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Impact beyond impact factor: The Design-science way

“Neo, sooner or later you’re going to realize just as I did that there’s a difference between knowing the path and walking the path” - Morpheu

In 2003, the following questions were exposed to the scientific community of operations management: “Do we contribute so little because we are irrelevant?” or “Are we irrelevant because we contribute so little?” (Ford, Duncan, Bedeian, Ginter, Rousculp & Adams, 2005Ford, E. W., Duncan, W. J., Bedeian, A. G., Ginter, P. M., Rousculp, M. D., & Adams, A. M. (2005). Mitigating risks, visible hands, inevitable disasters, and soft variables: management research that matters to managers. Academy of Management Perspectives, 19(4), 24-37. https://doi.org/10.5465/ame.2005.19417905
https://doi.org/10.5465/ame.2005.1941790...
, p. 36). It is not a new issue for the scientific community, but it remains today. The criticisms focus on rigor in conducting research at the expense of its usefulness. The literature has portrayed this situation as a trade-off between relevance and rigor. Besides, examples of dysfunctionalities of logic ‘publish or perish’ are also abundant.

In fact, in theory, there is no difference between theory and practice - in practice, there is - Yogi Berra (Schwendenwein, 2013Schwendenwein, I. (2013). In theory there is no difference between theory and practice - in practice there is (Yogi Berra). Veterinary Clinical Pathology, 42(4), 399-400. https://doi.org/10.1111/vcp.12100
https://doi.org/10.1111/vcp.12100...
). Several alternatives have been presented to address this gap between researchers and practitioners. Based on the ideas of Herbert A. Simon exposed in his book The Sciences of the Artificial (1969)Simon, H. A. (1969). The sciences of the artificial. Cambridge, MA: MIT Press., the concepts associated with ‘Design Science and Design Science Research’ are derived. From the 2000s, Prof. Van Aken from the Eindhoven University of Technology published a set of papers highlighting the need to transpose these concepts to the field of operations management. From these works, many authors realized that the Design Science and Design Science Research could contribute to reducing the apparent gap between relevance and practice.

In this way, ‘Design Science’ establishes itself as the research paradigm that seeks to generate knowledge of a prescriptive and design nature. Meanwhile, ‘Design Science Research’ is a research method that allows the rigorous generation of useful artifacts (pragmatic validity) (Dresch, Lacerda & Antunes, 2015Dresch, A., Lacerda, D. P., & Antunes Júnior, J. A. V. (2015). Design science research: a method for science and technology advancement. New York: Springer.). Many new concepts present themselves to the scientific community in this context, such as artifacts, classes of problems, satisfactory solutions, utility, abduction, etc. So, this is a journey that begins.

This journey seeks to achieve impact, beyond the impact factor. In other words, if you are looking to generate research that impacts by:

  • - Contributing effectively to better management;

  • - Facilitating management activities;

  • - Increasing the efficiency and competitiveness of organizations;

  • - Generating positive externalities in the economic, social, and environmental terms.

Many other attributes could be listed and are in the set of needs of the organizations’ professionals. That is, build satisfactory and useful (pragmatic validity) solutions (artifacts) for a class of problems and, as a consequence, extend the scope of your results to the largest number of organizations as possible. The real impact happens in organizations, society, and the environment. This impact needs to be observed, measured, and disseminated so that the operations management research is increasingly necessary for the target audience.

At the same time, the knowledge developed in the building of these solutions must be reliable, refutable, and generalizable. The artifacts developed and the solutions reached need to be robustly evaluated and expressed to facilitate the understanding and expand their reach in the scientific community. Scientific knowledge, under the ‘Design Science’ paradigm, consists of artificial objects (artifacts), on how to design, develop, and evaluate them to achieve the desired solutions. A knowledge that expands our ability to design and generate solutions. In other words, it is not reduced to a means for generating the ‘true’ scientific theory, possessing objects of another nature. Therefore, all the existing scientific and methodological frameworks should not be omitted, instead, the abductive reasoning, classes of problem, artifacts, and ‘Design Science Research’ are added.

