Innovation and Export Competitiveness: Evidence from Georgia Firms

Sikharulidze, D. N.; Kikutadze, Vasil

doi:10.26417/ejes.v8i1.p131-137

Cited by 7 publications

(4 citation statements)

References 12 publications

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“…Nevertheless, there is evidence supporting the important role of process innovation. For example, Sikharulidze and Kikutadze (2017) conclude that the introduction of both types of innovation is an important driver of export intensity, although they still outlined the higher contribution of product innovation. In another study, Rodríguez and Rodríguez (2005) determined that product and process innovation were altogether significant drivers of export intensity.…”

Section: H2 Strategic Commitment To Environmental Issues Is Positivel...mentioning

confidence: 99%

Environmental commitment and innovation as catalysts for export performance in family firms

Haddoud

Onjewu

Nowiński

2021

Technological Forecasting and Social Change

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Section: H2 Strategic Commitment To Environmental Issues Is Positivel...mentioning

confidence: 99%

Environmental commitment and innovation as catalysts for export performance in family firms

Haddoud

Onjewu

Nowiński

2021

Technological Forecasting and Social Change

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“…They then find that their successful exporting experience supports further innovation through R&D investment (Guarascio et al, 2016;Ke et al, 2020). Sikharulidze and Kikutadze (2017) also emphasize the significant role that R&D investment plays in developing new products, which, in turn, enhances export performance and competitiveness. All of these findings underscore the significance of the interactive relationship between R&D intensity and foreign sales for firm performance.…”

Section: Interactive Significance Of Research and Development And Exp...mentioning

confidence: 90%

Synergistic effect of R&D and exports on performance in US manufacturing industries: high-tech vs low-tech

Lee

Kwon

2021

JM2

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Purpose This study aims to explore the strategic impact of R&D and export activity on the diverse dimensions of US manufacturing firms’ performance. It also explores, using a predictive analytic model, the interactive synergistic effect that R&D and exports have on firm performance. Design/methodology/approach This study presents an innovative two-stage regression-neural network approach. Complementing conventional statistical analysis, the predictive backpropagation neural network explores the relative impact of R&D and exports and their synergistic effect on firm performance. Findings This study demonstrates the significant and positive effect of R&D and export strategy/activity on the economic performance of leading US manufacturing firms, particularly on their market-based performance (i.e. sustained growth rate or SGR). Furthermore, this study finds that the synergistic effect of R&D and exports on short-term performance (i.e. return on investment) is positive in high-tech firms but negative in low-tech firms. However, the synergistic effect on SGR is increasingly positive regardless of the level of technology. Originality/value In addition to traditional statistical analysis, this study uniquely investigates the relative importance of selected strategic variables, along with R&D and export activity and their differential synergistic effects, for firms’ economic performance in contrasting industry settings (high-tech vs low-tech).

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“…advertising, R&D and exports) at varying capability levels. Earlier studies investigated the joint effects of advertising and R&D (Askenazy et al, 2016;Doloreux et al, 2018;Hsiao et al, 2021;Hughes et al, 2018;Kwon et al, 2022b;Peng et al, 2018); R&D and exports (Baldwin et al, 2016;D'Angeloa et al, 2020;Sikharulidze and Kikutadze, 2017); and exports and advertising, or marketing in general (Hultman et al, 2011;Jindal, 2020;Lee and Kwon, 2021;Makrini, 2017;Morales et al, 2019;Zhang and Zhu, 2016). Despite diverse views and differing results in various empirical settings, most of these studies were devoted to testing hypothetical statements, with the effects confined within a linear or curvilinear format, with the rare exception of nonparametric approaches (Kwon et al, 2022b;Lee and Kwon, 2021).…”

Section: Theoretical Implicationsmentioning

confidence: 99%

Complex interplay of R&D, advertising and exports in USA manufacturing firms: differential effects of capabilities

Kwon,

Lee,

Brennan

2024

BIJ

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PurposeThis study aims to explore the dynamic interplay of key resources (i.e. research and development (R&D), advertising and exports) in affecting the performance of USA manufacturing firms. Specifically, the authors examine the dynamic impact of joint resources and predict differential effect scales contingent on firm capabilities.Design/methodology/approachThis study presents a combined multiple regression analysis (MRA)-multilayer perceptron (MLP) neural network modeling and investigates the complex interlinkage of capabilities, resources and performance. As an innovative approach, the MRA-MLP model investigates the effect of capabilities under the combinatory deployment of joint resources.FindingsThis study finds that the impact of joint resources and synergistic rents is not uniform but rather distinctive according to the combinatory conditions and that the pattern is further shaped by firm capabilities. Accordingly, besides signifying the contingent aspect of capabilities across a range of resource combinations, the result also shows that managerial sophistication in adaptive resource control is more than a managerial ethos.Practical implicationsThe proposed analytic process provides scientific decision support tools with control mechanisms with respect to deploying multiple resources and setting actionable goals, thereby presenting pragmatic benchmarking options to industry managers.Originality/valueUsing the theoretical underpinnings of the resource-based view (RBV) and resource orchestration, this study advances knowledge about the complex interaction of key resources by presenting a salient analytic process. The empirical design, which portrays holistic interaction patterns, adds to the uniqueness of this study of the complex interlinkages between capabilities, resources and shareholder value.

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Innovation and Export Competitiveness: Evidence from Georgia Firms

Cited by 7 publications

References 12 publications

Environmental commitment and innovation as catalysts for export performance in family firms

Environmental commitment and innovation as catalysts for export performance in family firms

Synergistic effect of R&D and exports on performance in US manufacturing industries: high-tech vs low-tech

Complex interplay of R&D, advertising and exports in USA manufacturing firms: differential effects of capabilities

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