Social Networking Technologies Research Articles

Psychological and pedagogical aspects of consolidation of social capital of higher education institutions

The aim of the study was to identify psychological and pedagogical factors that ensure the consolidation of social capital in higher education institutions and to assess their effectiveness through expert critical evaluations. The study used the exploratory design and was based on the use of qualitative methods to evaluate the selected studies. The research methodology relied on the methods recommended for feasibility studies to determine the possibility of implementation of the selected best practices. The systematic review of scientific sources and best practices found the psychological and pedagogical aspects that ensure the consolidation of social capital in higher education institutions, namely: individual psychological factors of economically motivated behaviour, social network technology, second-order psychological factors, teachers’ assistance of students’ professional self-determination, education as a means, and psychological factors based on the attributes of the institution. The results of expert evaluation of the above factors suggest that the last three ones mentioned have the potential for duplication, dissemination and transferability in higher education institutions in Ukraine.

Psychological and pedagogical aspects of consolidation of social capital of higher education institutions

The aim of the study was to identify psychological and pedagogical factors that ensure the consolidation of social capital in higher education institutions and to assess their effectiveness through expert critical evaluations. The study used the exploratory design and was based on the use of qualitative methods to evaluate the selected studies. The research methodology relied on the methods recommended for feasibility studies to determine the possibility of implementation of the selected best practices. The systematic review of scientific sources and best practices found the psychological and pedagogical aspects that ensure the consolidation of social capital in higher education institutions, namely: individual psychological factors of economically motivated behaviour, social network technology, second-order psychological factors, teachers’ assistance of students’ professional self-determination, education as a means, and psychological factors based on the attributes of the institution. The results of expert evaluation of the above factors suggest that the last three ones mentioned have the potential for duplication, dissemination and transferability in higher education institutions in Ukraine.

A Meta-Analytic Structural Equation Model for Understanding Social Commerce Adoption

Social commerce (s-commerce) has gained prominence with advances in social media and social networking technologies over the last decade. Prior research has employed diverse theoretical perspectives to understand and explain consumer behavior within s-commerce but has also produced inconsistent results. This study integrates different theoretical perspectives including trust, social support, and social presence. The research portrays an integrated research model involving factors that impact behavioral intention and use behavior of s-commerce consumers whilst synthesizing prior empirical findings. A meta-analytic structural equation modeling (MASEM) method was used to synthesize 189 findings reported in 68 s-commerce studies and to analyze the structural model. Our findings show that trust and informational support have positive effects on behavioral intention while trust and emotional support have positive effects on use behavior. Furthermore, our findings highlight that behavioral intention influences use behavior and mediates the effect of trust and informational support on use behavior. The implications for research and practice are discussed in detail.

EVALUATING PANDEMIC LED PANIC BUYING IN RETAIL SECTOR OF PAKISTAN

ABSTRACT
 
 Purpose: The study sought to evaluate the unique panic buying behavior of consumers to gain an understanding of the factors leading to this type of consumer behavior and its implications for retail marketers and policymakers.

EMPOWERING CROSS-BORDER WOMEN ENTREPRENEURS VIA MOBILE ICT: FRAMEWORK FOR MALAYSIAN AND INDONESIAN WOMEN-LED MSMES

Women’s share in the business sector in Malaysia and Indonesia lags behind their male counterpart. However, Information and Communication Technology (ICT) could serve as a game changer to empower women startup and entrepreneurs. The acceptance and usage of Mobile ICT in business operations could empower more women-led Micro, Small and Medium Enterprises (MSMEs) to grow and fulfill customer needs and wants. However, there is a lack of established models to measure mobile ICT’s role in women MSMEs in these developing countries. Through the review of policy papers and relevant literatures, this study presents a framework to assess the adoption of Mobile ICT in women-led MSMEs factoring cross-border networking. Building upon Social Network Theory and Technology Acceptance Model, this study presents a framework and discusses recommendations for further action to empower women-led MSMEs in both countries by leveraging on cross-border networking capabilities between Indonesian and Malaysian women-led MSMEs. This study highlights the strength of international and cross-border networking among women startup and entrepreneurs where mentoring could happen to empower women startups and entrepreneurs.
 
