Soohyun Park and Hyoung Sun Yoo
This study investigates the effects of related and unrelated technology diversity on R&D efficiency and how a firm’s unique core technology moderates this relationship. In…
Abstract
Purpose
This study investigates the effects of related and unrelated technology diversity on R&D efficiency and how a firm’s unique core technology moderates this relationship. In particular, this study aims to address the research gap in the technological diversity literature by examining whether the effects of related and unrelated technological diversity on R&D efficiency are consistent in the context of R&D-intensive firms.
Design/methodology/approach
Using a panel dataset of 516 top R&D investors worldwide from 2012 to 2018, the paper tests hypotheses on how the ambivalence of technological diversity affects R&D efficiency depending on the level of diversity.
Findings
Unrelated technological diversity has an inverted U-shaped curve relationship with R&D efficiency, which indicates that there exists an optimal point of unrelated technological diversity. Additionally, core technology plays a contingent role in this relationship by alleviating the volatility of the inverted U-shaped relationship between unrelated technological diversity and R&D efficiency.
Originality/value
This study makes an original contribution to the technological diversity literature by adopting an approach not limited to specific countries or industries, focusing on R&D-intensive contexts. Furthermore, the paper distinguishes the various types of technological diversity, considering that the motivations and strategic objectives underlying technological diversity vary depending on the specific type. This allows researchers to gain a deeper insight into how different types of diversity strategies impact R&D efficiency.
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Seong-Gyu Jeon and Yong Jin Kim
The weapon system of The Navy is the small quantity producing system on multiple kinds. It is consisted of various equipment and the subordinate parts of those which can repair…
Abstract
The weapon system of The Navy is the small quantity producing system on multiple kinds. It is consisted of various equipment and the subordinate parts of those which can repair the damaged part. The operating procedure concerning warship's repair parts managed under these systems is as follows. Firstly, if demand of repair parts occurs from warship which is the operating unit of weapon, then the Fleet(the repair & supply support battalion) is in charge of dealing with these requests. If certain request from warship is beyond the battalion's capability, it is delivered directly to the Logistic Command. In short, the repair and supply support system of repair parts can be described as the multi-level support system. The various theoretical researches on inventory management of Navy's repair parts and simulation study that reflects reality in detail have been carried out simultaneously. However, the majority of existing research has been conducted on aircraft and tank's repairable items, in that, the studies is woefully deficient in the area concerning Navy's inventory management. For that reason, this paper firstly constructs the model of consumable items that is frequently damaged reflecting characteristics of navy's repair parts inventory management using ARENA simulation. After that, this paper is trying to propose methodology to analyze optimal inventory level of each supply unit through OptQuest, the optimization program of ARENA simulation.
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Jun Sik Kim and Sol Kim
This paper investigates a retrospective on the Journal of Derivatives and Quantitative Studies (JDQS) on its 30th anniversary based on bibliometric. JDQSs yearly publications…
Abstract
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.