Leveraging Digital Transformation for Organizational Growth

Abstract

Recent advancements in digital technologies have significantly impacted our daily lives and many organizations’ operations. Digitalization is influencing the way how we work, shop, travel, and communicate. In organizations, digital transformation (DT) leverages data to enhance operational performance and customer experiences, requiring strategic and organizational changes in culture, processes, and infrastructure. This complexity makes DT a critical puzzle for maintaining competitiveness. Understanding digital platforms, emerging technologies, and trends—collectively known as digital innovation—is crucial in successful DT strategies. Regardless of the type of digital strategy chosen, a DT initiative generally involves three key steps: evaluating current company purposes and processes, understanding market needs, and leveraging data for innovation to predict future customer needs. Indeed, in the era of machine learning and artificial intelligence (AI), data is vital for creating values and improving digital solutions, impacting both internal and external stakeholders.

As companies navigate a smarter, connected world, they must redefine strategies, impacting every step of their traditional value chain. As such, digital technologies are driving societal and industrial disruptions, fostering new business models through innovations, such as Internet of Things, cloud computing, big data analytics, and AI. In the current fourth industrial revolution, also known as Industry 4.0, despite the challenges, from organizational and cultural change, through cybersecurity, to data privacy and workforce displacement, digital tools offer opportunities to transform user experience, operational processes, and business models so that companies can remain competitive in a rapidly evolving digital landscape.

Introduction

In recent years, there have been significant advancements in digital technologies. At a high level, digitalization is influencing our daily routine, the way we work, shop, travel and commute, use data, connect technologies, or even communicate.1 On the other hand, in organizations, companies are reinventing their businesses using data as an asset to enable internal and external stakeholders in increased experiences towards more personalized approaches. This phenomenon is often referred to as digital transformation (DT), and even though technology plays an important role, strategical and organizational changes such as culture, processes, and infrastructure are all required to create values for both internal and external stakeholders.2 Such complexity makes the DT phenomenon a puzzle that organizations must solve to remain competitive in a constantly evolving digital world. While considering DT, it is essential to grasp the dynamics of digital platform ecosystems and emerging technologies, collectively termed digital innovation. Both digital innovation and transformation can profoundly impact business models during a company’s digitalization process, potentially causing digital disruptions. A successful transformation relies on three fundamental pillars: data, processes, and people. This involves:

• Examining current company purposes, values, and processes;
• Understanding market demands and translating customer needs into products and services;
• Leveraging data to drive innovation and predict future trends.

In the era of machine learning and artificial intelligence (AI), data is becoming increasingly important to create values and better digital solution experiences from one-time product transactions to customization and continuous services for both internal (any employee involved in the whole product/service lifecycle) and external stakeholders (customers). Customers are constantly changing their needs and buying behaviours with an increased demand to connect the physical with the digital world,3 which, in turn, is impacting industries in transforming their business models, product development processes, and organizational structures, a real-world challenge that many companies are facing right now.

In a smarter, connected world, organizations are indeed forced to redefine their strategies, and their choices will have a major impact on every step of the value chain as digital technologies will lead to the creation of new value paths for companies to remain competitive. In addition, the impact of these digital technologies (e.g., cloud computing, big data analytics, AI, mobile technologies, and social media)4 may extend beyond industries and reshape our societies. Nonetheless, despite the challenges, digital tools represent an opportunity. The large amount of data available throughout each touch point of the customer journey can now be leveraged by companies to digitally transform their businesses by focussing on three main key areas: user experience, operational processes, and business models (Figure 1).5

This review article will deep dive into the core principles of DT including data-driven innovation, exploring some case studies in several industries and how from strategy to execution digitalization can lead to organizational growth. The article will also delve into the hurdles and possibilities that DT and emerging technologies present, exploring their effects on organizations and societies.

