• Title/Summary/Keyword: Social Sciences Research

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Behaviour of students on social media sites : The Ghanaian Context

  • Nasir Koranteng Asiedu;Donus Worlanyo Buadi;Ebenezer Martin-Yeboah
    • International Journal of Knowledge Content Development & Technology
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    • v.13 no.2
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    • pp.71-88
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    • 2023
  • Behaviour on social media sites need to be clearly defined so that students would know the clear distinction between the acceptable and unacceptable acts they are supposed to exhibit whenever they get on social media platforms. With the adoption of the survey approach, this study randomly selected 204 students from two renowned universities in Ghana to participate in the study. Using the theory of Technological Determinism, the results of this study indicated that technology has the power to influence human behaviour in a positive and negative manner. The results also brought out the acceptable and unacceptable behaviour that should or should not be exhibited on social media sites by students. The study established the importance of the theory of Technological Determinism to media use. It also gave a vivid description of what is right and not right on social media sites.

Effects of Iranian Economic Reforms on Equity in Social and Healthcare Financing: A Segmented Regression Analysis

  • Zandian, Hamed;Takian, Amirhossein;Rashidian, Arash;Bayati, Mohsen;Moghadam, Telma Zahirian;Rezaei, Satar;Olyaeemanesh, Alireza
    • Journal of Preventive Medicine and Public Health
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    • v.51 no.2
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    • pp.83-91
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    • 2018
  • Objectives: One of the main objectives of the Targeted Subsidies Law (TSL) in Iran was to improve equity in healthcare financing. This study aimed at measuring the effects of the TSL, which was implemented in Iran in 2010, on equity in healthcare financing. Methods: Segmented regression analysis was applied to assess the effects of TSL implementation on the Gini and Kakwani indices of outcome variables in Iranian households. Data for the years 1977-2014 were retrieved from formal databases. Changes in the levels and trends of the outcome variables before and after TSL implementation were assessed using Stata version 13. Results: In the 33 years before the implementation of the TSL, the Gini index decreased from 0.401 to 0.381. The Gini index and its intercept significantly decreased to 0.362 (p<0.001) 5 years after the implementation of the TSL. There was no statistically significant change in the gross domestic product or inflation rate after TSL implementation. The Kakwani index significantly increased from -0.020 to 0.007 (p<0.001) before the implementation of the TSL, while we observed no statistically significant change (p=0.81) in the Kakwani index after TSL implementation. Conclusions: The TSL reform, which was introduced as part of an economic development plan in Iran in 2010, led to a significant reduction in households' income inequality. However, the TSL did not significantly affect equity in healthcare financing. Hence, while measuring the long-term impact of TSL is paramount, healthcare decision-makers need to consider the efficacy of the TSL in order to develop plans for achieving the desired equity in healthcare financing.

IMPROVING SOCIAL MEDIA DATA QUALITY FOR EFFECTIVE ANALYTICS: AN EMPIRICAL INVESTIGATION BASED ON E-BDMS

  • B. KARTHICK;T. MEYYAPPAN
    • Journal of applied mathematics & informatics
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    • v.41 no.5
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    • pp.1129-1143
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    • 2023
  • Social media platforms have become an integral part of our daily lives, and they generate vast amounts of data that can be analyzed for various purposes. However, the quality of the data obtained from social media is often questionable due to factors such as noise, bias, and incompleteness. Enhancing data quality is crucial to ensure the reliability and validity of the results obtained from such data. This paper proposes an enhanced decision-making framework based on Business Decision Management Systems (BDMS) that addresses these challenges by incorporating a data quality enhancement component. The framework includes a backtracking method to improve plan failures and risk-taking abilities and a steep optimized strategy to enhance training plan and resource management, all of which contribute to improving the quality of the data. We examine the efficacy of the proposed framework through research data, which provides evidence of its ability to increase the level of effectiveness and performance by enhancing data quality. Additionally, we demonstrate the reliability of the proposed framework through simulation analysis, which includes true positive analysis, performance analysis, error analysis, and accuracy analysis. This research contributes to the field of business intelligence by providing a framework that addresses critical data quality challenges faced by organizations in decision-making environments.