 Keywords: Mobile ICT usage, women empowerment, MSMEs development, workforce digitization, cross-border entrepreneurship, social network theory, startups.
 
 Cite as: Tanti, D. S., Nathan, R. J., Sulistyo, P. B., Soekmawati, Hanim, F., & Sarjuni, V. (2021). Empowering cross-border women entrepreneurs via mobile ICT: Framework for Malaysian and Indonesian women-led MSMEs. Journal of Nusantara Studies, 6(2), 340-357. http://dx.doi.org/10.24200/jonus.vol6iss2pp340-357

Social network strategies in HIV medicine

The article contains a review of domestic and foreign literature on the use of social networking technologies — analysis of social networks and network interventions — in HIV medicine as promising, cost-effective and sustainable measures to improve HIV prevention and treatment outcomes in the framework of UNAIDS 90–90–90 program. The article described practical experience of using social network analysis to explain differences in the prevalence of HIV infection, including evaluation the behavioral risk levels among persons injecting drugs and the frequency of use of barrier contraceptives. The review reflects examples of the use of the most popular network interventions such as peer education and the Popular Opinion Leader for HIV prevention and for engaging people living with HIV into the medical monitoring and care. In addition, the experience of using innovative social network technologies in St. Petersburg in Russia is described.

Exchange Sex and Condom Use Among Gay, Bisexual, and Other Men Who Have Sex with Men Who Use Social and Sexual Networking Technologies

The practice of sex work or exchange sex (having sex in exchange for money, drugs, shelter, or other things) and the risks for HIV and sexually transmissible infections (STIs) associated with it differ based on the venues where partners meet (e.g., streets, agencies, or the Internet). Although there is evidence that gay, bisexual, and other men who have sex with men (MSM) use social media and dating/hookup applications and websites to find exchange sex, little is known about this phenomenon. We used online survey data collected among MSM in New York City recruited through social/sexual networking technologies to learn more about the practice of exchange sex in this population. Overall, 28.8% of participants had ever exchanged (sold) sex, including 8.4% who had done so in the prior three months. Almost half (46.4%) of those who had ever exchanged sex had met their first client through a social/sexual networking app/website (that was not a website dedicated to sex work), and the majority (88%) of those who had exchanged sex in the prior three months had done so with a client met through these technologies. In multivariable analyses, those who had exchanged sex in the prior three months reported at least twice the number of condomless anal sex partners in that period (compared to those who never exchanged sex) after controlling for covariates (incidence-rate ratio [IRR] = 2.08, 95% confidence interval [CI] 1.52–2.84). Social/sexual networking technologies are important venues for finding exchange sex among MSM, a practice that may present high risk for HIV and/or STI transmission.

Modern technologies of social management in the US political process (using the example of the 2020 presidential election campaign)

This article provides an applied analysis of the social network technologies used by Western IT-companies to exert a direct or indirect influence on political processes. The study focuses on a set of tools that were employed to shape the media landscape during the 2020 presidential election campaign in the United States. Overall, the empirical observations suggest that the largest networking services (such as Facebook, Twitter, Google, YouTube, etc.) more or less contributed to the success of the Democratic candidate.Having studied the relevant U.S. experience, the authors identify a set of manipulative techniques used by social network administrators to form specific electoral attitudes among users. These include blocking accounts; setting up search algorithms to produce pre-programmed results; labeling ideologically objectionable materials as “fake”, “untrustworthy”, “manipulative” and “potentially dangerous”; automatically recommending certain materials for viewing; and removing or pessimizing unwanted content.Seeking to expand their own audience, social networks flood the media space with so-called “partisan” content, which is vigorously welcomed by one part of society and just as vigorously rejected by another. This leads to polarization and radicalization of the masses. The most destructive consequences of this process can be witnessed in the United States, where Democrat and Republican supporters become not just political opponents but real antagonists.Social media, search engines and news aggregators, developing their capacity as political actors, pave the way to a qualitative change in the established electoral practices. The greatest concern is the ability of IT-companies to manipulate the political consciousness and behavior of citizens during crucial election campaigns. Considering this circumstance, the authors raise a question about the need to regulate the political and communication processes unfolding on the Internet platforms.

