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Sustainability in the digital age: Intended and unintended consequences of digital technologies for sustainable development

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Digital technologies contribute to more sustainable development – but also create unintended consequences. This was an underlying theme throughout all papers in our special issue “Sustainability in the Digital Age”, edited by Christina Bidmon, Jonatan Pinkse and myself. Whether it is social media sharing, using big data, or IoT technologies for sustainable development – next to contributing to sustainable development they also often result in unintended consequences for society, firms or individuals. We find that this is due to the ‘generative properties’ of digital technologies and needs to be understood a lot better. Read here why that is the case and what is next for science
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EDITORIAL
Sustainability in the digital age: Intended and unintended
consequences of digital technologies for sustainable
development
1|INTRODUCTION
Digitalization and sustainability are currently hottopics for
policymakers and practitioners. Scholars working on their interaction
have been cautious in their optimism, though. Not all digitalization
contributes to the creation of sustainable value. Some forms of digita-
lization accelerate consumption and inequalities and exacerbate
growth patterns that further breach the planetary boundaries. The
German Advisory Council on Global Change, for example, warns of
the dangers in its report Towards Our Common Digital Future
(WBGU, 2019), while the Club of Rome (2019) recommended in an
open letter to the EU President that we need to ensure that exponential
technologies, artificial intelligence (AI), and digitalization are optimized
for people, planet, and prosperity through the delivery of a low-carbon,
sustainable, socially just, well-being-oriented circular society.
Traditionally, sustainability has been viewed from a triple bottom
line perspective (i.e., environmental, social, and economic sustainabil-
ity). Sustainability in the digital age blurs the boundaries of the triple
bottom line and transcends the dimensions of sustainable value.
Assessing whether digital technology creates or destroys sustainable
value requires a more nuanced perspective, accounting for issues such
as ownership of identity, data safety, and digital waste, which coa-
lesce the physical and digital world. Digital technologies hold much
potential for solving some of society's most pressing problems such as
climate change, poverty, and resource depletion. Smart algorithms,
connected devices, and big data support the reorganization of supply
chains, enable resource- and energy-efficient consumption, and accel-
erate the diffusion of sustainable innovation. Yet, digitally enabled
work formats, ubiquitous e-commerce, and the sharing economy also
raise new issues that cast doubt on the digital economy's net effect
on sustainability, such as an increase in energy use and resource usage
to produce hardware (Itten et al., 2020).
This introductory article and the articles included in this special
issue look beyond the direct effects of digital technologies and cast
light on the unintended consequences of digital technologies for sus-
tainable development. In the following, we discuss the positive and
negative impacts of digital technologies for sustainability, the different
levels at which they arise, and show their relation in an organizing
framework. We conclude by positioning the special issue articles
within the framework and outline avenues for future research on the
intersection of digitalization and sustainability.
2|INTENDED AND UNINTENDED
CONSEQUENCES OF DIGITALIZATION FOR
SUSTAINABILITY
2.1 |The ambiguity of digital technologies
New sustainable technologies afford advantages as they bring more
comfort or enable more efficient production processes. Yet, they also
have drawbacks. The dust-to-dustanalysis of electric vehicles (EVs)
shows, for instance, that EVs reduce emissions, especially when
renewable energy is used to charge the battery. However, EV
manufacturing creates higher strains on natural resources, primarily
due to the greater use of (rare) metals and energy needed for battery
production (Del Pero et al., 2018). Similar issues arise for other sus-
tainable technologies. Carbon capture usage and storage might lead
to a reduction in carbon emissions but prolongs the lifetime of indus-
tries that cause lots of other forms of pollution (Volkart et al., 2013).
Trade-offs in sustainability are common because it encompasses many
different (rival) objectives (Hahn et al., 2010).
