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Firms may suffer differently from the patent thickets in a particular technology field. This paper explores how patent thickets affect the financial performance of firms with different patent propensities and technological leadership.

From the perspective of patent strategy, the authors study how patent propensity, the possibility that a firm applies for patents, affects the patent thickets and financial performance. Additionally, this paper uses patent stock to measure technological leadership, the degree to which a firm can develop, maintain and enhance technology and product innovation, to study the impact of patent propensity on firms. A three-way interaction model is used to explore the relationship among patent thickets, patent propensity, technological leadership and financial performance based on an unbalanced panel of 69 Chinese telecommunication equipment firms from 2008 to 2019.

The authors find that patent propensity positively moderates patent thickets and financial performance. Notably, technological leadership negatively moderates the moderating effect of patent propensity.

This paper enriches the heterogeneous literature of patent thickets and financial performance. It sheds light on the fact that firms with different technological leadership may use different patent strategies to cut through patent thickets.

The purpose of this paper is to explore flow as an underlying mechanism linking psychological ownership (PO) and subjective happiness and identify how flow affects employees’ subjective happiness.

Two separate samples were used. Sample 1 examined the responses of 120 female spa workers. Sample 2 examined the responses of 334 male logistics technicians. Data were collected through paper-based questionnaires across two time points.

PO was positively related to employees’ subjective happiness across both samples. Furthermore, PO has distinct impacts on employees’ subjective happiness through two distinct measures of flow: immersion and mastery. The authors found that immersion fully mediates the relationship between PO and employee subjective happiness in Sample 1, and mastery in Sample 2.

This is one of the first empirical studies to examine whether and how PO increases employees’ subjective happiness. The results contribute to the literature by providing a theoretical rationale for and an empirical analysis of a model wherein flow mediates the linkage between employees’ feelings of PO and their subjective happiness.

The internet technology becomes an essential tool for individuals, organizations, and nations for growth and prosperity. The purpose of this paper is to integrate the DeLone and McLean IS success model with task-technology fit (TTF) to explain the performance impact of Yemeni Government employees.

Questionnaire survey method was used to collect primary data from 530 internet users among employees within all 30 government ministries-institutions in Yemen. The four constructs in the proposed model were measured using existing scales. The data analysis starts with initial exploratory factor analysis, then confirmatory factor analysis and lastly structural equation modeling via AMOS.

The results showed that the proposed integrated model fits the data well. Findings of the multivariate analysis demonstrate four main results. First, actual usage has a strong positive impact on user satisfaction, TTF, and performance impact. Second, user satisfaction has a great influence on performance impact. Third, TTF has a strong positive impact on user satisfaction and performance impact. Fourth, both user satisfaction and TTF mediate the relationship between the actual usage and performance impact.

The public sector in Yemen contains three parts: Yemeni prime minister, Yemeni ministries, and government agencies. This study focuses only on the Yemeni employees among Yemeni ministries; hence the results are not necessarily generalizable. Moreover, there are biases when the researcher measures the actual Internet usage variable through asking a participant about their opinion regarding their usage because these are generally found to differ from the true score of system usage.

The findings should be very useful for the Yemeni Government in presenting the importance of information technology effects on individual efficiency and effectiveness. Therefore, the information from these findings should encourage and support the formation of future policy at the organizational level and national level. If the government utilizes these findings by setting up strategies to promote internet usage, this may, in turn, improve professional practice, personal development, and quality of working life.

This paper adds to the existing literature of information systems by combining actual technology usage, user satisfaction, and TTF to predict performance impact within the organizations. Furthermore, this study proposed a second-order model of performance impact in order to increase the power of explaining the output by the model, which contains four first-order constructs: process, knowledge acquisition, communication quality, and decision quality. The predictive power of the proposed model has a higher ability to explain and predict performance impact compared to those obtained from some of the previous studies.

This paper aims to obtain the evolution law of dynamic performance of CR400BF electric multiple unit (EMU).

Using the dynamic simulation based on field test, stiffness of rotary arm nodes and damping coefficient of anti-hunting dampers were tested. Stiffness, damping coefficient, friction coefficient, track gauge were taken as random variables, the stochastic dynamics simulation method was constructed and applied to research the evolution law with running mileage of dynamic index of CR400BF EMU.

The results showed that stiffness and damping coefficient subjected to normal distribution, the mean and variance were computed and the evolution law of stiffness and damping coefficient with running mileage was obtained.

Firstly, based on the field test we found that stiffness of rotary arm nodes and damping coefficient of anti-hunting dampers subjected to normal distribution, and the evolution law of stiffness and damping coefficient with running mileage was proposed. Secondly stiffness, damping coefficient, friction coefficient, track gauge were taken as random variables, the stochastic dynamics simulation method was constructed and applied to the research to the evolution law with running mileage of dynamic index of CR400BF EMU.

