scholarly journals An Empirical Study of Social Commerce Intention: An Example of China

Information ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 99
Author(s):  
Chao-Hsing Lee ◽  
Chien-Wen Chen
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Social Interaction ◽  
Research Evaluation ◽  
Information Support ◽  
Social Commerce ◽  
Slowing Down ◽  
The Social ◽  
Internet Information ◽  
Positive Effect

The rise of social networks is rapidly spreading in China. Using social platforms, individuals are no longer just receivers of Internet information, as consumers generate and share contents with others. Social interaction and spontaneous promotion activities are carried out among consumers, but with the growth of traditional e-commerce slowing down, social commerce derived from social networks is gradually taking shape. Based on Hajli’s theoretical model, this study uses the social support theory and social commerce construct to study consumers’ social commerce behavior from a total of 1277 valid sample questionnaires that were distributed in a social platform environment in China. Through the empirical research evaluation using PLS-SEM, the statistical analysis results prove that social commerce constructs do promote social interaction of consumers. Such constructs have a positive effect on social support and social commerce intentions. In this regard, social support is embodied in information support and emotional support, and has a positive effect on social commerce intention. This study also conducts cross-cultural empirical comparisons. In comparison with Hajli’s research, this study has the same results in evaluation of Chinese samples. Among the users who exhibit social commerce intentions, social commerce construction is more important than social support.

scholarly journals THE ROLE OF SOCIAL COMMERCE CONSTRUCTS, SOCIAL SUPPORT, AND TRUST IN COMMUNITY ON SOCIAL COMMERCE ACTIVITIES

2018 ◽  
Vol 1 (2) ◽  
pp. 74-83
Author(s):  
Amir Hidayatulloh
Keyword(s):  
Social Support ◽  
Social Media ◽  
Emotional Support ◽  
Sampling Technique ◽  
Information Support ◽  
Social Commerce ◽  
The Social ◽  
Convenience Sampling ◽  
The Individual

This study  aims  to  analyze  social  commerce  constructs, social  support,  and  individual  trust in the  community   in   social   commerce   activities.   Social   support   includes   emotional   support  and informational  support.  The population  was  social  media  users, while  the  samples were  social media users who had made purchase at least two transactions through social media. The sampling technique was convenience sampling. Totally, 162 respondents were involved. Hypothesis testing was  done using  Warp PLS. This study  reveals that individual  trust in  the community  can be built directly  through  the social  commerce  constructs. These  constructs affects both  emotional  support and information support, in which they will ultimately affect the individual trust in the community. Furthermore,  social  commerce  intention  is influenced  by  individual  trust in  the community  and emotional  support.  However,  information  support does not  affect  the social commerce  intention.

scholarly journals An Analysis of Factors Affecting Intention to Purchase Products and Services in Social Commerce

2016 ◽  
Vol 10 (12) ◽  
pp. 98 ◽  
Author(s):  
Mehdi Dashti ◽  
Ali Sanayei ◽  
Hossein Rezai Dolatabadi ◽  
Mohammad Hossein Moshrefjavadi
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Relationship Quality ◽  
Perceived Usefulness ◽  
Social Commerce ◽  
Factors Affecting ◽  
Intention To Purchase ◽  
Individual Decisions ◽  
Collaborative Decision ◽  
Positive Effect

As a result of the popularity and growth of social networks, consumers often rely on recommendations and suggestions from online friends to make buying decisions. Through social commerce, people are driven from inefficient individual decisions toward collaborative decision-making with higher efficiency. In this paper, we study the factors that affect customer decisions on the purchase of recommended products and services in the context of social commerce. A total of 327 individuals on three popular social networks in Iran (i.e. Facebook, Cloob, and Telegram) were surveyed. Analysis of the results using the PLS-SEM approach revealed that:(1) Social commerce constructs has a positive effect on social support and relationship quality. (2) Perceived usefulness has a positive effect on relationship quality and intention to purchase. (3) social support has a positive effect on relationship quality and (4) relationship quality has a positive effect on intention to purchase.

scholarly journals Social Support Patterns of Middle-Aged and Older Adults Within a Physical Activity App: Secondary Mixed Method Analysis

JMIR Aging ◽  
10.2196/12496 ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. e12496 ◽  
Author(s):  
Zakkoyya H Lewis ◽  
Maria C Swartz ◽  
Eloisa Martinez ◽  
Elizabeth J Lyons
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Older Adults ◽  
Social Interaction ◽  
Emotional Support ◽  
Mixed Method ◽  
Middle Aged ◽  
Promising Tool ◽  
The Social ◽  
Method Analysis

