Innovation Management Techniques: A Strategic Tool for SMEs in an Innovative Region

Bakouros, Yiannis; Samara, Elpida

doi:10.1260/1757-2223.2.2.81

Cited by 4 publications

(4 citation statements)

References 4 publications

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“…There are hundreds of methods directed to technology forecast, addressed to different objectives (Firat et al, 2008;Bakouros and Samara, 2010;Porter, 2010). Achieving these objectives involves resorting to a variety of procedures, with different approaches (sometimes complimentary).…”

Section: Types and Methods Of Technology Forecastmentioning

confidence: 99%

“…Because of this dynamic, impacts occur on methods that organizations use to foresee and forecast technology. Thus, it is important to differentiate the concepts associated with the terms technology foresight, technology forecast and technology assessmentfor Bakouros and Samara (2010), all of them are legitimate innovation tools. According to Porter et al (2004):…”

Section: Theoretical Framework 21 Eras Of Technology Foresightmentioning

confidence: 99%

“…Indeed, the technology forecast is important for innovation science (Bakouros and Samara, 2010). Nowadays, the technological forecast is one of the prominent topics of technology management, valuable for all industries (Sossa et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

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Technology forecast: a case study in Daiken company

Sartori

Reis

Bronzeri

et al. 2020

IJIS

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Purpose This paper aims to describe how the technology forecast process occurs at a technology-based company named Daiken, a Brazilian electronics industry, located in the state of Parana. The study helps to clarify the context that tech-companies in Brazil face when trying to forecast new technologies. Design/methodology/approach The paper opted for a case study, in a qualitative and descriptive approach. Primary data were collected through a semi-structured interview and non-participant observation. Secondary data were generated through documentary research. Findings Outcomes indicate that, for the studied case, technology forecast practices are adopted in an informal and unsystematic way, best aligned to the nature of competitive intelligence. Research limitations/implications Because of the chosen research approach, the results may lack generalizability. Therefore, researchers are encouraged to test the propositions further. Practical implications The paper includes implications for the adjustment of technology forecast tools to the reality seen in emergent nations like Brazil. Originality/value This paper fulfills an identified need to study how to conduct the technology forecast processes in small and mid-tech-companies in Brazil.

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Section: Types and Methods Of Technology Forecastmentioning

confidence: 99%

Section: Theoretical Framework 21 Eras Of Technology Foresightmentioning

confidence: 99%

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Technology forecast: a case study in Daiken company

Sartori

Reis

Bronzeri

et al. 2020

IJIS

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“…Thought has been given to innovation management and innovation governance in relation to traditional corporate management structures (Harrington and Voehl, 2012, 2013) with Skalkos (2012), Badrinas and Vilà (2015), Aoun and Hasnan (2013) and Bakouros and Samara (2010)) being examples of recent thinking in innovation management. Deschamps (2012) defines innovation governance as mechanisms to establish goals, define roles, identify decision-making processes and authorities, measure innovation success and allocate resources.…”

Section: Literaturementioning

confidence: 99%

Innovation assurance using BACUP and Jobs Theory

Fulbright

2017

IJIS

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Purpose Companies and organizations use various innovation governance structures, processes and metrics to make decisions about allocation of resources to the development of an innovative idea. Although many metrics measuring the process of innovation and the performance of the enterprise have been developed, a fundamentally solid and complete metric speaking to the quality and viability of the innovative idea itself is lacking. The business, applied innovation, creativity, unmet user needs and problem-solving (BACUP) model of innovation quality is proposed as such a metric based on viewing innovation from the five different viewpoints mentioned in its definition. BACUP is shown to facilitate discussion and analysis in innovation theory and is proposed as a tool allowing any innovation governance structure to achieve innovation assurance by mitigating risk and uncertainty and maximizing an innovation’s chance for success. Design/methodology/approach The BACUP framework was inspired by researching definitions of innovation and coming upon a survey in which different definitions were obtained from several different roles in companies and organizations. To use BACUP as a metric, the author and research assistants made qualitative judgments about innovations. Several judgments were obtained independently and consensus was plotted on the BACUP graphs. Findings BACUP can be used to illustrate and discuss major concepts in innovation theory. BACUP can be used to compare the relative viability of different innovative ideas. BACUP can be used to detect vulnerabilities in innovative ideas and provide information to innovation management and governance so that corrective measures can be taken. BACUP can be extended by other researchers and practitioners. Research limitations/implications In its current form, BACUP is not a quantitative tool; however, the authors envision other researchers applying existing quantitative tools and incorporating them into the BACUP framework. Practical implications BACUP is an innovative idea quality metric employable in any existing innovation management/governance structure or methodology. BACUP also gives practitioners a way to engineer innovative ideas into successful innovations. Social implications BACUP can lead to predictable and repeatable improved innovation outcomes, resulting in superior solutions to problems in all domains. Originality/value The BACUP framework is a novel, multi-dimensional view of innovation. Application of BACUP as a metric yields a new type of capability for innovation governance called innovation assurance.

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