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The purpose of this paper is to investigate how perceived usability and user characteristics influence the intention to use a crowdsourcing application for finding potentially trafficked children. As part of this effort, the authors also attempt to uncover the usability concerns surrounding the use of this application.

The authors first describe Zhongxun, which is the application used in the present paper. Next, they conducted a survey eliciting usability perceptions of Zhongxun. A total of 287 participants were recruited for the survey which used constructs adapted from the Computer System Usability Questionnaire as well as various demographic variables. Hierarchical regression analysis was used to ascertain factors influencing intention to use Zhongxun. Participants' qualitative feedback was also analyzed to derive themes pertaining to areas of improvement.

The results showed that system usefulness was the factor that most positively influenced intention to use Zhongxun, followed by information quality and interface quality. Interestingly, a higher level of education was negatively associated with intention to use the application. Qualitative feedback suggested various ways of improving Zhongxun's functionality. Participants recommended the incorporation of gamification mechanisms as a new feature of the application. Cultivating awareness of Zhongxun was also suggested as a means to attract new users.

The work can help inform the design of crowdsourcing applications for finding missing and potentially trafficked children, as well as similar systems. Implications include the need for simplicity of design, communication strategies to attract new and retain existing users, and instilling confidence in the quality of crowdsourced contributions.

Prior research in evaluating the usability of crowdsourcing applications has been performed but not in the context of finding missing and potentially trafficked children. The task of finding such children is markedly different from previous usage contexts and could impact perceptions of usability and usefulness. Hence, the present study attempts to plug this research gap.

In this study, an indoor sensor information fusion positioning system of the quadrotor unmanned aerial vehicle (UAV) was investigated to solve the problem of unstable indoor flight positioning.

The presented system was built on Light Detection and Ranging (LiDAR), Inertial Measurement Unit (IMU) and LiDAR-Lite devices. Based on this, one can obtain the aircraft's current attitude and the position vector relative to the target and control the attitudes and positions of the UAV to reach the specified target positions. While building a UAV positioning model relative to the target for indoor positioning scenarios under limited Global Navigation Satellite Systems (GNSS), the system detects the environment through the NVIDIA Jetson TX2 (Transmit Data) peripheral sensor, obtains the current attitude and the position vector of the UAV, packs the data in the format and delivers it to the flight controller. Then the flight controller controls the UAV by calculating the posture to reach the specified target position.

The authors used two systems in the experiment. The first is the proposed UAV, and the other is the Vicon system, our reference system for comparison purposes. Vicon positioning error can be considered lower than 2 mm from low to high-speed experiments. After comparison, experimental results demonstrated that the system could fully meet the requirements (less than 50 mm) in real-time positioning of the indoor quadrotor UAV flight. It verifies the accuracy and robustness of the proposed method compared with that of Vicon and achieves the aim of a stable indoor flight preliminarily.

Vicon positioning error can be considered lower than 2 mm from low to high-speed experiments. After comparison, experimental results demonstrated that the system could fully meet the requirements (less than 50 mm) in real-time positioning of the indoor quadrotor UAV flight. It verifies the accuracy and robustness of the proposed method compared with that of Vicon and achieves the aim of a stable indoor flight preliminarily.

From the sixteenth to eighteenth century, China underwent a commercial revolution similar to the one in contemporaneous Europe. The rise of market did foster the rise of a nascent bourgeois and the concomitant rise of a liberal, populist version of Confucianism, which advocated a more decentralized and less authoritarian political system in the last few decades of the Ming dynasty (1368–1644). But after the collapse of the Ming Empire and the establishment of the Qing Empire (1644–1911) by the Manchu conquerors, the new rulers designated the late-Ming liberal ideologies as heretics, and they resurrected the most conservative form of Confucianism as the political orthodoxy. Under the principle of filial piety given by this orthodoxy, the whole empire was imagined as a fictitious family with the emperor as the grand patriarch and the civil bureaucrats and subjects as children or grandchildren. Under the highly centralized administrative and communicative apparatus of the Qing state, this ideology of the fictitious patrimonial state penetrated into the lowest level of the society. The subsequent paternalist, authoritarian, and moralizing politics of the Qing state contributed to China’s nontransition to capitalism despite its advanced market economy, and helped explain the peculiar form and trajectory of China’s popular contention in the eighteenth century. I also argue that this tradition of fictitious patrimonial politics continued to shape the state-making processes in twentieth-century China and beyond.

