Industry Trends to 2040

Eckert, Claudia; Isaksson, Ola; Hallstedt, Sophie I.; Malmqvist, Johan; Rönnbäck, Anna Öhrwall; Panarotto, Massimo

doi:10.1017/dsi.2019.218

Cited by 18 publications

(19 citation statements)

References 5 publications

(3 reference statements)

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“…Servitization refers to "transformation toward a service-dominant logic, which stresses the importance of providing solutions rather than products" [72]. In contrast to findings in literature reviews [57,58], the interviewed companies did not indicate that servitization is a future competitive strategy and an important source of profit, despite the fact that it is less hard to imitate.…”

Section: Capabilities In Product Development For Realizing the Potentcontrasting

confidence: 56%

“…This study showed a need for new and complemented education in industry on the three areas in order to meet the possibilities, needs, and expectations from society. Therefore, strategic measures from a societal level in offering multidisciplinary education, as well as long-life learning efforts, should be prioritized, as also discussed in Eckert et al [72]. A higher educational level can both generate new unique solutions and improve the company's internal work processes, and, together with support companies and suppliers, be prepared and more proactive in the transition towards a more digitalized and sustainable society.…”

Section: Capabilities In Product Development For Realizing the Potentmentioning

confidence: 99%

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The Need for New Product Development Capabilities from Digitalization, Sustainability, and Servitization Trends

2020

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Apparent from the latest pandemic, the dynamics and rate of change in society accelerate on a global scale. Ongoing mega-trends in society, such as digitalization, sustainability, and servitization, fundamentally changes the conditions for manufacturers when developing and providing new products. This study clarifies the combined impact and consequences on product development capabilities in manufacturing firms of the three mega-trends: (i) digitalization, (ii) sustainability, and (iii) servitization. The research is based on a pre-study, complemented with a semi-structured interview study at small, medium-sized, and large Swedish-based manufacturing companies, and a systematic literature review. The research makes evident that the main challenge is to empower engineers and development teams to model, present, evaluate, and develop expected and smart digitalized solutions in a time-limited environment and prioritize the most resource efficient and sustainable solution. Therefore, four complementary support resources are suggested: (i) a knowledge management platform, (ii) a data management platform, (iii) a set of criteria and metrics measuring progression, and (iv) support methods and tools to define, model, and evaluate solutions. When integrated into a digital platform, developers can simultaneously access and process the necessary information needed for sustainable, digitalized, and servitized solutions.

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Section: Capabilities In Product Development For Realizing the Potentcontrasting

confidence: 56%

Section: Capabilities In Product Development For Realizing the Potentmentioning

confidence: 99%

The Need for New Product Development Capabilities from Digitalization, Sustainability, and Servitization Trends

2020

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“…before, as products are becoming more complex and interdisciplinary, companies aim to deliver holistic user experiences based on new business models and the development processes are becoming more global (Nguyen, Müller & Stark 2013;Kimita et al 2015;Eckert et al 2019;Wichmann, Eisenbart & Gericke 2019). For example, Industry 4.0 will require a greater integration between software, hardware and electronics.…”

Section: /22mentioning

confidence: 99%

Supporting designers: moving from method menagerie to method ecosystem

et al. 2020

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Supporting designers is one of the main motivations for design research. However, there is an ongoing debate about the ability of design research to transfer its results, which are often provided in form of design methods, into practice. This article takes the position that the transfer of design methods alone is not an appropriate indicator for assessing the impact of design research by discussing alternative pathways for impacting design practice. Impact is created by different means – first of all through the students that are trained based on the research results including design methods and tools and by the systematic way of thinking they acquired that comes along with being involved with research in this area. Despite having a considerable impact on practice, this article takes the position that the transfer of methods can be improved by moving from cultivating method menageries to facilitating the evolution of method ecosystems. It explains what is understood by a method ecosystem and discusses implications for developing future design methods and for improving existing methods. This paper takes the position that efforts on improving and maturing existing design methods should be raised to satisfy the needs of designers and to truly support them.

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“…Data analysis, Big data and AI are wildly recognised trend areas in engineering, [6], [16], [17] and engineering companies are bracing themselves to respond and work with data experts.…”

Section: Working With Data Expertsmentioning

confidence: 99%

Data Fairy in Engineering Land: The Magic of Data Analysis as a Sociotechnical Process in Engineering Companies

Eckert

Isaksson

Eckert

et al. 2020

Journal of Mechanical Design

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In the era of digitalization, manufacturing companies expect their growing access to data to lead to improvements and innovations. Manufacturing engineers will have to collaborate with data scientists to analyze the ever-increasing volume of data. This process of adopting data science techniques into an engineering organization is a sociotechnical process fraught with challenges. This article uses a participant observation case study to investigate and discuss the sociotechnical nature of the adoption data science technology into an engineering organization. In the case study, a young data scientist/statistician interacted with experienced production engineers in a global automotive organization to mutual satisfaction. However, the case study highlights the mis-aligned expectations between engineers and data scientists and knowledge in what is necessary to successfully benefit from manufacturing process data. The results reveal that the engineers had an initially romantic and idealistic view on how data scientists can bring value out of dispersed and complex information residing in the multisite manufacturing organization’s datasets in a “magic” way. Conversely, the data scientist had not enough engineering and contextual understanding to ask the right questions. The case reveals important shortcomings in the sociotechnical processes that undergo changes as digitalization is brought into mature engineering organizations and points to a lack of knowledge on multiple levels of the data analysis process and the ethical implications this could have.

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Industry Trends to 2040

Cited by 18 publications

References 5 publications

The Need for New Product Development Capabilities from Digitalization, Sustainability, and Servitization Trends

The Need for New Product Development Capabilities from Digitalization, Sustainability, and Servitization Trends

Supporting designers: moving from method menagerie to method ecosystem

Data Fairy in Engineering Land: The Magic of Data Analysis as a Sociotechnical Process in Engineering Companies

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