DT and Data-Driven Innovation: Case Studies

DT is a process that has been studied for many years mainly triggered by the decentralization of parts in the value chain due to the technological progress. AI, blockchain, cognitive intelligence, the globalization of the economy, wearable devices, E-commerce and E-health, process innovation, Internet of Things (IoT), and the development of markets worldwide are influencing the way consumers behave, and companies have to adapt to address the new demands.6 Therefore, organizations have the compelling tasks of investigating how these technologies can be integrated into the current supply chains and creating new values to ­ultimately generate a more competitive and growing market.7 It is clear that data is taking a more central role in the DT phenomenon so that the experience for internal and external stakeholders is transformed. A typical example is the case of Netflix, a company that was born by renting DVDs using emails and became an early adopter of data analysis to better understand consumption preferences and anticipate or create trends, which have ultimately made this company a case study of success with a current value that has multiplied by 100 since inception.

Retail

Although not every technology disruption has to be of the magnitude of Netflix, self-driving cars, or ChatGPT, there are also instances whereby primitive technology can bring transformation and growth in companies. This is the example of self-automated checkouts at Uniqlo (Figure 2), a Japanese retailer company known for its high-quality, everyday clothing. Behind Uniqlo’s success, there is the mastermind of Takahiro Tambara, the chief information officer (CIO), who wanted to revolutionize the overall Uniqlo’s journey experience, for internal (employees) and external stakeholders (customers). Tambara quickly understood the concerns and employees’ friction points (e.g., long queues outside the shops in high shopping seasons) and with the use of simple technology made them help shoppers in more valuable ways. At the same time, Tambara thoroughly studied customers’ behaviours so that alongside the technology, a wow aspect could be introduced to the way shoppers would purchase products, making shopping and self-checkouts seamless.

The key to this whole operation was radio-frequency identification (RFID), chips that could be automatically identified in the price tags of Uniqlo’s products.8 Since the technology was becoming more precise and with the price of tags dropping, Uniqlo could ultimately reinvent the self-checkout experience. As such, the use of RFID chips paved the way for the generation of a large amount of data that Uniqlo could use to predict demand, adjust production, optimize distribution, prevent theft, and transform the overall stakeholders’ (internal and external) experience across the whole value chain. The new and improved system was part of a corporate DT that ultimately led to increased inventory accuracy by 25–30%, up to 50% reduction in out-of-stocks, up to 80% improvement in shipping and picking accuracy, and 25-time faster cycle counts.9 To achieve these objectives, Tambara turned Uniqlo’s pilot stores in experimental laboratories and made special tweaks to the whole process to understand customer needs and the way they interacted with Uniqlo’s products.8

Among the challenges Tambara had to face, executing the DT was at the top, including selling the idea to executives, factory managers, store employees, and Uniqlo shoppers. To bring innovation and transform a business is also about the people (who), other than the data (what) and the process (when). Indeed, how a digital mindset was instilled at Uniqlo is also one of the key ingredients of a successful DT strategy.

Transportation

In today’s digital era, industries like automotive and aviation, traditionally driven by physical assets, are now transforming their value creation process through digital advancements. With the advent of recent digital innovations, the core elements of products such as cars or aircrafts are no longer merely physical (mechanical and electrical parts) but smart (sensors, microprocessors, controls, digital user interfaces, etc.) and connectivity components (ports, networks to connect products with the cloud, antennae, etc.).10 The combination of these three elements has led to trends such as self-driving cars and car-sharing, generating new business models, giving rise to new market entrants, and transforming the current automotive ecosystem. Examples are Tesla and Uber, which have shaken the established automotive industry.11 As a consequence, original equipment manufacturers (OEMs) are no longer alone in the market, they have to align their strategies and shift the focus from product- to customer-centric. In fact, the new products’ capabilities, infrastructure, and the data they generate are reshaping every single function in the value chain from product development to after-sale services. Above all, products can continuously monitor and report on their condition and ­environment which customers can control by numerous remote-access options and customize their function, creating new opportunities for optimization. Thus, the combination of monitoring data, remote control, and optimization allows autonomy adapting to user preferences.10

DI in the automotive industry is not merely leading to revenue growth but most importantly transforming the automotive ecosystem, with market players entering the newly created value chain. A non-comprehensive list of the actors that create values within this new automotive ecosystem by providing data, services, and physical products and the findings described by Tobias et al are as follows:12

