Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Cover of the book

2018 | OriginalPaper | Chapter

1. The Agile Way

Author : Sergey V. Zykov

Published in: Managing Software Crisis: A Smart Way to Enterprise Agility

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This chapter gives an overview of the concept of enterprise agility and how this gives organizations more flexibility. This includes an in-depth evaluation of modern enterprises and a few case studies on how organizations failed to adopt agile principles which led to disastrous consequences, and ways to avoid their mistakes based on the research in this field. Another key area of this chapter deals with crisis resistant strategies and their links to enterprise architectures. Discussion of mission-critical systems is included in this chapter to allow further understanding of how to increase scalability and avoid potential design errors. Case studies in the bridge construction sector illustrate crisis management and agility improvement. The chapter also focuses on digital art integrity and blockchain technology application to secure voting. The other areas we discuss include decentralized applications and human-related sentiment analysis.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
next chapter Agile Languages
Literature
1.
2.
3.
Nagel, R. (1991). 21st century manufacturing enterprise strategy: An industry-led view. Diane Pub Co.
4.
Sambamurthy, V., Bharadwaj, A., & Grover, V. (2003). Shaping agility through digital options: Reconceptualizing the role of information technology in contemporary firms, MIS Quarterly, 27(2).CrossRef
5.
Lu, Y., & Ramamurthy, K. (2011) Understanding the link between information technology capability and organizational agility: An empirical examination. Management Information Systems Quarterly, 931–954.CrossRef
6.
7.
van Oosterhout, J., Heugens, P. P. M. A. R., & Kaptein, S. P. (2006). The internal morality of contracting: advancing the contractualist endeavor in business ethics. Academy of Management Review, 31, 521–539.CrossRef
8.
9.
10.
Chakravarty et al. (2013). Supply chain transformation: Evolving with emerging business paradigms (2,014th ed.). Springer Texts in Business and Economics, Kindle Edition.
11.
Lowry, P. B. & Wilson, D. (2016). Creating agile organizations through IT: The influence of internal IT service perceptions on IT service quality and IT agility. Journal of Strategic Information Systems (JSIS), 25(3), 211–226. Available at SSRN: https://​ssrn.​com/​abstract=​2786236.CrossRef
12.
Chen, C., Liao, J., & Wen, P. (2014). Why does formal mentoring matter? The mediating role of psychological safety and the moderating role of power distance orientation in the Chinese context. International Journal of Human Resource Management, 25(8), 1112–1130.CrossRef
13.
Richardson, S. M., Kettinger, W. J., Banks, M. S., & Quintana, Y. (2014). IT and agility in the social enterprise: A case study of st jude children’s research hospital’s “Cure4Kids” IT-platform for international outreach. Journal of the Association for Information Systems, 15(1), Article 2.CrossRef
14.
de Albuquerque, P., & Christ, M. (2015). The tension between business process modeling and flexibility, The Journal of Strategic Information Systems, 24(3), 189–202, https://​doi.​org/​10.​1016/​j.​jsis.​2015.​08.​003.​CrossRef
15.
Kärcher, B. (2015). Alternative wege in die industrie 4.0–möglichkeiten und grenzen. In A. Botthof, & E. A. Hartmann (Eds.), Zukunft der Arbeit in Industrie 4.0 (pp. 47–58). Berlin: Springer.
16.
Lay, G. (Ed.). (2014). Servitization in industry. Switzerland: Springer International Publishing.
17.
Lüdtke, A. (2015). Wege aus der Ironie in richtung ernsthafter automatisierung. In A. Botthof, & E. A. Hartmann (Eds.), Zukunft der Arbeit in Industrie 4.0 (pp 125–146). Berlin: Springer.
18.
Rigby, D., & Bilodeau, B. (2015). Management tools & trends 2015. London: Bain and Company.
19.
Roos, G. (2015). Servitization as innovation in manufacturing—a review of the literature. In The handbook of service innovation (pp. 403–435). London: Springer.CrossRef
20.
Cline A. (2015). Agile development in the real world. New York: Apress, 297 s. ISBN 978-1-4842-1678-1.
21.
