Green Entrepreneurship and Digital Transformation of SMEs in Food Industry: Α Bibliometric Analysis

Authors

  • George Sklavos University of Thessaly
  • Marie-Noelle Duquenne University of Thessaly
  • George Theodossiou University of Thessaly

DOI:

https://doi.org/10.47743/saeb-2022-0027

Keywords:

green entrepreneurship, digital transformation, food industry, Business performance, Greece, COVID-19.

Abstract

The emerging of green entrepreneurship and digital transformation improve businesses’ efficiency and meet consumers’ demand for environmentally sustainable products, reducing the environmental footprint and strengthening corporate responsibility to society. Moreover, the COVID-19 pandemic has become a key event changing our lives while businesses have to change their daily operations and working from home has become the norm. So, it is possible to say that business activities and business models have undergone some form of digital transformation due to the COVID-19 pandemic. In Greece, the Food Industry can be characterized as one of the most dynamic and competitive economic sectors which is distinguished for its growth prospects. The aim of this study is twofold: (i) to investigate the impact of green entrepreneurship and digital transformation into the performance of Greek SMEs in the food sector and (ii) to highlight the new trends integrated in new business models in the sector. To meet the research purpose, a bibliometric and co-citation analysis was used based on the R package and graphene as a subject of research for bibliometric analysis. The knowledge gained in this article shows how the digital transformation changed the functioning of the companies in the food industry. The conclusions of this article are mainly for the enterprises that are considering their own digitalization, which contributes to the long-term sustainability of them.

Author Biographies

George Sklavos, University of Thessaly

Department of Business Administration

Marie-Noelle Duquenne, University of Thessaly

 Department of Planning and Regional Development

George Theodossiou, University of Thessaly

Department of Business Administration

References

Ahmadi, M., Mohd Osman, M. H., & Aghdam, M. M. (2020). Integrated exploratory factor analysis and Data Envelopment Analysis to evaluate balanced ambidexterity fostering innovation in manufacturing SMEs. Asia Pacific Management Review, 25(3), 142-155. http://dx.doi.org/10.1016/j.apmrv.2020.06.003

Allen, F., Gu, X., & Jagtiani, J. (2022). Fintech, Cryptocurrencies, and CBDC: Financial Structural Transformation in China. Journal of International Money and Finance, 124(June), 102625. http://dx.doi.org/10.1016/j.jimonfin.2022.102625

Alwis, S. D., Hou, Z., Zhang, Y., Na, M. H., Ofoghi, B., & Sajjanhar, A. (2022). A survey on smart farming data, applications and techniques. Computers in Industry, 138(June ), 103624. http://dx.doi.org/10.1016/j.compind.2022.103624

Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. http://dx.doi.org/10.1016/j.joi.2017.08.007

Baltas, N. C. (2008). An Analysis of Investment Activity in the Greek Agricultural Products and Food Manufacturing Sector. Journal of Economic Asymmetries, 5(2), 73-80. http://dx.doi.org/10.1016/j.jeca.2008.02.005

Bedell-Pearce, J. (2018). Safe digital transformation for SMEs. Network Security, 2018(11), 6-7. http://dx.doi.org/10.1016/S1353-4858(18)30110-7

Behera, B. S., Panda, B., Behera, R. A., Nayak, N., Behera, A. C., & Jena, S. (2015). Information communication technology promoting retail marketing in agriculture sector in india as a study. Procedia Computer Science, 48(C), 652-659. http://dx.doi.org/10.1016/j.procs.2015.04.148

Boursianis, A. D., Papadopoulou, M. S., Diamantoulakis, P., Liopa-Tsakalidi, A., Barouchas, P., Salahas, G., . . . Goudos, S. K. (2022). Internet of Things (IoT) and Agricultural Unmanned Aerial Vehicles (UAVs) in smart farming: A comprehensive review. Internet of Things, 18, 100187. http://dx.doi.org/10.1016/j.iot.2020.100187

Brown, D., Hall, S., & Davis, M. E. (2019). Prosumers in the post subsidy era: An exploration of new prosumer business models in the UK. Energy Policy, 135(December), 110984. http://dx.doi.org/10.1016/j.enpol.2019.110984

