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The COVID-19 pandemic has generated a significant impact on several aspects of public relations practice. By adopting the theoretical framework of adaptive leadership, this research is designed to explore how an organization’s top leadership can support related adaptive action in strategic communication. Particularly, we hope to explore whether the application of adaptive leadership could facilitate a higher level of communication transparency as well as deliver a sense of caring and empathy in COVID-19 communication.

An international online survey was designed and conducted for this study. The first sample consists of 776 full-time communication professionals in the United States of America with 435 women (56.1%) and 341 men (43.9%). The second sample consists of 268 full-time communication professionals in Canada, with 110 women (41.0%) and 158 men (59.0%). The two samples were merged into the final sample of 1,044 for the data analysis.

Results confirmed that the perceived impact of the COVID-19 pandemic increased communication professionals’ challenges in building trust. It also drives adaptive changes in their coping actions in strategic communication. More importantly, the top leadership within the organization played a key role in this adaptive leadership environment by demonstrating commitment to transparency in COVID-19 communication and delivering a sense of empathy during the pandemic.

This study contributes to our understanding of strategic communication in times of crisis, such as the COVID-19 global pandemic, by focusing on the adaptive nature of communication leadership. More importantly, our study confirms the important roles of two leadership attributes (i.e. the sense of empathy and the commitment to communication transparency) in supporting adaptive leadership, which eventually influences trust building.

This study aims to investigate the influences of perceived and preferred coaching behaviors and the discrepancy between them on job satisfaction, mediated by the quality of the relationship with the immediate supervisor and adaptive performance.

The research adopted a cross-sectional survey design. A total of 220 Korean employees, small-sized team members, were recruited from the automotive industry for the study. This research explored the relationship between perceived and preferred coaching behaviors using the Pearson correlation. Structural equation modeling was used to analyze the relationships among perceived and preferred managerial coaching behaviors, the discrepancy between them, the quality of the relationship with the immediate supervisor, adaptive performance and job satisfaction.

Perceived and preferred coaching behaviors exhibited a weak correlation. Perceived coaching behaviors indirectly influenced job satisfaction through the quality of the relationship with the immediate supervisor and adaptive performance. The discrepancy between perceived and preferred coaching behaviors directly and indirectly influenced job satisfaction via adaptive performance. However, all paths related to preferred coaching behaviors were found to be insignificant.

Although the results of this research may be generalized to the Korean automotive industry, the findings highlight perceived and preferred coaching behaviors and the discrepancy between them as independent variables. The findings shed light on the influences of managerial coaching on the quality of the relationship with the immediate supervisor within Korean workplace cultures and how coaching behaviors contribute to triggering subordinates’ adaptive performance. In addition, the study provides how managerial coaching influences job satisfaction in the workplace.

Based on the findings, an organization should cultivate self-directed learning environments to enhance employees’ adaptive performance. The coaching training session should be added to the leadership development program for new managers. Team leaders need to consider their members’ preferences during managerial coaching.

The variables, such as preferred coaching variables and the discrepancy between perceived and preferred coaching behaviors, along with the research framework, represent a novelty in managerial coaching, as well as within the Korean context.

Guided by the cognitive-affective system theory of personality (CAPS), this study aims to investigate the parallel mediating effects of cognitive and affective cynicism on the relationship between illegitimate tasks and employees’ adaptive performance. It also proposes growth need strength as a moderating variable for relationships between illegitimate tasks and employees’ adaptive performance.

Using a time-lagged design, data were gathered from 330 frontline hotel employees in China.

The authors found that the presence of illegitimate tasks is negatively associated with employees’ adaptive performance, this relationship being mediated by cognitive and affective cynicism. Growth need strength weakens the negative impacts of cognitive and affective cynicism on employees’ adaptive performance. In addition, the indirect effect of illegitimate tasks on employees’ adaptive performance via cognitive and affective cynicism is stronger for employees with lower levels of growth need strength.

Hotel managers must heed the negative impact of illegitimate tasks. Furthermore, they should underscore the importance of promoting a harmonious and positive organizational culture and atmosphere. Naturally, hotel managers must also establish effective communication with employees, assisting them in fostering a desire for excellence in their work.

This study provides valuable insights for the hospitality industry by investigating how illegitimate tasks hold sway over hotel employees’ adaptive performance. The study uses a moderated dual-path model to uncover the mechanisms behind this impact and the influence of boundary conditions, thereby expanding the understanding of the topic.

This study aims to discuss relationship between job resources and employees adaptive job performance. Using the job demands-resource (JD-R) theory, the paper examines the mediating role of work engagement in the relationship between job resources and adaptive job performance. The study also explores the moderating role of psychological contract fulfillment.

The study is based on data gathered from 254 employees of hospitality sector in Pakistan through a Web-based survey. The statistical verification conducted through using partial least squares structural equation modeling.

