Innovation in times of crisis: a systematic literature review
Substantiation of innovativeness of firms in times of crisis and identification of factors that can restrain or stimulate the innovative activity of companies. Ways to improve the effectiveness of innovation during the crisis, the main strategies at the l
Рубрика | Менеджмент и трудовые отношения |
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Язык | английский |
Дата добавления | 03.05.2023 |
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Innovation in times of crisis: a systematic literature review
R. Smara
Abstract
Today the world faces significant economic and financial crises, which have drawn firms into high levels of uncertainty and directly influences their innovation strategies. The literature on organizational decline reveals a lack of agreement about the effects of decline on innovation. This study aims to shed light on how economic crisis affects innovation and to provide a comprehensive picture of the innovation constraints and determinants with a focus on environmental factors. To add to the extant knowledge in the area of innovativeness in crisis, a systematic literature review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses was conducted. 70 conceptual and empirical research articles published in the period 2000-2021 from highly ranked journals according to the Association of Business Schools rating were reviewed. The article presents three identified patterns related to a firm's innovation behaviour in crisis: аcyclical behaviour in which most of companies reduce their costs and become more unwilling to engage in innovation activities, a neutral behaviour with a view to keep the status quo, and a counter-cyclical behaviour when companies tend to boost their innovation activities. The three innovation behaviours are contingent on several factors that hamper innovation. Furthermore, the findings suggest that innovation positively affects the performance of firms in the context of crisis and this impact is contingent upon the level of environmental turbulence. This review contributes to the extant knowledge on the adaptation of firms to adverse environments. The study offers a nuanced understanding of the main innovation strategies to respond to the economic downturn at the firm and country level, highlights benefits of innovation in highly turbulent settings and gives a detailed description of factors that play an important role in counteracting the negative effect of crisis on firms' investment in innovations.
Keywords: innovation, innovativeness, crisis, R&D, innovative ambidexterity, systematic review.
Аннотация
Инновации в период кризиса: систематический обзор литературы
Р. Смара
В настоящее время мир сталкивается с серьезными экономическими и финансовыми кризисами, ведущими к возрастанию неопределенности бизнес-среды, что оказывает прямое воздействие на стратегии фирм в отношении инновационности. При этом в научной литературе нет согласованной позиции в отношении влияния кризиса на инновации. Цель данной статьи - систематизировать имеющиеся знания об инновационности фирм в кризисные периоды и идентифицировать факторы, способные сдерживать или стимулировать инновационную деятельность компаний. Исследование основано на систематическом обзоре литературы по протоколу PRISMA. Для анализа было отобрано 70 эмпирических и концептуальных статей, опубликованных в высокорейтинговых журналах списка Ассоциации бизнес-школ в 2000-2021 гг. В результате были выявлены три подхода к организации инновационной деятельности фирм в условиях кризиса: циклический, при котором большинство компаний сокращают свои расходы и становятся менее склонными к инновациям; нейтральный, направленный на сохранение статус-кво; контрциклический, когда компании стремятся активизировать свою инновационную деятельность. В работе рассмотрены факторы, от которых зависит применение указанных подходов. Кроме того, анализ литературы показал, что инновации положительно влияют на результативность компаний в условиях кризиса, а взаимосвязь между инновационными стратегиями и успешностью бизнеса зависит от уровня турбулентности внешней среды. Обзор вносит вклад в литературу об адаптации фирм к неблагоприятным условиям. В частности, рассмотрены вопросы повышения эффективности инноваций во время кризиса, уточнены основные инновационные стратегии на уровне компаний и стран в период экономического спада, определены преимущества инноваций в нестабильных условиях и описаны факторы, противодействующие негативному влиянию кризиса на инвестиции фирм в инновации.
Ключевые слова: инновация, инновационность, кризис, исследования и разработки, инновационная амбидекстрия, систематический обзор.
Main part
In his seminal article, J.A. Schumpeter [Schumpeter, 1939] emphasizes that innovation is an essential factor in the long-term success of firms and it lies at the very heart of the economic evolution. Since that time, this topic has attracted a great deal of attention [Damanpour, 1987; Subramanian, Nilakanta, 1996; Prajogo, Ahmed, 2006; Schot, Steinmueller, 2018]. Innovations can be classified into three categories: 1) product innovations (changes in product by providing a new good or service [Howells, 2000]); 2) process innovations (change in production processes by implementing new methods
This research has been conducted with financial support from the Russian Science Foundation grant (project No. 21-78-10024, http://rscf.ru/project/21-78-10024).of organization and combination of inputs in the production process [Berchicci, Tucci, Zazzara, 2014]); and 3) organizational innovations (provision of a new or improved organization of resources within the company [Brancati et al., 2021]).
Based on this, we generally refer to two distinct innovation activities of a company: product innovation, which generally refers to a new product that is introduced on the market and used, and process innovation, which refers to new processes introduced in an organization in order to improve the quality of the product, to enhance the production methods or to lower the production costs [Berchicci, Tucci, Zazzara, 2014]. Following M. Benner and M. Tushman, it is possible to classify these types of innovations into two categories: exploratory innovations, which are radical innovations aimed to satisfy the needs of customers or emerging markets, and exploitative innovations, which are incremental innovations aimed to meet the requirements of existing customers or markets [Benner, Tushman, 2003]. The notion of ambidexterity has been emphasized in most studies [Gibson, Birkinshaw, 2004; He, Wong, 2004] which assert that organizations must become ambidextrous and develop exploratory and exploitative innovation capabilities across different organizational units [Tushman, O'Reilly, 1996; Benner, Tushman, 2003].
The world today faces considerable economic and financial crises, which create high levels of uncertainty. The 2008 financial crisis was broad, deep, and long [Archibugi, 2017], making business opportunities less precise [Archibugi, Filippetti, Frenz, 2013b] and generating significant downward shifts in demand levels [Cerrato, Alessandri, Depperu, 2016]. The ongoing COVID-19 pandemic has reached almost every country in the world and became the second-largest global recession in history, followed by rising geopolitical tensions. Companies have been greatly impacted by the drop in demand for goods and services, as well as supply disruptions [Krammer, 2022]. Due to high levels of turbulence and instability in crisis environments, firms are forced to cope with these changes [Grewal, Tansuhaj, 2001], changing strategy and behaviors to be able to survive and avoid deteriorating performance [McKinley, Latham, Braun, 2014].
