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The purpose of this paper is to introduce a low-cost quadrotor that can be used for educational purposes and investigate the applicability of a low-cost MEMS laser sensor for accurate altitude control.

A single printed circuit board is designed to form the structure of the quadrotor. A low-cost MEMS motion sensor, a microcontroller and four small motors are mounted on the board. A separate laser sensor module measures the altitude. A remote controller is designed to control the quadrotor’s motion. The remote controller communicates with the quadrotor via wireless connection. Roll and pitch attitude stabilization is achieved using the proportional and derivative control algorithm. The applicability of an MEMS laser sensor for altitude control is also studied.

The low-cost quadrotor works well even though its body structure is made using a printed circuit board. Low pass and Kalman filters work well for attitude estimation and control application. The laser sensor is very accurate and good for altitude feedback; however, it has a relatively short measurement range and its sampling rate is relatively slow, which limits its applications. The vertical velocity obtained by differentiating the laser altitude has delay and inhibits suitable damping. Using the vertical velocity obtained by integrating the vertical accelerometer’s output, the damping performance is improved.

Developing a low-cost quadrotor that can be used for educational purposes and successfully implementing altitude control using a laser sensor and accelerometer.

Using the large database of patent, the purpose of this paper is to structure a technology convergence network using various patent network analysis for integrating different results according to network characteristics.

The patent co-class analysis and the patent citation analysis are applied to discover core safety fields and technology, respectively. In specific, three types of network analysis, which are centrality analysis, association rule mining analysis and brokerage network analysis, are applied to measure the individual, synergy and group intensity.

The core safety fields derived from three types of network analysis used by different nature of data algorithms are compared with each other to understand distinctive meaning of cores of patent class such as medical safety, working safety and vehicle safety, differentiating network structure. Also, to be specific, the authors find the detailed technology contained in the core patent class using patent citation network analysis.

The results provide meaningful implications to various stakeholders in organization: safety management, safety engineering and safety policy. The multiple patent network enables safety manager to identify core safety convergence fields and safety engineers to develop new safety technology. Also, in the view of technology convergence, the strategy of safety policy can be expanded to collaboration and open innovation.

This is the initial study on applying various network analysis algorithms based on patent data (class and citation) for safety management. Through comparison among network analysis techniques, the different results are identified and the collective decision making on finding core of safety technology convergence is supported. The decision maker can obtain the various perspectives of tracing technology convergence.

This study aims to investigate three organizational-level factors (geographical proximity, technological similarity and organizational identity integration) that influence the likelihood of post-mergers and acquisition (M&A) joint knowledge creation between inventors from the target and acquiring firms.

Analyzing post-M&A joint patent filing activities from 136 M&A deals in high-tech industries, the authors conduct a zero-inflated negative binomial regression analysis to estimate the likelihood of joint knowledge creation.

The results indicate that close geographical proximity and technological similarity are positively associated, whereas the integration of organizational identity is negatively associated with post-M&A joint knowledge creation.

Managers searching for an ideal acquisition target firm for joint production of new technologies or products should consider factors such as location, prior knowledge base and post-acquisition integration strategies.

The proposed model is a comprehensive framework that considers physical, cognitive and identity dimensions as antecedents of post-M&A joint knowledge creation. This study analyzes joint patenting activities to measure post-M&A joint knowledge creation between target and acquiring firm inventors.

People living on poverty-level incomes in developing nations face unique health challenges as compared to those in developed nations. New insights emerge from a bottom of the pyramid context (India) where culture-based health notions, preventive orientation and health resources differ from developed western health orientations and resources. The purpose of this paper is to explore how structural and cognitive social capital indirectly influence preventive health behavior (PHB) through perceived health value.

The participants for this study include rural people from Tamil Nadu, a state of India who are classified as those living below poverty level based on a per capita/per day consumption expenditure of Rupees 22.50 (an equivalent of US$0.40 a per capita/per day) (Planning Commission, Government of India, 2012). The study included a total number of 635 participants (312 males and 323 females). Relatively a high response rate (79 percent) was achieved through personal contacts and telephone solicitation, cash incentive and multiple follow-ups. Participants completed a questionnaire assessing structural and cognitive social capital, preventative health behavior, perceived health value, and health locus of control (HLC).

The results show that perceived health value mediates the relationship between cognitive social capital and PHB. Specifically, cognitive social capital influences BoP people’s assessment of benefits of engaging in PHB, that, in turn, influences PHB. In addition, the findings showed that HLC moderates the effect of social capital on PHB. Social capital positively related to enhanced PHB only among those who believe that health outcomes are controllable.

