مؤلفه‌های پژوهش علم طراحی برای محصولات مبتنی بر فناوری اطلاعات: مروری نظام‌مند با رویکرد فراترکیب

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری مدیریت فناوری اطلاعات، دانشکده مدیریت و اقتصاد، دانشگاه تربیت مدرس، تهران، ایران

2 استاد، گروه مدیریت، دانشگاه ولیعصر (عج)، رفسنجان، ایران

3 استاد گروه مدیریت فناوری اطلاعات، دانشگاه تربیت مدرس، تهران، ایران.

4 استاد گروه مدیریت صنعتی، دانشگاه تربیت مدرس، تهران، ایران.

10.22034/jstp.2024.11616.1760

چکیده

هدف اصلی این تحقیق، ارائه مولفه‌‌های جامع برای مراحل طراحی محصولات مبتنی بر فناوری اطلاعات با بهره‌گیری از روش تحقیق علم طراحی است. این پژوهش از نظر هدف کاربردی و از نظر گردآوری اطلاعات به‌صورت فراترکیب است. با جست‌وجو در پایگاه‌های داده معتبر وب آوساینس و اسکوپوس، 24 مقاله که بین سال‌های 2019 تا 2024 منتشر شده بودند، به‌عنوان منابع معتبر شناسایی و تحلیل شدند. بررسی مقالات منتخب منجر به شناسایی چهار مولفه اصلی شد: ۱) روش‌های تحقیق علم طراحی: شامل روش‌های مدل چرخه‌‌ای هونر، مدل فرآیندی، روش‌ اقدام‌پژوهی و اقدام پژوهی تفصیلی که در توسعه و ارزیابی محصولات به‌کار می‌روند. ۲) مصنوعات: شامل مدل‌ها، نرم‌افزارها، و نظریه‌های طراحی که به‌عنوان خروجی‌های تحقیق تولید می‌شوند. ۳) روش‌های ارزیابی: شامل روش‌های کمی و کیفی مانند تست‌های کاربردی و مصاحبه‌ها که برای ارزیابی اثربخشی مصنوعات استفاده می‌شوند. ۴) ابزارها: شامل نرم‌افزارهای تحلیل داده‌ها و ابزارهای مدل‌سازی که در فرآیند تحقیق به‌کار می‌روند. روش تحقیق علم طراحی، با توجه به جامعیت و انعطاف‌پذیری‌، ابزار مؤثری برای طراحی مصنوعات فناوری اطلاعات است. این پژوهش با ارائه یک الگوی یکپارچه برای انتخاب و استفاده از روش‌ها و ابزارهای مناسب، به پژوهشگران و متخصصان کمک می‌کند تا کیفیت و کارایی فرآیندهای طراحی را بهبود بخشیده و نوآوری را در توسعه محصولات فناوری اطلاعات ترویج دهند. تحقیق حاضر نشان می‌دهد که نیاز به توجه بیشتری به توسعه نظریه‌ها و ابزارهای نوآورانه برای ارزیابی مصنوعات فناوری اطلاعات وجود دارد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

The Components of Design Science Research for IT-based Products: A Systematic Review with Meta-Synthesis Approach

نویسندگان [English]

  • elaheh baghani 1
  • shaban elahi 2
  • alireza hasanzadeh 3
  • Ali Rajabzadeh Ghatari 4
1 Ph.D. Candidate, Department of Information Technology Management, Tarbiat Modares University, Tehran, Iran
2 Professor, Department of Management, Vali-e-Asr University, Rafsanjan, Iran
3 Professor, Department of Information Technology Management, Tarbiat Modares University, Tehran, Iran
4 Professor, Department of Industrial Management, Tarbiat Modarres University, Tehran, Iran.
چکیده [English]

Design Science Research (DSR) has become one of the key methodologies in information technology research due to its ability to bridge practical and theoretical gaps. Given the increasing importance of developing IT-based products, especially with the emergence of AI-driven products in recent years, this study aims to identify the key components of using DSR in the design of IT artifacts. The primary objective of this research is to provide comprehensive components for the stages of designing IT-based products using DSR.This research is applied in terms of its purpose and employs a meta-synthesis approach for data collection. By searching reputable databases such as Web of Science and Scopus, 24 articles published between 2019 and 2024 were identified and analyzed as credible sources.The review of selected articles led to the identification of four main components: 1) Design Science Research Methods: including methods such as the Hevner Cycle Model, Process Model, and Action Research Methods used in the development and evaluation of products. 2) Artifacts: including models, software, and design theories produced as research outputs. 3) Evaluation Methods: including quantitative and qualitative methods such as usability tests and interviews used to assess the effectiveness of artifacts. 4) Tools: including data analysis software and modeling tools employed in the research process. DSR, due to its comprehensiveness and flexibility, is an effective tool for designing IT artifacts. This study provides an integrated framework for selecting and using appropriate methods and tools, helping researchers and professionals to improve the quality and efficiency of design processes and promote innovation in the development of IT products. Furthermore, this study highlights the need for more attention to the development of innovative theories and tools for evaluating IT artifacts.

