Search results

The purpose of this paper is to focus on “how to create value from collaborative innovation,” which is a core question when companies plan open-innovation initiatives. China’s Huawei Technologies is taken as the main case study, with other companies’ practices as further examples to elaborate and validate a new yet practical model.

This paper is based on the direct experience over many years of two Huawei technology executives – the very recent head of the technology cooperation department and the current manager of the same unit.

This study provides a spiral four-stage model, named SWIM, with each stage being a decision guided by a 2 × 2 matrix. These stages, named scope, weave, identify and modularize, try to balance resource allocation toward a foreseeable value, though it might be long term.

The research is primarily based on one company. The validity of its recommended model can be tested only after other companies have applied it.

The research offers a practical framework for how companies can improve their open innovation.

Large companies are important players in innovation networks. Improving the ability of large companies to operate open innovation will help many other companies and the society as a whole.

The proposed model is original and provides insights from China and is not a traditional source of management innovation. The paper will also help Western readers get a better understanding of management in what will soon be the world’s largest economy.

The main aim of this paper was to study the self-lubricating behavior and failure mechanism of silver-rich solid film for in-depth analyzing of the friction and wear property of TiAl-10 wt. per cent Ag self-lubricating composite.

The friction and wear property of TiAl-10 wt. per cent Ag self-lubricating composite sliding against Si3N4 ball was tested under the testing conditions of ball-on-disk wear system. Field emission scanning electron microscopy and electron probe microanalyzer were used to analyze the surface morphology of silver-rich solid film. The main element contents were tested by energy dispersive spectroscopy. Silver phase on wear scar could be well identified using X-ray photo-electron spectroscopy. The theory calculation of shearing stress on wear scar was executed to discuss the local failure mechanism of silver-rich solid film. The lubricating role of silver was also discussed to analyze the anti-friction and anti-wear behavior of silver-rich solid film.

The friction coefficients and wear rates of TASC gradually reduced at 0-65 min, and approached to small values (0.31 in friction coefficient and 3.10×104 mm3N-1m-1 in wear rate) at 65-75 min. The excellent friction and wear behavior of TASC was mainly attributed to the lubricating property of silver-rich film at 65-75 min. At 12→20 N, surface shearing stress increased up to 146.31 MPa, and exceeded more than the shearing strength (125 MPa) of silver-rich film, which caused the propagating of fatigue crack and the destroying of silver-rich film, leading to high friction and severe wear.

It is important that the self-lubricating behavior and local failure of solid film is explored for further understanding the friction and wear property of TiAl alloys.

This study aims to present an automated guided logistics robot mainly designed for pallet transportation. Logistics robot is compactly designed. It could pick up the pallet precisely and transport the pallet up to 1,000 kg automatically in the warehouse. It could move freely in all directions without turning the chassis. It could work without any additional infrastructure based on laser navigation system proposed in this work.

Logistics robot should be able to move underneath and lift up the pallet accurately. Logistics robot mainly consists of two sub-robots, like two forks of the forklift. Each sub-robot has front and rear driving units. A new compact driving unit is compactly designed as a key component to ensure access to the narrow free entry of the pallet. Besides synchronous motions in all directions, the two sub-robots should also perform synchronous lifting up and laying down the pallet. Logistics robot uses a front laser to detect obstacles and locate itself using on-board navigation system. A rear laser is used to recognize and guide the sub-robots to pick up the pallet precisely within ± 5mm/1o in x-/yaw direction. Path planning algorithm under different constraints is proposed for logistics robot to obey the traffic rules of pallet logistics.

Compared with the traditional forklift vehicles, logistics robot has the advantages of more compact structure and higher expandability. It can realize the omnidirectional movement flexibly without turning the chassis and take zero-radius turn by controlling compact driving units synchronously. Logistics robot can move collision-free into any pallet that has not been precisely placed. It can plan the paths for returning to charge station and charge automatically. So it can work uninterruptedly for 7 × 24 h. Path planning algorithm proposed can avoid traffic congestion and improve the passability of the narrow roads to improve logistics efficiencies. Logistics robot is quite suitable for the standardized logistics factory with small working space.

