scholarly journals Social Network Supported Process Recommender System

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Yanming Ye ◽  
Jianwei Yin ◽  
Yueshen Xu
Keyword(s):  
Social Network ◽  
Structure Analysis ◽  
Business Process ◽  
Recommender System ◽  
Process Modeling ◽  
Network System ◽  
The Social ◽  
Social Features ◽  
Matching Degree ◽  
Process Structure

Process recommendation technologies have gained more and more attention in the field of intelligent business process modeling to assist the process modeling. However, most of the existing technologies only use the process structure analysis and do not take the social features of processes into account, while the process modeling is complex and comprehensive in most situations. This paper studies the feasibility of social network research technologies on process recommendation and builds a social network system of processes based on the features similarities. Then, three process matching degree measurements are presented and the system implementation is discussed subsequently. Finally, experimental evaluations and future works are introduced.

scholarly journals An Investigation of the Social Network System Competencies of High School Students in Japan

2018 ◽  
Vol 13 (05) ◽  
pp. 4 ◽  
Author(s):  
Masami Yoshida
Keyword(s):  
High School ◽  
High School Students ◽  
Social Network ◽  
Performance Criteria ◽  
Network System ◽  
School Students ◽  
Mean Values ◽  
The Social ◽  
Significant Difference ◽  
The Difference

We investigated the Social Network System (SNS) competencies of high school students in Japan. Student groups (from cities or regional areas) and the opinions of their teachers were compared. Twenty-five UNESCO criteria in three competency categories were selected. By two-way analysis of variance and paired-comparisons, we detected a significant difference in the opinions of students and teachers. Although the magnitude of the difference was small, by Dunnett’s multiple comparisons, the city and regional groups also differed from each other. Performance criteria items of risk awareness were valued the highest and most important in all groups; whereas technical skills and socio-cultural skills were reported as less proficient and less important by all groups. Classification of SNS-type was used, and the data of SNS sites with which the students were familiar and the mean values of related performance criteria items were applied to view the situation of students. By this approach, we confirmed that students are savvy in navigating socializing SNSs. Based on our findings, we propose important learning and societal-public activities relevant to SNSs.

scholarly journals The quest for organizational flexibility

2016 ◽  
Vol 22 (4) ◽  
pp. 763-790 ◽  
Author(s):  
Monica Anastassiu ◽  
Flavia Maria Santoro ◽  
Jan Recker ◽  
Michael Rosemann
Keyword(s):  
Business Process ◽  
Process Modeling ◽  
Design Methodology ◽  
Business Processes ◽  
Contextual Information ◽  
Decision Makers ◽  
Informational Support ◽  
Content Type ◽  
The Social

Purpose – The purpose of this paper is to propose a method for identifying business process-relevant contextual information that is likely to impact on the process goal. The ORGANON method describes a semi-structured procedural guide alongside with a set of criteria and a matrix for analyzing ontological transactions, which can be used to identify which context information can be considered relevant to a business process. Design/methodology/approach – The authors report on an evaluation of the ORGANON method through a case study conducted in an organization that works in the social security domain. Findings – The results provide evidences of the feasibility of the method application in this scenario. Originality/value – Our research contributes to the literature on business processes flexibility, specifically through a proposal for context identification that can be extended to current techniques for business process modeling and in turn forms the basis for existing approaches for making business processes more flexible. The work has implications for the strategic management of organizations, by suggesting a method that provides informational support to decision makers about when, where and why business processes need to be adapted.

The role of individual-social-technology fit in online social network value development: an empirical study

Info ◽  
2015 ◽  
Vol 17 (5) ◽  
pp. 66-81 ◽  
Author(s):  
ChienHsing Wu ◽  
Shu-Chen Kao ◽  
Hsin-Yi Liao
Keyword(s):  
Social Network ◽  
Online Social Network ◽  
Social Software ◽  
Social Technology ◽  
Content Type ◽  
The Social ◽  
Social Features ◽  
Individual Features ◽  
The Individual

