Traditional manufacturing areas and the emergence of product-service systems: the case of Italy

Bellandi, Marco; Lombardi, Silvia; Santini, Erica

doi:10.1007/s40812-019-00140-y

Cited by 9 publications

(8 citation statements)

References 43 publications

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“…Today, Industry 4.0 is emerging as a new type of digital innovation (Kang et al, 2016) that is establishing the premises for a manufacturing "renaissance" and socioeconomic development (Bellandi, Lombardi, & Santini, 2019b). It is aimed at transforming firms' value creation and business models with digitalization, automation, and robotics (Götz & Jankowska, 2017), ultimately changing the traditional source of competitiveness of both firms and regions (Schwab, 2017).…”

Section: Digital Innovation In Midsmentioning

confidence: 99%

“…Technologies related to Industry 4.0 include simulation, augmented reality, robots, Internet of Things (IoT), cloud services, cybersecurity, additive manufacturing, horizontal and vertical system integration, Big Data, and analytics (Wang & Wang, 2016). MIDs, traditionally characterized by a strong manufacturing specialization (Becchetti, De Panizza, & Oropallo, 2007), perceive digital technologies related to Industry 4.0 as both threats and opportunities (Bellandi et al, 2019b). However, how and to what extent district firms adjust their structures to the new technological paradigm will depend on the combined efforts of local institutions and public policy initiatives, 1 as well as firms' specific characteristics.…”

Section: Digital Innovation In Midsmentioning

confidence: 99%

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Family Business and Regional Development

Basco¹,

Stough²,

Suwala³

2021

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This book explores the relationship between families, firms, and regions and the extent to which these relationships contribute to regional economic and social development.Although family business participation in economic activities has been a common phenomenon since pre-industrial societies, and its importance has evolved throughout time and across spatial contexts, the book suggests that these factors have often been neglected in family business and regional studies. Taking this research gap into account, the book aims to deepen our understanding of the role family firms play in the regional economy. In particular, it explores two seldom studied questions. Firstly, what role do family firms play in regional development? Secondly, how do different spatial regional contexts shape family firm operations and performance?Family Business and Regional Development presents a model of "spatial familiness" and uses themes such as productivity, networks and competitiveness to shed new light on family businesses. Moreover, it approaches the juxtaposition between family business and regional studies to encourage the cross-fertilisation of ideas, theories, and research methods between the two fields.Bringing together leading experts in entrepreneurship, regional economics, and economic geography, this book will be a valuable reading for advanced students, researchers and policymakers interested in family firms, regional studies and economic geography.

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Section: Digital Innovation In Midsmentioning

confidence: 99%

Section: Digital Innovation In Midsmentioning

confidence: 99%

Family Business and Regional Development

Basco¹,

Stough²,

Suwala³

2021

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“…We have restricted our focus on Italian manufacturing SMEs for several reasons. Italy is the second-largest manufacturing country in the EU (Bellandi et al, 2020) and this sector generates more than 30% of the Italian GDP (Eurostat, 2018). Differently from SMEs in other EU countries, Italian SMEs trade substantially more than large firms and manufacturing, in particular, drives both import and exports (Abel-Koch et al, 2018).…”

Section: Data Descriptionmentioning

confidence: 99%

Look Who's Talking: Interpretable Machine Learning for Assessing Italian SMEs Credit Default

Crosato,

Liberati,

Repetto

2021

Preprint

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Academic research and the financial industry have recently paid great attention to MachineLearning algorithms due to their power to solve complex learning tasks. In the field of firms' default prediction, however, the lack of interpretability has prevented the extensive adoption of the black-box type of models. To overcome this drawback and maintain the high performances of black-boxes, this paper relies on a model-agnostic approach. Accumulated Local Effects and Shapley values are used to shape the predictors' impact on the likelihood of default and rank them according to their contribution to the model outcome. Prediction is achieved by two Machine Learning algorithms (eXtreme Gradient Boosting and FeedForward Neural Network) compared with three standard discriminant models. Results show that our analysis of the Italian Small and Medium Enterprises manufacturing industry benefits from the overall highest classification power by the eXtreme Gradient Boosting algorithm without giving up a rich interpretation framework.

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“…PSS have drawn significant attention as a driver for business innovation and manufacturing servitization (Kim, 2020) and is attracting interest from practitioners and researchers alike (Chiu et al , 2019; Kim, 2020; Salwin et al , 2020). The last two decades witnessed a growing body of literature devoted to PSS and recognizing its importance among different industries such as Manzini et al (2001), Manzini and Vezzoli (2003), Tukker (2004), Baines et al (2007), Durugbo et al (2010), Garetti et al (2012), Szwejczewski et al (2015), Suh (2019) and Bellandi et al (2020). However, many theoretical; methodological and practical aspects involved in the process remain unresolved (Salwin et al , 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

“…While the content of their work helps guide this paper, its core domain falls outside this study scope, which focuses on PSSs involving a physical product and its associated field repair services provided after the sale. Researchers have tended to investigate PSS in established markets, such as Bellandi et al (2020), which appears insufficient given faster growing rates of emerging markets and developing economies (Sousa-Zomer and Miguel, 2016).…”

Section: Introductionmentioning

confidence: 99%

Product-service systems in Egypt: a multicase evaluation of field repair

Owida¹,

Byrne²,

Heavey³

et al. 2020

IJOEM

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PurposeThe purpose of this paper aims to evaluate field repair within product-service system (PSS) models operated by multinational manufacturers in the Egyptian emerging market to better understand the unique characteristics of this evolving market and to identify differences compared to established markets.Design/methodology/approachCase research was conducted on multinational manufacturers providing field repair services in Egypt. The sample is made up of 12 companies across different industries using convenience and purposive sampling. Data were collected using structured interviews.FindingsThere is no common model for field repair PSSs provision in the Egyptian emerging market even within the same industry, which is influenced by several factors. One of these factors is the market type being emerging or established. However, some commonalities have been found between some industries such as computer, telecommunications and document processing. Yet, there is no structural difference in the supply networks used to provide field repair service offerings in the Egyptian emerging market compared to established markets with the trend of outsourcing evident as a main attribute of a PSS in emerging markets. The main differences between established and emerging markets are related to country, culture and customer factors, which are market-based. Among the main challenges and risks that internationalized manufacturers face in Egypt, is the low level of customer awareness.Research limitations/implicationsFindings are limited to the studied cases and industries; yet, internationalized firms must deal with some unique challenges and difficulties in emerging markets.Practical implicationsThis paper assesses PSS requirements and provides deeper insights for companies looking to provide or expand manufacturing-based offerings into the Egyptian emerging market.Originality/valueThis paper contributes to the evolving research on PSSs, particularly in emerging markets through identifying and describing different field repair PSS models in the Egyptian emerging market.

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Traditional manufacturing areas and the emergence of product-service systems: the case of Italy

Cited by 9 publications

References 43 publications

Family Business and Regional Development

Family Business and Regional Development

Look Who's Talking: Interpretable Machine Learning for Assessing Italian SMEs Credit Default

Product-service systems in Egypt: a multicase evaluation of field repair

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