Key variables to predict tie strength on social network sites

2015 ◽  
Vol 25 (2) ◽  
pp. 218-238 ◽  
Author(s):  
Pin Luarn ◽  
Yu-Ping Chiu
Keyword(s):  
Social Network ◽  
Predictive Model ◽  
Social Network Sites ◽  
Theory And Practice ◽  
Tie Strength ◽  
Online Questionnaire ◽  
Design Of Algorithms ◽  
Data Set ◽  
Subjective Data ◽  
Content Type

Purpose – The purpose of this paper is to predict tie strength using profile similarities and interaction data between users, and thus distinguish between strong and weak relationships on social network sites (SNSs). Design/methodology/approach – This study developed a program and an online questionnaire to collect the data set from Facebook, and then integrated that data set with a subjective data set consisting of participants’ opinions of the strength of their friendships on Facebook. The model developed here for predicting tie strength performed well when was applied on a data set of 6,477 SNSs’ ties, distinguishing between strong and weak ties with over 50 percent accuracy. Findings – The results developed an algorithm (predictive model) that quantifies and measures tie strength continuously to bridge the gap between theory and practice. The results found that the variables in the dimension of emotional intensity had stronger effects than other interaction variables. Originality/value – This study developed a predictive model that helps explain the meaning of interaction on SNSs, providing an efficient method to examine tie strength on SNSs. The tie strength estimates can also be used to improve the range and performance of various aspects of SNSs, including link predictions, product recommendations, newsfeeds, people searches, and visualization. Such understanding of the structure of SNSs might lead ultimately to the design of algorithms that can detect trusted or influential users of SNSs.

Exploring the advantages of using social network sites (SNSs) in dental medicine organisations

2017 ◽  
Vol 30 (4) ◽  
pp. 385-396 ◽  
Author(s):  
Mário Franco ◽  
Leonor Pais
Keyword(s):  
Social Network ◽  
Design Methodology ◽  
Social Network Sites ◽  
Theory And Practice ◽  
Internet Research ◽  
Quality Of Services ◽  
Content Type ◽  
Final Sample ◽  
Practical Implications

Purpose The purpose of this paper is to deepen and contribute to knowledge of the use of social network sites (SNSs) in organisations, and more precisely, identify the advantages. Design/methodology/approach To reach this objective, a cross-section study was adopted based on application of a questionnaire, the final sample consisting of 78 dental medicine organisations in Portugal. Findings The results obtained lead to the conclusion that a great number of the organisations studied are connected to SNSs, particularly Facebook. The advantages associated with marketing tools and breaking down barriers between the organisation and the world are those highlighted most in this study. Practical implications According to the empirical evidence obtained, organisations are found to use these sites for other purposes, such as communicating with clients/patients and receiving feedback on the service provided to increase satisfaction and improve the quality of services. Originality/value The study contributes to advancing theory in the field of internet research strategic. More precisely, this study is associated with the creation of a theoretical framework that shows the advantages of using SNSs in an innovative context: dental medicine organisations. A categorisation of these advantages and some implications for theory and practice are also some contributions of this study.

Consumers’ redemption behavior of recommended mobile coupons in social network sites

2019 ◽  
Vol 57 (9) ◽  
pp. 2477-2500 ◽  
Author(s):  
Qing Tang ◽  
Fen Liu ◽  
Shan Liu ◽  
Yunfeng Ma
Keyword(s):  
Social Network ◽  
Perceived Risk ◽  
Social Network Sites ◽  
Economic Benefits ◽  
Social Recommendation ◽  
Content Type ◽  
Coupon Redemption ◽  
Mobile Coupons ◽  
Key Drivers ◽  
Trust Propensity

