scholarly journals Review of social networks of professionals in healthcare settings—where are we and what else is needed?

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Huajie Hu ◽  
Yu Yang ◽  
Chi Zhang ◽  
Cong Huang ◽  
Xiaodong Guan ◽  
...  
Keyword(s):  
Social Networks ◽  
Data Collection ◽  
Health Professional ◽  
Study Design ◽  
Empirical Studies ◽  
Professional Relationships ◽  
Umbrella Review ◽  
Professional Networks ◽  
Healthcare Settings ◽  
The Impact

Abstract Background Social Network Analysis (SNA) demonstrates great potential in exploring health professional relationships and improving care delivery, but there is no comprehensive overview of its utilization in healthcare settings. This review aims to provide an overview of the current state of knowledge regarding the use of SNA in understanding health professional relationships in different countries. Methods We conducted an umbrella review by searching eight academic databases and grey literature up to April 30, 2021, enhanced by citation searches. We completed study selection, data extraction and quality assessment using predetermined criteria. The information abstracted from the reviews was synthesized quantitatively, qualitatively and narratively. Results Thirteen reviews were included in this review, yielding 330 empirical studies. The degree of overlaps of empirical studies across included reviews was low (4.3 %), indicating a high diversity of included reviews and the necessity of this umbrella review. Evidence from low- and middle-income countries (LMIC), particularly Asian countries, was limited. The earliest review was published in 2010 and the latest in 2019. Six reviews focused on the construction or description of professional networks and seven reviews reported factors or influences of professional networks. We synthesized existing literature on social networks of health care professionals in the light of (i) theoretical frameworks, (ii) study design and data collection, (iii) network nodes, measures and analysis, and (iv) factors of professional networks and related outcomes. From the perspective of methodology, evidence lies mainly in cross-sectional study design and electronic data, especially administrative data showing “patient-sharing” relationships, which has become the dominant data collection method. The results about the impact of health professional networks on health-related consequences were often contradicting and not truly comparable. Conclusions Methodological limitations, inconsistent findings, and lack of evidence from LMIC imply an urgent need for further investigations. The potential for broader utilization of SNA among providers remains largely untapped and the findings of this review may contain important value for building optimal healthcare delivery networks. PROSPERO registration number The protocol was published and registered with PROSPERO, the International Prospective Register of Systematic Reviews (CRD42020205996).

scholarly journals Predicting urban innovation from the US Workforce Mobility Network

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Moreno Bonaventura ◽  
Luca Maria Aiello ◽  
Daniele Quercia ◽  
Vito Latora
Keyword(s):  
Real Time ◽  
Scaling Laws ◽  
Census Data ◽  
Empirical Studies ◽  
Past Research ◽  
Innovation Performance ◽  
Professional Networks ◽  
The Us ◽  
The Impact

AbstractWhile great emphasis has been placed on the role of social interactions as a driver of innovation growth, very few empirical studies have explicitly investigated the impact of social network structures on the innovation performance of cities. Past research has mostly explored scaling laws of socio-economic outputs of cities as determined by, for example, the single predictor of population. Here, by drawing on a publicly available dataset of the startup ecosystem, we build the first Workforce Mobility Network among metropolitan areas in the US. We found that node centrality computed on this network accounts for most of the variability observed in cities’ innovation performance and significantly outperforms other predictors such as population size or density, suggesting that policies and initiatives aiming at sustaining innovation processes might benefit from fostering professional networks alongside other economic or systemic incentives. As opposed to previous approaches powered by census data, our model can be updated in real-time upon open databases, opening up new opportunities both for researchers in a variety of disciplines to study urban economies in new ways, and for practitioners to design tools for monitoring such economies in real-time.

scholarly journals The Influence of a Profile in a Professional Social Network on the Development of a Specialist's Career

2021 ◽  
Vol 31 (1) ◽  
pp. 60-68
Author(s):  
Galina Nikolaeva ◽  
Valeriya Perekrestova ◽  
Aleksey Perekrestov ◽  
Polina Fursova
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Career Development ◽  
Career Advancement ◽  
Statistical Data ◽  
Negative Answer ◽  
Professional Networks ◽  
Personal Profile ◽  
The Impact ◽  
The Relationship

A successful career requires improving professional skills and developing business relationships. A personal profile in professional social networks and its proficient management can have a significant impact on career development. The article is devoted to investigating the impact of a specialists profile in professional social networks on the career development. The study analyses the statistical data on the use of social networks for recruiting. The relationship between a profile in professional social networks and the development of a specialist's career was investigated by conducting a sociological survey of networks users from various fields of activities. Most of the surveyed respondents (61 %) answered positively to the question about the benefits of professional social networks for career advancement, another part of the respondents (19 %) is not sure, but tends to answer positively. Only 11 % of the respondents are inclined to give a negative answer to this question and 1 % answered negatively, pointing out the uselessness of professional networks in their careers. Thus, the study confirmed the need to apply the profile for the development of a specialist's career. The advantages of a profile in professional networks are highlighted, allowing the development of effective professional communications: users of social professional networks, actively participating in forum discussions, publishing papers on the site, can attract attention of potential employers and develop their reputation. The authors propose to use a profile in a professional social network more widely in order to develop a specialist's career.

