Search results

This paper aims to study a neural network-based fault-tolerant controller to improve the tracking control performance of an unmanned autonomous helicopter with system uncertainty, external disturbances and sensor faults, using the prescribed performance method.

To ensure that the tracking error satisfies the prescribed performance, the authors adopt an error transformation function method. A control scheme based on the neural network and high-order disturbance observer is designed to guarantee the boundedness of the closed-loop system. A simulation is performed to prove the validity of the control scheme.

The developed adaptive fault-tolerant control method makes the system with sensor fault realize tracking control. The error transformation function method can effectively handle the prescribed performance requirements. Sensor fault can be regarded as a type of system uncertainty. The uncertainty can be approximated accurately using neural networks. A high-order disturbance observer can effectively suppress compound disturbances.

The tracking performance requirements of unmanned autonomous helicopter system are considered in the design of sensor fault-tolerant control. The inequality constraint that the output tracking error must satisfy is transformed into an unconstrained problem by introducing an error transformation function. The fault state of the velocity sensor is considered as the system uncertainty, and a neural network is used to approach the total uncertainty. Neural network estimation errors and external disturbances are treated as compound disturbances, and a high-order disturbance observer is constructed to compensate for them.

The purpose of this study is to explore the mediating effect of moral disengagement in the relationship between mindfulness and unethical behaviors. The authors also explored the moderating effect of perceptions of politics on the mediational chain.

The authors administrated time-lagged surveys at two time periods separated by six weeks. Respondents were 206 full-time employees working in the USA. Hierarchical, moderated multiple regression analyzes were used to test the mediation and moderation effects.

Results showed that mindfulness reduced destructive deviant behavior and unethical pro-organizational behavior through moral disengagement and the mediation effects were weaker when employees’ perceptions of politics were stronger.

The results indicate that mindfulness and perceptions of organizational politics combine to have profound impacts on employee unethical behaviors. Organizations seeking to minimize the occurrence of deviance and unethical behaviors may do well to support employee mindfulness and as well as minimizing organizational politics. The findings suggest that the political context has a negative impact on even the behavior of mindful employees. Therefore, building mindfulness while simultaneously reducing politics are equally important goals.

Our study extends the theoretical development of mindfulness research by examining the interactive effects of perceptions of organizational politics and mindfulness and broadens the theoretical rationale for explaining the linkages between mindfulness and unethical behaviors.

Drawing on job demands-resources theory (Bakker and Demerouti, 2017) and conservation of resources theory (Hobfoll, 1989), this study aims to investigate the roles of work task conflict and coworker support in the experience of daily work-family balance. In particular, this study theorizes work-family balance as a higher-order construct, including both psychological (work-family balance satisfaction) and social (work-family balance effectiveness) dimensions.

The authors tested the proposed model using daily diary survey data collected from 50 full-time corporate employees across five consecutive workdays in a week. The hypotheses were tested using multilevel modeling analyses.

Analyses show that work task conflict impedes employees’ work-family balance on a daily basis. Results also support the moderating role of coworker support, such that the negative relationship between work task conflict and work-family balance is weaker when coworker support is high.

This research contributes to the literature by considering work-family balance as a higher-order construct. Further, this research advances theoretical knowledge of the interpersonal predictors of work-family balance. This study also expands previous work by examining the dynamic relationships between interpersonal events and work-family balance.

Psychological safety climate has been commonly conceptualized as a facilitative team property. Despite the literature review and meta-analysis conducted recently, little is known about the potential dark side of psychological safety climate. The purpose of this paper is to develop a theoretical framework to advance our understanding of both the bright and dark sides of psychological safety.

Drawing on extant theories and previous literature, the authors propose a conceptual framework of the mechanisms and boundary conditions underlying the relationship between psychological safety climate and dysfunctional team behavior.

The authors propose that the relationship between psychological safety climate and dysfunctional behaviors in the team is directly contingent on psychological safety climate strength, and indirectly contingent on task interdependence, group faultlines, group conflict asymmetry and team power distance differentiation.

