Abstract
The proliferation of service-based software in the past decade has prompted organizations to reconsider their software development approaches. The scenario is further infused with the complexity with the wave of generative artificial intelligence adoption. This effects on one side how organizations address customer issues, motivate developers to create scalable solutions and on the other side how businesses will evaluate software solutions and their adoption to improve their business processes. This transformation impacts the customer experiences, although harmonizing the experiences of both developers and customers presents a challenge due to existing processes and procedures.
To improve both consumer and producer productivity, it is essential to enhance the end-user experiences and usability of all software tools and associated processes within organization’s internal ecosystem. The importance of programs that under-score organizational psychology, mindfulness, design thinking and the nurturing of a growth mindset has been acknowledged by organizations to have influenced digital adoption.
Our research tries to understand the paradigm of customer-centric software development, its connection to developer ecosystems and how it influences the adoption of the solution in various industry verticals. It explores the existing and cur-rent state of approaches, improvements, and challenges to come up with a framework to nurture their developer ecosystem by fostering a culture focused on design.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Bingley, W.J., et al.: Where is the human in human-centered AI? Insights from developer priorities and user experiences. Comput. Hum. Behav. 141, 107617 (2023)
Alami, A., Paasivaara, M.: How do agile practitioners interpret and foster “technical excellence”?. In Evaluation and Assessment in Software engineering, pp. 10–19 (2021)
Kaptelinin, V., Nardi, B.A.: Acting with Technology: Activity Theory and Interaction Design. MIT Press (2006)
Dybå, T., Dingsøyr, T.: Empirical studies of agile software development: a systematic review. Inf. Softw. Technol. 50(9–10), 833–859 (2008)
Alami, A., Krancher, O.: How Scrum adds value to achieving software quality? Empir. Softw. Eng. 27(7), 165 (2022)
Suherman, S., Vidákovich, T.: Assessment of mathematical creative thinking: a systematic review. Think. Skills Creativity 44, 101019 (2022)
Zhang, J., Desrochers, M., Fensken, M.: Evaluation of teacher, self-assessment, and combined feedback to increase students’ behavioral observation skills. Int. J. Teach. Learn. High. Educ. 35(1), 48–66 (2023)
Almeida, F., Simões, J., Lopes, S.: Exploring the benefits of combining devops and agile. Future Internet 14(2), 63 (2022)
Pincus, J.D.: Employee Engagement as Human Motivation: Implications for Theory, Methods, and Practice. Integrative Psychological and Behavioral Science, pp. 1–33 (2022)
Hofman, B., de Vries, G., van de Kaa, G.: Keeping things as they are: How status quo biases and traditions along with a lack of information transparency in the building industry slow down the adoption of innovative sustainable technologies. Sustainability 14(13), 8188 (2022)
Agrati, L.S., Vinci, V.: Evaluative Knowledge and Skills of Student Teachers Within the Adapted Degree Courses. In Frontiers in Education, vol. 7, p. 817963. Frontiers (2022)
Miri, D.H., Macke, J.: Gamification, motivation, and engagement at work: a qualitative multiple case study. Eur. Bus. Rev. 34(2), 263–276 (2022)
Barwick, M., et al.: The Implementation Playbook: study protocol for the development and feasibility evaluation of a digital tool for effective implementation of evidence-based innovations. Implement. Sci. Commun. 4(1), 21 (2023)
Alamin, M.A.A.: Democratizing Software Development and Machine Learning Using Low Code Applications (2022)
Chakravorty, R.: Common challenges of data governance. J. Secur. Oper. Custody 13(1), 23–43 (2020)
Brundage, M., Avin, S., Wang, J., Belfield, H., Krueger, G., Hadfield, G., Anderljung, M.: Toward trustworthy AI development: mechanisms for supporting verifiable claims. arXiv preprint arXiv:2004.07213 (2020)