scholarly journals An exploratory study of entrepreneurial social networks in the digital age

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fang Zhao ◽  
Llandis Barratt-Pugh ◽  
Peter Standen ◽  
Janice Redmond ◽  
Yuliani Suseno
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Social Network ◽  
Empirical Studies ◽  
Digital Age ◽  
Content Type ◽  
Online Networks ◽  
Research Stream ◽  
New Research ◽  
The Impact

PurposeDrawing on social network and social capital literature, this study aims to explore how digital entrepreneurs utilize social networks to build their entrepreneurial capability, creating and developing business ventures in a digitally networked society.Design/methodology/approachThe study takes a qualitative approach, interviewing 35 digital entrepreneurs with businesses operating across multiple industry sectors in Western Australia.FindingsThe findings suggest that structural social capital provides a key resource with groups of relational contacts who facilitate in building entrepreneur capability, the venture and customer markets. Relational social capital provides a foundation of trust between entrepreneurs and social network members that is strategically important for digital entrepreneurship (DE). Cognitive social capital provides mechanisms to form relationships based on shared values across social networks.Research limitations/implicationsThe study produces early evidence that in a multiplexed networking world, social capital accrual and use online is different from that of off-line. More empirical studies are needed to understand the complexity of the changing nature of online and off-line social networks, the consequential social capital and their interdependence in DE.Practical implicationsThis is an exploratory qualitative study using a limited sample of 35 Australian digital entrepreneurs to explore the impact of social network interaction on digital entrepreneurs and their ventures, with the purpose of stimulating a social network approach when studying DE. This study confirms the critical importance of entrepreneurial social networks in the digital age and provides empirical evidence that online networks foster business development, while off-line networks feed self-development.Originality/valueThe study contributes to current research on DE as a dedicated new research stream of entrepreneurship. Specifically, the study contributes to a greater understanding of how digital entrepreneurs leverage social networks in today's digitally connected society.

scholarly journals The Effects of Social Media Use on Adult Well-Being and Ill-Being: What we Know and What We Need to Know

2021 ◽  
Author(s):  
Patti M. Valkenburg
Keyword(s):  
Social Media ◽  
Media Use ◽  
Empirical Studies ◽  
Well Being ◽  
Effect Sizes ◽  
Umbrella Review ◽  
Social Media Use ◽  
The Past ◽  
Meta Analyses ◽  
The Impact

Research into the impact of social media use (SMU) on well-being (e.g., happiness) and ill-being (e.g., depression) has exploded in the past years. From 2019 to August 2021, 26 reviews have been published: nine meta-analyses, nine systematic reviews, and eight narrative reviews that together included hundreds of empirical studies. The aim of this umbrella review was to synthesize the results of these reviews. Even though the meta-analyses were largely based on the same evidence, they yielded inconsistent effect sizes, especially for time spent on SM, active SMU, and passive SMU. This umbrella review explains why these effects sizes disagree, summarizes the gaps in the literature, and ends with some important recommendations for future reviews and empirical research.

Gamification in Market Research

2016 ◽  
pp. 94-107
Author(s):  
Kartik Pashupati ◽  
Pushkala Raman
Keyword(s):  
Data Collection ◽  
Data Quality ◽  
Market Research ◽  
Empirical Studies ◽  
Original Study ◽  
Digital Data ◽  
Online Surveys ◽  
Focus On Results ◽  
The Impact ◽  
Collection Methods

This chapter presents an overview of gamification in the domain of market research, with a specific focus on digital data collection methods, such as online surveys. The problems faced by the market research industry are outlined, followed by a discussion of why gamification has been offered as a possible way to overcome some of these challenges. The literature on gamification is reviewed, with a focus on results from empirical studies investigating the impact of gamification on outcome variables such as data quality and respondent engagement. Finally, the authors present results from an original study conducted in 2013, comparing differences between a conventional (text-dominant) survey and a gamified version of the same survey.

Dampak Kebijakan Moneter Pada Output Di Negara-Negara ASEAN Tahun 1980-2014

2017 ◽  
Vol 4 (1) ◽  
pp. 58-70
Author(s):  
Nur Widiastuti
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Fixed Effects ◽  
Empirical Studies ◽  
Negative Relationship ◽  
Least Square ◽  
Fixed Effects Model ◽  
State Data ◽  
Ordinary Least Square ◽  
The Impact

The Impact of monetary Policy on Ouput is an ambiguous. The results of previous empirical studies indicate that the impact can be a positive or negative relationship. The purpose of this study is to investigate the impact of monetary policy on Output more detail. The variables to estimatate monetery poicy are used state and board interest rate andrate. This research is conducted by Ordinary Least Square or Instrumental Variabel, method for 5 countries ASEAN. The state data are estimated for the period of 1980 – 2014. Based on the results, it can be concluded that the impact of monetary policy on Output shown are varied.Keyword: Monetary Policy, Output, Panel Data, Fixed Effects Model

