Mobile Social Platform Research Articles

더우인 여행 쇼트 클립이 실버노인의 여행의도에 미치는 영향

With the advancement of digital and information technology, along with the increasing prevalence of internet access, the use of mobile social platforms among the elderly has been on the rise. However, research on the elderly population in the tourism sector remains relatively scarce. Therefore, this study aims to investigate the impact of Douyin travel short clips on the travel motivation and intention of the elderly, focusing on the elderly population in China. Specifically, the study seeks to address the following research questions: First, what influence do the characteristics of Douyin travel short clips on social platforms have on the travel motivation of the elderly? Second, how does the travel motivation of the elderly in China affect their travel intention? To address these questions, a structural equation model will be constructed with the characteristics of Douyin travel short clips, attitudes, subjective norms, perceived behavior control, and travel intention. The analysis revealed that all variables have a significant positive (+) impact on each other. Consequently, this study combines motivation theory and planned behavior theory to analyze the travel intention of the elderly in China, enriching the research on travel intention among the elderly population. Through this research, theoretical knowledge can be verified and expanded, leading to a better understanding of tourism behavior among the elderly. Additionally, it can assist social platform service providers and travel-related companies in developing digital marketing and service strategies targeting the elderly population. Moreover, it can also be utilized to improve travel-related programs and policies targeting the elderly, providing practical significance.

How the digital empowerment of mobile social platforms improves Chinese traditional retail enterprises’ operational performance: from the knowledge management capabilities perspective

PurposeBased on the perspective of knowledge management capability, this paper aims to reveal the internal mechanism of the digital empowerment of mobile social platforms to improve the operational performance of Chinese traditional retail enterprises. Such improvements have crucial theoretical value and practical implications for Chinese traditional retail enterprises to achieve transformation and sustainable development.Design/methodology/approachThis study applied the typical analysis method, selected China’s leading mobile social platform, WeChat, as a typical case, and observed and analyzed the public data of the traditional retail industry and social platforms and interviews with relevant enterprises. On this basis, this study used the inductive and deductive methods of qualitative research to conduct an in-depth analysis of the mechanism by which WeChat’s digital empowerment improves the operational performance of Chinese traditional retail enterprises. It also discussed the critical role and path knowledge management capabilities play in this mechanism.FindingsThis research demonstrated that mobile social platforms empower Chinese traditional retail enterprises to build diversified digital channels, enhance the knowledge acquisition capability of enterprises and thus improve their performance; empower Chinese traditional retail enterprises to build digital community networks, enhance the knowledge diffusion capability of enterprises and thus improve their performance; and empower Chinese traditional retail enterprises to integrate online and offline businesses, enhance the knowledge integration capability of enterprises and thus improve their performance.Research limitations/implicationsThis study clarifies the internal mechanism of how the digital empowerment of mobile social platforms can improve the performance of Chinese traditional retail enterprises. This mechanism implies that knowledge management capabilities (knowledge acquisition, diffusion and integration capability) are the underlying logic for Chinese traditional retail enterprises to achieve higher performance levels. This has important practical implications for managers of Chinese traditional retail enterprises to leverage the digital infrastructure of mobile social platforms to achieve the sustainable development of enterprises.Originality/valueThis study provides an in-depth analysis of how the traditional retail industry uses digital social platforms to improve operational performance from the perspective of knowledge management capabilities, which can further promote the theoretical research and practical development of digitalization and knowledge management. At the same time, this study explored the research on the operational performance of Chinese traditional retail enterprises from the perspective of knowledge management capabilities and expanded the research on knowledge management in related fields. The authors have initially sorted out the impact of knowledge management capabilities on the operational performance of Chinese traditional retail enterprises in the digital era. This will help better understand the role and function of knowledge management in strategic transformation and expand the application of knowledge management theory.

