Zum Inhalt

Does the use of digital tools improve a firm’s performance?

  • Open Access
  • 02.03.2024
  • Review Paper
Erschienen in:

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Die globale Pandemie hat die Einführung digitaler Werkzeuge durch Unternehmen, insbesondere in den Bereichen Kommunikation und Geschäftstätigkeit, erheblich beeinflusst. Diese Studie, die auf einer Umfrage unter über 180.000 Unternehmen beruht, zeigt, dass 72% der Befragten während der Pandemie digitale Kommunikationsinstrumente einsetzten. Es wird erwartet, dass die Veränderungen in der Nutzung digitaler Werkzeuge dauerhaft sein werden, wobei E-Mail und Telefon / SMS die am häufigsten verwendeten Werkzeuge sind. Darüber hinaus zeigt die Analyse eine positive Korrelation zwischen der Digitalisierung und der Zunahme von Beschäftigung und Umsatz. Die Studie trägt zur wissenschaftlichen Literatur bei, indem sie die langfristigen Vorteile des digitalen Wandels, insbesondere im Kontext einer globalen Krise, belegt.

Supplementary Information

The online version contains supplementary material available at https://doi.org/10.1007/s11846-024-00750-4.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

1 Introduction

The global pandemic caused by COVID-19 still has a significant impact on the relationships established between different economic agents. In fact, the simultaneous supply and demand crises resulting from the restrictions on mobility and the long confinement to which the vast majority of countries were subjected have had appreciable effects on the forms of organization and communication of companies “that can affect the key structures of how a company does business” (Kraus et al. 2022, p.1; Bouncken et al. 2022), as well as changing the way in which companies interact with consumers. Therefore, in order to ensure business continuity and to avoid or reduce the problems of physical distance from customers (Asokan et al. 2022), many SMEs, especially those in traditional industries, were forced to invest in digital transformation, despite having little or no experience in this area (Soto-Acosta 2020).
Hence, businesses have been severely disrupted by the economic and social restrictions imposed during the health crisis (Dejardin et al. 2023). With the pandemic, the importance of digital transformation was understood (Yikilmaz 2021), and the digitalization process of companies from all industries was accelerated (Galindo-Martín et al. 2023; Kraus et al. 2019), converting the pandemic crisis to a catalyst for change and setting digital transformation as an indispensable trend in all sectors (Hai et al. 2021). This cushioned the significant economic impact experienced and constituted a hopeful alternative to return to a path of normal activity, for the most affected sectors (retail, entertainment, personal services, restaurants and hotels) (Bartik et al. 2020; and Ionescu-Somers and Tarnawa 2020).
Beyond the negative expectations generated in the short and medium term following the outbreak of the coronavirus, there were companies that took advantage of this scenario of forced adaptation to innovative digital tools and online platforms to position themselves in the markets, thus gaining a competitive advantage and considering technology as key driver as well as an instrument for achieving a competitive advantage through digital transformation, as has been seen in Kraus et al. (2021). Research suggests that digitalization presents a distinct opportunity to enhance the global competitiveness of European companies (Galindo-Martín et al. 2023, p. 1810) and has positive effects; however, limited evidence exists on the effects of digitalization on business performance (Kohtamäki et al. 2020) and on the situation during the pandemic crisis.
Digitalization contributes to value creation (Sommarberg and Mäkinen 2019) and at present is primarily driven by some key technologies that have evolved in recent years (Ribeiro-Navarrete et al. 2021). Digital technologies and tools can be used in business to obtain a competitive advantage that is essential to survive competition in some sectors. For instance, the adoption of new digital tools in the manufacturing and service sectors involves new challenges and bestows a greater importance to knowledge-intense activities (Martínez-Caro et al. 2020). Although digitalization is a growing phenomenon that impacts businesses’ strategies and processes and has potential benefits for firms’ performance (Truant et al. 2021; Chatterjee et al. 2023), there is a lack of evidence regarding the influence of digital tools on firms’ performance with an overview of the COVID-19 context.
To fill this research gap and draw on the use of digital tools to improve firms’ performance (Bruskin 2017; Westerman 2011), the main aim of this study is to analyze if there is an impact on the adoption, implementation and use of digital tools during the COVID-19 crisis. In this respect, the contribution of this study to the academic literature is threefold. Firstly, we ask whether the health crisis has significantly acted as a catalyst for the adoption of digital tools by companies; secondly, we ask whether the pandemic has led to changes in the use of these tools and whether there is a belief that these changes will be permanent over time; and finally, we ask if digitalization has positively affected certain performance variables of companies – specifically, whether it has led to an increase in sales and employment levels, taking into account the diversity of digital tools and platforms and their uses.
To answer these questions, the database of a pandemic survey (February 2021) included in The Future of Business Survey (FOBS), an ongoing collaboration between Facebook (now Meta), the Organization for Economic Cooperation and Development (OECD) and the World Bank, has been used. The selected sample includes Facebook page administrators from businesses in 27 countries located in different geographic areas around the world, with an extensive sample of 181,509 owners or managers.
Our analysis shows that the pandemic accelerated the process of digitalization in companies. Moreover, a greater use (72%) of one or more digital tools for communication was adopted, and this change is to be permanent. Finally, our analysis also illuminates the use of digital platforms and online tools improving firms’ performances.