This is a new innovation for pallet transportation vehicle to improve logistics automation.

Based on the person-environment (P-E) fit theory, this study aims to explore the effect of customer mistreatment on the reduced service performance of hospitality employees mediated by person-job (P-J) fit perceptions and moderated by job crafting.

The authors tested this study’s hypotheses with a nine-day diary study involving 83 service employees located in Lanzhou, China; a total of 548 daily surveys were completed. The authors used multilevel structural equation modeling to analyze the data.

Employees who experienced daily customer mistreatment suffered diminished P-J fit perceptions, leading to lower levels of service performance the next day. In addition, job crafting significantly buffered the impact of customer mistreatment on P-J fit perceptions and the indirect impact of customer mistreatment on service performance through P-J fit perceptions.

Given the damaging effect that customer mistreatment has on service performance, where employees’ P-J fit perceptions are impaired, hotel managers should implement service competence improvement training programs and managerial preventions to reduce the possibility of customer mistreatment behavior. The moderating role of job crafting behavior suggests that managers should offer supportive practices (i.e. job autonomy) to encourage job crafting behaviors among employees.

This study reveals that individuals’ P-J fit perceptions can explain the damaging impacts of customer mistreatment on service performance, a finding that contributes valuable information to the literature on customer mistreatment and P-E fit. Second, this study also tests the impact of individuals’ job crafting behaviors in terms of mitigating the negative effect of customer mistreatment. Finally, this study’s findings broaden the scope of predictors of P-J fit perceptions by revealing that customer mistreatment can pose a threat to hospitality employees’ P-J fit perceptions.

Drawing upon strengths-based inclusive work theory, this study explores how strengths-based leadership promotes employee career sustainability, particularly in the absence of protean career orientation (PCO), with career adaptability as a mediator.

A three-wave survey of 329 Chinese employees tested the moderated mediation model. Hypotheses were assessed using SPSS 26.0 and Mplus 8.3.

Strengths-based leadership positively influences career adaptability, leading to greater career sustainability. The effect is stronger when PCO is low, highlighting the compensatory role of strengths-based leadership.

The present paper extends the existing literature on strengths-based leadership and unveils that strength-based leadership can compensate for a lack of PCO. Also, it augments strengths-based inclusive work theory and provides meaningful insights to cultivate employee career sustainability.

The cross-sectional design and self-reported data limit causal conclusions. Future research should use longitudinal methods and diverse cultural contexts to improve generalizability.

Since the subject matters of human resources activities on knowledge intensive firms have been changed by coronavirus disease 2019 (COVID-19) pandemic, this study aims to analyze the impact of stock options on talent retention (knowledge worker retention) and knowledge productivity (innovation) in terms of patents, which directly affect the financial performance of knowledge intensive firms.

Drawing on agency and contingency theory to design the causality model, this study analyzes the data obtained from 227 publicly traded knowledge intensive firms in information technology (IT) and healthcare sectors. Panel data analysis is used to determine the long run causal relationship between firm innovation, knowledge worker retention and financial performance, in addition to ANOVA for evaluating firm size as a lurking variable on the effect of stock options.

The results of this study demonstrate that, when firm size is taken into account, (1) stock options significantly affect knowledge worker retention and firms' financial performance, and this impact is stronger in a during-pandemic situation than in a pre-pandemic situation (2) firm innovation significantly affects firms' financial performance and this impact is stronger in a during-pandemic situation than in a pre-pandemic situation; (3) knowledge worker retention doesn't have a significant impact on firm innovation and firms' financial performance. Moreover, random effect regression analysis for long-term relationships also depicts the same results: knowledge worker retention has non-significant impact on firm innovation and financial performance, but firm innovation significantly affects financial performance.

To the best of the authors' knowledge, the authors are the first to compare the effects of stock options, knowledge worker retention and firm innovation in both pre- and during-pandemic scenarios where firm size is taken into consideration.

The purpose of this paper is to enable autonomous door-opening with unknown geometrical constraints. Door-opening is a common action needed for mobile manipulators to perform rescue operation. However, it remains difficult for them to handle it in real rescue environments. The major difficulties of rescue manipulation involve contradiction between unknown geometrical constraints and limited sensors because of extreme physical constraints.

