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The paper aims to analyze the impact of cyber attacks on stock returns of companies operating in the hospitality sector. The fast development of information and communication technologies has been posited as both an opportunity and a challenge to the United Nations Global Sustainable Development Goals. Digital technologies are significant tools for sustainable development, but if they are not addressed appropriately, they can potentially hinder the progress toward sustainability. Among negative impacts, it is necessary to consider cyber risk, a major concern today, in particular for industries which work with sensitive data, such as tourism businesses. Hospitality businesses have to adequately manage cyber insecurity and digital privacy issues, to prevent losses and contribute to socioeconomic sustainable growth.

Using event-study methodology, the paper provides empirical evidence on the effect of announcements of 170 information security breaches on the market value of firms operating in the hospitality sector in the past five years.

The study focuses on identifying potential threats of cyber attacks for the economic value of listed companies. The authors find that negative market returns occur following announcements of cyber attacks suffered by hospitality companies. Adequate investments in technology for cyber security and staff training are relevant in the hospitality sector to reduce cyber risk.

The paper contributes to identifying potential threats of cyber attacks for the economic value of listed companies operating in the hospitality sector. The analysis is carried out by collecting an original sample of global cyber attacks from newspaper announcements sourced from the LexisNexis database.

论酒店业的网络攻击：股票市场的反应

信息通讯技术的快速发展, 对UN全球可持续发展战略目标带来机遇和挑战。电子技术对可持续发展起到重要作用, 但是如果它们未被合理使用, 则对可持续性构成潜在威胁。在众多负面影响中, 网络攻击不可忽视, 成为现今重大担忧, 尤其是对于处理敏感数据的行业, 比如旅游产业。酒店业必须具备管理网络安全和处理电子隐私的能力, 以防止损失, 对社会经济可持续增长做出贡献。

本论文分析酒店业内因网络攻击而遭受股票的影响。借用事件分析法, 本论文研究了近五年来, 170项信息安全泄露消息对酒店市场价值的影响。

本论文主要确立了上市公司因网络攻击而受到的经济价值影响。我们发现, 酒店公司在宣布网络攻击后, 其市场收益受到负面影响。充足的网络安全技术投入和人员培训与酒店减少网络攻击有一定的联系。

本论文分析了酒店业中上市公司因网络攻击而带来的潜在经济价值的损失。研究分析样本来自Lexis Nexis数据库中的全球网络攻击的新闻报道。

The purpose of this paper is to focus on public guarantees granted to micro-, small- and medium-sized enterprises (SMEs) by the Italian national credit guarantee programme (Fondo Centrale di Garanzia – Central Guarantee Fund – (CGF)). The CGF provides a direct guarantee to banks granting loans or a counter-guarantee to mutual guarantee institutions (MGIs) acting as first-level guarantors. Because the behaviour of MGIs could affect the default risk of counter-guaranteed loans, it is vital to investigate their operating and structural characteristics in order to identify an optimal design for public credit guarantee schemes (PCGSs).

Using regression models, the paper analyses the determinants of default for 33,229 SME loans guaranteed by an MGI and counter-guaranteed by the Italian CGF. The dependent variable is the ex-post default risk of SMEs’ counter-guaranteed loans in the 2010-2011 period. The explanatory variables are certain characteristics of the MGI.

The authors demonstrate that increases in an MGI’s leverage and the size of the counter-guaranteed portfolios increase the default risk. When the counter-guaranteed portfolio increases, MGIs are more risk taking but take less risk than when local and specialized MGIs are at play. Finally, direct public aid is relevant.

An appropriate design of the PCGS becomes crucial to controlling moral hazard in financial institutions and ensuring the financial sustainability of public intervention in favour of SMEs.

The paper evaluates an original and confidential firm-level data set that is not available in public documents or supervisory board statistics but is collected directly from the MGIs that participated in this study.

This paper aims to explore the transformative influence of social media applications on the digital evolution of banks. Using a multiple case study approach, this study investigates how Italian banks have adopted social media in their digital transformation. The study seeks to uncover strategies used by banks to maximise the benefits of social media platforms and assess the outcomes and challenges faced during this process. The results provide valuable insights for banks navigating digital transformation, emphasising the importance of organisational culture, client engagement, financial innovation and proactive response to fintech disruptions.

