ANALISA INTERAKSI USER DI MEDIA SOSIAL MENGENAI INDUSTRI FINTECH MENGGUNAKAN SOCIAL NETWORK ANALYSIS (STUDI KASUS: GOPAY, OVO DAN LINKAJA)

2020 ◽  
Vol 4 (3) ◽  
pp. 341-351
Author(s):  
Alisya Putri Rabbani ◽  
Andry Alamsyah ◽  
Sri Widiyanesti
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Customer Relationship Management ◽  
Word Of Mouth ◽  
Relationship Management ◽  
Customer Relationship ◽  
Customer Engagement ◽  
Electronic Word Of Mouth ◽  
Financial Technology

Financial technology (Fintech) mengalami pertumbuhan yang cukup pesat sejak awal kehadirannya di Indonesia. Fintech merupakan industri jasa finansial yang memanfaatkan teknologi sehingga memungkinkan penggunanya melakukan berbagai transaksi keuangan secara digital. Saat ini banyak fintech baru yang bermunculan di Indonesia, sehingga dibutuhkan strategi yg tepat untuk bisa bersaing dgn kompetitor. Analisis interaksi pengguna media sosial, biasa disebut dengan Electronic Word of Mouth (EWOM) dapat memberikan informasi yang dapat mendukung berbagai keputusan bisnis, salah satunya adalah terkait customer engagement. Tujuan dari penelitian ini adalah mengidentifikasi customer engagement yang terbentuk dari hasil implementasi Social Customer Relationship Management (SCRM) yang dilakukan oleh perusahaan. Data yang digunakan dalam penelitian ini adalah data sekunder yang merupakan data tweets berisi interaksi pengguna twitter mengenai 3 fintech di Indonesia yaitu GoPay, OVO, dan LinkAja. Analisis data dilakukan peneliti mengunakan metode social network analysis dengan menghitung properti jaringan dari ketiga objek penelitian. Hasil menunjukkan bahwa LinkAja mebentuk customer engagement lebih optimal lewat implementasi SCRM yang dilakukan perusahaan.  

scholarly journals Analisa Interaksi Pengguna Media Sosial Perusahaan Sekuritas di Indonesia Saat Covid-19 menggunakan Social Network Analysis (Studi Kasus: Indopremier dan Bursa Efek Indonesia)

2020 ◽  
Vol 4 (2) ◽  
pp. 72
Author(s):  
Della Diniyati ◽  
Agung Triayudi ◽  
Ira Diana Sholihati
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Customer Relationship Management ◽  
Interaction Analysis ◽  
Relationship Management ◽  
Customer Relationship ◽  
User Generated Content ◽  
Customer Engagement ◽  
Twitter User

The development of information technology, especially social media users, is increasing. Many securities companies make use of technology so that users can make various transactions and search for information digitally. This can be used in online marketing strategies and information dissemination, one of which is Twitter. Users can disclose known information and this information is User Generated Content (UGC), which is the track record left behind. Twitter user interaction analysis can provide information that supports various business decisions, such as customer engagement. This research takes advantage of the Covid-19 phenomenon in which the stock market has experienced a global downturn. The purpose of this study is to determine the level of awareness and identify customer engagement from the results of the implementation of Social Customer Relationship Management (SCRM) by the company. This study uses the Social Network Analysis (SNA) method, with secondary data in the form of tweets of Twitter user interactions regarding 2 securities companies, IndoPremier, and the Indonesia Stock Exchange. The result is that IndoPremier is a securities company that is superior in informing optimal customer engagement through the implementation of SCRM.Keywords:Social Network Analysis, User Generated Content, Social Customer Relationship Management, COVID-19.

Protecting Privacy by Secure Computation

2012 ◽  
pp. 268-284
Author(s):  
Florian Kerschbaum ◽  
Daniel Funke
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Relationship Management ◽  
Secure Computation ◽  
Customer Relationship ◽  
System A ◽  
Input And Output ◽  
Social Network Structure ◽  
New Information

We consider collaborative social network analysis without revealing private inputs of the participants. This problem arises in criminal investigations of federal police organization where single organizations may not reveal their data without probable cause, but the aggregation of all data entails new information, such as the entire social network structure. We present algorithms for securely computing either the entire, anonymized graph or only specific metrics for individuals. We use secure computation protocols to disclose nothing, but the output of the analysis, i.e. anything that cannot be derived from one’s input and output – including other parties’ input – remains private. We have implemented a prototype for SAP’s investigative case management system – a derivate of its customer relationship management.

