Choreographing salesperson face-to-face visits with a buyer organization: a social network perspective

2022 ◽  
Author(s):  
Sebastian Forkmann ◽  
Ryan Mullins ◽  
Stephan C. Henneberg ◽  
Thomas L. Baker
Keyword(s):  
Social Network ◽  
Face To Face

scholarly journals Perceived Intimacy Differences of Daily Online and Offline Interactions in People’s Social Network

Societies ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 13
Author(s):  
Emmelyn A. J. Croes ◽  
Marjolijn L. Antheunis
Keyword(s):  
Information Processing ◽  
Social Network ◽  
Social Information Processing ◽  
Media Use ◽  
Tie Strength ◽  
Information Processing Theory ◽  
Strong Ties ◽  
Social Information Processing Theory ◽  
Face To Face ◽  
Processing Theory

This study examined which media people use on a day-to-day basis to communicate and whether tie strength influenced this media use. Furthermore, we analyzed whether online and offline interactions differ in perceived intimacy and whether tie strength impacts perceived interaction intimacy: 347 real interactions of 9 participants (3 male, 6 female) were analyzed; 172 online (WhatsApp, Facebook Messenger, email, SMS interactions) and 175 offline (recorded phone and face-to-face conversations). The results revealed that the participants communicated most frequently face-to-face or via WhatsApp, especially with strong ties. Furthermore, participants rated their interactions with strong ties as more intimate compared to weak-tie interactions. Our findings have implications for Social Information Processing theory, as our findings show that people are equally able to communicate intimate messages online and offline.

scholarly journals The switching mechanisms of social network densification

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Teruyoshi Kobayashi ◽  
Mathieu Génois
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Context ◽  
Social Interactions ◽  
Regime Switching ◽  
Face To Face ◽  
The Social ◽  
Switching Property ◽  
Distinctive Type ◽  
Insight Into

AbstractDensification and sparsification of social networks are attributed to two fundamental mechanisms: a change in the population in the system, and/or a change in the chances that people in the system are connected. In theory, each of these mechanisms generates a distinctive type of densification scaling, but in reality both types are generally mixed. Here, we develop a Bayesian statistical method to identify the extent to which each of these mechanisms is at play at a given point in time, taking the mixed densification scaling as input. We apply the method to networks of face-to-face interactions of individuals and reveal that the main mechanism that causes densification and sparsification occasionally switches, the frequency of which depending on the social context. The proposed method uncovers an inherent regime-switching property of network dynamics, which will provide a new insight into the mechanics behind evolving social interactions.

scholarly journals Social Networks and Loneliness During the COVID-19 Pandemic

2021 ◽  
Vol 7 ◽  
pp. 237802312098525
Author(s):  
Balazs Kovacs ◽  
Nicholas Caplan ◽  
Samuel Grob ◽  
Marissa King
Keyword(s):  
Social Network ◽  
Social Isolation ◽  
Close Relationships ◽  
Network Size ◽  
Global Network ◽  
Network Data ◽  
Network Characteristics ◽  
Face To Face ◽  
Social Network Data ◽  
Social Network Size

We utilize longitudinal social network data collected pre–COVID-19 in June 2019 and compare them with data collected in the midst of COVID in June 2020. We find significant decreases in network density and global network size following a period of profound social isolation. While there is an overall increase in loneliness during this era, certain social network characteristics of individuals are associated with smaller increases in loneliness. Specifically, we find that people with fewer than five “very close” relationships report increases in loneliness. We further find that face-to-face interactions, as well as the duration and frequency of interactions with very close ties, are associated with smaller increases in loneliness during the pandemic. We also report on factors that do not moderate the effect of social isolation on perceived loneliness, such as gender, age, or overall social network size.

scholarly journals IMPACT OF OFFLINE AND ONLINE SOCIAL NETWORKS ON LONELINESS AND MENTAL HEALTH AMONG ITALIAN OLDER PEOPLE

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S529-S529
Author(s):  
Daniele Zaccaria ◽  
Georgia Casanova ◽  
Antonio Guaita
Keyword(s):  
Mental Health ◽  
Social Networks ◽  
Social Network ◽  
Older People ◽  
Online Social Networks ◽  
Social Network Sites ◽  
Well Being ◽  
Controlled Study ◽  
Face To Face ◽  
Causal Impact