• OEMs
• Consumers
• Suppliers
• Public transportation providers
• Car rental providers
• Car dealers (parts)
• Disruptive technology providers
• Mobility service platforms
• Mobility service aggregators
• Intelligence, cloud, and platform infrastructure providers
• Value-added service providers
• Car service and e-payment providers

The impact of smart, connected products extends far beyond what has been just described. These innovations are dramatically altering value creation in the economy, potentially destabilizing companies through new organizational structures and raising societal concerns, such as security and sustainability. To stay competitive in the global market and the era of Industry 4.0, automotive companies must collaborate with previously identified stakeholders to create new solutions that sustainably enhance the development of transportation companies. In terms of sustainability, there are many studies currently focusing on assessing the impact and benefits of green transformation in the automotive industry and whether digitalization can really foster a sustainable future. The major bottlenecks in the field seem to be financial constraints and the need of appropriate policies.13 Another major challenge for the green transformation is that generally a vehicle is made of 2000 parts, sourced from suppliers worldwide who are facing many constraints due to these new digital ecosystems.

With the global climate crisis and the need to transition from fossil fuels that require competing with the price and ubiquity of gasoline, the automotive industry is really at a cross road. In addition, the recycling of car batteries raises concerns over the environmental impact and the necessity of creating efficient and robust networks where electric cars can be recharged, offering alternative to filling up at the pump. In this context, an example of a company that has successfully made electric mobile vehicles convenient, efficient, and affordable with a robust network is Gogoro, a Taiwanese firm which, with an innovative technology, offers a quick and easy way to swap drained batteries with charged ones. There are currently more Gogoro stations in Taipei than traditional gas stations. These stations are also environmentally friendly whereby power can be drawn when grid usage is low (at night) and returned to the grid when the usage is high.14 Even though scaling up networks is still a challenge for Gogoro, with the company now having more than 13000 battery-swapping stations at more than 3000 locations worldwide, this is another example of how technological innovation can transform organizations.

DT has also significantly propelled growth in the aviation sector. Take Rolls-Royce, for instance, where digital innovation was pivotal in shifting the business model from being product-focused to service-oriented.15 Initially, jet engines suffered from inefficiency, low reliability, and durability issues, consuming excessive fuel and requiring frequent maintenance of turbines and blades (Figure 3). This posed significant challenges for commercial airlines.

Rolls-Royce turned out to be a pioneer in the integration of digital electronics into their engines to monitor their performance. Because of this, large quantities of data were continuously generated, and Rolls-Royce started using data analytics to run through such data and predict maintenance needs. Furthermore, digital twins of the engines were developed to allow real-time monitoring and simulation of different scenarios. With the success of these digital innovations, the company transformed their business model, shifting from selling engines to offering power-by-the-hour services so that customers were being charged on business usage and performance. By doing so, Rolls-Royce ensured continuous service and support, providing a different solution experience for both internal and external stakeholders, from mass production to a more personalized approach. These events ultimately transformed Rolls-Royce engines into digitally, highly efficient, and reliable components, which customers benefited from due to a large amount of savings in comparison to previous engine usage (Figure 4).

By 2011, the revenues derived from the new service business model amounted to more than half (53.4%) of Rolls-Royce’s total revenues of £11.28 billion.15 Fuel consumption and fuel efficiency have always been a concern for the aviation industry and in today’s global climate crisis landscape more than ever it is becoming fundamental finding solutions to reduce aviation’s climate impact. One solution could be by rethinking where jet fuel comes from. Currently, nearly all commercially available alternative jet fuels are produced by waste fats, oil, and greases, which raises concerns over materials’ availability when scaling up fuel production. There are organizations trying to address exactly this problem, such as LanzaJet, a US tech company whose main technology uses microbes to convert waste materials into chemicals and fuels. LanzaJet is a leader in making jet fuels using alcohol sourced by several materials, including corn and sugarcane.

