• Title/Summary/Keyword: random factor

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Generalized Distributed Multiple Turbo Coded Cooperative Differential Spatial Modulation

  • Jiangli Zeng;Sanya Liu;Hui Wang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.3
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    • pp.999-1021
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    • 2023
  • Differential spatial modulation uses the antenna index to transmit information, which improves the spectral efficiency, and completely bypasses any channel side information in the recommended setting. A generalized distributed multiple turbo coded-cooperative differential spatial modulation based on distributed multiple turbo code is put forward and its performances in Rayleigh fading channels is analyzed. The generalized distributed multiple turbo coded-cooperative differential spatial modulation scheme is a coded-cooperation communication scheme, in which we proposed a new joint parallel iterative decoding method. Moreover, the code matched interleaver is considered to be the best choice for the generalized multiple turbo coded-cooperative differential spatial modulation schemes, which is the key factor of turbo code. Monte Carlo simulated results show that the proposed cooperative differential spatial modulation scheme is better than the corresponding non-cooperative scheme over Rayleigh fading channels in multiple input and output communication system under the same conditions. In addition, the simulation results show that the code matched interleaver scheme gets a better diversity gain as compared to the random interleaver.

Relationship between Immersion and Fun Perception of Leisure Sports Participants Leisure Attitude

  • Meng Xu;Sunmun Park
    • International Journal of Advanced Culture Technology
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    • v.11 no.1
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    • pp.94-102
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    • 2023
  • The purpose of this study is to identify the effects of leisure sports participants' leisure attitudes on immersion and fun perception. As of 2021, the subject of this study was set as a population of adult males and females aged 20 and over who participate in leisure sports in Gwangju and the South, and then the cluster random sampling method was used. A total of 300 people, 150 boys and 150 women, were collected. A questionnaire was used as a survey tool, and a questionnaire whose validity and reliability were recognized in previous studies was modified and secured according to this study. In addition, all questionnaires were constructed on a 5-point scale. The statistical analysis used for data analysis was frequency analysis, exploratory factor analysis, reliability analysis, and multiple regression analysis using SPSS Windows 21.0 Version. The conclusions obtained in this study through data analysis by such methods and procedures are as follows. First, it was found that leisure sports participants' leisure attitudes partially affect immersion. Second, leisure sports participants' leisure attitudes were found to have a partial effect on their perception of fun. Third, it was found that the immersion of leisure sports participants partially affects the perception of fun.

Investigation of Demand-Control-Support Model and Effort-Reward Imbalance Model as Predictor of Counterproductive Work Behaviors

  • Mohammad Babamiri;Bahareh Heydari;Alireza Mortezapour;Tahmineh M. Tamadon
    • Safety and Health at Work
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    • v.13 no.4
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    • pp.469-474
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    • 2022
  • Background: Nowadays, counter-productive work behaviors (CWBs) have turned into a common and costly position for many organizations and especially health centers. Therefore, the study was carried out to examine and compare the demand-control-support (DCS) and effort-reward imbalance (ERI) models as predictors of CWBs. Methods: The study was cross-sectional. The population was all nurses working in public hospitals in Hamadan, Iran of whom 320 were selected as the sample based on simple random sampling method. The instruments used were Job Content Questionnaire, Effort-Reward Imbalance Questionnaire, and Counterproductivity Work Behavior Questionnaire. Data were analyzed using correlation and regression analysis in SPSS18. Results: The findings indicated that both ERI and DCS models could predict CWB (p ≤ 0.05); however, the DCS model variables can explain the variance of CWB-I and CWB-O approximately 8% more than the ERI model variables and have more power in predicting these behaviors in the nursing community. Conclusion: According to the results, job stress is a key factor in the incidence of CWBs among nurses. Considering the importance and impact of each component of ERI and DCS models in the occurrence of CWBs, corrective actions can be taken to reduce their incidence in nurses.

