Digital and Sustainable (Twin) Transformations: A Case of SMEs in the European Union
Abstract
:1. Introduction
2. Literature Review
- (1)
- SME role. SMEs should have objectives to be digital and sustainable, and to follow strategic plans and policies that guarantee successful a twin transition, including proper communication, resources, training, and a change of organizational culture.
- (2)
- Knowledge role. Knowledge is required to understand and successfully implement twin transformation initiatives, with training for end-users to develop the skills and capabilities needed to work with new digital and sustainable approaches and reach practical effects.
- (3)
- Solution role. Companies have to support research and innovation activities that support the development of new solutions responding to SME needs, which are easy to use and user-friendly, that help to achieve a twin transformation.
Bibliometric Research on the Topic of Twin Transformations in SMEs
- The VOSviewer program is used for the analysis of the articles published during 2023 in the Web of Science database;
- Bibliographical coupling analysis helps to identify the co-linked words and clusters;
- The map for twin transformations in SMEs is established from revised studies based on the co-occurrences of main words in the titles of studies.
3. Factors That Influence SMEs’ Competitive Advantage Resulting from Twin Transitions
- (a)
- The number of SMEs that became digital and sustainable [69];
- (b)
- The resource productivity level reached during the twin transformation [70];
- (c)
- The market share gained for selling products produced using technologies that are friendly to the environment [71];
- (d)
- The initial investment [72];
- (e)
- The technical complexity [73];
- (f)
- Innovators (2.5%). Innovative companies are the first to introduce digital and sustainable practices. They often have a high appetite for risks and are willing to experiment with new technologies and sustainable initiatives. At this stage, the first users of digital technologies can invest in advanced technologies, such as artificial intelligence, the Internet of Things, or blockchain, to simplify their work and strengthen their sustainability efforts.
- Early adopters (13.5%). Early adopters closely monitor innovators. They monitor the successes and failures of innovators and take more calculated risks. These companies can integrate digital solutions such as cloud services, data analytics, and early sustainable practices into their business models.
- Early majority (34%). As digital and sustainable practices become more and more tested, most companies begin embracing them. These companies avoid more risks and require proof of the benefits of such conversions.
- The late majority (34%). Late majority companies are characterized by great skepticism and a refusal to change. Digital and sustainable practices can only be introduced if they become a universally accepted norm or are forced to be applied by the market. Implementation at this stage may include upgrading existing systems, optimizing supply chains for sustainability, and aligning with the industry environmental standards.
- Laggards (16%). Laggards are the latest companies to adopt digital and sustainable practices. They resist change and can only do so if they face serious problems or when their survival is threatened. At this stage, companies can implement key digital assets and sustainable measures in order to meet regulatory and customer needs.
4. Materials and Methods
- First, the progress of the twin transformation in SMEs between countries is investigated by using the indicators of the application of environment-oriented digital technologies in all EU-27 sectors, except the financial activities sector, using Eurostat data.
- Second, the authors provide the multi-criteria decision-making framework, using the background of the COPRAS method to assess SMEs seeking to define the status of twin transformations.
5. Statistical Analysis on Twin Transformation Progress in SMEs between Countries
- -
- Eurostat data on the use of ICT by SMEs in the EU can provide an overall picture of the level of digitalization. The high penetration of information and communication technologies may signal a stronger trend towards the sustainable activities of SMEs.
- -
- Eurostat data on the use of green or green ICT practices show how SMEs integrate sustainability into their digital strategies. This includes measures about the adoption of environmentally friendly technologies.
- -
- Eurostat’s monitoring of data on environmental reporting practices in SMEs that are active in the environmental sector can demonstrate the degree of ICT integration and sustainability. Digital tools play an important role in collecting, analyzing, and communicating information about an organization’s environmental performance.
6. Multi-Criteria Decision Making-Based Assessment Framework
- (1)
- The number of SMEs that became digital and sustainable (positive).
- (2)
- The resource productivity level reached during the twin transformation (positive).
- (3)
- The market share gained for selling products produced using technologies that are friendly to the environment (positive).
- (4)
- The initial investment (negative).
- (5)
- The technical complexity (negative).
- (6)
- The number of digital and sustainable technologies used by SMEs (positive).
- The calculation of weights for the factors;
- The revision of the consistency of experts’ judgments;
- The normalization of the values of the factors;
- The formation of priority sequence.
