Elsevier

Information Systems

Volume 37, Issue 3, May 2012, Pages 200-212
Information Systems

Understanding user differences in open-source workflow management system usage intentions

https://doi.org/10.1016/j.is.2011.10.002Get rights and content

Abstract

Open-source software systems have become a viable alternative to proprietary systems. We collected data on the usage of an open-source workflow management system developed by a university research group, and examined this data with a focus on how three different user cohorts – students, academics and industry professionals – develop behavioral intentions to use the system. Building upon a framework of motivational components, we examined the group differences in extrinsic versus intrinsic motivations on continued usage intentions. Our study provides a detailed understanding of the use of open-source workflow management systems in different user communities. Moreover, it discusses implications for the provision of workflow management systems, the user-specific management of open-source systems and the development of services in the wider user community.

Highlights

► We establish a theoretical model explaining user intentions to use the YAWL system. ► We explore three user cohorts, viz., students, academics and professional users. ► We show how different factors determine their motivations to use YAWL. ► We detail implications for system development and user management.

Introduction

Over the last decade, the open source software (OSS) phenomenon has revolutionized the way in which organizations and individuals create, distribute, acquire and use information systems and services, making it an increasingly important topic for information systems researchers. Many aspects have been investigated in this vein of research, including participation in open-source development [29], business models [10], community ideology [34], motivation [6] and governance [33]. In this paper, we aim to contribute to this current and relevant body of knowledge by studying the behavioral factors that lead to individuals' acceptance of an open-source workflow management system. To the best of our knowledge, this is the first time that the acceptance of an open-source workflow management system is analyzed. Also, our study is the first that explicitly examines differences in acceptance behaviors across three different user cohorts.

Specifically, we consider the YAWL system [39] as an example of open-source workflow management system. Two reasons underpin this choice. First, the YAWL system represents a state-of-the-art open-source workflow management system that is developed based on a solid grounding in research. Also, not only has it enjoyed uptake in industry practice, but it has also generated a significant impact in academia [36]. Second, the system is supported by a wide and diversified user community that includes three distinct user cohorts: student users, academic users and professional users. This is because the YAWL system is an OSS system that aims to address three different purposes:

  • (i)

    to serve as a platform upon which researchers can prototype cutting-edge workflow technology;

  • (ii)

    to educate students on business process modeling and automation; and

  • (iii)

    to generate industry uptake.

In this respect, the YAWL system shares some commonalities with the open-source operating system GNU/Linux (whose distributions are used both in educational institutions to teach software and operating systems as well as in commercial environments), but differs from the majority of other OSS products (e.g. Mozilla Firefox) that target general users and do not necessarily have an educational purpose.

In this paper, we seek to examine differences in the behavioral motivations to accept the YAWL system across its three different user cohorts. Knowing how different user cohorts perceive OSS software and how these perceptions affect their individual usage decisions is important because it helps managers in charge of software acquisitions to design more effective implementation strategies and offers guidance for personalized management interventions. This knowledge is also important for providers of OSS software solutions and related services for developing effective personalized marketing strategies. Further, the open-source workflow management system YAWL that we are examining is different from traditional information systems in that it explicitly caters to different user cohorts instead of being purpose-built for a particular cohort like many other systems (e.g., DSS for decision makers, EIS for executives, TPS for operational staff). Systems that are built for a variety of users face important challenges in acceptance and usage behaviors because different stakeholders typically have multiple and often conflicting objectives and priorities and rarely agree on a set of common aims [31], [51]. Correspondingly, in our paper we set out to answer the following two research questions:

  • (1)

    Which factors contribute to explaining individuals' acceptance of an open-source workflow management system?

  • (2)

    How do these factors differ across three user cohorts of an open-source workflow management system, viz., student, academic and professional users?

We proceed as follows. First, we review the literature on determinants of the behavioral intentions to use open-source systems and introduce the specific research context of our study by providing relevant background to the YAWL initiative. Then, we describe our research model and develop a set of hypotheses about the expected differences across the three user cohorts considered. Next, we describe design and conduct of our empirical study to test the model and the hypotheses. We discuss the results and identify important implications for theory and practice before concluding the paper with a review of contributions and limitations.

Section snippets

Determinants of the behavioral intentions to use open-source systems

Much research has examined different motivating factors that lead to an individual's intentions to use an information system. Venkatesh et al. [43], [45] summarize these studies. Importantly, research has shown that both intrinsic motivators such as hedonistic motives (e.g., [17]) or enjoyment [41] as well as extrinsic motivators such as outcome value expectancies (e.g., [50]), perceptions of usefulness [12] or social motives [46] are important motivations for the behavioral intentions to use

An integrative model of the behavioral intentions to use OSS software

The literature to date has established knowledge about a wide range of factors that contribute to individuals' intentions to use technology, both in proprietary (e.g., [43]) as well as in open-source contexts (e.g., [14]). The literature spans extrinsic and intrinsic motivating factors as well as social aspects. Reconfirming the importance of well-known factors such as the influence of perceived usefulness and perceived ease of use will, therefore, not contribute much to the literature.

Our

Data collection

We collected empirical data via a field survey of users of the YAWL system during 6 months in 2009/10. The survey method is appropriate when clearly identified independent and dependent variables exist, and a specific model is present that theorizes the relationships between the variables [27], which is the case in our study.