Purpose The purpose of this paper is to explore the key factors that affect consumer redemption intention toward mobile coupons recommended in social network sites (SNS). Design/methodology/approach A research model that integrates recommendation trust, positive utilities, and negative utilities of coupon redemption is developed. With the important role of trust in social recommendation taken into consideration, the key drivers of recommendation trust were analyzed in the model. Data were collected from 210 users with mobile coupon recommendation experience in one of the largest SNS (i.e. WeChat) in China. The authors used partial least squares technique to analyze the model. Findings Recommendation trust and positive utilities (economic benefits and perceived enjoyment) positively affect the intention of mobile coupon redemption. Perceived risk, as a negative utility, negatively influences coupon redemption intention. In addition, swift trust (structure assurance, perceived similarity, trust propensity, and expertise of the recommender), knowledge-based trust (familiarity with the retailers), and emotion-based trust (social tie strength) are key drivers that promote recommendation trust. Originality/value While prior research investigated mobile coupon redemption behavior in which coupons were issued by merchants, limited research analyzed consumer responses toward mobile coupons in social recommendation. This study examines the effects of recommendation trust, positive utilities, and negative utilities on mobile coupon redemption in the context of social recommendation and recognizes the key drivers of recommendation trust.

Developing a predictive model of construction industry-university research collaboration

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Monty Sutrisna ◽  
Dewi Tjia ◽  
Peng Wu
Keyword(s):  
Data Collection ◽  
Predictive Model ◽  
Construction Industry ◽  
Research Collaboration ◽  
Ann Model ◽  
Data Set ◽  
Content Type ◽  
Construction Companies ◽  
Likelihood Model ◽  
Artificial Neural Network Ann

Purpose This paper aims to identify and examine the factors that influence construction industry-university (IU) collaboration and develop the likelihood model of a potential industry partner within the construction industry to collaborate with universities. Design/methodology/approach Mix method data collection including questionnaire survey and focus groups were used for data collection. The collected data were analysed using descriptive and inferential statistical methods to identify and examine factors. These findings were then used to develop the likelihood predictive model of IU collaboration. A well-known artificial neural network (ANN) model, was trained and cross-validated to develop the predictive model. Findings The study identified company size (number of employees and approximate annual turnover), the length of experience in the construction industry, previous IU collaboration, the importance of innovation and motivation of innovation for short term showed statistically significant influence on the likelihood of collaboration. The study also revealed there was an increase in interest amongst companies to engage the university in collaborative research. The ANN model successfully predicted the likelihood of a potential construction partner to collaborate with universities at the accuracy of 85.5%, which was considered as a reasonably good model. Originality/value The study investigated the nature of collaboration and the factors that can have an impact on the potential IU collaborations and based on that, introduced the implementation of machine learning approach to examine the likelihood of IU collaboration. While the developed model was derived from analysing data set from Western Australian construction industry, the methodology proposed here can be used as the basis of predictive developing models for construction industry elsewhere to help universities in assessing the likelihood for collaborating and partnering with the targeted construction companies.

Interactive radio, social network sites and development in Africa: a literature review study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marcos Komodromos
Keyword(s):  
Social Network ◽  
Literature Review ◽  
Mass Communication ◽  
Social Network Sites ◽  
Sub Saharan Africa ◽  
Agriculture Education ◽  
African Countries ◽  
Content Type ◽  
Study Results ◽  
The Impact