Schmidt, T. S., & Paetzold, K. (2017). Challenges of agile development: A cause-and-effect analysis. In G. Fanmuy, E. Goubault, D. Krob, & F. Stephan (Eds.), Complex systems design & management. Cham: Springer.
22.
Dingsøyr, T., & Moe, N. B. (2014). Towards principles of large-scale agile development. In: Agile Methods. Large-Scale Development, Refactoring, Testing, and Estimation. XP 2014 International Workshops, Rome, Italy, May 26–30, 2014, Revised Selected Papers.
23.
Dyer, L., & Ericksen, J. (2009). Complexity-based agile enterprises: Putting self-organizing emergence to work. In A. Wilkinson et al. (Eds.), The sage handbook of human resource management (pp. 436–457). London: Sage.
24.
Gromoff, A., Bilinkis (Stavenko), J., Shumsky, L. (2016). Vision of multilevel modelling of processes in enterprise architectures affected by big data collection and analysis. In International Conference Information Systems 2016 Special Interest Group on Big Data Proceedings. 10.
25.
26.
IEEE 1471. ANSI/IEEE 1471-2000, Recommended practice for architecture description of software-intensive systems.
27.
ISO 15704:2000. Industrial automation systems—Requirements for enterprise-reference architectures and methodologies.
28.
Zachman. (1987). A framework for information systems architecture. IBM Systems Journal, 26(3), p. 276.CrossRef
29.
30.
Hoogervorst, J. (2002). HR strategy for ICT-driven business context. International Journal of Human resources management. 13(8), pp. 1245–1265.
31.
Gromoff, A. (2010). A study of the subject-oriented approach for automation and process modeling of a service company. S-BPM ONE, 2010, 192–206.
32.
Naur, P., & Randell, B. (1968). Software engineering. In Report on a conference sponsored by the NATO science committee. Garmisch, Germany, 7–11 Oct 1968.
33.
34.
Chaum, D. (1981). Untraceable electronic mail, return addresses, and digital pseudonyms. Communications of the ACM, 24(2), 84–90.CrossRef
35.
Clarkson, M. R., Chong, S., & Myers, A. C. (2008). Civitas: Toward a secure voting system. In IEEE Symposium on Security and Privacy (pp. 354–368).
36.
Hao, F., Kreeger, M. N., Randell, B., Clarke, D., Shahandashti, S. F., & Lee, P. H. -J. (2014). Every vote counts: Ensuring integrity in large-scale electronic voting. The USENIX Journal of Election Technology and Systems, 1.
37.
Kiayias, A., Korman, M., & Walluck, D. (2006). An internet voting system supporting user privacy. In Computer Security Applications Conference, 2006. ACSAC’06. 22nd Annual (pp. 165–174).
38.
Adida, B., Marneffe, O., Pereira, O., & Quisquater, J. -J. (2009). Electing a university president using open-audit voting: Analysis of real-world use of helios. In Proceedings of the Electronic Voting Technology Workshop/Workshop on Trustworthy Elections (EVT/WOTE). USENIX Association.
39.
Andrew C. (2004). Practical high certainty intent verification for encrypted votes.
40.
Ryan, P. Y. A., Bismark, D., Heather, J., Schneider, S., & Xia, Z. (2009). Prêt à voter: a voter-verifiable voting system. IEEE Transactions on Information Forensics and Security, 4(4), 662–673.CrossRef
41.
Shahandashti S. F., & Hao F. (2016). DRE-ip: A verifiable evoting scheme without tallying authorities. In European Symposium on Research in Computer Security (pp. 223–240). Springer.CrossRef
42.
Chaum, D. (2004). Secret-ballot receipts: True voter-verifiable elections. IEEE Security & Privacy, 2(1), 38–47.CrossRef
43.
Bell, S., Benaloh, J., Byrne, M. D., DeBeauvoir, D., Eakin, B., Fisher, G., et al. (2013). STAR-Vote: A secure, transparent, auditable, and reliable voting system. USENIX Journal of Election Technology and Systems, 1(1), 18–37.
44.
Chaum, D., Carback, R., Clark, J., Essex, A., Popoveniuc, S., Rivest, R. L., et al. (2008). Scantegrity II: End-to-End verifiability for optical scan election systems using invisible ink confirmation codes. EVT, 8, 1–13.
45.
Groth, J. (2004). Efficient maximal privacy in boardroom voting and anonymous broadcast. In International Conference on Financial Cryptography (pp. 90–104). Springer.CrossRef
46.
Kiayias, A., & Yung, M. (2002). Self-tallying elections and perfect ballot secrecy. In International Workshop on Public Key Cryptography (pp. 141–158). Springer.CrossRef
47.
48.
McCorry, P., Shahandashti, S. F., & Feng, H. A smart contract for boardroom voting with maximum voter privacy.
