• Asian Journal of Business Environment
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• v.8 no.4
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• pp.5-15
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• 2018

Purpose - The research aimed to reveal real decisional behavioral of management institutes in India for social media marketing usage, and analyses of empirical elements of social media consumption pattern. Research design, data, and methodology - The investigation was based around a research methodology using quantitative analysis with appropriate statistical techniques on random surveys of consumers, detailed exploratory and confirmatory factor analyses are applied to assess the empirical validity of the model and multiple regression employed using R studio edition to validate the reliability of the developed models. Results - A new conceptual framework is proposed - the management institutions decision model, providing a tool for effective and more focused decision-making strategies for developing better utilization techniques for social media. Management institutions have different requirements based upon objectives and resources available. The evidence suggests that the administrators need to be more aware of consumer indicators when targeting and designing social media marketing strategy. Conclusions - The research was based on samples and not the entire population of target consumers, providing limitations. As an inferential statistical method was chosen, the results might be susceptible to inaccuracy. The model developed from different age users, thereby providing rich perspectives into social media usage pattern.

• Communications for Statistical Applications and Methods
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• v.24 no.6
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• pp.605-625
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• 2017

This paper presents proportional odds cure models to allow spatial correlations by including spatial frailty in the interval censored data setting. Parametric cure rate models with independent and dependent spatial frailties are proposed and compared. Our approach enables different underlying activation mechanisms that lead to the event of interest; in addition, the number of competing causes which may be responsible for the occurrence of the event of interest follows a Geometric distribution. Markov chain Monte Carlo method is used in a Bayesian framework for inferential purposes. For model comparison some Bayesian criteria were used. An influence diagnostic analysis was conducted to detect possible influential or extreme observations that may cause distortions on the results of the analysis. Finally, the proposed models are applied for the analysis of a real data set on smoking cessation. The results of the application show that the parametric cure model with frailties under the first activation scheme has better findings.

• International Journal of Knowledge Content Development & Technology
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• v.9 no.2
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• pp.7-31
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• 2019

This study was conducted to investigate the awareness and utilization of the Internet resources and services for academic activities by the academic staff of tertiary institutions in Adamawa State. The researchers adopted a quantitative research method using cross-sectional survey design to collect data from the respondents. Multi-stage sampling techniques were used. Three hundred and thirty-three (333) copies of the questionnaire were administered to the respondents in the eight (8) sampled institutions and two hundred and ninety-two (292) respondents representing (87.6%) were returned and found useful. The data collected were analyzed using descriptive and inferential statistics by the use of SPSS version 20.0. The findings revealed that respondents were aware of all the Internet resources, (e-books, e-journals, and online databases), but regarding the Internet services, they were mostly aware of only the e-mail. The study further found that online database and e-mail as the most Internet resources and services utilized by the respondents. There are inverse and weak relationship between awareness and utilization of the Internet resources and services by the academic staff of tertiary institutions in Adamawa State. The study recommends increase awareness and use to other Internet resources such as the e-books and e-journal and Internet services, especially Usenet, Discussion group and Telnet by the management of the institutions through training, workshops/conferences for better academic activities.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.697-706
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• 2021

This quantitative study aims to examine the effect of family ownership on company performance empirically. Specifically, this study examines the moderating effect of corporate governance on the relationship between family ownership and company performance which has never been explored in the previous studies. This study's main target population was all listed companies in the Indonesian Capital Market Directory (ICMD) for 2008-2018. The study used criteria, namely data completeness, to measure research variables and obtained 2996 data or firm-year observations. The research contingency model to test the proposed hypothesis was the General Moment Method (GMM). The study presents the results of data descriptions shows the average, median, maximum, minimum, and standard deviation values for each variable. The descriptive data shows that family ownership is common in Indonesia: 64% of 244 companies in the sample. The inferential analysis results using a multiple regression model test show that family ownership significantly reduces company performance. However, corporate governance proxied by the board of directors, managerial risk profile, and independent commissioners significantly moderate the relationship between family ownership and company performance. Besides, the managerial risk profile and independent commissioners strengthened while the board of commissioners' presence weakened the effect of family ownership on performance.

• The Journal of Industrial Distribution & Business
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• v.12 no.10
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• pp.19-30
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• 2021

Purpose: Dairy marketing cooperatives operate in the agricultural sector of the Ethiopian economy and are supposed to increase the efficiency of the marketing system. This paper aims to study factors affecting the participation of farm households' in dairy marketing cooperatives. Research design, data, and methodology: The research has focused on one primary question. What are the possible factors that affect farm households' participation in dairy marketing cooperatives? The survey questionnaire was developed and an interview was made using enumerators. A total of 1500 sample households were selected randomly using the method of sampling with probability proportionate to size. Descriptive and inferential statistical analysis (binary logit model) was used for analysis. Results: The study result revealed that among thirteen explanatory variables hypothesized to affect dairy producer farmers' participation in dairy marketing cooperatives; eleven were found to be statistically significant. From these findings, it is observed that members of the dairy cooperatives have significant advantage over nonmembers. Conclusions: Both internal and external intervention measures are suggested. Internally, the cooperatives' board of directors should design appropriate strategies to attract nonmembers to improve future participation, and, externally, government, NGOs, and other stakeholders need to emphasize methods that increase nonmembers' participation in dairy marketing cooperatives.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.23-30
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• 2021

