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Управленческое консультирование

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Концептуальные и математические модели, методы и технологии исследования цифровой трансформации экономических и социальных систем: обзор предметного поля (часть II)

https://doi.org/10.22394/1726-1139-2021-12-111-125

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Аннотация

Представлены результаты обзора предметного поля по исследованиям цифровой трансформации экономических и социальных систем (часть II). Во второй части выполнен обзор и обоснованы основные теоретические средства, которые могут стать основой для разработки «деятельностной парадигмы» исследований.

Об авторах

А. С. Гейда
Российская академия народного хозяйства и государственной службы при Президенте Российской Федерации (Северо-Западный институт управления РАНХиГС); Санкт-Петербургский Федеральный исследовательский центр, Российская академия наук
Россия

Гейда Александр Сергеевич - доцент кафедры бизнес-информатики Северо-Западного института управления РАНХиГС, кандидат технических наук, доцент, старший научный сотрудник Санкт-Петербургского Федерального ИЦ РАН.

Санкт-Петербург



Т. Н. Гурьева
Российская академия народного хозяйства и государственной службы при Президенте Российской Федерации (Северо-Западный институт управления РАНХиГС)
Россия

Гурьева Татьяна Николаевна - доцент кафедры бизнес-информатики Северо-Западного института управления РАНХиГС, кандидат технических наук, доцент.

Санкт-Петербург



В. Н. Наумов
Российская академия народного хозяйства и государственной службы при Президенте Российской Федерации (Северо-Западный институт управления РАНХиГС)
Россия

Наумов Владимир Николаевич, заведующий кафедрой бизнес-информатики Северо-Западного института управления РАНХиГС, доктор военных наук, кандидат технических наук, профессор.

Санкт-Петербург



Список литературы

1. Karanasios S. Framing ICT4D Research Using Activity Theory: A Match between the ICT4D Field and Theory? // Information Technologies & International Development. 2014. Vol. 10. N 2. P. 1–17.

2. Barthelmess P. A View of Software Development Environments Based on Activity Theory / P. Barthelmess, K. M. Anderson // Computer Supported Cooperative Work (CSCW). 2002. Vol. 11. N 1–2. P. 13–37.

3. Theories Used in Information Systems Research: Identifying Theory Networks in Leading IS Journals / Sanghee Lim, T. Saldanha, Suresh Malladi, Nigel P. Melville : ICIS, 2009.

4. Lai P. C. The literature review of technology adoption models and theories for the novelty technology // Journal of Information Systems and Technology Management. 2017. 14(1):21–38.

5. Uncovering the Intellectual Core of the Information Systems Discipline / Sidorova, Evangelopoulos, Valacich, Ramakrishnan // MIS Quarterly. 2008. Vol. 32. N 3. P. 467.

6. Cheung R. Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning / R. Cheung, D. Vogel // Computers & Education. 2013. Vol. 63. N 2. P. 160–175.

7. Predicting the acceptance of MOOCs in a developing country: Application of task-technology fit model, social motivation, and self-determination theory / I. U. Khan, Z. Hameed, Y. Yu at al. // Telematics and Informatics. 2018. Vol. 35. N 4. P. 964–978.

8. Ma Q. The Technology Acceptance Model / Q. Ma, L. Liu // Advanced Topics in End User Computing, Volume 4 / ed. S. Clarke M. A. Mahmood : IGI Global, 2005. P. 112–128.

9. Marangunić N. Technology acceptance model: a literature review from 1986 to 2013 / N. Marangunić, A. Granić // Universal Access in the Information Society. 2015. Vol. 14, N 1. P. 81–95.

10. Urbach N. The Updated DeLone and McLean Model of Information Systems Success / N. Urbach, B. Müller // Information Systems Theory / ed. Y. K. Dwivedi, M. R. Wade, S. L. Schneberger. New York : Springer New York, 2012. P. 1–18.

11. Thomas M. Assessing the role of IT-enabled process virtualization on green IT adoption / M. Thomas, D. Costa, T. Oliveira // Information Systems Frontiers. 2016. Vol. 18, N 4. P. 693– 710.

12. Patel N. V. The Theory of Deferred Action: Purposive Design as Deferred Systems for Emergent Organisations // Information Systems Theory / ed. Y. K. Dwivedi, M. R. Wade, S. L. Schneberger. New York : Springer New York, 2012. P. 125–149.

13. Kor Y. Y. Edith Penrose’s (1959) Contributions to the Resource-based View of Strategic Management / Y. Y. Kor, J. T. Mahoney // Journal of Management Studies. 2004. Vol. 41. N 1. P. 183–191.

14. Dong J. Q. Business value of big data analytics: A systems-theoretic approach and empirical test / J. Q. Dong, C.-H. Yang // Information & Management. 2020. Vol. 57. N 1. P. 103–124.