The articles in this special issue share the desire to impact beyond the impact factor. The difficulties for this are not few. They begin with the teaching of ‘Design Science in Management Education’ itself. This theme is addressed in the article Mixing Oil with Water: How to Effectively Teach Design Science in Management Education? written by Prof. Dr. Duygu Keskin and Prof. Dr. Georges Romme (2020)Keskin, D., Romme, G. (2020). Mixing oil with water: How to effectively teach design science in management education? Brazilian Administration Review, 17(1), e190036. https://doi.org/10.1590/1807-7692bar2020190036
https://doi.org/10.1590/1807-7692bar2020...
(Distinguished Scholar-Practitioner Award of the Academy of Management), both from the Eindhoven University of Technology.

Other difficulties refer to the context, scale of coverage, and conflicting interests of the actors. Maybe the terms ‘Smart Cities’ and ‘Public Value’ will help to dimension the challenge proposed by the article The Smart Cities Methodology Based on Public Value: The First Evaluation Cycle. In this article, Prof. Dr. Josiane Brietzke Porto (UNISINOS) and Prof. Dr. Mirian Oliveira (PUCRS) seek to impact cities and public services by proposing and evaluating the ‘Smart Cities Methodology’ (SCML), consisting of ‘Smart Cities Reference Model’ (SCRM) and the ‘Smart Cities Assessment Method’ (SCAM), developed from the perspective of ‘Public Value’.

Besides those two works, other ones in this special issue show the amplitude and diversity of application fields where ‘Design Science’ can contribute to organizations. For example, in Brazil, the agribusiness sector has significant participation in the economy. In particular, small and medium-sized Brazilian farmers have a socially relevant role. In this sense, the article A Design Research Business Model: A Framework Built with Brazilian Farmers proposes a model to support small to medium-sized Brazilian farmers (Debastiani, Alperstedt, Santos & Koerich, 2020Debastiani, A. L. S., Alperstedt, G. D., Santos, G. F. Z., & Koerich, G. V. (2020). A design research business model: a framework built with brazilian farmers. Brazilian Administration Review, 17(1), e190032. http://dx.doi.org/10.1590/1807-7692bar2020190032
http://dx.doi.org/10.1590/1807-7692bar20...
). In fact, small businesses need support from the scientific community. The e-Qualifácil, proposed by Bianch and Ferraz. (2020)Bianchi, E. M. P. G., Ferraz Jr., S. (2020). e-Qualifácil: preparing small businesses for a quality management system. Brazilian Administration Review, 17(1), e180154. https://doi.org/10.1590/1807-7692bar2020180154
https://doi.org/10.1590/1807-7692bar2020...
consists of an artifact to support micro and small businesses in adopting a quality management system.

The university itself is an environment with many problems requiring our attention. A sensitive aspect in higher education institutions, particularly in universities, is the alignment of projects and the implementation of the strategy (Lacerda, Caulliraux & Spiegel, 2014Lacerda, D. P., Caulliraux, H. M., & Spiegel, T. (2014). Revealing factors affecting strategy implementation in HEIs - a case study in a Brazilian university. International Journal of Management in Education, 8(1), 54-77. http://doi.org/10.1504/IJMIE.2014.058751
http://doi.org/10.1504/IJMIE.2014.058751...
). Especially, public universities have characteristics that make this process complex. The research Promoting and Selecting Strategy-Aligned Projects through Consensus in Universities by Barbosa and Löbler (2020)Barbosa, F. P., & Löbler, M. L. (2020). Promoting and Selecting Strategy-Aligned Projects through Consensus in Universities-An Artifact. Brazilian Administration Review, 17(1), e190034. https://doi.org/10.1590/1807-7692bar2020190034
https://doi.org/10.1590/1807-7692bar2020...
sought to develop an approach to address this problem. The research by Gaspareto and Henriqson (2020)Gaspareto, M., & Henriqson, E. (2020). Business model analysis from the activity system perspective: a design science research. Brazilian Administration Review, 17(1), e190049. http://dx.doi.org/10.1590/1807-7692bar2020180145
http://dx.doi.org/10.1590/1807-7692bar20...
, in turn, proposes a Business Model Analysis from the Activity System Perspective.

