Search results

This study aims to comprehend luxury brands' corporate social responsibility (CSR) strategies. In addition to facing a demand for new CSR strategies (consumer-centric CSR), changes in CSR discourse among luxury brands are observed. This study examines how CSR-related and luxury-related agendas relate in the news media, especially concerning the difference between traditional and new luxury brands.

A total of 117,171 fashion-related news articles were collected from January 2016 to December 2020. The word2vec method was used to determine the relationship between CSR and luxury agendas.

The results indicate that company-centric CSR is more prominent with traditional luxury brands, while consumer-centric CSR is more relevant for new luxury brands. In addition, specific CSR attributes and luxury-related attributes are associated with media discourse, which means that CSR and luxury are compatible.

Studies on CSR in the luxury industry are not extensive in the literature. This study addresses this gap through a unique framework that combines agenda-setting theory and existing CSR literature and applies them to the luxury industry. Specifically, this study captures the development of each construct (company-centric CSR to consumer-centric CSR and traditional luxury to new luxury) and identifies the specific relationships between them. This result provides a novel view of the luxury industry indicating that it has evolved to encompass CSR-related values. The empirical results also offer practical implications for luxury marketing.

This study investigated the relationship between the CDS (credit default swap) market with the FX spot (FX swap) market, including the period of recent global financial crisis.

A measure for market efficiency is the condition that the derivative markets dominate the asset market in price discovery. In our case, however, FX market should be leading the CDS market. We found FX (spot and Derivatives) market has co-integration relationship with CDS market. Looking at Gonzalo Granger (GG) and Hasbrouck's price discovery measure, we found the FX spot and derivatives market dominated CDS market in price discovery.

This study has also examined the direction of shock spillover and volatility transmission between Korean CDS spread and Foreign exchange spot (FX swap) markets using the VECM bivariate GARCH approach. Our evidence suggested the presence of bi-directional shock volatility and volatility transmission between the CDS market and FX spot market partially exist. However, volatility spillover effects from CDS market to FX Swap market are stronger than in the reverse direction during the global financial crisis, indicating that the CDS spread signaling sovereign risk play a more important role in influencing the volatility of FX derivatives market.

There are some particular features in FX market. The volatility and shock of CIP deviations reflecting arbitrage opportunities in FX swap market are influenced by those of CDS spread in tranquil period prior to Lehman failure. But after Lehman failure CDS played a crucial role in signaling credit risk in FX derivatives market. We found that higher liquidity and trading volume of market matters more in price discovery and information transmission.

There is a lack of research on the link between the personal disposition of an entrepreneurial firm's founder, the firm's strategic orientation and its performance outcomes. Also, there is a lack of cross-national research on entrepreneurial firms’ strategic orientations. This paper seeks to address these gaps by exploring the differences in strategic orientation choices and their performance outcomes for American and Japanese entrepreneurial firms, focusing on founders’ achievement motivation as a key personal disposition.

A survey was conducted among 397 Japanese founders and 189 American ones.

This paper's key counterintuitive finding is that Japanese and American founders of entrepreneurial firms are more similar than is often suggested. The paper first finds that in both Japan and the US, achievement motivation is positively related to customer orientation and cost orientation while not being related to technological orientation. Second, it is found that the adoption of customer orientation is positively related to the profitability of both Japanese and American entrepreneurial firms, although the effect is stronger in the US. It is also found that the adoption of technology orientation is negatively related to the profitability of both Japanese and American firms, although the effect is less negative in Japan. Finally, it is found that the adoption of cost orientation does not have an impact on the profitability of either Japanese or American entrepreneurial firms.

This is one of the first studies to examine how founders of entrepreneurial firms use their personal disposition to shape the strategic orientation of their firm.

Because information is vital to effective decision making, the fostering of conditions which promote effective use of existing channels of information is therefore seen as a prime element contributing to organizational survival and success (Fulmer et al, 1990). In particular, the way in which characteristics of individuals and the attributes of the tasks they perform, affect the use of different information sources is a pertinent issue in organizational analysis. It is also an important consideration in information systems development and management. Much of the existing research in this area has been dominated by attempts to define appropriate modes of information processing and the construction of models that might enhance effective communication (O'Reilly, 1982; Schick et al, 1990; Kim 8c Lee, 1991). The importance of this area of research has been heightened by the dynamics and complexities of industrial organizations and the need for various modes of information processing to address these dynamics (Kim & Lee, 1991). Also, because the appropriate use of information is the ‘life‐blood’ of organizational dynamics, the identification of aspects that might affect differential use of various channels (of information) is fundamental to an understanding of the area.

During the early 1970s, per capita income of Koreans increased rapidly. The increased income was due to the speedy industrialization. Both increased income and mounting stress from jobs and the industrialized environment together induced Koreans to travel away from home to relax and regain strength to work.