Digital technologies are ambiguous in their impact, too. They
offer positive effects when they create more efficient processes
(e.g., smart farming can save up to 60% of fertilizers and with that
energy use), enable more social inclusivity by being borderless
(e.g., virtual events let anyone in the world participate), and create
transparency and accountability (e.g., via reviews). Digital products
can be used longer than physical products when their software is
upgraded, and they can be created at low cost and large scale. Digital
technologies spark creativity and form the basis of novel sustainable
solutions such as platforms against food waste (Ciulli et al., 2020), dig-
ital payment systems (e.g., M-Pesa), or shared mobility platforms.
However, digital technologies have a dark side. Their use can lead
to severe negative consequences as they do not only enable the
creation but also the destruction of sustainable value (Bocken
et al., 2013). Recent studies have shown that climate change impacts
of ICT manufacturing have doubled and the material footprint has
quadrupled(Itten et al., 2020, p. 2094). Global ICT uses almost 10%
of global energy, which is expected to rise to 20%, and Big Tech's
dominance (e.g., GAFAGoogle, Amazon, Facebook, Apple) central-
izes tremendous power in the hands of a few (Andersen et al., 2021).
Digital technologies raise social and ethical concerns, too, such as data
privacy and consumer lock-in (Acquier et al., 2017). Intelligent
DOI: 10.1002/bse.2938
Bus Strat Env. 2021;14. wileyonlinelibrary.com/journal/bse © 2021 ERP Environment and John Wiley & Sons Ltd. 1
algorithms have proven to create bias for gender and skin type
(MIT, 2018), and social media platforms allow the spreading of fake
news (Vosoughi et al., 2018).
2.2 |Properties of digital technologies and their
unintended consequences
The sustainability impact of digital technologies is ambiguous and dif-
ficult to establish. But why is it difficult to disentangle their positive
and negative consequences for society? The reason is that digital
technologies have specific properties: They have reprogrammable
functionality, as they can be updated while in use, and they homoge-
nize data, as everything can be stored in 0's and 1's (Yoo et al., 2010).
This combination of properties creates two effects: convergence and
generativity (Yoo et al., 2012). Convergence implies that industry
boundaries get blurred and digital ecosystems emerge, while gener-
ativity refers to unprompted change driven by large, varied, and
uncoordinated audiences(Zittrain, 2006, p. 1980). While digital
technology connects people in new ways and lets them participate,
for example, in content creation, this process is largely uncoordinated.
As a result, the introduction of digital technologies can have
unpredictable effects on individuals, industry, and society which can
fast spiral out of control (Hanelt et al., 2021). Their introduction can
create entirely new pathsthat is, new avenues for creating or
destroying valuewhich those originally introducing the technology
did not intend (Bohnsack et al., 2021). When new paths compromise
or marginalize the net effect of the intended sustainable outcome,
digital technologies can unintendedly lead to the disruption of social,
economic, or political arrangements and trigger ethical dilemmas
(Xiaowei et al., 2016).
In fact, new technologies have always led to unintended conse-
quences. The industrial revolution improved daily lives, made work
cheaper, and employed many people; yet it also led to exploitation,
overpopulation, and environmental damage. One could argue, though,
that digital technologies' unintended consequences are different
because previous waves of change were triggered by physical tech-
nologies and the negative effects were somewhat predictable. Digital
technologies have a more unpredictable and generative impact on
society. With an element of chance and scale, they create entirely
new issues that are without precedence. These unintended conse-
quences can be positive or negative and benefit or hamper the initial
intended outcome of technologies. Moreover, digital technologies can
create entirely new paths, altogether.
2.3 |Toward an organizing framework
Figure 1 presents an organizing framework that summarizes the
potential impact of digital technologies for sustainability. First, a digi-
tal technology's introduction has first-order consequences for sustain-
able value creation as intended positive impacts are realized or not.