15. Sustainability as a dynamic organizational capability: a systematic review and a future agenda toward a sustainable transition / L. B. L. Amui, C. J. C. Jabbour, A. B. L. de Sousa Jabbour, D. Kannan // Journal of Cleaner Production. 2017. Vol. 142. N 6. P. 308–322.

16. Parida V. Reviewing Literature on Digitalization, Business Model Innovation, and Sustainable Industry: Past Achievements and Future Promises / V. Parida, D. Sjodin, W. Reim // Sustainability. 2019. Vol. 11. N 2. P. 391.

17. Briggs R. O. The yield shift theory of satisfaction and its application to the IS/IT domain / R. O. Briggs, B. A. Reinig, G. J. de Vreede // Journal of the Association for Information Systems. 2008. Vol. 9. N 5. P. 267–293.

18. Ajzen I. The theory of planned behaviour: reactions and reflections // Psychology & health. 2011. Vol. 26. N 9. P. 1113–1127.

19. Digital Innovation Management: Reinventing Innovation Management Research in a Digital World / S. Nambisan, K. Lyytinen, A. Majchrzak, M. Song // MIS Quarterly. 2017. Vol. 41. N 1. P. 223–238.

20. Karanasios S. Toward a unified view of technology and activity // Information Technology & People. 2018. Vol. 31. N 1. P. 134–155.

21. Sannino A. Cultural-historical activity theory: founding insights and new challenges / A. Sannino, Y. Engeström // Cultural-Historical Psychology. 2018. Vol. 14. N 3. P. 43–56.

22. Fredkin E. An Introduction to Digital Philosophy // International Journal of Theoretical Physics. 2003. Vol. 42. N 2. P. 189–247.

23. Aslaksen E. W. The System Concept and Its Application to Engineering. Berlin, Heidelberg : Springer Berlin Heidelberg, 2013.

24. Igira F. T. Cultural Historical Activity Theory / F. T. Igira, J. Gregory // Handbook of Research on Contemporary Theoretical Models in Information Systems / ed. Y. K. Dwivedi, B. Lal, M. D. Williams, S. L. Schneberger. M. Wade : IGI Global, 2009. P. 434–454.

25. Allen D. Working with activity theory: Context, technology, and information behavior / D. Allen, S. Karanasios, M. Slavova // Journal of the American Society for Information Science and Technology. 2011. Vol. 62. N 4. P. 776–788.

26. Challenges for Action Theories / G. Goos, J. Hartmanis, J. van Leeuwen, M. Thielscher. Berlin, Heidelberg : Springer Berlin Heidelberg, 2000.

27. Piovesan F. Reflections on combining action research and actor-network theory // Action Research. 2020. Vol. 3. N 2. 147675032091916.

28. Dick B. Theory in action research / B. Dick, E. Stringer, C. Huxham // Action Research. 2009. Vol. 7. N 1. P. 5–12.

29. Gustavsen B. Action research, practical challenges and the formation of theory // Action Research. 2008. Vol. 6. N 4. P. 421–437.

30. Staron M. Action Research in Software Engineering. Cham : Springer International Publishing, 2020.

31. Lozovanu D. D. Optimization and multiobjective control of time-discrete systems / D. D. Lozovanu, S. Pickl. Berlin : Springer, 2009.

32. Reiter R. Knowledge in action. Cambridge, Mass. : MIT Press, 2001.

33. Lizotte D. J. Multi-Objective Markov Decision Processes for Data-Driven Decision Support / D. J. Lizotte, E. B. Laber // Journal of machine learning research. 2016. Vol. 17.

34. Complex decisions made simple: a primer on stochastic dynamic programming / L. Marescot, G. Chapron, I. Chadès at al. // Methods in Ecology and Evolution. 2013. Vol. 4. N 9. P. 872–884.

35. Hinderer K. Dynamic optimization / K. Hinderer, U. Rieder, M. Stieglitz. Cham, Switzerland : Springer, 2016.

36. Dynamics on and of complex networks III / F. Ghanbarnejad, R. Saha Roy, F. Karimi at al. Cham, Switzerland : Springer, 2019.

37. Barrat A. Dynamical Processes on Complex Networks / A. Barrat, M. Barthlemy, A. Vespignani. Leiden : Cambridge University Press, 2008. 367 p.

38. Fu X. Propagation dynamics on complex networks / X. Fu, M. Small, G. Chen. Chichester : Wiley / Higher Education Press, 2014.

39. Quax R. SEECN: simulating complex systems using dynamic complex networks / R. Quax, D. A. Bader, P.M. A. Sloot // International Journal for Multiscale Computational Engineering. 2011. Vol. 9. N 2. P. 201–214.

40. Zinilli A. Competitive project funding and dynamic complex networks: evidence from Projects of National Interest (PRIN) // Scientometrics. 2016. Vol. 108. N 2. P. 633–652.

41. Rashid A. Dynamic Relationships in Object Oriented Databases: A Uniform Approach / A. Rashid, P. Sawyer // Database and Expert Systems Applications / ed. G. Goos, J. Hartmanis at al. Berlin, Heidelberg : Springer Berlin Heidelberg, 1999. P. 26–35.

