International Journal of Innovation Science

Tang, Victor

2019 International Journal of Innovation Science

doi: 10.1108/ijis-06-2018-0062

The purpose of this paper is to present a fresh approach to stimulate individual creativity. It introduces a mathematical representation for creative ideas, six creativity operators and methods of matrix-algebra to evaluate, improve and stimulate creative ideas. Creativity begins with ideas to resolve a problem or tackle an opportunity. By definition, a creative idea must be simultaneously novel and useful. To inject analytic rigor into these concepts of creative ideas, the author introduces a feature-attribute matrix-construct to represent ideas, creativity operators that use ideas as operands and methods of matrix algebra. It is demonstrated that it is now possible to analytically and quantitatively evaluate the intensity of the variables that make an idea more, equal or less, creative than another. The six creativity operators are illustrated with detailed multi-disciplinary real-world examples. The mathematics and working principles of each creativity operator are discussed.Design/methodology/approachThe unit of analysis is ideas, not theory. Ideas are man-made artifacts. They are represented by an original feature-attribute matrix construct. Using matrix algebra, idea matrices can be manipulated to improve their creative intensity, which are now quantitatively measurable. Unlike atoms and cute rabbits, creative ideas, do not occur in nature. Only people can conceive and develop creative ideas for embodiment in physical, non-physical forms, or in a mix of both. For example, as widgets, abstract theorems, business processes, symphonies, organization structures, and so on. The feature-attribute matrix construct is used to represent novelty and usefulness. The multiplicative product of these two matrices forms the creativity matrix. Six creativity operators and matrix algebra are introduced to stimulate and measure creative ideas. Creativity operators use idea matrices as operands. Uses of the six operators are demonstrated using multi-disciplinary real-world examples. Metrics for novelty, usefulness and creativity are in ratio scales, grounded on the Weber–Fechner Law. This law is about persons’ ability to discern differences in the intensity of stimuli.FindingsIdeas are represented using feature-attribute matrices. This construct is used to represent novel, useful and creative ideas with more clarity and precision than before. Using matrices, it is shown how to unambiguously and clearly represent creative ideas endowed with novelty and usefulness. It is shown that using matrix algebra, on idea matrices, makes it possible to analyze multi-disciplinary, real-world cases of creative ideas, with clarity and discriminatory power, to uncover insights about novelty and usefulness. Idea-matrices and the methods of matrix algebra have strong explanatory and predictive power. Using of matrix algebra and eigenvalue analyses, of idea-matrices, it is demonstrated how to quantitatively rank ideas, features and attributes of creative ideas. Matrix methods operationalize and quantitatively measure creativity, novelty and usefulness. The specific elementary variables that characterize creativity, novelty and usefulness factors, can now be quantitatively ranked. Creativity, novelty and usefulness factors are not considered as monolithic, irreducible factors, vague “lumpy” qualitative factors, but as explicit sets of elementary, specific and measurable variables in ratio scales. This significantly improves the acuity and discriminatory power in the analyses of creative ideas. The feature-attribute matrix approach and its matrix operators are conceptually consistent and complementary with key extant theories engineering design and creativity.Originality/valueFirst to define and specify ideas as feature-attribute matrices. It is demonstrated that creative ideas, novel ideas and useful ideas can be analytically and unambiguously specified and measured for creativity. It is significant that verbose qualitative narratives will no longer be the exclusive means to specify creative ideas. Rather, qualitative narratives will be used to complement the matrix specifications of creative ideas. First to specify six creativity operators enabling matrix algebra to operate on idea-matrices as operands to generate new ideas. This capability informs and guides a person’s intuition. The myth and dependency, on non-repeatable or non-reproducible serendipity, flashes of “eureka” moments or divine inspiration, can now be vacated. Though their existence cannot be ruled out. First to specify matrix algebra and eigen-value methods of quantitative analyses of feature-attribute matrices to rank the importance of elementary variables that characterize factors of novelty, usefulness and creativity. Use of verbose qualitative narratives of novelty, usefulness and creativity as monolithic “lumpy” factors can now be vacated. Such lumpy narratives risk being ambiguous, imprecise, unreliable and non-reproducible, Analytic and quantitative methods are more reliable and consistent. First to define and specify a method of “attacking the negatives” to systematically pinpoint the improvements of an idea’s novelty, usefulness and creativity. This procedure informs and methodically guides the improvements of deficient ideas.