Emergency Remote Learning in Nursing Education During the COVID-19 Pandemic.

Due to the corona (COVID-19) pandemic, several countries are currently conducting non-face-to-face education. Therefore, teachers of nursing colleges have been carrying out emergency remote education. This study developed a questionnaire to understand the status of Emergency Remote Learning (ERL) in nursing education internationally, translated it into 7 languages, and distributed it to 18 countries. A total of 328 nursing educators responded, and the most often used online methods were Social networking technology such as Facebook, Google+ and Video sharing platform such as YouTube. The ERL applied to nursing education was positively evaluated as 3.59 out of 5. The results of the study show that during the two semesters nursing college professors have well adapted to this unprecedent crisis of teaching. The world after COVID-19 has become a completely different place, and nursing education should be prepared for 'untact' education.

The Effects of Technological Interventions on Social Participation of Community-Dwelling Older Adults with and without Dementia: A Systematic Review.

Social isolation in community-dwelling older adults with dementia is a growing health issue that can negatively affect health and well-being. To date, little attention has been paid to the role of technology in improving their social participation. This systematic review aims to provide a systematic overview of the effects of technological interventions that target social participation in community-dwelling older adults with and without dementia. The scientific databases Medline (PubMed), PsycINFO, CINAHL, Web of Science, and the Cochrane Library were systematically searched and independently screened by two reviewers. Results were synthesized narratively. The methodological quality of included studies was independently assessed by two reviewers. In total, 36 studies of varying methodological quality were identified. Most studies evaluated social networking technology and ICT training programs. Three studies focused on people with dementia. Quantitative findings showed limited effects on loneliness, social isolation, and social support. Nevertheless, several benefits related to social participation were reported qualitatively. Social interaction, face-to-face contact, and intergenerational engagement were suggested to be successful elements of technological interventions in improving the social participation of community-dwelling older adults. Rigorous studies with larger sample sizes are highly needed to evaluate the long-term effects of technology on the multidimensional concept of social participation.

Model of Data Collection Control in the Internet of Things on the Basis of Social Network Technologies

The paper deals with the issues of data collection in the dynamic Internet of Things network. An approach proposed is based on the models and methods of social networks analysis along with clustering methods commonly used in this case. The developed hybrid model tracks contacts between nodes of the network thus creating “social relationships” for each node and estimates the number and the frequency of “social contacts” characterizing the degree of “friendships”. After fixing the contacts between nodes the model takes into consideration only the nodes connected by “friendship” relation. Data collection based on “social structure” provides higher security level and shows the enhancement as regards energy saving and delays of data transfer.

P3OI-MELSH: Privacy Protection Target Point of Interest Recommendation Algorithm Based on Multi-Exploring Locality Sensitive Hashing.

With the rapid development of social network, intelligent terminal and automatic positioning technology, location-based social network (LBSN) service has become an important and valuable application. Point of interest (POI) recommendation is an important content in LBSN, which aims to recommend new locations of interest for users. It can not only alleviate the information overload problem faced by users in the era of big data, improve user experience, but also help merchants quickly find target users and achieve accurate marketing. Most of the works are based on users' check-in history and social network data to model users' personalized preferences for interest points, and recommend interest points through collaborative filtering and other recommendation technologies. However, in the check-in history, the multi-source heterogeneous information (including the position, category, popularity, social, reviews) describes user activity from different aspects which hides people's life style and personal preference. However, the above methods do not fully consider these factors' combined action. Considering the data privacy, it is difficult for individuals to share data with others with similar preferences. In this paper, we propose a privacy protection point of interest recommendation algorithm based on multi-exploring locality sensitive hashing (LSH). This algorithm studies the POI recommendation problem under distributed system. This paper introduces a multi-exploring method to improve the LSH algorithm. On the one hand, it reduces the number of hash tables to decrease the memory overhead; On the other hand, the retrieval range on each hash table is increased to reduce the time retrieval overhead. Meanwhile, the retrieval quality is similar to the original algorithm. The proposed method uses modified LSH and homomorphic encryption technology to assist POI recommendation which can ensure the accuracy, privacy and efficiency of the recommendation algorithm, and it verifies feasibility through experiments on real data sets. In terms of root mean square error (RMSE), mean absolute error (MAE) and running time, the proposed method has a competitive advantage.