7. Discussions
8. Practical Consequences
9. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A. Calculation of Concordance Coefficient
Appendix B. Formed Matrix
Factors | Alternatives | Sum of Values | ||||||
Name | Direction | Weight | A1 | A2 | A3 | … | An | |
Values for Each Factor | ||||||||
C1 | Max | q1 | d11 | d12 | d13 | … | d1n | |
C2 | Max | q2 | d21 | d22 | d23 | … | d2n | |
C3 | Max | q3 | d31 | d32 | d33 | … | d3n | |
C4 | Min | q4 | d41 | d42 | d43 | … | d4n | |
C5 | Min | q5 | d51 | d52 | d53 | … | d5n | |
C6 | Max | q6 | d61 | d62 | d63 | … | d6n |
Appendix C. Normalized Matrix
Alternatives | Factors | The Sum of Normalized Maximizing Factors | The Sum of Normalized Minimizing Factors | The Relative Importance of Comparable Variants | |||||
Name | C1 | C2 | C3 | C4 | C5 | C6 | |||
Normalized Values | |||||||||
A1 | D11 | D21 | D31 | D41 | D51 | D61 | S+1 | S−1 | Q1 |
A2 | D12 | D22 | D32 | D42 | D52 | D62 | S+2 | S−2 | Q2 |
A3 | D13 | D23 | D33 | D43 | D53 | D63 | S+3 | S−3 | Q3 |
… | … | … | … | … | … | … | … | … | … |
An | D1n | D2n | D3n | D4n | D5n | D6n | S+n | S−n | Qn |
Sum | D1j | D2j | D3j | D4j | D5j | D6j |
Appendix D. The List of Abbreviations
EU | The European Union |
SME | Small and medium-sized enterprise |
ICT | Information and communication technologies |
DII | Digital intensity index |
twin | Digital and sustainable |
SD | Sustainable Development |
SDG | Sustainable Development Goals |
AHP | Analytical Hierarchy Process |
COPRAS | Complex Proportion Assessment |
DEMATEL | Comprehensive method for building and analysing a structural model involving causal relationships among complex factors |
TOPSIS | Technique for Order of Preference by Similarity to Ideal Solution |
CO2 | Carbon dioxide |
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Factors | Positive/Negative |
---|---|
(a) Number of SMEs that became digital and sustainable | Positive |
(b) Resource productivity level reached during twin transformations | Positive |
(c) Market share gained for selling products produced using technologies that are friendly to the environment | Positive |
(d) Initial investment | Negative |
(e) Technical complexity | Negative |
(f) The number of digital and sustainable technologies applied by SMEs | Positive |
Model | Modeling Technique | Method of Solution | Sources |
---|---|---|---|
Mathematical programming methods | Single objective | Linear programming | [77] |
Multi objective | Multi-objective integer linear programming | [78] | |
Non-linear analysis | [79] | ||
Time series | Multiple regression | [74,80] | |
Causal models | Causality identification | Causal effect modeling | [81] |
Diagram of causal systems | [82] | ||
Heuristic methods | Heuristic approach | Fuzzy logic | [83] |
Metaheuristic | Genetic Algorithm | [84] | |
Analytical models | Multiple-criteria decision supporting methods | AHP | [85] |
COPRAS | [86] | ||
DEMATEL | [87] | ||
TOPSIS | [88] | ||
Systematic models | Delphi method | [89] | |
Network model | [90] | ||
Artificial intelligence methods | Language models | Large language models | - |
Stages | Approach toward the Twin Transition in SMEs | Technique to Achieve Results | Assessment of Compliance with the Requirements Important for the Transition |
---|---|---|---|
1st-stage | |||
The identification of the status of twin transformations in SMEs | The identification of current status and achievements | Data analysis and benchmarking with other enterprises of other sizes and among countries | Achievement in using green ICT practices, achieving environment-oriented performance, integrating sustainability into company strategy |
2nd-stage | |||
Measuring the performance of twin transformations in SMEs | The construction of multi-criteria decision making-based assessment framework | COPRAS, the ranking of factors by experts, the coefficient of concordance calculation for the revision of the consistency of experts’ judgments | The identification of the means necessary for twin transformations in SMEs development, which policymakers could then apply |
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Burinskienė, A.; Nalivaikė, J. Digital and Sustainable (Twin) Transformations: A Case of SMEs in the European Union. Sustainability 2024, 16, 1533. https://doi.org/10.3390/su16041533
Burinskienė A, Nalivaikė J. Digital and Sustainable (Twin) Transformations: A Case of SMEs in the European Union. Sustainability. 2024; 16(4):1533. https://doi.org/10.3390/su16041533
Chicago/Turabian StyleBurinskienė, Aurelija, and Jolanta Nalivaikė. 2024. "Digital and Sustainable (Twin) Transformations: A Case of SMEs in the European Union" Sustainability 16, no. 4: 1533. https://doi.org/10.3390/su16041533
APA StyleBurinskienė, A., & Nalivaikė, J. (2024). Digital and Sustainable (Twin) Transformations: A Case of SMEs in the European Union. Sustainability, 16(4), 1533. https://doi.org/10.3390/su16041533