International Journal of Innovation Science

Düştegör, Dilek; Elhussein, Mariam A.; Alghamdi, Amani; Nagy, Naya

2018 International Journal of Innovation Science

doi: 10.1108/ijis-09-2017-0100

This study aims to investigate how a very particular learning environment, namely, partition rooms, affect students’ teaching experience and further explore if students’ learning styles is a pertinent determinant. Partition rooms are very common in Saudi Arabia when lectures are held by male instructors for female students. The male instructor delivers his lesson behind a glass wall, creating an environment of limited visual and auditory interaction. Various digital tools are present, meant to overcome the gap caused by the lack of direct student–teacher contact.Design/methodology/approachThe researchers collected data from a sample of 109 female students who are studying at Level 4 Computer Science Department, College of Computer Sciences and Information Technology, at a public university in Saudi Arabia. All of them experienced a minimum of two courses undertaken in a partition room. The survey consists of two parts with a total of 53 questions. The first 20 questions were adopted from the perceptual learning style preference questionnaire (PLSP).FindingsResearch findings reveal that students are affected differently by the various dimensions of the partition room depending on their learning style.Originality/valueThere are fewer results in the literature that study learners of our particular group, namely, Saudi females. The study focuses on students studying IT and related fields. This study is almost unique, as most studies of the kind are related to the experience of females learning English as a foreign language. Therefore, the authors’ research gives much-needed insight into the conditions and perceptions of female students studying toward their degree in a technical field.

Saragih, Harriman Samuel; Simatupang, Togar Mangihut; Sunitiyoso, Yos

2018 International Journal of Innovation Science

doi: 10.1108/ijis-07-2017-0065

This study aims to present a state-of-the-art review pertaining to the topic of multi-actor innovation in the music industry. Because of the changing nature of the marketing paradigm from product dominant to service dominant, as well as the emerging paradigm of open, collaborative and co-innovation, this study attempts to integrate and map the previous papers that have examined the concept of multi-actor innovation in the context of the music industry.Design/methodology/approachA systematic review is carried out to produce the analysis. Various scholarly articles from well-known databases are taken into considerations in this study. These papers are then classified based on the types of innovation, category and sub-category of innovation, value capture and value creation, as well as its general characteristics. This classification is primarily aimed at mapping the development of previous studies in the current field and examining the current research gaps to propose future research agendas.FindingsPrevious researchers have shown that innovation concepts have been developed into various streams, namely, closed, open, collaborative and co-innovation. In addition to this point, the debates regarding the consumers’ roles in the market have pinpointed that innovation also calls for more participative forms rather than isolated. Nevertheless, discussions that pertain to open, collaborative and co-innovation in the context of the music business, have still been lacking and, therefore, demand more explanations.Originality/valueThis study is the first to present the topic of multi-actor innovation in the music business to the scholarly literature. Based on the review carried out in this study, scholars that are particularly interested in the field of open, collaborative and co-innovation within the context of the music industry can comprehend the development of previous discussions and, therefore, justify future research agendas.

Fiorineschi, Lorenzo; Frillici, Francesco Saverio; Gregori, Giovanni; Rotini, Federico

2018 International Journal of Innovation Science

doi: 10.1108/ijis-09-2017-0099

This paper aims to provide suggestions for the identification of potential new applications for the existing products and/or technologies.Design/methodology/approachA nine-step method has been developed for extracting information about a product or technology, processing the international patent database (IPD) and extracting useful hints for potential new applications. An academic case study has been used to perform the first application of the proposal.FindingsA novel approach for processing IPD aimed at supporting the identification of new opportunities for exploiting existing products/technologies. The case study application shows that the proposal allows to extract potentially useful and non-obvious suggestions for new product applications.Research limitations/implicationsAlthough some limits inevitably affect this preliminary version of the proposal, important hints for future developments have been inferred for a more comprehensive exploitation of both the firm internal knowledge and the suggestions provided by the international patent database.Practical implicationsThe achieved results can support firms in expanding market opportunities for their products or technologies.Originality/valueThe proposed approach offers a new structured path for stimulating idea generation for new product applications, by exploiting product information and the cooperative patent classification.

