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This paper aims to propose a type of T-shaped two-axis force sensor for measuring the forces in x- and z-axes. The developed sensor has a simple structure and can be effectively assembled into compact devices.

A T-shaped plate, with both ends fixed on a base, is used as the substrate of the sensor. Eight strain gauges are placed in the root of the plate or near the sensor head, which can construct two full Wheatstone bridges on the upper and lower surfaces of the plate. When the x- or z-axes forces are applied to the sensor head, different deformation can be generated to the strain gauges. Therefore, the two Wheatstone bridges can be constructed with a different configuration for measuring the forces in x- or z-axes, respectively.

A prototype was designed and constructed and experiments were carried out to test the basic performance of the sensor. It has been verified that the developed sensor could measure the x- and z-axes forces independently with a high resolution of 2.5 and 5 mN, respectively.

Only one thin plate was used in the design, the forces in x- and z-axes could be measured independently and simultaneously, which made the sensor with a simple structure and compact size. Experiments were also verified that there was no crosstalk error occurred in one axis when the force was applied to the other axis.

The purpose of this study is to advance and test a new construct, harmony voice. Furthermore, according to the social influence theory, the relationship between zhongyong, an essential Confucian orientation mode and voice behavior, and the moderating role of coworker’s regulatory focus (promotion focus and prevention focus) has been examined.

A field study has been designed to test our hypotheses. We used samples of 291 employee–coworker dyads from a variety of organizations in China to test this study’s hypotheses.

The results of this empirical study show that zhongyong is positively related to harmony voice. Coworkers’ promotion focus strengthens the positive effect of zhongyong on harmony voice, and coworkers’ prevention focus weakens the positive effect of zhongyong on harmony voice.

Traditionally defined voice and harmony voice might cause different risks to the voicer. However, how and what kinds of risks may be differently caused by these two types of voice behaviors have not been examined in this study. Future empirical research can explore the different effects of traditionally defined voice and harmony voice.

Managers responsible for managing Chinese employees should notice the difference in some important ways of thinking between Easterners and Westerners. Specifically, zhongyong may direct people to express issues related to work in ways that are different from those of their Western counterparts. Harmony voice can benefit the Chinese organization without disrupting organizational development.

By examining the relationship between zhongyong and harmony voice, we contribute to identifying antecedents of voice by using an emic research perspective.

We made significant theoretical contributions to voice literature. We developed the construct of harmony voice, and we examined the relationship between zhongyong and voice.

The objective of this work is to demonstrate the relationships between the two main processes of research and development (R&D) activities: the knowledge generation phase (KPP) and the knowledge commercialization, or transfer, phase (KCP), in a sector that is intensive in this type of activity, such as the pharmaceutical sector. In addition, within the framework of the general objective of this work, the authors propose two other objectives: (1) make advances in network efficiency measurement models, and (2) determine the factors associated with efficiency in the KPP and in the KCP in companies of the pharmaceutical sector in Spain.

A Network Data Envelopment Analysis (NDEA) model (Färe and Grosskopf, 2000) with categorical variables (Lee et al., 2020; Yeh and Chang, 2020) has been applied, and a sensitivity analysis of the obtained results has been performed through a DEA model of categorical variables, in accordance with the work of Banker and Morey (1986), to corroborate the results of the proposed model. The sample is made up of 77 companies in the pharmaceutical sector in Spain.

The results obtained point to a greater efficiency of pharmaceutical companies in the KPP, rather than in the KCP. Furthermore, the study finds that 1) alliances between companies have been the accelerating factors of efficiency in the KCP (but patents have slowed this down the most); 2) the quality of R&D and the number of R&D personnel are the factors that most affect efficiency in the KPP; and 3) the quality of R&D again, the benefits obtained and the position in the market are the factors that most affect efficiency in the KCP.

The authors have not found studies that show whether the efficiency obtained by R&D-intensive companies in the KPP phase is related to better results in terms of efficiency in the KCP phase. No papers have been found that analyse the role of alliances between R&D-intensive companies and patents, as agents that facilitate efficiency in the KCP phase, covering the gap in the research on both problems. Notwithstanding, this work opens up a research path which is related to the improvement of network efficiency models (since it includes categorical variables) and the assessment of the opinions of those who are responsible for R&D departments; it can be applied to decision-making on the aspects to improve efficiency in R&D-intensive companies.

A little-known “lottery fever” has spread to many parts of rural China over the past 10 years. This is driven by participation in underground lotteries with local bookies. It is called liuhecai, which is the name of the Hong Kong lottery, and is based on guessing the bonus number of the Hong Kong Mark Six lottery. Such lotteries are illegal, but are an open secret. This chapter seeks to understand the meaning of this apparently irrational lottery fever: why people participate in it, why they believe the conspiracy theory that it is rigged (and yet still participate), and why similar lotteries have emerged in both capitalist Taiwan and post-socialist China at this particular time.

The purpose of this paper is to present a discrete quantitative trading strategy to directly control a portfolio's maximum percentage of drawdown losses while trying to maximize the portfolio's long‐term growth rate.