ВПЛИВ КОМУНІКАЦІЙНИХ ТЕХНОЛОГІЙ НА ПРОЦЕС АДАПТАЦІЇ УКРАЇНСЬКИХ БІЖЕНЦІВ У СЛОВАЧЧИНІ

This article is the result of an ethnographic study designed to reveal the interaction between modern communication technologies and the processes of adaptation of Ukrainian refugees in Slovakia, which takes place in an extremely complex socio-cultural context. The author aims not only to describe the facts, but also to offer in-depth analysis and theoretical reflections that allow us to better understand the impact of communication technologies on the process of refugee adaptation. The article offers a broad overview of the communication tools used by Ukrainian refugees in Slovakia, examining their role in identity formation, adaptation strategies, and interaction with the local population. The author uses ethnological methods to examine the dynamics of these interactions in detail, paying attention to the psychosocial and cultural dimensions of the adaptation process. The article reveals how the use of mobile applications, social platforms, and other technologies affects language learning, cultural heritage preservation, and the development of social networks and virtual communities on Facebook and Telegram. The study details the obstacles and benefits that arise from this interaction, as well as the ethnic and cultural aspects of the adaptation process. It also highlights the blocks of information most often sought by Ukrainian refugees in virtual communities. The author focuses on the issues of cybersecurity and privacy related to the use of technology, as well as their impact on the preservation of individual and collective rights and freedoms of Ukrainian refugees. The article takes into account the ethical requirements and challenges arising from the use of modern communication tools in the process of migration adaptation. The conclusions of the article emphasize that the use of technology is a key factor that helps Ukrainian refugees to preserve their cultural identity, expand social ties, and successfully adapt to the new socio-cultural environment. The article also identifies prospects for further research on the impact of communication technologies on migration dynamics and adaptation strategies.

The Identity Construction of Microblog Users from the Perspective of Impression Management Theory

In recent years, the emergence of mobile social media and platforms has made the communication between people more and more convenient. As a social media platform based on user relations, microblog users can realize the real-time sharing and interaction of information in the form of multimedia such as text, pictures and videos. Therefore, it is of certain theoretical and practical significance to study how microblog users use this new social stage for impression management and identity construction. Based on impression management theory, this study adopts the method of combining qualitative and quantitative to analyze and study the motivation and strategy of ordinary microblog users (different from celebrities) when using microblog and their construction identities. The research shows that when ordinary microblog users use Weibo for impression management, most users prefer to use acquired impression management strategies, publishing positive, healthy and upward content, and through these they construct positive personal identities. In addition, the main motivation of these users for using microblog is to win likes and attention from others, which is beneficial for users to manage their image and better promote the healthy development of social network.

Uncovering the dual influence processes for click-through intention in the mobile social platform: An elaboration likelihood model perspective

The burgeoning growth of mobile social platforms has gained the attention of advertisers, and the way how to stimulate users’ click-through intention in the virtual social community is becoming a research focus of scholars. Drawing on the elaboration likelihood model (ELM), this study develops a theoretical framework to examine the mediation effects of cognitive vs. affective trust on the relationship between dual routes (central route vs. peripheral route) and users’ click-through intention in the context of mobile social platforms. Particularly, users’ prior product experience is incorporated in the research model to examine its moderating effect on the influence processes. A scenario-based survey is conducted in China, and the partial least square method is used to analyze the data. Empirical results suggest that perceived content personalization is positively associated with cognitive trust, and its influence is stronger for experienced users with the recommended product. Social recommendation is positively associated with affective trust, and its impact is higher for users without prior product experience. Advertiser reputation is positively associated with both cognitive trust and affective trust, and its effect on cognitive trust is stronger for users without prior product experience, while its impact on affective trust is higher for users with prior product experience. Moreover, cognitive trust is positively associated with affective trust, and the two trust mechanisms have positive influences on click-through intention toward the recommended product. We discuss theoretical and practical implications in the final section.

Outdoor patient classification in hospitals based on symptoms in Bengali language

ABSTRACT In recent years, Bangladesh has seen significant development in the digitalization of various healthcare services. Although many mobile applications and social platforms have been developed to automate the services of the healthcare sector, there is still scope to make the process smooth and easily accessible for general people. This paper describes a system where the users can give their health-related problems or symptoms in the native Bengali language, and the system would recommend the medical specialist the user should visit based on their stated symptoms. The data is processed using various Natural Language Processing techniques. In this study, we have applied both Machine Learning and Deep Learning-based approaches. Three different models of Machine learning and four models of deep learning have been applied, analyzed and the accuracy of various models is evaluated to determine the best one that could provide superior performance on the given dataset. From the pool of traditional machine learning algorithms, the Random Forest (RF) classifier gives the highest accuracy of about 94.60% and Convolutional Neural Network performs the best among the deep-learning models, with an accuracy of 94.17%.