Purpose The technology determinism theory facilitated in assessing the impact of interactive radio and social network sites (SNSs) on development factors such as education, agriculture, health, and governance, by conducting an integrative and comprehensive literature review focusing on African countries. This paper aims to conduct this literature review to provide comprehensive empirical evidence on the impact of interactive radio and SNSs on development in Africa. Design/methodology/approach This study examined articles that were retrieved from online databases including EBSCOhost, Elsevier, Science Direct, SAGE Journals, Springer and Wiley Online Library. The keywords used included interactive radio, radio, development in Africa, SNS, agriculture, education, health, peace and governance. Search phrases were formulated using boolean operators “AND” and “OR.” Findings Study results revealed that interactive radio and SNSs improve knowledge among farmers and allow the dissemination of information on innovative agricultural techniques, which supports the adoption of sustainable practices. Interactive radio promotes political accountability because the strategies provide the voiceless and powerless communities with a platform to express themselves. This paper discovers that the incorporation of SNS with existing multimedia communication facilitates the dissemination of health-related information on illnesses such as Ebola, HIV, hypertension, diabetes and Polio, and interactive radio and SNS promote education among marginalized communities and under-served rural schools. Research limitations/implications The findings on the impact of interactive radio and SNSs do not represent all 54 countries in Africa. Although the studies included in this literature review were conducted in several countries such as South Africa, Nigeria, Somalia, Kenya, Malawi, Ghana, Tanzania, Uganda and Zambia, this limited the generalizability of the findings and recommendations. Also, the other potential limitation is that using the inclusion-exclusion criteria could have resulted in bias when selecting the studies to include in the review. Practical implications The paper might serve as a valuable source of information for students, academics and entrepreneurs where the impact of interactive radio and SNSs on agriculture, education, health and governance, which are core determinants of development in Africa, has been assessed for further case studies in this area. Social implications The use of interactive radio has helped in decreasing health issues caused by a deficiency in vitamin A among children in sub-Saharan Africa. Originality/value The development of sustainable and effective interactive radio programs is dependent on the collaboration of the core stakeholders such as governmental ministries, donor organizations and the mass communication sector. Numerous open sources on technology radio stations are available to employ social media managers to help in the application of knowledge.

Who is the boss? Identifying key roles in telecom fraud network via centrality-guided deep random walk

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yi-Chun Chang ◽  
Kuan-Ting Lai ◽  
Seng-Cho T. Chou ◽  
Wei-Chuan Chiang ◽  
Yuan-Chen Lin
Keyword(s):  
Social Network ◽  
Random Walk ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Random Walks ◽  
Interpersonal Relationships ◽  
Interaction Network ◽  
Data Set ◽  
Content Type ◽  
Structural Equivalence

PurposeTelecommunication (telecom) fraud is one of the most common crimes and causes the greatest financial losses. To effectively eradicate fraud groups, the key fraudsters must be identified and captured. One strategy is to analyze the fraud interaction network using social network analysis. However, the underlying structures of fraud networks are different from those of common social networks, which makes traditional indicators such as centrality not directly applicable. Recently, a new line of research called deep random walk has emerged. These methods utilize random walks to explore local information and then apply deep learning algorithms to learn the representative feature vectors. Although effective for many types of networks, random walk is used for discovering local structural equivalence and does not consider the global properties of nodes.Design/methodology/approachThe authors proposed a new method to combine the merits of deep random walk and social network analysis, which is called centrality-guided deep random walk. By using the centrality of nodes as edge weights, the authors’ biased random walks implicitly consider the global importance of nodes and can thus find key fraudster roles more accurately. To evaluate the authors’ algorithm, a real telecom fraud data set with around 562 fraudsters was built, which is the largest telecom fraud network to date.FindingsThe authors’ proposed method achieved better results than traditional centrality indices and various deep random walk algorithms and successfully identified key roles in a fraud network.Research limitations/implicationsThe study used co-offending and flight record to construct a criminal network, more interpersonal relationships of fraudsters, such as friendships and relatives, can be included in the future.Originality/valueThis paper proposed a novel algorithm, centrality-guided deep random walk, and applied it to a new telecom fraud data set. Experimental results show that the authors’ method can successfully identify the key roles in a fraud group and outperform other baseline methods. To the best of the authors’ knowledge, it is the largest analysis of telecom fraud network to date.

