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- P-ISSN1738-3110
- E-ISSN2093-7717
- SCOPUS, ESCI
ISSN : 1738-3110
Behavior-Structure-Evolution Evaluation Model(BSEM) for Open Source Software Service
Park, Hoon-Sung
Suh, Eung-Kyo
Abstract
Purpose - Open source software has high utilization in most of the server market. The utilization of open source software is a global trend. Particularly, Internet infrastructure and platform software open source software development has increased rapidly. Since 2003, the Korean government has published open source software promotion policies and a supply promotion policy. The dynamism of the open source software market, the lack of relevant expertise, and the market transformation due to reasons such as changes in the relevant technology occur slowly in relation to adoption. Therefore, this study proposes an assessment model of services provided in an open source software service company. In this study, the service level of open source software companies is classified into an enterprise-level assessment area, the service level assessment area, and service area. The assessment model is developed from an on-site driven evaluation index and proposed evaluation framework; the evaluation procedures and evaluation methods are used to achieve the research objective, involving an impartial evaluation model implemented after pilot testing and validation. Research Design, data, and methodology - This study adopted an iteration development model to accommodate various requirements, and presented and validated the assessment model to address the situation of the open source software service company. Phase 1 - Theoretical background and literature review Phase 2 - Research on an evaluation index based on the open source software service company Phase 3 - Index improvement through expert validation Phase 4 - Finalizing an evaluation model reflecting additional requirements Based on the open source software adoption case study and latest technology trends, we developed an open source software service concept definition and classification of public service activities for open source software service companies. We also presented open source software service company service level measures by developing a service level factor analysis assessment. The Behavior-Structure-Evolution Evaluation Model (BSEM) proposed in this study consisted of a rating methodology for calculating the level that can be granted through the assessment and evaluation of an enterprise-level data model. An open source software service company's service comprises the service area and service domain, while the technology acceptance model comprises the service area, technical domain, technical sub-domain, and open source software name. Finally, the evaluation index comprises the evaluation group, category, and items. Results - Utilization of an open source software service level evaluation model For the development of an open source software service level evaluation model, common service providers need to standardize the quality of the service, so that surveys and expert workshops performed in open source software service companies can establish the evaluation criteria according to their qualitative differences. Conclusion - Based on this evaluation model's systematic evaluation process and monitoring, an open source software service adoption company can acquire reliable information for open source software adoption. Inducing the growth of open source software service companies will facilitate the development of the open source software industry.
- keywords
- Open-Source Software(OSS), BSEM(Behavior-Structure-Evolution Evaluation Model), Evaluation Model, Open-Source Software Company, OSS Service Level
Reference
Bwired Corporation (2009). 2009 White Paper of Bwired.com. Open Source vs. Closed Source (Propriety) Software. Retrieved December 10, 2014, from http://www.bwired.com.au/index.php?action=filemanager&do c_form_name=download&folder_id=774&doc_id=3671
Cronin, J. Joseph, Jr., & Taylor, S. A. (1992). Measuring Service Quality: A Reexamination and Extension. Journal of Marketing, 56(3), 55-68.
Duijnhouwer, F. W., & Widdows, C. (2003). Open Source Maturity Model. Cap Gemini Expert Letter, Retrieved December 2, 2014, from http://kb.cospa-project.org/retrieve/1097/GB_Expert_Letter_Open_Source_Maturity_Model_1.5.31.pdf
Golden, Bernard (2004). Succeeding with Open Source (1st ed). New York, NY: Addison-Wesley.
Gronroos, G. (1984). A Service-oriented Approach to Marketing of Service. European Journal of Marketing, 12, 588-601.
Jiang, J. J., Klein, G., Parolia, N., & Li, Y. (2012). An Analysis of Three SERVQUAL Variations in Measuring Information System Service Quality. The Electronic Journal Information System Evaluation, 15(2), 149-162.
Jones, M. A., Mothersbaugh, D. L., and Beatty, S. E. (2002). Why customers stay: measuring the underlying dimensions of services switching costs and managing their differential strategic outcomes. Journal of Business Research, 55(6), 441-450.
Kettinger, W. J., & Lee, C. C. (1994). Perceived Service Quality and User satisfaction with the Information Services Function. Decision Sciences, 25(5/6), 737-766.
Kettinger, W. J., & Lee, C. C. (1997). Pragmatic Perspectives on the Measurement of Information Systems Service Quality. MIS Quarterly. 21(2), 223-240.
