An Exploration of the Influence of Innovations on Organizational Performance: A Dynamic Capabilities Perspective

Aristides Matopoulos () and Emel Aktas ()
Additional contact information
Aristides Matopoulos: Aston University
Emel Aktas: Cranfield University, Cranfield School of Management

A chapter in New Perspectives in Operations Research and Management Science, 2022, pp 233-260 from Springer

Abstract: Abstract This research explores the impact of dynamic innovation capabilities on firm performance, investigating how alliances and networks improve the focal firm’s capabilities. We examine four innovation capabilities and their effect on profitability, performance, and growth of companies in the food industry. Drawing on the extant literature on innovation and dynamic capabilities theory, we develop six hypotheses to explain the relationship between different innovation capabilities and firm performance. We test the proposed research model and hypotheses using partial least squares structural equation modeling (PLS-SEM) with primary data from the food industry in Greece. Results indicate that dynamic innovation capabilities play a crucial role in improving profitability, growth, and overall firm performance through ordinary innovation capabilities. This study provides critical insights into innovation capabilities in the food industry. These insights are significant because prior studies have not investigated the relative effects of different innovation capabilities on profitability, growth, and overall firm performance, particularly the interrelationships between dynamic and ordinary innovation capabilities. The generalization of the study results may be limited due to the sample size.

Keywords: Innovation; Dynamic Capabilities; PLS-SEM; Food industry; Greece (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-030-91851-4_9

Ordering information: This item can be ordered from
http://www.springer.com/9783030918514

DOI: 10.1007/978-3-030-91851-4_9

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().