Bui, T. D., Tsai, F. M., Tseng, M. L., Tan, R. R., Yu, K. D. S., & Lim, M. K. (2021). Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis. Sustainable Production and Consumption, 26(April), 373-410. http://dx.doi.org/10.1016/j.spc.2020.09.017

Chaudhuri, A., Subramanian, N., & Dora, M. (2022). Circular economy and digital capabilities of SMEs for providing value to customers: Combined resource-based view and ambidexterity perspective. Journal of Business Research, 142(March ), 32-44. http://dx.doi.org/10.1016/j.jbusres.2021.12.039

Donaldson, D. A. (2022). Digital from farm to fork: Infrastructures of quality and control in food supply chains. Journal of Rural Studies, 91(April), 228-235. http://dx.doi.org/10.1016/j.jrurstud.2021.10.004

Ellegaard, O., & Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact? Scientometrics, 105(3), 1809-1831. http://dx.doi.org/10.1007/s11192-015-1645-z

Fan, H. (2022). The digital asset value and currency supervision under deep learning and blockchain technology. Journal of Computational and Applied Mathematics, 407(June), 114061. http://dx.doi.org/10.1016/j.cam.2021.114061

Faruk, M., Rahman, M., & Hasan, S. (2021). How digital marketing evolved over time: A bibliometric analysis on scopus database. Heliyon, 7(12), e08603. http://dx.doi.org/10.1016/j.heliyon.2021.e08603

Fraser, A. (2022). ‘You can’t eat data’?: Moving beyond the misconfigured innovations of smart farming. Journal of Rural Studies, 91(April ), 200-207. http://dx.doi.org/10.1016/j.jrurstud.2021.06.010

Hadjielias, E., Christofi, M., Christou, P., & Hadjielia Drotarova, M. (2022). Digitalization, agility, and customer value in tourism. Technological Forecasting and Social Change, 175(C), 121334. http://dx.doi.org/10.1016/j.techfore.2021.121334

Hossain, M. R., Akhter, F., & Sultana, M. M. (2022). SMEs in Covid-19 Crisis and Combating Strategies: A Systematic Literature Review (SLR) and A Case from Emerging Economy. Operations Research Perspectives, 9, 100222. http://dx.doi.org/10.1016/j.orp.2022.100222

Kamaruzzaman, W. M. I. W. M., Nasir, N. A. M., Hamidi, N. A. S. M., Yusof, N., Shaifudin, M. S., Suhaimi, A. M. A. A. M., . . . Ghazali, M. S. M. (2022). 25 years of progress on plants as corrosion inhibitors through a bibliometric analysis using the Scopus database (1995–2020). Arabian Journal of Chemistry, 15(4), 103655. http://dx.doi.org/10.1016/j.arabjc.2021.103655

Kok, A., Oostvogels, V. J., de Olde, E. M., & Ripoll-Bosch, R. (2020). Balancing biodiversity and agriculture: Conservation scenarios for the Dutch dairy sector. Agriculture, Ecosystems & Environment, 302( October ), 107103. http://dx.doi.org/10.1016/j.agee.2020.107103

Li, K., Kim, D. J., Lang, K. R., Kauffman, R. J., & Naldi, M. (2020). How should we understand the digital economy in Asia? Critical assessment and research agenda. Electronic Commerce Research and Applications, 44(November–December ), 101004. http://dx.doi.org/10.1016/j.elerap.2020.101004

Nekhoroshkov, V. P., Aroshidze, A. A., Nekhoroshkov, E. V., Yuchzhong, K., Avdokushin, E. F., Kotenko, A. G., & Timukhin, K. M. (2022). Logistics Efficiency of APEC Economies: Diagnosis, Interconnections and Digital Experience for Russia. Transportation Research Procedia, 61, 118-124. http://dx.doi.org/10.1016/j.trpro.2022.01.020

Niknejad, N., Ismail, W., Bahari, M., Hendradi, R., & Salleh, A. Z. (2021). Mapping the research trends on blockchain technology in food and agriculture industry: A bibliometric analysis. Environmental Technology & Innovation, 21(February ), 101272. http://dx.doi.org/10.1016/j.eti.2020.101272

