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To solve problems of low intelligence and poor robustness of traditional navigation systems, the purpose of this paper is to propose a brain-inspired localization method of the unmanned aerial vehicle (UAV).

First, the yaw angle of the UAV is obtained by modeling head direction cells with one-dimension continuous attractor neural network (1 D-CANN) and then inputs into 3D grid cells. After that, the motion information of the UAV is encoded as the firing of 3 D grid cells using 3 D-CANN. Finally, the current position of the UAV can be decoded from the neuron firing through the period-adic method.

Simulation results suggest that continuous yaw and position information can be generated from the conjunctive model of head direction cells and grid cells.

The proposed period-adic cell decoding method can provide a UAV with the 3 D position, which is more intelligent and robust than traditional navigation methods.

With the improvement of consumers' health consciousness, healthy food has attracted great attention in daily consumption. Previous research into the sense of power often distinguishes it into high and low level, ignoring the impact of different construal of power on consumption behaviors. This article divides power into dual construal (responsibility vs opportunity) and aims to examine the differential impacts of the construal of power on healthy food preference.

Two pretests and three formal experiments were conducted to examine the effect of the construal of power on the consumer's healthy food preference, the mediation of self-discipline perception and the moderation of the relative strength of prevention over promotion focus (i.e. RSPPF).

Results indicate that individuals who construe power as responsibility (vs opportunity) exhibit higher self-discipline perception, which in turn leads to greater healthy food preference. However, the main effect above can be weakened among the low-power group. Moreover, the above mediating effect of self-discipline perception is stronger for individuals with higher RSPPF.

First, based on the binary-construal perspective, this study refines the classification of high power and introduces it into the antecedent research of healthy food preference. Second, this paper reveals the self-discipline perception as the inner mechanism underlying the effect of the construal of power on healthy food preference, while RSPPF as the boundary condition for this mediating mechanism. Moreover, this research also provides practical implications for healthy food enterprises that the construal of power, self-discipline perception and regulatory focus should be taken into consideration in advertising design and healthy product promotion.

This paper aims to study the lubrication and sealing performance on the textured piston pair under the cross action of the shape and structure parameters. This paper further carries out the optimization design of low energy consumption hydraulic impact piston pair.

Based on the characteristics of the ring gap seal piston pair, the flow field analysis model of the whole film gap is established for its periodic treatment. The friction power loss of the piston pair is defined as the evaluation index of the lubrication performance and the leakage power loss as the evaluation index of the sealing performance. The orthogonal test design and CFD software were used to analyze the lubrication and sealing performance of the textured piston pair.

The cross action of shape and structure factors has a great influence of the lubrication and sealing performance on the textured piston pair. Clearance and shape parameters have great influence on it, while seal length and depth diameter ratio have little influence. The sealing performance of conical textured piston pair is good, while the lubrication performance of square textured piston pair is good. The primary and secondary order of influence of shape and structure on energy consumption on piston pair is B (seal clearance) > C (texture shape) > D (area ratio) > A (seal length) > E (depth diameter ratio).

Breaking the defect of local optimization design on traditional piston pair structure, then find the matching relationship of structural parameters on textured piston pair. Further improve the lubrication and sealing performance of the piston pair, and provide reference for the global optimization design of the low energy consumption hydraulic impact piston pair.

The purpose of this paper is to analyze the effect of internal control on tax avoidance analyzing internal (family ownership) and external (environmental uncertainty) factors on the effectiveness of internal control in preventing tax avoidance.

First, the authors examine the direct effect of the effectiveness of internal control on tax avoidance. Second, the authors examine the effect of moderation of family ownership and environmental uncertainty on the relationship of the effectiveness of internal control on tax avoidance. Third, the authors divide the full sample into two groups, high and less effectiveness of internal control to examine the direct effect of internal control effectiveness on tax avoidance and when considering moderating variables. Fourth, the authors use two different measures of the effectiveness of internal control.

This research found that effective internal control can reduce tax avoidance. Family ownership affects the relationship between internal control and tax avoidance, but environmental uncertainty does not influence the relationship between internal control and tax avoidance.

Internal control increases compliance with rules and policies, so companies must design and implement effective internal control to prevent tax avoidance activities in violation of tax regulations.

In contrast to previous studies, this study measures the effectiveness of internal control using the index of internal control practice disclosure and considers internal and external factors that can affect the effectiveness of internal control to prevent tax avoidance.

The purpose of this paper is to identify the contributions of information systems (IS) for the evolutionary process of corporate environmental management by highlighting implications for big data research.

The authors conducted two case studies with Brazilian enterprises certified by ISO 14001, by conducting interviews, document analysis and direct observation. Implications for a research agenda on big data are also presented.

As results, the authors present the identification of the main contributions of IS for the evolution of environmental management in the studied cases. The authors found that advanced stage regarding IS may be considered a factor that implies a more effective environmental management.

The main contribution of this research consists of the presentation of a framework that identifies the support of IS for corporate environmental practices. By confirming the relation between IS and maturity levels of environmental management, the authors highlight that application of big data has the potential of boosting the relation between IS and corporate environmental management.

This research aimed to analyze the causality between the four perspectives in the balanced scorecard (BSC) performance and to analyze the different performance of the four perspectives for the two group schools studied.

Quantitative data were processed using Smart PLS 0.3 and an independent sample t-test. Qualitative data collected using open questionnaires on performance achievement strategies and constraints were analyzed using the Leximancer 4.51.