Findings has confirmed that job resources positively related to employees’ adaptive job performance. Furthermore, the mediation effect is explained by employees’ work engagement. Interestingly, employee psychological contract fulfillment moderated the positive relationship between job resources and employees’ work engagement.

The present study expands the previous research that validates the assumptions of job demand-resources theory into hospitality employees to harness job resources with employees’ engagement and performance as well as highlight the role of psychological contract fulfillment.

Drawing on the conservation of resources theory, this study aims to explore how individuals’ perceptions of telework effects associate with their adaptive performance by shaping their negative emotional experiences, with perceived leadership effectiveness acting as a critical moderator in this relationship.

A cross-sectional design was used, with data collected from a final sample of 209 teleworkers via an online survey.

The results demonstrated a significant indirect effect of the perceived effects of teleworking on adaptive performance through negative affect. Furthermore, leadership effectiveness moderated the indirect effect, in a way that the indirect effect was only significant for those who had ineffective leaders and moderate effective leaders; therefore, the indirect effect was strengthened for those who had less effective leaders (versus effective leaders).

This study examines the positive link between teleworking perceptions and adaptive performance through the reduction of negative affect, in line with the conservation of resources theory. Moreover, a reduction in negative emotions among employees during telework is associated with enhanced performance. Notably, the study reveals that leadership effectiveness moderates this connection as playing a crucial role in moderating these effects, particularly when leaders are perceived as less effective, offering insights for organizations considering telework strategies.

This paper aims to present a novel adaptive sliding mode control (ASMC) method based on the predefined performance barrier function for reusable launch vehicle under attitude constraints and mismatched disturbances.

A novel ASMC based on barrier function is adopted to deal with matched and mismatched disturbances. The upper bounds of the disturbances are not required to be known in advance. Meanwhile, a predefined performance function (PPF) with prescribed convergence time is used to adjust the boundary of the barrier function. The transient performance, including the overshoot, convergence rate and settling time, as well as the steady-state performance of the attitude tracking error are retained in the predetermined region under the barrier function and PPF. The stability of the proposed control method is analyzed via Lyapunov method.

In contrast to conventional adaptive back-stepping methods, the proposed method is comparatively simple and effective which does not need to disassemble the control system into multiple first-order systems. The proposed barrier function based on PPF can adjust not only the switching gain in an adaptive way but also the convergence time and steady-state error. And the efficiency of the proposed method is illustrated by conducting numerical simulations.

A novel barrier function based ASMC method is proposed to fit in the amplitude of the mismatched and matched disturbances. The transient and steady-state performance of attitude tracking error can be selected as prior control parameters.

The purpose of this study was to investigate work-related adaptive performance from a longitudinal process perspective. This paper clustered specific behavioral patterns following the introduction of a change and related them to retentivity as an individual cognitive ability. In addition, this paper investigated whether the occurrence of adaptation errors varied depending on the type of change content.

Data from 35 participants collected in the simulated manufacturing environment of a Research and Application Center Industry 4.0 (RACI) were analyzed. The participants were required to learn and train a manufacturing process in the RACI and through an online training program. At a second measurement point in the RACI, specific manufacturing steps were subject to change and participants had to adapt their task execution. Adaptive performance was evaluated by counting the adaptation errors.

The participants showed one of the following behavioral patterns: (1) no adaptation errors, (2) few adaptation errors, (3) repeated adaptation errors regarding the same actions, or (4) many adaptation errors distributed over many different actions. The latter ones had a very low retentivity compared to the other groups. Most of the adaptation errors were made when new actions were added to the manufacturing process.

Our study adds empirical research on adaptive performance and its underlying processes. It contributes to a detailed understanding of different behaviors in change situations and derives implications for organizational change management.

Pandemics are frequent events, and the impact of each pandemic makes a strong and long-term effect on companies and markets. Given the potential impact of the COVID-19 pandemic, it is important to investigate the crisis from a different perspective to know how companies have sustained growth in markets. The purpose of this paper is to understand how profit-oriented customer-centric companies (small, medium and large) have responded and adapted to COVID-19 crisis, using the complexity theory.

Drawing upon the complexity theory, a humble attempt is made to develop theoretical propositions by conceptualizing companies as complex adaptive systems. The paper examines companies from three dimensions (i.e. internal mechanism, environment and coevolution).

Companies self-organize, emerge into new states and become adaptive to the changing environment. Companies create knowledge to understand the dynamic anatomy and design survival and growth strategies during and post COVID-19 era. Complex adaptive systems perspective provides companies with insights to deal with complex issues raised due to COVID-19 pandemic. They can handle the impact of pandemic efficiently with complex adaptive systems by developing and implementing appropriate strategies post-COVID-19.