2 Theoretical framework and hypothesis development

In the academic literature, digitization and digital transformation (or digitalization) are often used synonymously although they are expressions with different meanings. The term ‘digitization’ refers to the adoption and use of digital technologies to introduce changes (Noroozi et al. 2010; Li et al. 2016) influencing the value chain. The wide variety of technologies and tools that can be used includes the Internet, e-commerce, social media, big data, cloud computing, the Internet of Things, advanced automation, artificial intelligence and machine learning (OECD 2016; Kotarba 2017; Rachinger et al. 2019; Ulas 2019). The use of these technologies is focused on three directions: optimizing activities or processes (digitization of activities) or facilitating or developing new activities (digitization focused on resources) focused on stakeholder linkages that are aimed at establishing and maintaining communication by creating a network. Faced with the diversity of digital solutions, companies are considering which of the different technologies they should adopt to obtain benefits, related to gaining a competitive advantage (Pagani and Pardo 2017; Lee et al. 2020).
When referring to digital transformation, what is meant is profound changes in corporate identity, organizational structure, company activities, business processes, strategies, innovations and rules of the game and culture due to the use of digital technology (Bondar et al. 2017; Heavin and Power 2018; Hess et al. 2016; Hingings et al. 2018 Liu et al. 2011; Matt et al. 2015; Parviainen et al. 2017; Schallmo et al. 2019a, b; Vial 2019; Warner and Wäger 2019). All this undoubtedly requires competences or skills. However, at the same time, digital transformation could represent a change in the trajectory or evolution of the company, a change in the business model or a change or increase in competitive advantage (Garzoni et al. 2020).
Therefore, digitalization refers to a sociotechnological process, and digitization is exclusively a technical process (Tilson et al. 2010). The two perspectives are, however, hard to separate and will be addressed together in this paper.
As early as the previous century, studies by authors Gatignon and Robertson (1989) showed that there was a positive influence of competitive pressure on technology adoption. In this sense, and considering the situation caused by the pandemic, Klein and Todesco (2021) argued that the adoption of digital tools can be considered as a competitive advantage and present a window of opportunity for business survival, especially for SMEs in traditional industries or in the most affected sectors, such as the service sector, the manufacturing sector and the hospitality sector, which are among the most vulnerable to a crisis (Kraus et al. 2020). Hence, there was a need for investment in digital transformation, to ensure business continuity (Soto-Acosta 2020), as well as to avoid or reduce the problems of physical distance from customers and the financial crisis (Asokan et al. 2022). Therefore, the current economic context has pushed companies towards a digital transformation as a solution to avoid a total economic collapse (Soto-Acosta 2020).
In recent years, technological advances focused on data, information and knowledge have led to the advance of digitization, a process that started a few decades ago and has accelerated in the wake of the pandemic crisis. Thus, nearly half of EU companies claim to have invested in digitization in response to COVID-19 (European Investment Bank 2022). The changes introduced by digitalization have been so significant that they have become one of the most powerful drivers of the current economic system (Vitolla et al. 2020; Salvi et al. 2021). There is a growing range of digital tools available to entrepreneurs that offer them different utilities: social networks, digital marketing, e-commerce, the Internet of Things, cloud computing, big data, artificial intelligence and virtual reality (Rindfleisch et al. 2017; Nambisan 2017).
In fact, according to a recent study by Gavrila et al. (2021), many SMEs transformed traditional sales channels to web portals, digital marketplaces and mobile applications and began to use and have a more active presence in social networks, fostering online commerce (Fosso Wamba and Carter 2016), understood as “a form of Internet-based social networking that allows people to engage in the marketing and sale of products and services in online marketplaces and communities” (Stephen and Toubia 2010). While the main purpose of social networks is communication between different stakeholders, they have also become a meeting point between customers and suppliers (Gummensson 2002). Facebook is one of the leading social commerce platforms, with around 2930 million active users (Facebook Statistics 2022). Moreover, Facebook is seen by small businesses as a communication channel with consumers (Rugova and Prenaj 2016), facilitating interaction and fostering collaborations (Palmer and Koenig-Lewis 2009) and, therefore, contributing to their immersion in the digital environment and also facilitating the initiation of internationalization processes (Omar et al. 2018). In this sense, our first research hypothesis focuses on investigating whether the pandemic motivated the adoption of digital technologies for communication by companies (Priyono et al. 2020).
H1: The pandemic has prompted the adoption of digital technologies for communication.
Given the availability of data, this hypothesis is further disaggregated into the following technologies for communication: (a) web; (b) email; (c) Facebook; (d) Facebook Messenger; (e) Instagram; (f) phone and text messaging; (g) postal mail; (h) X (formerly Twitter); and (i) WhatsApp.
Additionally, the periods of confinement and mobility restrictions that were implemented to control the COVID-19 pandemic have generated very noticeable effects on economic activity worldwide, resulting in business closures, huge economic losses (Asad et al. 2021; Gavrila et al. 2021), workforce reductions, transformation from face-to-face to online work, changes in demand and disruptions in supply chains, among others (Bartik et al. 2020). The alteration of consumer habits has placed significant pressure on local businesses which, in addition to outstanding debts and financial difficulties (Syriopoulos 2020), had to face new competitors in digital commerce and the use of new technologies (Tolba et al. 2022; Autio et al. 2021). COVID-19 has changed the rules of the market, forcing companies to adopt innovative practices in order to survive, becoming an external enabler for the digitalization of companies (Priyono et al. 2020; Davidsson et al. 2021). Therefore, we propose the following hypotheses:
H2: As a consequence of the pandemic, there have been changes in the use of digital tools.
H3: Changes in the use of online tools due to the pandemic will be permanent.
Advances in information and communication technologies (ICTs) and digitalization processes, in general, have been accelerated considerably in recent years, generating the need for constant updates to actively participate in an increasingly dynamic and interdependent society (Upadhyay et al. 2021; Morrar et al. 2017), in line with what is already being called the fourth (Schwab 2016) and fifth (Sarfraz et al. 2021) industrial revolutions. This need is felt by both companies, regardless of their size and sector of activity, and individuals (Parviainen et al. 2017; Penco 2022).
On the other hand, this study goes a step further and aims to determine whether digitalization contributes to certain business performance variables (Kraus et al. 2021; Priyono et al. 2020; Amankwah-Amoah et al. 2021; Ferreira et al. 2019), from the point of view of employment (H4) understood as growth (Estrin et al. 2022; Bi et al. 2017) and sales (H5), in a situation resulting from the crisis caused by COVID-19.
H4: Digitalization generates employment growth in firms.
Since digitization can be understood in terms of platforms such as social networks (Brink 2017; Fosso Wamba and Carter 2016), broadband Internet (Colombo et al. 2013), digital marketing (Taiminen and Karjaluoto 2015; Pradhan et al. 2018; Saura et al. 2023), e-commerce (Gregory et al. 2019), the Internet of Things (Quigley and Burke 2013) and the use made of all of these, hypothesis 4 is broken down into the following two hypotheses:
H4a: The adoption of digital platforms influences employment growth in enterprises. This hypothesis can be made for each of the digital platforms that can be used.
H4b: The different uses of digital platforms increase employment in firms.
and (H5) related to sales:
H5: Digitalization leads to an increase in business sales.
From the point of view of the platforms and the use made of them, this hypothesis is broken down into the following two hypotheses:
H5a: The adoption of digital platforms influences firms’ sales growth. This hypothesis can be made for each of the digital platforms that can be used.
H5b: The different uses of digital platforms lead to increased sales for companies.
This study aims to make a valuable contribution to the academic literature by showing whether the pandemic has motivated the adoption of digital tools and whether this digitization has been an advantage for companies.