Finally, current research, and highly relevant in the context of COVID-19, refers to mobile knowledge workers (MKW), which are a growing phenomenon in 21st-century society. One can imagine the difficulties in maintaining communication and, above all, making this work collaborative. For this challenge, the research Understanding Collaborative Problem-Solving on the Move: A Design Science Research Journey encapsulated a method in a mobile application to allow collaboration in solving problems in such environments (Francisco & Klein, 2020Francisco, R., & Klein, A. C. Z. (2020). Understanding collaborative problem-solving on the move: a design science research journey. Brazilian Administration Review, 17(1), e180145. http://dx.doi.org/10.1590/1807-7692bar2020180145
http://dx.doi.org/10.1590/1807-7692bar20...
). It is important to realize that there are possibilities of application for traditional environments as well. This is a characteristic of research in ‘Design Science’, that is, they refer to a class of problems that may exist in different contexts.

All articles in this special issue aim at generating solutions that can be used immediately in organizations. They also share the courage to learn new methods, propose and implement solutions, and, consequently, engage in the effort to make organizations more competitive. This special issue constituted a favorable locus for research with these characteristics. Despite this initial effort, there is still a wide field to be explored, investigated, and developed in ‘Design Science’ and ‘Design Science Research’ within organizations. In this sense, it seems opportune to suggest some paths for the development of research in ‘Design Science’ and ‘Design Science Research’.

In 2014 the Journal of Operations Management created the Design Science department, recently named Intervention-based (Chandrasekaran, Treville & Browning, 2020Chandrasekaran, A., Treville, S. de, & Browning, T. (2020). Editorial: Intervention‐based Research (IBR)-What, where, and how to use it in operations management. Journal of Operations Management. https://doi.org/10.1002/joom.1093
https://doi.org/10.1002/joom.1093...
). In this sense, maybe we should consider the possibility of concentrating research that aims to publish articles that generate artifacts and contribute to the development of management theory in a specific department. Of course, some benefits are evident: sedimentation of research practices, the concentration of artifacts produced, and ease of access by organizations and professionals. This is a path that might be considered.

‘Design Science’ and ‘Design Science Research’ have been developing in several themes and areas of knowledge. Wherein each exposes its position and what is considered appropriate for the construction of knowledge. The Brazilian scientific community in general, and the Brazilian Administration Review in particular, can develop their autonomous thinking and contribute to a broader understanding of ‘Design Science’ and ‘Design Science Research’.

Is the knowledge produced in ‘Design Science’ different from what we have produced? In epistemological terms, how do we justify and accumulate this knowledge? The ontological and epistemological aspects are not clearly explained in the ‘Design Science’ (Iivari, 2007Iivari, J. (2007). A paradigmatic analysis of information systems as a design science. Scandinavian Journal of Information Systems, 19(2), 39-64. Retrieved from: https://aisel.aisnet.org/sjis/vol19/iss2/5
https://aisel.aisnet.org/sjis/vol19/iss2...
; Piirainen & Gonzales, 2013Piirainen, K. A., & Gonzales, R. A. (2013). Constructive synergy in design science research: a comparative analysis of design science research and constructive research approach. LTA, 3(4), 206-234. Retrieved from: https://pdfs.semanticscholar.org/55e1/e5290cbafb3fd1e79440e73d3a140474665c.pdf
https://pdfs.semanticscholar.org/55e1/e5...
). The nature of the knowledge generated from the design and construction of artifacts needs to be better explained and understood (van Aken, 2015Van Aken, J. E. (2015). Presentation 1. In A. Dresch, D. P. Lacerda, J. A. V. Antunes Jr. Design science research: a method for science and technology advancement (pp. 11-12). New York: Springer.). In other words, we need research and reflections that better address these issues, providing opportunities for our contribution in global terms.

Another opportunity lies in the interrelationships between artifacts and knowledge on how to design them and the production of knowledge under the paradigm of traditional science. The design and the artifact are important both to incorporate knowledge and to integrate different theories (Haynes & Carroll, 2007Haynes, S. R., & Carroll, J. M. (2007). Theoretical design science in human-computer interaction: a practical concern? Artifact, 1(3), 179-194. https://doi.org/10.1080/17493460701872016
https://doi.org/10.1080/1749346070187201...
). There are developed artifacts that later contributed to the advancement of traditional scientific knowledge (LENOIR, 2005Lenoir, T. (2005). Inventando a universidade empreendedora: Stanford e a co-evolução do Vale do Silício. In A. C. Regner, & L. Rohden (Eds.). A filosofia e a ciência redesenham horizontes (pp. 239-300). São Leopoldo: Editora Unisinos.). In other words, traditional science and ‘Design Science’ have complementary and synergistic relationships.

