Integration of parametric modeling tools in small architectural offices – between constraints and organizational strategies

References

• Aish, R., & Bredella, N. (2017). The evolution of architectural computing: From building modelling to design computation. Architectural Research Quarterly, 21(1), 65–73.
   Web of Science ®Google Scholar
• Aish, R., & Woodbury, R. (2005). Multi-level interaction in parametric design. Computer Science, 3638, 151–162. http://link.springer.com/10.1007/978-3-642-02115-2
   Google Scholar
• Amphoux, P. (2002). Ambiance et conception : De l’analyse des ambiances à la conception architecturale et urbaine. In Conférence Internationale Herbert Simon, Sciences de l’ingénierie, Sciences de La Conception (pp. 19–32).
   Google Scholar
• Anton, I., & Tanase, D. (2016). Informed geometries. Parametric modelling and energy analysis in early stages of design. Energy Procedia, 85, 9–16.
   Google Scholar
• Architects’ Council of Europe. (2019). La profession d’architecte en Europe 2018: Une étude du secteur. Study by Mirza & Nacey Research.
   Google Scholar
• Azzouz, A., & Papadonikolaki, E. (2020). Boundary-spanning for managing digital innovation in the AEC sector. Architectural Engineering and Design Management, 1–18. doi:10.1080/17452007.2020.1735293
   Web of Science ®Google Scholar
• Bhooshan, S. (2017). Parametric design thinking: A case-study of practice-embedded architectural research. Design Studies, 52, 115–143. doi:10.1016/j.destud.2017.05.003
   Web of Science ®Google Scholar
• Borillo, M., & Goulette, J. P. (2002). Cognition et création. Explorations cognitives des processus de conception. Sprimont: Mardaga.
   Google Scholar
• Bourbonnais, S. (2014). Sensibilités technologiques: expérimentations et explorations en architecture numérique 1987–2010 [Thesis]. Université de Laval-Québec et Université de Paris-est.
   Google Scholar
• Boyd, R., & Holton, R. J. (2017). Technology, innovation, employment and power: Does robotics and artificial intelligence really mean social transformation? Journal of Sociology, 1, 15. doi:10.1177/1440783317726591
   Google Scholar
• Bruni, A., Miele, F., Pittino, D., & Tirabeni, L. (2021). The intricacies of power relations and digital technologies in organizational processes. Studi Organizzativi, 1, 7–24.
   Google Scholar
• Bukhari, F. A. (2011). A hierarchical evolutionary algorithmic design (HEAD) system for generating and evolving buildings design models. Queensland University of Technology.
   Google Scholar
• Burry, M. (2013). Scripting cultures: Architectural design and programming. John Wiley.
   Google Scholar
• Carpo, M. (2017). The second digital turn – Design beyond intelligence. Writing Architecture, MIT Press.
   Google Scholar
• Chandler, D. (2002). Technological or media determinism: Introduction. The media and communications studies site.
   Google Scholar
• Chien, S.-F., & Yeh, Y.-T. (2012). On creativity and parametric design. In Proceedings of 30th ECAADe conference: Digital aids to design creativity (Vol. 1, pp. 245–254).
   Google Scholar
• Cichocka, J. M., Browne, W. N., & Rodriguez, E. (2017). Optimization in the architectural practice – An international survey. Protocols, flows and glitches. In Proceedings of the 22nd international CAADRIA (Vols. 5–8, pp. 387–397).
   Google Scholar
• Creswell, J. W., & Clark, V. L. P. (2017). Designing and conducting mixed methods research. Sage publications.
   Google Scholar
• De la Cruz Paragas, F., & Lin, T. T. (2016). Organizing and reframing technological determinism. New Media & Society, 18(8), 1528–1546.
   Web of Science ®Google Scholar
• Deutsch, R. (2019). Superusers – Design technology specialists and the future of practice. Routledge – Taylor & Francis Group.
   Google Scholar
• Fok, W. W., & Picon, A. (2016). The ownership revolution. Architectural Design, 86(5), 6–15.
   Web of Science ®Google Scholar
• Foster, & Partners. (2006). Instrumental geometry. Architectural Design, 76(2), 42–53.