Kettinger, W. J., & Lee, C. C. (2005). Zones of Tolerance:Alternative Scales for Measuring Information Systems Service Quality. MIS Quarterly, 29(4), 607-621.
Kwon, M. J., Kim, T. W., & Kim, M. H. (2008). An exploratory study into Open Source Software Adoption and Resistance Factors. Information Policy, 15(4), 3-21.
Lee, S. C., Ahn, S. H., & Park, H. S., (2010). Boosting Software development using Open Source Software:Online Market Mediator View. Proceedings of the Second International Conference of KODISA (79-100). Seoul, Korea: KODISA.
Lee, S. C., Suh, E. K., Ahn, S. H., and Park, H. S., (2013). A Study on the necessity of Open Source Software Intermediaries in the Software Distribution Channel. Journal of Distribution Science, 11(2), 45-55.
Lewis, R. C., & Booms, H. (1983). The Marketing of Service Quality Emerging Perspectives on Service Marketing (1st ed.). Berry, L., Shostack, G., and Upah, G., AMA, Chicago, 99-107.
Lundell, B., Lings, B., & Lindqvist, E. (2006). Perceptions and Uptake of Open Source in Swedish Organizations. in E. Damiani, B. Fitzgerald, W. Scacchi, M. Scotto, G. Succi (2nd ed.), IFIP International Federation for Information Processing, Open Source Systems (p. 203, &pp.155-163). Boston, MA: Springer.
Malheiros, Viviane, Hohn, Erika, & Maldonado, Jose Carlos. (2009). Qualipso Project: Quality Recommendations for FLOSS development processes: A perspective based on trustworthy elements, Retrieved December 5, 2015, China from http://www.icmc.usp.br /CMS/Arquivos/arquivos_enviados/ BIBLIOTECA_113_RT_335.pdf
MITRE Corporation (2004). Use of Free and Open-Source Software (FOSS) in the U.S. Department of Defense. US. Retrieved December 4, 2014, from http://dodcio.defense.gov/Portals/0/Documents/FOSS/dodfo ss_pdf.pdf
National Information Society Agency (2009). Performance Reference Model 2.0. Seoul: National Information Society Agency.
National IT Industry Promotion Agency (2003). A guideline for adoption of Open Source Software. Seoul: National IT Industry Promotion Agency.
Parasuraman, A., Zeithaml, V. A., & Berry L. L. (1994). Reassessment of Expectation as a Comparison Standard in Measuring service Quality: Implications for Further Research. Journal of Marketing, 58, January, 112-124.
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A Conceptual Model of Service Quality and Its Implications for Future Research. Journal of Marketing, 49, Fall, pp.41-50
Parasuraman, A., Zeithaml, V. A. & Berry, L. L. (1988). SERVQUAL: A Multiple-Item Scale for Measuring Consumer Perception a of service quality. Journal of Retailing, 64(1), Spring, 12-40.
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1991). Refinement and reassessment of the SERVQUAL scale. Journal of Retailing, 67(4), 420-450.
Rashid, Tariq. (2011). Open Source Software for Government Assessment Model. 2011 Report of ComputerWeekly.com. Retrived February, 2, 2011, from http://www.computerweekly.com/blogs/public-sector/2011/02/24/Open_Source_for_Govt_Assessment_Model_v0.1.pdf
Raza, Arif (2011). A Usability Maturity Model for Open Source Software. Ph.D. diss., University of Western Ontario.
St. Amant, Kirk, and Still, Brian (2007). Handbook of Research on Open Source Software: Technological, Economic, and Social Perspectives. Hershey, NY: Information Science Reference, 197-210.
Teas, R. Kenneth (1993). Expectations Performance Evaluation, and Consumers’ Perceptions of Quality. Journal of Marketing, October, 18-34.
Telecommunications Technology Association (2011). Open Source Software Categorization and Profile. Telecommunications Technology Association Standare – TTAK.KO-11.0110, Retrieved November 15, 2014, from http://www.tta.or.kr/data/ttas_view.jsp ?rn=1&pk_num=TTAK.KO-11.0110
Van Dyke, T. P., Kappelman, L. A., & Prybutok, V. R. (1997). Measuring Information Systems Service Quality:Concerns on the Use of the SERVQUAL Questionnaire. MIS Quarterly, 21(2), 195-208.
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