Elsevier

Computer Networks

Volume 75, Part B, 24 December 2014, Pages 477-490
Computer Networks

Don’t take away my status! – Evidence from the restructuring of a virtual reward system

https://doi.org/10.1016/j.comnet.2014.08.022Get rights and content

Abstract

In a natural experiment on a popular German Question & Answer community we investigate how user status demotion affects user activity levels in online communities. The virtual reward system on this platform is designed to activate the status seeking behavior of its members. The members’ status within the community is represented by the member’s rank. In the experiment the platform operator restructured the virtual reward system, in the process reducing or abolishing the incentives for selected activities on the platform. After restructuring nearly all users saw their status demoted, with almost three quarters having lost one rank, and more than a quarter having lost two or more ranks. We identify the impact of status demotion by comparing how the members in these two groups respond to the restructuring. We find that users who lost two or more ranks reduce their post-event activities for which the incentives were reduced or abolished by 18% more than those who lost only one rank, and by 9% more than the latter for activities which were unaffected by the event.

Introduction

Since the inception of the Internet the number of online communities is constantly expanding and at the same time information technology is transforming the way people communicate and interact [9]. Online communities are used by people to share information, develop relationships, conduct business, and play games [28]. Despite the success of some online communities, many communities severely struggle with overcoming nonparticipation and low levels of contribution by their users (e.g., [9], [27], [34]). Therefore, a key challenge for online community providers is how users can be activated or incentivized so that they are not merely passive users but active contributors, and at the same time how to foster and sustain the activity levels of existing contributors (e.g., [33]).

Compared to traditional offline communities, online communities give operators an augmented set of options to stimulate user contribution behavior. This includes technological features like virtual reward systems, which are implemented in many popular online communities (e.g., Stack Overflow, Kahn Academy) [2]. Common features of such virtual reward system are points, levels and ranks, which are designed to activate the status seeking behavior of users (e.g., [6], [20]). Typically, users can earn these rewards by performing selected activities, and in this way increase their status within a community. Status or the relative rank in a certain group acts as a potent motivator for human behavior (e.g., [10], [16], [25], [35]). Some research suggests that virtual reward systems can positively affect user activity levels (e.g., [2], [15], [20]) and, hence, activate the status seeking behavior of users.

Virtual reward systems are rarely static, however, since community providers tend to amend them from time to time, with the intention of refreshing or improving their effect on user contribution. Common adjustments typically include modifications made to the structure of the point or award scheme. For example, the number of points needed to achieve ranks may be increased if it is felt that too many users have reached the highest level or rank on the platform, or that the virtual reward system is deemed to be ineffective in activating status seeking behavior. Depending on how the restructuration is designed, users may lose points and ranks in the process, i.e. they may experience status demotion. The effect of the restructuration of a virtual reward system on user activity levels in online communities has, to our knowledge, not yet been investigated. This could however lead to promising and useful results, especially as, in the field of marketing, research on customer loyalty programs suggests that consumer spending levels are negatively affected by customer demotion [41]. Whether these results also apply to user activity levels in online communities is a question that requires further needs to be explored. The difficulty of transferring results from the one environment to the other arises because online communities with virtual reward systems – unlike typical loyalty programs – provide environments without monetary or quasi-monetary benefits (e.g., upgrades, lounge access or priority booking at frequent flyer programs).

We exploit a natural experiment to analyze how status demotion affects user activity levels in online communities by using a unique and rich dataset provided by a German Question & Answer (Q&A) community. This exclusive dataset includes detailed information about all user activity on the platform between February 2006 and April 2008. The natural experiment took place in February 2007, in the middle of our observation period, when the operator of the platform undertook a fundamental restructuring of the virtual reward system. All registered users on the platform under study automatically participate in a virtual reward system, which assigns them a status within the community. On performing certain selected activities, users are rewarded with so-called status points, and by accumulating status points, users automatically move up in an ascending (hierarchical) ranking system. As part of the restructuration, the community provider changed the status point scheme for selected activities on the platform and retrospectively recalculated the total number of status points of each user based on the new incentive scheme. In addition, the provider modified the ranking system. These changes had two major consequences: (1) the incentives in form of status points were substantially reduced and, for certain activities, abolished, (2) almost three quarters of users were demoted by one rank and more than one quarter lost two or more ranks. To analyze the impact of the restructuring, we compare the contribution behavior of 1,647 users in the four weeks before and after the event.