Protecting Privacy by Secure Computation

2012 ◽  
pp. 565-580
Author(s):  
Florian Kerschbaum ◽  
Daniel Funke
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Relationship Management ◽  
Secure Computation ◽  
Customer Relationship ◽  
System A ◽  
Input And Output ◽  
Social Network Structure ◽  
New Information

We consider collaborative social network analysis without revealing private inputs of the participants. This problem arises in criminal investigations of federal police organization where single organizations may not reveal their data without probable cause, but the aggregation of all data entails new information, such as the entire social network structure. We present algorithms for securely computing either the entire, anonymized graph or only specific metrics for individuals. We use secure computation protocols to disclose nothing, but the output of the analysis, i.e. anything that cannot be derived from one’s input and output – including other parties’ input – remains private. We have implemented a prototype for SAP’s investigative case management system – a derivate of its customer relationship management.

USING SOCIAL NETWORK PARADIGM FOR DEVELOPING A CONCEPTUAL FRAMEWORK IN CRM

2011 ◽  
Vol 01 (04) ◽  
pp. 63-71
Author(s):  
Mohammad Javad Mosadegh ◽  
Mehdi Behboudi
Keyword(s):  
Social Networks ◽  
Social Network ◽  
New Media ◽  
Conceptual Framework ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Customer Relationship ◽  
Its Analysis ◽  
Analysis Tools

This study develops a conceptual framework for applying social networks in usual CRM models. Recent changing in customer relationship theme and putting new media and network-based paradigm into practice makes it imperative to find how social networks affect CRMs. Accordingly, this study explains the role of social networks in customer relationship management by using its analysis, tools and aspects of this concepts based on CRM models. We have provided a SCRM framework that is based on usual CRM models and incorporates Social networks and its tools, methods and analysis. The framework is combination of Social networks concept and traditional CRM concepts.

scholarly journals Dior and digital storytelling: on the marketing of luxury brand narratives

2021 ◽  
Author(s):  
Emily Raymond
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Marketing Strategy ◽  
Digital Storytelling ◽  
Word Of Mouth ◽  
Postmodern Theory ◽  
Luxury Brand ◽  
Brand Communities

A postmodern theory and contemporary marketing strategy, digital storytelling is the virtual means by which a story can be organized. Less traditional to the beginning, middle and end of conventional narratives, this framework suggests that individuals connect the dots of a story by comparing their reading with others. To conceptualize this model within fashion, this paper follows Christian Dior’s Secret Garden campaign as it is broadcasted and diffused through Instagram and YouTube. Carried out by consumers’ interpretations as the story unfolds, this study aims to measure the interaction of media and audience within the parameters of social network analysis following Rihanna’s casting as Dior’s newest protagonist. Characterized by its hyperrealistic nature and speeded-up cultural tropes, this case underlines the epistemic shift for luxury brand communities today. As a result, this paper indicates the success of e-word-of-mouth marketing, and denotes the strength of fashion film as an illustrative medium of communication.

scholarly journals Dior and digital storytelling: on the marketing of luxury brand narratives

2021 ◽  
Author(s):  
Emily Raymond
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Marketing Strategy ◽  
Digital Storytelling ◽  
Word Of Mouth ◽  
Postmodern Theory ◽  
Luxury Brand ◽  
Brand Communities

A postmodern theory and contemporary marketing strategy, digital storytelling is the virtual means by which a story can be organized. Less traditional to the beginning, middle and end of conventional narratives, this framework suggests that individuals connect the dots of a story by comparing their reading with others. To conceptualize this model within fashion, this paper follows Christian Dior’s Secret Garden campaign as it is broadcasted and diffused through Instagram and YouTube. Carried out by consumers’ interpretations as the story unfolds, this study aims to measure the interaction of media and audience within the parameters of social network analysis following Rihanna’s casting as Dior’s newest protagonist. Characterized by its hyperrealistic nature and speeded-up cultural tropes, this case underlines the epistemic shift for luxury brand communities today. As a result, this paper indicates the success of e-word-of-mouth marketing, and denotes the strength of fashion film as an illustrative medium of communication.

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