I know what you did on Venmo: Discovering privacy leaks in mobile social payments

Venmo is a US-based mobile social payments platform. Each Venmo transaction requires a “payment note”, a brief memo. By default, these memos are visible to all other Venmo users. Using three data sets of Venmo transactions, which span 8 years and a total of 389 M transactions with over 22.5 M unique users, we quantify the extent of private data leaks from public transaction notes. To quantify the leaks, we develop a classification framework SENMO, that uses BERT and regular expressions to classify public transaction notes as sensitive or non-sensitive. We find that 41 M notes (10.5%) leak some sensitive information such as health condition, political orientation and drug/alcohol consumption involving 8.5 M (37.8%) users. We further find that users seek privacy by making their notes private, inconspicuous or cryptic. However, the large increase in Venmo’s user base means that the number of users whose privacy is publicly exposed has grown substantially. Finally, the privacy of a user who transacts with a group on Venmo can be reduced or eliminated through the actions of other users. We find that this happens to around half of Alcoholics Anonymous, gambling and biker gang group members. Our findings strongly suggest that public-by-default payment information puts many users at risk of unintended privacy leaks.

Ethical Problems and Countermeasures in the Operating Activities of WeChat Business

WeChat business is inevitable in the development trend of the era and the development of mobile Internet. WeChat business, as a special commercial activity carried out by human beings in the mobile Internet, is special in the commercial operation activities relying on the mobile Internet social platform that is built based on the mobile Internet technology. The particularity of WeChat business’s operating activities determines that WeChat business has special ethical requirements. However, as WeChat business is a new economic form in economic construction and development, some ethical problems in WeChat business operations have gradually emerged, and to different degree affect the development of WeChat business and even the economy, which requires us to face this problem and solve the ethical problems of WeChat business with strong measures.

Level of ERAS understanding affects practitioners\u2019 practice and perception of early postoperative resumption of oral intake: a nationwide survey

BackgroundEarly postoperative resumption of oral intake is supposed to be safe and beneficial to patients recovery. However, practitioners still have great confusion and disagreement about postoperative resumption of oral intake. This is a nationwide survey to investigate the current status of clinical practice and practitioners’ attitude toward postoperative resumption of oral intake along with their level of understanding of the ERAS guidelines.MethodsAn anonymous web-based survey questionnaire via mobile social platform was carried out in mainland China from December 11–20, 2020. The Wilcoxon signed rank test or chi-square test was used to compare the propensity of the resumption of oral intake.ResultsTotally 5370 responses were received, and 89% of them were from anesthesiology departments. The nature of the responses from clinical practitioners was highly diverse, but each of the three surgery types showed unique patterns of ERAS implementation. The respondents were more conservative regarding the commencement of both fluid and solid diets after gastrointestinal (GI) and hepato-pancreato-biliary (HPB) surgery than after non-abdominal (NA) surgery. Most respondents agreed that early oral intake is beneficial to reduce postoperative complications improve bowel recovery and overall outcome. 55% respondents considered themselves to have a better understanding of ERAS and tended to initiate oral intake early for all three surgery types (P < 0.001).ConclusionsThe postoperative resumption of oral intake is highly variable among GI, HPB and NA surgeries. A better understanding of ERAS would encourage practitioners to commence oral intake resumption much earlier.

An investigation on information quality, media richness, and social media fatigue during the disruptions of COVID-19 pandemic.

