Abstract

The sustainability of SNSs (social networking services) is a major issue for both business strategists and those who are simply academically curious. The “network effect” is one of the most important theories used to explain the competitive advantage and sustainability of the largest SNSs in the face of the emergence of multiple competitive followers. However, as numerous cases can be observed when a follower manages to overcome the previously largest SNS, we propose the following research question: Why are the largest social networking services sometimes unable to sustain themselves? This question can also be paraphrased as follows: When (under what conditions) do the largest SNSs collapse? Although the network effect generally enables larger networks to survive and thrive, exceptional cases have been observed, such as NateOn Messenger catching up with MSN Messenger in Korea (Case 1), KakaoTalk catching up with NateOn in Korea (Case 2), Facebook catching up with Myspace in the USA (Case 3), and Facebook catching up with Cyworld in Korea (Case 4). To explain these cases, hypothesis-building and practice-oriented methods were chosen. While developing our hypothesis, we coined the concept of a “larger population social network” (LPSN) and proposed an “LPSN effect hypothesis” as follows: The largest SNS in one area can collapse when a new SNS grows in another larger population’s social network. For the validity and reliability of our case studies, we used an evidence chain and case study protocol with a publicly-accessible LPSN index to determine which SNS is better for participating in or adding offline social networks to their platform.

Highlights

  • Some of the most powerful companies in the world are social networking services (SNSs) such as Facebook or mobile instant messaging services like WhatsApp, Line, WeChat, and KakaoTalk

  • Explanation models and multiple case study methods are strongly recommended by Yin, which was a factor in our decision to utilize them [1]

  • Under what circumstances can a dominant SNS be destroyed by a newer entrant and competitor? To answer this question, we developed an larger population social network” (LPSN) effect hypothesis as follows: If a leading SNS does not have the majority of the offline social network universe using its platform, it can be defeated by a newer competitor who can obtain a larger social network population more quickly

Read more

Summary

Introduction

Some of the most powerful companies in the world are social networking services (SNSs) such as Facebook or mobile instant messaging services like WhatsApp, Line, WeChat, and KakaoTalk. If the LPSN index (width rate × depth rate) of the first SNS becomes smaller than the newer SNS’s index, the newer SNS can overtake the older one, where the width rate = the number of users/local population, and the depth rate = the average number of first-degree friends in the SNS/the Dunbar Number [2] This hypothesis means that a company that eventually gains a larger social network population or effectively replicates an offline real social network will enjoy the benefits of the network effect. To verify this hypothesis in line with the explanation research method, we chose multiple case studies. The fourth investigates Facebook overtaking Cyworld, which was once the largest social network in Korea [6]

Literature Review
Case analysis tool
Implications
Analysis of the Four Cases
Construct Definition
A B CD E F GH
Discussion
Summary
Contribution
Findings
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call