In response to a crisis, the behavioural theory of the firm suggests risk-seeking behaviour and strategic changes firms engage in to restore an adequate performance level. On the other hand, the theory of threat rigidity argues that if performance is so low to threaten survival, firms may become risk-averse, refrain from any strategic change, and emphasize cost reductions and resource-saving [Colombo et al., 2016]. The ability of the firm to manage and adopt behavior and strategy that assist leaders in turning crisis-induced changes into opportunities is critical for organizational outcomes [Wenzel, Stanske, Lieberman, 2020; Klein, Todesco, 2021].
Severe recessions are primarily characterized by a significant decline in demand. Experts recognize that negative demand shocks affect investment [Filippetti, Archibugi, 2011; Armand, Mendi, 2018], and the lower profits experienced during recessions are expected to limit the ability of firms to invest in innovation [Madrid-Guijarro, Garcia - Perez-de-Lema, Van Auken, 2013]. The Schumpeterian tradition, centered on investment in innovations, asserts that economic growth is conditioned by attempts to introduce new products and processes to the market, while in an unfavourable economic context investments are likely to be reduced [Freeman, Clark, Soete, 1982].
A number of studies highlight a significant effect of increased innovation expenditures on economic growth [Dobrzanski, 2018], while the fall in aggregate expenditure leads to a reduction in the proportion of companies investing in innovation [Armand, Mendi, 2018]. Following D. Archibugi and colleagues, «innovation related investment is captured in a wide sense, incorporating not only expenditures on in-house R&D but also technology embodied in the purchase of machinery, equipment and software, licenced - in technology (patents or other know-how), training of staff in support of innovation, and expenditures on design of products, process and services» [Archibugi, Filippetti, Frenz, 2013b, p. 1250].
Crisis response is a growing field because crises represent both threats and opportunities for companies; therefore, companies are searching for novel models of strategic behavior aimed at overcoming threats to maintain competitiveness and seek new opportunities [Krammer, 2022]. There are various types of firm behaviour in crisis and decline [McKinley, Latham, Braun, 2014]: responding with existing resources to ensure shortterm survival or investing in innovative activities to build capacity to ensure long-term survival [Lavie, Stettner, Tushman, 2010]. Conceptual and empirical research has been conducted to shed light on the strategies to be implemented in periods of crisis [Klyver, Nielsen, 2021; Krammer, 2022]. A strategy of innovation proves to be effective during times of crisis and helps create optimistic prospects for the future [Klyver, Nielsen, 2021]. In addition, a recent study by S. Krammer [Krammer, 2022] found that innovators, especially younger one, are more likely to adapt to COVID-19 than non-innovators.
A large and growing body of literature has investigated the impact of the economic downturn on innovation, innovation related expenditures, and on investment in innovation projects [Filippetti, Archibugi, 2011; Paunov, 2012; Archibugi, Filippetti, Frenz, 2013b]. Detailed examination of innovation investments showed that the crisis sharply reduced the number of firms willing to increase their innovation investments from 38% to 9% [Archibugi, Filippetti, Frenz, 2013b]. In another major study [Archibugi, Filippetti, Frenz, 2013a], the authors found that the crisis led to a concentration of innovative activities within a few new firms and those already highly innovative before the crisis. Furthermore, in [Paunov, 2012] it was found that in response to the global financial crisis, one out of four companies has halted its innovation investment projects.
It has been argued that the effects of the economic downturn on innovation are not the same across companies and countries [Filippetti, Archibugi, 2011], some companies will continue to invest in innovation during a recession, others will not [Archibugi, Filippetti, Frenz., 2013a; 2013b]. Considering period of crisis, top managers, owners and policy makers need to understand the factors able to neutralize the effect of the economic slowdown on investment in innovation [Filippetti, Archibugi, 2011; Manez et al., 2014; Amore, 2015], and understand all the aspects that influence the persistence of innovative activities [Antonioli, Montresor, 2021]. Some firms have survived over the crisis and emerge as winners; they conduct innovation and increase their investment in spite of the adverse macroeconomic environment [Archibugi, Filippetti, Frenz, 2013a]. This article sheds the light on the key characteristics of these companies. The question of how firms react and respond to crises by adapting their innovation strategies remains relevant. This study therefore sets out to identify the type of innovation, which persists in times of crisis as well as the emphases of managerial attention in an economic downturn. To date, there has been significant advancement in understanding the performance implications of innovation and the impact of the external environment on innovativeness and performance [Jansen, Van Den Bosch, Volberda, 2006; Osiyevskyy, Shirokova, Ritala, 2020]; this study attempts to identify how certain environmental factors shape innovation-performance relationship.
For this context, this study followed a systematic review strategy. It provides a comprehensive and clear overview of the literature on a given topic and identifies gaps in our current understanding of a field. Furthermore, it can be explained as a search method or process to identify and appraise relevant research, as well as for collecting and analyzing data from prior research, by identifying empirical evidence that fits the pre-specified inclusion and exclusion criteria allowed to answer particular research questions using explicit and systematic methods when reviewing articles and all available evidence [Snyder, 2019].
This paper reviews and integrates the existing literature on innovation in times of crisis according to the Preferred Reporting Items for Systematic Reviews and MetaAnalyses (PRISMA) to develop a research framework which unites determinants, moderators, and outcomes of innovation in times of crisis. The reason for choosing PRISMA over other existing protocols is its comprehensiveness and its ability to increase consistency between reviews [Liberati et al., 2009]. The main objectives are to explore the behaviour of firms in their ability to maintain and advance innovative activities, to examine the barriers and determinants of innovation investment in times of crisis, to provide a comprehensive picture of the determinants of innovation persistence, and to understand how firms may respond when a new economic downturn occurs. This review provides insights into four important research questions.