While a technology has deliberate sustainable benefits on introduc-
tion, it only becomes clear when in use whether these benefits are
realized (Pinkse & Bohnsack, 2021). A technology's sustainable bene-
fits are often amplified when the technology enters the market but
might get marginalized when it is not used appropriately. The technol-
ogy can also prove unsuccessful and be abandoned, leading to neither
positive nor negative outcome. Second, due to generativity, a digital
technology's introduction also has unintended consequences for sus-
tainability: It creates positive or negative side effects that either cre-
ate additional sustainable value or destroy existing sustainable value
instead. These unintended consequences can add to the realized out-
come or create entirely new paths. Our framework purports that it is
these new paths that trigger important positive or negative second-
order consequences for individuals, industry, or society which might
FIGURE 1 Digital technologies' intended and unintended consequences for sustainability [Colour figure can be viewed at wileyonlinelibrary.
com]
2EDITORIAL
well trump the first-order consequences. Insight into the impact of
digital technology on sustainability thus requires assessing both direct
effects (first-order consequences) and indirect effects (second-order
consequences).
The articles in this special issue shed light on the different effects
of and the interplay between digital technologies' intended and
unintended consequences for sustainable development. In the first
article, Reuter (2021) shows how the intended outcome of a digital
technology (Point 1 in Figure 1) is moderated by the underlying logic
of a firm's business model, that is, for-profit, for-purpose, or a combi-
nation. Based on a case study of the electricity firm Piclo Flex, the
article shows that digital platforms can integrate multiple design
themes within hybrid business models to tackle tensions between for-
profit and for-purpose objectives. However, as Di Maria et al. (2021)
survey results reveal, even when the intentions are there, full sustain-
able benefits will only be realized under certain conditions (Point 2).
Their study provides evidence that adopting Industry 4.0 technologies
in supply chains (i.e., smart manufacturing technologies and data
processing technologies) can have positive circular economy results
but requires stakeholder collaboration to realize the full sustainable
outcome.
While the first two articles study direct effects, the remaining
articles show that indirect effects are at play, too, when digital tech-
nologies are adopted, which create unintended consequences (Point
3) or new paths (Point 4). Knight et al. (2021) examine how firms use
social media to communicate their sustainability efforts. While firms
adopt social media with the intention to brush up their sustainability
profile, their qualitative comparative analysis reveals that information
quality and credibility of sources affect whether messages are indeed
shared and, more importantly, whether they are perceived as green-
washing, an unintended consequence. Further to this point, Cappa
et al. (2021) show that, for cities, leveraging citizen science and big
data creates a double-edged sword for sustainable urban develop-
ment. While these technologies encourage citizen engagement and
generate tax savings, they also lead to privacy concerns due to the
storage of personal information in the cloud. As Hellemans et al.
(2021) illustrate, the very design of digital technologies and the inter-
actions they facilitate could also create entirely new paths (Point 4). In
their qualitative study of a digital platform to tackle food waste, they
show that the platform's design choices are key not only to stimulate
engagement but also to avoid entirely unintended consequences such
as discrimination and bad working conditions. While platform design
facilitates knowledge exchange, if diversity is not managed properly,
new paths will emerge that only bring together like-minded people,
thus further excluding people who are already marginalized.
2.4 |Outlook and opportunities for future
research
Since digital technologies have become pervasive, sustainability
scholars need to get a better understanding of their consequences for
sustainable development. This special issue shows how various digital
technologies including social media, Industry 4.0 technologies, digital
and sharing platforms, and citizen science show promise and have
their drawbacks. Our organizing framework stresses the need to not
only reckon with first-order but also second-order consequences,
which might very well derail or amplify initial positive impacts.
Research at the intersection of digitalization and sustainability is
only starting, and the articles in this special issue make important
contributions to the debate on how digital technologies can be a
force for good. While the articles focused on digital technologies for
sustainable development, sustainability in the digital age involves
the entire digital economy. Recent examples such as the introduc-
tion of face recognition for pupils' lunch payment (Vincent, 2021),
blockchain-enabled contracts, and the emerging Metaverse
(Hackl, 2021) show how digital transformation is rapidly changing
society with myriad consequences for sustainability that need to be
better understood.
