• The Journal of Asian Finance, Economics and Business
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• 제8권11호
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• pp.169-178
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• 2021

Motivating employee work engagement, which has emerged as one of the most significant drivers of high performance and achievement in today's dynamic environment, has become essential in gaining a sustainable competitive advantage. As widely known, leadership is a primary factor affecting work engagement. This is also directly related to a specific style of leadership exercised. Leadership styles affect the work engagement levels of the employees. The distracting nature of leadership type can have adverse impacts on individuals' behaviors. To provide a comprehensive understanding of the phenomenon, this article draws on social interaction theory and social exchange theory to investigate the potential effects of inclusive leadership on work engagement within the workplace, and the mediating role of psychological safety on the relationship between inclusive leadership and the work engagement. Here, psychological safety is needed by employees to avoid and manage negative feelings. SPSS and AMOS software was applied to survey data obtained from (n = 373) employees. Results revealed that inclusive leadership is a strong predictor for work engagement, and psychological safety partially mediates the link between inclusive leadership and work engagement. Implications for theory and practice alongside limitations are discussed.

• The Journal of Asian Finance, Economics and Business
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• 제8권7호
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• pp.67-78
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• 2021

The COVID-19 pandemic sweeping the world has rendered a large proportion of the workforce unable to commute to work, to mitigate the spread of the virus. This has resulted in both employers and employees seeking alternative work arrangements. Due to the pandemic, most if not all workers experienced work from home Hence work from home has become a policy priority for most governments. Individuals have started to change their behavior to stick to the curfew and rapidly conform to the new way of life. This study is conducted to understand how organizations and people adjust to these developments and challenges. Numerous organizations are changing to the online method of working because of the COVID-19. Because of the continuous adoption of a specific behavior after the COVID-19 pandemic situation ended, employees were expected to continue working from home. To investigate deep into the behavioral consequences of such a pandemic situation, in-depth interviews were conducted in several companies in Saudi Arabia. This study was conducted by extending the Theory of Planned Behavior (TPB) and the theory of reasoned action (TRA) to explore and assess the various factors that determine the continuous adoption intention of work-from-home by the Saudis. The finding shows that the employees' positive attitude, subjective norms, and self-efficacy affect the employees' intention to adopt work from home. The continuous adoption of work from home has been affected by employees' relevant intention and controllability.

• Journal of Smart Tourism
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• 제3권2호
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• pp.15-21
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• 2023

This paper presents a conceptual approach to Smart Tourism Design based on semiotic affordances theory. This conceptual approach repositions smart tourism from a techno-centric perspective that frames a seamless connection between the device and its software, to a more human-centric perspective that favors the user's needs, desires as perceived through the senses. An updated Smart Tourism Design emphasizes the aesthetic dimension of smart tourism that presents the objects of the travel experience as destination specific rather than universal, through representations as digital artifacts. This theory is based on an empirical and objective understanding of representations and how they can be identified as useful in the digital augmentation of travel experiences. Using Peirce's sign systems and Gibson's theory of affordances, smart tourism can transcend a prefabricated device-oriented experience to a closer dynamic and direct interaction between the user and the travel destination. Researchers and developers can use semiotics as a structural approach to recognizing objects as sign-types, and they can use affordances to better identify the immediacy of digital artifacts and purpose-driven by users' spontaneous and immediate motives.

• International Journal of Advanced Culture Technology
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• 제11권2호
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• pp.238-248
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• 2023

This study aims to examine the symbolism of the emblems of World Expositions by using Victor Turner's symbolic theory as a research method, and to reveal the symbolic types behind them by classifying the emblem designs of different periods and themes. The research object is 12 comprehensive World's Fair emblems from the 1939 New York World's Fair in the United States to the 2025 Osaka World's Fair in Japan, as identified by Bureau International des Expositions. The research method mainly adopts documentary research to collect historical information and theoretical frameworks related to the design of World's Fair emblems. In the analysis process, Victor Turner's symbolic sign theory is used as the main analytical framework to link the design elements of emblems to their relevance to specific societies and cultures in order to reveal the themes, values and ideas represented by the emblem symbolism. The results of the study show that the design of the Expo emblem uses different symbols, including material symbols, behavioral symbols, sensory symbols, natural symbols, social symbols and virtual symbols, to convey the core concepts, themes and values of the Expo. Through different types of symbols, the Expo emblem shows a wide range of concerns about technology and the future, mankind and the world, nature and ecology, and society and innovation. The symbolic design of the emblem plays an important role in conveying the core concept and theme of the Expo.

