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1 – 10 of over 7000Silvia Massa, Maria Carmela Annosi, Lucia Marchegiani and Antonio Messeni Petruzzelli
This study aims to focus on a key unanswered question about how digitalization and the knowledge processes it enables affect firms’ strategies in the international arena.
Abstract
Purpose
This study aims to focus on a key unanswered question about how digitalization and the knowledge processes it enables affect firms’ strategies in the international arena.
Design/methodology/approach
The authors conduct a systematic literature review of relevant theoretical and empirical studies covering over 20 years of research (from 2000 to 2023) and including 73 journal papers.
Findings
This review allows us to highlight a relationship between firms’ international strategies and the knowledge processes enabled by applying digital technologies. Specifically, the authors discuss the characteristics of patterns of knowledge flows and knowledge processes (their origin, the type of knowledge they carry on and their directionality) as determinants for the emergence of diverse international strategies embraced by single firms or by populations of firms within ecosystems, networks, global value chains or alliances.
Originality/value
Despite digital technologies constituting important antecedents and critical factors for the internationalization process, and international businesses in general, and operating cross borders implies the enactment of highly knowledge-intensive processes, current literature still fails to provide a holistic picture of how firms strategically use what they know and seek out what they do not know in the international environment, using the affordances of digital technologies.
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Devrim Murat Yazan, Guido van Capelleveen and Luca Fraccascia
The sustainable transition towards the circular economy requires the effective use of artificial intelligence (AI) and information technology (IT) techniques. As the…
Abstract
The sustainable transition towards the circular economy requires the effective use of artificial intelligence (AI) and information technology (IT) techniques. As the sustainability targets for 2030–2050 increasingly become a tougher challenge, society, company managers and policymakers require more support from AI and IT in general. How can the AI-based and IT-based smart decision-support tools help implementation of circular economy principles from micro to macro scales?
This chapter provides a conceptual framework about the current status and future development of smart decision-support tools for facilitating the circular transition of smart industry, focussing on the implementation of the industrial symbiosis (IS) practice. IS, which is aimed at replacing production inputs of one company with wastes generated by a different company, is considered as a promising strategy towards closing the material, energy and waste loops. Based on the principles of a circular economy, the utility of such practices to close resource loops is analyzed from a functional and operational perspective. For each life cycle phase of IS businesses – e.g., opportunity identification for symbiotic business, assessment of the symbiotic business and sustainable operations of the business – the role played by decision-support tools is described and embedding smartness in these tools is discussed.
Based on the review of available tools and theoretical contributions in the field of IS, the characteristics, functionalities and utilities of smart decision-support tools are discussed within a circular economy transition framework. Tools based on recommender algorithms, machine learning techniques, multi-agent systems and life cycle analysis are critically assessed. Potential improvements are suggested for the resilience and sustainability of a smart circular transition.
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This paper aims to study individuals in international relations especially private individuals in global politics. Therefore the paper focuses on analyzing the case of Mark…
Abstract
Purpose
This paper aims to study individuals in international relations especially private individuals in global politics. Therefore the paper focuses on analyzing the case of Mark Zuckerberg the founder and chief executive of Facebook who affects the international arena. The paper illustrates Zuckerberg’s strategies to assert wide influence and power within Facebook’s network and through multiple networks.
Design/methodology/approach
The paper follows new theories of studying the human agent in international relations, concentrating on private individuals as new actors in international relations (IR). Thus, depending on “network making power theory” and the “three-dimensional power perspectives; (discursive, structural and instrumental)”, the paper illustrates the case of Mark Zuckerberg as a private entrepreneur and his authority in the era of social media dominance with a focus on: Zuckerberg's discursive/ideational power strategy. Zuckerberg’s strategy to work as a switcher through multiple networks. The most obvious one is the Facebook network, through which he can assert global influence.