کلیدواژه‌ها [English]

  • Design Science
  • Design Cycles
  • Design Methodology
  • IT-based Products
 [1] Lee, A., Thomas, M., & Baskerville, R. (2014). Going back to basics in design science: From the information technology artifact to the information systems artifact. Information Systems Journal, 25. https://doi.org/10.1111/isj.12054
[2] Iivari, J., Hevner, A., & Chatterjee, S. (2010). Twelve Theses on Design Science Research in Information Systems. Springer (Vol. 22, pp. 43-62). https://doi.org/10.1007/978-1-4419-5653-8_5
 [3] Peffers, K., Rothenberger, M., Tuunanen, T., & Vaezi, R. (2012). Design Science Research Evaluation.Springer (Vol. 7286). https://doi.org/10.1007/978-3-642-29863-9_29
[4] Vaishnavi, V., & Kuechler, W. (2007). Design Science Research Methods and Patterns: Innovating Information and Communication Technology. Innovating Information and Communication Technology, (pp. 226). https://doi.org/10.1201/9781420059335 
[5] Offermann, P., Levina, O., Schönherr, M., & Bub, U. (2009). Outline of a design science research process.ACM https://doi.org/10.1145/1555619.1555629
[6] Vaishnavi, V., & Kuechler, B. (2004). Design Science Research in Information Systems. Association for Information Systems.
[7] March, S., & Smith, G. (1995). Design and Natural Science Research on Information Technology. Decision Support Systems, 15, 251-266. https://doi.org/10.1016/0167-9236(94)00041-2
[8] Takeda, H., Veerkamp, P., & Yoshikawa, H. (1990). Modeling Design Process. AI Magazine, 11(4), 37. https://doi.org/10.1609/aimag.v11i4.855
[9] Peffers, K., Tuunanen, T., Rothenberger, M., & Chatterjee, S. (2007). A design science research methodology for information systems research. Journal of Management Information Systems, 24, 45-77. https://doi.org/10.2753/MIS0742-1222240302
 [10] Gregor, S., & Hevner, A. (2013). Positioning and Presenting Design Science Research for Maximum Impact. MIS Quarterly, 37, 337-356. https://doi.org/10.25300/MISQ/2013/37.2.01
 [11] Baskerville, R., Baiyere, A., Gregor, S., Hevner, A., & Rossi, M. (2018). Design Science Research Contributions: Finding a Balance between Artifact and Theory. Journal of the Association for Information Systems,19,358-376. https://doi.org/10.17705/1jais.00495
[12] Leoz, G., & Petter, S. (2018). Considering the social impacts of artefacts in information systems design science research. European Journal of InformationSystems,27,1-17. https://doi.org/10.1080/0960085X.2018.1445462
[13] Niederman, F., & March, S. (2012). Design science and the accumulation of knowledge in the information systems discipline. ACM Transactions on Management Information Systems (TMIS), 3. https://doi.org/10.1145/2151163.2151164
[14] Kuechler, W., & Vaishnavi, V. (2008). On theory development in design science research: anatomy of a research project. EJIS, 17, 489-504. https://doi.org/10.1057/ejis.2008.40
[15] Kayanda, A., Busagala, L., Oyelere, S., & Tedre, M. (2022). The use of Design Science and Agile Methodologies for improved information systems in the T anzanian Higher Education context. THE ELECTRONIC JOURNAL OF INFORMATION SYSTEMS IN DEVELOPING COUNTRIES, 89. https://doi.org/10.1002/isd2.12241
[16] Brendel, A., Lichtenberg, S., Morana, S., Prinz, C., & Hillmann, B. (2022). Designing a Crowd-Based Relocation System—The Case of Car-Sharing. Sustainability,14,7090. https://doi.org/10.3390/su14127090
[17] Costa, E., Soares, A., & Pinho de Sousa, J. (2020). Industrial business associations improving the internationalisation of SMEs with digital platforms: A design science research approach. International Journal of Information Management, 53, 102070. https://doi.org/10.1016/j.ijinfomgt.2020.102070
[18]Yu, B., & Vahidov, R. (2019). Applying Social Interaction Theory to Negotiation Modeling: Design of E-negotiation System. Information Systems Frontiers, 21(3), 703-718. https://doi.org/10.1007/s10796-017-9772-0
[19] Wu, S. (2021). Design science research approach in studying e-negotiations: models, systems, experiments. Control and Cybernetics, 50, 33-50. https://doi.org/10.2478/candc-2021-0003 
[20] Jouan, P., & Hallot, P. (2022). Toward cultural significance awareness in HIS: a data model approach. Journal of Cultural Heritage Management and Sustainable Development, 14. https://doi.org/10.1108/JCHMSD-08-2021-0154
[21] Zhang, Y., Wang, J., Ahmad, D. R., & Li, X. (2021). Integrating Lean Production Strategies, Virtual Reality Technique, and Building Information Modelling Method for Mass Customization in Cabinet Manufacturing. Engineering Construction & Architectural Management, ahead-of-print. https://doi.org/10.1108/ECAM-11-2020-0955
