The Digital Challenge for Multinational Mobile Network Operators. More marginalization or rejuvenation?

Gooderham, Paul N.; Elter, Frank; Pedersen, Torben; Sandvik, Alexander Madsen

doi:10.1016/j.intman.2022.100946

Cited by 11 publications

(4 citation statements)

References 17 publications

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“…The born-digital firms are those founded in the internet era with a global value chain and proposition while going-digital firms are traditional firms transitioned to digital by a new value proposition through innovation in product, services, business model, and improved internal business processes. There are several concepts introduced using various methodologies for borndigital or going digital firms: liability of ecosystem integration (Rong, Kang, & Williamson, 2022), cross-side network interaction (Liu, Wu, & Song, 2022), strategic vs operational digital transformation (Yu, Fletcher, & Buck, 2022), and recombinant firm-specific advantages (Gooderham et al, 2022), and various SME internationalization capabilities through digital platforms, the internet and social media (Brieger et al, 2022;Ipsmiller et al, 2021;Lee et al, 2022). The impact and implication of digital technology in international strategy has widened as there are still unknown opportunities for research on the competition and interaction between firms in the blurring boundaries, demand side innovation and firm capabilities to develop and maintain a global value chain, digital platform technology variation, context (small and large firms), measurement (single item vs multiple items), time (cross-sectional and longitudinal), alternatives of moderating effects, and interaction between various stakeholders, and also the role of digital ecosystems in firm internationalization.…”

Section: Resultsmentioning

confidence: 99%

Development Trends of Digital Transformation in Entrepreneurship and Innovation: A Bibliometric Analysis

Utomo,

Cham

2023

The Winners

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The research provided a bibliometric analysis of 340 studies conducted between 2011 and 2022 related to digital transformation in entrepreneurship and innovation. The bibliographic data were extracted from the Scopus database and analyzed using bibliometric tools in R software. The research revealed research trends such as publication and citation per year, top sources, top authors, top documents, and top countries, as well as their impacts. The conceptual structure was analyzed using Multiple Correspondence Analysis (MCA) and hierarchical clustering analysis, which resulted in four cluster keywords related to leadership, entrepreneurial agility, technology impact, digital ecosystems, and digital services. The thematic map analysis identified twenty-seven clusters, which were mapped into four quadrants. Three of those clusters were identified as motor themes (micro foundation, digital global value chain, and digital servitization) which were analyzed in detail through content analysis. The theoretical contribution of the research is to enhance the understanding of how digital technology changes the broad assumptions on the sources, processes, and outcomes of entrepreneurial activities and innovation processes, while the practical contribution provides various contexts of technological impact.

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Section: Resultsmentioning

confidence: 99%

Development Trends of Digital Transformation in Entrepreneurship and Innovation: A Bibliometric Analysis

Utomo,

Cham

2023

The Winners

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“…For example, managers employ AI as a module for physical products, like heavy trucks, to enable service provision, leading to productivity and profitability for customers (Haftor et al, 2021). Such AI is combined with other technological artifacts like the internet of things (e.g., connected sensors in engines and gearboxes) that produce considerable amounts of real‐time data with low‐latency monitoring (Gooderham et al, 2022). This combinative capability automatically generates insights based on vehicles' technical configurations, actual usage, and the error code combinations that facilitate efficiency.…”

Section: Managing Ai In Ib: Empirical Insights and Toward A Research ...mentioning

confidence: 99%

“…The combinative approach enables managers to develop solutions to self‐analyze, proactively report problems, and take real‐time corrective action (Gooderham et al, 2022). Recent empirical evidence shows that configuring autonomous vehicles requires many AI solutions, and not all resources are owned by focal firms (Ji et al, 2020).…”

Section: Managing Ai In Ib: Empirical Insights and Toward A Research ...mentioning

confidence: 99%

Managing artificial intelligence in international business: Toward a research agenda on sustainable production and consumption

Hasan,

Ojala

2024

Thunderbird Intl Bus Rev

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The collaboration between artificial intelligence (AI) and humans is reshaping international business (IB) management dynamics, aiming to achieve global sustainable development. Recent IB literature indicates that managing AI brings benefits such as better resource reconfiguration, reduced transaction costs, and global sustainable development. However, existing IB literature provides only meager knowledge about the characteristics of AI and how these characteristics can be employed for international expansion at the intersection of sustainable development. In response, our aim is to construct these characteristics by employing directed qualitative content analysis of empirical AI research. Based on our three constructed characteristics of AI, we contribute to current IB literature by providing a framework to balance economic and social goals and utilizing AI for global sustainable development. Further, we provide future IB research themes to guide IB and AI research toward achieving a sustainable production and consumption agenda.

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“…This case serves as a blueprint for other telecommunications companies looking to make substantial reductions in their carbon footprint. Telefonica, a global telecommunications giant, has embraced artificial intelligence (AI) and renewable energy integration to achieve notable reductions in network energy consumption (Gooderham et al, 2022). The company leveraged AI algorithms to optimize network operations, predicting and responding to peak workloads, thereby ensuring efficient resource utilization and reducing unnecessary energy consumption.…”

Section: Successful Implementations and Roadmap For Implementation: C...mentioning

confidence: 99%

Telecommunications Energy Efficiency: Optimizing Network Infrastructure for Sustainability

Chinedu Alex Ezeigweneme,

Aniekan Akpan Umoh,

Valentine Ikenna Ilojianya

et al. 2024

Comput. sci. IT res. j.

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The global telecommunications industry is facing significant challenges due to the rapid growth in data traffic and the growing environmental concerns associated with these networks. This paper explores strategies for optimizing network design and operation towards a greener, more sustainable future. Key challenges include the environmental impact of energy consumption, which accounts for 2-3% of global electricity consumption. The paper focuses on optimizing network design and operation, exploring energy-saving techniques and innovations, and revealing advanced network management optimizations. It also explores the transformative role of renewable energy sources like solar, wind, and geothermal power in mitigating the carbon footprint of telecommunications networks. The paper evaluates on-site renewable energy generation and power purchase agreements (PPAs) as integral components of a sustainable energy strategy. The paper highlights the potential of a holistic approach to telecommunications energy efficiency, including deploying energy-efficient hardware, using green data centers equipped with advanced power management techniques, implementing intelligent power management systems, and optimizing network traffic flow. Network management optimization involves regular evaluation and optimization of infrastructure, eliminating redundancy and underutilized equipment, and employing software-defined networking (SDN) and Network Function Virtualization (NFV). Renewable energy integration is also discussed, with on-site renewable energy generation and power purchase agreements emerging as powerful tools in reducing dependence on traditional grids and fossil fuels. The integration of AI, machine learning, and blockchain technology is also explored. By implementing these strategies, the telecommunications industry can contribute significantly to global environmental goals while securing enduring economic benefits. The implications of a sustainable telecommunications infrastructure extend beyond immediate energy savings, encompassing enhanced brand image, cost-effectiveness, and compliance with evolving regulations. Keywords: Telecommunications, Energy Efficiency, Network Design, Green Networks, Network Management, Emerging Technologies.

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The Digital Challenge for Multinational Mobile Network Operators. More marginalization or rejuvenation?

Cited by 11 publications

References 17 publications

Development Trends of Digital Transformation in Entrepreneurship and Innovation: A Bibliometric Analysis

Development Trends of Digital Transformation in Entrepreneurship and Innovation: A Bibliometric Analysis

Managing artificial intelligence in international business: Toward a research agenda on sustainable production and consumption

Telecommunications Energy Efficiency: Optimizing Network Infrastructure for Sustainability

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