The loss control target is defined through a Rolling Economic Drawdown (REDD) with a constant look‐back time window. The authors specify risk aversion in the power‐law portfolio wealth utility function as the complement of maximum percentage loss limit and assume long‐term stable Sharpe ratios for asset class indexes while updating volatility estimation in dynamic asset allocation implementation.

Over a test period of the past 20 years (1992‐2011), a risk‐based out‐of‐sample dynamic asset allocation among three broad based indexes (equity, fixed income and commodities) and a risk free asset, is robust against variations in capital market expectation inputs, and out‐performs the in‐the‐sample calibrated model and traditional asset allocation significantly.

The current proposal can lead to a new mathematical framework for portfolio selection. Besides investors' liquidity and behavioural constraints, macroeconomic and market cycle, and the potential of central bank interventions following a market crash, could be additionally considered for a more rigorous dynamic asset allocation model.

Besides the benefit of a clear mandate to construct suitable client portfolios, the portfolio approach can be applied to design invest‐able securities, such as principal‐guaranteed investment products, target risk asset allocation ETFs, and target‐date mutual funds with a glide path, etc. The formulation can also be implemented as a managed futures hedge fund portfolio.

The paper introduces the Rolling Economic Drawdown (REDD) concept and specifies risk aversion as the floor of maximum percentage loss tolerance. Dynamic asset allocation is implemented through updating estimation of asset class volatilities.

In the digital economy, what are the strategies of multinationals from developed countries and emerging markets? How do regulations in the home country affect their growth? Recent digital multinationals in diverse national and institutional contexts raise questions that require new approaches in international business (IB) studies. This chapter examines two leading firms in the global e-commerce industry: Amazon and Alibaba. We compare their digital capabilities and physical asset-building strategies over the past two decades and we connect the Internet governance environment in the United States and China with their business models and internationalization patterns. We argue that despite the platform and global nature of Amazon’s and Alibaba’s activities, the recent moves of governments across the world to regulate Internet governance poses an important challenge for digital multinationals. This research features a comparative analysis of two prominent digital multinationals and identifies a promising area for future IB strategy studies.

This study aims to examine the impact of cultural familiarity with images on the memorability of recognition-based graphical password (RBG-P).

The researchers used a between-group design with two groups of 50 participants from China and the Kingdom of Saudi Arabia, using a webtool and two questionnaires to test two hypotheses in a four-week long study.

The results showed that culture has significant effects on RBG-P memorability, including both recognition and recall of images. It was also found that the login success rate depreciated quickly as time progressed, which indicates the memory decay and its effects on the visual memory.

Collectively, these results can be used to design universal RBG-Ps with maximal password deflection points. For better cross-cultural designs, designers must allow users from different cultures to personalize their image selections based on their own cultures.

The RBG-P interfaces developed without consideration for users’ cultures may lead to the construction of passwords that are difficult to memorize and easy to attack. Thus, the incorporation of cultural images is indispensable for improving the authentication posture.

The development of RBG-P with cultural considerations will make it easy for the user population to remember the password and make it more expensive for the intruder to attack.

This study provides an insight for RBG-P developers to produce a graphical password platform that increases the memorability factor.

Businesses have a vast interaction and communication network within economic, sectoral, legal, and cyber systems. This business network shapes their relationships with other businesses which are their stakeholders. Advances and innovations in the digital world are utilized as a tool of conflict for excessive and unfair competition, market penetration, internationalization, sustainability, or having a strategic edge over rivals. Concepts popularized by the pandemic such as virtualization, virtual markets, social media, virtual advertising, and other cyber/digital factors have accelerated and intensified competition between businesses. Within this process, businesses experience intense conflicts stemming from such competition. This would impact businesses' strategies aimed at conflict in the postpandemic period. After the pandemic, businesses can implement strategies of cooperation, show of force, compromise, avoidance, and problem-solving in conflicts. Businesses can also adopt increasing performance and productivity, resolving problems as quickly as possible, developing mutual relationships with other businesses and establishing an environment of trust as principles in a conflict.

A novel asynchronous network-based model is proposed in this paper for the sentiment analysis of online public opinions. This new model provides a new approach to analyze the evolution characteristics of online public opinion sentiments in complex environment.

Firstly, a new sentiment analysis model is proposed based on the asynchronous network theory. Then the graphical evaluation and review technique is employed and extended to design the model-based sentiment analysis algorithms. Finally, simulations and real-world case studies are given to show the effectiveness of the proposed model.

The dynamics of online public opinion sentiments are determined by both personal preferences to certain topics and the complex interactive influences of environmental factors. The application of appropriate quantitative models can improve the prediction of public opinion sentiment.

The proposed model-based algorithms provide simple but effective ways to explore the complex dynamics of online public opinions. Case studies highlight the role of government agencies in shaping sentiments of public opinions on social topics.

This paper proposes a new asynchronous network model for the dynamic sentiment analysis of online public opinions. It extends the previous static models and provides a new way to extract opinion evolution patterns in complex environment. Applications of the proposed model provide some new insights into the online public opinion management.