This study uses a multiple case study approach to investigate the influence of social media applications on the digital transformation of banks. Six Italian banks that integrated social media into their digital transformation efforts are analysed. The research examines the strategies used by these banks to effectively leverage social media platforms. The outcomes and implications of these initiatives are scrutinised to discern both positive impacts and challenges faced by banks and customers. The research methodology involves in-depth analysis of case studies, incorporating insights from managerial interviews to underscore key aspects essential for successful digital adaptation in the banking sector.

This study reveals profound impacts of digital transformation on the banking sector, emphasising key implementation areas. Insights gleaned from case studies of six Italian banks underscore the transformative influence of social media applications. Results highlight positive impacts, including enhanced customer service, engagement, financial literacy and community building. Managerial interviews underscore five critical aspects: the imperative for a new organisational culture, a focus on millennial clients, understanding and offering new financial instruments and proactive responses to challenges posed by emerging fintech companies. Successful adaptation necessitates attention to organisational culture, client engagement, financial innovation and proactive response to fintech disruptions. The findings contribute to the evolving understanding of the transformative role of social media in reshaping the banking industry.

This paper fills a critical research gap by delving into the challenges specific to banking institutions during the implementation of social media strategies amid digital transformation. While existing literature predominantly highlights positive impacts, this study pioneers a comprehensive exploration of unique hurdles faced by banks. The multiple case study approach, focusing on six Italian banks, contributes original insights into the strategies used to maximise social media benefits. The research provides a nuanced understanding of both positive impacts and challenges encountered, offering valuable guidance for refining social media approaches in the ever-evolving digital landscape. This contributes to the existing body of knowledge and aids banks in navigating their digital transformation journey effectively.

This paper aims to comprehensively investigate the multifaceted realm of Initial Coin Offerings (ICOs), delving into their unique characteristics, analyzing their far-reaching influence, and uncovering broader implications within the ever-evolving financial landscape. By addressing the research gap concerning the impact of team diversity on ICO success, we contribute nuanced insights to the existing discourse. Through meticulous data collection and econometric modeling, our purpose is to unravel the intricate dynamics at play, offering valuable perspectives on the transformative role of ICOs and the potential significance of team diversity in shaping their outcomes.

To explore the impact of team diversity on the success of Initial Coin Offerings (ICOs), we compiled a comprehensive database comprising 3,082 profiles and 309 projects from LinkedIn, ICOBench, and Coindesk. This dataset facilitated the creation of diverse variables for our econometric model, enabling a nuanced analysis of interactions and dynamics in the context of our research question. Through this methodical approach, we aim to contribute valuable insights into the role of team diversity in shaping the outcomes of ICO campaigns.

Our analysis of 3,082 profiles and 309 projects sheds light on the intricate dynamics of Initial Coin Offerings (ICOs). Team diversity emerges as a pivotal factor, significantly impacting the success of ICO campaigns. The econometric model, enriched with variables derived from our extensive dataset, reveals nuanced interactions. Teams characterized by diverse profiles exhibit a tangible influence on campaign outcomes, underscoring the importance of inclusivity in shaping the transformative potential of ICOs. These findings contribute valuable insights into the evolving landscape of financial innovation, emphasizing the role of diverse teams in navigating the complexities of decentralized, inclusive investment paradigms.

This study contributes to the evolving discourse on Initial Coin Offerings (ICOs) by pioneering an exploration into the uncharted territory of team diversity and its impact on campaign success. While previous research has delved into ICO performance and success variables, our focus on team diversity as a critical determinant presents a novel perspective. By methodically assembling a substantial dataset and applying an intricate econometric model, we offer a unique lens through which to understand the nuanced interplay of diverse teams in shaping the outcomes of ICOs. This fills a significant research gap and provides valuable insights into the multifaceted dynamics of contemporary financial innovation.

The purpose of this paper is to investigate the drivers influencing the risk of default on mutual guaranteed loans. The authors aim to verify whether default is influenced by the specific business policies of mutual guarantee institutions (MGIs) and to recommend guidelines for directing their operating management.

The authors analyse the guaranteed portfolios of 19 Italian MGIs and investigate the determinants of the defaulted positions at the end of June 2011. The sample consists of 167,777 guaranteed loans, of which 11,349 are in default. Using regression models, we identify the variables related to the business model of MGIs that are significantly associated with default on their positions.

The defaulted positions of MGIs are significantly correlated with the type of issued guarantees. This condition should be considered in defining product and price policies.

The authors identify some critical issues in the risk-taking processes of MGIs. The tested hypothesis highlights the opportunities for the optimisation of guaranteed loan portfolios, which is necessary for reducing the profitability/liquidity pressures of these financial institutions and enhancing their efficiency as instruments for mitigating the effects of credit rationing and promoting the revitalisation of small-and medium-sized enterprises.

