extended collegial policy-making routines for big-P (institutional) Policy. The pandemic highlighted practice and policy problems subject to rapid reform and forced institutions to clarify the relationship between emergency planning and decision-making, quality and institutional policy.

In covering a range of institutional responses, the study advances the possibility of institutions planning better for unexpected, punctuated policy shifts during an emergency through the incorporation of rapid decision-making in traditionally collegial environments. At the same time, the paper cautions against the normalisation of such processes. The study also highlights key practices and policies that require urgent reconsideration in an emergency. The study is designed as a self-contained and freestanding narrative to inform responses to future emergencies by roundly addressing the particularities of the 2020 phase of the COVID-19 pandemic as it affected higher education.

There is only limited research on policy-making in higher education institutions. This research offers an original contribution on institutional policy-making during a prolonged emergency that deeply changed higher education institution’s governance, operations and outlook. Particularly significant is the synthesis of experiences from a wide range of sector personnel, documenting punctuated policy shifts in policy governance (meta-policy), institutional policy-making routines and quality assurance actions under great pressure. This paper is substantially developed from a paper given at the Association for Tertiary Education Management Institutional Policy Seminar, 26th October 2020.

The proliferation of (big) data provides numerous opportunities for service advances in practice, yet research on using data to advance service is at a nascent stage in the literature. Many studies have discussed phenomenological benefits of data to service. However, limited research describes managerial issues behind such benefits, although a holistic understanding of the issues is essential in using data to advance service in practice and provides a basis for future research. The purpose of this paper is to address this research gap.

“Using data to advance service” is about change in organizations. Thus, this study uses action research methods of creating real change in organizations together with practitioners, thereby adding to scientific knowledge about practice. The authors participated in five service design projects with industry and government that used different data sets to design new services.

Drawing on lessons learned from the five projects, this study empirically identifies 11 managerial issues that should be considered in data-use for advancing service. In addition, by integrating the issues and relevant literature, this study offers theoretical implications for future research.

“Using data to advance service” is a research topic that emerged originally from practice. Action research or case studies on this topic are valuable in understanding practice and in identifying research priorities by discovering the gap between theory and practice. This study used action research over many years to observe real-world challenges and to make academic research relevant to the challenges. The authors believe that the empirical findings will help improve service practices of data-use and stimulate future research.