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Based on the micro role transition theory (MRTT), the present study aims to explore how leader–follower congruence in psychological capital (PsyCap) affects followers' task performance and voice behavior, in which we uncover the mediating role of organizational embeddedness.

A survey was conducted in South China through a three-stage procedure, and finally, a dyad-structured sample of 62 leaders and 218 employees was matched. The polynomial regression method, response surface analysis and structural equation modeling were employed to test the effects of leader–follower PsyCap congruence.

(1) Followers' organizational embeddedness will be higher when leaders' and followers' PsyCap are more aligned; (2) followers' organizational embeddedness will be higher when leaders' and followers' PsyCap are aligned at a high level rather than when they are aligned at a low level; (3) followers' organizational embeddedness will be higher when followers' PsyCap is higher than leaders', compared to when followers' PsyCap is lower than leaders'; (4) organizational embeddedness mediates the relationship between leader–follower PsyCap congruence and followers' (a) task performance and (b) voice behavior.

This study emphasizes leaders' pivotal role in a process where followers' PsyCap affects task performance and voice behavior, and further extends MRTT through introducing organizational embeddedness as a mediator in such a mechanism.

This study proposes a moderated mediation model that examines the roles that openness to change and psychological capital (PsyCap) may play in the relationship between climate for innovation and employee creativity.

Path modeling analysis with software Mplus 7 is conducted to test our moderated mediation model.

The results show that climate for innovation promotes openness to change, which in turn encourages employee creativity, and PsyCap moderates not only the relationship between climate for innovation and openness to change but also the indirect effect of climate for innovation on employee creativity through openness to change.

Although we attempt to avoid common method bias by collecting data in two waves, the six-month time interval separating the two waves of data collection may not be long enough to detect the causal relationship between climate for innovation and employee creativity. In addition, this study is conducted in companies located in China, which may raise the question of generalizability to other cultures.

The main contribution is building a moderated mediation model to uncover the potential mediating mechanism and boundary conditions associated with the influence of climate for innovation on employee creativity.

This study aims to debunk the myth that knowledge sharing will harm one’s competiveness, and argues, from the learning theory perspective, that sharing knowledge benefits both knowledge sharers and knowledge recipients.

Survey data were collected from 233 respondents across a variety of industries in Taiwan and the data were analyzed using Partial Least Squares analysis.

The results showed that both knowledge sharers and knowledge recipients benefitted from knowledge sharing, developing deeper and wider knowledge, leading to better performance, and that the benefits were greater for the knowledge sharers.

It is suggested that managers advocate knowledge sharing as a learning activity for both knowledge sharers and knowledge recipients. Regular knowledge sharing activities are advised, with knowledge sharers engaged fully in active learning, and knowledge recipients encouraged to take a more active role, by not only listening but also starting to share themselves.

This research adds to the knowledge management literature by investigating the results of knowledge sharing for both the sharer and recipient through a learning theory lens. It challenges the conventional view that employees will be worse off if they share knowledge, and debunks it with theoretical argument and empirical evidence. It offers insights into the impact on knowledge breadth and depth at the individual level, which was previously only studied at the organizational level.

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

Marking and inspecting are key steps in hull structure construction. However, currently most marking and inspecting operations are still carried out manually, which leads to low assembly efficiency and quality. This paper aims to solve these problems through the application of digital technology: the optical projection and machine vision.

First, the assembly process model of hull construction is established in 3D design environment. Second, the process information is presented to workers in a virtual form through optical projector, which provides accurate guidance for the manual operation. On this basis, the workers can complete welding and assembly operations readily. Finally, the machine vision method is used to check the assembly results, which can decrease the subjective errors.

A rapid and accurate assembly positioning for hull structure construction is realized based on optical projection, which can avoid the pollution caused by the marking machine and the error caused by human.

This paper combines the advantages of optical projection and machine vision to the field of shipbuilding. The shortcomings of the traditional marking and inspection methods is effectively solved, which may provide a new way for enhancing the assembly efficiency and quality.

As a measure against plastic waste, Coca-Cola and Evian have begun introducing label-free plastic bottles. Food labels have long been recognized as an important marketing tool, but there is a lack of research on label-free products. To address this gap, this study examined the influence of label-free design on product attractiveness in the Japanese green tea market.

If existing products are used in an experiment, respondents would be subject to brand image bias. Hence, by mechanically combining the main design elements (cap shape, bottle style, decoration line, logo and label) with an orthogonal array, the conditions for bottles with and without labels are completely aligned. The authors conducted an online survey and applied the chi-square test to the attractiveness of 18 designs presented in random order.

Label-free designs were more attractive to consumers than labeled designs. The effect was higher among female, middle-aged and older adults; those with higher annual income and low-frequency purchasers.

Practitioners should adopt a label-free design that can satisfy both environmental considerations and customer value. It would be a formidable challenge to change the longstanding emphasis placed on label design, but this study demonstrates the value of doing so.

This is the first study in the package design literature on the advantages of label-free plastic bottles. The authors also applied an orthogonal array used for many years to optimize objective numerical values in marketing research.