Purpose – The purpose of this study is to reveal the role of individual–social–technology fit in online social network (OSN) value development. The social software features (e.g. communication and interaction), social features (e.g. privacy and trust) and individual features (e.g. sense of belonging and self-disclosure) are considered fitting forms to describe the OSN value. Implications and suggestions are addressed. Design/methodology/approach – The literature review on social software, the social and individual characteristics and the research gap with respect to OSN value is presented. The research arguments are then hypothesized, and research model used to describe the proposed role is examined empirically. The research targeted mobile phone users as the subjects, and the extent of the activities of these users on OSN for both work and studies. A salient investigation explores the moderation effect of gender. The research results are obtained, and the findings are revealed on the basis of 468 social software users. Findings – The significant effect of individual–social–technology fit on OSN value development is presented through the satisfaction of both participation and sharing information, and knowledge about this fit is verified. The interplay of social software, social and individual features contributes significantly to individual–social–technology fit development, implying that OSN value development is not a single issue. OSN value development should be considered concurrently with technological, personal and social issues. Research limitations/implications – The empirical study confirms that fitness analysis produces a systematic outcome, in which all elements (e.g. social, technology and individual) are required to cooperate with one another to maximize the OSN value. An individual adopts online channels to communicate with others; thus, the benefits may be a multidimensional issue instead of only a single information service issue. They also consider building an equal social relationship to be important, as it enables diverse propositions, maintains acceptable privacy and behaves on faith to enhance the fit of technology features and individual features to value development. The subjects also likely accepted the fact that emotion generation is important for the advantage of fit of technology features and social features, thereby likely benefitting OSN value development. Originality/value – The OSN does not only add new values to the society but also brings new effects on social development, especially in terms of social cognition from virtual community formation, development and creation. Although existing studies in the literature present the important aspects and antecedents linked significantly to OSN value development, these studies also insufficiently discuss the effect of fit of these facets on OSN value development. This exploratory study mainly aims to propose and examine the individual–social–technology fit model through an empirical investigation. The main argument of the study is that when a positive and healthy virtual society is developed through social software, the individual and social characteristics, as well as the social software features, should be defined with a suitable fit to promote the social networking value.

A methodology for the semantic and structural restructuring of BPMN models

2017 ◽  
Vol 23 (1) ◽  
pp. 16-46 ◽  
Author(s):  
Wiem Khlif ◽  
Hanêne Ben-Abdallah ◽  
Nourchène Elleuch Ben Ayed
Keyword(s):  
Social Network ◽  
Business Process ◽  
Structural Information ◽  
Content Type ◽  
Business Context ◽  
Network Discovery ◽  
The Social ◽  
Business Process Modeling Notation ◽  
Bp Model ◽  
Structural Aspects

Purpose Restructuring a business process (BP) model may enhance the BP performance and improve its understandability. So-far proposed restructuring methods use either refactoring which focuses on structural aspects, social network discovery which uses semantic information to guide the affiliation process during its analysis, or social network rediscovery which uses structural information to identify clusters of actors according to their relationships. The purpose of this paper is to propose a hybrid method that exploits both the semantic and structural aspects of a BP model. Design/methodology/approach The proposed method first generates a social network from the BP model. Second, it applies hierarchical clustering to determine the performers’ partitions; this step uses the social context which specifies features related to performers, and two new distances that account for semantic and structural information. Finally, it applies a set of behavioral and organizational restructuring rules adapted from the graph optimization domain; each rule uses the identified performers’ partitions and the business context to reduce particular quality metrics. Findings The efficiency of the proposed method is illustrated through well-established complexity metrics. The illustration is made through the development of a tool that fully supports the proposed method and proposes a strategy for the application of the restructuring rules. Originality/value The proposed method has the merit of combining the semantic and structural aspects of a Business Process Modeling Notation model to identify restructuring operations whose ordered application reduces the complexity of the initial model.

