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A number of automated tools will be required for the purpose of enabling efficient services in air traffic control. The purpose of this paper is to devise an optimal flight trajectory search method that optimizes airspace system efficiency for 3D space in the presence of uncertainties.

This paper put forward an optimization model for generating applicable solutions of multi-aircraft conflict resolution problem, and the solution is based on the principle of optimality.

The conflict resolution problem between multiple aircraft can be described by spatial discretization, and the approach taken digitizes the 3D space into a grid of nodes.

The simulation examples are given to illustrate the validity of trajectory search model and stress on the impact of different system parameters.

Realistic constraints that are convenient to operate are incorporated in the system model, and the results show that it can provide reliable decision-making for conflict avoidance.

The purpose of this paper is to provide an analysis of the relationship between expected risk premia on property stocks and some major macroeconomic risk factors as reflected in the general business and financial conditions

Employs a three‐step estimation strategy (principal component analysis, GARCH (1,1) and GMM) to model the macroeconomic risk variables (GDP growth, INDP growth, unexpected inflation, money supply, interest rate and exchange rate) and relate them to the first and second moments on property stock excess returns of four major markets, namely, Singapore, Hong Kong, Japan and the UK. Macroeconomic risk is measured by the conditional volatility of macroeconomic variables.

The expected risk premia and the conditional volatilities of the risk premia on property stocks are time‐varying and dynamically linked to the conditional volatilities of the macroeconomic risk factors. However there are some disparities in the significance, as well as direction of impact in the macroeconomic risk factors across the property stock markets. Consequently there are opportunities for risk diversification in international property stock markets.

Results help international investors and portfolio managers deepen their understanding of the risk‐return relationship, pricing of macroeconomic risk as well as diversification implications in major Asia‐Pacific and UK property stock markets. Additionally, policy makers may play a role in influencing the expected risk premia and volatility on property stock markets through the use of macroeconomic policy.

Aims to investigate whether the level and volatility of interest rates affect the excess returns of major Asian listed property markets within a time‐varying risk framework.

A three‐factor model is employed with excess return volatility, interest rate level and interest rate volatility as its factors. The generalized autoregressive conditionally heteroskedasticity in the mean (GARCH‐M) analyzes are undertaken on monthly excess returns of property stock indexes for the period 1987‐2003.

Property stocks are generally sensitive to changes in the long‐term and short‐term interest rates and to a lesser extent, their volatility. Moreover, there are disparities in the magnitude as well as direction of sensitivities in interest rate level and volatility across the listed property markets and under different market conditions. Overall, results indicate changes in the ARCH parameter, risk premia, volatility persistence and interest rate level and volatility effects before and after the 1997 Asian financial crisis. However, these noted changes are not uniform and depend on the individual listed property markets.

The findings enhance investors' understanding in financial asset pricing and complement existing evidence in international real estate. With the increasing significance of property stocks as real estate investment vehicles for international investors to gain property exposure in Asia and internationally, the paper is timely and provides the basis for more advanced research in international real estate investment strategies and capital asset pricing.

The surging market demand for green construction materials has brought opportunities for construction materials enterprises' greenwashing behavior (GWB). This study aims to establish the causal relationship among the influencing factors of GWB and reveal the key influencing factors from the perspective of Chinese construction materials enterprises under multi-agent interactions.

This study is based on stakeholder theory, resource-based theory and the green development behavior and performance of industrial enterprises (GDBP-IE). First, with the literature analysis, an index framework of the influencing factors of enterprises' GWB was constructed from five dimensions (including 15 factors): environmental regulation, public scrutiny, market environment, corporate resources and corporate green development (GD) performance. Second, the interactive relationship among influencing factors was obtained by a questionnaire survey. Finally, the data are processed and analyzed with the grey-DEMATEL (Decision-making Trial and Evaluation Laboratory) method.

Among the factors, corporate information transparency has the greatest impact on the other factors, and consumer green preferences are most influenced by others. The most critical and important factor is the corporate social performance factor. In China, corporate social performance, corporate information transparency, corporate size and media supervision are the key factors influencing the GWB of construction materials enterprises.

This study provides a new perspective on the literature related to GWB by considering multi-agent interactions and extends the evidence from the construction materials industry for research on the drivers or influencing factors of enterprises' bad environmental behavior. Furthermore, it adds insights from China for further research on the governance strategies of GWB in other countries.

The purpose of this paper is to examine the behaviors and social interactions among preschool children and their teachers during food consumption at a daycare facility. Using social cognitive theory, the goal is to identify how role modeling, rules, behaviors and communication shape these young consumers’ health-related food consumption and habits.

This study was conducted in a US daycare facility among preschool children (aged four years) over a three-month period. Qualitative ethnographic methods included participant and non-participant observation of meals and snack-time.

Findings from the observations revealed that teachers’ food socialization styles and social interactions with peers cultivate children’s food consumption. In addition, commensality rules set by the childcare institution also help children learn other valuable behaviors (e.g. table manners and cleaning up).

The study was conducted in one location with one age group so the results may not be generalized to all children. As more young children spend time in preschools and daycare centers, the understanding of how these settings and the caregivers and peers influence them becomes more important. Preschool teachers can influence their young students’ food consumption through their actions and words. Training teachers and cultivating educational programs about ways to encourage healthy eating habits could be implemented.

The paper offers observations of actual behaviors among young children in a naturalistic setting.

This paper aims to theoretically investigate a knowledge management model from the combined perspective of knowledge acquisition and knowledge application and its effect on organizational performance.

