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Reciprocity has traditionally been overlooked in social exchange models of inter-firm relationships. Therefore, this research integrates reciprocity and its antecedents into a social exchange model of inter-firm relationships.

The authors collected primary data from a sample of firms in the Republic of Korea using a questionnaire. They also used covariance-based structural equations modeling to fit the model given the proposed conceptualization.

Both conceptually and empirically, adding reciprocity and its antecedents to the social exchange model produce results that differ from previously published papers. Specifically, reciprocity affects information exchanged indirectly through both credibility and benevolence trust. In addition, the effect of information exchange mediates the effect of trust on calculative and affective commitment.

The foundation of long-term inter-firm relationships is quality information exchange, which is based on the development of credibility and benevolence trust, which in turn is based on reciprocity. Thus, reciprocity is a key variable in relationship development.

To the best of the authors’ knowledge, this paper is among the first to combine reciprocity and its antecedents into a social exchange model that contains trust and commitment. This model provides a bigger picture of how firms develop long-term relationships with their partner firms.

Places Korean chaebols (i.e. family‐owned conglomerates) in the context of organizational theory, characterizes them as leveraged controlling minority structure firms and discusses the behavioural consequences of this. Examines their long term performance in terms of diversification/changinb business environment, aggressive investment drive and the effects of management by one man. Considers the necessary conditions for efficient corporate governance and relates them to various Korean reforms, e.g. to protect minority shareholders. Summarizes the findings of the study and briefly considers their implications.

The objective of this paper is to understand changes and progress of the Korean childcare regime by examining the evolutional process of childcare initiatives that were developed since the Japanese colonial rule.

This study employed a qualitative-based research design with a particular emphasis on explanatory research. Meanwhile, the data were gathered through the peer-reviewed literature and reports.

The findings indicate that Korea has had three types of childcare regimes: effective-informal, productivist and inclusive-liberal orientation. It also pinpoints that while the care regime development followed the European regime, the egalitarian society, which is a social prerequisite for modern welfare state-building, has not yet been fully established. This paradoxical situation eventually impedes the development of universal childcare aimed at promoting gender equality and a work-life balance.

This article offers a model and characteristics of the Korean childcare regime dating back to the Japanese colonial period up until the Moon Jae-In administration, where it still receives less attention in most of the social policy literature (see Table 1).

Young consumers are particularly vulnerable to the addictive nature of smart phone technology. This paper aims to investigate the smart phone addiction cycle and health outcomes of young and old consumers from the lens of consumers’ mindfulness traits.

Qualitative and quantitative studies reveal that the lack of mindfulness, measured as a mindless trait, is strongly associated with smart phone addictions and health and quality of life outcomes.

Differences in mindlessness and smart phone-generated health outcomes are found between younger and older consumers. The negative impact of mindlessness on quality of life was greater for younger adults than older adults.

This research establishes baseline effects between the mindless trait and smart phone addiction levels.

Paper suggests the marketing of mindfulness programs and the use of marketplace apps to combat addiction issues.

Smart phone addiction is a growing problem, and this paper contributes to the understanding of the problem and offers societal solutions for its resolution.

This is the first empirical paper to investigate the connection between a mindless trait and smart phone tendencies and resulting health outcomes.

The purpose of this paper is to investigate the thermal behaviors of high power LED packages to enhance the thermal performances of low temperature co‐fired ceramic chip on board (LTCC‐COB) package. Thermal analysis demonstrated an improved LTCC‐COB package design that is comparable to a metal lead frame package with low thermal resistance.

The LED device developed in this study is a LTCC package mounted directly on the metal PCB. A numerical simulation was performed to investigate the thermal characteristics of the LED module using the finite volume method, which is embedded in commercial software (Fluent V.6.3). Thermal resistance and temperature measurement validate the simulated results.