Strength Map of Presidential Candidates 2019 in Indonesia Based on a NodeXL Analysis of Big Data from Twitter

  • Suratnoaji, Catur;Arianto, Irwan Dwi;Sumardjijati, Sumardjijati
    • Asian Journal for Public Opinion Research
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    • v.6 no.1
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    • pp.31-38
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    • 2018
  • Leading up to the 2019 presidential election in Indonesia, campaigns have emerged through social media, particularly Twitter, using various hashtags, such as #2019GantiPresiden (2019 Change President) and #TetapJokowi (Always Jokowi). This paper tries to understand the presidential candidates' power map in forming opinions and influencing voter behavior by analyzing Twitter from August 6, 2018 to September 15, 2018, just before the beginning of the official campaign period, by searching for the keyword "pemilihan presiden RI Tahun 2019" (RI presidential election in 2019). According to our NodeXL's analysis, there were 1,650 active Twitter users talking about the 2019 presidential election. The 1,650 Twitter users have formed a communication network of 46,750 relationships formed from messages in the form of tweets, comments, and retweets. Our analysis found that those mentioning "pilihan presiden 2019" form large communication networks around four clusters: one for each of the two candidates (Jokowi and Prabowo) and two for opinion leaders who are undecided about the election (Gus Mus and Mas Piyu). GusMus is a religious leader, as an official of the PBNU Rais Syuriah (an Islamic organization) and has a large following both on and off Twitter. "MasPiyu" is an unidentified Twitter user; he only has a large following on Twitter, but does not have support offline.

Relationship between Body Image and Breast Self-examination Intentions and Behaviors among Female University Students in Malaysia

  • Samah, Asnarulkhadi Abu;Ahmadian, Maryam
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.21
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    • pp.9499-9503
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    • 2014
  • This study aimed to examine the relationship between body image satisfaction and breast self-screening behaviors and intentions. The sample for this cross-sectional study consisted of 842 female university students who were recruited from a number of public and private universities. Data were obtained between the months of November and December, 2013, using multistage random cluster sampling. Main research variables were breast cancer screening behavior and intentions, demographic factors, and the total scores on each of the Multidimensional Body-Self Relations Questionnaire (MBSRQ-Appearance Scales) subscales. Results of multivariate analysis showed that having higher satisfaction and more positive evaluation of appearance were related to having performed breast self-examination more frequently in the last year and intending to perform breast self-examination more frequently in the next year. Longitudinal research can potentially provide detailed information about overall body image satisfaction and breast cancer screening behavior among various communities.

Scaling of the Price Fluctuation in the Korean Housing Market

  • Kim, Jinho;Park, Jinhong;Choi, Junyoung;Yook, Soon-Hyung
    • Journal of the Korean Physical Society
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    • v.73 no.10
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    • pp.1431-1436
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    • 2018
  • We study the scaling of the price fluctuation in the Korean housing market. From the numerical analysis, we show that the normalized return distribution of the housing price, P(r), has a fat-tail and is well approximated by a power-law, $P(r){\sim}r^{-({\alpha}+1)}$, with ${\alpha}{\simeq}3$ for the whole data set. However, if we divide the data into groups based on the trading patterns, then the value of ${\alpha}$ for positive tail and negative tail can be different depending on the trading patterns. We also find that the autocorrelation function of the housing price decays much slower than that of the stock exchange markets, which shows a unique feature of the housing market distinguished from the other financial systems.

Traffic Offloading Algorithm Using Social Context in MEC Environment (MEC 환경에서의 Social Context를 이용한 트래픽 오프로딩 알고리즘)

  • Cheon, Hye-Rim;Lee, Seung-Que;Kim, Jae-Hyun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.42 no.2
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    • pp.514-522
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    • 2017
  • Traffic offloading is a promising solution to solve the explosive growth of mobile traffic. One of offloading schemes, in LIPA/SIPTO(Local IP Access and Selected IP Traffic Offload) offloading, we can offload mobile traffic that can satisfy QoS requirement for application. In addition, it is necessary for traffic offloading using social context due to large traffic from SNS. Thus, we propose the LIPA/SIPTO offloading algorithm using social context. We define the application selection probability using social context, the application popularity. Then, we find the optimal offloading weighting factor to maximize the QoS(Quality of Service) of small cell users in term of effective data rate. Finally, we determine the offloading ratio by this application selection probability and optimal offloading weighting factor. By performance analysis, the effective data rate achievement ratio of the proposed algorithm is similar with the conventional one although the total offloading ratio of the proposed algorithm is about 46 percent of the conventional one.