   Google Scholar
• Haidar, A., Underwood, J., & Coates, P. (2019). Smart processes for smart buildings: ‘Sustainable processes’, ‘recyclable processes’ and ‘building seeds’ in parametric design. Architectural Engineering and Design Management, 15(5), 402–429. doi:10.1080/17452007.2018.1564645
   Web of Science ®Google Scholar
• Harding, J. E., Joyce, S., Shepherd, P., & Williams, C. (2012). Thinking topologically at early stage parametric design. Advances in Architectural Geometry, 2012, 67–76. http://opus.bath.ac.uk/31469/
   Google Scholar
• Harding, J. E., & Shepherd, P. (2017). Meta-parametric design. Design Studies, 52, 73–95. doi:10.1016/j.destud.2016.09.005
   Web of Science ®Google Scholar
• Hesselgren, L., & Medjdoub, B. (2011). Interview with Lars Hesselgren, director PLP research. In T. Kocaturk & B. Medjdoub (Eds.), Distributed intelligence in design (pp. 247–251). Chichester: Wiley-Blackwell.
   Google Scholar
• Holz, E. B. (2021). Sociomateriality and organizational analysis: From rhetoric to relevance. Organizações & Sociedade, 28, 241–264.
   Google Scholar
• Imbert, F., Frost, K. S., Fisher, A., Witt, A., Tourre, V., & Koren, B. (2012). Concurrent geometric, structural and environmental design. Louvre Abu Dhabi.
   Google Scholar
• Jabi, W., Soe, S., Theobald, P., Aish, R., & Lannon, S. (2017). Enhancing parametric design through non-manifold topology. Design Studies, 52, 96–114.
   Web of Science ®Google Scholar
• Johnson, R. B., Onwuegbuzie, A. J., & Turner, L. A. (2007). Toward a definition of mixed methods research. Journal of Mixed Methods Research, 1(2), 112–133.
   Web of Science ®Google Scholar
• Kocaturk, T. (2019). An investigation of the emerging knowledge in digital design from a multidisciplinary perspective. Architectural Engineering and Design Management, 3(2), 93–105. doi:10.7250/csimq.2016-6.03
   Google Scholar
• Leach, N. (2009). Digital morphogenesis. Architectural Design, 1(79), 32–37.
   Google Scholar
• Léglise, M. (2016). Informatique et architecture: la grande illusion. SCAN-16. Retrieved from http://Scan16.Toulouse.Archi.Fr
   Google Scholar
• Leitão, A. (2013). Teaching computer science for architecture: A proposal. In Future traditions: 1st ECAADe regional international workshop (pp. 95–104).
   Google Scholar
• Marshall, P. D., & Burnett, R. (2003). Web theory: An introduction. Routledge.
   Google Scholar
• Nizet, J., & Pichault, F. (1995). Comprendre les organisations: Mintzberg à l'épreuve des faits. Paris: Gaëtan Morin Éditeur Europe.
   Google Scholar
• Ordre des Architectes. (2016). Consulted on Ordredesarchitectes.Be. Annual report.
   Google Scholar
• Orlikowski, W. J. (1992). The duality of technology: Rethinking the concept of technology in organizations. Organization Science, 3(3), 398–427.
   Web of Science ®Google Scholar
• Orlikowski, W. J. (2000). Using technology and constituting structures: A practice lens for studying technology in organizations. Organization Science, 11(4), 404–428. doi:10.1287/orsc.11.4.404.14600
   Web of Science ®Google Scholar
• Orlikowski, W. J. (2007). Sociomaterial practices: Exploring technology at work. Organization Studies, 28, 1435–1448. doi:10.1177/0170840607081138
   Web of Science ®Google Scholar
• Oxman, R. (2017). Thinking difference: Theories and models of parametric design thinking. Design Studies, 52, 4–39.
   Web of Science ®Google Scholar
• Pichault, F. (2013). Change management: Toward a polyphonic management. In De Boeck Superieur (Eds).
   Google Scholar
• Recker, J. (2012). Scientific research in information systems: A beginner’s guide. Springer Science & Business Media.