Examining multiple engagements and their impact on students' knowledge acquisition: the moderating role of information overload

PurposeKnowledge acquisition is a pivotal concern for the students and many sources help them to obtain knowledge. In this paper, the authors theoretically examine three engagements such as social media, peer and academic engagement by the theoretical foundation of engagement theory which tells that students interact and collaborate, sharing information for the acquisition of knowledge that enhances their academic performance. But due to the abundance of information, knowledge and resources available to students for the acquisition of knowledge, it becomes difficult for them to comprehend the most relevant information. In this vein, this study examined the impact of information overload on the relationship between social media, peer and academic engagement and knowledge acquisition of students.Design/methodology/approachThe proposed model and structural relationships were validated using the structural equation modeling (SEM) technique through AMOS, version 24.0. To empirically test the hypothesized model, data are collected from the universities of the Sahiwal region (Sahiwal, Okara, Pakpattan) using structured questionnaires.FindingsThe findings revealed that social media engagement and academic engagement are positively associated with knowledge acquisition, whereas peer engagement is negatively associated with knowledge acquisition. Moreover, the results of the study further suggested that information overload dampens the positive relationship between social media, peer and academic engagement and knowledge acquisition, which causes negative consequences on students' knowledge acquisition and learning outcomes.Research limitations/implicationsResearchers can use this study as the literature as many of the previous studies focused on the positive side of social networking sites and technologies for knowledge purposes, but this study extends the research and focused on the other side of the picture which has been ignored earlier by researchers. The authors theoretically explained the adverse effects of information overload on students' academic progress caused by social media and the abundance of irrelevant information these advanced technologies offer daily. The current research focused on identifying the critical role of social media, peer and academic institutions providing a lot of information to students which caused stress, anxiety and other psychological issues in them. So, this study adds to the literature by highlighting the adverse effects of unnecessary information provided by multiple resources to students.Practical implicationsEducationalists can adopt this study as a tool in academic institutions for promoting learning and to actively engage students in collaborative learning activities. As the findings of the study confirm that information overload is caused by the imbalanced use of information technology (IT) and social media sites, so teachers can help students in developing creativity and maintaining the balance between using technology and innovation in their studies pattern. Universities and institutions can play a vital role by exploring further opportunities for students and by making such policies that can help students in their learning progress. For this purpose, the authors developed a model based on the literature and theories that could change the academic system of Pakistan and enhance students’ practical knowledge by motivating students in taking part in learning activities by making the higher education system of Pakistan more engaging.Social implicationsThe authors are presenting simulation games-based learning as an alternate approach to learning and teaching that can positively influence students' engagement with learning activities in Pakistan. By adopting this model, the education system of Pakistan could improve as it can lead to better academic performance of students, which ultimately leads to a better education system. Thus, games if correctly designed and implemented in the education system of Pakistan, it can make a great difference in students' value of learning experience. The enjoyment, interactive and realistic nature of the simulation games appears to produce this value, and students tend to engage more toward these types of games rather than traditional learning methods. Simulation games provide students with an opportunity to engage in both hard (financial management, strategy making, decision-making) and soft skills (negotiation, collaboration) in business by challenging their thinking and decision-making power in a safe learning environment.Originality/valueThe phenomena of overload have become increasingly viable due to abundance of resources providing unnecessary information to students as they can get information from peers, teachers, social media platforms, blogs, wikis and many other platforms, which ultimately exhaust their capacity and leading them toward poor academic performance and other negative consequences (Yu, 2019; Bosch, 2016). This study focuses on students of higher education in Pakistan (Sahiwal region) and discusses the major challenges and opportunities that they had to face with the advancement of technology and the current social state of the knowledge in society.