Gender and Social Disparities in Esophagus Cancer Incidence in Iran, 2003-2009: A Time Trend Province-level Study

  • Kiadaliri, Aliasghar Ahmad
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.2
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    • pp.623-627
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    • 2014
  • Background: Esophagus cancer (EC) is among the five most common cancers in both sexes in Iran, with an incidence rate well above world average. Social rank (SR) of individuals and regions are well-known independent predictors of EC incidence. The aim of current study was to assess gender and social disparities in EC incidence across Iran's provinces through 2003-2009. Materials and Methods: Data on distribution of population at province level were obtained from the Statistical Centre of Iran. Age-standardized incidence rates of EC were gathered from the National Cancer Registry. The Human Development Index (HDI) was used to assess the province social rank. Rate ratios and Kunst and Mackenbach relative indices of inequality ($RII_{KM}$) were used to assess gender and social inequalities, respectively. Annual percentage change (APC) was calculated using joinpoint regression. Results: EC incidence rate increased 4.6% and 6.5% per year among females and males, respectively. There were no gender disparities in EC incidence over the study period. There were substantial social disparities in favor of better-off provinces in Iran. These social disparities were generally the same between males and females and were stable over the study period. Conclusions: The results showed an inverse association between the provinces' social rank and EC incidence rate in Iran. In addition, I found that, in contrast with international trends, women are at the same risk of EC as men in Iran. Further investigations are needed to explain these disparities in EC incidence across the provinces.

The Effect of Gamification on Employee Behavior: The Mediating Effects of Culture and Engagement

  • HAMZA, Ibrahim;SAROLTA, Tovolgyi;SHATILA, Khodor
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.5
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    • pp.213-224
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    • 2022
  • In recent years, gamification has been a hot issue due to its positive impact on organizational success. The proper application of game elements in an organizational context is required for gamification implementations. Gamification remains an area of active research for its behavior molding potential. Employee engagement is a critical component in assessing employee behavior and is considered crucial for organizational success. Research questionnaires were completed online between March 2021 and February 2022. Our targeted sample encompassed low and mid-level personnel of Asian and Middle eastern employees working in Hungary. The questionnaire was introduced using google forms. Our sample size consisted of 203 respondents (N = 203). Research results indicated gamification's significance in increasing employees' intrinsic motivation and therefore boosting organizational engagement levels. Gamification improved employees' task performance and the overall quality of work. Organizational culture had a mediating role between gamification and employees' behavior. Organizational culture and employee behavior are in close correlation. Research findings also proved engagements' mediating effect on employees' behavior. The results of the research showed that gamification in human resources has risen in popularity, especially in terms of its impact on employee behavior and performance. The study's findings demonstrated that gamification has a positive impact on organizational performance and collaboration.

A Study of Social Game Success Factors Using Farmville (팜빌을 이용한 소셜게임 성공요소에 대한 고찰)

  • Kim, Jongl-Chan;Song, Seung-Keun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.10a
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    • pp.363-366
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    • 2010
  • Currently social games with an emphasis on the relationship between the friends, especially women customers, have contributed to the expansion of game market attracting large audiences. Though recent interest in social games and the explosive propagation of social game into game industry, scholarly research for social game is insufficient. The objective of the study is to explore the success factors for successful social games. We suggest the guidelines for development of social game. Commercial success of social games and the number of users with the best game, farmville, were investigated for understanding key success factors in social game field. As a result, social interaction, simple interface, non-dynamic methods, instrumental rationality factors have been identified. This study will expect the guideline in order to develop a successful social games.

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