We observe that both groups of users – those who lose one rank and those who lose two or more ranks – reduce their post-event activity levels, and the drop is even more pronounced for users who receive the stronger treatment. We identify the impact of status demotion on subsequent user contribution levels by comparing how each of these two user groups (the first losing one rank, and the second, losing two or more ranks) respond to the restructuring. After taking into account the reduction in the post-event activity levels of users who lose one rank, we find that the users who are demoted by two or more ranks reduce their activity levels by 18% for activities for which the incentives were reduced or abolished, and by 9% for those that were unaffected by the event. Hence, user status demotion has a statistically and economically significant negative impact on user contribution behavior.

This paper makes novel and significant contributions to research. To the best of our knowledge, we are the first to provide empirical evidence for the impact of status demotion on user activity levels in online communities. Our findings extend the work undertaken by Wagner et al. [41], but with the important difference that their research investigated hierarchical reward systems which offer monetary and quasi-monetary incentives, whereas our reward system only offers non-monetary benefits. Moreover, we contribution to the literature on online communities by offering new theoretical insights on the impact and operation of the key drivers that stimulate or inhibit user contribution behavior.

Section snippets

Literature review

Three streams of literature are relevant to our study. The first is concerned with the general design of online communities. The second investigates how virtual reward systems can be used to incentivize user engagement, while the third is related to the impact of status and status demotion on human behavior.

Research environment

The website at the center of our analysis was launched in January 2006 and has requested to remain anonymous. The platform offers registered and non-registered users the opportunity to ask questions to members of the community. All registered users automatically participate in the community’s virtual reward system. User participation is incentivized by rewarding nearly all types of active contributions with status points. In Table 1, we present a list of the main activities and the

Description

In February 2007, the operator of this Q&A community fundamentally restructured its virtual reward system. According to the operator, the objective of the restructuring was to simplify and enhance the reward system. The provider changed the status point scheme for the activities on the platform, retrospectively recalculated the total number of status points of each user and modified the ranking system. As a result of this restructuration, the number of status points that could be earned for

Dataset

We are fortunate in having a unique dataset at our disposal which allows us to analyze this natural experiment provided by the operator of the community. The whole dataset covers all user activities on the platform between the beginning of February 2006 and the end of April 2008. The number of newly registered users was 12,901 in 2006, 54,404 in 2007, and 25,909 up until the end of April 2008. During the observation period, we observe how these users collect 14,132,466 status points, and

Main variables

We use two variables to measures how user activity levels are affected by the restructuration, Ln(Friends & Links) and Ln(Answers & Questions) (see Section 5.2.6).

To account for the non-random variation of the natural experiment, we include user rank as well as the accumulated number of activities up until the last week before the event as control variables in our model (see Sections 5.2.3 User activity history, 5.2.5 Exogeneity of number of lost ranks). Therefore, we create dummy variables for

Conclusion

A key challenge for online community providers is the development and implementation of features and policies that can foster and sustain user activity levels. Apart from knowing which features and policies positively affect user activity levels, operators should also be aware of the actions which have been shown to adversely affect user contribution behavior. To the best of our knowledge, our paper is the first to investigate how status demotion affects user activity levels in online

Tobias Mutter holds a diploma in Economics from the University of Freiburg, Germany. Since 2011 he is a research assistant at the chair of Business Information Systems, Information Management & E-Finance at the University of Paderborn, Germany. His research interests include Economics of IS and Social Networks.

References (43)

  • J. Hamari

    Transforming homo economicus into homo ludens: a field experiment on gamification in a utilitarian peer-to-peer trading service

    Elect. Comm. Res. Appl.

    (2013)
  • N.E. Adler et al.