In transitional economies, government support (GS) is considered to influence the development of the economy and industries and, consequentially, firms' intellectual capital (IC). However, empirical research has yet to explore the micro-mechanisms through which GS operates. Hence, the purpose of this study is to conduct an empirical inquiry into the specific role of GS on IC, considering the mediating effect of firm operational performance (OP).

Combining the institution-based theory, the resource orchestration paradigm and a dynamic perspective on IC, a new framework is constructed to evaluate the direct and indirect relationships existing among GS policies, firms' operational performance and IC. These processes and their outcomes are evaluated using mediating models with three steps and a panel regression based on panel data from 3,211 high-tech companies operating in China from 2008 to 2015.

Empirical findings confirm the existence of a significant direct relation between GS and IC and also suggest a mediating effect through operational performance.

(1) GS can be considered an institutional signal that boosts the attractiveness of a firm, thus enabling it to hire talent (human capital), build a wide network of relationships in the ecosystem (structural capital) and enhance its current relationships with financial service institutions and other stakeholders (relational capital). (2) This study, which considers GS an external resource, is one of the first attempts to explore how external resources influence firms' IC development through institutional pressures and mechanisms. The study confirms that multiple strategies exist through which government authorities and policymakers can influence firms' IC and in particular a combination of institutional factors and firm's resources and capabilities.

Robotic process automation (RPA) has been widely implemented to automate digital tasks. The resulting new type of human–bot co-working environment, however, has been understudied. This paper investigated how the depth and breadth of RPA deployment impact employees' job autonomy and work intensification, as well as perceived RPA performance. It further examined how job autonomy, work intensification, and perceived RPA performance predict burnout and continuance intention to use RPA.

Using data collected from online survey of 128 RPA users, whose organizations have already gone live on RPA, partial least squares is used in the validation of the conceptual model and analysis.

The analytical results indicate that RPA deployment breadth and depth affect work intensification differently, and RPA deployment breadth and depth significantly predict perceived RPA performance. While work intensification increases burnout, job autonomy alleviates the burnout of employees. Finally, job autonomy and perceived RPA performance are both positive predictors of continuance intention to use RPA.

This study contributes to the literature by investigating how co-working affects employees' autonomy and quality of work. It also advances the research on technology deployment by showing how deployment breadth and depth differently affect employees' evaluations of work-related aspects. Third, it extends the applicability of job demand-resource model into technology deployment and continuance technology use literature, by illustrating the importance of a job resource such as job autonomy. Finally, it provides firms with RPA implementation strategies.

This paper aims to study a disturbance rejection controller to improve the anti-interference capability and the position tracking performance of airborne radar stabilized platform that ensures the stability and clarity of synthetic aperture radar imaging.

This study proposes a disturbance rejection control scheme for an airborne radar stabilized platform based on the active disturbance rejection control (ADRC) inverse estimation algorithm. Exploiting the extended state observer (ESO) characteristic, an inversely ESO is developed to inverse estimate the unmodeled state and extended state of the platform system known as total disturbances, which greatly improves the estimation performance of the disturbance. Then, based on the inverse ESO result, feedback the difference between the output of the tracking differentiator and the inverse ESO result to the nonlinear state error feedback controller (NLSEF) to eliminate the effects of total disturbance and ensure the stability of the airborne radar stabilized platform.

Simulation experiments are adopted to compare the performance of the ADRC inverse estimation algorithm with that of the proportional integral derivative controller which is one of the mostly applied control schemes in platform systems. In addition, classical ADRC is compared as well. The results have shown that the ADRC inverse estimation algorithm has a better disturbance rejection performance when disturbance acts in airborne radar stabilized platform, especially disturbed by continuous airflow under some harsh air conditions.

The originality of this paper is exploiting the ESO characteristic to develop an inverse ESO, which greatly improves the estimation performance of the disturbance. And the ADRC inverse estimation algorithm is applied to ameliorate the anti-interference ability of the airborne radar stabilization platform, especially the ability to suppress continuous interference under complex air conditions.

The purpose of this paper is to explore the influencing mechanism of coaching leadership (CL) on employee voice behavior (VB) based on cognitive-affective system theory of personality (CAPS). Specifically, the study intends to build a model of psychological security (PS) and openness to change (OC) that mediate the relationship between CL and employee VB at an individual-level and group-level from cognitive-affective dual perspective.

CL, employee VB, PS and OC were assessed in an empirical study based on a supervisor–subordinate dyads sample of 287 employees and 72 team leaders from enterprises in Southern China.

From CAPS theory perspective, the authors found that CL promotes employee VB and that PS and OC mediate the relationship between CL and VB.

Results underscore the importance of encouraging managers to engage in CL behaviors, which are conductive to enhancing employee PS and OC thereby improving employee VB. These results also highlight the significance of managerial attention to a secure voice atmosphere and the improvement of employees’ affective commitment to organizational change.

The research findings provide a significant contribution to the literature in that it shows PS and OC as crucial dual mediating mechanism through which CL influences VB. Moreover, this paper is one of the few studies answering the call to examine the effect of leadership at multiple levels.