Abstract In the last decades the study of older people and social networks has been at the core of gerontology research. The literature underlines the positive health effects of traditional and online social connections and also the social networks’s positive impact on cognitive performance, mental health and quality of life. Aging in a Networked Society is a randomized controlled study aimed at investigating causal impact of traditional face-to-face social networks and online social networks (e.g. Social Network Sites) on older people’ health, cognitive functions and well-being. A social experiment, based on a pre-existing longitudinal study (InveCe - Brain Aging in Abbiategrasso) has involved 180 older people born from 1935 to 1939 living in Abbiategrasso, a municipality near Milan. We analyse effects on health and well-being of smartphones and Facebook use (compared to engagement in a more traditional face-to-face activity), exploiting the research potential of past waves of InveCe study, which collected information concerning physical, cognitive and mental health using international validate scale, blood samples, genetic markers and information on social networks and socio-demographic characteristics of all participants. Results of statistical analysis show that poor social relations and high level of perceived loneliness (measured by Lubben Scale and UCLA Loneliness scale) affect negatively physical and mental outcomes. We also found that gender and marital status mediate the relationship between loneliness and mental wellbeing, while education has not significant effect. Moreover, trial results underline the causal impact of ICT use (smartphones, internet, social network sites) on self-perceived loneliness and cognitive and physical health.

scholarly journals Estimation of the Active Social Network of Street Children in Shiraz (A City of Iran)

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Nasrin Motazedian ◽  
Mehrab Sayadi ◽  
Somaye Oboodi ◽  
Hassan Joulaei
Keyword(s):  
Social Network ◽  
Direct Method ◽  
Street Children ◽  
Scale Up ◽  
Sampling Technique ◽  
Target Population ◽  
Network Size ◽  
Hidden Population ◽  
Face To Face ◽  
Social Network Size

: Street children are a hard-to-reach population. Since the direct method is not feasible and has some limitations, we utilized the network scale-up (NSU) as an indirect method. This study was conducted in Shiraz municipalities. Our target population was Iranian boys between 10 to 18 years of age during the years 2014 to 2016. Three trained psychologists conducted face to face interviews with 86 street children (boys) on the streets, through the convenience sampling technique. The social network size of street boys in Shiraz was estimated at 17 persons (ranging from zero to 92 people, mean = 17 ± 17, median = 13). Overall, the network size of the hidden population might be smaller than the general population, due to the stigmatized nature of their behavior and place of work.

Evaluating Learning Experience through Educational Social Network Support in Blended Learning

2016 ◽  
pp. 1-16
Author(s):  
Marva Mirabolghasemi ◽  
Noorminshah A. Iahad
Keyword(s):  
Social Network ◽  
Blended Learning ◽  
Social Presence ◽  
Teaching And Learning ◽  
Learning Experience ◽  
Research Literature ◽  
Course Management Systems ◽  
Face To Face ◽  
Network Support ◽  
Social Network Support

The Community of Inquiry (CoI) model has been used for exploring various aspects of blended learning courses using technology such as Course Management Systems (CMSs). However, there is a lack of research literature evaluating CoI in environments where students use an educational social network in addition to a CMS and face to face teaching and learning. This study investigates a learning experience in blended learning that combines the usage of a CMS, Edmodo, which is an educational Social Network Site (SNS) and face to face teaching and learning. The results have shown a significant relationship and prediction of overall learning experience in relation to teaching, cognitive and social presence in blended learning. Moreover, social presence is the most significant factor to predict the overall learning experience of students.

scholarly journals Strengths and weaknesses of the Net-Map tool for participatory social network analysis in resource management: Experience from case studies conducted on four continents

2018 ◽  
Vol 11 (2) ◽  
pp. 205979911878775 ◽  
Author(s):  
Barbara Schröter ◽  
Claudia Sattler ◽  
Frieder Graef ◽  
Cheng Chen ◽  
Estephania Delgadillo ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Face To Face ◽  
Directed Information ◽  
Management Experience ◽  
Participatory Network ◽  
Network Mapping ◽  
Depth Interviews

For researchers, conducting face-to-face interviews is always a challenge as it often turns into a one-way directed information retrieval. Therefore, interviewees not always are very motivated, enthusiastic and cooperative in responding to the questions. In the end, this has implications for the quality of the interview data. To improve the interview setting and the resulting data, in several projects the Net-Map tool was used to conduct participatory social network analysis. The tool is a combination of in-depth interviews and participatory network mapping. During the interviews, the interviewee draws the network of relevant actors, notes down their motivations and evaluates and displays the actors’ influence and benefits by building towers using any kind of stacks. In this research note, we present the strengths and weaknesses of the method against the experiences with applying the Net-Map tool on four different continents and give ideas for improvements and further research.

