Search results

This paper reports the first part of a recent interview with Dr Bor-Shiuan Cheng on his values, beliefs or thoughts on how to lead a fulfilling life as a person and a researcher.

This paper is based on a recent interview with Dr Bor-Shiuan Cheng.

Life is a journey of discovering our purpose and fulfilling our own destiny. Once Dr Cheng decided his career direction after trying out different alternatives, he sticks to it and makes the best out of it. His choice of majoring in psychology became a basis for the contributions to Chinese management research.

Dr Cheng’s life and career paths showcased a successful scholar who keeps doing one thing in his life, being himself, being focused and persistent. His experience may inspire and encourage junior scholars for career development.

The interview presents the life and career paths of Dr Cheng, who has chosen to take a road less traveled and enjoyed different views along the road.

Drawing on the conservation of resources theory, the present research paper examines the moderating role of leaders' Machiavellianism in the relationships between the desire for promotion, workplace anxiety and exploitative leadership.

The authors collected matched time-lagged data from part-time MBA students and their subordinates. The subordinate questionnaires were paired and coded by the researchers and then directly distributed and instructed to be filled out, which would not be known to the MBA students. The final sample size came to 370 leader-subordinate dyads. The data were analyzed using SPSS 24 and Mplus 7.0.

Leaders' desire for promotion is positively related to exploitative leadership via workplace anxiety. Furthermore, this mediating effect is significant when Machiavellianism is high, but not when Machiavellianism is low.

For business ethics scholars and practitioners, this study points out that leaders with a desire for promotion can produce workplace anxiety, lead to subordinates' perception of exploitative leadership and how this process varies by key personality trait—Machiavellianism.

The purpose of this paper is to explore the possibility of an enhanced continuous liquid interface production (CLIP) with a porous track-etched membrane as the oxygen-permeable window, which is prepared by irradiating polyethylene terephthalate membranes with accelerated heavy ions.

Experimental approaches are carried out to characterize printing parameters of resins with different photo-initiator concentrations by a photo-polymerization matrix, to experimentally observe and theoretically fit the oxygen inhibition layer thickness during printing under conditions of pure oxygen and air, respectively, and to demonstrate the enhanced CLIP processes by using pure oxygen and air, respectively.

Owing to the high permeability of track-etched membrane, CLIP process is demonstrated with printing speed up to 800 mm/h in the condition of pure oxygen, which matches well with the theoretically predicted maximum printing speed at difference light expose. Making a trade-off between printing speed and surface quality, maximum printing speed of 470 mm/h is also obtained even using air. As the oxygen inhibition layer created by air is thinner than that by pure oxygen, maximum speed cannot be simply increased by intensifying the light exposure as the case with pure oxygen.

CLIP process is capable of building objects continuously instead of the traditional layer-by-layer manner, which enables tens of times improvement in printing speed. This work presents an enhanced CLIP process by first using a porous track-etched membrane to serve as the oxygen permeable window, in which a record printing speed up to 800 mm/h using pure oxygen is demonstrated. Owing to the high permeability of track-etched membrane, continuous process at a speed of 470 mm/h is also achieved even using air instead of pure oxygen, which is of significance for a compact robust high-speed 3D printer.

In the ongoing Industry 4.0 era, the internet of things (IoT) has become a global race in the current information technology climate. However, little is understood about the pattern of the global competitive arena or its players’ set up strategy. This paper aims to attempt to compare the cross-country development of the IoT industry. In particular, from the lens of industrial policies, this paper highlights how China, as a latecomer, gains momentum to emerge victorious as a leader in this global race.

Based on five dimensions, namely, foundation, trajectory, characteristic, application and social impacts, this paper presents the evolution of the IoT industry in the USA, European Union, Japan, South Korea and China. From the lens of windows of opportunities, this paper analyzes how China seized the opportunity with the emerging technology, thereby, enabling it to create a competitive advantage.

This paper finds that China’s IoT industry takes a distinct trajectory, where scientific institutions, enterprises and governmental policies collaborate in unison, during which the first phase was when scientific research institutions introduced the conceptual new technology from developed countries. This technological foresight allowed for the identification and realization of critical technologies, strategic fields and technological trends. The second phase was the continuous dissatisfaction of capabilities of critical technologies, which creates disruptions that significantly altered the environment of technological competition.

This paper provides a comprehensive and comparative review of IoT industries in a global context, with the critical and influential role of the windows of opportunities on those enterprises lagging behind the technological wave.

The purpose of this paper is to propose a new optical steganography framework that can be applied to public optical binary phase-shift keying (BPSK) systems by transmitting a stealth spectrum-amplitude-coded optical code-division multiple-access signal through a BPSK link.

By using high-dispersion elements, the stealth data pulses temporally stretch and the amplitude of the signal decreases after stretching. Thus, the signal can be hidden underneath the public signal and system noise. At the receiver end, a polarizer is used for removing the public BPSK signal and the stealth signal is successfully recovered by a balanced detector.

In a simulation, the bit-error rate (BER) performance improved when the stealth power increased.

The BER performance worsens when the noise power become large. Future work will consider increasing the system performance during high-noise power situation.

By properly adjusting the power of the amplified spontaneous emission noise, the stealth signal can be hidden well in the public channel while producing minimal influence on the public BPSK signal.

In conclusion, the proposed optical steganography framework makes it more difficult for eavesdroppers to detect and intercept the hidden stealth channel under public transmission, even when using a dispersion compensation scheme.

The purpose of this study is to investigate consumers' emotional responses to artificial intelligence (AI) defeating people. Meanwhile, the authors investigate the negative spillover effect of AI defeating people on consumers' attitudes toward AI companies. The authors also try to alleviate this spillover effect.

