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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.

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 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.

Over the past 50 years, a substantial interest has been put to research on how innovation spreads within social networks over time (see Rogers, 1962, 2010). Our initial aim was to examine innovation diffusion in industrial networks. We operationalized the research through a case study of an advertising network by using systematic combining as the approach (Dubois & Gadde, 2002, 2014). From the initial focus of innovation diffusion, the rematching of data and theory led us to focus on the barriers of innovation diffusion. By doing so, we found out that multilevel strategizing appears to be an important phenomenon in understanding dynamics of innovation diffusion within industrial networks. Specifically, strategizing occurs in two levels: (1) the groups within the network compete for position, and (2) actors within a group compete for position by trying to differentiate themselves from other group actors. A strategic mismatch between the two levels leads the network to become decelerated or even static in diffusing new innovations (Abrahamsen, Henneberg, & Naudè, 2012). Uncovering these findings would not have been possible without the use of systematic combining and the constant matching between theoretical and empirical domains.

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.

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 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.

This study examines the extreme quantile connectedness and spillovers between West Texas Intermediate (WTI) crude oil futures and ten Vietnamese stock market sectors. Knowledge of such links is important to both investors and policymakers in understanding the transmission of shocks across markets.

The authors employ the extreme quantile connectedness methodology of Ando et al. (2022).

Initial results show that the size of spillovers is higher during bearish markets than bullish markets and under major financial, political, energy and pandemic events. The oil market is a net receiver of spillovers during downward markets and net contributors during upward markets. The banking sector is a net contributor of spillovers, whereas consumer discretionary and consumer staples are net receivers for different quantiles. The role of the remaining sectors as net receivers/contributors is sensitive to the quantiles. Oil has a large spillover effect on the electricity sector for all quantiles. Comparing all crises, oil offers the best hedging effectiveness to the Vietnamese sector during the coronavirus disease 2019 (COVID-19) crisis. Moreover, oil was a cheap hedge asset during oil crises. Finally, oil provides the highest hedging effectiveness for healthcare during the global financial crisis (GFC) and consumer staples during the European debt crisis (EDC), oil crisis and COVID-19.

Acknowledging the presence of heterogeneity in the relation between oil and economic sectors under different market conditions, this study is the first to examine the extreme quantile connectedness between oil and Vietnamese sectors.

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.

The study seeks to examine the relationship between the implementation of the ISO 9000 quality management system and educational outcomes of schools, measured by student achievement on the state‐mandated tests and school attendance rates – graduation rates, in the case of high schools.

The study was conducted using schools in the USA that have implemented ISO 9000. The study employed the Hierarchical Linear Modeling (HLM) technique, taking into account the hierarchically nested data structure of this study.

It was found that: first, there is no relationship between ISO 9000 participation and students' learning outcomes on the state‐mandated tests – both for students in general and economically disadvantaged students in particular, across math and reading, and at all school levels; second, standardization of schooling by ISO 9000 fails to decrease the negative influence of school SES on the overall student achievement of a school; and finally, although ISO 9000 participation is not related to the students' graduation rates in high schools, it is positively associated with the students' school attendance rates in elementary and middle schools.

Given the long‐established institutional features of education such as value‐orientation, diversity, and complexity, ISO 9000, focusing on procedural standardization of classroom activities, may not work well as a quick‐fix solution to improve student learning.

The study suggests that, by helping schools become organized and thus function well in the area of essential school operations such as student and teacher attendance, ISO 9000 could positively influence school performance without threatening other important values such as teachers' professional autonomy and creativity in classrooms.