Washington, A.L., Kuo, R.: Whose side are ethics codes on? Power, responsibility and the social good. In: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, pp. 230–240 (2020)
Wong-Parodi, G., Mach, K.J., Jagannathan, K., Sjostrom, K.D.: Insights for developing effective decision support tools for environmental sustainability. Current Opin. Environ. Sustain. 42, 52–59 (2020)
Mailach, A., Siegmund, N.: Socio-technical anti-patterns in building ML-enabled software: insights from leaders on the forefront. In: 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), pp. 690–702. IEEE (2023)
Werdhiastutie, A., Suhariadi, F., Partiwi, S.G.: Achievement motivation as antecedents of quality improvement of organizational human resources. Budapest Int. Res. Critics Inst. J. (BIRCI-J.) 3, 747–752 (2020)
Birkhofer, H. (ed.): The Future of Design Methodology, pp. 35–46. Springer, London (2011)
Kuusinen, K.: software developers as users: developer experience of a cross-platform integrated development environment. In: Abrahamsson, P., Corral, L., Oivo, M., Russo, B. (eds.) Product-Focused Software Process Improvement. PROFES 2015. LNCS, vol. 9459. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-26844-6_40
Weir, C., Becker, I., Blair, L.: Incorporating software security: using developer workshops to engage product managers. Empir. Softw. Eng. 28(2), 21 (2023)
Williams, B.J., Carver, J.C.: Characterizing software architecture changes: a systematic review. Inf. Softw. Technol. 52(1), 31–51 (2010)
Poth, A., Kottke, M., Riel, A.: Software developers as users: developer experience of a cross-platform integrated development environment. In: Abrahamsson, P., Corral, L., Oivo, M., Russo, B. (eds.) Product-Focused Software Process Improvement. PROFES 2015. LNCS, vol. 9459. Springer, Cham (2020). https://doi.org/10.1007/978-3-319-26844-6_40
Sawyer, S., Guinan, P.J.: Software development: Processes and performance. IBM Syst. J. 37(4), 552–569 (1998)
Nakamura, J., Csikszentmihalyi, M.: Flow theory and research. Handbook of Positive Psychology. vol. 195, p. 206 (2009)
Hernandez, R., Roll, S.C., Jin, H., Schneider, S., Pyatak, E.A.: Validation of the National Aeronautics and Space Administration Task Load Index (NASA-TLX) Adapted for the whole day repeated measures context. Ergonomics 65(7), 960–975 (2022)
Longo, L., Wickens, C.D., Hancock, G., Hancock, P.A.: Human mental workload: a survey and a novel inclusive definition. Front. Psychol. 13, 883321 (2022)
Molloy, E., Boud, D., Henderson, M.: Developing a learning-centred framework for feedback literacy. Assess. Eval. High. Educ. 45(4), 527–540 (2020)
Attanasio, G., Preghenella, N., De Toni, A.F., Battistella, C.: Stakeholder engagement in business models for sustainability: the stakeholder value flow model for sustainable development. Bus. Strateg. Environ. 31(3), 860–874 (2022)
Nylund, A.: A multivocal literature review on developer experience (2020)
Forsgren, N., Storey, M.A., Maddila, C., Zimmermann, T., Houck, B., Butler, J.: The SPACE of developer productivity: there’s more to it than you think. Queue 19(1), 20–48 (2021)
Verganti, R., Vendraminelli, L., Iansiti, M.: Innovation and design in the age of artificial intelligence. J. Prod. Innov. Manag. 37(3), 212–227 (2020)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 IFIP International Federation for Information Processing
About this paper
Cite this paper
Mahanta, P., Bhattacharya, M. (2024). Accelerating Product Success: Designing a Digital Adoption Framework to Elevate Developer Experiences. In: Sharma, S.K., Dwivedi, Y.K., Metri, B., Lal, B., Elbanna, A. (eds) Transfer, Diffusion and Adoption of Next-Generation Digital Technologies. TDIT 2023. IFIP Advances in Information and Communication Technology, vol 698. Springer, Cham. https://doi.org/10.1007/978-3-031-50192-0_24
Download citation
DOI: https://doi.org/10.1007/978-3-031-50192-0_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-50191-3
Online ISBN: 978-3-031-50192-0
eBook Packages: Computer ScienceComputer Science (R0)