Showing 11 results for Social
Aghil Hamidihesarsorkh, Ali Papi, Ali Bonyadi Naeini, Armin Jabarzadeh,
Volume 28, Issue 1 (3-2017)
Abstract
Nowadays, the popularity of social networks as marketing tools has brought a deal of attention to social networks analysis (SNA). One of the well-known Problems in this field is influence maximization problems which related to flow of information within networks. Although, the problem have been considered by many researchers, the concept behind of this problem has been used less in business context. In this paper, by using a cost-benefits analysis, we propose a multi-objective optimization model which helps to identify the key nodes location, which are a symbol of potential influential customers in real social networks. The main novelty of this model is that it determines the best nodes by combining two essential and realistic elements simultaneously: diffusion speed and dispersion cost. Also, the performance of the proposed model is validated by detecting key nodes on a real social network
Ebrahim Mazrae Farahani, Reza Baradaran Kazemzade, Amir Albadvi, Babak Teimourpour,
Volume 29, Issue 3 (9-2018)
Abstract
Studying the social networks plays a significant role in everyone’s life. Recent studies show the importance and increasing interests in the subject by modeling and monitoring the communications between the network members as longitudinal data. Typically, the tendency for modeling the social networks with considering the dependency of an outcome variable on the covariates is growing recently. However, these studies fail in considering the possible correlation between the responses in the modeling of social networks. Our study use generalized linear mixed models (GLMMs) (also referred to as random effects models) to model the social network according to the attributes of nodes in which the nodes take a role of random effect or hidden effect in the modeling. The likelihood ratio test (LRT) statistics is implemented to detect change points in the simulated network streams. Also, in the simulation studies, we applied root mean square Error (RMSE) and standard deviation criteria for choosing an appropriate distribution for simulation data. Also, our simulation studies demonstrates an improvement in the average run length (ARL) index in comparison to the previous studies.
P Subbaraju, K. Chandra Sekhar, P.r.s.s.v. Raju, K. Satyanarayana Raju, M. K. S. Varma,
Volume 31, Issue 2 (6-2020)
Abstract
Nowadays, data are the food for the digital world. The main rich sources for data generated by social networks such as Twitter, Face book, Instagram, and LinkedIn. The data generated from micro-blogging services are plays a vital role in business intelligence like product reviews, movie reviews, election results prediction by social media data analysis. Sentiment analysis (SA) is the key method of predicting netizens emotions behind the text expressed in social media. The main motto of this survey to give complete idea about tools and the techniques used in Sentiment Analysis and the relevant fields with brief details.
Shimelis Mihretu, Mahesh Gopal,
Volume 32, Issue 4 (12-2021)
Abstract
The study investigates the impact of work environment on organizational performance in Ethiopiachr('39')s Arjo Dedessa Sugar Factory (ADSF) and Finchaa Sugar Factory (FSF), as well as the relationship between physical work environment, work-related risk and injuries, psychological work environment, and social work environment. The total number of people employed in two industries is 867 and 2824. To examine the work-related environment condition, a stratified random sampling technique was used to select a sample of 266 and 338 employees. A 60% response rate has been achieved. Statistical software SPSS V 23.0 was used to analyze and determine the relationship between dependent and independent variables using Pearson correlation and linear regression analyses. The findings show that employees in ADSF have a moderate social work environment compared to those in FSF, but both organizationschr('39') physical work environments are the least conducive. Both ADSF and FSFchr('39')s physical work environments had statistically significant effects on their performance. The suggestion was made to improve the social environment in order to improve the employeeschr('39') psychological health.
Fatemeh Elhambakhsh, Kamyar Sabri-Laghaie,
Volume 33, Issue 1 (3-2022)
Abstract
The fourth industrial revolution has changed our lives by enabling everyone to be interconnected virtually. A trustworthy system is required to secure large volume of stored data in IoT-based devices. Blockchain technology has led to transfer and to save data in a safe way. With this in mind, the blockchain-based cryptocurrencies have gained quite a bit of popularity because of their potential for financial transactions. In this regard, monitoring transactions network is very fruitful to find users’ abnormal behaviors. In this research, a novel procedure is used to monitor blockchain cryptocurrency transactions network. To do so, a random, binary graph model is used to simulate the transactions between users, and a SCAN method is used to detect the abnormal behaviors in the simulated model. Also, a multivariate exponentially weighted moving average (MEWMA) control chart is used to monitor centrality measures. The probability of signal is used to assess the performance of the SCAN method and that of the MEWMA control chart in distinguishing abnormalities. Then, the procedure is adopted to a Bitcoin transactions dataset.
Dyah Gandasari, Diena Dwidienawati, David Tjahjana, Mochamad Sugiarto, M Faisal,
Volume 33, Issue 2 (6-2022)
Abstract
The dynamic among farmer institutions has essential problems to be addressed, especially regarding the pattern and process of communication interactions developing farmer institutions. Therefore, an assembly of agribusiness information within the communication network of the farmer group is of primary interest for our study. This study aims to analyze the agribusiness network structure of beef cattle farmer groups in Subang Regency, West Java, Indonesia. The Social Network Analysis (SNA) used for discovering communication network structure. Data was collected through interviews using a questionnaire. The census method was used for the sampling technique and UCINET 6 used to analyze the data. The results of the study show: 1) The degree centrality and net draw illustrate the head of farmer groups still plays a role as a source of information for their members even if members can access 1-3 other sources, 2) The closeness centrality average is still high and approaching its maximum. The limitation of this study is that only in quantitative approach. Therefore, it is recommended to conduct further research in a qualitative approach to further analyze the roles play in the networks that can be considered in increasing group social capital.