Chang, Shu-Hao

2019 International Journal of Innovation Science

doi: 10.1108/ijis-03-2019-0030

As the university–industry collaboration (UIC) gradually attracts the attention of various national governments, the number of studies on UIC has increased substantially. Past UIC studies have mostly focused on investigating the incentives and the motivation for UIC, forms of UIC and performance output of UIC. However, they have not actively identified the key technologies and technology distribution that are conductive to the commercialization of UIC outcomes. Therefore, this study aims to adopt the licensed UIC patents as the basis for analysis and to construct a patent licensing technology network.Design/methodology/approachThis study focused on licensed patents because past studies have indicated that such patents usually have higher value. Moreover, patent licensing can be seen as the final step for the commercialization of UIC outcomes. Finally, past studies have rarely explored patent examiners’ views on key technologies. However, during the substantive examination of patents, patent examiners often use their background knowledge regarding the technology to include citations to other patented technologies that they consider valuable or indispensable. Therefore, this study focused on investigating the patents recognized and cited by patent examiners and conducted key technology identification.FindingsThe results indicated that past key technologies in UIC focused on surveying, medicine, biochemistry and electric digital data processing; these fields are crucial to the commercialization of key UIC technologies. Finally, the USA, Japan, Sweden and Germany play critical roles in the network of global university–industry cooperation and technology licensing.Originality/valuePatent examiners’ perspectives were adopted to establish a patent licensing technology network, through which the key technologies that could promote UIC patent licensing were mined. This study can also serve as a reference for resource allocation in university research and development and for governments to promote new technologies.

Shi, Jia-lu; Lai, Wen-hsiang

2019 International Journal of Innovation Science

doi: 10.1108/ijis-05-2019-0048

Over recent decades, talent agglomeration has emerged as a critical topic for scholars, businesses and government officers. Innovative ability is a core competition for high-tech talents. In China, low innovation is the bottleneck, as the high-tech industry usually cannot provide sufficient support for the continuous needs of innovative talents. To enhance the continuous support of talents, it is important to obtain the mechanisms of talent evaluation and flow in high-tech industry. Exploring the incentive factors influencing the scientific and technological personnel, adjust the layout of talents and promote the rational agglomeration. It’s significant to realize the regional economic development.Design/methodology/approachThis study proposes an assessment model using the multi-criteria decision-making method of analytical hierarchy process (AHP) to determine the weights of incentive factors and a nonlinear programing model, from micro, meso and macro perspectives of individual, organizational and social incentives by adopting Maslow’s hierarchy of needs theory, Kurt Lewin’s field theory and Lee’s push-pull theory. After the literature review and interviews with 14 experts, this study produced a research framework and a pairwise comparison questionnaire. In addition, the relative quantitative weights of 3 main categories and 15 indicators are identified and ranked based on the AHP method.FindingsThe results demonstrate that the most important dimension is the individual, and the top three highest weighted factors are job satisfaction, sense of working accomplishment and interpersonal relationships. The discussion in this study showed that the proposed model is rational and acceptable to motivate high-tech innovation talent (HTIT) agglomeration for high-tech enterprises, universities, government and start-ups.Research limitations/implicationsThe pairwise comparison using the AHP method is limited to expert opinions, which are considered comparatively subjective. The number of incentive factors should be increased, as some indicators may have been omitted from the AHP model.Practical implicationsAccording to the results, some suggestions can be recommended to corporate executives, HR managers and government officers to attract and retain high-tech talents and further to improve industrial clusters and economic development.Originality/valueThis paper derives a relative ranking of importance based on the opinions of experienced HR specialists, high-tech talent, scholars and government official, and assesses the consistency of results. The ordering represents the importance of indicators and sub-indicators of two levels from respondents’ perspectives in an industry cluster background. The study, focusing on the high-tech industry in China (which is a developing country), offers a unique view, as earlier studies mainly collect data from developed countries.