3 Methodology

In order to test these hypotheses, we used one of the databases from The Future of Business Survey (FOBS)1, which is an ongoing collaboration between Facebook (now Meta), the OECD and the World Bank since 2016 to collect online information from small and medium-sized enterprises around the world on their business conditions, challenges and operations. However, since the onset of the COVID-19 pandemic in 2020, these institutions flagged the need to conduct the surveys more frequently in order to learn about the impact of COVID-19 on businesses of all kinds and the adaptations they had undertaken as a result of the pandemic (Schneider 2020). The chosen database collects information on the impact the pandemic was having on businesses, as well as changes in digital tools and their uses by businesses. This method is considered suitable for data collection and statistical analysis in the case of this study object (Alsufyani and Gill 2022; Rahi et al. 2019).
The target population are the Facebook Page administrators of businesses, who can be owners or managers reaching around 80 million businesses worldwide. Once the sample size has been selected (400 owners or managers in each country) and the survey has been conducted on the Facebook platform itself, a weighting is conducted based on the population to be represented (Schneider 2020). The database used in this paper is from the survey conducted in February 2021, during the pandemic, with a sample of 181,509 owners or managers from 27 countries. The sample selection used to exclude respondents was based on the activity of the business. Thus, if the business was active, it was included in the sample, otherwise the respondent was excluded.
In relation to the dependent variables, 10.9% of the companies that responded to the survey stated that they had increased the number of employeees, and 15.2% stated that their sales had increased.
The characteristics of the companies are as follows: most are located in North America (47.4%, with responses received only from the USA), 26.9% in Europe, 14.6% in Australasia, 6.6% in Latin America and 4.5% in Africa. In total, 78.2% operate in the service sector, 8.5% in construction, 8.3% in industry and 3.9% in the primary sector; in relation to their size, 7.4% are self-employeed individuals, 25.3% are small enterprises, 34.6% are medium-sized enterprises and 32.1% are large enterprises; the average age of these businesses is 7.6 years, the possibility of teleworking is 1.52, and 18.9% have switched to the use of digital tools.
The purposes for which companies used digital tools are more than one (1.8 on average): digital tools were being used for communication with customers (34.9%), advertising (28.1%), coordination of workers (24.8%), sales (23.5%), recruitment of workers (20.7%) and business analysis (15.7%).
Companies also use more than one platform (1.7 on average). As would be expected, given that the survey is conducted by Facebook, the platform most frequently used by the companies surveyed is Facebook (32.6%), followed by other online calling tools (22%), Google Docs or Gmail (21.1%), Zoom (18.8%), Microsoft Meeting Tools (17.2), WhatsApp (17.1%) Instagram (17%); Facebook Messenger (13.2%), X (formerly Twitter) (8.2%), WhatsApp Business (5.7%) and BlueJeans (1.2%).
Annex 1 presents the descriptives of the dependent and independent variables that have been considered.
To evaluate the first three hypotheses, a univariate statistical analysis and a contingency table analysis of several dimensions were conducted to examine the independence between qualitative variables. Therefore, the null hypotheses of independence of the attributes were assessed, and if these were rejected (i.e. there is a relationship between the variables), it was proposed to use a Logit analysis to determine the degree of association between the variables.
Thus, in order to evaluate the last two hypotheses, and given that the two dependent variables related to business impact are binary, two Logit analyzes were conducted (Long and Freese 2014, Cramer 2003, Pérez López 2004). These variables are increase in sales and hiring of employeees. As independent variables, in both models, we included the geographical area of origin (grouping countries), the sector of activity and the firm age and size as variables that define the characteristics of the activity. We also considered other variables related to the digitalization of this activity: the possibility of teleworking, changes in the use of online tools, the different uses of digital tools and the different platforms used.

4 Results

To answer the first hypothesis, H1: The pandemic has motivated the adoption of digital technologies for communication, we used the FOBS survey’s questions which directly ask respondents about the adoption of various communication tools since the onset of the COVID-19 pandemic. The results obtained (Table 1) evidence that the pandemic has had a significant impact on the adoption of digital tools, with only 28% of respondents not having adopted any digital tools for communication in the wake of the coronavirus crisis. In other words, 72% of the more than 29,400 respondents have adopted one or more digital tools for communication. It should also be noted that this effect has not been equal for all tools considered by Facebook, OECD and the World Bank; the two tools that have been adopted most (by 43% of respondents in both cases) as a result of the health crisis have been email and telephone (along with SMS text messaging services). Not surprisingly, these are two of the basic communication tools and far outweigh the adoption of Facebook (26%) and any other digital tool (WhatsApp, 18%; Instagram, 13%; web, 10%). However, the results in Table 1 also show a high standard deviation, revealing the existence of a high dispersion among the responses received. These results allow us to accept the first null hypothesis, so that we can affirm that the pandemic has indeed motivated the adoption of digital technologies for communication.
Table 1
Communication tools adopted by COVID-19.
Tool
Mean
Standard deviation
Web
0.10
0.306
Email address
0.43
0.495
Facebook
0.26
0.436
Facebook Messenger
0.13
0.337
Instagram
0.13
0.340
Telephone and text messaging
0.43
0.495
Postal mail
0.19
0.390
Twitter
0.06
0.238
WhatsApp
0.18
0.386
No digital tool adopted
0.28
0.450
n
 
29,403
Source: own elaboration based on the FOBS.
To confirm the second hypothesis (H2: As a consequence of the pandemic, there have been changes in the use of digital tools), the question asking whether, as a consequence of the pandemic, there have been changes in the use of online tools, was used; and to validate the third hypothesis (H3: The changes in the use of online tools due to the pandemic will be permanent), the question asks whether these changes will be permanent or not, in the opinion of the respondent, was used.
In relation to the incorporation of changes in the use of online tools (Table 2), 33% of the 28,059 respondents stated that they have introduced changes as a result of COVID-19. Moreover, of these, 75% believe that these changes will be permanent, although a wide disparity in the results, as evidenced by the high standard deviations, was obtained.
Table 2
Digital tools adopted since COVID-19.
Digital tool
Mean
Standard
deviation
n
Has changed as a result of COVID-19
0.33
0.469
28,059
Respondent thinks this will be a permanent change
0.75
0.435
1,361
Source: own elaboration based on the FOBS.
The results obtained from the FOBS allow us to accept the null hypotheses 2 and 3 and support that the pandemic has accelerated the process of digitization in companies, although the level of digitization perceived is basic.
The results of the binary logistic regression models on the employment and sales variables (Table 3 and annex Figs. 1 and 2) seem to support the hypotheses that argue for a positive effect of digitization on firm performance, measured as an increase in staff hired (H4: Digitization leads to an increase in firm employment) and an increase in sales (H5: Digitization leads to an increase in firm sales).
Table 3
LOGIT regressions. Increases in employment or sales
Variable
Employment growth
B
Exp (B)
Sales increase
B
Exp (B)
 
Constant
1,32
3.76
-1.83***
0.16
 
Area (North America)
     
- Africa
-2,12***
0.12
0.55***
1.74
 
- LATAM
-0,37
0.69
-0.10
0.90
 
- Australasia
-1,55***
0.21
0.12**
1.13
 
- Europe
-0,68**
0.50
-0.25***
0.78
 
Sector (Agriculture)
     
- Industry
-0,50
0.61
0.10
1.10
 
- Construction
-1,60**
0.20
0.06
1.06
 
- Services
-1,14*
0.32
-0.04
0.96
 
Company size (Self-employeed)
     