This study reviews prior research on knowledge acquisition and knowledge application, puts forward the concepts of “the extensiveness of knowledge acquisition” and “the concentration of knowledge application” and more importantly proposes an integrated model by combining these two dimensions. Four case examples of enterprises are subsequently described and analyzed to illustrate the sources of knowledge acquisition, the objects of knowledge application and their influences on organizational performance.

Four knowledge management modes and their impacts are confirmed in this study. Specifically, the organization of the turbojet engine mode (high extensiveness of knowledge acquisition and high concentration of knowledge application) can achieve good performance. The pipeline mode (high extensiveness of knowledge acquisition and low concentration of knowledge application) is the second, which has limited influence on good organizational performance. Organizations with the flashlight mode (low extensiveness of knowledge acquisition and high concentration of knowledge application) can achieve limited performance under the appropriate environment. The candle mode (low extensiveness of knowledge acquisition and low concentration of knowledge application) is the worst, performance of which is poor due to the break of the knowledge chain.

This paper holds that organizations should actively use the turbojet engine mode, adopt the pipeline mode and the flashlight mode cautiously, and avoid falling into the candle mode.

To the best of the authors’ knowledge, this study is among the first to propose the concepts of “the extensiveness of knowledge acquisition” and “the concentration of knowledge application,” and provides a combined model for analyzing differences in organizational performance from the perspective of knowledge.

Drawing on the literature of eco-innovation and institutional theory, this research aims to answer two fundamental questions: Does eco-innovation improve or harm firm value in emerging markets? and How institutional environments moderate the relationship between eco-innovation and firm value? We explicate the regulatory, normative and cognitive pillars of institutions, manifested as regulation intensity, environmental agency pressure and public pressure, respectively.

For this study, a cross-sectional panel data set was assembled from multiple archival sources, including data coded from the corporate annual reports and social responsibility reports, statistical yearbooks, China Stock Market Financial Database (CSMAR) and other secondary sources. A hierarchical regression method was used to test the hypotheses. The data comprised 88 firms sampled over four years. The model using feasible generalized least squares (FGLSs) to control heteroscedasticity in errors due to unobserved heterogeneity was estimated.

Empirical findings from a data set compiled from multiple archival sources reveal that both eco-product and eco-process innovation negatively relate to firm value. The interactions between eco-innovation and regulation intensity, environmental agency pressure and public pressure are positively related to firm value.

First, this study extends the literature of eco-innovation by investigating the impact of eco-innovation on firm value. Contrary to the conventional anecdotal evidence of the beneficial effect of eco-innovation, it was found that eco-innovation relates negatively to firm value. Second, this study develops and tests an institutional contingent view of eco-innovation by accounting for the moderating role of regulatory, normative and cognitive pressures.

Poor medication adherence leads to high hospital admission rate and heavy amount of health-care cost. To cope with this problem, various electronic pillboxes have been proposed to improve the medication adherence rate. However, most of the existing electronic pillboxes use time-based reminders which may often lead to ineffective reminding if the reminders are triggered at inopportune moments, e.g. user is sleeping or eating.

In this paper, the authors propose an AI-empowered context-aware smart pillbox system. The pillbox system collects real-time sensor data from a smart home environment and analyzes the user’s contextual information through a computational abstract argumentation-based activity classifier.

Based on user’s different contextual states, the smart pillbox will generate reminders at appropriate time and on appropriate devices.

This paper presents a novel context-aware smart pillbox system that uses argumentation-based activity recognition and reminder generation.

Using conservation of resources and self-determination theories, this study explores the negative ties between proactive career behaviour and job insecurity, which are mediated by work-related basic needs satisfaction, and how contract type affects these relationships.

Two waves of data were collected from 332 Chinese employees. The mediation and moderated mediation models were tested with MPLUS 8.30 and SPSS’s PROCESS macro.

Proactive career behaviour negatively affects (both quantitatively and qualitatively) job insecurity through work-related basic needs satisfaction. Contract type moderates the relationship between proactive career behaviour and work-related basic needs satisfaction as well as the indirect relationship between proactive career behaviour and quantitative (but not qualitative) job insecurity via work-related basic needs satisfaction. These findings suggest that temporary employees can obtain greater benefits by engaging in proactive career behaviour than can their permanent counterparts.

This study contributes to the limited research on job insecurity antecedents, mechanisms and key moderators.

The efficiency-enhancing and performance-boosting benefits of lean six sigma (LSS) practices have been advocated in both academia and industry. However, their mediating and moderating effects remain unclear and the impact of LSS practices is underdeveloped in the Chinese context. Therefore, by focusing on publicly listed companies in China, this study aims to investigate whether, how and when LSS practices link to organizations’ innovation and financial performance.

Data from 66 Chinese publically listed companies spanning a period of 25 years (2000–2024) was analyzed using the difference-in-difference method which compared the changes in outcomes over time between a treatment group and a control group.

This research found that LSS practices are positively related to firm-level outcomes including innovation and financial performance. The authors also confirm the mediating effect of operational capability on these relationships. Moreover, the empirical evidence suggests that implementing the quality management systems (QMS) standard, ISO 9001, moderates the relationships between LSS practices and innovation and financial performance such that these relationships are stronger for firms in organizations with higher maturity levels in implementing the standard.

This study sheds light on LSS theory and offers valuable recommendations for lean managers on how to leverage LSS practices to improve their innovation and performance capabilities.

This research provides novel insights into the influence of LSS practices on firm-level outcomes such as the level of innovation and financial performance. To the best of the authors’ knowledge, this study is the first to theoretically propose and empirically validate how and when LSS practices influence firm outcomes by introducing the mediating mechanism of operational capability and the boundary condition of QMS standards.