Role of production in fostering innovation

Eum, Wonsub; Lee, Jeong‐Dong

doi:10.1016/j.technovation.2019.02.002

Cited by 11 publications

(11 citation statements)

References 40 publications

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“…a a i and b a i are the adjustment coefficient of satisfaction function. satisfactory and dissatisfaction of CR i represented by CS i and DS i respectively [43], which can can be calculated by Eqs ( 5) and (6).…”

Section: Methodsmentioning

confidence: 99%

“…Scholars research on product innovation from a large number of perspectives. Eum et al [6] connect production and innovation show that production advantages play an important role in technological innovation and product innovation. Dangelico et al [7] study green product innovation based on the dynamic capability perspective of sustainable development.…”

Section: Introductionmentioning

confidence: 99%

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Determining the critical factors of air-conditioning innovation using an integrated model of fuzzy Kano-QFD during the COVID-19 pandemic: The perspective of air purification

Wei-ming

et al. 2021

PLoS ONE

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At present, people are demanding better indoor air quality during the COVID-19 pandemic. In addition to maintaining the basic functions, new air-conditioning should also add air purification functions to improve indoor air quality and reduce the possibility of virus transmission. Nowadays, there is lack of research results on the innovation of air-conditioning. The aim of this study is to present a two-stage mathematical model for identifying critical manufacturing factors in the innovation process of air conditioning. In this paper, Kano and quality function deployment (QFD) are used to analyze the critical factors affecting air-conditioning innovation. Some studies have proposed using Kano-QFD model to analyze product innovation, but the study only studies one stage, which loses the analysis of the subsequent stages of product innovation. Based on this, this paper studies the priority method of two-stage critical factors for air-conditioning innovation. Firstly, the questionnaire survey and fuzzy sets are used to collect demand information of multi-agent (customers and professional technicians). Secondly, the Kano model is used to classify and calculate satisfaction of multi-agent. Then, QFD is used to transform multi-agent demands into engineering property indexes (first stage) and technical property indexes (second stage) and calculate the weight of each index. Finally, the applicability and superiority of this method is illustrated by taking the central air-conditioning as an example.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Determining the critical factors of air-conditioning innovation using an integrated model of fuzzy Kano-QFD during the COVID-19 pandemic: The perspective of air purification

Wei-ming

et al. 2021

PLoS ONE

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“…Industrial development and learning are inseparable (Balland & Rigby, 2017; Lall, 2000; Soete, 1985), and paths of diversification and economic activities depend on technical learning and knowledge (Feldman & Audretsch, 1999; Nepelski & De Prato, 2020). More recent studies have also pointed out that successful learning from the production experience eventually leads to innovation (Berger, 2013; Eum & Lee, 2019; Locke & Wellhausen, 2014; Pisano & Shih, 2012). However, there are differences in learning‐based diversification patterns depending on countries’ income level.…”

Section: Previous Literaturementioning

confidence: 99%

Alternative paths of diversification for developing countries

Eum

Lee

2022

Review Development Economics

Self Cite

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This study analyzes different diversification options of countries at different economic stages, and complements the previous diversification literature from the perspective of coevolution between production and technological capability. This study points out that path dependence theories concerning diversification patterns of countries cannot give useful policy implications to developing countries, because they can only take either the "high-risk high-return" or "low-risk low-return" tracks. The analysis includes 84 countries from 1980 to 2005, and studies the close relationship between product space and knowledge space to understand the alternative drivers of product and technological diversification. The results show that countries at different income levels have different factors of diversification. Specifically, production capability of developing countries guides future technological diversification, and technological capability of developed countries leads to product diversification in related products.

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“…Consequently, TC is seen as a continuum from two levels of the routine production capability (the basic and the extra basic ones) to the subsequent four levels of innovative TC (basic, intermediate, high intermediate and advanced). As a result, advancement in TC produces different innovative outcomes (Eum and Lee, 2019).…”

Section: Technological Capability Absorptive Capacity and Cluster Organizationsmentioning

confidence: 99%

“…The literature on TC accumulation also emphasizes that the capability usually takes a tacit form, thus, spreading it among organizations, evolving or transmitting may face obstacles (Eum and Lee, 2019). On the other hand, the clustering literature emphasizes the role of clusters in supporting technological improvements and innovations of firms in clusters due to learning that takes a tacit form (Hansen and Lema, 2019) or, in other words, “learning-by-interacting” (Caniëls and Romijn, 2003; Romijn and Albaladejo, 2002).…”

Section: Technological Capability Absorptive Capacity and Cluster Organizationsmentioning

confidence: 99%

Technological capability dynamics through cluster organizations

Rozkwitalska

2020

BJM

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PurposeThe purpose of the paper is to portrait how members of cluster organizations (COs) perceive the role of COs in enabling them to accumulate technological capability (TC) significant for their innovation.Design/methodology/approachThe authors report the findings from their qualitative study based on an analysis of four COs. The organizational inertia and absorptive capacity theories are the theoretical underpinning of the research.FindingsThe study shows that the dynamics of TC of the cluster companies included in the study sample relates to their initial level of TC and cluster cooperation. The companies with relatively low initial TC increase it through COs if the clusters offer comparatively high benefits. On the other hand, those COs' members that present relatively high initial TC advance it, provided that the external knowledge and other benefits they can absorb in their clusters are suited to their technological trajectories.Research limitations/implicationsThe research is preliminary in nature and portrays how firms with different levels of TC cooperate within COs and how this cooperation translates into TC improvements. The findings add to the state-of-the-art knowledge on the link between TC and absorptive capacity of companies involved in COs by depicting the role of COs in providing knowledge and other cluster benefits that help cluster companies to accumulate TC and improve their absorptive capacity. Nevertheless, the applied methodology does not allow the authors to generalize the findings.Practical implicationsThe coordinators of COs should skillfully shape the levels of cluster cooperation, matching them to the desired level of the cluster companies. They should create smaller subgroups composed of companies with similar TC, which may translate into its higher dynamic.Originality/valueThe knowledge about the role of COs in providing cluster benefits that help cluster companies to accumulate TC and improve their absorptive capacity is still insufficient. The study shed new light on the key role of the levels of cluster cooperation and the types of commitment related to them (i.e. technological effort), which may be a matter of importance in the dynamics of TC accumulation.

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Role of production in fostering innovation

Cited by 11 publications

References 40 publications

Determining the critical factors of air-conditioning innovation using an integrated model of fuzzy Kano-QFD during the COVID-19 pandemic: The perspective of air purification

Determining the critical factors of air-conditioning innovation using an integrated model of fuzzy Kano-QFD during the COVID-19 pandemic: The perspective of air purification

Alternative paths of diversification for developing countries

Technological capability dynamics through cluster organizations

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