    Relationship of subjective and objective social status with psychological and physiological functioning: preliminary data in healthy, white women

    Health Psychol.

    (2000)
  • A. Anderson, D. Huttenlocher, J. Kleinberg, J. Leskovec, Steering user behavior with badges, in: Proceedings of the...
  • J. Antin et al.

    Badges in social media: a social psychological perspective

  • J.D. Angrist et al.

    Mostly Harmless Econometrics: An Empiricist’s Companion

    (2008)
  • J. Berger et al.

    Status characteristics and social interaction

    Am. Sociol. Rev.

    (1972)
  • I. Blohm et al.

    Gamification. Design of IT-based enhancing services for motivational support and behavioral change

    Bus. Inform. Syst. Eng.

    (2013)
  • R. Bougie et al.

    Angry customers don’t come back, they get back: the experience and behavioral implications of anger and dissatisfaction in services

    J. Acad. Market. Sci.

    (2003)
  • M. Caliendo et al.

    The microeconometric estimation of treatment effects – an overview

    Allgem. Stat. Arch.

    (2006)
  • Y. Chen et al.

    Social comparisons and contributions to online communities: a field experiment on MovieLens

    Am. Econ. Rev.

    (2010)
  • D. Constant et al.

    The kindness of strangers: the usefulness of electronic weak ties for technical advice

    Organ. Sci.

    (1996)
  • X. Drèze et al.

    Feeling superior: the impact of loyalty program structure on consumers’ perceptions of status

    J. Consum. Res.

    (2009)
  • X. Drèze et al.

    Recurring goals and learning: the impact of successful reward attainment on purchase behavior

    J. Market. Res.

    (2011)
  • S. Deterding et al.

    Gamification: toward a definition

  • T. Dunning

    Natural Experiments in the Social Sciences: A Design-Based Approach

    (2012)
  • R. Farzan, J.M. DiMicco, D.R. Millen, B. Brownholtz, W. Geyer, C. Dugan, When the experiment is over: deploying an...
  • L. Festinger

    A theory of social comparison processes

    Hum. Relat.

    (1954)
  • S. Fournier et al.

    Preventing the premature death of relationship marketing

    Harvard Bus. Rev.

    (1998)
  • R.P. Gephart

    Status degradation and organizational succession: an ethnomethodological approach

    Admin. Sci. Quart.

    (1978)
  • J. Hamari, J. Koivisto, H. Sarsa, Does gamification work? – a literature review of empirical studies on gamification,...
  • L.B. Jeppesen et al.

    Why do users contribute to firm-hosted user communities? The case of computer controlled music instruments

    Organ. Sci.

    (2006)
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    Tobias Mutter holds a diploma in Economics from the University of Freiburg, Germany. Since 2011 he is a research assistant at the chair of Business Information Systems, Information Management & E-Finance at the University of Paderborn, Germany. His research interests include Economics of IS and Social Networks.

    Dennis Kundisch has been professor of Information Management & E-Finance at the University of Paderborn since July 2009. He holds a Master’s degree in Business Administration from the University of Dayton, USA, and a diploma in Business Administration from the University of Augsburg, Germany. He received his PhD and his habilitation from the University of Augsburg in 2002 and 2006, respectively, for publications in the area of e-finance. From 2002 to 2006 he served as Assistant Professor at the Department of Information Systems and Financial Engineering at the University of Augsburg. From 2006 to 2008 he was acting director of the Chair of Information Systems at the University of Freiburg. He was subsequently Visiting Professor at the University of Calgary, Canada and at the University of New South Wales, Australia. After a guest professorship in Information Systems, Value Management & E-Business at the Technical University of Brandenburg, Germany, he joined the University of Paderborn in the 2009 summer term. Between October 2009 and April 2013 he was Vice-Dean of IT and Public Relations at the Faculty of Business Administration and Economics. In May 2013 Dennis Kundisch was appointed chair of the Scientific Committee on Business Information Systems of the German Academic Association for Business Research (VHB). His research interests include business modeling, the economics of IS, e-finance, IT business value, und e-learning.

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