According to the US Environmental Protection Agency, the company’s sugarcane-derived ethanol could cut emissions by between 54% and 66%.16 This technology could help the aviation industry scale more quickly and transform the current supply chain. The company claims that through the new Georgia facility, other waste sources like municipal solid waste and industrial waste could be converted into ethanol, ultimately resulting in 85% less polluting fuel than fossil fuels. Although carefully choosing the source material is key to avoid unknown consequences to the environment and scaling is still a major hurdle for alternative jet fuel companies, LanzaJet is certainly working on making next-generation aviation fuels, paving the way for other companies doing the same and introducing technological disruptions that could further transform the aviation industry.

E-commerce

A market that has also seen an unprecedented uptick worldwide especially after the COVID-19 pandemic is E-commerce, such as E-retail and E-health. A typical case is Amazon which has become the world’s biggest online retailer with a market share of over 30% thanks to heavy investment in technology including data analytics and a powerful supply chain infrastructure. Another example in E-commerce is the case of Majid Al Futtaim (MAF), the Dubai-based leading shopping mall, communities, retail, and leisure pioneer across the Middle East, Africa, and Asia, with over 500 million visitors annually in 16 countries and a net profit of AED 2.7 billion in 2023. In 2015, the newly appointed chief executive officer (CEO), Alain Bejjani, had the difficult task of bringing together the three separate operating companies comprising:

• Properties (hotels, malls, etc.)
• Grocery retail (Carrefour)
• Lifestyle proposition ventures (entertainment, fashion, VOX cinema, etc.)

His strategy was to build a digital powerhouse, with data, technology, and people being the key enablers to ultimately create a unified lifestyle proposition across the three operating divisions to all MAF’s end customers. At the time, Bejjani had a dataset of 13 million customers across thousands of touch points to deal with, and his aim was to deploy bottom-up, top-down dynamics to build a digital mindset, skillset, and a data lake with the human capital at the centre of the DT.17,18 Through a culture of experimentation, Bejjani wanted to instil a digital mindset across all internal and external stakeholders within his various businesses, using the data at hand to test and refine strategies continuously and an integrated omnichannel offering constant customer experiences driven by data analytics. The newly formed teams worked closely with subsidiaries, with clear objectives, roadmaps, and user cases to be tested before going live. The user case in the retail sector (Carrefour) was key in Bejjani’s strategy since it was the most revenue-generating branch plus it was a sector that required matching the different ranges of customer tastes. Establishing the right metrics to measure outcomes was also fundamental in assessing whether an increase in sales was successfully obtained. Once the main goal of increasing sales was accomplished, this data-driven innovation went beyond the mere grocery retail sector, with a customer-centric data-led transformation being applied to the whole MAF group. From 2015 to the pre-COVID pandemic, MAF holdings’ consolidated revenues had increased steadily from AED 27.3 billion to 36.1 billion.19

Without delving too much into the realm of healthcare, whereby DT has the potential to disrupt manufacturing and logistics processes, here the focus would be on the fact that DT and innovation may become a catalyser in accelerating the access of medicine and treatments to everyone, especially in underdeveloped countries. In such contexts, E-health is gaining momentum, which after the COVID-19 pandemic has led many countries including the whole African continent turning towards digital healthcare solutions.20 E-health has indeed triggered substantial investments in the African continent, placing itself in the third spot (Figure 5) of major start-ups funding with significant developments in the AI and IoT spaces, especially in South Africa, Egypt, and Morocco (Figure 6).

In Industry 4.0, DT is expected to address social and economic challenges among other things, reducing inequalities in Africa.21 Major investments in information and communication technology are also paving the way for mobile platforms to improve medical data and service delivery, especially in rural areas, whereby current infrastructures represent a major bottleneck along with the absence of policies to address cybercrime. Nonetheless, in countries like South Africa, Nigeria, and Morocco, privately held companies are already investing in information security technologies, which is the first step towards cybersecurity.22 These are just examples of how digital innovation and new technologies are transforming the healthcare sector, extending the positive societal impact also into developing countries where governments and entrepreneurs are leveraging Industry 4.0 to foster economic growth and fight poverty and inequality.