RQ1. What is the impact of economic crises on innovation and investments in future innovation projects?
RQ2. Which factors determine the organizational tendency to engage or not in innovation activities during crisis? And which type of innovation persists in times of crisis?
RQ3. What are the factors that may offset the effect of the economic downturn on innovation? And what can make innovation work better in times of crisis?
RQ4. To what extent does innovation contribute to improving firms' performance during an economic downturn?
After searching for appropriate keywords, the relevance was assessed by checking abstract and deep reading of articles, and then the quality of papers was evaluated by focusing on peer reviewed and high quality journals. 70 papers were generated that focused on innovation in a crisis environment. This study compiled papers from highly ranked journals according to the Chartered Association of Business Schools (ABS) list published during the period 2000-2020.
The literature review results allowed identifying three patterns related to the innovation behaviour of a firm when the environment undergoes abrupt changes. These include retrenchment behaviour in which most firms react by reducing their investment in innovation, downsizing innovation related expenditures, preserving behaviour by maintaining innovation activities and continuing projects and commitment behaviour in which few companies seem willing to exploit the crisis situation by investing more in innovation, increasing their innovation activities and expanding their innovative related expenditures [Paunov, 2012; Archibugi, Filippetti, Frenz, 2013a; 2013b; Armand, Mendi, 2018].
The behaviour towards reducing investment in innovation depends on various factors that hinder innovation, such as financial constraints [Mazzucato, 2013; Manez et al., 2014; Lee, Sameen, Cowling, 2015], lack of knowledge [Lichtenthaler, 2009; Zouaghi, Sanchez, Martinez, 2018], specific characteristics of the firm [Archibugi, Filippetti, Frenz, 2013b; Antonioli, Montresor, 2021], weakness of the national innovation system [Filippetti, Archibugi, 2011; Umemura, 2014; Kapetaniou, Samdanis, Lee, 2018], and market constraints [Gang, Choi, 2019]. The development of the financial system, the skills and quality of human resources, a robust national innovation system, and an R&D department seems to be the main factors neutralizing the effect of the crisis on firms' innovation investments. In addition, international alliances can be an effective method to make innovation a dominant model when a crisis occurs. The study results suggest that, in general, innovation positively affects firm performance in a crisis context and that this relationship is contingent on the level of environmental disruption.
This paper is organized as follows. The methodology for the literature review is presented in the first section. Then, in the second section, a description of the general characteristics of the reviewed studies follows. In the third section, themes related to the topic are identified. The fourth section contains discussion, theoretical and practical implications, future research directions. The fifth section concludes.
The approach followed in this study is a systematic literature review, which identifies and extracts relevant information about the area of interest from all published research and evaluates a large body of literature [Tranfield, Denyer, Smart, 2003]. The review had the following objectives namely: 1) to analyze relevant articles identified on innovation in times of crisis; 2) to develop an integrative framework for a comprehensive understanding of innovation research in the context of the crisis; 3) to identify critical gaps in the literature and suggest directions for future research.
A systematic review is conceived to summarize evidence accurately and reliably and analyze the quality of published peer-reviewed journal articles according to the PRISMA [Liberati et al., 2009]. Following A. Liberati and co-authors [Liberati et al., 2009], a systematic review is intended to gather evidence in an accurate and reliable manner and to analyze the quality of articles published in peer-reviewed journals. Sample identification, selection, eligibility assessment and analysis of studies included in the review are the four phases of the PRISMA protocol.
To conduct this literature review, four steps will be followed: 1) development of inclusion and exclusion criteria to select studies; 2) identification of relevant and quality studies; 3) assessment of relevant literature; 4) presentation of results.
Establishment of inclusion and exclusion criteria. Table 1 lists the inclusion and exclusion criteria used to select and evaluate studies included in our systematic review.
Table 1. Inclusion and exclusion criteria
Criterion |
Rationale of criterion |
||
Articles related to the concept of innovation in period of recession |
The relevant concept for the study |
||
Articles published between 2000 and 2021 |
To encompass all recent crises |
||
Articles in the English language |
The language in which the main scholarly business journals are published |
||
Inclusion criterion |
All types of articles (empirical as well as conceptual/theoretical) were included in this review |
Broad approaches and methodologies lead to exhaustive systematic review |
|
Web of Science database |
The indexing of the most recognized management journals (e.g., all ABS list journals, Financial Times list - FT50, and ABDC list) WoS is one of the most comprehensive sources of management |
||
Theses, books, book chapters, working papers and conference proceedings were excluded |
Journal articles in well-established journals undergo a serious peer-review, while everything else might not |
||
Exclusion criterion |
Professional journals were excluded |
Only academic journals considered because of their more rigorous selection procedures |
|
No ABS ranked and below ABS 3 |
Providing a higher quality standard to meet the rigorous peer-review process |
Sample identification. The search strategy and sample identification involved three separate search activities, namely: 1) appropriate keyword search; 2) relevance assessment; 3) quality assessment.
Appropriate keywords. This study conducted the data search by mining the largest multidisciplinary database of peer-reviewed research literature - Web of Science. This database is a scientific tool growing in significance across countries and knowledge domains and is exploited in published research and scientific articles [Li, Rollins, Yan, 2018]. The search string was formed by regrouping chosen keywords into two categories. The first category covers terms to represent innovation activities, and the second category is composed of keywords referring to the economic crisis. The relevant keywords for this review are presented in Table 2.
Table 2. Search string
Category |
Keyword |
|
Innovation |
«innovat*» OR «R&D» OR «explorat*» OR «exploitat*» OR «Ambidexterity» |
|
Economic crisis |
«financial crisis» OR «downturn» OR «recession» OR «in times of crisis» OR «in a context of crisis» OR «environmental jolt» |
|
Search String: 7 457 articles |
(«innovat*» OR «R&D» OR «explorat*» OR «exploitat*» OR «Ambidexterity») AND («financial crisis» OR «downturn» OR «recession» OR «in times of crisis» OR «in a context of crisis» OR «environmental jolt») |
Notes: the use of quotation marks implies the search for an exact phrase in a search engine; the use of * symbol at the end of a word implies that the words having to root the whole character of this symbol will be identified in research
The keywords were searched in titles, abstracts, and/or keyword sections. This search identified 7 457 articles. Appropriate journals were screened and the search period was ultimately limited based on inclusion and exclusion criteria. In total, 2 044 articles were identified, as shown in Figure 1.