A social recommender system by combining social network and sentiment similarity: A case study of healthcare

2016 ◽  
Vol 43 (5) ◽  
pp. 635-648 ◽  
Author(s):  
Donghui Yang ◽  
Chao Huang ◽  
Mingyang Wang
Keyword(s):  
Social Network ◽  
Social Context ◽  
Recommender Systems ◽  
Network Structure ◽  
Recommender System ◽  
User Preferences ◽  
Social Recommender System ◽  
Social Recommender Systems ◽  
The Social ◽  
New Framework

Social recommender systems aim to support user preferences and help users make better decisions in social media. The social network and the social context are two vital elements in social recommender systems. In this contribution, we propose a new framework for a social recommender system based on both network structure analysis and social context mining. Exponential random graph models (ERGMs) are able to capture and simulate the complex structure of a micro-blog network. We derive the prediction formula from ERGMs for recommending micro-blog users. Then, a primary recommendation list is created by analysing the micro-blog network structure. In the next step, we calculate the sentiment similarities of micro-blog users based on a sentiment feature set which is extracted from users’ tweets. Sentiment similarities are used to filter the primary recommendation list and find users who have similar attitudes on the same topic. The goal of those two steps is to make the social recommender system much more precise and to satisfy users’ psychological preferences. At the end, we use this new framework deal with big real-world data. The recommendation results of diabetes accounts of Weibo show that our method outperforms other social recommender systems.

scholarly journals PEMANFAATAN JARINGAN SOSIAL DALAM PENGEMBANGAN USAHA OLEH PELAKU UMKM (Studi Kasus: 8 Pelaku UMKM pada Sentra Makanan Rendang di Kelurahan Sungai Durian, Kecamatan Lamposi Tigo Nagari, Kota Payakumbuh)

2018 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Zeni Eka Putri
Keyword(s):  
Social Network ◽  
Social Networking ◽  
Qualitative Method ◽  
Network System ◽  
Business Network ◽  
The Social ◽  
West Sumatra ◽  
Food Center ◽  
The City

Abstrak: Makanan rendang khas Kota Payakumbuh, Provinsi Sumatera Barat, merupakan salah satu kuliner yang diharapkan menjadi salah satu dari tiga kuliner yang diunggulkan di Indonesia seperti yang dinyatakan Deputi Bidang Pemasaran dan Jaringan Usaha Kementerian Koperasi dan UKM Emilia Suhaimi. Modal sosial seperti jaringan merupakan salah satu hal yang perlu dikembangkan oleh pelaku UMKM. Sudah ada kampung rendang di Kel. Sungai Durian, Kec. Lamposi Tigo Nagari, Kota Payakumbuh bagi pelaku UMKM rendang. Tujuan penelitian adalah mendeskripsikan jaringan sosial yang dimiliki dan pemanfaatannya oleh pelaku UMKM. Metode penelitian yang digunakan adalah metode penelitian kualitatif, merupakan studi kasus terhadap 8 pelaku UMKM pada sentra makanan rendang. Hasil dari penelitian adalah;1)Pelaku usaha sudah memiliki jaringan sosial mikro yaitu  dalam hal produksi dan pemasaran; 2) Pelaku usaha sudah memiliki jaringan meso, baik dengan Dinas Koperasi dan UMKM, dengan pihak bank, IWAPI, maupun dengan pihak lainnya seperti perguruan tinggi, LIPI, maupun PERTAMINA; 3) Pemanfataan jaringan sodial belum dilakukan secara maksimal karena berbagai keterbatasan; 4) Ada hambatan yang dimiliki oleh pelaku baik secara ekternal maupun internal.Kata kunci: UMKM, rendang, jaringan social Abstract: Rendang is a wellknown dish originated from West Sumatra. Rendang from Payakumbuh, one of the city that produce rendang in West Sumatra, is  expected to be the top three in Indonesian culinary, as declared by Deputy of Marketing and Business Network Ministry of Coorporatives and SME, Emilia Suhaimi. Social capital like social networking is the primary capital that need to be developed in SME. In line with this purpose, Kampung Rendang has been developed in one of the district in Payakumbuh, located in Sungai Durian, Lamposi Tigo Nagari, Payakumbuh for SME. The aims of this study are to desribe the social network in this SME and the utilization of the network. This study use qualitative method, through case study from 8 SME participants at rendang food center. This study found that : 1) SME  already built network system in terms of producting and marketing ; 2) SME has built meso networking with Dinas Koperasi and SME, bank, IWAPI, universities, LIPI, and PERTAMINA; 3) These networking are not maximally utilized due to limitations ; 4) SME encounter both internal and external obstacles.Keywords: SME, rendang, social network.