The classes of problems as an organizer of knowledge and artifacts in ‘Design Science’ can be an important research path. Knowledge is usually linked to a discipline (Gibbons, Trow, Scott & Schwartzman, 1994Gibbons, M., Trow M, Scott P, & Schwartzman S. (1994). The new production of knowledge: the dynamics of science and research in contemporary societies. Great Britain: Sage Publications.; Veit, Lacerda, Camargo, Kipper & Dresch, 2017Veit, D. R., Lacerda, D. P., Camargo, L. F. R., Kipper, L. M., & Dresch, A. (2017). Towards Mode 2 knowledge production: analysis and proposal of a framework for research in business processes. Business Process Management Journal, 23(2), 293-328. http://doi.org/10.1108/BPMJ-03-2016-0045
http://doi.org/10.1108/BPMJ-03-2016-0045...
). Organizing research into classes of problems can help focus efforts and facilitate the development of problem-oriented research (Gauss, Lacerda & Miguel, 2020Gauss, L. G., Lacerda, D. P., & Miguel, P. A. C. (2020). Module-based product family design: systematic literature review and meta-synthesis. Journal of Intelligent Manufacturing, 31, 143-160. https://doi.org/10.1007/s10845-020-01572-3.
https://doi.org/10.1007/s10845-020-01572...
).

Finally, we need to investigate how ‘Design Science Research’ can be used for technological development within organizations. In Brazil, we have several companies that develop knowledge and technology in the areas of aerospace, oil and gas, mining, food, among others. In this context, could ‘Design Science Research’ be a method for conducting research and development in organizations? Anyway, these are some research directions in ‘Design Science’ and ‘Design Science Research’. Our scientific community has all the conditions to think autonomously and contribute to the debate that is under development in the international community.

We hope that this special edition of the Brazilian Administration Review, in times of the COVID-19 pandemic, will be the ‘first case’ of impact for ‘Design Science’ and ‘Design Science Research’ to have exponential growth, without flattening the curve, to approach and expand the absorption of operations management research by organizations.

