Elsevier

Computers in Human Behavior

Volume 49, August 2015, Pages 390-399
Computers in Human Behavior

Open source software: The effects of training on acceptance

https://doi.org/10.1016/j.chb.2015.03.029Get rights and content

Highlights

  • An acceptance model after training in an open source software solution is designed.

  • Increasing training will increase open source software acceptance.

  • Training, user fit, complexity and trainer support are critical in the acceptance.

Abstract

Open Source Software (OSS) is an alternative to proprietary software. It is growing in popularity, which has brought about an increase in research interest. Most of the research studies have focused on identifying individual personal motives for participating in the development of an OSS project, analyzing specific solutions, or the OSS movement, itself. No studies have been found which have undertaken research on the impact of user experience and training on OSS. The study reported here sought to identify factors that predict acceptance of technologies based on OSS after training in these solutions. A research model based on the Technology Acceptance Model (Davis, 1989) was developed. Furthermore, the possible moderating effects of users’ gender, age and level of education were analyzed. It was found that external determinants such as user training, user fit, technological complexity and trainers’ support were important indicators in the success of adopting these solutions.

Introduction

Open Source Software (OSS) is a phenomenon of increasing significance (Lundell, Lings, & Lindqvist, 2010). In recent years, it has become a movement popular with end-users, companies and public administrations attracted by the possibility of controlling the design of the software (Höst and Oručević-Alagić, 2011, Rolandsson et al., 2011). So, OSS allows freedom to have access to the system software regardless of associated price or cost. This has brought about an increased interest from the industry on how to use open source components, to participate in the open source community, to build business models around this type of software development, and to learn more about open source development methodologies (Höst & Oručević-Alagić, 2011).

This freedom to access to OSS is divided into four essential parts (GNU, 2013): (1) the freedom to run the program, for any purpose; (2) the freedom to study how the program works, and change how it does your computing as you wish; (3) the freedom to redistribute copies so you can help your neighbor; (4) the freedom to distribute copies of your modified versions to others. Indeed, all OSS licenses are essentially the same with respect to these four freedoms; however, it is worth noting that OSS licenses differentiate in the degree of restrictions imposed on the ability of the user to redistribute modified versions based on a concrete OSS (Sen, Subramaniam, & Nelson, 2011).

In the main, the concern of prior research on OSS is twofold, and in both, the education and training of individuals have a relevant role on the development of these solutions. On the one hand, numerous studies have studied the motivations of his adoption. In this sense, Feller and Fitzgerald (2002) divided the motivational factors into three groups: technological, economic, and socio-political. Similarly, Qu, Yang, and Wang (2011) identified three groups of motivations in an enterprise environment: organizational, technological, and environmental. One year later, Lakka, Michalakelis, Varoutas, and Martakos (2012) analyzed the determinants of the OSS market potential through the case of the Apache web server. Their findings suggest that the diffusion of Apache depends on factors both endogenous and exogenous to a particular country, namely technological infrastructure, level of skills and education, and Information and Telecommunication Technologies trade.

Other studies have analyzed how organizations adopt these solutions. Hauge, Ayala, and Conradi (2010) identified six distinctly different ways in which organizations adopt it: (1) deploying OSS products in their operational environment as end users; (2) using OSS CASE tools in software development; (3) integrating OSS components into their own software systems; (4) participating in the development of OSS products controlled by another organization or community; (5) providing their own OSS products and relating to a community around the product; (6) using software development practices, often associated with OSS communities, within a company or consortium of companies (e.g. using practices like code sharing, peer reviewing, user contributions).

In general, all these forms of adoption need the support of educational and training activities (Gallego, Luna, & Bueno, 2008). In fact, the analysis of the relationship between training and the adoption of OSS is recurrent in the literature. In this sense, Carmichael and Honour (2002) concluded that the dynamic and responsive nature of OSS and the existence of freely available documentation and online communities offers an opportunity for educators, network administrators and software developers to participate in the development of resources appropriate to local needs while developing their own skills.