scholarly journals Green human resource management

2020 ◽  
Vol 41 (7) ◽  
pp. 1041-1060 ◽  
Author(s):  
Azadeh Shafaei ◽  
Mehran Nejati ◽  
Yusmani Mohd Yusoff
Keyword(s):  
Positive Outcome ◽  
Theory And Practice ◽  
Research Model ◽  
Online Questionnaire ◽  
Content Type ◽  
Individual Level ◽  
Study Approach ◽  
The Individual ◽  
Green Human Resource Management ◽  
Organisational Level

PurposeThe study aimed to provide insights on antecedent and outcome of green HRM at the organisational level and the outcome of green HRM at the individual level. It also sought to examine the mechanism through which green HRM would lead to employees’ positive outcome.Design/methodology/approachA quantitative study design using a two-study approach was employed to collect and analyse the data. For study 1, 206 hotels from Malaysia were included in analysis at the organisational level, while in study 2 at the individual level, 508 employees from different sectors provided insights through an online questionnaire. For both studies, partial least squares (PLS–SEM) was used to assess the research model.FindingsAll the proposed hypotheses were supported. Specifically, at the organisational level, organisational environmental culture is positively related to green HRM, and green HRM management positively associates with organisation's environmental performance. At the individual level, green HRM positively influences employees' job satisfaction, and meaningfulness through work is a strong mediator in this relationship.Originality/valueThis study is significant as it contributes to both theory and practice by providing fresh insights on green HRM and its antecedent and outcomes at two levels (organisational and individual) and across two economies (emerging and developed). It also sheds some light on the outcome of green HRM at the employee level which is an area that is still under-researched. By focusing on meaningfulness through work as an important factor, the study contributes to better understanding of green HRM and employees’ positive outcomes.

scholarly journals Understanding the emergence of entrepreneurial passion

2019 ◽  
Vol 25 (6) ◽  
pp. 1368-1388 ◽  
Author(s):  
Pekka Stenholm ◽  
Mette Søgaard Nielsen
Keyword(s):  
Social Network ◽  
Social Environment ◽  
Emotional Support ◽  
Financial Support ◽  
Design Methodology ◽  
Data Set ◽  
Content Type ◽  
Entrepreneurial Passion ◽  
Start Up ◽  
Emotional Aspects

Purpose Recent research acknowledges entrepreneurial passion’s outcomes, but far less is known about how entrepreneurial passion comes about. In this study, the authors are interested in the emergence of entrepreneurial passion, and how competences and social network are associated with entrepreneurial passion. The paper aims to discuss these issues. Design/methodology/approach The authors investigate whether entrepreneurial passion emerges out of socialisation, entrepreneurial experience or various combinations thereof. The authors tested the hypotheses on a data set of entrepreneurs who started their businesses with government financial support (n=1150). Findings The findings show that within a social environment, perceived emotional support is positively associated with entrepreneurial passion. Moreover, entrepreneurs’ task-related competence moderates this relationship positively. By investigating the emergence of entrepreneurial passion, the authors contribute to prior passion literature, which has mainly focused on its consequences. Originality/value The findings demonstrate both how entrepreneurial passion is associated with and how perceived emotional support can stem from unexpected sources, such as from a government-based start-up grant. For entrepreneurs, an increased awareness of passion’s emergence could better encourage them in their entrepreneurial endeavours. To people who are engaged in promoting entrepreneurship, our findings emphasise the symbolic and emotional aspects of instruments intended to support entrepreneurship.

The relationship between employment and social networks in the older population

2014 ◽  
Vol 41 (4) ◽  
pp. 321-335 ◽  
Author(s):  
Philip Haynes ◽  
Laura Banks ◽  
Michael Hill
Keyword(s):  
Social Network ◽  
Old Age ◽  
Employment Status ◽  
Country Of Origin ◽  
Great Influence ◽  
Network Activity ◽  
Data Set ◽  
Content Type ◽  
Community Organisation ◽  
The Relationship

