Understanding user differences in open-source workflow management system usage intentions
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)
- et al.
Prediction of goal-directed behavior: attitudes, intentions, and perceived behavioral control
Journal of Experimental Social Psychology
(1986) - et al.
Intrinsic motivation in open source software development
Journal of Comparative Economics
(2007) - et al.
Open source as appropriate technology for global education
International Journal of Educational Development
(2002) - et al.
User acceptance model of open source software
Computers in Human Behavior
(2008) Something for nothing: management rejection of open source software in australia's top firms
Information & Management
(2005)- et al.
Computer playfulness and anxiety: positive and negative mediators of the system experience effect on perceived ease of use
Information & Management
(2003) - et al.
Motivation of software developers in open source projects: an internet-based survey of contributors to the linux kernel
Research Policy
(2003) - et al.
YAWL: Yet Another Workflow Language
Information Systems
(2005) - et al.
Computer technology training in the workplace: a longitudinal investigation of the effect of mood
Organizational Behavior and Human Decision Processes
(1999) - et al.
An empirical analysis of open source developers' motivations and continuance intentions
Information & Management
(2007)
Gift economies in the development of open source software: anthropological reflections
Research Policy
Open source software for workflow management: the case of YAWL
IEEE Software
Open source software user communities: a study of participation in linux user groups
Management Science
Understanding developers' motives in open source projects: a multi-theoretical framework
Communications of the Association for Information Systems
Understanding information systems continuance: an expectation-confirmation model
MIS Quarterly
Comparing motivations to take part in the open source movement: from community to business
Knowledge, Technology & Policy
Do I really have to? User acceptance of mandated technology
European Journal of Information Systems
An empirical analysis of the business value of open source infrastructure technologies
Journal of the Association for Information Systems
Computer self-efficacy: development of a measure and initial test
MIS Quarterly
Extrinsic and intrinsic motivation to use computers in the workplace
Journal of Applied Social Psychology
Performance impacts of information technology: is actual usage the missing link?
Management Science
Working for free? Motivations for participating in open-source projects
International Journal of Electronic Commerce
On the convergence of the partial least squares path modeling algorithm
Computational Statistics
Motivations in open source software communities: the mediating role of effort intensity and goal commitment
International Journal of Electronic Commerce
Some simple economics of open source
The Journal of Industrial Economics
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