42. Abu el Ata N. Solving the Dynamic Complexity Dilemma / N. Abu el Ata, M. J. Perks. Berlin, Heidelberg : Springer Berlin Heidelberg, 2014.

43. Grösser S. N. Complexity Management and System Dynamics Thinking // Dynamics of LongLife Assets: From Technology Adaptation to Upgrading the Business Model / ed. S. N. Grösser, A. Reyes-Lecuona, G. Granholm. Cham : Springer International Publishing, 2017. P. 69–92.

44. Geyda A. Modeling of Information Operations Effects: Technological Systems Example / A. Geyda, I. Lysenko // Future Internet. 2019. Vol. 11. N 3. P. 62.

45. Gonzalez C. Dynamic Decision Making: Learning Processes and New Research Directions / C. Gonzalez, P. Fakhari, J. Busemeyer // Human factors. 2017. Vol. 59. N 5. P. 713–721.

46. Chen G. Fundamentals ofcomplex networks / G. Chen, X. Wang, X. Li. Chichester : WileyBlackwell, 2015.

47. Nestedness in complex networks: Observation, emergence, and implications / M. S. Mariani, Z.-M. Ren, J. Bascompte, C. J. Tessone // Physics Reports. 2019. Vol. 813. N 1. P. 1–90.

48. Synchronization on complex networks of networks / R. Lu, W. Yu, J. Lu, A. Xue // IEEE transactions on neural networks and learning systems. 2014. Vol. 25. N 11. P. 2110–2118.

49. Engeström, Y. From mediated actions to heterogenous coalitions: four generations of activitytheoretical studies of work and learning / Y. Engeström, A. Sannino // Mind, Culture, and Activity. 2021. Vol. 28. N 1. P. 4–23.

50. Stichweh R. Systems Theory as an Alternative to Action Theory? The Rise of ’Communication’ as a Theoretical Option // Acta Sociologica. 2000. Vol. 43. N 1. P. 5–13.

51. Patel N. V. Deferred Action: Theoretical Model of Process Architecture Design for Emergent Business Processes / N. V. Patel, R. Simons. 2011. 29 c.

52. Малинецкий Г. Г., Потапов А. Б., Подлазов А. В. Нелинейная динамика: Подходы, результаты, надежды. URSS, 2016. 280 c.

53. Jung N. The Role of Process Engineering in the Digital Transformation // 30th European Symposium on Computer Aided Process Engineering. Elsevier, 2020. P. 721–726.

54. Transforming systems engineering through digital engineering / M. A. Bone, M. R. Blackburn, D. H. Rhodes at all. // The Journal of Defense Modeling and Simulation: Applications, Methodology, Tech nology. 2019. Vol. 16. N 4. P. 339–355.

55. Digitization Driven Design A Guideline to Initialize Digital Business Model Creation / T. Greff, C. Neu, D. Johann, D. Werth // Business Modeling and Software Design / ed. B. Shishkov. Cham : Springer International Publishing, 2018. P. 308–318.

56. Kitchenham B. A systematic review of systematic review process research in software engineering / B. Kitchenham, P. Brereton // Information and Software Technology. 2013. Vol. 55. N 12. P. 2049–2075.

57. Walczowski L. T. A Digital Engineering Curriculum for the New Millennium / L. T. Walczowski, K. R. Dimond, W.A. J. Waller // The International Journal of Electrical Engineering & Education. 2000. Vol. 37. N 1. P. 108–117.

58. Digital engineering strategy // Department of Defense Office report of the Deputy Assistant Secretary, JUNE 2018. P. 1–36.

59. Abouzahra A. Model composition in Model Driven Engineering: A systematic literature review / A. Abouzahra, A. Sabraoui, K. Afdel // Information and Software Technology. 2020. Vol. 125. N 12. P. 106316.

60. Marletto C. Constructor theory of probability / C. Marletto // Proceedings. Mathematical, physical, and engineering sciences. 2016. Vol. 472. N 2192. Article: 20150883.

61. Deutsch D. Constructor theory // Synthese. 2013. Vol. 190. N 18. P. 4331–4359.


Рецензия

Для цитирования:


Гейда А.С., Гурьева Т.Н., Наумов В.Н. Концептуальные и математические модели, методы и технологии исследования цифровой трансформации экономических и социальных систем: обзор предметного поля (часть II). Управленческое консультирование. 2021;(12):111-125. https://doi.org/10.22394/1726-1139-2021-12-111-125

For citation:


Geyda A.S., Gurieva T.N., Naumov V.N. Conceptual and Mathematical Models, Methods, and Technologies for the Study of the Digital Transformation of Economic and Social Systems: A Literature Review and Research Agenda (Part II). Administrative Consulting. 2021;(12):111-125. (In Russ.) https://doi.org/10.22394/1726-1139-2021-12-111-125

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ISSN 1726-1139 (Print)
ISSN 1816-8590 (Online)