Results showed that innovation and learning performance influenced financial performance and internal business performance. However, innovation and learning performance did not affect customer satisfaction performance. Internal business performance affected financial performance. However, internal business performance did not influence customer satisfaction performance. Customer satisfaction performance did not influence financial performance. Customer satisfaction performance did not mediate the relationship between innovation and learning performance and financial performance. Internal business performance mediated the relationship between innovation and learning performance and financial performance. The two school groups exhibited differing innovation and learning performance, with no difference for the other three perspectives.

The implication of the study is the necessity to create synergy between all parties (school and authorities) to optimize school performance. Improvement in financial performance, especially related to transparency and accountability, will help to improve stakeholders' trust in schools. The government can use the BSC to evaluate public school performance to achieve comprehensive assessment results.

The use of the four perspectives in the BSC performance since public schools in Indonesia have never implemented it.

Physician satisfaction (PHS) in the pharmaceutical business is a major issue that has created serious concerns for pharmaceutical companies and medical practitioners. The purpose of this paper is to explore the mediation effect of physician perceived value (PPV) on the relationship between marketing mix strategy (MMS) and PHS in the pharmaceutical industry in Yemen.

A non-probability purposive sample of 500 physicians was surveyed by using a self-administered questionnaire. Out of the 500 questionnaires, only 192 surveys were returned. Consequently, only 170 questionnaires were usable for the final analysis, with a 34 percent usable response rate. Several statistical techniques were performed including reliability, factor analysis, multiple regressions analysis, and hierarchical regressions to examine the mediation effect of the PPV.

The results showed that MMS elements, namely, product, price, promotion, and place, significantly contributed to PHS. The results also indicated that MMS elements, namely, price, place, and promotion, significantly contributed to PPV, whereas product showed an insignificant contribution. The PPV significantly contributed to PHS. Hierarchical regression results indicated that PPV partially mediated the relationship among MMS elements, namely, price, place, promotion, and PHS. Product variable was excluded in hierarchical analyses because the variable was insignificant to PPV.

This paper is the first to deal with perceived value as a mediating variable between elements of MMS (4Ps) for drug product and PHS in the context pharmaceutical business.

This study aims to evaluate the relationship between organizational learning (OL) culture (OLC) and innovation. This study also aims to determine the patterns by which the concepts of OLC/learning organization (LO)/OL and OL capability are interrelated and have an impact on innovation.

This study emphasized the analysis of 42 literature reviews, which contained the variables of OLC/LO/OL and innovation.

A holistic perception of OLC/LO/OL and its relationship with the constructs of innovation was provided. In this case, more reports emphasized the indirect correlation of OLC with innovation, through intervening variables. This indicated that OLC enabled innovation through several internal and external aspects, as well as balancing between flexibility and control in promoting OLC. As part of the OL process, information, acquisition, distribution, interpretation and dissemination were also consistently related to innovation, which escalated the company's ability in becoming an LO. This proved that a group of employees needs to share a similar belief in promoting work unit innovation, because of the importance of continuous formal and informal learning in a well-structured internal organization system. In this case, external factors need to be highly considered, including competitors and clients.

This study is among the earliest to review the literature about the relationship between OLC and innovation. This study also provides recommendations for enhancing OLC in promoting innovation.

The purpose of this paper is to outline the evolution of research on airport service quality and measurement index of passenger satisfaction to explore opportunities for future research direction.

A systematic literature review was conducted involving a total final sample 27 articles published during 2000–2020, the source of the database used in this study is Emerald, ScienceDirect, Harzing's Publish or Perish with API Key based on set of inclusion/exclusion criteria for analysis and synthesis to meet the purpose of the paper.

Dimensions of measuring airport service quality are currently based on a process approach. There are eight dimensions of ASQ measurement practiced by the industry, which is different from the five dimensions of service quality measurement generally. There is still a theoretical and empirical gap, so one of the challenges in applying the ASQ measurement dimensions is bridging research with applications in the airport industry. Other findings, research on airport service quality measurement is currently focused on passenger satisfaction. The integration of expectation-disconfirmation theory and service profit chain models can be used in service quality, passenger satisfaction and profitability.

This paper seeks to contribute to and analyze limited articles on service quality at airports and identify further research areas.

This paper tries to explain the development of research on the dimensions of measuring service quality at airports. The author identifies a gap in airport service quality measurement dimensions used by researchers and the industry. The author believes that this study can provide a comprehensive thought on using airport service quality measurement dimensions for future research.

The purpose of this paper is to investigate the effects of Big Data analytics, data security and service supply chain innovation capabilities on services supply chain performance.

The paper draws on the relational view of resource-based theory to propose a theoretical model. The data were collected through survey of 145 service firms.

The results of this study found that the Big Data analytics has a positive and significant relationship with a firm’s ability to manage data security and a positive impact on service supply chain innovation capabilities and service supply chain performance. This study also found that most service firms participating in this study used Big Data analytics to execute existing algorithms faster with larger data sets.

A main recommendation of this study is that service firms empower a chief data officer to establish the data needed and design the governance of data in the company to eliminate any security issues. Data security was a concern if a firm did not have ample data governance and protection as the information was shared among members of service supply chain networks.

Big Data analytics are a useful technology tool to forecast market preference based on open source, structured and unstructured data.