The authors findings indicate that cognitive social capital has enormous potential in promoting health intervention and the health of poor communities, a sentiment shared by prior researchers (Glenane-Antoniadis et al., 2003; Fisher et al., 2004; Martin et al., 2004; Weitzman and Kawachi, 2000). Overall, from a theoretical, empirical and methodological perspective, the current study offers a unique contribution to the social capital and PHB literature. First, drawing from the HBM and HLC, the findings provide a more nuanced explanation of how distinct aspects of social capital predict PHB. Specifically, the relationship between social capital and PHB is qualified by the extent one perceives personal control over her health. In addition, the cognitive component of social capital influences PHB through perceptions of health value.

The purpose of this paper is to identify and understand the dynamics among perceptual gap of work environment between a supervisor and subordinates; personal psychological capital; self-directed behavior in a non-Western manufacturing work context.

This study investigated 288 dyadic relationships between supervisors and subordinates from 43 technical teams that came from six different large automotive part manufacturing companies in South Korea. Sobel test technique was mainly used to examine the effects of the perceptual difference of work environment.

The results indicated that the supervisor’s perceptual gap of work environment from subordinates had a negative association with their self-directed behavior, B = 0.233, SE = 0.103, p = 0.023. On the other hand, the negative effect of supervisor’s perceptual gap showed the competitive mediation effect through an indirect path to the positive psychological capital (PsyCap), Sobel B = 0.126, SE = 0.061, p = 0.037. This finding showed that providing a high level of autonomous work environment is not sufficient to get employees to show a high level of self-directed behavior if the perceptual gap is not well managed.

Adding to the existing research that studies self-directed behavior or proactive behavior in the Western high-tech or service work context, this study extended our understanding about the impact of the perceptual gap of work environment in the hierarchical and highly standardized non-Western manufacturing context.

For a nation to become a superpower, it's scientific and technological advancement is essential. Each country is exploring how to improve themselves in terms of science and technology. The authors analyzed the innovation capabilities of 35 OECD countries that have not recently joined Lithuania.

In recent years, a lot of research work has been done on trapezoidal interval type-2 fuzzy sets (TIT-2 FS), and many research works have been published. The trapezoidal interval type-2 fuzzy set helps effectively to represent the uncertainty comparatively than the type-1 fuzzy set. Taking advantage of this effectiveness, the authors extend the best multi-criteria decision making method (MCDM) for trapezoidal interval type-2 fuzzy sets. Here, ELimination and Choice Expressing REality III (ELECTRE III) method in the trapezoidal interval type-2 fuzzy set environment is proposed.

This analysis helps to the OECD countries to develop their level of innovation in the criteria. The authors are making this evaluation for the year 2018 based on the 31 criteria. Application of the proposed method expressed by evaluation of the national innovation capability problem. Based on the obtained results, the top five countries are United States, Switzerland, Canada, Germany and Japan.

The authors collected required data from different available data sources like OECD, IMD, USPTO, ITU and surveyed data reported by KISTEP. After collecting all the data from different sources, the authors calculated the standard values as KISTEP. After converting the standard values into trapezoidal interval type-2 fuzzy values, the authors construct a decision matrix based on these values. Then, the authors determined the possibility mean values and preference. Then, they calculated the concordance and discordance credibility degree values. Finally, they ranked OECD countries by the net credibility degree. The results are computed by using the MATLAB software.

The purpose of this paper is to examine the relationship between change in organizational identity and knowledge creation of mobile research and development (R&D) workers by combining the literature on human mobility and mergers and acquisitions (M&As).

Negative binomial regression was used to test the hypotheses, based on knowledge creation of 410 mobile R&D workers in 75 high-technology M&As.

The findings showed that while a change in organizational identity after M&As decreased the knowledge creation by R&D workers who moved before M&As, a higher degree of human capital in mobile R&D workers could increase knowledge creation after M&As. A moderating effect of the change in organizational identity on the relationship between knowledge creation and human capital of mobile R&D workers was also found.

This paper augmented the research opportunity on the organizational change and knowledge creation during an M&A by combining study of individual-level human mobility during firm-level M&As, suggesting change in organizational identity affects knowledge creation of mobile R&D workers. A limitation of this study is the focus of human capital accumulated in the prior company before movement.

The study suggests that managers intending to acquire knowledge through human mobility and M&As must implement post-mergers activities such as structural integration with care.

Much of the literature on human mobility has focused on knowledge creation after movement, regardless of the changes that may occur in of focal dyadic companies during M&As. The paper might be one of the first studies of knowledge creation of mobile R&D workers within the context of M&As.