From Strategy to Execution

As companies embrace the digital revolution, business leaders must make sure that the right digital strategies are in place to maximize the value from the investments into new technologies. A great digital strategy gives direction, enabling all stakeholders in the value chain to reap the benefits. The first step is to decide on what kind of digital strategy to pursue and according to Ross et al. in the MIT Sloan Management Review article,23 strategies can be summarized as:

• Customer engagement strategy
• Digitized solution strategy

In the customer engagement strategy, the focus is on the customer loyalty and trust, and many companies adopting this strategy offer unique omnichannel experiences, rapid responses to new demands, and personalized relationships. This can be leveraged through the use of data analytics for the most effective personalized approach and by using social media to develop communities. In the digitized solution strategy, the focus is on information-enriched products and services to deliver new values to customers and solve their problems. Also, in this scenario, data analytics can make the strategy more effective.

Even though these two strategies may converge over time, it is important to choose one or the other as companies need clear communication for their employees to drive the initiative and avoid the formation of functional silos that may pursue independent goals. In fact, as we have previously discussed, a strategy to be really successful needs the right teams and a digital skillset with a top-down, bottom-up involvement so that company’s purposes and values can be aligned, key enablers (manoeuvre ambassadors) can be assigned, and cross-functional interactions can be fostered towards a more collaborative and knowledge-sharing environment. To define this new operational backbone, identification of the friction points across the whole value chain is key in order to drive the cultural digital shift. Other key aspects to be taken into account are:

• Having a clear strategy and communicating seamlessly across the whole organization the benefits of the implementation;
• Establishing proper communication channels and employees’ involvement, with feedback loops;
• Upskilling the workforce with trainings;
• Clearly explaining on how to get there with roadmaps with key milestones, including pilot and launch phases, risks, and mitigation strategies;
• Setting up tangible objectives and continuously measuring them and adjusting the metrics as the technology advances.

As seen with Uniqlo and MAF’s case studies, one of the main challenges C-level executives had to face was to sell their ideas to all stakeholders, internal and external. And before doing that, they need to understand the current processes to fully achieve a successful DT. Both Tambara and Bejjani turned to data-driven innovations, creating centres of transformation to gather data at each step of the value chain and ultimately maximizing the customer lifetime value. The concept of building a digital lake along with a digital mindset and skillset is a common shared approach in DT initiatives across various industries especially because companies now face the challenges of dealing with large amounts of data that can be turned into powerful insights on how to drive growth and gain a competitive advantage. In traditional business models, products were not as connected as today; hence, real-time monitoring, remote controlling, and the possibility to personalize products were not even considered.

In today’s digital ecosystems, smart, connected products become the source of data, providing numerous insights on product performance or customer behaviours and needs that can ultimately translate into the creation of new products and services. The possibility of gathering data from different sources is at the base of any DT strategy, whereby the “data lake” (Figure 7) becomes an intelligence centre for information collection which data analytics will then turn it into deeper insights to drive decision, optimize product performance, and maximize the customer’s value from the product over time.10

With the shifting changes throughout the whole value chain, new organizational structures are emerging, whereby teams from diverse backgrounds, cultures, and digital skillset especially software knowledge are coming together to solve today’s challenges. In this scenario, coordination becomes a necessity across multiple functions mainly because products and services are continuously connected, generating large amounts of data that can be leveraged to drive business growth. As a result, the firm’s structure is rapidly evolving, with new functions being created.

In this digital and technological era, the increasing importance of DT and technologies, regardless of the business sector, and the level of organizational efficiency, quality, and productivity of business-to-customer (B2C) and business-to-business (B2B) connections are largely affected by the choices made at the C-level to successfully implement strategies. Therefore, professional figures such as chief technology, data, and digital officers (CTO and CDOs) are becoming key roles in top management teams. The CTO’s key tasks are those of a technical businessperson deeply involved in shaping and implementing overall corporate strategy and continuously finding new areas where technology can be used to create business, leading the strategy with data but also defining processes and culture, and effectively communicating to all people.24