The purpose of this study is to compare the level of risk and return of Islamic stocks in the Jakarta Islamic Index (JII) with conventional stocks on the IDX30 in the period from January 2017 to July 2019. The Sharpe ratio method is used to calculate risk and stock returns. The performance of the stock portfolio is measured by comparing the risk premium portfolio with the portfolio risk that is expressed as a standard deviation of the total risk. This study uses secondary data collected by the Indonesia Stock Exchange (IDX), which provides the names of stock issuers included in the JII and IDX30 indices along with their montly closing price. The results of the descriptive analysis show that the JII Sharpe ratio index from January 2017 to July 2019 is from the minimum range of -0.28820 to a maximum range of 0.05622, while the IDX30 Sharpe ratio index from January 2017 to July 2019 is from the minimum range of -0.09290 to the maximum range of 0.17436. The results of inferential analysis using a different test show that there is a significant difference between the Sharpe ratio JII and IDX30 in measuring the performance of the stock portfolio.

• The Journal of Industrial Distribution & Business
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• v.12 no.7
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• pp.7-14
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• 2021

Purpose: The coronavirus (COVID-19) has become a worldwide pandemic and significantly influences the global economy. Therefore, this paper aims to determine the impact of COVID-19 on the accounting profession in Bangladesh. Research design, data, and methodology: The research has focused on its primary question. How much does COVID- 19 affect the accounting profession in Bangladesh? A formal questionnaire has been developed to address it. Questionnaire was spread via Facebook and email. Sample was determined by using random sampling method. The collection comprises 190 from Bangladesh. The Likert scale of five points was used. Descriptive and inferential statistical analysis (Wilcoxon signed-rank test) were used for analysis. Results: the study found a great impact of COVID-19 on the accounting profession in Bangladesh. Many changes are faced due to pandemics. Most accountants are working remotely during pandemic rather than before pandemic. They have adapted to new technology. Meetings and trainings are held virtually. They are also facing cybersecurity problems because of less data security. Job insecurity has increased. Conclusions Therefore, the global pandemic COVID-19 dramatically affects the accounting profession in Bangladesh. The changes that happened due to pandemics will advance the accounting profession. These revolutionary changes will become the world's new normal.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.2
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• pp.41-48
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• 2023

This study aims to evaluate patients' satisfaction with healthcare services in Hawtat Bani Tamim Governorate during the spread of coronavirus. The importance of this study stems from the fact that Covid-19 is challenging countries all over the world. The study adopted a questionnaire for collecting the data. The sample size reached 231 members. The study applied descriptive statistics and inferential statistical methods to obtain the result of the study. The analysis of the data revealed that most of the participants are satisfied with the healthcare services in hospitals and health centers during the Corona pandemic, Health precautions and distancing measures were applied appropriately, Vaccination against corona was available in health centers and easy to access, and rapid response of health care service providers to patients' requests. The participant's opinions showed that the application of Mawid is a suitable method to access healthcare services during Corona, the application is more efficient in providing the required healthcare services and facilitating their access to healthcare services. In addition, patient satisfaction with the "My health" application provided fast and convenient services during the Corona pandemic and provided medical consultations easily.

• The Journal of Industrial Distribution & Business
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• v.13 no.11
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• pp.11-19
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• 2022

Purpose: Food security is a dynamic concept, which has continuously integrated new dimensions and levels of analysis over the years; this reflects the wider recognition of its complexities in research and public policy issues. Food insecurity is a major challenge for Ethiopia and for many African countries. This paper aims to identify the roles of social enterprises to overcome food insecurity. Research design, data and methodology: The research has focused on one primary question. What are the role of social enterprises to overcome food insecurity? The survey questionnaire was developed and an interview was made using enumerators. A total sample size of 400 sample households was selected randomly using the method of sampling with probability proportionate to size. Descriptive and inferential statistical analysis methods were used for data analysis. Results: Results of the regression analysis show that all of the hypothesized independent variables are significantly and positively affecting post membership income of the sample households. Conclusions: all stakeholders as government, development actors and academic institutions should closely monitor and support social enterprises/cooperatives technically, financially and materially. By doing so, the full potential and contributions of social enterprises in reducing unemployment and solving the social and environmental problems can be effective.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.3
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• pp.233-238
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• 2016

In this paper, we propose the algorithms of processing the uncertainty data using data fusion for the next generation intrusion detection. In the next generation intrusion detection, a lot of data are collected by many of network sensors to discover knowledge from generating information in cyber space. It is necessary the data fusion process to extract knowledge from collected sensors data. In this paper, we have proposed method to represent the uncertainty data, by classifying where is a confidence interval in interval of uncertainty data through feature analysis of different data using inference method with Dempster-Shafer Evidence Theory. In this paper, we have implemented a detection experiment that is classified by the confidence interval using IRIS plant Data Set for anomaly detection of uncertainty data. As a result, we found that it is possible to classify data by confidence interval.