Pan, W., Xie, T., Wang, Z., & Ma, L. (2022). Digital economy: An innovation driver for total factor productivity. Journal of Business Research, 139(February), 303-311. http://dx.doi.org/10.1016/j.jbusres.2021.09.061

Popkova, E. G., & Sergi, B. S. (2020). A Digital Economy to Develop Policy Related to Transport and Logistics. Predictive Lessons from Russia. Land Use Policy, 99(December), 105083. http://dx.doi.org/10.1016/j.landusepol.2020.105083

Ragazou, K. (2021). Business Strategies in HR in Times of Crisis: The Case of Agri-Food Industry in Central Greece. Businesses, 1(1), 36-50. http://dx.doi.org/10.3390/businesses1010004

Riccaboni, A., Neri, E., Trovarelli, F., & Pulselli, R. M. (2021). Sustainability-oriented research and innovation in ‘farm to fork’ value chains. Current Opinion in Food Science, 42( December ), 102-112. http://dx.doi.org/10.1016/j.cofs.2021.04.006

Said Mohamed, E., Belal, A. A., Kotb Abd-Elmabod, S., El-Shirbeny, M. A., Gad, A., & Zahran, M. B. (2021). Smart farming for improving agricultural management. The Egyptian Journal of Remote Sensing and Space Sciences, 24(3), 971-981. http://dx.doi.org/10.1016/j.ejrs.2021.08.007

Saputra, N., Sasanti, N., Alamsjah, F., & Sadeli, F. (2022). Strategic role of digital capability on business agility during COVID-19 era. Procedia Computer Science, 197, 326-335. http://dx.doi.org/10.1016/j.procs.2021.12.147

Shrivastava, A., Nayak, C. K., Dilip, R., Samal, S. R., Rout, S., & Ashfaque, S. M. (2021). Automatic robotic system design and development for vertical hydroponic farming using IoT and big data analysis. Materials Today: Proceedings. http://dx.doi.org/10.1016/j.matpr.2021.07.294

Suh, J. B., Nicolaides, R., & Trafford, R. (2019). The effects of reducing opportunity and fraud risk factors on the occurrence of occupational fraud in financial institutions. International Journal of Law, Crime and Justice, 56(March ), 79-88. http://dx.doi.org/10.1016/j.ijlcj.2019.01.002

Varshney, D., Kumar, A., Mishra, A. K., Rashid, S., & Joshi, P. K. (2021). India’s COVID-19 social assistance package and its impact on the agriculture sector. Agricultural Systems, 189(April), 103049. http://dx.doi.org/10.1016/j.agsy.2021.103049

Verdouw, C., Tekinerdogan, B., Beulens, A., & Wolfert, S. (2021). Digital twins in smart farming. Agricultural Systems, 189(April ), 103046. http://dx.doi.org/10.1016/j.agsy.2020.103046

Xie, L., Chen, Z., Wang, H., Zheng, C., & Jiang, J. (2020). Bibliometric and Visualized Analysis of Scientific Publications on Atlantoaxial Spine Surgery Based on Web of Science and VOSviewer. World Neurosurgery, 137( May ), 435-442.e434. http://dx.doi.org/10.1016/j.wneu.2020.01.171

Yang, Z., Chang, J., Huang, L., & Mardani, A. (2021). Digital transformation solutions of entrepreneurial SMEs based on an information error-driven T-spherical fuzzy cloud algorithm. International Journal of Information Management. Retrieved from https://doi.org/10.1016/j.ijinfomgt.2021.102384

Zhang, X., Gao, C., & Zhang, S. (2022). The niche evolution of cross-boundary innovation for Chinese SMEs in the context of digital transformation - Case study based on dynamic capability. Technology in Society, 68(February), 101870. http://dx.doi.org/10.1016/j.techsoc.2022.101870

Downloads

Published

2022-12-15

How to Cite

Sklavos, G., Duquenne, M.-N., & Theodossiou, G. (2022). Green Entrepreneurship and Digital Transformation of SMEs in Food Industry: Α Bibliometric Analysis. Scientific Annals of Economics and Business, 69(4), 651–668. https://doi.org/10.47743/saeb-2022-0027

Issue

Section

Articles

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.