Assessing relevance. A first sorting of article titles and abstracts excluded articles that did not explicitly addressed innovation in times of crisis. As a result, 165 articles were subjected to further reading, which resulted in the exclusion of eight working papers. After these two steps, the resulting sample consisted of 157 articles.
Assessing quality. Even if an article is relevant, it does not mean it is of high quality. For this particular reason, this study have opted to focus on high quality peer-reviewed journals. The journal rankings criteria were applied according to the ABS Academic Journal Guide and this study only included the top journals ranked 4*, 4, and 3 to generate high-quality articles. This procedure yielded 70 articles for inclusion in the systematic review (Figure 2).
Figure 1. Identification of inclusion criteria
Figure 2. Flow chart of the study selection process
innovation crisis strategy
Distribution of sample articles by publication year and outlet. Table 3 lists the 70 selected articles published in 26 academic journals covering the fields of economics, entrepreneurship, marketing, management and international business. The diversification of publications suggests that innovation in times of crisis is a transdisciplinary research area that attracts researchers from different fields. The journals that publish the most articles are Journal of Business Research (12 articles), Research Policy (10), Industrial and Corporate Change (9) and Technological Forecasting and Social Change (5 articles).
Academic journal |
Source |
Number of articles |
|
Journal of Business Research |
[Hausman, Johnston, 2014; Makkonen et al., 2014; Petrakis, Kostis, Valsamis, 2015; Martin-Rios, Parga-Dans, 2016; Malik et al., 2019; Martinez, 2019; Ngo et al., 2019; Battisti et al., 2019; Brem, Nylund, Viardot, 2020; Osiyevskyy, Shirokova, Ritala, 2020; Ebersberger, Kuckertz, 2021; Weaven et al., 2021] |
12 |
|
Research Policy |
[Flippeti, Archibugi, 2011; Paunov, 2012; Archibugi, Filippetti, Frenz, 2013a; Makkonen, 2013; Amore, 2015; Brautzsch et al., 2015; Hud, Hussinger, 2015; Lee, Sameen, Cowling, 2015; Archibugi, 2017; Armand, Mendi, 2018] |
10 |
|
Industrial and Corporate Change |
[Mazzucato, 2013; Berchicci, Tucci, Zazzara, 2014; Manez et al., 2014; Walrave et al., 2017; Ahn, Mortara, Minshall, 2018; Brancati et al., 2018; D'Agostino, Moreno, 2018; Cefis, Marsili, 2019; Giebel, Kraft, 2019] |
9 |
|
Technological Forecasting and Social Change |
[Sharif, 2012; Archibigu, Filippetti, Frenz, 2013b; Papadopoulos et al., 2013; Jung, Hwang, Kim, 2018; Kapetaniou, Samdanis, Lee, 2018; Zouaghi, Sanchez, Martinez, 2018] |
6 |
|
Journal of Small Business Management |
[Madrid-Guijarro, Garcia-Perez-de-Lema, Van Auken, 2013; Xia, Dimov, 2019] |
2 |
|
Small Business Economics |
[Brancati, 2015; Antonioli, Montresor, 2021; Brancati et al., 2021] |
3 |
|
Long Range Planning |
Fan, Rao-Nicholson, Su, 2020; Iborra, Safon, Dolz, 2020; Colombo et al., 2021] |
3 |
|
R&D Management |
[Martin-Rios, Pasamar, 2018; Dimitropoulos, 2020] |
2 |
|
Journal of Product Innovation Management |
[Schole, Skiera, Tellis, 2014; Cooper, 2021] |
2 |
|
Journal of Banking&Finance |
[Beck et al., 2016; Giebel, Kraf, 2020] |
2 |
|
Industry and Innovation |
[Colombo, 2016; Busom, Velez-Ospina, 2021] |
2 |
|
International Journal of Human Resource Management |
[Zagelmeyer, Heckmann, Kettner, 2012; Hansen, Guttel, Swart, 2019] |
2 |
|
Technovation |
[Kramme, 2021; Yamashita, 2021] |
2 |
|
Academy of Management Review |
[McKinley, Latham, Braun, 2014] |
1 |
|
Academy of Management Journal |
[Lichtenthaler, 2009] |
1 |
|
Management Science |
[Jansen, Van Den Bosch, Volberda, 2006] |
1 |
|
Journal of Monetary Economics |
[Argente, Lee, Moreira, 2018] |
1 |
|
Strategic Entrepreneurship Journal |
[Knudsen, Lien, 2015] |
1 |
|
Journal of Financial Intermediation |
[Brown, Petersen, 2015] |
1 |
|
Business History |
[Umemura, 2014] |
1 |
|
Journal of Common Market Studies |
[Archibugi, Filippetti, 2011] |
1 |
|
Industrial Marketing Management |
[Naidoo, 2010] |
1 |
|
Journal of Economic Behaviour &Organization |
[Nemlioglu, Mallick, 2020] |
1 |
|
Technology Analysis& Strategic Management |
[Gang, Choi, 2019] |
1 |
|
European Financial Management |
[Nemlioglu, Mallick, 2017] |
1 |
|
Management International Review |
[Ghauri, Park, 2012] |
1 |
|
Total |
70 |
Figure 3 summarizes the distribution of articles by year of publication. It reveals that the rate of published articles dealing with innovation in times of crisis has increased remarkably since 2010, peaking in 2019 with ten published articles.
After the great recession of 2008, interest in innovation has increased significantly and currently, with the COVID-19 pandemic, scholars are looking for innovation as a critical strategy.