Three streams of research are particularly relevant for sustainabil-
ity scholars: societal dynamics, firm dynamics, and individual
dynamics. Like corporate sustainability (Whiteman et al., 2013), the
consequences of digital technologies must be understood at multiple
levels. Digitalization's positive effects for firms will not automatically
translate into positive effects for individuals or society. It is important
to understand first- and second-order consequences on and across
different levels. Although generativity makes it impossible to fully
forecast second-order consequences and new paths, a first step is to
disentangle effects on each level. On an individual level, a key ques-
tion is which consequences digital technologies have for lifestyles,
decision-making, and social interactions and how they affect the func-
tioning of organizations and societies. Digital technologies like track-
ing devices can facilitate sustainable lifestyles but reduce the need for
physical, local contacts, thus changing the way communities form and
function. On an organizational level, it is critical to not only keep track
of the direct consequences of digital transformation for production
and coordination processes of a focal firm but also of implications for
users, suppliers, competitors, employees, and society. While it is
important to study how digital technologies make the creation and
capture of value more sustainable, a comprehensive analysis should
also identify potential trade-offs such as rebound effects in energy
consumption or privacy concerns related to AI. On a societal level,
there are questions around the governance of digital technologies and
their use for solving societal challenges which cannot be answered
without understanding the consequences digital technologies have on
individuals and organizations. To grasp how digital technologies can
support sustainable development, future research should trace their
effects across levels and find analysis tools that allow to link micro,
meso, and macro levels.
To conclude, then, understanding what sustainability means in a
digital age is crucial to prevent that the planetary boundaries are
breached any further. The organizing framework and contributions in
this special issue provide a novel lens to guide practitioners and
researchers to develop critical thinking and not only consider the
opportunities but also the drawbacks of digitalization. We hope that
this special issue will kick-start further analysis and debate, as there is
EDITORIAL 3
still limited understanding whether digitalization is a blessing or a
curse for sustainable development.
ACKNOWLEDGMENTS
We would like to thank the authors and reviewers for their continu-
ous work on and support of this special issue despite the COVID-19
pandemic. We would further like to thank the participants of the
GRONEN2020 Conference in Lisbon, Portugal, the conference that
gave rise to the idea of guest editing this special issue.
René Bohnsack
1
Christina M. Bidmon
2
Jonatan Pinkse
3
1
Cat
olica Lisbon School of Business & Economics, Lisbon, Portugal
2
Copernicus Institute for Sustainable Development, Utrecht University,
Utrecht, The Netherlands
3
Alliance Manchester Business School, University of Manchester,
Manchester, UK
Correspondence
Réne Bohnsack, Cat
olica Lisbon School of Business & Economics,
Lisbon, Portugal.
Email: r.bohnsack@ucp.pt
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4EDITORIAL
... Indeed, without a cultural hange, digital technologies risk being underutilized and failing to reach their full transformative potential (Westerman, 2014). To illustrate some changes that are recently taking place within companies thanks to digital transformation, we can observe that AI is providing predictive analysis tools that enable companies to make data-driven decisions more quickly and accurately (Bohnsack et al., 2022). Blockchain, with its security and transparency features, is revolutionizing supply chain management and increasing trust in transactional processes, while 5G is bringing advanced connectivity that allows for more sophisticated real-time industrial and IoT applications (Reuter, 2021). ...
... Therefore, this study extends beyond business competitiveness to encompass a broader and more integrated understanding of environmental sustainability (Stroumpoulis & Kopanaki, 2022). Moreover, while recent studies have begun to explore the role of DTs in environmental sustainability (He et al., 2022;Appio et al., 2021;Bohnsack et al., 2022), these studies often lack a focus on specific industrial contexts. For example, the manufacturing industry is well known for its significant environmental footprint, including high energy consumption and pollution levels (Conejo et al., 2020). ...
