Green Development Management Studies

Green Development Management Studies

Designing A Green Digital Identity Model Based on The Development of Technological Innovation

Document Type : Original Article

Authors
masoumeh pourbagher 1
saeed aghasi 2
1 Master's student, business management, marketing, Povidengad, Chalus, Iran
2 Assistant professor at the Department of Management, Faculty of Human Resource, Dehaghan unit, Islamic Azad University, Dehaghan, Iran
10.22077/jgdms.2025.8345.1212
Abstract
Introduction
Identity is defined as a set of data that uniquely identifies an individual (Pan et al., 2023). This definition focuses more on the data-driven aspects of identity, such as official documents such as ID cards, passports or digital profiles (White et al., 2019). Identity is not only an identification card, but also a set of personal and social data. This information covers various aspects such as biology, psychology, class, ethnicity, religion, economy, law, profession and health (Abbas et al., 2023). These various factors help to create a unique identity (Bakanshi, 2010). The Fourth Industrial Revolution is expected to transform the world through advances in digital innovation and artificial intelligence. This revolution represents a significant shift towards the integration of digital technologies into various aspects of society, potentially changing the way people interact with the digital world (Sullivan, 2011). Innovative technology development is a multifaceted process that significantly affects economic growth, innovation and sustainability. It involves the creation and use of new technologies that can lead to significant improvements in various sectors. Technology development projects are crucial for long-term growth and often lead to new products and processes. However, they are often mismanaged, leading to missed opportunities. Technological development involves assessing and enhancing a company's technological capabilities to maintain competitiveness, focus on innovation, strategic coordination and effective management of technological resources and risks (Silva et al., 2015). Digitalization has become the basis for companies to formulate an overall industrial development strategy. Entering the digital age, as an important pillar of the economic industry, organizations have begun to actively promote digital transformation. Digital has been considered as an important development (Marchova, 2021). With the promotion of green transformation and digital transformation, on the one hand, due to the complexity of the collaboration environment, the instability of digital green innovation (DGI) development among enterprises has increased, and the breadth and depth of digital green innovation development have been greatly affected (Zi et al., 2022). On the other hand, under the dynamic demand environment, the development of personalized and diversified products has become a difficult problem for enterprises. (Yang et al., 2023) Therefore, how to promote the development of digital green innovation among enterprises and meet the dynamic demand of consumers has become an important issue to be solved. With the deep integration of enterprises with the Internet and the Internet of Things, this relationship is continuously strengthened. Resource sharing among integrated enterprises has gradually become the norm (Le et al., 2022). The development of digital green innovation among these enterprises has gradually become a suitable mode of digital green innovation development.
 
Materials and Methods
Given that the purpose of this research is to design a green digital identity model based on the development of technological innovation; therefore, the research method is exploratory-applied in terms of purpose; cross-sectional in terms of data collection time; inductive-deductive in terms of philosophy; and survey in terms of data collection method or nature and research method. The meta-analysis method was used to conduct the research. The statistical population of the present study includes master's and doctoral theses from public and private universities between 2009 and 2011 in the field of green digital. Also, research published in reputable scientific, research and extension journals between 2009 and 2011 and whose subject is related to green digital are also considered as the population of this research. Books published in the field of digital between 2009 and 2011 were also used to conduct this research. The population size in this study was 100 scientific research articles, 11 theses, and 12 books in green digital and innovative technology. A total of 123 studies were reviewed.
 
Findings
The results of the study showed that the five main dimensions extracted from the green digital identity model include environmental sustainability, use of clean energy sources, reduction of e-waste, development of green technologies, promotion of awareness and education. In the category of environmental sustainability factors, all variables including reduction of greenhouse gas emissions, sustainable management of natural resources, design of sustainable digital systems, protection of biodiversity and responsible interaction with digital technologies have the greatest impact on providing a green digital identity model based on the development of technological innovation. In the category of factors using clean energy sources, all variables including the use of renewable energy sources, optimization of energy consumption, development of innovative technologies in energy storage, progress in smart distribution networks and combination of different energy sources have the greatest impact on providing a green digital identity model based on the development of technological innovation. In the category of factors for reducing e-waste, all variables including sustainable design, recycling and recovery of raw materials, repair and refurbishment of electronic products, optimal use of electronic products and design of low-power digital systems have the greatest impact on providing a green digital identity model based on the development of technological innovation. In the category of factors for developing green technologies, all variables including the use of energy-efficient sensors and controllers, the use of sustainable technologies in waste management, online reservation platforms according to sustainability criteria, the use of augmented reality and virtual reality technologies and the development of sustainable smart cities have the greatest impact on providing a green digital identity model based on the development of technological innovation. In the category of factors for promoting awareness and education, all variables including education and awareness about green technologies, promoting a green and sustainable culture, creating communication networks in building a green organizational identity, promoting green entrepreneurship relying on digital procedures and developing digital educational content have the greatest impact on providing a green digital identity model based on the development of technological innovation.
 
Discussion and Conclusion
Given that the development of green technologies is one of the dimensions identified, it is suggested to launch platforms that allow customers to view detailed information on the source and production stages of products. This information can include raw materials, production conditions, and environmental impacts. The use of blockchain can increase this transparency. Creating applications that provide consumers with information on sustainable ways to purchase and use products, such as maintenance tips to extend the product's life, and tips for recycling and reuse. Given that raising awareness and education is one of the dimensions extracted, it is suggested to create online communities and green loyalty programs. Launching online communities and loyalty programs that encourage consumers to buy from more sustainable brands.
Keywords
Green Innovation
Green Digital
Technological Innovation
Subjects

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Green Development Management Studies
Volume 4, Issue 3 - Serial Number 9
Autumn 2025
Pages 249-270

  • Receive Date 28 October 2024
  • Revise Date 22 December 2024
  • Accept Date 08 February 2025