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Cited by 267

The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.

Product innovation and firm performance in transition economies: A multi-stage estimation approach

Ramadani, Veland, Hisrich, Robert D., Abazi-Alili, Hyrije, Dana, Léo-Paul, Panthi, Laxman, Abazi-Bexheti, Lejla·2019·Technological Forecasting and Social Change

Abstract

Abstract Using Business Environment Enterprise Performance Surveys (BEEPS), this paper provides a multistage empirical analysis of product innovation and firm performance in transition economies (TEs). The Crepon-Duguet-Mairesse (CDM) model, a four-stage approach, is used to investigate the innovation-performance relationship. The multistage model allows studying the innovation activities of firms through multi-interrelated factors while controlling the issue of simultaneity and causality. The paper contributes to the research in this area by estimating the effect of innovation on performance through multistage equation modeling. It fills the gap in providing an understanding of factors that influence on product innovation - firm performance relationship in transition economies. This research is among the first to use product-only innovation to measure the impact of innovation on firms' performance. Findings indicate that product innovation has a positive impact on firm performance in transition economies, complemented by significant impact of specific control variables such as size, total labor cost, capital of the firm. Whereas age and competition from the informal sector, have a negative and significant effect on performance.

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Crossref · 10.1016/j.techfore.2018.12.010

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Metadata

Authors
Ramadani, V., Hisrich, R. D., Abazi-Alili, H., Dana, L.-P., Panthi, L., & Abazi-Bexheti, L.
Venue
Technological Forecasting and Social Change
Publisher
Elsevier BV
Published
2019-03
Volume
140
Pages
271-280
ISSN
0040-1625 (ISSN-L)
OpenAlex
W2904571575
Cited by
267
References
76
FWCI
28.21
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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