Mobile social platforms have become a valuable information source by which users gain information about the COVID-19 pandemic. However, little is known about whether users have experienced increased daily fatigue as a result of the disruptions caused by pandemic. Drawing on the cognitive activation theory of stress (CATS), this study proposed that two typical characteristics of social media platforms (SMP), information quality and media richness, are associated with event disruptions of the COVID-19 pandemic (EDC), and then induce social media fatigue. To address this, this study used the experience sampling method (ESM), collecting 550 matched cases from 110 users of the WeChat application in mainland China over five consecutive days. Through multilevel structural equation modeling (MSEM), this study discovered three main findings: (1) daily information quality is negatively related to event disruptions of the COVID-19 pandemic, which in turn decreases daily social media fatigue; (2) daily media richness is positively associated with such event disruptions, which ultimately increases daily social media fatigue; (3) these effects were stronger for users who reported higher (vs. lower) levels of health consciousness. The implications of these results for the COVID-19 pandemic and beyond are discussed.

Impulsive purchasing and luxury brand loyalty in WeChat Mini Program

PurposeThis study aims to explore the impact of the use of the WeChat Mini Program by luxury brands on consumers' fashion impulsive purchasing and brand loyalty.Design/methodology/approachThe stimulus–organism–response (S–O–R) model is adapted to construct a model (i.e. stimulus: patron status, informativeness and entertainment; organism: perceived enjoyment and perceived usefulness; responses: impulse buying behavior and luxury brand loyalty). An online survey was conducted by 200 Chinese participants who experienced WeChat Mini Program and luxury brand purchase.FindingsThe results indicate that luxury consumption related factors, task-related factors and mood-related factors in WeChat Mini Program have positive effects on consumers' impulsive purchasing behavior through perceived enjoyment and perceived usefulness.Research limitations/implicationsThis study provides a new understanding about factors influencing consumers' behaviors and brand loyalty in WeChat Mini Program.Originality/valueThe mobile social platform has been considered as an advanced tool for advertising. As the most popular mobile social media used by over 1 bn monthly active Chinese users—WeChat, little research attention has been attracted by researchers. To stress the WeChat Mini Program's role in the S-commerce background can fill the gap between the literature of the utilization of new marketing tools in retailing, marketing and the whole fashion industry. In terms of marketing management, the paper conducted research that participated by new generation consumers and offers some practical managerial implications for brands, retailers and marketers to generate new business models and marketing strategies.

Формування цифрового комунікативного середовища з надання енергетичних послуг на засадах кліматично нейтрального розвитку

The setting of sustainable development goals is directed towards improving the level and quality of life of the population by reducing anthropogenic impact on the environment and transition to a climate-neutral development. One of the ways to address this issue is to popularize alternative energy sources, introduce energy-efficient technologies and energy management. In view of this, the article is concerned with determining the peculiarities of the formation of a communicative environment for the provision of the climate-neutral energy services as result of the use of digital technologies. The expansion of the range of innovative energy services is due to the diversification of energy sources. As a result of the analysis of the dynamics of the development of «green» energetics, on the basis of statistical data, positive dynamics of energy production from renewable sources is established (wind, solar, hydroelectric power plants, biofuels, and waste). In turn, in terms of considering aspects of digitalization of production processes and provision of services, a low level of information and media activities on the possibilities of obtaining «green» energy services by the population is identified. In view of this, the value of using digital technologies such as mobile (social) platforms is increasing. It is proposed, concerning the content component of the formation of a digital communicative environment for the provision of energy services on the basis of climate-neutral development, to use a rating assessment of energy service companies, the level of digitalization of business processes of enterprises and the formation of digital skills among consumers of different segments of the energy market, as well as a cybernetic approach to determining the ability to provide innovative energy services.

Repertoires, identities, and issues of collective action in the candlelight movement of South Korea

In this case study, we examine the evolution of particular themes and identities of collective action. Using the 2016 Candlelight Movement in South Korea as a case study, we attempt to understand how communication processes construct the sociocultural meanings of collective action. We argue that understanding a social movement requires comprehension of the communicative actions of the movement participants, either physically or symbolically engaged, through which they together make sense of the broad contexts and meanings of the movement as they actively pursue construction of the identities and themes of the collective action. Based on a communication perspective of social movements, we developed three research questions regarding the specific features of the collective action repertoire, collective identities and issue framing. Considering the extensive impact of media communication technologies in mobilising collective action in South Korea, especially mobile social networking platforms, we chose one of the most popular social network sites, Twitter, as the data source of communicative actions for the study. Content analysis and semantic network analysis was conducted with a sample of 1,779,902 tweets. Based on the analyses, we suggest that the collective action and identities both shape and are shaped by the communication networks of the movement participants as they interact with not only the counter-movement actors, but also the movement’s social, economic and cultural conditions.