Hosseinikhah Choshaly, Sahar

2019 International Journal of Innovation Science

doi: 10.1108/ijis-04-2019-0038

This paper aims to make use of the innovation diffusion theory to predict the purchase intention for eco-labeled products.Design/methodology/approachData are collected from 180 individuals in the Mid Valley shopping mall area in Malaysia. It is then analyzed using SPSS and Smart PLS. The measurement model is analyzed using composite reliability, convergent and discriminate validity, while the structural model is used to predict the relationships between variables.FindingsResults indicate that the relative advantage, trialability and observability are positively related to eco-labeled products purchase intention, while the complexity is negatively related to eco-labeled products purchase intention. However, compatibility is not positively related to eco-labeled products purchase intention.Practical implicationsMarketers should enhance the observability of eco-labeled as it is the most influential attribute affecting eco-labeled products purchase intention. Relative advantages of eco-labeled products are also important to stimulate purchase intention. Marketers could best relate the innovation to context-specific use situations enabling consumers to evaluate the use consequences of the innovation, and therefore, may assess its particular benefits.Originality/valueIt explores the potential of a theoretical framework based on innovation diffusion theory to explain eco-labeled products purchase intention.

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

2019 International Journal of Innovation Science

doi: 10.1108/ijis-07-2019-0068

Previous work has asserted that the co-innovation process in the music business is composed of four stages, i.e. co-discovery, co-creation, co-delivery and co-capture. This study aims to re-examine and validate this proposed conceptualisation by gathering and interviewing additional respondents, specifically academics and professional event organisers, who were not formerly involved. By gaining more insight from different stakeholders, this study expects to gain more reliable results regarding the proposed concept derived from the previous study.Design/methodology/approachThis study uses the case study method by carrying out qualitative interview data collection from 11 respondents. Narrative analysis is used in examining the findings. Pattern matching is used as the basis of the analysis using the proposed conceptualisation from co-discovery to co-capture of co-innovation as the rival analysis to the empirical findings discovered in this study. This paper also discusses how the validity and reliability of the qualitative analysis carried out are ensured.FindingsThis study supports the notion that the co-innovation process in the music industry follows the four stages of co-discovery, co-creation, co-delivery and co-capture. The respondents, from different professional backgrounds, interviewed in this study indicated and validated that the proposed framework aligns with their actual practices, expectations and realities, along with their specific roles in the music industry’s ecosystems.Practical implicationsThe results of this study can be used as a reference in developing guidelines or policies for co-innovation practices in the music business, which previous studies have not explored, e.g. focusing only on preconditions for positive collaboration, open license and music for co-creation or discussions that are merely conceptual.Originality/valueThis study validates the co-innovation process in the music business proposed by the previous works, which integrates the value chain thinking concept within the analysis.

Guimaraes, Tor; Paranjape, Ketan

2019 International Journal of Innovation Science

doi: 10.1108/ijis-07-2018-0072

This study aims to test the moderating impact of competition intensity on the relationships between the new product development (NPD) success factors and company success in NPD.Design/methodology/approachA mailed questionnaire collected information from 311 manufacturing companies to test the proposed model with moderated multivariate regression analysis.FindingsThe results corroborate the impact of competition intensity on the relationships between the success factors individually and company success performing NPD.Research limitations/implicationsDespite the relatively broad scope of the proposed model, other success factors and/or moderating and mediating variables may also be important. As such, these variables should be identified and tested in future studies.Practical implicationsIn practice, competition is viewed as an unavoidable factor beyond the control of managers within a company. Undeniably, competition is a great stimulant for business innovation. Thus, it is important for managers to understand the need, to focus attention managing the success factors most important to increase the likelihood of long-term success for NPD projects, particularly in markets under intense competition.Originality/valueWhile the study is grounded on well-established literature, its major constructs originated from relatively isolated areas of knowledge. The major contribution is empirically testing an integrated model for variables considered important for success in NPD and the moderating effect of intense competition.