- Small
3,38***
29.44
0.20***
1.23
 
- Medium
4,53***
92.96
0.39***
1.48
 
- Large
4,63***
102.21
0.59***
1.80
 
Firm age
-0.19***
0.83
-0.05***
0.95
 
Telework
0.21***
1.23
0.06***
1.06
 
Change in use of online tools
-0.09
0.91
0.09**
1.09
 
Use (Total)
0.21***
1.23
0.08***
1.08
 
- Advertising
0.51**
1.67
0.02
1.02
 
- Business analysis
0.23
1.26
0.22***
1.24
 
- Communication with clients
-0.05
0.95
-0.07*
0.93
 
- Coordination with workers
0.28
1.33
0.00
1.00
 
- Recruitment
0.88***
2.41
0.11***
1.12
 
- Sales
-0.22
0.81
0.39***
1.47
 
Platforms (Total)
-0.12**
0.89
0.06***
1.06
 
- BlueJeans
-2.01***
0.13
0.38***
1.46
 
- Facebook
0.45*
1.57
0.01
1.01
 
- Facebook Messenger
-1.08***
0.34
0.00
1.00
 
- Google Docs or Gmail
0.02
1.02
0.04
1.04
 
- Instagram
1.18***
3.26
0.05
1.05
 
- Microsoft Meeting Tools
-0.22
0.81
-0.02
0.98
 
- Other online calling tools
-0.54**
0.58
0.13***
1.14
 
- Twitter
-1.14***
0.32
0.32***
1.38
 
- WhatsApp
-0.17
0.85
-0.04
0.96
 
- WhatsApp Business
0.77**
2.17
0.08
1.08
 
- Zoom
0.38
1.46
-0.07*
0.94
 
R2 (Nagelkerke)
 
0.21
 
0.04
 
Classification success (%)
 
95.22
 
80.60
 
n
 
4,672
 
42,028
 
Note: *** p-value < 0.01; ** p-value < 0.05; * p-value < 0.10
Fig. 1
Effect on probability of employment growth
Bild vergrößern
Fig. 2
Effect on probability of sales increase
Bild vergrößern
The use of different online tools increases the probability of increasing sales, in particular, when it comes to the use of tools for online sales (47% more likely to increase sales) or for business analysis or hiring people. These results confirm the fifth null hypothesis (H5b: The different uses of digital platforms lead to an increase in firms’ sales). The effects on employment, on the other hand, are not so evident, and although the use of digital tools for advertising, recruitment and coordination of workers yields the expected positive results, the majority of uses do not seem to be related to employment or, even worse, this is negative in the case of the use of instruments for online sales, which could perhaps be pointing to a process of substitution of physical or face-to-face sales channels with high demand for personnel by digital sales. Therefore, the results do not allow us to fully confirm the null hypothesis H4b: The different uses of digital platforms increase employment in firms.
In the case of the online platforms addressed by Facebook, the OECD and the World Bank, the positive effect on sales is small, with the exceptions of those companies that choose to use BlueJeans and X, whose use increases the probability of increasing sales during the first year of the pandemic by 38%. Thus, the results obtained only allow us to validate the null hypothesis H5a: The adoption of digital platforms influences the increase in sales of companies for some platforms (BlueJeans and X). The relationship of online platforms with employment points to two social networks, Instagram and Facebook, together with the use of WhatsApp Business, as the tools that have the greatest impact on the probability of having hired more staff during the pandemic. In the opposite direction, companies using X, Messenger and other calling or video calling tools (other than Microsoft tools) are between 68% and 42% less likely to have hired. Again, these results lead us to accept the null hypothesis H4a: The adoption of digital platforms influences employment growth in firms only for some platforms (Instagram, Facebook and WhatsApp Business).
Finally, control variables are firm size, where there is no doubt that the larger the firm size, the greater the positive effect; firm age, which reveals an inverse relationship with the probability of better business performance; and the possibilities of teleworking (Heidt et al. 2023), which, in line with expectations, increase the probability of increasing sales and employment. Moreover, the greatest positive effects on sales and employment increases derived from digital tools are observed in North America; these effects could be related to sociocultural factors, ease of access to digital tools and platforms, the internationalization of their economy, market regulations and facilities in payment systems, among others. Surprisingly, however, the effect of the use of digital tools on employment and sales seems not to be affected by the sector of activity, despite other studies such as Truant et al. (2021) recognizing this relation.

5 Discussion and conclusion

Previous studies have already indicated that the competitive pressure of the markets influences the decision to adopt new technologies that allow companies to develop a competitive advantage or find new business opportunities (Bouncken et al. 2022; Kraus et al. 2022). The pandemic has provided a stimulus for digital transformation (Dejardin et al. 2023; Galindo-Martin et al. 2023; Kraus et al. 2019; HBS 2020 and Soto-Acosta 2020) and has motivated the adoption of digital tools by the majority of companies globally (European Investment Bank 2022), as our results indicates 72% of companies reported having made changes in the use of digital communication tools. Digitalization acts as a powerful driver of the economic system (Vitolla et al. 2020; Salvi et al. 2021; Kraus et al. 2021) and seems to, among other effects, offer a competitive advantage to firms (Pagani and Pardo 2017; Lee et al. 2020).
The diversity of technologies developed in recent decades, and especially all the tools aimed at offering digital solutions with different uses and effects, forces companies to determine which are the most appropriate for improving performance and competitiveness (Kohtamäki et al. 2020). Indeed, our results show that the effects of different digital tools, platforms and uses were not uniform, and there were differences between them. Positive effects differ among tools for internal communication and those for communication with customers. Furthermore, the teleworking possibilities offered by digitalization have a positive effect on business performance in line with Bartik et al. (2020) and Fernandez-Portillo et al. (2024). Although, in principle, this dilemma is common among all companies, regardless of size and sector of activity, it is more pressing for those with fewer resources and capabilities (SMEs and family businesses). Firm size was identified as a variable that conditions the digitization process (European Investment Bank 2022, Truant et al. 2021) and its effect on performance measured in terms of jobs and sales (Eller et al. 2020). Therefore, digitalization can contribute towards increasing operational efficiency and market flexibility (Rosin et al. 2020), maximize employee skills and corporate digital strategy and improve business performance through ICT (Eller et al. 2020), as our results also proved.
During the pandemic, digitization offered an advantage to firms by increasing the probability of increasing their sales and employment levels compared to non-digitized firms, in line with Rubino et al. (2019), Lee et al. (2020), Kohtamäki et al. (2020) and Syaifullah et al. (2021). Therefore, this research reveals that, during the pandemic, the tools introduced were aimed at strengthening customer relations, but other uses, such as teleworking and tools for internal use, had a significant impact on business efficiency.
Our results also state that digitalized firms increased their probability of improving sales and employment compared to non-digitized firms. However, the question of which technological solution is optimal for each company that allows it to improve its performance and competitiveness remains, although it is possible that the same technological advances can help in the advancement of these decisions.