Purpose – The purpose of this paper is to examine the relationship between employment and social network membership in a secondary data set of European citizens aged 50-69 years. Design/methodology/approach – A subsample of the International Social Survey Programme (ISSP) covering 13 European countries is analysed. Principal components analysis is used to reduce numerous social network characteristics to core elements than can be compared with country of origin, sex and employment status. A logistic regression is used to determine involvement in a community organisation. The independent variables are country of residence, age, sex and employment status. Findings – Those employed were more likely to participate in a community organisation and to have a greater number of friends. Employment status did not affect the amount of family contact. Being employed was found to increase the chances of an individual being involved in a community organisation, but for many respondents, their country of origin had a great influence on the probability of not being involved. Research limitations/implications – The ISSP provided no data on subjective health status and so it was not possible to control for the influence of poor health on employment and social network status. The limitations of sample weighting are discussed. Practical implications – There is evidence from this research that continued employment in late middle age and early old age increases advantageous social network contacts. Originality/value – This research challenges some previous research that suggested employment in old age might reduce social network activity.

How social influence and personality affect users’ social network fatigue and discontinuance behavior

2018 ◽  
Vol 70 (4) ◽  
pp. 344-366 ◽  
Author(s):  
Sajad Shokouhyar ◽  
Seyed Hossein Siadat ◽  
Mojde Khazeni Razavi
Keyword(s):  
Social Network ◽  
Social Influence ◽  
Least Squares ◽  
Design Methodology ◽  
Least Squares Method ◽  
Social Network Sites ◽  
Research Model ◽  
Content Type ◽  
Partial Least Squares Method ◽  
Practical Implications

Purpose The purpose of this paper is to focus on understanding how social influence and personality of individuals differentiate between users’ social network fatigue and discontinuance behavior. Furthermore, the most common discontinuance behavior among users was investigated. Design/methodology/approach The research model was tested with the data from 163 Instagram users based on online and offline surveys. The partial least squares method was used to test the proposed hypotheses of this study. Findings The results indicate that social influence affects users’ discontinuance behavior and social network fatigue. Social network fatigue is greater in users with higher reported social influence compared to those with a lower one. Moreover, in response to social network fatigue, users prefer to keep their activities under control instead of switching to alternative social network sites (SNSs) or a short break in social network activities. Practical implications By achieving a better understanding of users’ feeling and behaviors, social network providers may codify their strategies more efficiently. Originality/value The study is novel in exploring users’ SNS fatigue and their discontinuance behavior by integrating social influence and personality. The authors defined a new concept of effect of social influence on social network fatigue. Additionally, the authors examined which discontinuance behaviors in individuals were more prevalent.

Innovating the customer loyalty program with social media

2019 ◽  
Vol 32 (5) ◽  
pp. 807-823 ◽  
Author(s):  
Wu He ◽  
Xin Tian ◽  
Feng-Kwei Wang
Keyword(s):  
Social Media ◽  
Customer Loyalty ◽  
Theory And Practice ◽  
Loyalty Programs ◽  
Loyalty Program ◽  
Data Set ◽  
Content Type ◽  
Media Technologies ◽  
Customer Loyalty Programs

Purpose Few academic studies specifically investigate how businesses can use social media to innovate customer loyalty programs. The purpose of this paper is to present an in-depth case study of the Shop Your Way (SYW) program, which is regarded as one of the most successful customer loyalty programs with social media. Design/methodology/approach This paper uses case study research as the methodology to uncover innovative features associated with the SYW customer loyalty program. The authors collected the data from SYW’s social media forums and tweets. The data set was analyzed using social media analytics tools including the R package and Lexicon. Findings Based on the research results, the authors summarize innovative social media features identified from SYW. The authors also provide insights and recommendations for businesses that are seeking to innovate their customer loyalty programs using social media technologies. Originality/value The results of this case study set a good example for businesses which want to innovate and improve their customer loyalty programs using social media technologies. This is the first in-depth case study on the SYW program, one of the most successful customer loyalty programs with social media. The results shed light on how social media can innovate customer loyalty programs in both theory and practice.

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