This study investigates the influence of theoretical determinants on the Korea sovereign CDS spreads from January 2007 to September 2009 based on structural credit risk model. For the analysis of determinants on the sovereign CDS spread, this study adopts interest swap rate as reference interest rate, and decomposes yields curve into two components, ie, interest level and slope. Considering multivariate regression in level and difference variables, Stock returns and Interest rates have a significant effect on the CDS spreads among the theoretical determinants of structural credit risk models. CDS spreads may behave quite differently during volatile regime compared with their behavior in tranquil regime. We therefore apply Markov switching model to investigate the possibility that the influence of theoretical determinants of CDS spread has a regime dependent behavior. In all regimes Korean sovereign CDS spreads are highly sensitive to stock market returns, whereas in tranquil regime interest rates also have influence on CDS spreads. We conclude that for the efficient hedging of CDS exposure trader should adjust equity hedge ratio to the relevant regime.

In the architecture, engineering and construction (AEC) industry, technology developers have difficulties in fully understanding user needs due to the high domain knowledge threshold and the lack of effective and efficient methods to minimise information asymmetry between technology developers and AEC users. The paper aims to discuss this issue.

A synthetic approach combining domain knowledge and text mining techniques is proposed to help capture user needs, which is demonstrated using building information modelling (BIM) apps as a case. The synthetic approach includes the: collection and cleansing of BIM apps’ attribute data and users’ comments; incorporation of domain knowledge into the collected comments; performance of a sentiment analysis to distinguish positive and negative comments; exploration of the relationships between user sentiments and BIM apps’ attributes to unveil user preferences; and establishment of a topic model to identify problems frequently raised by users.

The results show that those BIM app categories with high user interest but low sentiments or supplies, such as “reality capture”, “interoperability” and “structural simulation and analysis”, should deserve greater efforts and attention from developers. BIM apps with continual updates and of small size are more preferred by users. Problems related to the “support for new Revit”, “import & export” and “external linkage” are most frequently complained by users.

The main contributions of this work include: the innovative application of text mining techniques to identify user needs to drive BIM apps development; and the development of a synthetic approach to orchestrating domain knowledge, text mining techniques (i.e. sentiment analysis and topic modelling) and statistical methods in order to help extract user needs for promoting the success of emerging technologies in the AEC industry.

This paper examines asymmetric multifractality (A-MF) in the leading Middle East and North Africa (MENA) stock markets under different turbulent periods (global financial crisis [GFC] and European sovereign debt crisis [ESDC], oil price crash and COVID-19 pandemic).

This study applies the asymmetric multifractal detrended fluctuation analysis (A-MF-DFA) method of Cao et al. (2013) to identify A-MF and MENA stock market efficiency during the COVID-19 pandemic.

The results show strong evidence of different patterns of MF during upward and downward trends. Inefficiency is higher during upward trends than during downward trends in most of the stock markets in the whole sample period, and the opposite is true during financial crises. The Turkish stock market is the least inefficient during upward and downward trends. A-MF intensifies with an increase in scales. The evolution of excessive A-MF for MENA stock returns is heterogeneous. Most of the stock markets are more inefficient during a pandemic crisis than during an oil crash and other financial crises. However, the inefficiency of the Saudi Arabia and Qatar stock markets is highly sensitive to oil price crashes. Overall, the level of inefficiency varies across market trends, scales and stock markets and over time. The findings of this study provide investors and policymakers with valuable insights into efficient investment strategies, risk management and financial stability.

This paper first explores A-MF in the MENA emerging stock markets. The A-MF analysis provides useful information to investors regarding asset allocation, portfolio risk management and investment strategies during bullish and bearish market states. In addition, this paper examines A-MF under different turbulent periods, such as the GFC, the ESDC, the 2014–2016 oil crash and the COVID-19 pandemic.

Drawing from a resource-based perspective in the work–family interface literature, the current study examines how emotional exhaustion, as a resource depletion mechanism, mediates the relationship between family–work conflict and job satisfaction. The authors also considered the content and nature of coworker support to investigate whether there were differential moderating effects of the two distinct types of coworker support: emotional and instrumental support.

The authors surveyed 321 kindergarten employees across multiple sites located in South Korea. Using this sample, the authors performed random coefficient modeling to test the proposed research model.

The results showed a significant negative indirect relationship between family–work conflict and job satisfaction through emotional exhaustion. Furthermore, the findings suggested differential effects of the two coworker support types, such that the positive relationship between family–work conflict and emotional exhaustion was stronger when coworker emotional support was low than when it was high; the positive relationship was stronger when coworker instrumental support was high than when it was low. Moderated mediation analyses revealed that the two types of coworker support moderated the indirect relationship.

These results highlight the mixed blessing of distinct types of coworker support for researchers and practitioners. A lack of emotional support and greater instrumental support from coworkers each, respectively, exacerbate the negative impact of family–work conflict on employees' well-being and, subsequently, job satisfaction.

This paper presents an Internet‐based virtual machining system which applies virtual manufacturing technology to machining processes of CNC machining center. The system is implemented to execute digital machining and verification, to transmit the NC code data to related machining centers after confirming the properness of virtual machining, and to manipulate the machine through the Internet. Also, this research proposes a basic structure that can monitor the status of machines via the Internet. By applying simulation techniques for machining processes, a simple manipulation and monitoring system of machining centers is realized. This entire system is constructed by adopting the latest information technology such as object‐oriented method, middleware, Internet programming, and client‐server structure.