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This study broadens the understanding of how omnichannel service convenience, shopping value and channel congruence affect customer perceived trust and satisfaction and, in turn, affect selection intention after an omnichannel shopping experience.

Target participants were recruited based on previous purchases from the Japanese clothing brand Uniqlo. A questionnaire was distributed via social media. In total, 341 valid responses were collected for structural equation modelling (SEM).

The results revealed that in omnichannel shopping context, perceived trust and satisfaction are positively affected by service convenience and shopping value and are especially affected by channel congruence. Further analysis showed that perceived trust and satisfaction have a positive effect on omnichannel selection intention, with satisfaction playing a mediating role in the relationships of omnichannel service convenience, shopping value and channel congruence with omnichannel selection intention.

This study contributes to the literature on omnichannel customer behaviour by shedding light on the antecedents of intention to select omnichannel retailers from the customer’s perspective.

Purpose – The chapter aims at enhancing our understanding on how the headquarters involvement and subsidiary entrepreneurship during the innovation development process of multinational corporation (MNC) subsidiaries affect the outcome of the innovation in terms of their home market- and organisational performance.

Design/methodology/approach – The study is based on cross-sectional questionnaire survey data from 87 innovation projects in 64 MNC subsidiaries located in Europe, East Asia and the United States.

Findings – Subsidiary entrepreneurship during the innovation process has a positive impact on the subsidiary's market performance and a negative impact on its organisational performance, whereas the involvement of corporate headquarters has a negative impact on the market performance, and a positive impact on the organisational performance.

Research implications – The research provides a starting point for further research on the relationship between the management of innovation processes among MNC subsidiaries and the performance outcomes of such processes.

Practical implications – The study implies that there is a need for corporate managers to take into account the entrepreneurial endeavour of subsidiaries when formulating corporate innovation strategies.

Originality/value: Integrates a top-down and bottom-up perspective on the strategic management of innovation development processes in MNC subsidiaries.

This study explores the career trajectories of Chief Executive Officers (CEOs) to uncover unique characteristics that contribute to their success. By utilizing web scraping and machine learning techniques, over two thousand CEO profiles from LinkedIn are analyzed to understand patterns in their career paths. This study offers an alternative approach compared to the predominantly qualitative research methods employed in previous research.

This study proposes a framework for analyzing CEO career patterns. Job titles and company information are encoded using the Standard Occupational Classification (SOC) scheme. The study employs the Needleman-Wunsch optimal matching algorithm and an agglomerative approach to construct distance matrices and cluster CEO career paths.

This study gathered data on the career transition processes of graduates from several renowned public and private universities in the United States via LinkedIn. Employing machine learning techniques, the analysis revealed diverse career trajectories. The findings offer career guidance for individuals from various academic backgrounds aspiring to become CEOs.

The building of a career sequence that takes into account the number of years requires integers. Numbers that are not integers have been rounded up to facilitate the optimal matching process but this approach prevents a perfectly accurate representation of time worked.

This study makes an original contribution to the field of career pattern analysis by disclosing the distinct career path groups of CEOs using the rich LinkedIn online dataset. Note that our CEO profiles are not restricted in any industry or specific career paths followed to becoming CEOs. In light of the fact that individuals who hold CEO positions are usually perceived by society as successful, we are interested in finding the characteristics behind their success and whether either the title held or the company they remain at show patterns in making them who they are today.

As a matter of fact, nearly all CEOs had previous experience working for a non-Fortune organization before joining a Fortune company. Of those who have worked for Fortune firms, the number of CEOs with experience in Fortune 500 forms exceeded those with experience in Fortune 1,000 firms.

The purpose of this study is to use a weak light source with spatial distribution to realize light-driven fluid by adding high-absorbing nanoparticles to the droplets, thereby replacing a highly focused strong linear light source acting on pure droplets.

First, Fe₃O₄ nanoparticles with high light response characteristics were added to the droplets to prepare nanofluid droplets, and through the Gaussian light-driven flow experiment, the Marangoni effect inside a nanofluid droplet was studied, which can produce the surface tension gradient on the air/liquid interface and induce the vortex motion inside a droplet. Then, the numerical simulation method of multiphysics field coupling was used to study the effects of droplet height and Gaussian light distribution on the flow characteristics inside a droplet.

Nanoparticles can significantly enhance the light absorption, so that the Gaussian light is enough to drive the flow, and the formation of vortex can be regulated by light distribution. The multiphysics field coupling model can accurately describe this problem.

This study is helpful to understand the flow behavior and heat transfer phenomenon in optical microfluidic systems, and provides a feasible way to construct the rapid flow inside a tiny droplet by light.

The purpose of this paper is to develop the multi‐degree‐of‐freedom measurement system to test, verify, and control the nano‐measuring machine.

A generic differential model approach is constructed to numerically describe the hysteresis effects of piezoelectric actuators. Based on the generic differential model, a feedforward compensator with a proportional integral (PI) type controller is designed to compensate for the hysteresis nonlinearity of a piezoelectric actuated three degree‐of‐freedom coplanar nanostage which can provide high‐precision applications.

The Z‐tilts (z, pitch, and roll motion) error compensation stage of the nano‐measuring machine is accomplished. Moreover, a high‐resolution laser interferometer is used to measure position accurately.

This paper contributes to develop a tracking control design method for the piezoelectric motion platform which combines a closed‐loop feedforward compensator with a PI type controller.

With the advancements of Internet of Things (IoT) and artificial intelligence (AI) in recent years, smart objects (SOs) have been widely applied in the lives of consumers to fulfill a variety of functions. This research aims to explore the new interaction experience between consumers and a smart speaker that can create the effect of customer engagement by enhancing the gendered voice and product smartness.