Figure 3. Distribution of articles by years of publication
Distribution of articles by crisis type. The financial crisis of 2008, which is also referred to as the «global financial crisis» (GFC), led to a severe global economic recession. It has been called the most severe financial crisis since the Great Depression. Table 4 lists how the selected articles were distributed according to the different crisis types. 48 of 63 empirical studies focus on the global financial crisis. The COVID-19 impacted businesses worldwide and also began to generate significant academic interest in many disciplines.
Table 4. Published articles based crisis
Type of crisis |
Year |
Number of articles |
|
Three downturns of the US economy |
1980, 1990 and 2001 |
1 |
|
Japan's economic crisis |
1991 |
1 |
|
Asian financial crisis |
1997 |
1 |
|
USA crisis |
1980, 1990, 2001 |
1 |
|
Indonesia crisis |
1997-1998 |
1 |
|
Global financial crisis |
2007-2008 |
48 |
|
Greek sovereign debt crisis |
2010 |
2 |
|
Sovereign debt crisis |
2013 |
1 |
|
Spanish financial crisis |
2008-2014 |
2 |
|
Russian crisis |
2014-2016 |
2 |
|
COVID-19 crisis |
2019-2021 |
3 |
Countries in the study focus. As shown in Table 5, the distribution of the selected empirical studies by country reveals that the most studied area is Europe, with 71.76% of the articles because the global economic crisis of 2008 generated a significant economic decline in Europe. However, this affected some states more than others [Kastrinos, 2013]. Europe is followed by Asia and Americas with 13.11% and 11.47% of the articles respectively.
Table 5. Distribution of the empirical publications by investigated countries, 2000-2021
Region |
Number of articles |
|
Australia |
1 |
|
China |
1 |
|
Europe |
12 |
|
Cyprus |
1 |
|
France |
1 |
|
Finland |
1 |
|
Germany |
6 |
|
Greece |
2 |
|
India |
1 |
|
Israel |
1 |
|
Italy |
7 |
|
Japan |
1 |
|
Korea |
2 |
|
South America |
1 |
|
Norway |
1 |
|
Netherlands |
1 |
|
New Zealand |
1 |
|
Russia |
1 |
|
Spain |
9 |
|
Switzerland |
1 |
|
United Kingdom |
4 |
|
United States |
6 |
|
Vietnam |
1 |
|
Total |
63 |
Note: Europe - 45 publications (71.43%); Asia - 8 (12.7%); North and South America - 7 (11.11%); others - 3 publications 4.76%.
Distribution of articles by type of methodology. The distribution of articles by type of research design shows that 91.04% are empirical studies and 8.95% are conceptual ones (Table 6). Regression analysis is the statistical method widely used to explain the impact of the crisis on innovation [Archibugi, Filippetti, Frenz, 2013a; 2013b; Madrid - Guijarro, Garcia-Perez-de-Lema, Van Auken, 2013; Berchcci et al., 2014; Giebel, Kraft, 2019] and impact of the financial crisis on innovative performance [Zouaghi, Sanchez, Martinez, 2018]. However, time-series data would provide deeper insights to assess the impact of the investment in innovation before, during, and after the crisis.
Table 6. Distribution of analytical techniques in empirical articles
Methodology |
Technical analysis |
Number of articles |
Percentage |
||
Qualitative |
Case study |
6 |
6 |
8.57 |
|
Structural equation modeling (SEM) |
2 |
||||
Hierarchical regression |
1 |
||||
Multiple linear regression (OLS) |
15 |
||||
Fixed effect estimation method |
4 |
||||
Logistic regression |
2 |
||||
Probit regression |
8 |
||||
System Generalized Method of Moments (GMM) regression analysis |
3 |
||||
Competing risk model (CRM) |
1 |
||||
Quantitative |
Tobit regression |
1 |
55 |
78.57 |
|
Cox proportional hazard model |
3 |
||||
Heckman regression |
2 |
||||
Random-effects panel Tobit models |
4 |
||||
Logit regression |
2 |
||||
Poisson quasi maximum likelihood (QML) regression |
1 |
||||
Piece-wise exponential hazard model |
1 |
||||
Cluster analysis |
2 |
||||
Fuzzy clustering |
1 |
||||
Difference-in-difference (DID) estimations |
2 |
||||
Mixed |
Structural equation and case study |
1 |
2 |
2.86 |
|
Expert panel and case study |
1 |
||||
Conceptual |
7 |
10 |
|||
Total |
70 |
100 |
Recent research has used more complex statistical models to analyze the conditions that affect innovation during economic crises. For example, N. Lee with co-authors [Lee, Sameen, Cowling, 2015] attempted to answer whether the sources of funding for innovative firms changed during a crisis by using Heckman regression. For time-varying explanatory variables associated with event history data, the Cox proportional hazard model was employed by the studies [Jung, Hwang, Kim, 2018; Cefis, Marsili, 2019; Martinez et al., 2019]. A conceptual model linking market orientation, marketing innovation, competitive advantage, and firm survival was tested using structural equation modelling [Naidoo, 2010]. Structural equation modelling was also employed to understand how technological and market turbulence moderates the effect of learning on innovation and performance through absorptive capacity [Lichtenthaler, 2009].
Innovation/crisis theoretical foundations. In his theory of business cycle, J.A. Schumpeter [Schumpeter, 1942] developed a theoretical framework in which the concept of innovation is introduced as a main driver of the cyclical evolution of the economy. He emphasized the importance of technological development and innovation policies for economic development. Recent papers have revisited Schumpeter and his innovation theory to provide valuable starting points for their work [Archibugi, Filippetti, Frenz, 2013a; 2013b; Brem, Nylund, Viardot, 2020]. The two models of innovation called «creative destruction» and «creative accumulation» are derived from the theory of Schumpeter, who suggested that business cycles are the consequence of innovation, and also that innovative activities and organizations are reshaped by economic crises.