Background Physical activity (PA) is critical for maintaining independence and delaying mobility disability in aging adults. However, 27 to 44% of older adults in the United States are meeting the recommended PA level. Activity trackers are proving to be a promising tool to promote PA adherence through activity tracking and enhanced social interaction features. Although social support has been known to be an influential behavior change technique to promote PA, how middle-aged and older adults use the social interaction feature of mobile apps to provide virtual support to promote PA engagement remains mostly underexplored. Objective This study aimed to describe the social support patterns of middle-aged and older adults using a mobile app as part of a behavioral PA intervention. Methods Data from 35 participants (mean age 61.66 [SD 6] years) in a 12-week, home-based activity intervention were used for this secondary mixed method analysis. Participants were provided with a Jawbone Up24 activity monitor and an Apple iPad Mini installed with the UP app to facilitate self-monitoring and social interaction. All participants were given an anonymous account and encouraged to interact with other participants using the app. Social support features included comments and likes. Thematic coding was used to identify the type of social support provided within the UP app and characterize the levels of engagement from users. Participants were categorized as superusers or contributors, and passive participants were categorized as lurkers based on the literature. Results Over the 12-week intervention, participants provided a total of 3153 likes and 1759 comments. Most participants (n=25) were contributors, with 4 categorized as superusers and 6 categorized as lurkers. Comments were coded as emotional support, informational support, instrumental support, self-talk, and other, with emotional support being the most prevalent type. Conclusions Our cohort of middle-aged and older adults was willing to use the social network feature in an activity app to communicate with anonymous peers. Most of our participants were contributors. In addition, the social support provided through the activity app followed social support constructs. In sum, PA apps are a promising tool for delivering virtual social support to enhance PA engagement and have the potential to make a widespread impact on PA promotion. Trial Registration ClinicalTrials.gov NCT01869348; https://clinicaltrials.gov/ct2/show/NCT01869348

scholarly journals Social Support Patterns of Middle-Aged and Older Adults Within a Physical Activity App: Secondary Mixed Method Analysis (Preprint)

2018 ◽  
Author(s):  
Zakkoyya H Lewis ◽  
Maria C Swartz ◽  
Eloisa Martinez ◽  
Elizabeth J Lyons
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Older Adults ◽  
Social Interaction ◽  
Emotional Support ◽  
Mixed Method ◽  
Middle Aged ◽  
Promising Tool ◽  
The Social ◽  
Method Analysis

BACKGROUND Physical activity (PA) is critical for maintaining independence and delaying mobility disability in aging adults. However, 27 to 44% of older adults in the United States are meeting the recommended PA level. Activity trackers are proving to be a promising tool to promote PA adherence through activity tracking and enhanced social interaction features. Although social support has been known to be an influential behavior change technique to promote PA, how middle-aged and older adults use the social interaction feature of mobile apps to provide virtual support to promote PA engagement remains mostly underexplored. OBJECTIVE This study aimed to describe the social support patterns of middle-aged and older adults using a mobile app as part of a behavioral PA intervention. METHODS Data from 35 participants (mean age 61.66 [SD 6] years) in a 12-week, home-based activity intervention were used for this secondary mixed method analysis. Participants were provided with a Jawbone Up24 activity monitor and an Apple iPad Mini installed with the UP app to facilitate self-monitoring and social interaction. All participants were given an anonymous account and encouraged to interact with other participants using the app. Social support features included comments and likes. Thematic coding was used to identify the type of social support provided within the UP app and characterize the levels of engagement from users. Participants were categorized as superusers or contributors, and passive participants were categorized as lurkers based on the literature. RESULTS Over the 12-week intervention, participants provided a total of 3153 likes and 1759 comments. Most participants (n=25) were contributors, with 4 categorized as superusers and 6 categorized as lurkers. Comments were coded as emotional support, informational support, instrumental support, self-talk, and other, with emotional support being the most prevalent type. CONCLUSIONS Our cohort of middle-aged and older adults was willing to use the social network feature in an activity app to communicate with anonymous peers. Most of our participants were contributors. In addition, the social support provided through the activity app followed social support constructs. In sum, PA apps are a promising tool for delivering virtual social support to enhance PA engagement and have the potential to make a widespread impact on PA promotion. CLINICALTRIAL ClinicalTrials.gov NCT01869348; https://clinicaltrials.gov/ct2/show/NCT01869348

scholarly journals Analysis of User Social Support Network in Online Tumor Community