• Advances in nano research
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• 제16권1호
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• pp.27-40
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• 2024

This work is the first of its kind to integrate Mindlin's theory with analytical methods in order to produce an exact solution to a specific vibration issue as well as a bending problem involving a nanoplate that is supported by a viscoelastic foundation. The plate is exposed to the simultaneous effects of a compressive load in the plate plane and a force operating perpendicular to the plane of the nanoplate. In addition, the flexoelecity effect is included into the plate. The strain gradient component is taken into consideration while calculating the plate equilibrium equation using the nonlocal theory and Hamilton's principle. The free vibration and static responses of the nanoplate seem to be both real and imaginary components because of the appearance of the viscoelastic drag coefficient of the viscoelastic foundation. This study also shows that when analyzing the mechanical response for nanostructure, taking into account the flexoelectricity effect and the influence of the nonlocal parameter, the results will be completely different from the case in which this parameter is ignored. This indicates that it is vital to take into consideration the effects of nonlocal parameters on the nanosheet structure while also taking into consideration the effect of flexoelectricity.

• Journal of Smart Tourism
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• 제4권2호
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• pp.25-33
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• 2024

This study examines the factors influencing the use of mobile food ordering applications and their impact on consumption behavior amidst recent societal changes. It re-evaluates the relevance of factors from the UTAUT2 theory in predicting customers' behavioral intentions. Additionally, the study explores the moderating effect of confidence in food safety measures (CFSM). Quantitative research methods are employed. A structured questionnaire that measures the psychological factors, behavioral intention, and actual usage of mobile food ordering applications was used to collect customer data. Regression and moderation analyses are conducted to test the hypotheses and examine the moderating role of CFSM. The findings reveal that performance expectation, effort expectation, and habit significantly predict customers' intention to use mobile food ordering applications. Moreover, for customers with high CFSM, social influence, facilitating conditions, and hedonic motivation add additional contributions to their behavioral intention. This study extends the UTAUT2 theory by applying it to mobile food ordering applications and examining the influence of CFSM. It identifies the specific factors that drive customers' intention to use these applications and highlights the importance of CFSM as a moderating factor. The findings offer theoretical insights and practical implications for researchers and practitioners in the mobile food ordering industry.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2010년도 추계학술대회 초록집
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• pp.191-191
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• 2010

As many researchers want to predict or assess more about wind condition and wind power generation, CFD(Computational Fluid Dynamics) analysis method is very good way to do predict or assess wind condition and power generation. But CFD analysis is needed much knowledge of aerodynamics and physical fluid theory. In this paper, Auto-Wind CFD analysis program will be introduced. User does not need specific knowledge of CFD or fluid theory. This program just needs topographical data and wind data for initial condition. Then all of process is running automatically without any order of user. And this program gives for user to select and set initial condition for advanced solving CFD. At the last procedure of solving, Auto-Wind program shows analysis of topography and wind condition of target area. Moreover, Auto-Wind can predict wind power generation with calculation in the program. This Auto-Wind analysis program will be good tool for many wind power researchers in real field.

• 대한기계학회논문집B
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• 제22권1호
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• pp.70-78
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• 1998

The present study has tested semi-empirical loss models for a reliable performance prediction of mixed-flow pumps with four different specific speeds. In order to improve the predictive capabilities, this paper recommends a new internal loss model and a modified parasitic loss model. The prediction method presented here is also compared with that based on two-dimensional cascade theory. Predicted performance curves by the proposed set of loss models agree fairly well with experimental data for a variety of mixed-flow pumps in the normal operating range, but further studies considering 'droop-like' head performance characteristic due to flow reversal in mixed-flow impellers at low flow range near shut-off head are needed.

• 한국조경학회지
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• 제22권2호
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• pp.1-12
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• 1994

This paper reviews and examines the empirical results of past research concerning individual differences and similarities in landscape preference and evaluation. The conflicting results (differences and similarities) found in the review are attributed to the variety of methodology adopted by the past research and to the lack of comprehensive theoretical base in the field of landscape research. Two suggestions are derived from the review. First, both the landscape type to be evaluated and the measurement context to be used by research subjects have critical importance in results. Thus, it is suggested that researchers should be careful in selecting landscape type and measurement tool. Second, more scholartic endeavours should be put into a development of comprehensive theory of landscape experience that could explain both differences and similarities in people's landscape preference and evaluation. Once developed, the theory would not only provide us more valid and specific research methodology, but also allow us to design more healthy and valued landscape.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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• pp.308-313
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• 1998

In this paper we will discuss a type of inductive learning called learning from examples, whose task is to induce general description of concepts from specific instances of these concepts. In many real life situations, however, new instances can be added to the set of instances. It is first proposed within the framework of rough set theory, for such cases, an algorithm to find minimal set of rules for decision tables without recalculation for overcall set of instances. The method of learning presented here is base don a rough set concept proposed by Pawlak[2][11]. It is shown an algorithm to find minimal set of rules using reduct change theorems giving criteria for minimum recalculation with an illustrative example. Finally, the proposed learning algorithm is applied to fuzzy system to learn sampled I/O data.