Creative destruction characterizes a dynamic environment where new firms appear as the most significant innovators due to a significant discontinuity such as an economic downturn. On the other hand, creative accumulation is supported by a more stable routine of innovation, which highlights the cumulativeness and persistence of innovative activities in response to the crisis [Archibugi, Filippetti, Frenz, 2013a; 2013b; Brem, Nylund, Viardot, 2020]. With a focus on investment in innovation, the Schumpeterian tradition indicates that attempts to introduce new products and processes to the market can be the key determinant of economic growth. C. Freeman with co-authors [Freeman, Clark, Soete, 1982] took Schumpeter's insight further by arguing that in adverse economic environments, investment is likely to be reduced by low-profit margins [Filippetti, Archibugi, 2011].
In response to a crisis, the behavioural theory of the firm, suggests risk-seeking behaviour and the theory of threat rigidity, refrain from any strategic change [Colombo et al., 2016]. Previous studies have found that innovation has declined during the recent economic crisis, confirming the demand-driven model of innovation [Madrid-Guijarro, Garcia-Perez-de-Lema, Van Auken, 2013], where a decline in aggregate demand can influence the decision to invest in innovation [Armand, Mendi, 2018].
Transaction cost theory specifies that intangibility and specificity linked to the investments can be a barrier to the funding of innovation through debt, while agency theory implies that the high risk of innovative activities and the existence of information asymmetries are likely to restrict the availability of debt financing [Madrid-Guijarro, Garcia-Perez-de-Lema, Van Auken, 2013]. While a number of studies have found that the crisis caused the concentration of innovative activities in new companies and those that were already highly innovative, this approach confirms the behavioural theory of the firm, which suggests risk-seeking behaviour [Colombo et al., 2016] and the opportunity cost of innovation, which is explained by the fact that during a downturn, rents from a company's current activities decrease and companies are encouraged to introduce innovations [Berchicci, Tucci, Zazzara, 2014]. Other theoretical approaches have been applied to explain the innovation process and firm's outcomes in times of crisis. The most important theories adopted in the empirical studies are presented in Table 7.
Table 7. Main theories used in empirical studies
Theory |
Review's study using the theory |
Finding |
|
Schumpeter's Theory of Economics Development |
[Archibugi, Filippetti, Frenz, 2013a; 2013b; Makkonen, 2013; Mazzucato, 2013; Amore, 2015; Lee, Sameen, Cowling, 2015; Nemlioglu, Mallick, 2017; Jung, Hwang, Kim, 2018; Brem, Nylund, Viardot, 2020] |
Two major theories on the innovation process. The first, based on the notion of creative accumulation, is based on a stable innovation model highlighting the accumulation of knowledge and the persistency of innovative activities in the face of crisis. The second, creative destruction, depicts an environment where new firms appear to be the most significant innovators after a major discontinuity. Consistent with Schumpeterian theories of creative destruction, in which outdated products are replaced by new and better ones |
|
Schumpeterian growth theories and innovation growth view |
[Paunov, 2012; Makkonen, 2013; Brautzsch et al., 2015; Beck et al., 2016; Argente, Lee, Moreira, 2018] |
The rate of product reallocation is substantially influenced by the firms' innovation activities, as predicted by Schumpeterian growth theories, and has major repercussions for revenue growth and product quality improvements. Financial innovation is associated with higher bank growth |
|
Schumpeterian view of innovation-based competition |
[Brancati et al., 2021] |
Technology and product quality-related factors are far more important than cost-related aspects in explaining export performance |
|
Schumpeterian view of recessions |
[Busom, Velez Ospina, 2021] |
During recessions, the opportunity cost of profitability-improving R&D investments drops, relative to regular physical capital investments, offering incentives to ramp up these activities |
|
Inn ovation-fragility view |
[Becket al., 2016] |
Financial innovation is linked to a higher level of risk-taking on the part of banks. It considerably amplifies the volatility of banks' benefits, their fragility and their falls during a banking crisis |
|
Microeconomic theory of innovation and institution based view |
[Filippetti, Archibugi, 2011; Gang, Choi, 2019] |
The microeconomic theory of innovation from the neo-Schumpeterian literature, highlights the role played by institutions on economic activities |
|
Demand pull model of innovation |
[Madrid-Guijarro, Garcia-Perez-de-Lema, Van Auken, 2013; Lee, Sameen, Cowling, 2015; Brancati et al., 2021] |
Firms that embrace innovation will continue to bring new products and processes to meet changing consumer demand. When a major crisis strikes, one of the most serious threats to a company's viability is the collapse of aggregate demand. Lower demand might stimulate innovation by lowering the opportunity cost associated with the needed financial investment. Schmookler's «demand-pull» theory of innovative activity suggests that investment in innovation is significantly pro-cyclical |
|
Transaction cost |
[Madrid-Guijarro, Garcia-Perez-de-Lema, Van Auken, 2013] |
The intangibility and specificity associated with investments, according to transaction cost theory, maybe a barrier to enterprises funding innovation with debt |
|
Agency theory |
[Madrid-Guijarro, Garcia-Perez-de-Lema, Van Auken, 2013] |
According to agency theory, the risk exposure of innovative activities and the presence of information asymmetry should certainly limit debt funding availability |
|
Prospect theory |
[McKinley, Latham, Braun, 2014] |
Overall, the logic of prospect theory implies that managers who are experiencing conditions of organizational decline will be more risk seeking than those who are experiencing conditions of organizational growth. If risk seeking is conducive to innovation, organizational decline should be positively related to innovation |