The effect of the thickness of the die attach material on the thermal resistance was dominant due to low thermal conductivity, and the junction temperature decreased significantly with slight increases in thermal conductivity, especially when the value was less than 5 W/mK. The results reveal that the thermal resistance of MCPCB is about 49 per cent‐58 per cent of the junction to board thermal resistance. The thermal model results showed good agreement with experimental results.

The developed model overcomes the large thermal resistance of a conventional LTCC package for high power LED module. The extensive results have demonstrated an improved thermal design, optimal dimensions of each component and boundary conditions for high power LTCC‐COB type package.

Korea is a highly centralized country where most administrative functions are carried out by the central government in Seoul. Increasingly, however, local governments have been given greater autonomy in their operations. This chapter examines how the ideal values of political decentralization have interacted with the country’s local bureaucracy, which inherently has dark side in itself. The focus is on how local government employees have contributed, or responded, to the democratic change of their communities, particularly since the 1980s. At the outset, the experiences of Korea’s decentralization and local autonomy are briefly reviewed. It is then examined how the bureaucrats have played in the process of democratization in terms of three features: bureaucratic power, scope, and culture. Institutionalizing competitive local bureaucracy contributed to reduce the disparity between capital regions (Seoul and its surrounded area) and noncapital regions (locals). Empowering local bureaucracy to allow own localized decision-making process was the first move of Korean governance.

This study investigates the mediating effect of perceived value in the relationship between team identification and purchase intention towards licensed apparel within two different price settings (market price and 40% above market price). Considering adaptation level theory, cognitive dissonance theory and dual information processing, it is hypothesised that team identification will directly influence purchase intention when the price of a product decreases. Two models (partial mediation and full mediation) were constructed in each price setting and tested using structural equation modelling (SEM). The results indicate that the partial mediation model better fits the data for the 70,000 Won setting and the full mediation model was a better fit for the 90,000 Won setting.

Additive Manufacturing (AM) conventionally necessitates an intermediary slicing procedure using the standard tessellation language (STL) data, which can be computationally burdensome, especially for intricate microcellular architectures. This study aims to propose a direct slicing method tailored for digital light processing-type AM processes for the efficient generation of slicing data for microcellular structures.

The authors proposed a direct slicing method designed for microcellular structures, encompassing micro-lattice and triply periodic minimal surface (TPMS) structures. The sliced data of these structures were represented mathematically and then convert into 2D monochromatic images, bypassing the time-consuming slicing procedures required by 3D STL data. The efficiency of the proposed method was validated through data preparations for lattice-based nasopharyngeal swabs and TPMS-based ellipsoid components. Furthermore, its adaptability was highlighted by incorporating 2D images of additional features, eliminating the requirement for complex 3D Boolean operations.

The direct slicing method offered significant benefits upon implementation for microcellular structures. For lattice-based nasopharyngeal swabs, it reduced data size by a factor of 1/300 and data preparation time by a factor of 1/8. Similarly, for TPMS-based ellipsoid components, it reduced data size by a factor of 1/60 and preparation time by a factor of 1/16.

The direct slicing method allows for bypasses the computational burdens associated with traditional indirect slicing from 3D STL data, by directly translating complex cellular structures into 2D sliced images. This method not only reduces data volume and processing time significantly but also demonstrates the versatility of sliced data preparation by integrating supplementary features using 2D operations.

We present an approach for pricing American put options with a regime-switching volatility. Our method reveals that the option price can be expressed as the sum of two components: the price of a European put option and the premium associated with the early exercise privilege. Our analysis demonstrates that, under these conditions, the perpetual put option consistently commands a higher price during periods of high volatility compared to those of low volatility. Moreover, we establish that the optimal exercise boundary is lower in high-volatility regimes than in low-volatility regimes. Additionally, we develop an analytical framework to describe American puts with an Erlang-distributed random-time horizon, which allows us to propose a numerical technique for approximating the value of American puts with finite expiry. We also show that a combined approach involving randomization and Richardson extrapolation can be a robust numerical algorithm for estimating American put prices with finite expiry.