Ahmed Saeed Awadh Ali Alrashdi1, Nurul Zarirah Binti Nizam,
Volume 33, Issue 3 (9-2022)
Abstract
The main objective of this study is to determine factors influencing the adoption and impact of online social networks use in terms of performance among students within public universities in Abu Dhabi. Although various limitations exist, the findings have been encouraging, as it has managed to shed some lights on new variables affecting the use of online social networks. This study proposed an extended model of the Unified Theory of Acceptance & use of Technology (UTAUT) and found that five variables play an important role to determine the performance impact of online social networks namely performance expectancy, effort expectancy, social influence, facilitating conditions, and actual usage, in addition to the significant moderation role that service quality plays in the model which was significant on two relationships and insignificant in the remaining two. The findings of this study can provide policymakers with important insights on how to more successfully incorporate online social networks to improve students’ performance and public university services, and how to encourage the management to ensure that students are more likely to utilize new technologies and thereby enabling better learning outcome, wider reach of services, gives students more control over their daily tasks and enhances their performance.
Ayesha Sharif, Zuraidah Sulaiman, Asim Ali Chaudhry,
Volume 33, Issue 3 (9-2022)
Abstract
Brand loyalty is driven by share, comments, online review, like, and dislike on the social media platform of specific brands. The study empirically assessed with the influence of the dimensions of brand's personality as a moderator on SMBC and brand loyalty among customers’ popular fashion brands. The Aaker Brand Personality Scale used to measure the personality of fashion brands. Online brand personality can exist in the same way as offline brands. This means that social media has brand personalities, and these can influence consumer perceptions in different ways. This research utilized a quantitative approach in which questionnaires was distributed to SMBC users as the research population. The research was performed Structural Equation Modeling using IBM SPSS Statistics 23 software and Smart PLS 3.2.9 to analyze the data. The findings were help brands to make marketing plans to influence any type of unsatisfactory situations.
Fatemeh Hajisoltani, Mehdi Seifbarghy, Davar Pishva,
Volume 34, Issue 1 (3-2023)
Abstract
The main objective of this research is effective planning as well as greener production and distribution of mineral products in supply chain network. Through a case study in cement industry, it considers the design of the mining supply chain network including several factories with a number of production lines and multiple distribution centers. It leaves part of the transportation operation to contractor companies so as to enable the core company to better focus on its products’ quality and also create job opportunities to local people. It employs a multi-period and multi-product mixed integer linear programming model to both maximize the profit of the factory as well as minimize its carbon dioxide gas emissions which are released during cement production and transportation process. Due to the uncertainty of its cost parameters, fuzzy logic has been used for the modeling and solved via a novel fuzzy multi-choice goal programming approach. Sensitivity analysis has also been done on some key parameters. Comparing results of the model with those from the single-objective models, shows that the model has good efficiency and can be used by managers of mining industries such as cement. Although leaving part of the transportation operations to contractor companies increases the number of vehicles used by the contractor companies, its associated decrease in the number of required factory vehicles, improves both objectives of the model. This should be considered by the managers since on top of profit maximization, it can help them build an eco-friendly image. Mining industries generally generate significant amount of pollutions and companies that pay attention to different dimensions of their social responsibilities can remain stable in the competitive market.
Yulin Wan, Md Nor Khalil Bin, Biyuan Lyu, Wei Feng,
Volume 34, Issue 4 (12-2023)
Abstract
This study aims to conduct a comprehensive analysis of the existing literature on social presence in order to identify significant research works, contribute valuable insights into emerging research areas, and provide an overview of global research trends. The study also aims to assist future researchers in locating relevant information aligned with their research interests. The research employs bibliometric analysis to examine 1962 journal articles published between 1958 and 2022, focusing on various aspects such as publication outputs, co-authorships among authors and affiliated countries, and co-occurrences of author keywords referenced in the Scopus database. Additionally, the study identifies the most active institutions, productive journals, and prolific authors in the field of social presence. Notably, the analysis reveals a consistent increase in cumulative publication numbers from 2014 to 2018, with an annual increment of 100 articles. More than 55% of the total publications originate from researchers based in China and the United States. Moreover, among the top 15 countries, four of their most prolific universities are ranked among the world's top 100 universities. The findings of the bibliometric study highlight that research on social presence predominantly focuses on captivating themes such as e-learning, social media, computer-mediated communication (CMC), and communities of inquiry (CoI). The primary objective of the study is to identify shifts in publication outputs, co-authorships, affiliated countries, and author keywords, thereby unveiling prevailing publication trends within the field of social presence. The scope of the study primarily centres on the identification of trends through bibliometric analysis. The study's findings indicate an upward trend in the publication of articles concerning social presence, which is expected to continue. Furthermore, co-authorship and co-occurrence investigations are undertaken to assess leading countries and frequently employed keywords in the literature.
Ag Kaifah Riyard Kiflee, Nornajihah Nadia Hasbullah, Faerozh Madli,
Volume 35, Issue 2 (6-2024)
Abstract
Over the years, the attention given to corporate social responsibility (CSR) and sustainability topics has received a lot of attention significantly and various new terms have been introduced. This result has sparked a wide-ranging and unspecified discussion, particularly in the fields of economics and business management. The presents of functional CSR and sustainability enable management to make better decisions for the benefit of the entire society. As a result, understanding the topic of interest and broadening research collaboration are critical for advancing research development. The purpose of this study is to identify global research trends in CSR and sustainability based on publication numbers, co-authorship, affiliated countries, and keyword co-occurrences. This study used RTools and Prisma for its analysis. The findings indicate a significant rise in the number of articles published in the field of corporate social responsibility and sustainability since 2015. The USA contributed more than half of the publications, with Italy and Spain following closely behind.