49.
Feng, H., Ryan, P. Y., & Zielinski, P. (2010). Anonymous voting by two-round public discussion. IET Information Security, 4(2), 62–67.CrossRef
50.
Kosba, A., Miller, A., Shi, E., Wen, Z., & Papamanthou, C. Hawk: The blockchain model of cryptography and privacy-preserving smart contracts.
51.
Yang, N., & Clark, J. Practical governmental voting with unconditional integrity and privacy.
52.
Kohno T., Stubblefield A., Rubin A. D., & Wallach D. S. (2004). Analysis of an electronic voting system. In IEEE Symposium on Security and Privacy (pp. 27–42).
53.
Tatsuaki O. (1998) Receipt-free electronic voting schemes for large scale elections. In: Security Protocols, 5th International Workshop (Vol. 1361, pp. 25–35).
54.
Rivest, R. L., Shamir, A., & Adleman, L. (1978). A method for obtaining digital signatures and public-key cryptosystems. Communications of the ACM, 21(2), 120–126.MathSciNetCrossRef
55.
Nazmul, I., et al. (2017). A new e-voting scheme based on revised simplified verifiable re-encryption mixnet. In Paper presenter in Networking, Systems and Security (NSysS), 2017 International IEEE Conference.
56.
Meenal, J., & Singh, M. (2017) Identity based secure RSA encryption system. In: Proceedings of International Conference on Communication and Networks. Springer: Singapore.
57.
Chugunkov, I. V. et al. (2017). Classification of pseudo-random number generators applied to information security. In: Proceedings in Young Researchers in Electrical and Electronic Engineering (EIConRus), 2017 IEEE Conference of Russian.
58.
Olivier, P., & Ronald, L. Rivest. Marked Mix-Nets.
59.
King-Hang W., et al. A review of contemporary E-voting: Requirements, technology, systems and usability.
60.
61.
Ali, T. S., & Murray J. (2016) An overview of end-to-end verifiable voting systems. In Real-world electronic voting: Design, analysis and deployment (pp. 171–218). CRC Press.
62.
Herschberg, Mark A. (1997). Secure electronic voting over the world wide Web. Massachusetts Institute of Technology: Diss.
63.
Neumann, S., Budurushi, J., & Volkamer, M. (2014). Analysis of security and cryptographic approaches to provide secret and verifiable electronic voting. In Design, development, and use of secure electronic voting systems. IGI Global.
64.
Jonker, H., Mauw, S., & Pang, J. (2013). Privacy and verifiability in voting systems: Methods, developments and trends. Computer Science Review, 10, 1–30.CrossRef
65.
Goldwasser, S., Micali, S., & Rackoff, C. (1989). The knowledge complexity of interactive proof systems. SIAM Journal on Computing, 18(1), 186–208.MathSciNetCrossRef
66.
67.
Bootle J., et al. (2016). Efficient zero-knowledge proof systems. In Foundations of security analysis and design VIII (pp. 1–31). Springer International Publishing.MATH
68.
69.
70.
71.
72.
73.
74.
75.
76.
Liu, B. (2012). Sentiment analysis and opinion mining. Morgan & Claypool Publishers.
77.
78.
Kaplan, A. M., & Haenlein, M. (2012). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59–68.CrossRef
79.
80.
81.
82.
Hugo, N. C., & Lacher, R. G. (2014). Understanding the role of culture and heritage in community festivals: An importance-performance analysis. Journal of Extension, 52.
83.
Gertz, D. (1991). Festivals, special events, and tourism.
84.
Rice, D. R., & Zorn, C. (2013). Corpus-based dictionaries for sentiment analysis of specialized vocabularies. In New Directions in Analyzing Text as Data Workshop. London.
85.
Wang, S., & Manning, C. D. (2012). Baselines and bigrams: simple, good sentiment and topic classification. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics.
86.
Gamallo, P., & Garcia, M. (2014). Citius: A naive-bayes strategy for sentiment analysis on english tweets. In Proceedings of the 8th International Workshop on Semantic Evaluation, (pp. 171–175). Dublin, Ireland.
87.
Mehra, N., Khandelwal, S., & Patel, P. (2012). Sentiment identification using maximum entropy analysis of movie reviews. USA.
88.
Lehrer, A. (1985). Markedness and antonymy. Journal of Linguistics, 397–429.CrossRef
89.
Turney, P. (2002). Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews. In ACL 2002 (pp. 417–424).
90.
Baccianella, E. A., Sebastiani, S., & Sebastiani, F. (2010). An enhanced lexical resource for sentiment analysis and opinion mining. LREC, 10, 2200–2204.