Similarly, the chief digital officers’ responsibility is to focus on the development and implementation of the digital strategy in the organization especially considering that internal and external stakeholders have constant interaction with products and services going through an increased number of interactions during the customer journey, with many of these being digital. In addition, deciding on which digital channel strategy will be used likely has implications on the entire business models, affecting how values are created. Going digital can help solve customer-facing friction points and increase customer experience but cannot automatically solve all challenges within a business model, hence the need of a chief digital officer, a top C-level executive whose focus is on digital issues.25 Lastly, the chief data officer who handles enterprise-wide data aggregation and analytics supports the function analytics and shares information across the firm.10

To get the most out of the digital era, dedicated teams have to be created, processes should be changed through the lens of data, and C-level executives should be responsible for unifying data resources and technologies, educating the organization, and driving the strategy implementation across the whole value chain. This is especially true with AI, whereby the transition towards more digitized companies may raise real challenges and concerns in organizations and societies. And we are just at the beginning, with the AI’s expected market value to reach $2.6T by 2032 at a CAGR of 19% (Figure 8), and there are certainly many shareholders who would like a share in this market.

AI’s applicability could enhance and drive innovation in many of the industries previously mentioned, especially in transportation, where this technology is poised for a bright future in the development and operation of autonomous vehicles. AI algorithms are indeed already influencing various stages from initial coding to post deployment maintenance in autonomous vehicles with benefits including above all the capacity to reduce traffic fatalities in comparison to human drivers. This technology could potentially shape everyday life and further transform the current automotive industry landscape (Figure 9). Nonetheless, robust safety standards and ethical guidelines are required and the potential impact on job displacement, costs, and data privacy needs to be considered, which are all concerns that need to be addressed so that AI can also be successfully implemented in areas like urban traffic and logistics.27

Conclusion

This review article explored the mechanisms and pathways through which DT can promote innovation and growth in organizations with further impacts on societies. Real case study examples in retail, transportation (automotive and aviation industries), and E-commerce (E-retail and E-health) were analysed and discussed, providing new perspectives on promoting the role of companies in the digital economy. And technology is playing a crucial role, enabling them to generate significant opportunities to compete in the business world. However, in a world of digitally enabled ecosystems, leaders are now faced with compelling questions, such as how to create new values in a competitive global landscape? What roles would the organizations play? What would the terms be? And what impact would the introduction of new technologies have on current business models? Transitions may be unsettling and destabilizing with unknown consequences. But the new digital era also represents an opportunity, a chance to improve economies and growth also in developing countries. New industries, services, products, jobs, and roles will be created. The transformations required are difficult and uncertain, but many market leaders are already emerging, driving transformation across industries and paving the way for new entrants to solve some of the major challenges we are currently facing, such as global warming and cybersecurity.

To succeed in the digital economy, companies must choose the right strategy, create new or upgrade their current organizational charts, instil a digital mindset and skillset in employees, and create a collaborative environment with cross-functional execution of activities, investments in technologies, and decisions driven by data analytics to successfully create new and continuous values across the whole customer (internal and external stakeholders) experience journey. However, despite the hype of the digital era and the technological advancements that come with it, there are still risks and challenges to be overcome. Many people still do not understand how to use such technologies; hence, education including training and upskilling in organizations is fundamental along with proper governance frameworks with robust policies so that enterprises can safely transition towards the digital era. Executives and leaders will need to create long-term visions and change or adapt the new business models to digitally transform their organizations. With AI further broadening the impact of digitally enabled ecosystems, the expectations are high.28 It is ultimately everyone’s responsibility to understand these technologies and the transition period we are in to make these innovations safe, sustainable, and widely accessible “for the betterment of humanity”.29

References

1 Agarwal R, Guodong G, DesRoches C, Jha AK. The digital transformation of healthcare: current status and the road ahead. Inf Syst Res. 2010;21:796-809.
https://doi.org/10.1287/isre.1100.0327
 
2 Hess T, Matt C, Benlian A, Wiesboeck, F. Options for formulating a digital transformation strategy. MIS Q Exec. 2016;15:123-39.
 