2020 ◽  
Vol 5 (1) ◽  
pp. 184-194
Author(s):  
Hui Lin ◽  
Shijuan Li
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Network Analysis ◽  
Personal Information ◽  
Internet Technology ◽  
Support Network ◽  
Social Support Network ◽  
Information Behaviors ◽  
The Social ◽  
Professional Health

AbstractWith the development of Internet technology, online health forums have become indispensable for people who seek non-professional health support. This research focuses on the content posted by cancer patients and their relatives in online health forums and social networks to raise the following research questions: What is the overall view of the social support network in the online tumor community? What are the information behaviors of the online tumor community in different identities of users? How users interact in this community and build this network of social support? What are the topics users would like to share and talk about? What kinds of users could be the key users in this community? Method: Using the post and comment data of the Oncology Forum of Tianya Hospital in 2019, combined with social network analysis and word co-occurrence network analysis, the following conclusions are obtained: (1) There are some central points in the overall social support network, and there are central users consistent with other social networks. (2) Positive users are more likely to comment on others, and it is easier to get others’ comments, while negative users are more likely to share personal information and do not want to participate more in social interaction. (3) Users focus on posting emotional and emotional content in content sharing. Information-based social support information. The social support experience that this type of information brings to users can be positive and negative. (4) The most active group in the patients’ online health community, followed by the patients’ children. (5) The relationship between users and patients is diverse and there are two types of singularity. Users with diverse relationships are more likely to be commented on, and they are more willing to comment on users who also have diverse relationships.

scholarly journals The Social Environment’s Relationship With Frailty: Evidence From Existing Studies

2017 ◽  
Vol 38 (1) ◽  
pp. 3-26 ◽  
Author(s):  
Daan Duppen ◽  
Michaël C. J. Van der Elst ◽  
Sarah Dury ◽  
Deborah Lambotte ◽  
Liesbeth De Donder ◽  
...  
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Social Environment ◽  
Social Participation ◽  
Later Life ◽  
Informal Networks ◽  
Five Dimensions ◽  
The Social ◽  
The Family

Increasingly, policymakers assume that informal networks will provide care for frail older people. While the literature has mainly discussed the role of the family, broader social networks are also considered to be important. However, these social networks can diminish in later life. This systematic review investigates whether the social environment increases the risk of frailty or helps to prevent it. Findings from 15 original studies were classified using five different factors, which denoted five dimensions of the social environment: (a) social networks, (b) social support, (c) social participation, (d) subjective neighborhood experience, and (e) socioeconomic neighborhood characteristics. The discussion highlights that the social environment and frailty are indeed related, and how the neighborhood dimensions and social participation had more consistent results than social support and social networks. Conclusively, recommendations are formulated to contemplate all dimensions of the social environment for further research examining frailty and community care.

The Comparability of Event-Related and General Social Support

2011 ◽  
pp. 339-359 ◽  
Author(s):  
Valentina Hlebec ◽  
Maja Mrzel ◽  
Tina Kogovšek
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Life Events ◽  
Support Network ◽  
Response Format ◽  
Major Life Events ◽  
Major Life ◽  
The Social ◽  
Related Approach ◽  
Relation Approach

Some studies (e.g., Kogovšek & Hlebec, 2008, 2009) have shown that the name generator and the role relation approaches to measuring social networks are to some extent comparable, but less so the name generator and the event-related approaches (Hlebec, Mrzel, & Kogovšek, 2009). In this chapter, the composition of the social support network assessed by both the general social support approach and the event-related approach (support during 15 major life events) is analyzed and compared. In both cases, the role relation approach is used. In addition, in both approaches a more elaborate (16 possible categories ranging from partner, mother, father, friend to no one) and a more simple (6 possible categories ranging from family member, friend, neighbor to no one) response format is applied and compared. The aim of the chapter is to establish, in a controlled quasi-experiment setting, whether the different approaches (i.e. the general social support and the event-related approach) produce similar social networks regardless of the response format (long vs. short).

scholarly journals A Mediation and Moderation Model of Social Support, Relationship Quality and Social Commerce Intention

2020 ◽  
Vol 12 (23) ◽  
pp. 9889
Author(s):  
Md. Alamgir Hossain ◽  
Nusrat Jahan ◽  
Minho Kim
Keyword(s):  
Social Support ◽  
Relationship Quality ◽  
Structural Equation ◽  
The United States ◽  
Equation Model ◽  
Mediating Effect ◽  
Mediation Effect ◽  
Social Commerce ◽  
Moderation Effect ◽  
The Social

This study examines the antecedents of social commerce intention by conceptualizing a model that includes two exogenous variables; relationship quality and social support, and an endogenous variable; social commerce, along with a mediation effect of relationship quality and moderation effect of cultures. This research model is tested by survey data collected in the United States and Korea, analyzed by a structural equation model. The results reveal that relationship quality generates the social commerce intention through commitment, satisfaction and trust, and becomes a maiden study with its mediating effect on social commerce intention. Social commerce intention is highly representative of social sharing and social shopping on social media. The social support is measured through emotional and informational support, proving to be a stronger predictor of relationship quality and social commerce intention. In addition, social support articulates differences in respect to the cultural differences. The model offers valuable insights to researchers and practitioners that aims to improve social commerce intention.