m-health services for different age groups are becoming an emerging field in the health-care industry, especially in low-resource environments such as developing countries such as Bangladesh. Hence, this study’s primary aim is to identify the factors that influence the middle-aged and elderly’s intention to use m-health services.

This study applied the extended version of the unified theory of acceptance and use of technology to explore middle-aged and elderly’s intention to use m-health services. There were 235 respondents, of which 123 (52.34%) were in the middle-aged group, whereas 112 (47.66%) were in the older group. Both groups were found to have more male participants than female participants. The partial least square (PLS) method was used to analyze data.

The study found that performance expectancy, effort expectancy, facilitating condition, technological anxiety and resistance to change (p < 0.05) had a significant influence on middle-aged intention to use m-health services. Social influence and perceived physical condition (p > 0.05) had no significant effect on middle-aged intention to use m-health services. On the other hand, performance expectancy, effort expectancy, facilitating condition and resistance to change (p <* 0.05) significantly influenced the elderly’s intention to use m-health services. However, the social impact of perceived physical condition and technological anxiety (p > 0.05) had no significant effect on the elderly’s intention to use m-health services.

A good number of studies are available in the current literature, examining the factors adoption of m-health services in both developed and developing economy context. However, very few studies examine the factors that influence behavioral intention to use m-health services concerning the two different age groups, such as middle-aged and elderly. Moreover, to the best of the authors’ knowledge, there is a shortage of literature on this topic built on the comparative analysis between the two age groups.

The purpose of this paper is to improve the customer satisfaction by offering online personalized recommendation system.

By employing an innovative associative classification method, this paper is able to predict a customer’s pleasure during the online while-recommending process. Consumers can make an active decision to recommended products. Based on customer’s characteristics, a product will be recommended to the potential buyer if the model predicts that he/she will click to view the product. That is, he/she is satisfied with the recommended product. Finally, the feasibility of the proposed recommendation system is validated through a Taobao shop.

The results of the experimental study clearly show that the online personalized recommendation system maximizes the customer’s satisfaction during the online while-recommending process based on an innovative associative classification method on the basis of consumer initiative decision.

Conventionally, customers are considered as passive recipients of the recommendation system. However, customers are tired of the recommendation system, and they can do nothing sometimes. This paper designs a new recommendation system on the basis of consumer initiative decision. The proposed recommendation system maximizes the customer’s satisfaction during the online while-recommending process.

The purpose of this paper is to relate the problems identified about scholarly journal publishing in Malaysia to establish motivation for the system development; to describe the design of MyCite, a Malaysian citation indexing system and to highlight the added value to journals and articles indexed through the generation of bibliometrics performance reports.

The system uses a rapid prototyping method, modeling the functions identified in the Web of Science databases and Scopus, as the Ministry of Higher Education Malaysia requires the system to be ready within a year, mainly to help improve the quality, accessibility and performance of Malaysian scholarly journals.

The paper shows the relational tables and module functions in MyCite; highlights the value added to bibliographic data through performance reports of authors, journals, institutions, country and bibliographical control of Malaysian journals; and provides performance tables of top authors, rank list of 75 journals by yearly impact factor, and other bibliometric indices.

The paper highlight the problems in gaining access to full contents of journals, authors' adoption of variant names, and the vast variations in referencing style adopted by publishers, which may result in inaccurate counting and lost citations.

The strength of MyCite is in its reference editor module, which is a programme that segments article references into manageable chunks that helps speed up the data preparation for citation counting. MyCite improves the availability and visibility of Malaysian journals, enriches national research content, and provides better knowledge of national research outputs funded by universities and research institutions.