   Google Scholar
• Riccobono, A., & Pellitteri, G. (2014). The digital change. Reasons and meanings of a new architectural expressivity. In D. Rockwood, & M. Sarvimäki (Eds.), ARCC/EAAE 2014|beyond architecture: New intersections & connections (pp. 408–417). University of Hawaii.
   Google Scholar
• Robertson, B. F., & Radcliffe, D. F. (2009). Impact of CAD tools on creative problem solving in engineering design. Computer-Aided Design, 41(3), 136–146.
   Web of Science ®Google Scholar
• Salim, F. D., & Burry, J. (2010). Software openness: Evaluating parameters of parametric modeling tools to support creativity and multidisciplinary design integration. In D. Taniar et al.: ICCSA (Vol. 3, pp. 483–497).
   Google Scholar
• Scheffers, P., Seijkens, N., Rondeaux, G., Beuker, L., Lisein, O., & Pichault, F. (2017). Rapport d’étude sur la nature, l’évolution et la quantification des prestations des architectes. Rapport pour l’Ordre des Architectes Francophones et Germanophones.
   Google Scholar
• Sennett, R. (2010). Ce que sait la main: La culture de l’artisanat. Albin Michel.
   Google Scholar
• Shelden, D. R. (2002). Digital surface representation and the constructability of Gehry’s architecture. Masachusetts Institute of Technology.
   Google Scholar
• Sprecher, A., & Ahrens, C. (2016). Adaptive knowledge in architecture: A few notes on the nature of transdisciplinarity. Architectural Design, 86(5), 26–35.
   Web of Science ®Google Scholar
• Stals, A. (2019). Pratiques numériques émergentes en conception architecturale dans les bureaux de petite taille, Perceptions et usages de la modélisation paramétrique [Thesis]. Université de Liège.
   Google Scholar
• Stals, A., Elsen, C., & Jancart, S. (2017). Practical trajectories of parametric tools in small and medium architectural firms. In Future trajectories in computation in design, CAAD futures, Istanbul.
   Google Scholar
• Stals, A., Jancart, S., & Elsen, C. (2016). How do small and medium architectural firms deal with architectural complexity? A look into digital practices. In 34th ECAADe conference proceedings: Complexity and simplicity (No. 2, pp. 159–168).
   Google Scholar
• Stals, A., Jancart, S., & Elsen, C. (2018). Influence of parametric tools on the complexity of architectural design in everyday work of SMEs. ArchNet-IJAR, 12(3), 206. doi:10.26687/archnet-ijar.v12i3.1665
   Web of Science ®Google Scholar
• Stals, A., Jancart, S., & Elsen, C. (2021). Parametric modeling tools in small architectural offices: Towards an adapted design process model. Design Studies, 72. doi:10.1016/j.destud.2020.100978
   Web of Science ®Google Scholar
• Tamke, M., & Thomsen, M. R. (2018). Complex modelling. International Journal of Architectural Computing, 16(2), 87–90.
   Web of Science ®Google Scholar
• Tedeschi, A., & Andreani, S. (2014). AAD, algorithms-aided design: Parametric strategies using grasshopper. In Le Penseur (Eds). Brienza, Italy.
   Google Scholar
• Terzidis, K. (2004). Algorithmic design: A paradigm shift in architecture? In Architecture in the network society – 22ndECAADe conference proceedings (pp. 201–207).
   Google Scholar
• Tribout, S., & Margier, A. (2018). L’essor des outils numériques dans le champ de la conception urbaine: vecteur de recomposition des postures et pratiques (inter)professionnelles ? 01.DESIGN11, pp. 1–22.
   Google Scholar
• Wortmann, T., & Tuncer, B. (2017). Differentiating parametric design: Digital workflows in contemporary architecture and construction. Design Studies, 52, 173–197.
   Web of Science ®Google Scholar
• Yu, R., Gero, J., & Gu, N. (2015). Architects’ cognitive behaviour in parametric design. International Journal of Architectural Computing, 13(1), 83–101.
   Web of Science ®Google Scholar
• Yu, R., Ostwald, M. J., & Gu, N. (2015). Empirical evidence of designers’ cognitive behavior in a parametric design environment and a geometric modeling environment. In IASDR2015 congress.
   Google Scholar