|
Dynamic capabilities view |
[Lichtenthaler, 2009; Naidoo, 2010; Makkonen et al., 2014; Ahn, Mortara, Minshall, 2018; Martinez et al., 2019; Ngo et al., 2019; Iborra, Safon, Dolz, 2020; Nemlioglu, Mallick, 2020; Colombo et al., 2021; Weaven et al., 2021; Krammer, 2022] |
All forms of open approaches and a high level of openness are helpful for firms to acquire the dynamic capabilities necessary for good strategic adaptation. Ventures that used the two dynamic capabilities - new product development and internationalization - exhibited superior sales growth |
|
Organizational learning theory |
[Jansen, Van Den Bosch, Volberda, 2006; Lichtenthaler, 2009; Ghauri, Park, 2012; Knudsen, Lien, 2015; Petrakis, Kostis, Valsamis, 2015; Brancati et al., 2018; Battisti et al., 2019; Malik et al., 2019; Melnychuk, Schultz, Wirsich, 2021] |
Firms become more resilient in times of uncertainty and volatility as a result of their learning. Higher levels of learning orientation of leaders are highly linked to longterm, consistent performance |
|
Opportunity cost theory |
[Berchicci, Tucci, Zazzara, 2014; Manez et al., 2014; Hud; Hussinger, 2015; DAgostino, Moreno, 2018; Giebel, Kraft, 2020; Yamashita, 2021] |
When industrial activity slows down, companies allocate their resources to innovation activities - they create new products at the expense of new processes, thus making the link between the opportunity cost and the cash flow effect |
|
Equilibrium theory |
[Mazzucato, 2013; Brancati et al., 2018] |
Technology and innovation, in contrast to equilibrium theories, are viewed as disequilibrium processes that affect both company efficiency and demand through the generation and exploitation of new opportunities |
|
Resource-based view |
[Naidoo, 2010; Ghauri, Park, 2012; Zagelmeyer, Heckmann, Kettner, 2012; Knudsen, Lien, 2015; Cefis, Marsili, 2019; Xia, Dimov, 2019; Dimitropoulos, 2020; Weaven et al., 2021] |
The resource-based approach emphasizes the importance of valuable, scarce, difficult-to-replicate, and non-substitutable resources for longterm survival |
|
Behavioural theory |
[McKinley, Latham, Braun, 2014; Colombo et al., 2016] |
According to the behavioural theory of the firm, when performance does not reach aspirations, companies start looking for alternatives and change their strategies |
|
Threat-rigidity theory |
[Colombo et al., 2016; Walrave et al., 2017; Osiyevskyy, Shirokova, Ritala, 2020] |
Rigidity of threat theory argues that when performance is so poor that survival is threatened, firms may be unwilling to take risks |
|
The evolutionary theory of technological change |
[Makkonen et al., 2014; Antonioli, Montresor, 2021; Cefis, Marsili, 2019] |
In numerous innovation systems, persistence has been highlighted as one of the characteristics that highlights technical advancement and industrial evolution. The key driver of performance, according to the firm's evolutionary approach, is innovation |
|
Strategic adaptation theory |
[Martin-Rios, Pasamar, 2018] |
Strategic adaptation theory looks at how businesses adapt and renew themselves in the face of adversity and sees adaptation as indication that «firms have superior routines or efficient resource allocation procedures which account for competitiveness and, hence, survival» |
|
Human capital theory |
[Zagelmeyer, Heckmann, Kettner, 2012; Zouaghi, Sanchez, Martinez, 2018] |
Individual talents, knowledge, and capacities are significant resources and a major source of economic productivity, according to human capital theory |
|
Ambidexterity theory |
[Ngo et al, 2019] |
Ambidexterity theory suggests effective response strategies |
Through application of the resourced-based view of the firm, many researchers report that exploring and exploiting internal and external knowledge, accelerate innovation processes and facilitate superior outcomes [Lichtenthaler, 2009; Ahn, Mortara, Minshall, 2018; Brancati et al., 2018; Battisti et al., 2019; Cefis, Marsili, 2019]. Pursuing innovation (both open and closed) during the crisis is an effective way of enhancing its dynamic capability, enabling firms to have resilience power high enough to achieve a sustainable growth in the long term [Ahn, Mortara, Minshall, 2018]. Learning are related to firm innovation and, in turn, short-term performance [Battisti et al., 2019], and the evolutionary theory of the firm states that innovation is the main driver of performance [Makkonen et al., 2014].
Innovation in the face of crisis: emerging themes
Six themes were identified from an analysis of the selected articles, although many articles could be categorized under more than one theme. Table 8 shows the distribution of articles across the six themes.
Table 8. Thematic distribution of the literature
Theme |
Source |
Number of articles |
Percentage |
|
Investment in innovation in times of crisis |
[Archibugi, Filippetti, Frenz, 2013a; Madrid-Guijarro, Garcia-Perez-de-Lema, Van Auken, 2013; Makkonen, 2013; Berchicci, Tucci, Zazzara, 2014; Archibugi, 2017; Argente, Lee, Moreira, 2018; Armand, Mendi, 2018; Giebel, Kraft, 2019; Hansen, Guttel, Swart, 2019; Brem, Nylund, Viardot, 2020; Fan, Rao-Nicholson, Su, 2020; Ebersberger, Kuckertz, 2021; Yamashita, 2021] |
13 |
18.57 |
|
Barriers and factors able to offset the effect of the economic downturn on innovation investments |
[Filippetti, Archibugi, 2011; Ghauri, Park, 2012; Paunov, 2012; Zagelmeyer, Heckmann, Kettner, 2012; Mazzucato, 2013; Hud, Hussinger, 2015; Scholer, Skiera, Tellis, 2014; Umemura, 2014; Manez et al., 2014; Amore, 2015; Brancati, 2015; Brautzsch et al., 2015; Brown, Petersen, 2015; Knudse, Lien, 2015; Lee, Sameen, Cowling, 2015; Ahn, Mortara, Minshall, 2018; Brancati et al., 2018; DAgostino, Moreno, 2018; Kapetaniou, Samdanis, Lee, 2018; Zouaghi, Sanchez, Martinez, 2018; Antonioli, Montresor, 2021; Batisti et al., 2019; Gang, Choi, 2019; Martinez et al., 2019; Ngo et al., 2019; Giebel, Kraft, 2020; Nemlioglu, Mallick, 2020; Cooper, 2021; Brancati et al., 2021; Busom, Velez - Ospina, 2021; Krammer, 2022] |
31 |
44.28 |
|
Performance outcomes of innovation in highly turbulent settings |