Entrepreneurial Orientation Affecting the Performance of Women-Owned SMEs: Evidence from Vietnam

  • NGUYEN, Thi Loan
    • The Journal of Asian Finance, Economics and Business
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    • v.10 no.1
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    • pp.223-232
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    • 2023
  • This study desires to examine the impact of five dimensions of entrepreneurial (EO) orientation (innovation, competitive aggressiveness, proactiveness, risk-taking, autonomy) on the operation of women-owned SMEs; the author conducted a case study in Vietnam. How will each dimension of EO affect women-owned SMEs' performance? This study aims to seek the answer to these questions. A survey research design and a theoretical framework have been developed for all factors in the current context. A simple random sampling technique was applied in 300 SMEs in some provinces of Vietnam through a survey questionnaire, and a total of 258 valid responses were assessed as appropriate. The obtained data was analyzed by using SPSS 20.0. Cronbach's α test and factor analysis have been carried out to test the reliability of data and validate the hypothesis. Research results show that innovation, competitive aggressiveness, proactiveness, and autonomy positively affect business performance, while risk-taking negatively affects business performance. The results suggest that female business owners should know how to improve each dimension of the entrepreneurial in line with its context. Research results are important implications for Government administrative agencies for businesses to consult and introduce effective support policies. It is recommended that similar studies be replicated to confirm this result.

A Study on Determinants of Photovoltaic Energy Growth: Panel Data Regression with Autoregressive Disturbance (태양광 보급의 결정요인 연구: 자기상관 패널데이터 분석)

  • Kim, Kwangsu;Choi, Jinsoo;Yoon, Yongbeum;Park, Soojin
    • Current Photovoltaic Research
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    • v.10 no.1
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    • pp.6-15
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    • 2022
  • Climate change is among the most important issues facing mankind in modern society. However, global PV energy expansion has been driven mainly by OECD countries. We investigate the determinants of PV energy growth by panel data of selected OECD countries from 1991 to 2018. We investigate four categories of driving factors: socioeconomic, technological, country specific, and policy factors. The test results support that PV capacity growth is significantly driven by technology development and multidimensional environment policy factors. Socioeconomic factors such as CO2, GDP, and electricity price are statistically significant on the growth of PV energy, too. Whereas, country-specific solar potential factor is the least related. As most of the socioeconomic factors are exogenous, we need to focus more on PV technology development and policy measures.

The Effects of Physical Education Class Participation and Perception on Stress and School Life Adaptation

  • Sunmun Park;Haoyuan Lee
    • International Journal of Advanced Culture Technology
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    • v.11 no.2
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    • pp.256-266
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    • 2023
  • The purpose of this study is to investigate the relationship between stress and school life adaptation according to the degree of participation in physical education class and perception of middle school students. In order to achieve this research objective, the subjects of this study were sampled using cluster random sampling from male and female students attending middle schools in Gwangju Metropolitan City and Jeollanam-do in 2020. 150 males and 150 females, a total of 300 people were sampled. The statistical analysis used for data analysis was frequency analysis, exploratory factor analysis, reliability analysis, and multiple regression analysis using SPSS Windows 21.0 Version. The conclusions obtained in this study through data analysis by such methods and procedures are as follows. First, it was found that middle school students' participation in physical education classes and perceptions had a partial effect on stress. Second, it was found that the degree of participation and awareness of middle school students' physical education class had a partial effect on their adaptation to school life. Third, middle school students' stress was found to have a partial effect on school life adaptation.

The Effect of Sports Club Membership Lifestyle on Choice Behavior

  • Sunmun Park;Shuo LI
    • International Journal of Advanced Culture Technology
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    • v.11 no.2
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    • pp.267-275
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    • 2023
  • The purpose of this study is to investigate the influence of sports center members' lifestyles on participation promotion and choice behavior. To this end, more specifically, we intend to establish and clarify a hypothetical model based on the preceding studies of facilitating factors and factors that continue to participate according to the lifestyle of sports center members. In order to achieve this research purpose, the study subjects were set as the population of male and female adults over 20 who are using sports centers in Gwangju Metropolitan City and Jeollanam-do in 2021. As for the sampling method, the sample was extracted using cluster random sampling, and 300 people were used for the actual analysis, excluding 60 copies of double-entry and insincere or unreliable questionnaires. The survey tool was modified and supplemented according to this study based on the questionnaire that had been verified for reliability and validity in previous studies, and all questionnaire items were composed of a 5-point scale. The statistical analysis used for data analysis was frequency analysis, exploratory factor analysis, reliability analysis, and multiple regression analysis using SPSS Windows 21.0 Version. The conclusions obtained in this study through data analysis by such methods and procedures are as follows. First, according to the lifestyle of sports center members, participation promotion factors were found to have a partial influence. Second, according to the lifestyle of sports center members, the selection behavior was found to have a partial influence. Third, it was found that the participation promotion factors of sports center members partially affected the choice behavior.