Individuals who spend a large percentage of their incomes on consumption are perceived to prefer risks. Since entrepreneurs are well recognized as risk-takers, this chapter investigates whether consumption propensity is associated with entrepreneurship. Using micro-level data from Chinese Household Income Project, we find that households with a higher income–consumption ratio on average have a higher preference for risk-seeking, while they have a lower probability to be entrepreneurs. However, households who have higher consumption–income ratio and are in the top 10% of the wealth distribution are more likely to embark on entrepreneurship. In addition, we find that in-system connection (relationship with government-related units) decreases the likelihood of starting new business, while out-system connection (relationship with market units) increases it. These findings suggest that in an imperfect financial market, start-up finance and connections play important roles for entrepreneurship.

Drawing on the taxonomy of patient empowerment and a sense of community (SoC), the purpose of this paper is to analyze the factors that impact the intention of the individual to continue using online social health support community for their chronic disease management.

A survey design was used to collect the data from multiple online social health support groups related to chronic disease management. The survey yielded a total of 246 usable responses.

The primary findings from this study indicate that the informational support – not the nurturant support such as emotional, network, and esteem support – are the major types of support people are seeking from an online social health support community. This research also found that patient empowerment and SoC would positively impact their intention to continue using the online health community.

This study utilized a survey design method may limit precision and realism. Also, there is the self-selection bias as the respondents self-selected themselves to take the survey.

The findings can help the community managers or webmasters to design strategies for the promotion and diffusion of online social health group among patient of chronic disease. Those strategies should focus on patient’s empowerment through action facilitating and social support and through creating a SoC.

An innovative research model integrates patient empowerment and a SoC to study patient’s chronic disease management through online social health groups to fill the existing research gap.

The purpose of this study is to investigate the relationship between workplace learning and organizational commitment with the mediating role of cross-cultural adjustment and the moderating role of supervisor trust for the case of foreign workers in a new cultural setting.

This study uses structural equation modeling to analyze a sample data of 367 Vietnamese and Philippine workers in Taiwan.

Results show that workplace learning enhances foreign workers' organizational commitment. Cross-cultural adjustment is found to have a mediating effect in the link between workplace learning and organizational commitment. Furthermore, supervisor trust moderates the link between cross-cultural adjustment and organizational commitment. In addition, supervisor trust moderates the indirect effect of workplace learning on organizational commitment through cross-cultural adjustment.

Prior literature often focuses on expatriates who are high-skilled employees. This study investigates low-skilled workers who come from less-developed country working in a more developed economy. This study is one of the first researches examining the issue of foreign workers' commitment in new cultural environment. Our findings shed a new light to the effect of workplace learning on organizational commitment. Our findings also help to clarify the roles of cross-cultural adjustment and supervisor trust into the workplace learning–organizational commitment relationship. This study provides implications for researchers and managers regarding to management and development of foreign workers for local organizations.

This research aims to improve the performance of rail fastener defect inspection method for multi railways, to effectively ensure the safety of railway operation.

Firstly, a fastener region location method based on online learning strategy was proposed, which can locate fastener regions according to the prior knowledge of track image and template matching method. Online learning strategy is used to update the template library dynamically, so that the method not only can locate fastener regions in the track images of multi railways, but also can automatically collect and annotate fastener samples. Secondly, a fastener defect recognition method based on deep convolutional neural network was proposed. The structure of recognition network was designed according to the smaller size and the relatively single content of the fastener region. The data augmentation method based on the sample random sorting strategy is adopted to reduce the impact of the imbalance of sample size on recognition performance.

Test verification of the proposed method is conducted based on the rail fastener datasets of multi railways. Specifically, fastener location module has achieved an average detection rate of 99.36%, and fastener defect recognition module has achieved an average precision of 96.82%.

The proposed method can accurately locate fastener regions and identify fastener defect in the track images of different railways, which has high reliability and strong adaptability to multi railways.

This study aims to identify facilitating factors in cultivating a linguistically and culturally diverse virtual Community of Practice (CoP) and techniques in tailoring such support for international graduate teaching assistants (ITAs) at a US university while assessing indications for ITAs' self-perceptions in four key areas: social connectedness, confidence teaching in English, pedagogical support and self-efficacy in teaching.

This mixed-methods case study qualitatively analyzes open-ended responses utilizing a Grounded Action Research approach along with follow-up interviews of ITAs. Quantitative measures of key perception areas between three “Experience Groups” were conducted to identify potential correlations with involvement in the CoP.

Calculations using the Kruskal–Wallis test of differences yielded no statistically significant results. However, qualitative analyses highlight ITAs' needs, classified into four general concepts and 16 specific core categories. Evaluation of CoP communications suggests COVID-19 and a sudden transition to online teaching represented recognizable shared problems that invigorated the CoP and overshadowed diversity-related factors.

These findings have implications for culturally and linguistically diverse CoPs and particularly for ITA training programs worldwide, allowing universities to enhance support of ITAs and bolster development of undergraduate programs especially during times of crisis and transitions to online learning.

The first study to investigate an international, multilingual ITA population in a virtual CoP regardless of academic discipline, this contributes by addressing several common CoP criticisms, including cultivation in distributed contexts and in further guiding expectations for its adoption into culturally and linguistically diverse communities.