INDONESIA LANGUAGE INTERFERENCE FORM IN BASIC PPL LEARNING THAILAND UNHASY COLLEGE SYUDENTS

2020 ◽  
Vol 8 (2) ◽  
pp. 38
Author(s):  
Siti Mariana Ulfa
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Data Collection ◽  
Teaching Practice ◽  
Data Presentation ◽  
Analysis Techniques ◽  
Thai Students ◽  
The Impact ◽  
Collection Methods ◽  
Recording Techniques

AbstractHumans on earth need social interaction with others. Humans can use more than one language in communication. Thus, the impact that arises when the use of one or more languages is the contact between languages. One obvious form of contact between languages is interference. Interference can occur at all levels of life. As in this study, namely Indonesian Language Interference in Learning PPL Basic Thailand Unhasy Students. This study contains the form of interference that occurs in Thai students who are conducting teaching practices in the classroom. This type of research is descriptive qualitative research that seeks to describe any interference that occurs in the speech of Thai students when teaching practice. Data collection methods in this study are (1) observation techniques, (2) audio-visual recording techniques using CCTV and (3) recording techniques, by recording all data that has been obtained. Whereas the data wetness uses, (1) data triangulation, (2) improvement in perseverance and (3) peer review through discussion. Data analysis techniques in this study are (1) data collection, (2) data reduction, (3) data presentation and (4) conclusions. It can be seen that the interference that occurs includes (1) interference in phonological systems, (2) interference in morphological systems and (3) interference in syntactic systems. 

Influence of social networks on business processes’ development

2020 ◽  
Vol 19 (12) ◽  
pp. 2225-2252
Author(s):  
E.V. Popov ◽  
V.L. Simonova ◽  
O.V. Komarova ◽  
S.S. Kaigorodova
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Business Models ◽  
Business Processes ◽  
Digital Economy ◽  
Theoretical Understanding ◽  
Sales Channels ◽  
A Value ◽  
The Impact

Subject. The emergence of new ways of interaction between sellers and buyers, the formation of new sales channels and product promotion based on the use of digital economy tools is at the heart of improving the business processes. Social networks became a tool for development; their rapid growth necessitates theoretical understanding and identification of potential application in enterprise's business process digitalization. Objectives. We explore the role of social media in the digitalization of business processes, systematize the impact of social networks on business processes of enterprises in the digital economy. Methods. The theoretical and methodological analysis of social networks as a tool for digitalization of company's business processes rests on the content analysis of domestic and foreign scientific studies, comparison, generalization and systematization. Results. We highlight the key effects of the impact of social networks on the business processes of the company; show that the digitalization of business processes should be considered in the context of a value-based approach, aimed at creating a value through the algorithmization of company operations. We determine that social networks are one of the most important tools for digitalization of company's business processes, as they have a high organizational and management potential. We also systematize the effects of social media on company's business processes. Conclusions. We present theoretical provisions of the impact of social networks on business processes of enterprises, which will enable to model and organize ideas about the development of digital ecosystems and the formation of business models.

Exploring power in response inhibition tasks using the bootstrap: The impact of number of participants, number of trials, effect magnitude, and study design

2019 ◽  
Author(s):  
Curtis David Von Gunten ◽  
Bruce D Bartholow
Keyword(s):  
Study Design ◽  
Effect Size ◽  
Statistical Power ◽  
Bootstrap Sampling ◽  
Reliable Measure ◽  
Internal Reliability ◽  
The Impact ◽  
Power Analyses ◽  
Effect Magnitude

A primary psychometric concern with laboratory-based inhibition tasks has been their reliability. However, a reliable measure may not be necessary or sufficient for reliably detecting effects (statistical power). The current study used a bootstrap sampling approach to systematically examine how the number of participants, the number of trials, the magnitude of an effect, and study design (between- vs. within-subject) jointly contribute to power in five commonly used inhibition tasks. The results demonstrate the shortcomings of relying solely on measurement reliability when determining the number of trials to use in an inhibition task: high internal reliability can be accompanied with low power and low reliability can be accompanied with high power. For instance, adding additional trials once sufficient reliability has been reached can result in large gains in power. The dissociation between reliability and power was particularly apparent in between-subject designs where the number of participants contributed greatly to power but little to reliability, and where the number of trials contributed greatly to reliability but only modestly (depending on the task) to power. For between-subject designs, the probability of detecting small-to-medium-sized effects with 150 participants (total) was generally less than 55%. However, effect size was positively associated with number of trials. Thus, researchers have some control over effect size and this needs to be considered when conducting power analyses using analytic methods that take such effect sizes as an argument. Results are discussed in the context of recent claims regarding the role of inhibition tasks in experimental and individual difference designs.

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