5.1 Implications for practice

This work is of interest to policymakers, as it allows them to focus public policies and programs to be more effective in helping businesses to recover economically. It is also of interest to companies and self-employeed professionals, who will be able to assess the impact of these strategies on their businesses. This is particularly relevant at the European Union (EU) level, where the approval in 2020 of NextGenerationEU (NGEU) has been an important driver for the digital transformation of companies. Other institutions have also been evaluating the impact of digital tools since the pandemic: the United Nations Development Program has linked the acceleration of digital transformation to sustainability, the World Bank has reported that two-thirds of the world’s adults are now using digital payment systems, and the Economic Commission for Latin America and the Caribbean has linked the momentum of digitalization in the region’s countries to an impact on economic resilience and social wellbeing.
Similarly, this research offers progress regarding the results obtained by companies from the application of digital tools and the use they make of them and establishes that many companies have made changes as the pandemic has been an accelerator of the digitalization process, with these changes being permanent. However, it will be important to monitor whether these tools, teleworking, and others are maintained at present, or whether, once again, by returning to face-to-face work, many companies take backwards steps in their digitalization process.

5.2 Research limitations and further research

One of the limitations of this study is the lack of detailed information about the managers’ profiles (respondents of the FOBS survey). In future research, a similar study with post-pandemic data could be undertaken, as our results indicate that the pandemic has been an accelerator for the adoption of digital technologies; however, it is unclear if the perception of respondents will stay the same in the future.
Future research should also include more digital platforms, in line with those considered by Rindfleish et al. in 2017 and Nambisan (2017). It would be interesting to investigate the incorporation of recent technologies such as big data analytics (Karaboga et al. 2023) and artificial intelligence (AI) in firms, as well as additional explanatory factors on sales growth and recruitment.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
download
DOWNLOAD
print
DRUCKEN
Titel
Does the use of digital tools improve a firm’s performance?
Verfasst von
Miguel Angoitia Grijalba
Yolanda Bueno Hernández
Adriana Perez-Encinas
Begoña Santos Urda
Publikationsdatum
02.03.2024
Verlag
Springer Berlin Heidelberg
Erschienen in
Review of Managerial Science / Ausgabe 7/2025
Print ISSN: 1863-6683
Elektronische ISSN: 1863-6691
DOI
https://doi.org/10.1007/s11846-024-00750-4

Electronic supplementary material

Below is the link to the electronic supplementary material.
1
The Future of Business Survey is conducted on a biannual basis, but other SME surveys are also conducted. The survey topics are of a general business nature, but questions on specific aspects are being introduced (https://dataforgood.facebook.com/dfg/tools/future-of-business-survey).
 
2
The values for telework possibilities allowed in FOBS are 0% (0); between 0% and 25% (1); between 25% and 50% (2); between 50% and 75% (3); between 75% and 100% (4) and 100% (5). Therefore, the value 1.5 means that, on average, the possibilities for teleworking are halfway between the options 0–25% and 25–50%.
 