3 Henfridsson O, Mathiassen L, Svahn F. Managing technological change in the digital age: the role of architectural frames. J Inf Technol. 2014;29:27-43.
https://doi.org/10.1057/jit.2013.30
 
4 Fitzgerald M, Kruschwitz N, Bonnet D, Welch M. Embracing digital technology. MIT Sloan Manag Rev. 2013;55:1-12.
 
5 From Google Images search on construction areas of digital transformation.
 
6 Reis J, Amorim M, Melão N, Matos P. Digital transformation: A literature review and guidelines for future research. World conference on information systems and technologies. 2018, pp. 411-21.
https://doi.org/10.1007/978-3-319-77703-0_41
 
7 Vermesan O, Bacquet J. Cognitive Hyperconnected Digital Transformation: Internet of Things Intelligence Evolution. River Publishers. 2017. pp. 1-328.
https://doi.org/10.13052/rp-9788793609105
 
8 The Self-checkout even the haters will love, Ben Cohen. 2023, WJS.
 
9 How Uniqlo Tracks Style and Savings with RAIN RFID (impinj.com).
 
10 How Smart, Connected Products Are Transforming Companies (hbr.org).
 
11 Gao P, Müller, Kaas H.-W, Mohr D, Wee D, Hensley R, Guan M,
 
et al. Automotive Revolution Perspective Towards 2030, McKinsey Report, pp. 1-12.
 
12 Riasanow T, Galic G, Böhm M. Digital transformation in the automotive industry: Towards a generics value network. In Proceedings of the 25th European Conference on Information Systems (ECIS). 2017, pp. 3191-201.
 
13 Xuqian W. The digital transformation, funding constraints, and the green innovation of transportation companies. Fronti Environ Sci. 2024;12:1-14.
https://doi.org/10.3389/fenvs.2024.1332051
 
14 2024 Climate Tech Companies to Watch: Gogoro and its battery-swapping network for electric scooters | MIT Technology Review
 
15 Smith JS. Power-by-the-hour: The role of technology in reshaping business strategy at Rolls-Royce. Taylor & Francis Online. 2013;25: 987-1007.
https://doi.org/10.1080/09537325.2013.823147
 
16 2024 Climate Tech Companies to Watch: LanzaJet and its next-generation jet fuel | MIT Technology Review.
 
17 Majid Al Futtaim CEO plots path to 21st century retail – Arabian Business: Latest News on the Middle East, Real Estate, Finance, and More.
 
18 Analytics-Driven Transformation at Majid Al Futtaim: Building a Data-Led, Test-&-Learn Culture to Generate Customer Value in the Middle East | INSEAD Publishing.
 
19 maf-holding-consolidated-annual-report-and-accounts-fy 20233a18608c005643078b9e11b343860557.pdf (majidalfuttaim.com).
 
20 Digital tools could boost efficiency in African health systems | McKinsey.
 
21 The-African-Tech-Startups-Funding-Report-2022.pdf (disruptafrica.com).
 
22 The Fourth Industrial Revolution and digitization will transform Africa into a global powerhouse (brookings.edu).
 
23 Ross JW, Sebastian IM, Beath CM. How to develop a great digital strategy. MIT Sloan Manag Rev. 2017;58:1-16.
 
24 The Growing Importance of Technology Executives / Hidden Chief Technology Officers and Their Organizational Roles | IEEE Conference Publication | IEEE Xplore.
 
25 The role of chief digital officer: Critical insights into an emerging field and road map for future research – ScienceDirect.
 
26 Precedence Research – Statistics Platform for Market Intelligence, Market Research and Insights.
 
27 Garikapati D, Shetiya SS. Autonomous vehicles: evolution of artificial intelligence and the current industry landscape. MDPI Open Access J, 2024;8(4): 1-25.
https://doi.org/10.3390/bdcc8040042
 
28 5 Forces That Will Drive the Adoption of GenAI (hbr.org).
 
29 Samila S, Berrone P. OpenAI and the Large Language Model Market. IESE Business School. 2023. pp.1-25.