First, the authors attempt to expand psychological safety climate literature by considering its potential damaging outcomes. Second, they contribute to the theory of psychological safety climate by suggesting a theoretical model consisting of the boundary conditions wherein psychological safety climate could reduce team effectiveness. Finally, the authors incorporate climate strength into the psychological safety literature to probe the antecedents of psychological safety climate strength and when it matters to the subsequent negative outcomes.

Assesses the effects of the Asian economic crisis on Taiwan and identifies some reasons why it has been less dramatically affected than other Asian countries. Discusses its actual and planned policies aimed at strengthening the economy further by maintaining currency stability, improving competitive strengths in both hi‐tech industries and manufacturing, entering new export markets, stimulating domestic demand and reforming financial institutions and regulations. Recognizes the political threats it faces but believes that increasing trade with and investment in China has reduced them.

Three theoretical constructs that appear in many models of consumer behaviour and are of central importance to fashion marketing and management are enduring product involvement, opinion seeking and subjective product knowledge. Both basic and applied market research, however, have lacked valid, reliable and standardised measures of these variables. Recent published studies have presented multi‐item scales that fill this gap in fashion research methodology. All three scales, however, were developed using US data, chiefly students. This paper presents the results of three surveys of Korean adult (n = 479) and student (n = 387) consumers as well as US adult consumers (n = 318) that support the reliability and validity of all three scales and show their applicability for cross‐cultural fashion research.

Global/national policy planning is guided by economic methods and predictions of growth, where indicators of success are measured according to a dominant view of progress and sustainable development. Yet, despite widespread ratification of the Declaration on the Rights of Indigenous Peoples, Indigenous Peoples remain unrepresented in this dominant view. The structural and historical forces informing global policy thus inadvertently produce a pathway of development that is characterized by political, economic, and social exclusion where Indigenous Peoples’ agency, heritage, and culture remain marginalized. I argue that socio-cultural nuance (“the complete story”) is critical to policy planning if we are to honor the principal aim of the Sustainable Development Goals – “leave no-one behind”. This and other policy frameworks need an approach that is neither framed by Eurocentric objectives nor bound by measurable indicators. This requires consideration of Indigenous Worldviews in a way that mediates diverse social, economic, and political factors. In this chapter, I examine the limitations in current policy consultation practice, with a specific focus on the extractive industries sector, and examine the ways in which engagement with Indigenous Peoples’ “complete story” might inform policy in the pursuit of a sustainable development that leaves no-one behind and creates a bridge between dominant and marginalized forms of knowledge.

The purpose of this paper is to explore a multidimensional quality scale for the identification of incentive travel attributes.

The combined qualitative and quantitative method was used.

The resulting quality scale comprises 32 items with eight factors: image and attractions, accessibility, site environment, hotel facilities, opportunities for networking and sense of achievement/reward, program, specially arranged program and local people.

The results of this study provide insights for practitioners in Taiwan, particularly the government bodies concerned and incentive event organizers, and thus assist the practitioners in making strategic plans and decisions to ensure event quality and overall attendee satisfaction.

The value of this study is the first attempt to develop and validate a scale for capturing the quality of incentive events.

This study aims to explore the emotional landscapes and spatial preferences of digital nomads, focusing on how sentiments expressed in destination reviews influence their mobility and destination choices.

Employing a lexicon-based sentiment analysis of social media comments and reviews, alongside advanced geographical information systems (GIS) mapping techniques, the study analyzes the emotional tones that digital nomads associate with various destinations worldwide.

The analysis reveals significant patterns of emotional sentiments, with trust and joy being predominant in preferred destinations. Spatial patterns identified through GIS mapping highlight the global distribution of these sentiments, underscoring the importance of emotional well-being in destination choice.

Insights from this study offer valuable guidance for Destination Management Organizations (DMOs) in strategic planning, enhancing destination appeal through targeted marketing strategies that resonate with the emotional preferences of digital nomads.

This research introduces a novel approach by integrating sentiment analysis with GIS to map the emotional and spatial dynamics of digital nomadism, contributing a new perspective to the literature on tourism and mobility.