Using four studies to test the hypotheses. In Study 1, the authors use the fine-tuned Bidirectional Encoder Representations from the Transformers algorithm to run a sentiment analysis to investigate how AI defeating people influences consumers' emotions. In Studies 2 to 4, the authors test the effect of AI defeating people on consumers' attitudes, the mediating effect of negative emotions and the moderating effect of different intentions.

The authors find that AI defeating people increases consumers' negative emotions. In terms of downstream consequences, AI defeating people induces a spillover effect on consumers' unfavorable attitudes toward AI companies. Emphasizing the intention of helping people can effectively mitigate this negative spillover effect.

The authors' findings remind governments, policymakers and AI companies to pay attention to the negative effect of AI defeating people and take reasonable steps to alleviate this negative effect. The authors help consumers rationally understand this phenomenon and correctly control and reduce unnecessary negative emotions in the AI era.

This paper is the first study to examine the adverse effects of AI defeating humans. The authors contribute to research on the dark side of AI, the outcomes of competition matches and the method to analyze emotions in user-generated content (UGC).

How to foster voice behavior has always been a hot topic in organizational research; however, the mechanism through which performing decent work affects employee voice behavior remains to be fully understood. To address this deficiency, the current study investigates how basic need satisfaction may relate to perceived decent work and voice behavior and the moderating role of gender. Our research draws upon self-determination theory and social information processing theory.

The theoretical model was tested using two-wave investigation data collected from a sample of 349 employees and 85 supervisors in Southwest China.

Decent work perception was positively related to voice behavior, and this relationship was partially mediated by basic need satisfaction. In addition, the relationship between decent work perception and basic need satisfaction as well as the indirect effect of decent work perception on voice behavior via basic need satisfaction was stronger for men than for women.

This study highlights the pivotal roles of basic need satisfaction and gender in the consequences of decent work perception in the workplace. The authors provide new insights into the relationship between decent work perception and voice behavior and inspire scholars to elucidate other explanatory mechanisms in this link.

The purpose of this paper is to propose a casting process for the production of double-chamber soft fingers, which avoids the problems of air leakage and fracture caused by multistep casting. This proposed method facilitates the simultaneous casting of the inflation chamber and the jamming chamber.

An integrated molding technology based on the lost wax casting method is proposed for the manufacture of double-chamber soft fingers. The solid wax core is assembled with the mold, and then liquid silicone rubber is injected into it. After cooling and solidification, the mold is stripped off and heated in boiling water, so that the solid wax core melts and precipitates, and the integrated soft finger is obtained.

The performance and fatigue tests of the soft fingers produced by the proposed method have been carried out. The results show that the manufacturing method can significantly improve the fatigue resistance and stability of the soft fingers, while also avoiding the problems such as air leakage and cracking.

The improvement of the previous multistep casting method of soft fingers is proposed, and the integrated molding manufacturing method is proposed to avoid the problems caused by secondary bonding.

The purpose of this paper is to examine market reactions to private equity placements and intra-industry information spillover effects in the Taiwan Stock Exchange.

The authors first use the market model to compute the abnormal announcement returns. To examine the joint impact of the private investment in public equity (PIPE) purposes and the lead investor industry, the authors regress the issuers’ cumulative abnormal returns (CARs) on the dummy variables of PIPE purposes and the lead investor industry. To study the spillover effects, the authors regress the rivals’ CARs on the issuers’ CARs, PIPE purposes, and the lead investor industry. Finally, the industry Herfindahl index is used as a proxy for the market power of issuers and rivals to examine its impact on the spillover effects.

The authors find that issuing firms experience positive abnormal returns during the announcement period. Issuers enjoy more positive market reactions when the proceeds of offerings are primarily used to establish a long-term strategic alliance or to integrate business and when the lead investor is in the same industry. Furthermore, the authors show that the contagion effect dominates the competitive effect in private equity placements at the aggregate level. At the subsample level, the authors find competitive effect overpowers contagion effect when the purpose of offerings is primarily used to establish a long-term strategic alliance or to integrate business and when the lead investor is in the different industry. Finally, the authors show that rivals with relative lower market power enjoy more positive contagion effects.

First, the analysis documents the simultaneous importance of both the purposes of private offerings and the lead investor’s industry on announcement reactions, which shed new light on the positive abnormal returns during the announcement period. Second, the study adds to the literature on the information spillover effects by analyzing the role played by purposes of offerings and rivals’ market power. This paper provides a more complete picture of the offsetting competitive and contagion effects.

The aim of the paper is to propose a global, automated and continuous curvature calibration strategy for bending sensors, which is used for the angle feedback control of soft fingers.

In this work, the proposed curvature calibration strategy for bending sensors is based on the constant curvature bending properties of soft fingers. The strategy is to install the bending sensor on the soft finger and use the laser distance sensor to assist calibration, then calculate the relationship between the curvature and the voltage of the bending sensor through geometric conversion. In addition, this work also develops a full set of standard calibration systems and collection procedures for the bending sensor curvature calibration and uses machine learning algorithms to fit the collected data.

First, compared with the traditional calibration methods, the proposed curvature calibration strategy can achieve constant curvature measurement with the advantages of better continuity. Second, using the sensor data obtained by the proposed calibration method as the feedback signal for the soft finger bending angle control, the control effect is better than that of the traditional method.

This work proposes and verifies a global, automated and continuous curvature calibration strategy for bending sensors and is used for the angle feedback control of soft fingers. In addition, this work also develops a full set of standard calibration systems and collection procedures, which can be applied to a variety of flexible bending sensors with a good adaptability.