A Comparative Analysis of Various Local Feature Descriptors in Content-Based Image Retrieval System

Image acquisitions are increasing day by day due to progress in social networking and digital technologies. Nowadays, with the evolution of various image capturing devices, an enormous quantity of complex images is being produced.content-primarily based image Retrieval (CBIR) is the answer to access images without difficulty wherein proper indexing and association are required. It makes CBIR a distinguished field in computer vision research. There are several uses of CBIR systems in day to day life for example medical, internet, scientific research and various other communication media. In the CBIR system, the user gives a query to obtain images from large datasets having a large number of images. In information transfer via electronic media using particular formats of data, images play an essential role. The extraction of information from communicated images is necessary with extra processing. In this paper, a comparative survey has been carried out on different content-based image retrieval implementation. These methods are determined by several authors for the feature extraction process of images and classification. This will help to plan the strategy for optimizing the CBIR system.

Bootstrap inference for network vector autoregression in large-scale social network

A large amount of online social network data such as Facebook or Twitter are extensively generated by the growth of social network platforms in recent years. Development of a network time series model and its statistical inference are as important as the rapid progress on the social network technology and evolution. In this work we consider a network vector autoregression for the large-scale social network, proposed by Zhu et al. (Ann Stat 45(3):1096–1123, 2017), and study its bootstrap estimation and bootstrap forecast. In order to suggest a bootstrap version of parameter estimates in the underlying model, two bootstrap methods are combined together: stationary bootstrap and classical residual bootstrap. Consistency of the bootstrap estimator is established and the bootstrap confidence intervals are constructed. Moreover, we obtain bootstrap prediction intervals for multi-step ahead future values. A Monte-Carlo study illustrates better finite-sample performances of our bootstrap technique than those by the standard method.

An efficient multistage CBIR based on Squared Krawtchouk-Tchebichef polynomials

Image databases are increasing exponentially because of rapid developments in social networking and digital technologies. To search these databases, an efficient search technique is required. CBIR is considered one of these techniques. This paper presents a multistage CBIR to address the computational cost issues while reasonably preserving accuracy. In the presented work, the first stage acts as a filter that passes images to the next stage based on SKTP, which is the first time used in the CBIR domain. While in the second stage, LBP and Canny edge detectors are employed for extracting texture and shape features from the query image and images in the newly constructed database. The proposed CBIR was tested against existing algorithms on well-known database (Wang’s database), where Manhattan distance is used as a similarity metric. The improvement ratio in terms of computation time between the proposed system and existing system achieves 73.99%, which is considered a promising result.

‘Do we need to use a wiki, Miss?’

Blogs, wikis, nings, Google, del.icio.us, YouTube, Skype, Facebook, Flickr, Twitter… the list is endless. Social networking technologies have become an integral part of life – supporting our work, learning and social activities on a daily basis. As new technologies emerge, we make decisions about adopting these as part of the suite of tools we prefer to use to complete information, communication and learning tasks. As social networking technologies are integrated across the curriculum in schools, how do students cope with the introduction of these new technologies, particularly with regard to the development and management of their own personal technology toolkit? What features of new technologies are valued by students in supporting their learning? What factors influence students’ decision making in terms of adopting or rejecting a new technology as part of their personal toolkit? These questions are explored based on findings of a doctoral study which examined the use of Web 2.0 technologies to support students’ completion of an inquiry-based assignment.