Also, this relationship between his adoption and the support of educational and training activities is treated in research whose objective is to analyze how its helps to hold a strategic position in a knowledge economy (Ajila and Wu, 2007, Yildirim and Ansal, 2011). In this way, many countries are promoting policies to favor its implementation. This is the case in the European Union (EU). It has defined several policy implementation areas that relate to OSS (Bouras et al., 2014) among which are the policies for the educational use of it and its integration in learning environments. Also, many developing countries consider it as a national strategic choice. For that, these countries have increased strategic preference for this software in e-government, knowledge networks and education systems (Yildirim & Ansal, 2011). In the same way, Rooij (2011) affirmed that in international education the adoption of OSS teaching and learning applications is relatively mainstream.

Education and training on OSS are relevant in order to ensure the diffusion from all stakeholder groups (Kemp, 2009) mainly end-users. Besides, end-users and support staff required training to take full advantage of it (Au, Carpenter, Chen, & Clark, 2009). Furthermore, many works study the role of a technology to enhance efficiency and effectiveness and the necessity of introducing some governance mechanisms with this purpose (Milinovic, Tingle, & Vrga, 2003). So, Noni, Ganzaroli, and Orsi (2013) made a dimensional comparative analysis to show the evolution of OSS governance with six categories of governance mechanisms: (1) modularization; (2) division of roles; (3) delegation of decision-making; (4) training and indoctrination (definition of formal procedures and requirements to acquire the status of committed developers); (5) formalization (the introduction of standardized tools and procedures to coordinate activities such as bug reporting, version management, freezing, and so forth); and (6) leadership (autocratic versus democratic). In this same way, Kemp (2010) considered that a training and awareness programmed is of the essence of good OSS governance to ensure that the principles of the OSS strategy and policy are understood and met throughout the organization. In addition, Spinellis and Giannikas (2012) highlighted that the direct intra-organizational network effects on the adoption of this type of technology are associated with the training, among other factors, such as the prevalence of a particular product within the organization where it enjoys advantages over a competing product in the areas of Information Technology (IT) support, and software provision.

Noteworthy in this respect is that all these studies show the necessity of developing training mechanics under an intra-organizational point of view without considering the previous training of the user in OSS. In this sense, the authors have observed that a gap exists concerning the impact of user experience and training on it in the acceptance of this technology. Besides, in a general way, the literature has not considered the possibility that their end-users have received training on these solutions during their education and its impact in the acceptance toward an OSS solution.

Our aim in this paper is to contribute to filling part of that gap. Our main objective is to analyze how OSS training received by the end-user in different educational stages influences acceptance and usage intention toward OSS.

Section snippets

Prior research

Usage intention of technology is a research topic widely studied. We can identify hundreds of studies that attempt to analyze the usage intention of the technology from very different points of view (e.g. Hsiao and Yang, 2011, Hsu and Chiu, 2004, Karahanna and Straub, 1999, Teo and Noyes, 2011, Venkatesh and Brown, 2001, Venkatesh and Davis, 2000). All these studies have the objective of determining the factors that influence on the usage intention of the technology, such as social pressure,

Conceptual model/external variables

Independent of the internal constructs of the TAM model, OSS users consider that the acceptance of it is influenced by some external variables. Therefore, the goal is to identify the external constructs that influence the intention of use of an OSS solution after training. The four TAM constructs and four further external constructs form the first nine hypotheses investigated in this study.

Training is recommended before, during, and after the implementation (Hong & Kim, 2002). Igbaria et al.

Data collection

This study utilized a web-based survey to collect data for quantitative testing of the research model. The survey was conducted from December to May 2012. The survey was created with Google Drive. Responses can be exported to comma-separated values (CSV) format, a simple file format used to store tabular data. Files in the CSV format can be imported to and exported from programs that store data in tables, in our case OpenOffice Calc.