scholarly journals Correlation analysis of community detection in social network of big data methodical using set theorem

2018 ◽  
Vol 7 (2.21) ◽  
pp. 398
Author(s):  
K M. Monica ◽  
R Parvathi
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Community Detection ◽  
Detection Method ◽  
Literature Survey ◽  
Network System ◽  
Research Fields ◽  
The Social ◽  
Basic Concepts ◽  
Ultimate Objective

A trending issue in the network system that aids in learning and understanding the overall network structure is the community detection in the social network. Actually, they are the dividing wall which divides the node of the network into several subgroups. While dividing, the nodes within the subgroups will get connected densely but, their connections will be sparser between the subgroups. The ultimate objective of the community detection method is to divide the network into dense regions of the graph. But, in general, those regions will correlate with close related entities which can be then said that it is belonging to a community. It is defined based on the principle that the pair of nodes will be connected only if they belong to the same community and if they don’t share the communities, they are less likely to be connected. The vital problems across various research fields like the detection of minute and scattered communities have been necessitated with the ever growing variety of the social networks. The problem of community detection over the time has been recognized with the literature survey and the proposal methodology of set theorem to find the communities detection where the group belongs to activities. In addition to this, several basic concepts are stated in an exhaustive way where the research fields arise from social networks.  

scholarly journals Social Overload and Discontinuance Intention on Facebook: A Comparative Study

2021 ◽  
Vol 13 (22) ◽  
pp. 12556
Author(s):  
Chaeyoung Lim ◽  
Jongchang Ahn
Keyword(s):  
Social Network ◽  
Comparative Study ◽  
Cultural Context ◽  
Structural Equation ◽  
Psychological Reactance ◽  
Network Services ◽  
Equation Modeling ◽  
The Social ◽  
Social Features ◽  
Social Network Services

When users begin to feel uncomfortable about the influence of social network services (SNSs) on their lives, they react with various discontinuance behaviors. This comparative study intends to provide a comprehensive explanation of how the fatigue or regret phenomenon is related -to users’ diverse reactions against SNSs. This study attempts to answer two questions: 1) How do specific types of relationships influence social overload from SNS interactions on Facebook? and 2) How does social overload threaten the free usage of services and lead to users’ dissatisfaction with SNSs, and how do these constructs influence users’ intent to discontinue usage of SNSs? To this end, we test a reactance model with Facebook users (n = 433) using Partial Least Squares Structural Equation Modeling (PLS-SEM). This study found significant results of the reactance mechanism using samples from two countries, Korea and Japan, which support the generalizability of the reactance mechanism in SNS fatigue. The path of the psychological reactance mechanism in SNSs could differ by country. We also found that reactions toward persona non grata in SNSs differed by country. Our findings suggest that the specific cultural context should be considered when analyzing social overload in SNSs. In previous studies, insufficient attention has been paid to the social features or contexts of SNS. This study proposes a new categorization of relationships in the context of SNSs through the persona non grata concept. As SNSs are social platforms, emotions perceived from the social features of SNSs are an important construct that motivates people to continue using SNSs. Therefore, promoting free activities for users can be an important strategy for maintaining their motivation to use the service. It should be noted that the sample used in this study was slightly unbalanced by the inclusion of a greater proportion of young participants.

scholarly journals A Review of Social Features in Social Network Games

2017 ◽  
Vol 3 (2) ◽  
Author(s):  
Janne Paavilainen ◽  
Kati Alha ◽  
Hannu Korhonen
Keyword(s):  
Social Network ◽  
Network Integration ◽  
Network Games ◽  
Social Games ◽  
The Social ◽  
Social Features

Although social network games on Facebook have become popular, their actual sociability has been questioned. In this paper, we review the social features of 16 social games and, as a result, present a list of 30 social features in three categories: presence, communication, and interaction. A common set of features, which was found in all of the examined games, is mainly focused on the presence and communication aspects, while neglecting player interaction. In addition, social features are primarily used for acquisition and retention purposes, rather than monetization. These findings are useful for the study and design of social features in social games and in other games with social network integration.

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