Through examining the development of the video compact disc player industry in China, this article aims to explore the main characteristics of world‐first innovation and identify four success factors for innovation followers to launch world‐first products in catching‐up countries.

This article takes the form of a case study

The main characteristics of world‐first innovation in catching‐up countries include: from the demand side, innovation is mainly pulled by the local market, rather than technology‐push; from the supply side, innovation cannot isolate itself from the rest of the world – suppliers of key technologies in advanced countries play an important role; inter‐firm alliances are an increasingly important way to generate world‐first innovation; and downstream integration capabilities are required for followers to mix pieces of technologies together at competitive pricing. The success of followers from catching‐up countries to launch world‐first products hinges on the four critical factors: strengths of complementary assets; figuring out ways to meet local market demand without relying on large R&D spending; emphasizing untapped innovation opportunities by multinationals; and positioning themselves on the proper points of the globally coordinated network for innovation.

This article identifies the main characteristics of world‐first innovation and points out four success factors for innovation followers to launch world‐first products, which could be significant to managers in catching‐up countries. Findings of this paper are more relevant to large catching‐up countries such as India, Brazil, Mexico and Indonesia where a large domestic market could serve as important launch markets for the world‐first innovation.

This paper focuses on assembly line performance of an automotive body shop that builds body‐in‐white (BIW) assembly utilizing about 700+ process robots. These robots perform various operations such as welding, sealing, part handling, stud welding and inspection. There is no accurate tool available for the plant personnel to predict the future throughput based on plant's data. The purpose of this paper is to provide future throughput performance prediction based on plant data using Box‐Jenkins' ARMA model.

The following data were collected for five major assembly lines. First, the assembly machine‐in‐cycle time: the assembly line machines include robots that perform various functions like load, welding or sealing and unloading parts; the manual operators loading cycle time to the production fixtures. The conveyors act as buffers in between stations, and also feed to the production cells, and carry parts from station to station. The conveyors' downtime and uptime were also part of the machine‐in‐cycle time; second, the number of units produced from the beginning to the end of the assembly line; third, the number of fault occurrences in the assembly line due to various machine breakdowns; fourth, the machine availability percentage – i.e. the machine is readily available to perform its functions (the machine blocked upstream (starving) and blocked down (downstream) state is considered here); fifth, the actual efficiency of the machine measured in percentage based on output percentage; sixth, the expected number of units at designed efficiency.

In summary, this research paper provided a systematic development of a forecast model based on Box‐Jenkin's ARMA methodology to analyze the complex assembly line process performance data. The developed ARMA forecast models proved that the future prediction can be accurately predicted based on the past plant performance data. The developed ARMA forecast models predicted the future throughput performance within 99.52 percent accuracy. The research findings were validated by the actual plant performance data.

In this study, the automotive assembly process machines (robots, conveyors and fixtures) production data were collected, statistically analyzed and verified for viable ARMA model verification. The verified ARMA model has been used to predict the plant future months' throughput with 99.52 percent accuracy, based on the plant production data. This research is unique because of its practical usage to improve production.

The speedy development of information technology (IT) is indeed a significant issue to support the enterprises to spread their products and services to their customers. Although the adoption of IT in the enterprises can help employees' work, it will increase their work exhaustion and job burnout too.

The survey data of this study was collected from Chinese IT personnel (ITP): 543 and Chinese information systems (IS)/IT users: 525, totaling 1,068 respondents.

The result shows that the influences of the organizational factors and guanxi on the work exhaustion are different between Chinese ITP and IS/IT users in the research model. Also the implications of the study are discussed and made some contribution to the research and management practice.

By comparison between the Chinese ITP and IS/IT users, this study shows that guanxi can be antecedent factor to some organizational factors, and the organizational factors guanxi have had a different effect on the work exhaustion of Chinese ITP and IS/IT users. Given that the critical successes to the organizations, management should focus on what direction to reduce Chinese ITP and IS/IT users work exhaustion.