The Adoption of Big Data to Achieve Firm Performance of Global Logistic Companies in Thailand

  • KITCHAROEN, Krisana
    • Journal of Distribution Science
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    • v.21 no.1
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    • pp.53-63
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    • 2023
  • Purpose: Big Data analytics (BDA) has been recognized to improve firm performance because it can efficiently manage and process large-scale, wide variety, and complex data structures. This study examines the determinants of Big Data analytics adoption toward marketing and financial performance of global logistic companies in Thailand. The research framework is adopted from the technology-organization-environment (TOE) model, including technological factors (relative advantages), organizational factors (technological infrastructure and absorptive capability), environmental factors (industry competition and government support), Big Data analytics adoption, marketing performance, and financial performance. Research design, data, and methodology: A quantitative method is applied by distributing the survey to 450 employees at the manager's level and above. The sampling methods include judgmental, stratified random, and convenience sampling. The data were analyzed by Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM). Results: The results showed that all factors significantly influence Big Data analytics adoption, except technological infrastructure. In addition, Big Data analytics adoption significantly influences marketing and financial performance. Conversely, marketing performance has no significant influence on financial performance. Conclusions: The findings of this study can contribute to the strategic improvement of firm performance through Big Data analytics adoption in the logistics, distribution, and supply chain industries.

Organizational Justice, Job Satisfaction and Islamic Spirituality among Malaysian SME Employees

  • MANAF, Abdul Halim Bin Abdul;SULAIMAN, Mohamed;SARIF, Suhaimi Mhd;OTHMAN, Abdul Kadir
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.1
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    • pp.259-271
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    • 2022
  • The role of Islamic spirituality in the relationship between organizational justice (OJ) and job satisfaction is investigated in this study (JS). The three components of OJ in this study are distributive, procedural, and interactional justice. Islamic spirituality (IS) is founded on piety values, and IS was used as a moderating factor in this study to alter the link between OJ and JS among Malaysian employees of small and medium enterprises (SMEs). Four hundred sets of the questionnaire were issued using a simple random selection procedure, yielding 276 completed responses, suggesting a 69 percent response rate. Multiple Linear Regression Analysis (MLRA) was used to test the proposed relationships. The findings of the study demonstrate that the three OJ aspects have a considerable impact on employee JS, indicating the significance of these elements in ensuring that employees are satisfied with their jobs. IS, on the other hand, had no effect on the link between the OJ dimensions and JS. This research has added to the existing body of knowledge by giving further empirical evidence on the impact of OJ aspects on employee JS in SMEs, notably in Malaysia.

The Effects of Fast food Customers' Perceived Risk on Purchasing Intention, Attitude, & Risk Reduction Behavior (패스트푸드 이용 고객의 위험지각요인이 위험감소행동, 태도, 및 구매의도에 미치는 영향)

  • Chong, Yu-Kyeong;Sung, Yu-Kyeong;Ryu, In-Young
    • Journal of the Korean Society of Food Culture
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    • v.24 no.5
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    • pp.518-524
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    • 2009
  • This study was conducted to investigate the effects of fast food customer's perceived risks on risk reduction behavior, attitude and purchase intention. A total of 268 usable surveys were collected using a stratified random sampling method. Descriptive analysis and factor analysis was then conducted using SPSS 12.0, and a Cronbach's $\alpha$ was generated to estimate the internal consistency of the survey items. Multiple regression analysis was used to evaluate the relationships among variables. The results indicated that fast food safety and monetary risks had a negative effect on customer feelings and satisfaction with fast food, which had a positive effect on buying purpose and recommendation purpose. Conversely, obesity and monetary risks only had a negative effect on buying purpose. An improved menu more effectively reduced the risk perceived by the fast-food customers than an improved image.