References

  • Barbosa, F. P., & Löbler, M. L. (2020). Promoting and Selecting Strategy-Aligned Projects through Consensus in Universities-An Artifact. Brazilian Administration Review, 17(1), e190034. https://doi.org/10.1590/1807-7692bar2020190034
    » https://doi.org/10.1590/1807-7692bar2020190034
  • Bianchi, E. M. P. G., Ferraz Jr., S. (2020). e-Qualifácil: preparing small businesses for a quality management system. Brazilian Administration Review, 17(1), e180154. https://doi.org/10.1590/1807-7692bar2020180154
    » https://doi.org/10.1590/1807-7692bar2020180154
  • Chandrasekaran, A., Treville, S. de, & Browning, T. (2020). Editorial: Intervention‐based Research (IBR)-What, where, and how to use it in operations management. Journal of Operations Management https://doi.org/10.1002/joom.1093
    » https://doi.org/10.1002/joom.1093
  • Debastiani, A. L. S., Alperstedt, G. D., Santos, G. F. Z., & Koerich, G. V. (2020). A design research business model: a framework built with brazilian farmers. Brazilian Administration Review, 17(1), e190032. http://dx.doi.org/10.1590/1807-7692bar2020190032
    » http://dx.doi.org/10.1590/1807-7692bar2020190032
  • Dresch, A., Lacerda, D. P., & Antunes Júnior, J. A. V. (2015). Design science research: a method for science and technology advancement New York: Springer.
  • Ford, E. W., Duncan, W. J., Bedeian, A. G., Ginter, P. M., Rousculp, M. D., & Adams, A. M. (2005). Mitigating risks, visible hands, inevitable disasters, and soft variables: management research that matters to managers. Academy of Management Perspectives, 19(4), 24-37. https://doi.org/10.5465/ame.2005.19417905
    » https://doi.org/10.5465/ame.2005.19417905
  • Francisco, R., & Klein, A. C. Z. (2020). Understanding collaborative problem-solving on the move: a design science research journey. Brazilian Administration Review, 17(1), e180145. http://dx.doi.org/10.1590/1807-7692bar2020180145
    » http://dx.doi.org/10.1590/1807-7692bar2020180145
  • Gaspareto, M., & Henriqson, E. (2020). Business model analysis from the activity system perspective: a design science research. Brazilian Administration Review, 17(1), e190049. http://dx.doi.org/10.1590/1807-7692bar2020180145
    » http://dx.doi.org/10.1590/1807-7692bar2020180145
  • Gauss, L. G., Lacerda, D. P., & Miguel, P. A. C. (2020). Module-based product family design: systematic literature review and meta-synthesis. Journal of Intelligent Manufacturing, 31, 143-160. https://doi.org/10.1007/s10845-020-01572-3
    » https://doi.org/10.1007/s10845-020-01572-3
  • Gibbons, M., Trow M, Scott P, & Schwartzman S. (1994). The new production of knowledge: the dynamics of science and research in contemporary societies. Great Britain: Sage Publications.
  • Haynes, S. R., & Carroll, J. M. (2007). Theoretical design science in human-computer interaction: a practical concern? Artifact, 1(3), 179-194. https://doi.org/10.1080/17493460701872016
    » https://doi.org/10.1080/17493460701872016
  • Iivari, J. (2007). A paradigmatic analysis of information systems as a design science. Scandinavian Journal of Information Systems, 19(2), 39-64. Retrieved from: https://aisel.aisnet.org/sjis/vol19/iss2/5
    » https://aisel.aisnet.org/sjis/vol19/iss2/5
  • Keskin, D., Romme, G. (2020). Mixing oil with water: How to effectively teach design science in management education? Brazilian Administration Review, 17(1), e190036. https://doi.org/10.1590/1807-7692bar2020190036
    » https://doi.org/10.1590/1807-7692bar2020190036
  • Lacerda, D. P., Caulliraux, H. M., & Spiegel, T. (2014). Revealing factors affecting strategy implementation in HEIs - a case study in a Brazilian university. International Journal of Management in Education, 8(1), 54-77. http://doi.org/10.1504/IJMIE.2014.058751
    » http://doi.org/10.1504/IJMIE.2014.058751
  • Lenoir, T. (2005). Inventando a universidade empreendedora: Stanford e a co-evolução do Vale do Silício. In A. C. Regner, & L. Rohden (Eds.). A filosofia e a ciência redesenham horizontes (pp. 239-300). São Leopoldo: Editora Unisinos.
  • Piirainen, K. A., & Gonzales, R. A. (2013). Constructive synergy in design science research: a comparative analysis of design science research and constructive research approach. LTA, 3(4), 206-234. Retrieved from: https://pdfs.semanticscholar.org/55e1/e5290cbafb3fd1e79440e73d3a140474665c.pdf
    » https://pdfs.semanticscholar.org/55e1/e5290cbafb3fd1e79440e73d3a140474665c.pdf
  • Schwendenwein, I. (2013). In theory there is no difference between theory and practice - in practice there is (Yogi Berra). Veterinary Clinical Pathology, 42(4), 399-400. https://doi.org/10.1111/vcp.12100
    » https://doi.org/10.1111/vcp.12100
  • Simon, H. A. (1969). The sciences of the artificial Cambridge, MA: MIT Press.
  • Van Aken, J. E. (2015). Presentation 1. In A. Dresch, D. P. Lacerda, J. A. V. Antunes Jr. Design science research: a method for science and technology advancement (pp. 11-12). New York: Springer.
  • Veit, D. R., Lacerda, D. P., Camargo, L. F. R., Kipper, L. M., & Dresch, A. (2017). Towards Mode 2 knowledge production: analysis and proposal of a framework for research in business processes. Business Process Management Journal, 23(2), 293-328. http://doi.org/10.1108/BPMJ-03-2016-0045
    » http://doi.org/10.1108/BPMJ-03-2016-0045

Publication Dates

  • Publication in this collection
    24 June 2020
  • Date of issue
    2020
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