Evidence of Innovation in Lithuanian Low-tech Sector: Case Study Analysis

Venckuviene, Vitalija; Pridotkienė, Jūratė; Laskienė, Daiva

doi:10.1016/j.sbspro.2014.11.185

Cited by 3 publications

(6 citation statements)

References 8 publications

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“…Finally, innovation and passion (IP) of supplier is also positively correlated with buyer's NPD because of the non-R&D innovation activities of suppliers. This is in line with literature that states SMEs' innovation and creativity are essentially based on non-R&D and patents activities (Venckuviene et al, 2014), as such innovations lead to quicker new product development and shorter production lead time.…”

Section: Discussionsupporting

confidence: 90%

“…Supplier innovation and passion are key factors influencing buyer-supplier relationships (Kang et al, 2010;Du et al, 2012). As a result of their limited size and resources, SMEs' innovation and creativity are essentially based on non-R&D and patents activities (Venckuviene et al, 2014). These low-tech producers' innovation is based on their creative ideas and activities resulting in changes or modifications in design and appearance or applications of products (Venckuviene et al, 2014).…”

Section: Supplier Innovation and Passion (Ip)mentioning

confidence: 99%

“…As a result of their limited size and resources, SMEs' innovation and creativity are essentially based on non-R&D and patents activities (Venckuviene et al, 2014). These low-tech producers' innovation is based on their creative ideas and activities resulting in changes or modifications in design and appearance or applications of products (Venckuviene et al, 2014). Due to FCGs' short life cycles and production lead time characteristics, small and medium enterprises' (SMEs') quick creative abilities for new and popular designs provide the critically important resources and expertise required to compete in today's highly dynamic market environment.…”

Section: Supplier Innovation and Passion (Ip)mentioning

confidence: 99%

“…Literature opined that innovation for low-tech exporters does not result from only R&D investment or numbers of patents, but also from their creative activities (Venckuviene et al, 2014).…”

Section: Research Setting and Data Collectionmentioning

confidence: 99%

See 3 more Smart Citations

Out-in, in-out buyer quality innovation pathways for new product outcome: Empirical evidence from the Chinese consumer goods industry

Subramanian

Gunasekaran

Abdulrahman

et al. 2019

International Journal of Production Economics

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In today's dynamic environment, quality innovation and new product development (NPD) are the key factors in gaining competitive advantage. However, the quality innovation process is a complex procedure, because it may combine internal and external resource requirements to meet customer expectations. This paper reviews two quality innovation pathways and their respective NPD performances based on the joint supplier-buyer relationship within the fast consumer goods (FCGs) industry. Specifically, we study buyers' quality innovation potential using 'out-in,' which is the identification of quality innovative suppliers, and 'in-out,' which is buyers' quality knowledge transfer ability to suppliers. Our dyadic data from both buyers and suppliers reveal that the supplier's innovation ability and passion is the dominating factor, irrespective of quality innovation pathways, in the context of the Chinese consumer goods industry. However, cooperative attitude and the cost reduction ability of suppliers are the differentiating factors.

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Section: Discussionsupporting

confidence: 90%

Section: Supplier Innovation and Passion (Ip)mentioning

confidence: 99%

Section: Supplier Innovation and Passion (Ip)mentioning

confidence: 99%

“…Literature opined that innovation for low-tech exporters does not result from only R&D investment or numbers of patents, but also from their creative activities (Venckuviene et al, 2014).…”

Section: Research Setting and Data Collectionmentioning

confidence: 99%

See 2 more Smart Citations

Out-in, in-out buyer quality innovation pathways for new product outcome: Empirical evidence from the Chinese consumer goods industry

Subramanian

Gunasekaran

Abdulrahman

et al. 2019

International Journal of Production Economics

View full text Add to dashboard Cite

show abstract

“…There are also human resources indicators such as the number of science and technology graduates and the number of researchers employed in R&D. It is one of the most important resources for economic growth and social development. Meanwhile, the scientific literature shows that investment in R&D and R&D personnel working in the field are the main indicators for the level of innovation (Venckuviene et al, 2014). Performance indicators, on the other hand, can be classified according to three parameters such as economic, technological and scientific (Nour, 2012).…”