How a company’s gamification strategy influences corporate learning: A study based on gamified MSLP (Mobile social learning platform)

Advances in personal devices and communication technologies have changed the learning landscape. Gamification is the use of technology to promote and induce the user's internal motivation by exploiting the game's characteristics. Recently, mobile learning applications introduce various gamification strategies to provoke users' voluntary participation. However, empirical evidence on how to attract users and influence sustained usage is limited. This study establishes a theoretical basis for designing learning applications and discusses its impact on business. A series of gamification strategies such as Competition, Challenge, Compensation, Relationship, and Usability, were applied to a company's Mobile Social Learning Platform (MSLP). A survey result of 293 users from South Korea was used for the advanced mediation model analysis. The result showed that Challenge, Relationship, and Usability had affected Flow and Continuous usage intention. This paper argues that the user's usage intention will have a positive effect on voluntary learning. It also provides a significant implication for organizational effectiveness through the development and application of mobile learning platform.

Credibility Assessment of Mobile Social Networking Users Based on Relationship and Information Interactions: Evidence From China

Personalized, diversified and decentralized mobile social networking platforms provide users with an environment for accessing, sharing, distributing information and communicating emotionally. In this virtual social space, effective identification of trusted nodes can assist social networking users to make interactive strategies, and provide enterprises with scientific basis for the social interactive marketing decisions. Therefore, trust assessment plays a crucial role in establishing social connections among mobile social networking users. In this paper, based on the social relationship and information interactive data between the users of Sina Weibo, four factors, the intensity of social relations, the sphere of social influence, the information value and the control of information transmission are taken into account to build the trust assessment model. Secondly, the trust between users is quantified by node credibility and entropy weight method is employed to calculate the four factors' contribution to the node credibility respectively. Finally, the credibility of each node in Sina Weibo is calculated to identify the trusted nodes.

Microlending on mobile social credit platforms: an exploratory study using Philippine loan contracts

Microlending has grown rapidly and now benefits around 250 million people globally, half who would otherwise not have access to credit. Use of social credit systems for microlending risk assessment is most pronounced in Asia, as most Western countries tightly regulate personal information available to lenders. In most of the developing world, geography, social structure, disease, climate and culture have a much stronger influence on credit risk and borrowing than do governmental and corporate systems. In this study, we obtained 784 loan contracts with 3577,912 personal communications and locations. Exploratory analysis found loan default depends on social network structure; graph analysis indicated that those who were likely to default tended to communicate with other likely defaulters. Detailed tests were equivocal, suggesting that social network communication structure provided little additional information to predict default, and may even add noise to the data. Our tests strongly supported the importance of location and proximity to particular sorts of landmarks on the potential for default. Proximity to some landmarks, e.g. city hall, moving companies and train stations, were associated with lower loan default. Others, such as parks, stadiums and bus stations, were correlated with a higher loan default. We restructured our tests based on risk-return versus loan default effect with little change in results.

Use of social media in a national Tuberculosis Drug Resistance Survey: lessons from the first anti-tuberculosis drug resistance survey in Ghana