The results are based on an original and reserved dataset, which is not available in public financial statements or public statistics, but is collected directly from the MGIs that are part of the study.

This study aims to assess the influence of partial and simultaneous substitution of fat and sodium by hydrolyzed collagen and mix of herbs (MH) in chicken hamburgers, on the physical properties and proximal composition.

Five formulations were developed: (1) HCON–without adding collagen and MH; (2) C25M25–adding 25% of collagen and 25% of MH; (3) C25M50–adding 25% of collagen and 50% of MH; (4) C50M25–adding 50% of collagen and 25% of MH and (5) C50M50–adding 50% of collagen and 50% of MH. Chicken hamburgers were analyzed by proximal composition, sodium content, collagen and color analysis. The influence of treatments on texture profile, cooking performance and lipid oxidation of chicken hamburger was also investigated.

There was reduction in lipid and sodium for modified formulations compared with the HCON. There was great influence for some parameters, such as luminosity, cooking performance and texture profile. The formulation C50M50 showed the best cooking performance when compared to the others.

The formulation adding 50% of collagen and 50% of MH showed the highest yield and water retention (WR), with the least reduction in diameter and shrinkage, as well as presenting the best indexes of the texture profile and the lowest oxidation index, being recommended as the best combination of fat and sodium replacement.

This study aims to investigate the Big Social Data (BSD) paradigm, which still lacks a clear and shared definition, and causes a lack of clarity and understanding about its beneficial opportunities for practitioners. In the knowledge management (KM) domain, a clear characterization of the BSD paradigm can lead to more effective and efficient KM strategies, processes and systems that leverage a huge amount of structured and unstructured data sources.

The study adopts a systematic literature review (SLR) methodology based on a mixed analysis approach (unsupervised machine learning and human-based) applied to 199 research articles on BSD topics extracted from Scopus and Web of Science. In particular, machine learning processing has been implemented by using topic extraction and hierarchical clustering techniques.

The paper provides a threefold contribution: a conceptualization and a consensual definition of the BSD paradigm through the identification of four key conceptual pillars (i.e. sources, properties, technology and value exploitation); a characterization of the taxonomy of BSD data type that extends previous works on this topic; a research agenda for future research studies on BSD and its applications along with a KM perspective.

The main limits of the research rely on the list of articles considered for the literature review that could be enlarged by considering further sources (in addition to Scopus and Web of Science) and/or further languages (in addition to English) and/or further years (the review considers papers published until 2018). Research implications concern the development of a research agenda organized along with five thematic issues, which can feed future research to deepen the paradigm of BSD and explore linkages with the KM field.

Practical implications concern the usage of the proposed definition of BSD to purposefully design applications and services based on BSD in knowledge-intensive domains to generate value for citizens, individuals, companies and territories.

The original contribution concerns the definition of the big data social paradigm built through an SLR the combines machine learning processing and human-based processing. Moreover, the research agenda deriving from the study contributes to investigate the BSD paradigm in the wider domain of KM.

The contribution of this study aims to twofold: First, it provides an overview of the current state of research on cyberattacks on Chinese supply chains (SCs). Second, it offers a look at the Chinese Government’s approach to fighting cyberattacks on Chinese SCs and its calls for global governance.

A comprehensive literature review was conducted on Clarivate Analytics’ Web of Science, in Social Sciences Citation Index journals, Scopus and Google Scholar, published between 2010–2021. A systematic review of practitioner literature was also conducted.

Chinese SCs have become a matter of national security, especially in the era of cyber warfare. The risks to SC have been outlined. Cybersecurity regulations are increasing as China aims to build a robust environment for cyberspace development. Using the Technology-organization-environment (TOE) framework, the results show that the top five factors influencing the adoption process in firms are as follows: relative advantage and technological readiness (Technology context); top management support and firm size (Organization context) and government policy and regulations (Environment context).

This review focuses on cyberattacks on Chinese SCs and great care was taken when selecting search terms. However, the author acknowledges that the choice of databases/terms may have excluded a few articles on cyberattacks from this review.

This review provides managerial insights for SC practitioners into how cyberattacks have the potential to disrupt the global SC network.

Past researchers proposed a taxonomic approach to evaluate progress with SC integration into Industry 4.0; in contrast, this study is one of the first steps toward an enhanced understanding of cyberattacks on Chinese SCs and their contribution to the global SC network using the TOE framework.