The study reveals how companies evolve and emerge into as complex adaptive systems to adapt themselves to the highly dynamic environment, which are uncertain, unpredictable, nonlinear and multifaceted, in the context of COVID-19. Implications for theory and practice of viewing companies as complex adaptive systems and coevolving structures in the COVID-19 context are discussed.

The present paper aims to address challenges associated with path planning and obstacle avoidance in mobile robotics. It introduces a pioneering solution called the Bi-directional Adaptive Enhanced A* (BAEA*) algorithm, which uses a new bidirectional search strategy. This approach facilitates simultaneous exploration from both the starting and target nodes and improves the efficiency and effectiveness of the algorithm in navigation environments. By using the heuristic knowledge A*, the algorithm avoids unproductive blind exploration, helps to obtain more efficient data for identifying optimal solutions. The simulation results demonstrate the superior performance of the BAEA* algorithm in achieving rapid convergence towards an optimal action strategy compared to existing methods.

The paper adopts a careful design focusing on the development and evaluation of the BAEA* for mobile robot path planning, based on the reference [18]. The algorithm has remarkable adaptability to dynamically changing environments and ensures robust navigation in the context of environmental changes. Its scale further enhances its applicability in large and complex environments, which means it has flexibility for various practical applications. The rigorous evaluation of our proposed BAEA* algorithm with the Bidirectional adaptive A* (BAA*) algorithm [18] in five different environments demonstrates the superiority of the BAEA* algorithm. The BAEA* algorithm consistently outperforms BAA*, demonstrating its ability to plan shorter and more stable paths and achieve higher success rates in all environments.

The paper adopts a careful design focusing on the development and evaluation of the BAEA* for mobile robot path planning, based on the reference [18]. The algorithm has remarkable adaptability to dynamically changing environments and ensures robust navigation in the context of environmental changes. Its scale further enhances its applicability in large and complex environments, which means it has flexibility for various practical applications. The rigorous evaluation of our proposed BAEA* algorithm with the Bi-directional adaptive A* (BAA*) algorithm [18] in five different environments demonstrates the superiority of the BAEA* algorithm.

The rigorous evaluation of our proposed BAEA* algorithm with the BAA* algorithm [18] in five different environments demonstrates the superiority of the BAEA* algorithm. The BAEA* algorithm consistently outperforms BAA*, demonstrating its ability to plan shorter and more stable paths and achieve higher success rates in all environments.

The originality of this paper lies in the introduction of the bidirectional adaptive enhancing A* algorithm (BAEA*) as a novel solution for path planning for mobile robots. This algorithm is characterized by its unique characteristics that distinguish it from others in this field. First, BAEA* uses a unique bidirectional search strategy, allowing to explore the same path from both the initial node and the target node. This approach significantly improves efficiency by quickly converging to the best paths and using A* heuristic knowledge. In particular, the algorithm shows remarkable capabilities to quickly recognize shorter and more stable paths while ensuring higher success rates, which is an important feature for time-sensitive applications. In addition, BAEA* shows adaptability and robustness in dynamically changing environments, not only avoiding obstacles but also respecting various constraints, ensuring safe path selection. Its scale further increases its versatility by seamlessly applying it to extensive and complex environments, making it a versatile solution for a wide range of practical applications. The rigorous assessment against established algorithms such as BAA* consistently shows the superior performance of BAEA* in planning shorter paths, achieving higher success rates in different environments and cementing its importance in complex and challenging environments. This originality marks BAEA* as a pioneering contribution, increasing the efficiency, adaptability and applicability of mobile robot path planning methods.

Drawing upon the resource-based view this study aims to examine the connections between formal and informal business relationships and resource-bridging and adaptive capabilities within the context of foreign subsidiaries of multinational enterprises (MNEs) operating in Thailand. Based on prior literature emphasizing business network ties as sources of competitive advantage in emerging markets, this study extends the discourse by investigating the moderating effects of technological turbulence, power distance and assertiveness.

This study uses a quantitative research approach, using data obtained from a self-administered survey conducted among 168 foreign subsidiaries spanning diverse industries in Thailand. The data were analyzed by using multiple-group structural equation modeling to test the hypothesized relationships.

Cultivating different types of business ties enables foreign subsidiaries to improve different types of capabilities. While interpersonal relationships (i.e. informal businessties) enable them to develop their abilities to combine various resources (i.e. resource-bridging capability), rigid contractual-based relationships (i.e. formal businessties) help them to be more adaptive (i.e. adaptive capability). These relationships are also contingent upon the levels of technological turbulence, host-country power distance and host-country assertiveness.

This research builds upon prior research on network ties and capability building by delineating the specific nature of capabilities. Contradicting to the previous findings, demonstrating a negative relationship between formal business ties and capabilities, this study found that each type of business tie enables foreign subsidiaries to enhance different types of capabilities under different circumstances. Moreover, this study adopts a lens of host-country national culture rather than home-country culture in investigating the moderating effects of power distance and assertiveness.