... Moreover, while recent studies have begun to explore the role of DTs in ES (He et al., 2022;Appio et al., 2021;Bohnsack et al., 2022), they often lack a focus on specific industrial contexts. For instance, the manufacturing industry is notorious for its environmental footprint, including high energy consumption and pollution (Conejo et al., 2020). ...
Thesis
The digital age has ushered in a profound societal shift, redefining the foundations upon which modern life is based and pushing us towards a visionary societal model called "Society 5.0" (Carayannis et al., 2023). This model, conceived in Japan, represents a vision of an advanced society in which digital technologies are harmoniously integrated to meet social and environmental needs, creating an inclusive and sustainable environment (Deguchi et al., 2020). Among the key technologies driving this change are technologies such as artificial intelligence (AI), big data, robotics, augmented reality, and virtual reality. These technologies leverage an enabling technology such as IoT not only for its direct applications but, more importantly, for its ability to collect data in a way that enhances sophisticated analytical and predictive capabilities (Lee et al., 2015). In fact, IoT, which plays a central role in this study, is considered a network of connected smart devices that collects and transmits real-time data, supporting resource optimization and continuous process monitoring (Ahmad et al., 2021). Given its characteristics, IoT represents also a key tool for addressing global sustainability challenges. Indeed, as stated by Nižetić et al. (2020), IoT facilitates a continuous and dynamic interaction between the physical world and digital environments, enabling innovative solutions to promote environmental sustainability. Tracing the steps that have led to this Society 5.0, it is evident that the input came from digital transformation, a process that has been evolving since the early 2000s, marked by the widespread adoption of digital technologies and their integration into every aspect of business operations (Hanelt et al., 2021). This transformation has become a pillar of contemporary organizational strategy, fundamentally altering the way companies operate and compete in the modern economy (Nadkarni et al., 2021). The term digital transformation refers to the adoption and integration of digital technologies across all aspects of an organization, enhancing efficiency and promoting innovation, resulting in increased value creation (Vial, 2021). However, digital transformation also implies a profound change in business processes, business models, and organizational culture. Consequently, adopting a digital approach requires flexibility, as companies must be ready to continuously review their processes, adapt their operational strategies, and promote a culture of continuous innovation (Warner et al., 2019). This flexibility also contributes to the development of new revenue streams, the improvement of operational resilience, and the rapid adaptation to market changes, fostering greater agility and proactive responses to emerging challenges (Li et al., 2021). Leadership plays a crucial role in this process, as it must drive change, encourage experimentation, and support a long-term vision for digital adoption (Westerman, 2014; Hanelt et al., 2017). Indeed, without a cultural hange, digital technologies risk being underutilized and failing to reach their full transformative potential (Westerman, 2014). To illustrate some changes that are recently taking place within companies thanks to digital transformation, we can observe that AI is providing predictive analysis tools that enable companies to make data-driven decisions more quickly and accurately (Bohnsack et al., 2022). Blockchain, with its security and transparency features, is revolutionizing supply chain management and increasing trust in transactional processes, while 5G is bringing advanced connectivity that allows for more sophisticated real-time industrial and IoT applications (Reuter, 2021). Thus, the challenge lies in strategically integrating these technologies to create a more efficient operational environment capable of enhancing customer interaction and product quality (Porter et al., 2015). Furthermore, digital transformation fosters cross-sector collaboration and dynamic skills management, enabling organizations to better adapt and innovate. This phenomenon allows companies to adapt more efficiently to new market demands and foster an innovative environment (Wibowo, 2023). Indeed, digital platforms enable unprecedented knowledge and resource sharing, enhancing open innovation and co-creation with external partners (Trabucchi et al., 2023). Several companies are developing digital ecosystems involving startups, suppliers, and customers to accelerate the development of new technological solutions and address common challenges such as environmental sustainability and energy efficiency (European Commission, 2022). This collaborative approach is essential for remaining competitive in an increasingly complex and rapidly