Background: The widespread use of social media applications on mobile phones indicate that smart phones have become more than just a simple medium for voice calling. Several studies have shown the potential benefit of these social media applications in discussing many health conditions. We report on tracking sample transport by public and private transport providers using WhatsApp during the first nationwide drug resistance tuberculosis (TB) survey in Ghana. Methods: The survey was conducted between February 2016 and June 2017, and involved 33 TB diagnostic sites selected on the basis of a two-stage cluster randomized sampling design on both anticipated yield and probability proportional to size method. We engaged the services of privately and publicly owned vehicles’ union to transport samples to the Bacteriology department at the Kumasi Centre for Collaborative Research in Tropical Medicine laboratories for further laboratory processing. We created a mobile social group platform (‘National TBDRS’) on WhatsApp consisting of two representatives from each site as well as other stakeholders. The purpose was to notify a laboratory team in Kumasi, on the following details of the sample: date and time of dispatch, driver’s name, car number, estimated time of arrival, and bus terminal name. Results: A total 3077 WhatsApp messages were received during the survey period. Of these, 2879 (93.57%) messages were related to the survey. We observed a positive correlation between the total number of messages received and the total number of well-packaged sputum samples sent (r=0.89, p=0.02). There were no major transport delays (11:44±03:50) and all samples arrived within a 3-day window from the survey sites. Conclusions: Using WhatsApp as a platform of communication can aid in improving tracking of samples, enhance accountability of for example drivers handling the samples over at a road crossing and communication across health facilities.

Occupant Behavior for Energy Conservation in Commercial Buildings: Lessons Learned from Competition at the Oak Ridge National Laboratory

Accompanying efforts worldwide to deploy sustainable building technologies shows a pressing need for expanded research on occupant behavior. Discourse is lacking concerning drivers of occupant behavior for energy conservation, especially in the case of commercial buildings. This paper explores potential determinants of occupant behavior for energy conservation in commercial buildings. This is investigated in a case study of a two-month energy conservation competition involving eight office buildings at the Oak Ridge National Laboratory. Four buildings achieved energy savings based on the previous year’s baseline. Potential challenges and success factors of occupant behavior for energy conservation during the competition were explored based on an explanatory research design incorporating energy data, participant interviews, and surveys. The findings suggest that both social and technological aspects may be important drivers of energy conservation. The determinants of occupant behavior for energy conservation in commercial buildings suggested for further research include bottom-up involvement, stakeholder relationship management, targeted information, real-time energy visualization, and mobile social platforms. This paper presents initial implications, with a need for further research on these propositions and on their impacts on occupant behavior. This paper aims to contribute to both academia and practitioners in the arena of commercial building sustainability.

Research on the Model of Lyric Emotion Algorithm

With the rapid development of Internet technology, various social networking platforms, especially mobile social networking platforms, continue to increase, resulting in a large amount of public opinion information. Internet public opinion has a clear emotional orientation, and its emotional orientation is very easy to spread and be infected, and even affect the development of the event. Aiming at the characteristics of lyric information rich and which are easy to change with time, the lyric theme analysis model and the lyric emotion evolution model are proposed. The LDA model is used to extract the topic from the lyric text in a period of time, and the sensational heat value is calculated according to the forwarding amount and the number of comments, and the lyrical theme with the highest heat is obtained. The relative entropy between sub-topics in the adjacent time slice of a specific hot topic is calculated, and the degree of association between the topics in the adjacent time slice is determined, thereby analyzing whether there is a split of the sub-topic and a new topic. Then the evaluation object is extracted, combined with the joint deep neural network model to judge the emotions of each evaluation object in different time, and the emotional evolution of the hot topic is analyzed from multiple dimensions. Finally, an example analysis of the network public opinion information from June to July 2018 is carried out to verify the validity of the above model. The model effectively solves the problems of immature emotion analysis model and low accuracy of emotion classification in the current public opinion analysis.

Contract Mechanism and Performance Analysis for Data Transaction in Mobile Social Networks

In this paper, a novel mobile data offloading method is proposed based on an external-infrastructure-free approach. Specifically, through the hotspot function of smartphones, data demands from some mobile users, who have used out the data with their monthly data plans, can be offloaded by some other mobile users who still have redundant unused data. In order to model this data transaction among mobile users, which can be realized with assistance of current mobile social platforms, we introduce an auction-based contract mechanism, and then we further analyze the system performance. To improve the efficiency and performance of the system, a socially-aware mobility model is also designed. In this model, betweenness of the data auctioneers is introduced, according to which the number of data requesters in different auctions can be balanced and the performance of the system can be optimized. The proposed data transaction mechanisms and friendship-aware mobility model are then simulated as operating on Flickr, a real-world online social network database. Results show that the number of data bidders in different auctions can be balanced effectively through the proposed mobility model, and the income per unit time of sellers in the networked data transaction can also be increased.