Zurück zum Zitat Alsufyani N, Gill AQ (2022) Digitalization performance assessment: a systematic review. Technol Soc. https://doi.org/10.1016/j.techsoc.2022.101894. 68 101894CrossRef
Zurück zum Zitat Amankwah-Amoah J, Khan Z, Wood G, Knight G (2021) COVID-19 and digitalization: the great acceleration. J Bus Res 136:602–611. https://doi.org/10.1016/j.jbusres.2021.08.011CrossRef
Zurück zum Zitat Asad M, Kashif M (2021) Unveiling success factors for small and medium enterprises during COVID-19 pandemic. Arab J Basic Appl Sci 28(1):187–194. https://doi.org/10.1080/25765299.2020.1830514CrossRef
Zurück zum Zitat Asokan DR, Huq FA, Smith CM, Stevenson M (2022) Socially responsible operations in the industry 4.0 era: post-COVID-19 technology adoption and perspectives on future research. Int J Oper Prod Manag 42(13):185–217. https://doi.org/10.1108/IJOPM-01-2022-0069CrossRef
Zurück zum Zitat Autio E, Mudambi R, Yoo Y (2021) Digitalization and globalization in a turbulent world: centrifugal and centripetal forces. Glob Strategy J 11(1):3–16. https://doi.org/10.1002/gsj.1396CrossRef
Zurück zum Zitat Bartik AW, Bertrand M, Cullen Z, Glaeser E, Luca M, Stanton C (2020) The impact of COVID-19 on small business outcomes and expectations. Columbia University, New YorkCrossRef
Zurück zum Zitat Bi R, Davison RM, Smyrnios KX (2017) E-Business and fast growth SMEs. Small Bus Econ 48(3):559–576. https://doi.org/10.1007/s11187-016-9788-8CrossRef
Zurück zum Zitat Bondar S, Hsu JC, Pfouga A, Stjepandic J (2017) Agile digital transformation of System-of-system architecture models using Zachman framework. J Ind Inf Integr 7:33–43. https://doi.org/10.1016/j.jii.2017.03.001CrossRef
Zurück zum Zitat Bouncken RB, Kraus S, de Lucas Ancillo A (2022) Management in times of crises: reflections on characteristics, avoiding pitfalls, and pathways out. Rev Manag Sci 16:2035–2046. https://doi.org/10.1007/s11846-022-00580-2CrossRef
Zurück zum Zitat Brink T (2017) B2B SME management of antecedents to the application of social media. Ind Mark Manag 64:57–65. https://doi.org/10.1016/j.indmarman.2017.02.007CrossRef
Zurück zum Zitat Bruskin SN, Brezhneva AN, Dyakonova LP, Kitova OV, Savinova VM, Danko TP, Sekerin VD (2017) Business performance management models based on the digital corporation’s paradigm. Eur Res Stud J 20(4):264–274
Zurück zum Zitat Chatterjee S, Chaudhuri R, Vrontis D (2023) Internationalization of family business and its performance: examining the moderating role of digitalization and international networking capability. Rev Manag Sci 17, 2443–2470 (2023). https://doi.org/10.1007/s11846-022-00585-x
Zurück zum Zitat Colombo MG, Croce A, Grilli L (2013) ICT services and small businesses’ productivity gains: an analysis of the adoption of broadband internet technology. Inf Econ Policy 25(3):171–189. https://doi.org/10.1016/j.infoecopol.2012.11.001CrossRef
Zurück zum Zitat Cramer JS (2003) Logit models from economics and other fields. Cambridge University Press
Zurück zum Zitat Davidsson P, Recker J, Von Briel F (2021) COVID-19 as external enabler of entrepreneurship practice and research. BRQ Bus Res Q 24(3):214–223. https://doi.org/10.1177/23409444211008902CrossRef
Zurück zum Zitat Dejardin M, Raposo ML, Ferreira JJ, Fernandes CI, Veiga PM, Farinha L (2023) The impact of dynamic capabilities on SME performance during COVID-19. Rev Manag Sci 17(5):1703–1729. https://doi.org/10.1007/s11846-022-00569-xCrossRef
Zurück zum Zitat Eller R, Alford P, Kallmünzer A, Peters M (2020) Antecedents, consequences, and challenges of small and medium-sized enterprise digitalization. J Bus Res 112:119–127. https://doi.org/10.1016/j.jbusres.2020.03.004CrossRef
Zurück zum Zitat Estrin S, Korosteleva J, Mickiewicz T (2022) Schumpeterian entry: Innovation, exporting and growth aspirations of entrepreneurs. Entrep Theory Pract 46(2):269–296. https://doi.org/10.1177/1042258720909771CrossRef
Zurück zum Zitat European Investment Bank (2022) Digitalization in Europe 2021–2022. Evidence from the EIB Invest Surv. Luxembourg
Zurück zum Zitat Fernández-Portillo A, Ramos-Vecino N, Ramos-Mariño A et al (2024) How the digital business ecosystem affects stakeholder satisfaction: its impact on business performance. Rev Manag Sci. https://doi.org/10.1007/s11846-023-00720-2CrossRef
Zurück zum Zitat Ferreira JJ, Fernandes CI, Ferreira FA (2019) To be or not to be digital, that is the question: firm innovation and performance. J Bus Res 101:583–590. https://doi.org/10.1016/j.jbusres.2018.11.013CrossRef
Zurück zum Zitat Fosso Wamba S, Carter L (2016) Social media tools adoption and use by SMEs: an empirical study. Social Media and Networking: Concepts, Methodologies, Tools, and Applications IGI Global 791–806
Zurück zum Zitat Galindo-Martín MÁ, Castaño-Martínez MS, Méndez-Picazo MT (2023) Digitalization, entrepreneurship and competitiveness: an analysis from 19 European countries. Rev Manag Sci 17(5):1809–1826. https://doi.org/10.1007/s11846-023-00640-1CrossRef
Zurück zum Zitat Garzoni A, De Turi I, Secundo G, Del Vecchio P (2020) Fostering digital transformation of SMEs: a four levels approach. Manag Decis 58(8):1543–1562. https://doi.org/10.1108/MD-07-2019-0939CrossRef
Zurück zum Zitat Gatignon H, Robertson TS (1989) Technology diffusion: an empirical test of competitive effects. J Mark 53(1):35–49. https://doi.org/10.1177/002224298905300104CrossRef
Zurück zum Zitat Gavrila SG, de Lucas Ancillo A (2021) COVID-19 as an entrepreneurship, innovation, digitization and digitalization accelerator: Spanish internet domains registration analysis. Br Food J 123(10):3358–3390. https://doi.org/10.1108/BFJ-11-2020-1037CrossRef
Zurück zum Zitat Gregory GD, Ngo LV, Karavdic M (2019) Developing e-commerce marketing capabilities and efficiencies for enhanced performance in business-to-business export ventures. Ind Mark Manag 78:146–157. https://doi.org/10.1016/j.indmarman.2017.03.002CrossRef
Zurück zum Zitat Gummesson E (2002) Total Relationship Marketing, Marketing Management, relationship strategy and CRM. Approaches for the Network Economy
Zurück zum Zitat Hai TN, Van QN, Thi Tuyet MN (2021) Digital transformation: opportunities and challenges for leaders in the emerging countries in response to COVID-19 pandemic. Emerg Sci J 5(1):21–36. https://doi.org/10.28991/esj-2021-SPER-03CrossRef
Zurück zum Zitat Harvard Business School (2020) Innovation in a Time of Crisis. Harvard Business School Publishing. Available at: https://www.harvardbusiness.org/innovation-in-a-time-of-crisis/
Zurück zum Zitat Heavin C, Power DJ (2018) Challenges for digital transformation-towards a conceptual decision support guide for managers. J Decis Syst 27:38–45. https://doi.org/10.1080/12460125.2018.1468697CrossRef
Zurück zum Zitat Heidt L, Gauger F, Pfnür A (2023) Work from Home Success: agile work characteristics and the Mediating Effect of supportive HRM. Rev Manag Sci 17:2139–2164. https://doi.org/10.1007/s11846-022-00545-5CrossRef