Neighborhood Considerations for Social Determinants of Health and Risk

2017 ◽  
Author(s):  
Holley A. Wilkin
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Health Outcomes ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Determinants Of Health ◽  
Communication Infrastructure ◽  
The Social ◽  
Action Context ◽  
Communication Infrastructure Theory

When it comes to health and risk, “place” matters. People who live in lower-income neighborhoods are disproportionately affected by obesity and obesity-related diseases like heart disease, hypertension, and diabetes; asthma; cancers; mental health issues; etc., compared to those that live in higher-income communities. Contributing to these disparities are individual-level factors (e.g., education level, health literacy, healthcare access) and neighborhood-level factors such as the socioeconomic characteristics of the neighborhood; crime, violence, and social disorder; the built environment; and the presence or absence of health-enhancing and health-compromising resources. Social determinants of health—for example, social support, social networks, and social capital—may improve or further complicate health outcomes in low-income neighborhoods. Social support is a type of transaction between two or more people intended to help the recipient in some fashion. For instance, a person can help provide someone who is grieving or dealing with a newly diagnosed health issue by providing emotional support. Informational support may be provided to someone trying to diagnose, manage, and/or treat a health problem. Instrumental support may come in the help of making meals for someone who is ill, running errands for them, or taking them to a doctor’s appointment. Unfortunately, those who may have chronic diseases and require a lot of support or who otherwise do not feel able to provide support may not seek it due to the expectation of reciprocity. Neighborhood features can enable or constrain people from developing social networks that can help provide social support when needed. There are different types of social networks: some can enhance health outcomes, while others may have a more limiting or even a detrimental effect on health. Social capital results in the creation of resources that may or may not improve health outcomes. Communication infrastructure theory offers an opportunity to create theoretically grounded health interventions that consider the social and neighborhood characteristics that influence health outcomes. The theory states that every neighborhood has a communication infrastructure that consists of a neighborhood storytelling network—which includes elements similar to the social determinants of health—embedded in a communication action context that enables or constrains neighborhood storytelling. People who are more engaged in their neighborhood storytelling networks are in a better position to reduce health disparities—for example, to fight to keep clinics open or to clean up environmental waste. The communication action context features are similar to the neighborhood characteristics that influence health outcomes. Communication infrastructure theory may be useful in interventions to address neighborhood health and risk.

scholarly journals A CROSS-NATIONAL COMPARISON OF THE SOCIAL SUPPORT NETWORKS OF OLDER MEN AND WOMEN WHO LACK TRADITIONAL FAMILY TIES

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S564-S564
Author(s):  
Christine Mair ◽  
Kasey Knopp
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Social Networks ◽  
Older Men ◽  
Men And Women ◽  
Family Ties ◽  
Traditional Family ◽  
The Social ◽  
Older Men And Women ◽  
Cross National

Abstract Existing literature on “aging alone” focuses on potential lack of support to “kinless” older adults who do not have traditional family ties (e.g., child, spouse; Margolis & Verdery, 2018), as well as the ways in which childless or unpartnered older adults may construct non-kin networks of support (e.g., friendship; Djundeva et al., 2018; Mair, 2019). In addition, older men’s and women’s social networks vary, with women reporting more network growth than men and potentially lower family involvement (Schwartz & Litwin, 2018). Finally, patterns of support (e.g., family care, friend interactions) differ by country context. However, it is unknown if and how the social networks of older adults who lack traditional family ties may differ by gender, as well as what forms of cross-national variation exist in these patterns. Using data from the Survey of Health, Ageing and Retirement in Europe (SHARE, N=17 nations, N=53,247 adults aged 50+), we take advantage of a unique social support network module in this cross-national dataset to compare closeness, proximity, quality, and type of ties by gender among older childless and unpartnered men and women by country. Among those without traditional family ties, we find that older women may be advantaged in terms of social support compared to older men, but that this advantage varies by nation. We discuss the details and implications of these results regarding potential policy implications about the differential risks faced by older men and women who lack traditional family ties in various country contexts.

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