This study conducted a 2 × 2 × 2 between-subject experiment to validate the research model and the hypotheses.

The results indicate that a high level of interaction experience between the users and smart speaker devices increases customer engagement. Smart speaker devices that present female voices have a high product smartness, whereas high levels of interaction experience are more effective in customer engagement. Furthermore, the results also show a moderate effect of gendered voice and product smartness between the interaction experience levels and customer engagement.

This study contributes to the assemblage theory and the interaction experience levels between users and smart speaker devices in IoT. Based on the results, suggestions on enhancing the smartness ability and application services of new smart speaker devices are proposed. The findings of this study can promote a more continuous interaction between users and smart speakers.

This paper aims to provide a precise tracking control scheme for multi-input multi-output “MIMO” nonlinear systems with unknown input time-delay in industrial process.

The predictive control scheme based on multi-dimensional Taylor network (MTN) model is proposed. First, for the unknown input time-delay, the cross-correlation function is used to identify the input time-delay through just the input and output data. And then, the scheme of predictive control is designed based on the MTN model. It goes as follows: a recursive d-step-ahead MTN predictive model is developed to compensate the influence of time-delay, and the extended Kalman filter (EKF) algorithm is applied for its learning; the multistep predictive objective function is designed, and the optimal controlled output is determined by iterative refinement; and the convergence of MTN predictive model and the stability of closed-loop system are proved.

Simulation results show that the proposed scheme is of desirable generality and capable of performing the tracking control for MIMO nonlinear systems with unknown input time-delay in industrial process effectively, such as the continuous stirred tank reactor (CSTR) process, which provides a considerably improved performance and effectiveness. The proposed scheme promises strong robustness, low complexity and easy implementation.

For the limitations of proposed scheme, the time-invariant time-delay is only considered in time-delay identification and control schemes. And the CSTR process is only introduced to prove that the proposed scheme can adapt to practical industrial scenario.

The originality of the paper is that the proposed MTN control scheme has good tracking performance, which solves the influence of time-delay, coupling and nonlinearity and the real-time performance for MIMO nonlinear systems with unknown input time-delay.

This paper aims to first, examine teachers' conception of e‐learning and second, is to reveal how e‐learning is applied in teaching and learning in the field of Chinese higher education.

Various issues are reviewed in the instruction part, i.e. e‐learning applications in China, research and practices of e‐learning. The methodology applied in this study is phenomenography. Twenty‐four Chinese participants were interviewed in‐depth based on a protocol developed in the planning stage. The interviews are analysed from a grounded theory perspective and a set of conceptual categories are proposed.

Five categories, i.e. the centrality of the lecture, online cooperation learning, network learning, student learning, and infrastructure and access are identified in terms of the phenomenographic study. The findings demonstrate that the traditional teaching methods that dominate in China are unlikely to present conditions for mainstreaming e‐learning in the near future.

Traditional Chinese teaching culture still dominates in higher education, and teachers' conceptions do influence their teaching behaviours. Therefore, a training programme could be developed based on the categories of teachers' conceptions of e‐learning.

This study helps us to understand how Chinese teachers understand e‐learning and how they utilise e‐learning in their teaching and learning.

The purpose of this paper is to investigate the pose control of rigid spacecraft subject to dead-zone input, unknown external disturbance and parametric uncertainty in space maneuvering mission.

First, a 6-Degree of Freedom (DOF) dynamic model of rigid spacecraft with dead-zone input, unknown external disturbances and parametric uncertainty is derived. Second, a super-twisting-like fixed-time disturbance observer (FTDO) with strong robustness is developed to estimate the lumped disturbances in fixed time. Based on the proposed observer, a non-singular fixed-time terminal sliding-mode (NFTSM) controller with superior performance is proposed.

Different from the existing sliding-mode controllers, the proposed control scheme can directly avoid the singularity in the controller design and speed up the convergence rate with improved control accuracy. Moreover, no prior knowledge of lumped disturbances’ upper bound and its first derivatives is required. The fixed-time stability of the entire closed-loop system is rigorously proved in the Lyapunov framework. Finally, the effectiveness and superiority of the proposed control scheme are proved by comparison with existing approaches.

The proposed NFTSM controller can merely be applied to a specific type of spacecrafts, as the relevant system states should be measurable.

A NFTSM controller based on a super-twisting-like FTDO can efficiently deal with dead-zone input, unknown external disturbance and parametric uncertainty for spacecraft pose control.

This investigation uses NFTSM control and super-twisting-like FTDO to achieve spacecraft pose control subject to dead-zone input, unknown external disturbance and parametric uncertainty.

This paper takes the Shanghai-Shenzhen-Hong Kong Stock Connect as a quasi-natural experiment and investigates the impact of capital market liberalization on the corporate debt maturity structure. It also aims to provide some policy implications for corporate debt financing and further liberalization of the capital market in China.

Employing the exogenous event of Shanghai-Shenzhen-Hong Kong Stock Connect and using the data of Chinese A-share firms from 2010 to 2020, this study constructs a difference-in-differences model to examine the relationship between capital market liberalization and corporate debt maturity structure. To validate the results, this study performed several robustness tests, including the parallel test, the placebo test, the Heckman two-stage regression and the propensity score matching.

This paper finds that capital market liberalization has significantly increased the proportion of long-term debt of target firms. Further analyses suggest that the impact of capital market liberalization on the debt maturity structure is more pronounced for firms with lower management ownership and non-Big 4 audit. Channel tests show that capital market liberalization improves firms’ information environment and curbs self-interested management behavior.

This research provides empirical evidence for the consequences of capital market liberalization and enriches the literature on the determinants of corporate debt maturity structure. Further this study makes a reference for regulators and financial institutions to improve corporate financing through the governance role of capital market liberalization.