Section: Sandt Input and Output Indicatorsmentioning

confidence: 99%

An Empirical Analysis about Technological Development and Innovation Indicators

Cavdar

Aydin

2015

Procedia - Social and Behavioral Sciences

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Researches on technological development and innovation indicators that are used as different criteria for measurement such as multivariate statistics methods have increased rapidly in the field of social sciences since 1990s. The concept of indicators is an interesting field of science, which are used to inform us about things that are difficult to measure. Indicators for technology development and innovation may be defined as statistics, which measure quantifiable aspects of technological development and innovation creation. In this research, indicators help us to describe technological development and innovation clearly and enable us to have a better understanding of the impact of policies and programs on technological development and innovation and on the society and the economy in general. The objective of the present paper is to examine whether technological development indicators, which are used as a proxy for economic growth, innovation and the development level of countries, are influenced by the used variables in this analysis. The study is conducted by using a very large data set. It covers a monthly time period of 1996 and 2011. The study includes a variety of variables such as research and development expenditure (RDE), high-technology exports (HTE), long-term unemployment (LTU), patent applications-residents (PA), patent applications-nonresidents (PAF), health expenditure (HE), GNI per capita (PPP), share of women employed in the non-agricultural sector (SWE), stocks traded (ST), internet users (IU), scientific and technical journal articles (STJ). The empirical results which were obtained by using MDS (Multidimensional Scaling) and HCA (Hierarchical Cluster Analysis) methods suggest that the variables of RDE, PA, HE, PPP, SWE, IU and STJ have significant impacts on technological development and innovation and should be reviewed all together.

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Risk analysis for innovative activities in production systems using product opportunity gap concept

Arabshahi

Fazlollahtabar

2019

TQM

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Purpose This paper presents a stepwise method for identification and analysis of innovative activities in production systems. The purpose of this paper is to provide a structure in order to propose the risk paradigms and factors corresponding to the innovative activities and evaluation of the impact of these activities on innovation decisions and investment. Design/methodology/approach The model used here is an analytical approach that evaluates the impact of innovative activities on innovation decision and investment using product opportunity gap (POG) concept. This framework is applied for innovative activities of Asian industrial field, and the risk of innovative activities is calculated by weighted risk analysis method. In this method, the risk weights and intensities are estimated by the average of experts’ opinions in interviews. Findings This implementation discovered some useful information being used by investors, innovators and policymakers for taking the best strategies and decisions in various innovation domains such as innovation management, risk management and innovation policy. The results of this study show that the product innovation is the most popular category of innovation that has occurred in Asian manufacturing industries, and the product innovation, marketing innovation and organizational innovation have the most influence on technology, economic and social changes intensity, respectively. Research limitations/implications This study analyzed the risk of innovative activities after their occurrence and because of different views of experts, there were diverse and sometimes contradictory analyses of innovative activities risk. Originality/value This paper links two separate and important sectors of innovation domain: innovation risk and innovation decision making and investment. POG plays the role of a bridge to connect the two mentioned sectors and shows how innovation causes the technological, economic and social changes. This paper also provides useful and practical information for innovation investors and decision makers to take the best decisions and to avoid the probable failures and losses.

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Evidence of Innovation in Lithuanian Low-tech Sector: Case Study Analysis

Cited by 3 publications

References 8 publications

Out-in, in-out buyer quality innovation pathways for new product outcome: Empirical evidence from the Chinese consumer goods industry

Out-in, in-out buyer quality innovation pathways for new product outcome: Empirical evidence from the Chinese consumer goods industry

An Empirical Analysis about Technological Development and Innovation Indicators

Risk analysis for innovative activities in production systems using product opportunity gap concept

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