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2020 | OriginalPaper | Chapter

Effect of Social Graph Structure on the Utilization Rate in a Flat Organization

Authors : Rostislav Yavorskiy, Tamara Voznesenskaya, Ilya Samonenko

Published in: Analysis of Images, Social Networks and Texts

Publisher: Springer International Publishing

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Abstract

The goal of our research is to investigate how the communication structure of an organization affects its performance. In the paper, we study a simulation model of a self-organizing team conducting scientific research. The key parameter of the model is the social graph of the organization, which defines the team creation process. For this model, we formally define the average utilization rate of the group. Under some natural condition, the utilization rate is a function of the social graph. Lower and upper bounds of this characteristic are established. The obtained result has evident practical meaning and policy implications for organization management.

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Baykasoglu, A., Dereli, T., Daş, G.: Project team selection using fuzzy optimization approach. Cybern. Syst. 38, 155–185 (2007). https://doi.org/10.1080/01969720601139041CrossRefMATH

Brocco, M., Groh, G., Forster, F.: A meta model for team recommendations. In: Bolc, L., Makowski, M., Wierzbicki, A. (eds.) SocInfo 2010. LNCS, vol. 6430, pp. 35–50. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-16567-2_3CrossRef

Brown, J.M., Greenspan, S., Biddle, R.: Incident response teams in IT operations centers: the T-TOCs model of team functionality. Cogn. Technol. Work 18(4), 695–716 (2016). https://doi.org/10.1007/s10111-016-0374-2CrossRef

Feldman, D.C., Bolino, M.: Increasing skill utilization of expatriates. Hum. Resour. Manag. 39, 367–379 (2000). https://doi.org/10.1002/1099-050X(200024)39:43.0.CO;2-7CrossRef

Dickinson, T.L., McIntyre, R.M.: A conceptual framework for teamwork measurement. In: Brannick, M.T., Salas, E., Prince, C. (eds.) Team Performance Assessment and Measurement, pp. 31–56. Psychology Press, New York (1997)

Fares, R., Costaguta, R.: A multi-agent model that promotes team-role balance in computer supported collaborative learning. In: Cipolla-Ficarra, F., Veltman, K., Verber, D., Cipolla-Ficarra, M., Kammüller, F. (eds.) ADNTIIC 2011. LNCS, vol. 7547, pp. 85–91. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-34010-9_8CrossRef

Green, J.J., Krejci, C.C., Cantor, D.E.: A hybrid simulation model of helping behavior. In: 2017 Winter Simulation Conference (WSC), pp. 1619–1630, December 2017. https://doi.org/10.1109/WSC.2017.8247902

Hoda, R., Noble, J., Marshall, S.: Supporting self-organizing agile teams. In: Sillitti, A., Hazzan, O., Bache, E., Albaladejo, X. (eds.) XP 2011. LNBIP, vol. 77, pp. 73–87. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-20677-1_6CrossRef

Hurtado, N., Ruiz, M., Capitas, C., Orta, E.: Applying agent-based simulation to the improvement of agile software management. In: Mas, A., Mesquida, A., O’Connor, R.V., Rout, T., Dorling, A. (eds.) SPICE 2017. CCIS, vol. 770, pp. 173–186. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67383-7_13CrossRef

10.

Jana, R.K., Sanyal, M.K., Chakrabarti, S.: Binary fuzzy goal programming for effective utilization of IT professionals. In: Mandal, J., Satapathy, S., Sanyal, M., Bhateja, V. (eds.) Proceedings of the First International Conference on Intelligent Computing and Communication. AISC, vol. 458, pp. 395–405. Springer, Singapore (2017). https://doi.org/10.1007/978-981-10-2035-3_40

11.

Lappas, T., Liu, K., Terzi, E.: Finding a team of experts in social networks. In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2009, pp. 467–476. ACM, New York (2009). https://doi.org/10.1145/1557019.1557074

12.

Liu, H., et al.: A machine learning approach to combining individual strength and team features for team recommendation. In: 2014 13th International Conference on Machine Learning and Applications, pp. 213–218, December 2014. https://doi.org/10.1109/ICMLA.2014.39

13.

Moe, N.B., Dingsøyr, T., Dybå, T.: A teamwork model for understanding anagile team: a case study of a scrum project. Inf. Softw. Technol. 52(5), 480–491 (2010). https://doi.org/10.1016/j.infsof.2009.11.004. http://www.sciencedirect.com/science/article/pii/S0950584909002043CrossRef

14.

Schönig, S., Cabanillas, C., Di Ciccio, C., Jablonski, S., Mendling, J.: Mining team compositions for collaborative work in business processes. Softw. Syst. Model. 17(2), 675–693 (2018). https://doi.org/10.1007/s10270-016-0567-4CrossRef

15.

Ajmani, S., Satya Sai Prakash, K., Prasad, D.S.U.M.: Human resource utilization analysis and recommendations using software analytics. Lect. Notes Softw. Eng. 4(3), 184–188 (2016)

16.

Tarmazdi, H., Vivian, R., Szabo, C., Falkner, K., Falkner, N.: Using learning analytics to visualise computer science teamwork. In: Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education, pp. 165–170. ACM (2015)

17.

Tohidi, H., Namdari, A., Keyser, T.K., Drzymalski, J.: Information sharing systems and teamwork between sub-teams: a mathematical modeling perspective. J. Ind. Eng. Int. 13(4), 513–520 (2017). https://doi.org/10.1007/s40092-017-0199-5CrossRef

18.

Ventresque, A., Yong, J.T.T., Datta, A.: Impact of expertise, social cohesiveness and team repetition for academic team recommendation. In: Datta, A., Shulman, S., Zheng, B., Lin, S.-D., Sun, A., Lim, E.-P. (eds.) SocInfo 2011. LNCS, vol. 6984, pp. 296–299. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-24704-0_33CrossRef

19.

Voznesenskaya, T.V., Krasnov, F.V., Yavorsky, R.E., Chesnokova, P.V.: Modeling self-organizing teams in a research environment. Bus. Inf. 13, 7–17 (2019). https://doi.org/10.17323/1998-0663.2019.2.7.17CrossRef

Title: Effect of Social Graph Structure on the Utilization Rate in a Flat Organization
Authors: Rostislav Yavorskiy
Tamara Voznesenskaya
Ilya Samonenko
Publisher: Springer International Publishing
Book: Analysis of Images, Social Networks and Texts
Print ISBN: 978-3-030-39574-2

Electronic ISBN: 978-3-030-39575-9

Copyright Year: 2020
DOI: https://doi.org/10.1007/978-3-030-39575-9_22

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