The research questionnaire was delivered online through the

Results

The adequacy of the measurement model was assessed by using a reliability test, a confirmatory factor analysis (i.e. convergent and discriminant validities), and a model fit test.

Discussion

This study has tested hypotheses on the relationship between OSS training and acceptance. Concretely, OSS training has a positive impact on student usage behavior of an OSS solution. The results are in line with previous studies. With this in mind, Igbaria and Iivari (1995) concluded that training and educational programs may foster a feeling of self-efficacy and emphasize the user friendliness toward the technology. In a similar way, Agarwal et al. (1996) recommended the design of user

Conclusions

Little research has tested the acceptance of OSS solutions, and more specifically none have looked at training. This study is an attempt to rectify this. To investigate the factors that influence successful acceptance of OSS solutions, this study extended the technology acceptance model, and demonstrates the impacts of individual and technological issues on user intention to use.

In this sense, the aim of this work was to evaluate the impact of training in OSS usage intention. Based on the

References (79)

  • R. Cheung et al.

    Predicting user acceptance of collaborative technologies an extension of the technology acceptance model for e-learning

    Computers & Education

    (2013)
  • F. Dambrot et al.

    Correlates of sex differences in differences in attitudes toward and involvement with computers

    Journal of Vocational Behavior

    (1985)
  • M.T. Dishaw et al.

    Extending the technology acceptance model with task–technology fit constructs

    Information & Management

    (1999)
  • M.D. Gallego et al.

    User acceptance model of open source software

    Computers in Human Behavior

    (2008)
  • S. Goode

    Something for nothing management rejection of open source software in Australia’s top firms

    Information & Management

    (2005)
  • G. Green et al.

    The impacts of quality and productivity perceptions on the use of software process improvement innovations

    Information and Software Technology

    (2005)
  • O. Hauge et al.

    Adoption of open source software in software-intensive organizations – A systematic literature review

    Information and Software Technology

    (2010)
  • K. Hong et al.

    The critical success factors for ERP implementation an organizational fit perspective

    Information & Management

    (2002)
  • M. Höst et al.

    A systematic review of research on open source software in commercial software product development

    Information and Software Technology

    (2011)
  • C.H. Hsiao et al.

    The intellectual development of the technology acceptance model: A co-citation analysis

    International Journal of Information Management

    (2011)
  • M.H. Hsu et al.

    Internet self-efficacy and electronic service acceptance

    Decision Support Systems

    (2004)
  • S.-Y. Hung et al.

    User acceptance of intergovernmental services: An example of electronic document management system

    Government Information Quarterly

    (2009)
  • M. Igbaria et al.

    The effects of self-efficacy on computer usage

    Omega

    (1995)
  • M. Igbaria et al.

    Correlates of user satisfaction with end user computing: An exploratory study

    Information and Management

    (1990)
  • E. Karahanna et al.

    The psychological origins of perceived usefulness and ease-of-use

    Information & Management

    (1999)
  • R. Kemp

    Current developments in open source software

    Computer Law & Security Review

    (2009)
  • R. Kemp

    Open source software (OSS) governance in the organisation

    Computer Law & Security Review

    (2010)
  • W.R. King et al.

    A meta-analysis of the technology acceptance model

    Information & Management

    (2006)
  • S. Lakka et al.

    Exploring the determinants of the OSS market potential: The case of the Apache web server

    Telecommunications Policy

    (2012)
  • S. Lee et al.

    Factors affecting the usage of intranet: A confirmatory study

    Computers in Human Behavior

    (2009)
  • P. Legris et al.

    Why do people use information technology? A critical review of the technology acceptance model

    Information & Management

    (2003)
  • M. Milinovic et al.

    CARNet educated users for effective utilisation of information technology

    Computer Communications

    (2003)
  • F. Pai et al.