Findings
Formal state officials are not the only type of individuals who can affect international relations. Technological evolution has empowered private individuals as influential actors in international relations (IR). Interdisciplinary approaches became essential tools in studying new actors affecting IR. There are new patterns of power linked to individuals without formal positions. Zuckerberg, CEO of Facebook and global philanthropist, is considered an influential actor in IR depending on programming and switching strategies to assert his power in a networked world.
Originality/value
This paper is able to prove that there are new forms of power which belong to private individuals in a networked world.
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Paolo Gaiardelli and Lucrezia Songini
The purpose of this paper is to analyse the fit between the strategy of service centres and their business model (BM) and to identify the BM components' characteristics and links…
Abstract
Purpose
The purpose of this paper is to analyse the fit between the strategy of service centres and their business model (BM) and to identify the BM components' characteristics and links that allow it to stand out in terms of service delivery and business performance.
Design/methodology/approach
This study applies an inductive qualitative multiple case study approach through the empirical analysis of top-performing Italian service centres operating in the Medium–Heavy Commercial Vehicle sector.
Findings
Research findings underline that the BM components of top performers are consistent amongst each other and with the adopted strategy and make a positive impact on the firm's performance. In particular, top performers are characterised by a solid financial structure based on equity, formalised and flexible organisational structures and processes, clarity in strategic direction and long-term orientation, grounded capabilities, competences and skills, trustful relationships with main service partners and a comprehensive set of managerial mechanisms.
Research limitations/implications
This paper presents some limitations, typical of qualitative research based on case studies. Future works may include other dimensions of performance for identifying top performers, and extend the empirical analysis to different sectors and national contexts.
Originality/value
This paper supports the relevance of contingency theory – particularly the strategy-structure-performance paradigm – in the analysis of the role of a BM in successful servitization strategies of service centres. It highlights that the BMs of the top-performing companies are characterised by some common elements. From a practical perspective, the authors provide insights that can be useful for designing successful service-based BMs for service networks.
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Alessia Zoppelletto, Ludovico Bullini Orlandi and Cecilia Rossignoli
This article aims to understand whether and how a digital transformation strategy (DTS) can strengthen the relationship between network organizations and the…
Abstract
Purpose
This article aims to understand whether and how a digital transformation strategy (DTS) can strengthen the relationship between network organizations and the generation/regeneration of their business network commons (BNC). Further, it investigates the role of the DTS in managing the BNC, a critical source of business network success.
Design/methodology/approach
A two-year longitudinal case study of an Italian business network operating in the wine sector was conducted.
Findings
This study provides theoretical insights into the digital, sustainable shift of a business network. On combining a network's business strategy and its DTS, digital resources are a key driver to promote BNC regeneration. A DTS undertaken to manage, regenerate and preserve the BNC can positively affect organizational variables, such as participatory architecture, and the network-level organizational integration and can help in preventing opportunistic behaviors affecting the BNC. Moreover, the DTS supports quality and social responsibility.
Research limitations/implications
This study focuses on an Italian case and its findings are hence not generalizable. It would be interesting to study sustainable business networks' digital shift in different socioeconomic contexts as well as in different industry settings.
Practical implications
Network SMEs and other stakeholders (institutions, competitors and consumers) can foster the transition from a “business-as-usual” strategy to a long-term strategy for digitalized management of common resources.
Originality/value
The study is at the intersection of, and contributes to, several research streams. It contributes to the digital transformation literature by adding information on the positive externalities of digitalization in the social and economic environment. It also contributes to the early streams of organizational and managerial literature on the BNC.
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Chiara Cannavale, Anna Esempio Tammaro, Daniele Leone and Francesco Schiavone
This paper explores innovation adoption in inter-organizational healthcare networks. The authors develop theoretical speculations to investigate better the role of artificial…
Abstract
Purpose
This paper explores innovation adoption in inter-organizational healthcare networks. The authors develop theoretical speculations to investigate better the role of artificial intelligence (AI) as an innovative tool to improve buyer-supplier relationships, creating better performance outcomes.