As discussed above, the YAWL system has three primary user cohorts: it is in use in small-to-medium sized organizations, it is in use by academics working on business

Analysis and results

Data analysis proceeded in several steps. First, our data analysis concerned the examination of the introduced research model in terms of the significances and effect sizes (β) for each hypothesized path, and explained variance (R2) for each dependent variable. Data analysis was carried out using component-based structural equation modeling implemented in SmartPLS v2.0 (www.smartpls.de). Fig. 2 gives the results.

The results displayed in Fig. 2 show that our model explained 59% of the variance

Discussion

In our data analysis, we examined differences in the relative importance of behavioral factors on the intention to (continue to) use the open-source workflow management system YAWL. Our research model, synthesized from prior literature, received overall strong support from the data and confirmed relationships as expected. More importantly, our subsequent analysis showed a number of significant differences between academic, student and practitioner users; with some of the differences being in

Conclusions

In this paper, we examined a model of open-source workflow management system acceptance across three specific user cohorts, viz., academic users, practitioner users and student users. To the best of our knowledge, this is the first time such a comparative study on open-source system acceptance is carried out over different user cohorts. Our findings attest to significant differences in the perceptions of motivations and behavioral control leading to the intentions to use the open-source system.

Acknowledgments

Dr La Rosa's contributions to this work have partially been sponsored by NICTA. NICTA is funded by the Australian Government as represented by the Department of Broadband, Communications and the Digital Economy and the Australian Research Council through the ICT Centre of Excellence program.

References (51)

  • D. Zeitlyn

    Gift economies in the development of open source software: anthropological reflections

    Research Policy

    (2003)
  • M. Adams et al.

    Open source software for workflow management: the case of YAWL

    IEEE Software

    (2011)
  • R.P. Bagozzi et al.

    Open source software user communities: a study of participation in linux user groups

    Management Science

    (2006)
  • H. Benbya et al.

    Understanding developers' motives in open source projects: a multi-theoretical framework

    Communications of the Association for Information Systems

    (2010)
  • A. Bhattacherjee

    Understanding information systems continuance: an expectation-confirmation model

    MIS Quarterly

    (2001)
  • A. Bonaccorsi et al.

    Comparing motivations to take part in the open source movement: from community to business

    Knowledge, Technology & Policy

    (2006)
  • S.A. Brown et al.

    Do I really have to? User acceptance of mandated technology

    European Journal of Information Systems

    (2002)
  • I. Chengalur-Smith et al.

    An empirical analysis of the business value of open source infrastructure technologies

    Journal of the Association for Information Systems

    (2010)
  • D.R. Compeau et al.

    Computer self-efficacy: development of a measure and initial test

    MIS Quarterly

    (1995)
  • F.D. Davis et al.

    Extrinsic and intrinsic motivation to use computers in the workplace

    Journal of Applied Social Psychology

    (1992)
  • S. Devaraj et al.

    Performance impacts of information technology: is actual usage the missing link?

    Management Science

    (2003)
  • A. Hars et al.

    Working for free? Motivations for participating in open-source projects

    International Journal of Electronic Commerce

    (2002)
  • J. Henseler

    On the convergence of the partial least squares path modeling algorithm

    Computational Statistics

    (2010)
  • W. Ke et al.

    Motivations in open source software communities: the mediating role of effort intensity and goal commitment

    International Journal of Electronic Commerce

    (2009)
  • J. Lerner et al.

    Some simple economics of open source

    The Journal of Industrial Economics

    (2002)
  • Cited by (14)

    • Detecting approximate clones in business process model repositories

      2015, Information Systems
      Citation Excerpt :

      To mitigate potential threats to internal validity, first we explicitly examined algorithm clustering versus participants clustering as part of the evaluation (see Table 9). Second, we also collected established measures for process modeling expertise [24], familiarity [25] and experience [26–28] and examined the relevance of these demographic factors to the results specifically in a regression model as reported in Section 6. Finally, in the user evaluations we included several clusters produced by each technique varied by different benefit–cost ratios, to explore whether variations could also be caused by “better” or “worse” clusters (see Table 8).

    • Predicting software future sustainability: A longitudinal perspective

      2015, Information Systems
      Citation Excerpt :

      A high level of development sustainability is an indication to community users that a given project is alive, healthy and potentially responsive. Several researchers have studied open source software (e.g. [44,45,46]). Many of these have studied the various factors that drive OSS projects׳ development sustainability, including developer and user attraction [4], development base and project age [4], having developers with higher levels of different skills [27], project status and activity [53], having a nonmarket sponsor [50], and having a copy-left licence [7].

    • Real-time risk monitoring in business processes: A sensor-based approach

      2013, Journal of Systems and Software
      Citation Excerpt :

      In part three, they were asked to provide details about their experience in using YAWL in particular. The questions for parts one to three were, where possible, adapted from prior surveys on process modeling (La Rosa et al., 2011a,b) and usage of the YAWL system (Recker and La Rosa, 2012). In part four, users had to report on their experience in using the system to perform the two tasks in the tutorial.

    • Formal Model Checking and Transformations of Models Represented in UML with Alloy

      2021, Communications in Computer and Information Science
    View all citing articles on Scopus
    View full text