Datta, Partha Priya

2018 International Journal of Innovation Science

doi: 10.1108/ijis-07-2016-0016

This paper aims to explore the implementation of an innovation in an executive education programme in the context of the Indian manufacturing industry. This paper presents an understanding of a conceptual framework for delivering a unique manufacturing leadership programme, explaining the different linkages between government, industry and academia for changing the mindset of participants and growth of a nation by developing highly skilful employees to lead India’s manufacturing industry.Design/methodology/approachThe paper reports a single case study of an innovative manufacturing leadership development programme. Primary data were obtained from focus group studies and interviews. Documentary evidence in the form of reports, student work, course curriculum and meeting minutes was studied. The individual participants in the programme are used as units of analysis to explore systems of innovation, at individual levels. The analysis was carried out by applying theoretical models to explain the design, delivery and development of the programme over the years.FindingsThe findings from this research are an exploration of factors for sustaining the value of a system of innovation with special focus on a subsystem of knowledge creation and competence building. Institutional change is found to be a key input to the innovation process in terms of a collaborative mindset between three different academic institutes well known in different areas of expertise. Building an innovative coordination mechanism and curriculum combining academics with practical learning helped in changing the mindset of the students and faculty of the programme. This is linked to the development of country through leadership development by mindset change in mentors and students. The findings show that the studied programme has grown in terms of creating demand (in the form of increased applicants), guaranteeing 100 per cent placement with an average 50 per cent increase in salary and accelerated career in terms of role in the organisation. This was possible through continuous improvement practices for making local changes to the programme from time to time and building a community of practice in collaboration with industry.Originality/valueThe value of this research lies in highlighting the importance of international cooperation in speeding up the process of transferring management and technological knowledge from academia to industry. The framework developed for implementing a system of learning for creating a national system of innovation in manufacturing can be generalised to develop more such programmes in emerging nations for addressing skill challenges to lead future innovative projects.

Ferasso, Marcos; Wunsch Takahashi, Adriana R.; Prado Gimenez, Fernando A.

2018 International Journal of Innovation Science

doi: 10.1108/ijis-07-2017-0059

This metasynthesis aims to build a theory on the concept of innovation ecosystem from the state of the art of qualitative case studies available in indexed scientific production using interpretive synthesis (Hoon, 2013).Design/methodology/approachThis research was conducted by the postulates of the metasynthesis method (Hoon, 2013) to generate theory from qualitative case studies. The authors retrieved 77 research papers from databases, of which 6 were used for synthesis purposes. Each selected research paper reported one or more cases, which were analyzed separately. At the final stage, a data synthesis was structured and the cases were crossed, which allowed the development of a schematic representation and a theoretical construction of the innovation ecosystem concept. The approach used in this research is a metatheoretical assumption from economics and management and ecology to explore the theoretical gap in the concept of innovation ecosystems.FindingsThere is not yet a conceptual consensus on the term, which sometimes leads researchers to address partial or complementary concepts. The analysis identified constitutive elements of an innovation ecosystem that lead to structuring a framework of organic and dynamic interrelationships that a given organization has with various external organizations, allowing the creation of innovative products in a faster way.Research limitations/implicationsThis paper helps scholars and researchers consider a new metatheoretical perspective to analyze dynamics, constitutive elements and multilevels of an innovation ecosystem.Practical implicationsFor practitioners, this paper sheds lights on the importance of recognizing a systemic consideration of innovation ecosystems that falls in global relationships, industry dynamics and identification of main global–local actors/enablers to produce innovations internally at a given organization.Originality/valueThe novelty of this paper lies in a more delineated definition and a schematic representation of an innovation ecosystem based on a global–local perspective of product creation and manufacturing and interactions that a given company has, regardless of the geographical location of its dispersed strategic partners.

Kitsios, Fotis; Kamariotou, Maria

2018 International Journal of Innovation Science

doi: 10.1108/ijis-06-2017-0055

In terms of entrepreneurship, open data benefits include economic growth, innovation, empowerment and new or improved products and services. Hackathons encourage the development of new applications using open data and the creation of startups based on these applications. Researchers focus on factors that affect nascent entrepreneurs’ decision to create a startup but researches in the field of open data hackathons have not been fully investigated yet. This paper aims to suggest a model that incorporates factors that affect the decision of establishing a startup by developers who have participated in open data hackathons.Design/methodology/approachIn total, 70 papers were examined and analyzed using a three-phased literature review methodology, which was suggested by Webster and Watson (2002). These surveys investigated several factors that affect a nascent entrepreneur to create a startup.FindingsEventually, by identifying the motivations for developers to participate in a hackathon, and understanding the benefits of the use of open data, researchers will be able to elaborate the proposed model and evaluate if the contest has contributed to the decision of establish a startup and what factors affect the decision to establish a startup apply to open data developers, and if the participants of the contest agree with these factors.Originality/valueThe paper expands the scope of open data research on entrepreneurship field, stating the need for more research to be conducted regarding the open data in entrepreneurship through hackathons.