Design/methodology/approach
The research is based on a theoretical investigation aiming at exploring the role of AI-based solutions for managing buyer-supplier relationships. The conceptual approach allows us to identify some research streams (e.g. co-working collaborations in supply chain management) by proposing a matrix that helps clarify the analysis's directions.
Findings
The results show the importance of AI that can help the operator in accessing supplier information, including current prices, available stocks, and delivery status, thereby reducing the risk of information asymmetry. AI is intended not only as a technology tool but also as an innovative solution to promote business relationships and support vertical alliances through the value chain between buyer and supplier.
Originality/value
This paper can help healthcare actors examine the choices behind their operational strategies by providing transparency of the activities and availability of information in real-time. Finally, our study reflects the future directions to enhance the cooperation and innovation adoption among healthcare operators.
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Orlando Troisi, Anna Visvizi and Mara Grimaldi
Digitalization accelerates the need of tourism and hospitality ecosystems to reframe business models in line with a data-driven orientation that can foster value creation and…
Abstract
Purpose
Digitalization accelerates the need of tourism and hospitality ecosystems to reframe business models in line with a data-driven orientation that can foster value creation and innovation. Since the question of data-driven business models (DDBMs) in hospitality remains underexplored, this paper aims at (1) revealing the key dimensions of the data-driven redefinition of business models in smart hospitality ecosystems and (2) conceptualizing the key drivers underlying the emergence of innovation in these ecosystems.
Design/methodology/approach
The empirical research is based on semi-structured interviews collected from a sample of hospitality managers, employed in three different accommodation services, i.e. hotels, bed and breakfast (B&Bs) and guesthouses, to explore data-driven strategies and practices employed on site.
Findings
The findings allow to devise a conceptual framework that classifies the enabling dimensions of DDBMs in smart hospitality ecosystems. Here, the centrality of strategy conducive to the development of data-driven innovation is stressed.
Research limitations/implications
The study thus developed a conceptual framework that will serve as a tool to examine the impact of digitalization in other service industries. This study will also be useful for small and medium-sized enterprises (SMEs) managers, who seek to understand the possibilities data-driven management strategies offer in view of stimulating innovation in the managers' companies.
Originality/value
The paper reinterprets value creation practices in business models through the lens of data-driven approaches. In this way, this paper offers a new (conceptual and empirical) perspective to investigate how the hospitality sector at large can use the massive amounts of data available to foster innovation in the sector.
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Orlando Troisi, Anna Visvizi and Mara Grimaldi
The purpose of this paper is to explore the emergence of innovation in smart service systems to conceptualize how actor’s relationships through technology-enabled interactions can…
Abstract
Purpose
The purpose of this paper is to explore the emergence of innovation in smart service systems to conceptualize how actor’s relationships through technology-enabled interactions can give birth to novel technologies, processes, strategies and value. The objectives of the study are: to detect the different enablers that activate innovation in smart service systems; and to explore how these can lead dynamically to the emergence of different innovation patterns.
Design/methodology/approach
The empirical research adopts an approach based on constructivist grounded theory, performed through observation and semi-structured interviews to investigate the development of innovation in the Italian CTNA (Italian acronym of National Cluster for Aerospace Technology).
Findings
The identification and re-elaboration of the novelties that emerged from the analysis of the Cluster allow the elaboration of a diagram that classifies five different shades of innovation, introduced through some related theoretical propositions: technological; process; business model and data-driven; social and eco-sustainable; and practice-based.
Originality/value
The paper embraces a synthesis view that detects the enabling structural and systems dimensions for innovation (the “what”) and the way in which these can be combined to create new technologies, resources, values and social rules (the “how” dimension). The classification of five different kinds of innovation can contribute to enrich extant research on value co-creation and innovation and can shed light on how given technologies and relational strategies can produce varied innovation outcomes according to the diverse stakeholders engaged.
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