A method for estimating the unknown door geometrical parameters using coordinate transformation of the end-effector with visual teleoperation assists is proposed. A trajectory planning algorithm is developed using geometrical parameters from the proposed method.

The relevant experiments are also conducted using a manipulator suited to extreme physical constraints to open a real door with a locked latch and unknown geometrical parameters, which demonstrates the validity and efficiency of the proposed approach.

This is a novel method for estimating the unknown door geometrical parameters with coordinate transformation of the end-effector through visual teleoperation assists.

The purpose of this paper is to improve control performance and safety of a real two-wheeled inverted pendulum (TWIP) robot by dealing with model uncertainty and motion restriction simultaneously, which can be extended to other TWIP robotic systems.

The inequality of lumped model uncertainty boundary is derived from original TWIP dynamics. Several motion restriction conditions are derived considering zero dynamics, centripedal force, ground friction condition, posture stability, control torque limitation and so on. Sliding-mode control (SMC) and model predictive control (MPC) are separately adopted to design controllers for longitudinal and rotational motion, while taking model uncertainty into account. The reference value of the moving velocity and acceleration, delivered to the designed controller, should be restricted in a specified range, limited by motion restrictions, to keep safe.

The cancelation of model uncertainty commonly existing in real system can improve control performance. The motion commands play an important role in maintaining safety and reliability of TWIP, which can be ensured by the proposed motion restriction to avoid potential movement failure, such as slipping, lateral tipping over because of turning and large fluctuation of body.

An inequation of lumped model uncertainty boundary incorporating comprehensive errors and uncertainties of system is derived and elaborately calculated to determine the switching coefficients of SMC. The motion restrictions for TWIP robot moving in 3D are derived and used to impose constraints on reference trajectory to avoid possible instability or failure of movement.

This study aims to investigate the influence and impact mechanism of capital tax incentives on firm innovation.

This study employs the difference-in-differences (DID) method, in conjunction with the exogenous impact of accelerated depreciation (AD) pilot policy. This study selects Chinese listed companies from 2010 to 2017 as the research sample.

Firstly, AD exerts a substantial positive effect on the quantity and quality of the innovation output of firms, and the positive impact results primarily from heightened investment in fixed assets, particularly, machinery and equipment. Secondly, the influence of the policy is pronounced in non-state-owned enterprises, mature enterprises, less capital-intensive enterprises and non-high-tech industries, which all exhibit strong innovation incentives. Lastly, the tax incentive policy significantly stimulates firm innovation in the short term, but its long-term impact on innovation incentives lacks statistical significance.

This study highlights the significance of capital tax incentives in facilitating the innovation process in firms.

The purpose of the present research is to investigate the mechanisms by which conflict with customers (i.e. customer mistreatment) contributes to employees’ work withdrawal.

This paper tests its hypotheses by means of a field study of a sample of front-line health care workers in China. Data were collected in three waves over four months; a total of 398 health care workers completed the questionnaires and represented the final sample. A hierarchical multiple regression analysis was performed to test the proposed hypotheses.

The results indicate that mistreatment by customers contributes to employees’ work withdrawal, and emotional exhaustion serves as a mediator in this linkage. In addition, social support moderates the positive relation between customer mistreatment and employees’ emotional exhaustion, whereas conscientiousness moderates the positive relation between emotional exhaustion and withdrawal behavior.

The sample used may not fully justify the generalizability of the research results. Without distinguishing different sources of social support may be another limitation. In addition, this study could be improved by using a multi-source survey design.

To help employees effectively cope with interpersonal conflict with customers, organizations should take action to promote communication between employees and their supervisors and coworkers. It is also advisable for organizations to adjust their selection strategies and hire front-line employees high in conscientiousness.

This research presents a resource-based framework to illuminate the detrimental effects of prolonged exposure to customer mistreatment on health care workers’ withdrawal behavior in Chinese context. Furthermore, this study examines factors that may serve to mitigate the harmful effects of customer mistreatment and regards workplace social support and conscientiousness as two different kinds of resources that can play dissimilar roles when employees are coping with customer mistreatment.