Catching silver consumers in China: an integrated model of Chinese older adults' use of social networking technology

PurposeThis study aims to gain a more holistic understanding of Chinese older adults' perceptions and use of social networking technology.Design/methodology/approachGrounded in the extended unified theory of acceptance and use of technology (UTAUT2) and expectation-confirmation (ECM) theory, the study proposed an integrated social media user engagement model and tested the model utilizing the data collected from 323 Chinese older adults.FindingsThe results reveal that half of the relationships in the proposed model were supported. Specifically, performance expectancy, facilitating conditions, social influence and hedonic motivation were all found to have a significant positive influence on perceived value. In addition, the results confirmed the positive impact of facilitating conditions on satisfaction. Both perceived value and satisfaction were also found to have a significant positive effect on Chinese older adults' intention to engage in social networking technology.Originality/valueChinese older adults are embracing Internet technologies at a greater rate; thus, understanding their perspectives of social networking technology offers valuable insights. This empirical study enhances understanding of the nature and strength of the relationships in the proposed integrated social media user engagement model in the context of Chinese older adults.

Development of Educational Tools in Russia to Accumulate Knowledge about Sequestration Technologies

The latest technologies for climate change mitigation are carbon capture and storage (CCS). Some countries are developing CCS projects, and they are currently at different stages of deployment. Despite the signing of international agreements on climate change mitigation, Russia does not ensure the development of CCS technologies and their implementation. Given the long-term development of such technologies, its main goal is to raise public awareness of carbon capture, storage and use.Currently, the problem of creating public awareness about CCS technologies has gained a huge momentum in the Russian Federation. A high level of awareness and approval of such projects will encourage the deployment of CCS projects in the Russian Federation.The purpose of this article is to study the level of awareness of the Russian society regarding CCS technologies, as well as to develop a multi-level complex system of measures to ensure that such awareness is raised in the near future.To achieve this goal, we used such methods as research of secondary and primary sources of information on this topic. In addition to analyzing the information of scientific publications on the subject under study, both secondary (content analysis of printed media materials, video hosting, social networks) and primary research (personal survey, experiment) were conducted.As the most important results, we can highlight the obtained structure of popularity of environmental information sources among students of two universities in Saint Petersburg. In addition, it has been proved that currently in the Russian Federation, insufficient attention is paid to the popularization of carbon sequestration technologies. the analysis of the dissemination of information about CCS technologies in social networks, school textbooks, Newspapers, and video hosting services was carried out. Content analysis of existing social groups and videos in social networks is presented.

Investigating the role of social networking technology on the organizational agility: a structural equation modeling approach

PurposeThe current extensive business ecosystem, characterized by technological advances and development, impressive customers, and increasing social concerns, has exerted great pressure on business organizations. Among different business values for affording this pressure, organizational agility is a critical factor that should be carefully incorporated in business processes. The main purpose of the present study is to investigate the role of social networking technology, as a crucial collaborative tool, on organizational agility.Design/methodology/approachA model based on structural equations was designed in this regard. The constructs of this model are quality of service, varieties of services, costs and speed of service as independent variables and also agility management as a dependent variable. Based on the conceptual model, a questionnaire was prepared and distributed among the experts of social networking technology and agility management. Based on Cochran's formula the sample size was 384. The response rate was 100%. The main statistical measures such as Chi-square ratio to the degree of freedom, Non-soft Fitness Index (RMSEA), Goodness of Fit Index (GFI) and Modified fitness index (AGFI) were employed for analyzing the model.FindingsResults of obtained data indicated that a variety of services as the main factor of social networking technology has the most impact on the agility of a company. Then, the speed of service, service quality and costs were ranked respectively in second to fourth. Providing information technology (IT) service perceptions, promoting the service climate and thorough identification of IT requirements are the main critical success factors for maintaining a robust impact of social networking technology on organizational agility. Moreover, a well-designed enterprise structure alongside employing newly developed IT infrastructures such as cloud computing certainly improves the capabilities of organizations to improve their agility.Originality/valueAlthough the literature suggests a positive impact among IT or social networks on organizational agility, it is deficient in relation to considering the impact of social networking. Furthermore, a structural equation model (SEM) is used for assessing unobservable latent constructs and their related interrelationship.