91.
Wiebe, J., & Cardie, C. (2005). Annotating expressions of opinions and emotions in language. Language Resources and Evaluation, 165–210.CrossRef
92.
Strapparava, C., & Valitutti, A. (2004). Wordnet affect: An affective extension of wordnet. LREC, 4, 1083–1086.
93.
Moreno-Ortiz, A., & Hernández, C. P. (2013). Lexicon-based sentiment analysis of twitter messages in Spanish. Procesamiento del Lenguaje Natural, Revista, 93–100.
94.
Musto, C., Semeraro, S., & Polignano, M. (2014). A comparison of lexicon based approaches for sentiment analysis of microblog posts. Information filtering and retrieval. In Proceedings of the 8th International Workshop on Information Filtering (pp. 12–23).
95.
Momtazi, S. (2012). Natural language processing sentiment analysis.
96.
Bonev, B., Sanchez, R., & Rojas, S. O. (2012). Opinum: statistical sentiment analysis for opinion classification. In Computational approaches to subjectivity and sentiment analysis, (pp. 29–37). Jeju.
97.
Jurafsky, D., & Martin, J. (2014). Speech and language processing.
98.
Cambria, E., Schuller, B., Xia, Y., & Havasi, C. (2013). Knowledge-based approaches to concept- level sentiment analysis. IEEE Computer Society.CrossRef
99.
Bing, L. (2015). Opinions, sentiment, and emotion in text. Cambridge University Press.
100.
Gundla, V. A., & Otari, M. S. (2013). A review on sentiment analysis and visualization of customer reviews. International Journal of Science and Research, 4.
101.
Chunping, O., Yongbin, L. Shuqing, Z., & Yang Xiaohua, Y. (2015). Features-level sentiment analysis of movie reviews. Advanced Science and Technology Letters, 110–113.
102.
Jagtap, V. S., & Pawar, K. (2013). Analysis of different approaches to sentence-level sentiment. International Journal of Scientific Engineering and Technology, 164–170.
103.
Steinberger, J., Brychcin, T., & Konkol, M. (2014). Aspect-level sentiment analysis in Czech. In Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. Baltimore.
104.
Bongirwar, V. (2015). A survey on sentence level sentiment analysis. International Journal of Computer Science Trends and Technology (IJCST), 3(3).
105.
Zhang, L., & Liu B. (2014). Aspect and entity extraction for opinion mining. In Data mining and knowledge discovery for big data. Springer.
106.
Tan, C., Lee, L., Tang, J., Jiang, L., Zhou, M., & Li, P. (2011). User-level sentiment analysis incorporating social networks. San Diego, California: KKD.CrossRef
107.
Tripati, G., & Naganna, S. (2015). Feature selection and classification approach for sentiment analysis. Machine Learning and Applications: An International Journal, 2.
108.
109.
110.
Garbarino, S., & Holland, J. (2009). In J. Holland (Ed.) Quantitative and qualitative methods in impact evaluation and measuring results. Social Development Dialect.
111.
Schmuck, R. (1997). Practical action research for change. IRI/Skylight Training and Publishing.
112.
113.
Prevention, C. F. (2008). Evaluation briefs.
114.
Wilkinson, S. (2004). Focus groups: A feminist method. In S. Hesse-Biber (Eds.), Femininst perspective on social research (pp. 271–295). New York: Oxford University Press.
115.
Mmari, K. (2006). Using qualitative methods for monitoring and evaluation. Johns Hopkins University.
116.
117.
118.
119.
Pine, B. J., II, & Gilmore, J. H. (1999). The experience economy. Boston: Harvard Business School Press.
120.
Duncan, E., Jones, C., & Rawson, A. (2013). The truth about customer experience. Harvard Business School Publishing Corporation. Retrieved from www.​mckinsey.​com.
121.
122.
123.
Zykov, S. (2017). Crisis response and management: technological and human factor-based agility (Chapter 120/705). In M. Khosrow-Pour (Ed.), Encyclopedia of information science and technology (4th Ed., pp. 1396–1406). Information resources management association, USA, Vol. 2, Section: Crisis Response and Management, Release Date: July 2017, ©2018, 7500 pp.
Metadata
Title
The Agile Way
Author
Sergey V. Zykov
Copyright Year
2018
Book
Managing Software Crisis: A Smart Way to Enterprise Agility

Print ISBN: 978-3-319-77916-4

Electronic ISBN: 978-3-319-77917-1

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-77917-1_1

Premium Partner

    Image Credits