    Applying the technology acceptance model to the introduction of healthcare information systems

    Technological Forecasting and Social Change

    (2011)
  • S. Parasuraman et al.

    An examination of gender differences in the determinants of computer anxiety and attitudes towards microcomputers among managers

    International Journal of Man-Machine Studies

    (1990)
  • W.G. Qu et al.

    Multi-level framework of open source software adoption

    Journal of Business Research

    (2011)
  • B.S. Ragu-Nathan et al.

    A path analytic study of the effect of top management support for information systems performance

    Omega

    (2004)
  • B. Rolandsson et al.

    Open source in the firm opening up professional practices of software development

    Research Policy

    (2011)
  • A.H. Segars

    Assessing the unidimensionality of measurement a paradigm and illustration within the context of information systems research

    Omega

    (1997)
  • R. Sen et al.

    Open source software licenses strong-copyleft, non-copyleft, or somewhere in between?

    Decision Support Systems

    (2011)
  • Cited by (26)

    • Exploring the link between free and open source software and the collaborative economy: A Delphi-based scenario for the year 2025

      2021, Technological Forecasting and Social Change
      Citation Excerpt :

      There are several communities around the world that have their own time bank, among which two examples to be highlighted are it can Time-republik or TimeOverflow (Godelnik, 2017). FLOSS enables access to the system software regardless of associated price or cost (Gallego, Racero, Bueno and Noyes, 2015). Additionally, FLOSS is a movement focused on communities of users who do not belong to typical software development roles (Slee, 2016).

    • Sharing my way to success: A case study on developing entrepreneurial ventures using social capital in an OSS community

      2019, Information and Organization
      Citation Excerpt :

      OSS communities have been of interest among IS scholars for over two decades. Research has explored the structure of OSS communities (Daniel & Stewart, 2016; Grewal, Lilien, & Mallapragada, 2006), motivations for participation (Choi & Pruett, 2015; Ho and Rai, in press; Phang, Kankanhalli, & Tan, 2015; Roberts, Hann, & Slaughter, 2006; Spaeth, von Krogh, & He, 2014; Zhang, Anzalone, Faria, & Pearce, 2013), community performance (Daniel & Stewart, 2016; Grewal et al., 2006; Peng, Wan, & Woodlock, 2013), and adoption of OSS (Gallego, Bueno, Racero, & Noyes, 2015; Gwebu & Wang, 2011; Marsan, Pare, & Beaudry, 2012; Rossi, Russo, & Succi, 2012). To date, this research has found that OSS communities rival proprietary software in terms of quality (Benkler, Shaw, & Hill, 2013), leading researchers to focus on value creation in such communities as an alternative to firm-based value creation (Lee & Cole, 2003; Raymond, 1999).

    • From closed source to open source software: Analysis of the migration process to Open Office

      2017, Journal of High Technology Management Research
      Citation Excerpt :

      P3: Positive leadership of managers in favor of the use of Open Office is an antecedent to the adoption and use of same by their employees. The first proposition addresses the importance of task-technology fit associated with the implementation of Open Office (as also argued by D'Ambra, Wilson, & Akter, 2013); the second proposition tackles the effects of employees' training in the use of Open Office (as also set forth by Gallego et al., 2015); and, finally, the third proposition addresses the moderating role of leadership on the acceptance of Open Office (as also claimed by Ke & Wei, 2008). By adopting a joint factor-based and process-based approach, this article emphasizes that companies must not be viewed as a homogeneous set of employees in a process of migration from proprietary to open source software.

    • Women's Participation in Open Source Software: A Survey of the Literature

      2022, ACM Transactions on Software Engineering and Methodology
    • Open-Source Software Adoption Among University Students in Emerging Countries

      2022, Revista Iberoamericana de Tecnologias del Aprendizaje
    View all citing articles on Scopus
    1

    Tel.: +34 954349174.

    2

    Tel.: +44 (0) 117 928 8560.

    View full text