Herding Cats

2010 ◽  
pp. 284-300
Author(s):  
Donald N. Philip
Keyword(s):  
Online Learning ◽  
Social Network ◽  
Network Analysis ◽  
Learning Environments ◽  
Learning Process ◽  
Knowledge Building ◽  
Traditional Classroom ◽  
Process Data ◽  
Communications Networks ◽  
Face To Face

Teachers using online learning environments have found that traditional classroom control techniques do not work when applied online. Instead, other approaches need to be used. This chapter introduces the concept of knowledge-building as an approach that is effective in online learning, and the concept of protocological control as a means of controlling the communications networks that evolve during the learning process. Data from a study involving students in a gr. 5/6 hybrid (online and face-to-face) class are used to illustrate how the teacher controls the learning process when the students all work independently of each other. The use of social network analysis as a tool for visualizing the communications networks that form is demonstrated.

scholarly journals GRANDPARENT CAREGIVERS: THE RELATION BETWEEN SOCIAL NETWORKS AND RESILIENCE

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S678-S679
Author(s):  
Nancy Mendoza ◽  
Christine Fruhauf
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Social Network ◽  
Future Research ◽  
Grandparents Raising Grandchildren ◽  
Face To Face ◽  
Grandparent Caregivers ◽  
New Information ◽  
Multiple Challenges ◽  
Using Data

Abstract Grandparents raising grandchildren experience multiple challenges as they take on the unexpected role of caring for their grandchildren, which usually occurs under stressful and stigmatizing conditions. Many of the challenges grandparents experience are well documented in the research. Less attention is given to understanding how a grandparent caregiver’s social network changes when s/he becomes a caregiver and how her/his social network influences resilience. Thus, the purpose of this study was to use social network analysis (SNA) to examine the relation between social networks and resilience in grandparents raising their grandchildren. This was done by conducting face-to-face interviews with twenty grandparents raising grandchildren after they completed a survey measuring social support, social isolation, and resilience. The interview protocol included questions related to participants’ social network, social support, and services. Prior to the interviews, using data from the surveys participants were identified as representing one of four resilience quadrants: resilient, maladaptive, competent, and vulnerable. Qualitative analysis of grandparent’s social networks across groups indicated resilient grandparent caregivers’ networks were structured in a way that provided more opportunities for the inflow of new information and resources. Whereas the proportion of professionals in maladaptive grandparent caregivers’ networks tended to be less than for other networks. This could suggest that for grandparent caregivers, having professionals in one’s network can be beneficial. Findings from the current study provide opportunities for future research such as identifying ways to help grandparent caregivers structure their social networks to promote resilience.

scholarly journals A New Social Network Scale for Detecting Depressive Symptoms in Older Japanese Adults

2020 ◽  
Vol 17 (23) ◽  
pp. 8874
Author(s):  
Seongryu Bae ◽  
Kenji Harada ◽  
Ippei Chiba ◽  
Keitaro Makino ◽  
Osamu Katayama ◽  
...  
Keyword(s):  
Older Adults ◽  
Logistic Regression ◽  
Social Network ◽  
Depressive Symptoms ◽  
Social Networking ◽  
Social Engagement ◽  
Short Form ◽  
Face To Face ◽  
Japanese Adults ◽  
Network Scale

Social engagement and networking deter depression among older adults. During the COVID-19 pandemic, older adults are especially at risk of isolation from face-to-face and non-face-to-face interactions. We developed the National Center for Geriatrics and Gerontology Social Network Scale (NCGG-SNS) to assess frequency of, and satisfaction with, social interactions. The NCGG-SNS consists of four domains: face-to-face/non-face-to-face interactions with family/friends. Each domain score is obtained by multiplying frequency ratings by satisfaction ratings for each item; all scores were summed to obtain a total NCGG-SNS score (range: 0–64). Additionally, face-to-face and non-face-to-face subscores were calculated. Higher scores indicated satisfactory social networking. A cohort of 2445 older Japanese adults completed the NCGG-SNS and the Geriatrics Depression Scale-Short form. Receiver Operating Characteristic (ROC) analysis and logistic regression determined predictive validity for depressive symptoms. Depressive symptoms were reported by 284 participants (11.6%). The optimal NCGG-SNS cut-off value to identify depressive symptoms was 26.5 points. In logistic regression analysis adjusted for potential confounders, lower NCGG-SNS values were significantly associated with greater prevalence of depressive symptoms. Face-to-face and non-face-to-face subscores were associated with depressive symptoms. The NCGG-SNS is a valid and useful indicator of multidimensional social networking enabling identification of depressive symptoms in older adults.

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