[Jansen, Van Den Bosch, Volberda, 2006; Lichtenthaler, 2009; Naidoo, 2010; Paunov, 2012; Sharif, 2012; Hausman, Johnston, 2014; Makkonen et al., 2014; McKinley, Latham, Braun, 2014; Beck et al., 2016; Colombo et al., 2016; 2021; Martin-Rios, Parga-Dans, 2016; Nemlioglu, Mallick, 2017; Walrave et al., 2017; Ahn, Mortara, Minshall, 2018; Jung, Hwang, Kim, 2018; Martin-Rios, Pasamar, 2018; Cefis, Marsili, 2019; Malik et al., 2019; Ngo et al., 2019; Xia, Dimov, 2019; Dimitropoulos, 2020; Iborra, Safon, Dolz, 2020; Osiyevskyy, Shirokova, Ritala, 2020; Weaven et al., 2021] |
25 |
35.71 |
|
Type of innovation that persist in times of crisis |
[Jansen, Van Den Bosch, Volberda, 2006; Madrid - Guijarro, Garcia-Perez-de-Lema, Van Auken, 2013; Berchicci, Tucci, Zazzara, 2014; Knudsen, Lien, 2015; Walrave et al., 2017; Antonioli, Montresor, 2021; Cefis, Marsili, 2019; Malik et al., 2019; Xia, Dimov, 2019; Giebel, Kraft, 2020; Osiyevskyy, Shirokova, Ritala, 2020] |
11 |
15.71 |
|
Innovation outcomes |
[Amore, 2015; Colombo et al., 2016; Argente, Lee, Moreira, 2018; Jung, Hwang, Kim, 2018; Antonioli, Montresor, 2021; Brem, Nylund, Viardot, 2020; Nemlioglu, Mallick, 2020; Cooper, 2021] |
8 |
11.43 |
|
Crisis related moderators |
[Jansen, Van Den Bosch, Volberda, 2006; Lichtenthaler, 2009; Walrave et al., 2017; Zouaghi, Sanchez, Martinez, 2018; Martinez et al., 2019; Osiyevskyy, Shirokova, Ritala, 2020] |
6 |
8.57 |
The analysis reveals that approximately 44% of the papers examine the factors that may offset the effect of the economic recession on innovation investments, followed by the performance outcomes of innovation in highly turbulent settings (36%), approximately 18% consider the impact of economic downturns on innovation investment. Roughly 16% and 11% examine respectively the different types of innovation that persist in crisis and the different innovations outcomes created by pursuing these types. Furthermore, approximately 9% of the papers examine crisis related moderators. This section discusses more deeply the six themes identified in order to answer the research questions.
The impact of economic crises on innovation. Previous literature describes economic crisis as an extreme, unexpected, or unpredictable change in the external macroeconomic environment that negatively affects most economic agents, making business opportunities less certain, requiring an urgent response from firms [Archibugi, Filip - petti, Frenz, 2013b; Doern, Williams Vorley, 2019]. This study will examine the main findings of relevant articles devoted to firms' innovative behaviour in crisis (Table 9).
Table 9. Investment in innovation in times of crisis
Source |
Sample used |
Period |
Database |
Main conclusion |
|
[Archibugi, Filippetti, Frenz, 2013a] |
200 |
2006 2009 |
Innobarometer 2009 |
During the recession firms' innovation behaviour is closer to creative destruction, while before the recession there is an overall landscape of creative accumulation. The reduction in investment has not been uniform across companies and a few even increased their innovation expenditures. Before the crisis, incumbent enterprises are more likely to expand their innovation investment, while after the crisis a few, small enterprises and new entrants are ready to «swim against the stream» by expanding their innovative related expenditures |
|
[Filippetti, Archibugi, 2011] |
5 238 |
2005 2009 |
Innobarometer 2009; the European Innovation Scoreboard 2008 |
The effects of the economic downturn in terms of firms' innovation investment are not the same across European countries. Countries endowed with stronger national system of innovation (NSI) are less affected and are better able to respond to the recession |
|
[Paunov, 2012] |
1 223 |
2008 2009 |
The survey data used were collected under the direct guidance of the OECD Development Centre; survey data of Latin American firms |
The crisis led many firms to stop ongoing innovation projects. Firms with access to public funding were less likely to abandon these investments. Younger firms and businesses supplying foreign multinationals or suffering export shocks were more likely to do so. This might suggest that the global crisis had only minor effects on firms' innovation capacities |
|
[Archibugi, Filippetti, Frenz, 2013b] |
2 500 |
2002 2008 |
UK Community Innovation Survey |
The crisis led to a concentration of innovative activities within a small group of fast growing new firms and those firms already highly innovative before the crisis. The companies in pursuit of more explorative strategies towards new product and market developments are those to cope better with the crisis |
|
[Madrid- Guijarro, Garcia- Perez-de- Lema, Van Auken, 2013] |
716 |
2005 2009 |
Personal interviews with managers of small and medium manufacturing companies |
Innovation among Spanish manufacturing SMEs declined during the recent economic crisis. The results demonstrate the importance of adopting innovation into SMEs strategy over the business cycle |
|
[Brem, Nylund, Viardot, 2020] |
15 504 |
1980 2013 |
OECD REGPAT and OECD Citations databases |
There is a negative impact of the great financial crisis on innovation as measured by the emergence of dominant designs |
|
[Giebel, Kraft, 2019] |
616 |
2004 2012 |
IAB Establishment Panel |
Innovative firms using external sources for investment finance reduce their capital expenditures during the financial crisis to larger extent than: 1) non-innovative firms using external finance; 2) innovative firms not using external finance |
The review suggests that economic downturns have different effects on firms' innovation behaviour and investment:
1) reducing firms' innovation activities [Archibugi, Filippetti, 2011; Archibugi, Filippetti, Frenz, 2013a; 2013b; Madrid-Guijarro, Garcia-Perez-de-Lema, Van Auken, 2013; Giebel, Kraft, 2019; Brem, Nylund, Viardot, 2020]. To cope with the challenges that arise during a recession, some firms choose to reduce investments in innovation and R&D aimed at solving short-term problems, which is a common strategy to mitigate the negative effects of a recession, by reducing spending, especially capital and innovation spending [Archibugi, Filippetti, Frenz, 2013b];
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