Zurück zum Zitat Hess T, Benlian A, Matt C, Wiesböck F (2016) Options for formulating a digital transformation strategy. MIS Q Exec 15(2):123–139
Zurück zum Zitat Hinings B, Gegenhuber T, Greenwood R (2018) Digital innovation and transformation: an institutional perspective. Inf Organ 28(1):52–61. https://doi.org/10.1016/j.infoandorg.2018.02.004CrossRef
Zurück zum Zitat Ionescu-Somers E, Tarnawa E (2020) Diagnosing COVID-19 impacts on Entrepreneurship. Global Entrepreneurship Research Association, London Business School
Zurück zum Zitat Karaboga T, Zehi C, Tatoglu E (2023) Big data analytics management capability and firm performance: the mediating role of data-driven culture. Rev Manag Sci 17, 2655–2684 (2023). https://doi.org/10.1007/s11846-022-00596-8
Zurück zum Zitat Klein VB, Todesco JL (2021) COVID-19 crisis and SMEs responses: the role of digital transformation. Knowl Process Manag 28(2):117–133. https://doi.org/10.1002/kpm.1660CrossRef
Zurück zum Zitat Kohtamäki M, Parida V, Patel PC, Gebauer H (2020) The relationship between digitalization and servitization: the role of servitization in capturing the financial potential of digitalization. Technol Forecast Soc Change 151:119804. https://doi.org/10.1016/j.techfore.2019.119804CrossRef
Zurück zum Zitat Kotarba M (2017) Measuring digitalization: key metrics. Found Manag 9(1):123–138. https://doi.org/10.1515/fman-2017-0010CrossRef
Zurück zum Zitat Kraus S, Roig-Tierno N, Bouncken RB (2019) Digital innovation and venturing: an introduction into the digitalization of entrepreneurship. Rev Manag Sci 13(3):519–528. https://doi.org/10.1007/s11846-019-00333-8CrossRef
Zurück zum Zitat Kraus S, Clauss T, Breier M, Gast J, Zardini A, Tiberius V (2020) The economics of COVID-19: initial empirical evidence on how family firms in five European countries cope with the corona crisis. Int J Entrep Behav Res 26(5):1067–1092. https://doi.org/10.1108/IJEBR-04-2020-0214CrossRef
Zurück zum Zitat Kraus S, Jones P, Kailer N, Weinmann A, Chaparro-Banegas N, Roig-Tierno N (2021) Digital transformation: an overview of the current state of the art of research. Sage Open 11:1–15. https://doi.org/10.1177/21582440211047576CrossRef
Zurück zum Zitat Kraus S, Durst S, Ferreira JJ, Veiga P, Kailer N, Weinmann A (2022) Digital transformation in business and management research: an overview of the current status quo. Int J Inf Manage 63:102466. https://doi.org/10.1016/j.ijinfomgt.2021.102466CrossRef
Zurück zum Zitat Lee YY, Falahat M, Sia BK (2020) Drivers of digital adoption: a multiple case analysis among low and high-tech industries in Malaysia. Asia-Pacific J Bus Adm 13(1):80–97. https://doi.org/10.1108/APJBA-05-2019-0093CrossRef
Zurück zum Zitat Li W, Liu K, Belitski M, Ghobadian A, O’Regan N (2016) E-Leadership through strategic alignment: an empirical study of small- and medium-sized enterprises in the digital age. J Inf Technol 31(2):185–206. https://doi.org/10.1057/jit.2016.10CrossRef
Zurück zum Zitat Liu DY, Chen SW, Chou TC (2011) Resource fit in digital transformation: lessons learned from the CBC Bank global e-banking project. Manag Decis 49(10):1728–1742. https://doi.org/10.1108/00251741111183852CrossRef
Zurück zum Zitat Long JS, Freese J (2006) Regression models for categorical dependent variables using Stata, vol 7. Stata
Zurück zum Zitat Martínez-Caro E, Cegarra-Navarro JG, Alfonso-Ruiz FJ (2020) Digital technologies and firm performance: the role of digital organizational culture. Technological Forecast Soc Change 154:119962. https://doi.org/10.1016/j.techfore.2020.119962CrossRef
Zurück zum Zitat Matt C, Hess T, Benlian A (2015) Digital transformation strategies. Bus Inf Syst Eng 57(5):339–343. https://doi.org/10.1007/s12599-015-0401-5CrossRef
Zurück zum Zitat Morrar R, Arman H, Mousa S (2017) The fourth industrial revolution (industry 4.0): a social innovation perspective. Technol Innov Manage Rev 7(11):12–20. https://doi.org/10.22215/timreview/1117CrossRef
Zurück zum Zitat Nambisan S (2017) Digital entrepreneurship: toward a digital technology perspective of entrepreneurship. Entrep Theory Pract 41(6):1029–1055. https://doi.org/10.1111/etap.12254CrossRef
Zurück zum Zitat Noroozi A, Mobarekeh AN, Zadeh HF (2010) The impact of e-commerce on export development in developing countries: a case of small and medium-sized enterprises in Iran and Malaysia. Inf Management and Engineering (ICIME), 2010, The 2nd IEEE
Zurück zum Zitat OECD (2016) Stimulating digital innovation for growth and inclusiveness the role of policies for the successful diffusion of ICT. OECD Digital economy papers No. 256, OECD publishing. https://one.oecd.org/document/DSTI/ICCP(2015)18/FINAL/En/pdf. Accessed 12 October 2023
Zurück zum Zitat Omar NF, Isa CMM, Arshad RA (2018) Factors Influencing Internationalization of Malaysian Construction Firms. In: Saian R, Abbas MA (eds) Proceedings of the Second International Conference on the Future of ASEAN (ICoFA) 2017–Volume 2:659–671. Springer, Singapore. https://doi.org/10.1007/978-981-10-8471-3
Zurück zum Zitat Pagani M, Pardo C (2017) The impact of digital technology on relationships in a business network. Ind Mark Manag 67:185–192. https://doi.org/10.1016/j.indmarman.2017.08.009CrossRef
Zurück zum Zitat Palmer A, Koenig-Lewis N (2009) An experiential, social network‐based approach to direct marketing. Direct Marketing: Int J 3(3):162–176. https://doi.org/10.1108/17505930910985116CrossRef
Zurück zum Zitat Parviainen P, Tihinen M, Kääriäinen J, Teppola S (2017) Tackling the digitalization challenge: how to benefit from digitalization in practice. Int J Inf Syst Proj Manag 5(1):63–77. https://doi.org/10.12821/ijispm050104CrossRef
Zurück zum Zitat Penco L, Profumo G, Serravalle F, Viassone M (2022) Has COVID-19 pushed digitalization in SMEs? The role of entrepreneurial orientation. J Small Bus Enterp Dev 30(2):311–341. https://doi.org/10.1108/JSBED-10-2021-0423CrossRef
Zurück zum Zitat Pérez López C (2004) Técnicas De análisis Multivariante De Datos. Pearson Educación, Madrid
Zurück zum Zitat Pradhan P, Nigam D, Ck T (2018) Digital marketing and SMEs: an identification of research gap via archives of past research. J Internet Bank Commer 23(1):1–14
Zurück zum Zitat Priyono A, Moin A, Putri VNAO (2020) Identifying digital transformation paths in the business model of SMEs during the COVID-19 pandemic. J Open Innovation: Technol Mark Complex 6(4):104. https://doi.org/10.3390/joitmc6040104CrossRef
Zurück zum Zitat Quigley M, Burke M (2013) Low-cost internet of things digital technology adoption in SMEs. Int j Manag Pract 6(2):153–164. https://doi.org/10.1504/IJMP.2013.055828CrossRef
Zurück zum Zitat Rachinger M, Rauter R, Müller C, Vorraber W, Schirgi E (2019) Digitalization and its influence on business model innovation. J Manuf Technol Manag 30(8):1143–1160. https://doi.org/10.1108/JMTM-01-2018-0020CrossRef
