Towards Data-Driven Product Development: A Multiple Case Study on Post-deployment Data Usage in Software-Intensive Embedded Systems

2013 ◽  
pp. 152-164 ◽  
Author(s):  
Helena Holmström Olsson ◽  
Jan Bosch
Keyword(s):  
Embedded Systems ◽  
Product Development ◽  
Multiple Case Study ◽  
Data Driven ◽  
Data Usage ◽  
Multiple Case ◽  
Software Intensive

Improving the delivery cycle: A multiple-case study of the toolchains in Finnish software intensive enterprises

2016 ◽  
Vol 80 ◽  
pp. 175-194 ◽  
Author(s):  
Simo Mäkinen ◽  
Marko Leppänen ◽  
Terhi Kilamo ◽  
Anna-Liisa Mattila ◽  
Eero Laukkanen ◽  
...  
Keyword(s):  
Multiple Case Study ◽  
Multiple Case ◽  
Software Intensive

scholarly journals New product development in small and medium-sized technology based companies: a multiple case study

2018 ◽  
Vol 40 (1) ◽  
pp. 35242
Author(s):  
Eduardo Gomes Salgado ◽  
Valério Antonio Pamplona Salomon ◽  
Carlos Henrique Pereira Mello ◽  
Carlos Eduardo Sanches da Silva
Keyword(s):  
Product Development ◽  
New Product Development ◽  
Multiple Case Study ◽  
New Product ◽  
Multiple Case

scholarly journals Barriers to and Enablers of Usability in Electronic Consumer Product Development: A Multiple Case Study

2016 ◽  
Vol 32 (1) ◽  
pp. 1-71 ◽  
Author(s):  
Jasper van Kuijk ◽  
Heimrich Kanis ◽  
Henri Christiaans ◽  
Daan van Eijk
Keyword(s):  
Product Development ◽  
Multiple Case Study ◽  
Consumer Product ◽  
Multiple Case

Constructing a processual model of communication in new product development from a multiple case study of biotechnology SMEs

1969 ◽  
Vol 13 (3) ◽  
Author(s):  
Jennifer Frahm ◽  
David C Ireland ◽  
Damian Hine
Keyword(s):  
Product Development ◽  
New Product Development ◽  
Information Seeking ◽  
Success Factors ◽  
Multiple Case Study ◽  
New Product ◽  
Limited Attention ◽  
Multiple Case ◽  
Biotechnology Companies

For most companies in the biotechnology industry, the core business is new product development (NPD). Indeed, there are still very few companies that have products that have reached the market. Research into NPD in biotechnology companies has largely focussed on success factors rather than the processes of NPD. One area receiving limited attention is the role of organisational communication in NPD. The authors of this study address this oversight in undertaking a multiple case study analysis of internal and external communication in NPD processes in biotechnology. The resultant framework for communication in NPD in biotechnology companies combines both structural and processual elements of communication. The authors found that the process of communication in NPD is essentially an information seeking and uncertainty reduction activity that occurs through both the internal and external environments of the firm. The framework is a hybrid of cross-functional, decision stage and network models.

scholarly journals Big Data and Data Driven Marketing in Brazil

2018 ◽  
Author(s):  
Vítor Finger ◽  
Valesca Reichelt ◽  
João Capelli
Keyword(s):  
Big Data ◽  
Multiple Case Study ◽  
Marketing Strategies ◽  
Data Driven ◽  
Case Study Method ◽  
Structured Interviews ◽  
Multiple Case ◽  
Study Unit

The main purpose of this article is the understanding of which marketing strategies related to big data are being implemented by Brazilian companies in different sectors, in addition to assessing these actions within an already established construct. To reach the proposed objectives, an exploratory, qualitative research was conducted using the multiple case study method. Thus, data were collected through bibliographical, documentary and semi-structured interviews, with the intent of formulating the construct by which the companies are studied. The study unit interviewed consisted of market professionals and big data specialists. As the main result, it was widely noticed the application of strategies related to big data by the companies surveyed. The classification of these actions within an already established construct, however, was not possible, since it was understood the existence of distinct stages of adoption for this technology, and it was not possible to label these companies as users of big data.

Sign in / Sign up

Export Citation Format

Share Document