evolving global context. After carefully analyzing how digital transformation reshapes business processes and strategic objectives, it is important to comprehend how these changes fit into a broader sustainability framework, in line with the United Nations Sustainable Development Goals (SDGs). Specifically, the SDGs are a set of 17 global goals adopted by the United Nations in 2015, designed to address major global challenges, including poverty, inequality, climate change, peace, and justice. These goals provide a common framework for promoting a sustainable future for all, encouraging countries, organizations, and individuals to contribute to social, economic, and environmental progress. In this regard, when discussing sustainability, it is important to specify that it involves the interaction of three fundamental dimensions: environmental, economic, and social sustainability (UN 2015). Environmental sustainability emphasizes the responsible management of natural resources to ensure their availability for future generations while minimizing negative impacts such as pollution and biodiversity loss (Cabezas et al., 2003). Economic sustainability aims to ensure long-term economic growth without negatively affecting environmental or social aspects (Foy, 1990). Social sustainability, meanwhile, focuses on improving the quality of life for individuals and communities, ensuring equitable resource distribution, and promoting social inclusion (Geissdoerfer, 2017). This thesis focuses particularly on environmental sustainability, emphasizing the responsible management of natural resources to minimize environmental impacts such as pollution, resource depletion, and biodiversity loss (Gallo et al., 2020). As pressures on environmental sustainability increase, companies are increasingly required to adopt practices such as decarbonization, waste reduction, and lean production methods to ensure resilience and adaptability to the challenges of climate change (Beier et al., 2022; Muench et al., 2022). According to the review of Gissi et al., (2021), the average global temperature has increased by approximately 1.1°C since the late 19th century, and greenhouse gas emissions have reached record levels, contributing to the intensification of extreme weather events such as heatwaves, floods, and wildfires (Legg - IPCC, 2021). These climatic disruptions pose significant risks to both ecosystems and economic stability, underlining the urgent need for sustainable practices and technology has the potential to significantly advance sustainability efforts (Minz et al., 2024). Consequently, it is evident that a comprehensive, integrated approach is essential to drive systemic change effectively. This approach is encapsulated by the concept of the twin transition which refers to the concurrent digital and green transformations that are increasingly recognized as a strategic necessity to promote a sustainable and resilient economy. This transition emphasizes the synergy between digital transformation and environmental sustainability, demonstrating that the adoption of digital technologies can effectively promote and accelerate sustainable practices (European Commission, 2022). To move towards the twin transition, leader must balance economic objectives with environmental and social needs by creating integrated strategies (Chen et al., 2023). The twin transition offers industries the chance to improve operational efficiency while reducing their environmental footprint (Costa, 2024). Beyond efficiency gains, it also fosters innovation in business models, such as transitioning from linear to circular economies, where sustainability is central to value creation (Asgari et al., 2021). Effective leadership is key in guiding this transition, cultivating a strategic vision that seamlessly integrates digital and environmental objectives (Mehmood, 2024). Aligning digital and green goals helps organizations meet regulatory standards and achieve a sustainable competitive edge, linking profitability with environmental responsibility (Mäkitie et al., 2023). In fact, adopting digital innovations and sustainable practices allows companies to be better equipped to cope with external shocks, such as those caused by climate change or economic crises (Khurana et al., 2022). At the technological level, IoT, AI, Blockchain, big data, cloud computing, and digital twin are identified among the main components of twin transition and can be leveraged not only to reduce carbon emissions but also to promote more sustainable use of energy resources, thereby improving overall efficiency and environmental impact (Appio et al., 2024). Specifically, IoT was chosen as the focus of this research due to its distinct capability to enable advanced technologies like Big Data and Artificial Intelligence through its real-time data collection and transmission (Plageras et al., 2018). This detection capability makes IoT an essential technology in key sectors for sustainability, such as those related to natural resource management, transport optimization, and carbon emission reduction (Bibri et al., 2024). Indeed, the