We investigate factors affecting individual investors’ switching intention from traditional financial market to crypto-currency financial market. By sampling factors of individual investors related with crypto-currency (CC), the study applies structural equation modeling method (SEM) to investigate their effects on switching intention by integrating PPM and Reinforcement Sensitivity theories (RST) to form a pulling, pushing and mooring effects model. The investigation indicates that crypto-currency market can be regarded as a kind of beneficial supplement of tradition investment market for those individual investors who are with high innovativeness, reward sensitivity, knowledge and perceived risk. This study proves that the individual investors are not only attracted by significant expected return from crypto-currency but also relevant knowledge and risks disclosed by crypto-currency market regulators and distributors. The findings reinforce major roles for both market regulators and individual investors in considering and providing insights for future policy, management and investigations.

Blockchain-based loan system can be summed up as: information exchange between various government departments; information exchange between enterprises and various financial institutions; detection of the actual use of loans in the form of encrypted currency. This technology is supposed to reduce a lot of financing costs for SMEs on average. Therefore, this research extends complexity theory to discover the factors that affect the use of Blockchain loan systems by SMEs. Complexity, perceived risk, perceived fairness and reward sensitivity prove to have significant effects on usage intention. Complexity proves to have moderating effects on other relationships. This research may contribute to the system performance improvement and provide opportunities for SMEs to share information with financial institutions or individuals around the world, thereby providing investors with equal opportunities for competition.

Background: Reports of recurrence following restructuring of primary giant cell tumor (GCT) defects using polymethyl methacrylate (PMMA) bone cementation or allogeneic bone graft with and without adjuvants for intralesional curettage vary widely. Systematic review and meta-analysis were conducted to investigate efficacy of PMMA bone cementation and allogeneic bone grafting following intralesional curettage for GCT.Methods: Medline, EMBASE, Google Scholar, and Cochrane databases were searched for studies reporting GCT of bone treatment with PMMA cementation and/or bone grafting with or without adjuvant therapy following intralesional curettage of primary GCTs. Pooled risk ratios and 95% confidence intervals (CIs) for local recurrence risks were calculated by fixed-effects methods.Results: Of 1,690 relevant titles, 6 eligible studies (1,293 patients) spanning March 2008 to December 2011 were identified in published data. Treatment outcomes of PMMA-only (n= 374), bone graft-only (n= 436), PMMA with or without adjuvant (PMMA + adjuvant;n= 594), and bone graft filling with or without adjuvant (bone graft + adjuvant;n= 699) were compared. Bone graft-only patients exhibited higher recurrence rates than PMMA-treated patients (RR 2.09, 95% CI (1.64, 2.66), Overall effect: Z = 6.00;P<0.001), and bone graft + adjuvant patients exhibited higher recurrence rates than PMMA + adjuvant patients (RR 1.66, 95% CI (1.21, 2.28), Overall effect: Z = 3.15,P= 0.002).Conclusions: Local recurrence was minimal in PMMA cementation patients, suggesting that PMMA is preferable for routine clinical restructuring in eligible GCT patients. Relationships between tumor characteristics, other modern adjuvants, and recurrence require further exploration.

This study investigates the relationships between abusive supervision and two forms of silence, ineffectual and defensive; the moderating role of self-efficacy in the association between abusive supervision and ineffectual silence and the contingency role of fear in the relationship between abusive supervision and defensive silence. We collected data from 685 employees in manufacturing companies. Of these, 271 were incomplete questionnaires and were excluded from the study; the remaining 414 responses were assessed in the analyses. The results indicate that abusive supervision fosters ineffectual and defensive silence. Moreover, the results suggest that even if supervisors are abusive, individuals with a higher level of self-efficacy tend to have a lower level of ineffectual silence. Furthermore, fear strengthens the link between abusive supervision and defensive silence. According to our knowledge, this work is the first to investigate the relationship between abusive supervision and ineffectual silence, the contingency role of self-efficacy in the link between abusive supervision and ineffectual silence and the moderating role of fear in the relationship between abusive supervision and defensive silence.

Due to sanctions, more Chinese high-tech SMEs are turning to rent AI computing power through cloud service providers. Therefore, it is necessary to give a variety of suggestions for China's high-tech SMEs to better develop AI applications through computing power leasing. Because traditional theories are difficult to explain this new technology adoption behavior, this research combines and extends TTF and UTAUT2 theories to take an empirical research. A total of 387 questionnaires were received, of which incomplete questionnaires and invalid questionnaires were issued, leaving 281 valid questionnaires. The results indicate that SME innovativeness, perceived risk, performance expectancy, price value and task technology fit are all significantly related to usage, whereas task technology fit moderates the other relationships significantly. Results give a variety of suggestions for China's high-tech SMEs to better develop AI applications through computing power leasing in the context of sanctions. This study not only suggests ways to increase the competitiveness of SMEs by optimizing leasing services but also give directions in investors' investment decisions. The findings are also applicable to the large-scale application of China's domestic AI chips in computing power leasing scenarios in the future.

This study is designed to provide strategic inspiration in multinational institutions’ investment behavior in Cambodia. Most factors affecting the investment decisions of South Korean and Chinese institutional investors in Cambodia are investigated based on UTAUT theory. Perceived asset price and perceived asset quality proves to have a significant effect on perceived asset value, whereas perceived financial risk proves to have a significant negative effect on the relationship between perceived asset value and investment decision for the Chinese group, but not for the South Korean group. Facilitating conditions proves to have an important effect in investment decisions for the South Korean group, but not for the Chinese group. Furthermore, perceived asset value, social influence and performance expectancy prove to have a significant effect on investment decisions for both groups. Although both South Korean and Chinese institutional investors are plentiful in Cambodia, the investigation indicates that they maintain symmetry in investment competition due to their different preferences in investment objects and types. The results reinforce major implications in offering a more symmetrical and fair competition environment for both Cambodian regulators and multinational institutions.