[22] Jia, Y., Ge, S., Liang, H., Wang, N., Wang, Z., & Shu, J. (2022). Incorporating Use History in Information System Remodularization. IEEE Transactions on Engineering Management, PP, 1-15. https://doi.org/10.1109/TEM.2022.3160069
[23] Hill, R., Carpenter, V., & Montasari, R. (2019). A road map for digital forensics research: a novel approach for establishing the design science research process in digital forensics. International Journal of Electronic Security and Digital Forensics, 11, 194. https://doi.org/10.1504/IJESDF.2019.10018777
 [24] Liu, J., Wang, C., & Xiao, X. (2021). Design and Application of Science and Technology Project Management Information System for Educational Institutes. Mobile Information Systems, 2021, 1-10. https://doi.org/10.1155/2021/2074495
[25] Leyerer, M., Sonneberg, M.-O., Heumann, M., Kammann, T., & Breitner, M. H. (2019). Individually Optimized Commercial Road Transport: A Decision Support System for Customizable Routing Problems. Sustainability, 11(20). https://doi.org/10.3390/su11205544
[26] Uysal, M. P. (2022). Machine learning-enabled healthcare information systems in view of Industrial Information Integration Engineering. Journal of Industrial Information Integration, 30, 100382. https://doi.org/10.10/16/j.jii.2022.100382
[27] Lins, S., & Sunyaev, A. (2022). Advancing the presentation of IS certifications: theory-driven guidelines for designing peripheral cues to increase users’ trust perceptions. Behaviour & Information Technology,42,124.
[28] Hlongwane, S., & Grobbelaar, S. S. (2022). A Practical Framework for Value Creation in Health Information Systems From an Ecosystem Perspective: Evaluated in the South African Context [Original Research]. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.637883
[29] Vössing, M., Kühl, N., Lind, M., & Satzger, G. (2022). Designing Transparency for Effective Human-AI Collaboration. Information Systems Frontiers, 24, 877 - 895.
[30] Polizzi, S., & Scannella, E. (2022). Continuous auditing in public sector and central banks: a framework to tackle implementation challenges. Journal of Financial Regulation and Compliance, 31. https://doi.org/10.1108/JFRC-02-2022-0011
[31] Zampou, E., Mourtos, I., Pramatari, K., & Seidel, S. (2021). A Design Theory for Energy and Carbon Management Systems in the Supply Chain. Journal of the Association for Information Systems. https://doi.org/10.17705/1jais.00725
[32]Xu, H. (2020). Minimizing the ripple effect caused by operational risks in a make-to-order supply chain. International Journal of Physical Distribution & Logistics Management, ahead-of-print. https://doi.org/10.1108/IJPDLM-06-2018-0213
[33] Ginige, T., Richards, D., Ginige, A., & Hitchens, M. (2020). Design for Empowerment: Empowering Sri Lankan Farmers through Mobile-based Information System. Communications of the Association for InformationSystems, 444-483. https://doi.org/10.17705/1CAIS
[34] Vorraber, W., & Müller, M. (2019). A Networked Analysis and Engineering Framework for New Business Models. Sustainability, 11. https://doi.org/10.3390/su11216018
[35] Wouda, H., & Opdenakker, R. (2019). Blockchain technology in commercial real estate transactions. Journal of Property Investment & Finance, ahead-of-print. https://doi.org/10.1108/JPIF-06-2019-0085
[36] Hevner, A., & Gregor, S. (2020). Envisioning entrepreneurship and digital innovation through a design science research lens: A matrix approach. Information & Management, 59, 103350. https://doi.org/10.1016/j.im.2020.103350  
[37] Hevner, A., & Storey, V. (2022). Research Challenges for the Design of Human-Artificial Intelligence Systems (HAIS). ACM Transactions on Management Information Systems, 14. https://doi.org/10.1145/3549547
[38] Storey, V., Hevner, A., & Yoon, V. (2024). The design of human-artificial intelligence systems in decision sciences: A look Back and directions forward. Decision Support Systems, 182, 114230. https://doi.org/10.1016/j.dss.2024.114230
[39] Elahi, Sh., Rashidi Rad, M., & Hassanzadeh, A. (2009). Key issues in the field of information systems management of Iranian organizations and factors affecting them. Science and Technology Policy, 1(4), 21-37. .{In Persian} https://jstp.nrisp.ac.ir/article_12764.html
 [40] Hassanzadeh, A., Hajipour Sardoui, M., & Elahi, Sh. (2009). Designing and explaining the adaptive model of information technology management for the country's government organizations. Science and Technology Policy, 2(3), 33- 45.{In Persian}.
https://jstp.nrisp.ac.ir/article_12787.htmlhttps://jstp.nrisp.ac.ir/article_12764.html