continuous data stream from IoT devices enables the development of sophisticated analytical and predictive systems, thereby enhancing the effectiveness of digital solutions aimed at promoting environmental sustainability (Ghobakhloo et al., 2022). Although academia extensively explores the potential of digital technologies and their broader applications, it has paid less attention to the specific intersection between these technologies and environmental sustainability. The field tends to analyze the two dimensions—digital innovation and sustainability—more as separate phenomena rather than focusing on their growing integration and synergies (Costa, 2024). This represents a gap in the literature, as a deeper understanding of how digital technologies, such as IoT, can be leveraged to address environmental challenges is essential. It is precisely in this work of analyzing the relationship between IoT and environmental sustainability that several gaps have emerged, which have slowed the full understanding and application of this technology in promoting sustainable practices (Mois et al., 2017). One of the primary challenges lies in identifying the most impactful IoT applications for achieving specific environmental objectives (Alalwan et al., 2024). For instance, while patented technologies for traffic management and energy control have demonstrated a significant contribution to urban sustainability, it remains to be explored how these can be adapted to meet the needs of diverse industrial sectors and specific regional contexts (Gopi et al., 2021). Furthermore, in the context of the manufacturing industry, this challenge is exacerbated by the difficulty in rigorously measuring the impact of IoT technologies on operational efficiency and emission reduction (Acquaye et al., 2017). The lack of standardized metrics and assessment tools that can quantify the ecological benefits of IoT complicates the justification of investments and limits the large-scale adoption of such solutions (Brous et al., 2020). This study aims to address these gaps by exploring the following research questions: the role of digital technologies in achieving environmental sustainability, the most effective applications of these technologies for addressing environmental challenges, and the future innovation trajectories that can contribute to environmental sustainability. The objective is to investigate these questions through a progressive analysis, starting with an examination of corporate perceptions, followed by a review of academic literature, and culminating in a mapping of emerging technological innovations.
... Cross-cutting themes from adjacent marketing literature Instruments Guiding questions Twin transition of digital & sustainable economy* • How can we leverage digitalisation for a sustainable transition while minimising its footprint? (e.g., Bohnsack et al., 2022) • How can AI help 'dematerialise' consumption and reduce the overall footprint? (e.g., Paredes-Frigolett & Pyka, 2023) • How can we leverage social media platforms and other forms of digitalisation to normalise sustainable lifestyles in the Anthropocene? ...
... • How can we instil the prudent use of digitalisation and take on strong sustainability requirements for digitalisation? (e.g., Bohnsack et al., 2022) • How can we encourage sustainable usage of digitalisation and social media (& discourage unsustainable usage) and move away from addictive algorithms towards new forms of sustainable marketing that fit in the Good Anthropocene? (e.g., Bocken & Short, 2021) Service economy* • How might service driven business models help create regenerative offerings? ...
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... Although some studies have examined the relationship between digitalization and business performance (Jardak & Ben Hamad, 2022;Li et al., 2022;Ren & Li, 2023), the scope of digitalization examined in research models of managerial strategies has not often extended to advanced technologies such as AI, big data, or cloud computing. Additionally, since adopting digital technologies may lead to unintended sustainability impacts, it is important to account for consequences at multiple levels beyond the intended results (Bohnsack et al., 2022). ...
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... Despite these benefits, the relationship between digitalization and environmental performance remains contested. While some studies report positive outcomes from digital adoption (Pan et al., 2024;Sheng et al., 2023), others highlight unintended consequences, such as increased energy use or electronic waste, complicating this relationship (Bohnsack et al., 2022;Chiarini, 2021;De Giovanni, 2021). ...
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... Digitalization can optimize resource usage and facilitate novel business models [5], while sustainable practices can enhance the efficiency and longevity of digital technologies [6], [7]. However, it is crucial to consider both the intended and unintended of these integrations [8]. ...
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