Zurück zum Zitat Rahi S, Alnaser FM, Abd Ghani M (2019) Designing survey research: recommendation for questionnaire development, calculating sample size and selecting research paradigms. 37th International Scientific Conference on Economic and Social Development-Socio Economic Problems of Sustainable Development, Baku, Book of Proceedings, 1157–1169. https://www.proquest.com/conference-papers-proceedings/designing-survey-research-recommendation/docview/2188521137/se-2. Accessed 12 October 2023
Zurück zum Zitat Ribeiro-Navarrete S, Botella-Carrubi D, Palacios-Marqués D, Orero-Blat M (2021) The effect of digitalization on business performance: an applied study of KIBS. J Bus Res 126:319–326. https://doi.org/10.1016/j.jbusres.2020.12.065CrossRef
Zurück zum Zitat Rindfleisch A, O’Hern M, Sachdev V (2017) The digital revolution, 3D printing, and innovation as data. J Prod Innov Manage 34(5):681–690. https://doi.org/10.1111/jpim.12402CrossRef
Zurück zum Zitat Rosin F, Forget P, Lamouri S, Pellerin R (2020) Impacts of industry 4.0 technologies on lean principles. Int J Prod Res 58(6):1644–1661. https://doi.org/10.1080/00207543.2019.1672902CrossRef
Zurück zum Zitat Rubino M, Vitolla F, Raimo N, Garzoni A (2019) Cultura nazionale e livello di digitalizzazione delle imprese europee: evidenze empiriche. In: Culasso F, Pizzo M (eds.) Identità, innovazione e impatto dell’aziendalismo italiano. Dentro l’economia, Atti del XXXIX Convegno nazionale Accademia Italiana di Economia Aziendale - AIDEA, Torino, 12 e 13 settembre 2019, ISBN 9788875901387, Università di Torino, Torino, 581–593. https://www.econstor.eu/bitstream/10419/217258/1/Cultura%20nazionale%20e%20livello%20di%20digitalizzazione%20delle%20imprese%20europee%20evidenze%20empiriche.pdf. Accessed 12 October 2023
Zurück zum Zitat Rugova B, Prenaj B (2016) Social media as marketing tool for SMEs: opportunities and challenges. Acad J Bus Adm Law Soc Sci 2(3):85–97
Zurück zum Zitat Salvi A, Vitolla F, Rubino M, Giakoumelou A, Raimo N (2021) Online information on digitalization processes and its impact on firm value. J Bus Res 124:437–444. https://doi.org/10.1016/j.jbusres.2020.10.025CrossRef
Zurück zum Zitat Sarfraz Z, Sarfraz A, Iftikar HM, Akhund R (2021) Is COVID-19 pushing us to the fifth industrial revolution (society 5.0)? Pak J Med Sci 37(2):591–594. https://doi.org/10.12669/pjms.37.2.3387CrossRef
Zurück zum Zitat Saura JR, Palacios-Marquez D, Barbosa B (2023) A review of digital family businesses: setting marketing strategies, business models and technology applications. Int J Entrep Behav Res 29(1):144–165. https://doi.org/10.1108/IJEBR-03-2022-0228CrossRef
Zurück zum Zitat Schallmo D, Williams CA, Boardman L (2019a) Digital Transformation of Business models- best practice, enablers, and Roadmap. Digit Disruptive Innov 36:119–138 World Scientific (Europe). https://doi.org/10.1142/9781786347602_0005CrossRef
Zurück zum Zitat Schallmo D, Williams CA, Lohse J (2019b) Digital strategy-integrated approach and generic options. Int J Innov Manag 23(8):1940005. https://doi.org/10.1142/S136391961940005XCrossRef
Zurück zum Zitat Scheneider JW (2020) Future of Business Survey Methodology Note. Facebook, November, 2020
Zurück zum Zitat Schwab K (2016) The Fourth Industrial Revolution. World Economic Forum
Zurück zum Zitat Sommarberg M, Mäkinen SJ (2019) A method for anticipating the disruptive nature of digitalization in the machine-building industry. Technological Forecast Soc Change 146:808–819. https://doi.org/10.1016/j.techfore.2018.07.044CrossRef
Zurück zum Zitat Soto-Acosta P (2020) COVID-19 pandemic: shifting digital transformation to a high-speed gear. Inf Syst Manag 37(4):260–266. https://doi.org/10.1080/10580530.2020.1814461CrossRef
Zurück zum Zitat Stephen AT, Toubia O (2010) Deriving value from social commerce networks. J Mark Res 47(2):215–228. https://doi.org/10.1509/jmkr.47.2.215CrossRef
Zurück zum Zitat Syaifullah J, Syaifundin M, Sukendar MU, Junaedi J (2021) Social media marketing and business performance of MSMEs during the Covid-19 pandemic. J Asian Finance Econ Bus 8(2):523–531. https://doi.org/10.13106/jafeb.2021.vol8.no2.0523CrossRef
Zurück zum Zitat Syriopoulos K (2020) The impact of COVID-19 on entrepreneurship and SMEs. J Int Acad Case Stud 26(2):1–2
Zurück zum Zitat Taiminen HM, Karjaluoto H (2015) The usage of digital marketing channels in SMEs. J Small Bus Enterp Dev 22(4):633–651. https://doi.org/10.1108/JSBED-05-2013-0073CrossRef
Zurück zum Zitat Tilson D, Lyytinen K, Sorensen C (2010) Research commentary-digital infrastructures: the missing IS research agenda. Inf Syst Res 21(4):748–749. https://doi.org/10.1287/isre.1100.0318CrossRef
Zurück zum Zitat Tolba A, Karadeniz E, Boutaleb F, Bouhaddioui C, Menipaz E, Pereira F, Bueno Y, Alsaeed M, Schøtt T (2022) Exports during the pandemic: enhanced by digitalization. Small Enterp Res 29(3):308–327. https://doi.org/10.1080/13215906.2022.2141846CrossRef
Zurück zum Zitat Truant E, Broccardo L, Dana L (2021) Digitalization boosts company performance: an overview of Italian listed companies. Technological Forecast Soc Change 173:121173. https://doi.org/10.1016/j.techfore.2021.121173CrossRef
Zurück zum Zitat Ulas D (2019) Digital transformation process and SMEs. Procedia Comput Sci 158:662–671CrossRef
Zurück zum Zitat Upadhyay A, Mukhuty S, Kumar V, Kazancoglu Y (2021) Blockchain technology and the circular economy: implications for sustainability and social responsibility. J Clean Prod 293:12613010. https://doi.org/10.1016/j.jclepro.2021.126130CrossRef
Zurück zum Zitat Vial G (2019) Understanding digital transformation: a review and a research agenda. J Strateg Inf Syst 28(2):118–144. https://doi.org/10.1016/j.jsis.2019.01.003CrossRef
Zurück zum Zitat Vitolla F, Rubino M, Giakoumelou A, Petruzzella F, Raimo N (2020) Signaling digitalization through corporate websites: the effect on firm value. 2020 IEEE Int Conf Technol Manage Oper Decisions (ICTMOD) Marrakech, Morocco:1–7. https://doi.org/10.1109/ICTMOD49425.2020.9380592
Zurück zum Zitat Warner KS, Wäger M (2019) Building dynamic capabilities for digital transformation: an ongoing process of strategic renewal. Long Range Plann 52(3):326–349. https://doi.org/10.1016/j.lrp.2018.12.001CrossRef
Zurück zum Zitat Westerman G, Calméjane C, Bonnet D, Ferraris P, McAfee A (2011) Digital transformation: a roadmap for billion-dollar organizations. MIT Sloan Management, MIT Center for Digital Business and Capgemini Consulting, pp 1–68
Zurück zum Zitat Yıkılmaz İ (2021) Covid-19 Pandemic as a digital transformation catalyst. The Social and Economic Impact of COVID-19, 119
    Bildnachweise
    Schmalkalden/© Schmalkalden, NTT Data/© NTT Data, Verlagsgruppe Beltz/© Verlagsgruppe Beltz, EGYM Wellpass GmbH/© EGYM Wellpass GmbH, rku.it GmbH/© rku.it GmbH, zfm/© zfm, ibo Software GmbH/© ibo Software GmbH, Lorenz GmbH/© Lorenz GmbH, Axians Infoma GmbH/© Axians Infoma GmbH, genua GmbH/© genua GmbH, Prosoz Herten GmbH/© Prosoz Herten GmbH, Stormshield/© Stormshield, MACH AG/© MACH AG, OEDIV KG/© OEDIV KG, Rundstedt & Partner GmbH/© Rundstedt & Partner GmbH, Doxee AT GmbH/© Doxee AT GmbH