Anthropogenic greenhouse gas (GHG) emissions are recognized as the primary contributor to climate change (CC), with the agri-food system playing a significant role. About one-third of global GHG emissions stem from activities within this system, posing challenges to food productivity and security amid a growing population. Companies in the food value chain must take proactive measures to mitigate their carbon footprint. While existing literature debates mitigation and adaptation strategies, understanding these from a business perspective remains crucial. This study aims to bridge this gap by investigating the business literature on CC within the agri-food system and identifying future research trends. Through a systematic literature review, the authors conducted quantitative and qualitative analyses. A bibliometric analysis identified trends within scientific publications, followed by a qualitative content analysis to uncover thematic areas and research gaps. Publications were gathered from Scopus and Web of Science. In doing so, the research highlights contemporary strategies to understand and tackle CC challenges throughout the food value chain, identifying different practices for each stage of the agrifood value chain, namely i) farming and agriculture, ii) production, iii) distribution iv) consumption and finally v) the whole value chain, offering a holistic perspective on the subject. The research offers practical insights for sustainable strategies by integrating environmental and strategic management principles. Additionally, this article contributes to understanding CC challenges in the agri-food system, highlighting current trends and suggesting future research directions. In particular, the research findings suggest that to effectively mitigate and adapt to CC in the agri-food industry, a holistic approach is crucial. This involves measuring sustainability across various dimensions, integrating technological and managerial measures (e.g. LCA), and considering the entire value chain. Engaging consumers in mitigation and adaptation strategies is essential. By integrating environmental and strategic management, transformational change towards sustainability can be achievable.

This study aims to contribute to the existing literature by examining the impact of KS, digitalization, and innovation on the analytical skills of French companies, and how digitalization and innovation impact these relationships. A Partial Least Squares Structural Equation Modeling (PLS-SEM) approach is employed. 118 retained valid surveys were collected from French companies. The results of this study are expected to provide new insights into how knowledge sharing digitalization and innovation can be leveraged to improve and to build effective and efficient organizational performance, and how focusing on innovation activities and practices can enhance this impact. Furthermore, the findings of this research can be used by practitioners as a guide for implementing digitalization and knowledge sharing strategies, while also considering the role of innovation in achieving competitive analytical capabilities. Additionally, this study can serve as a foundation for future research on the interplay between knowledge sharing, digitalization, innovation, and analytical skills.

As the complexity of public service delivery increases alongside rapid technological evolution, this study aims to understand how knowledge is created, shared, utilized, and preserved within public sector organizations. In doing so, it contributes to a more profound understanding of the intricate dynamics of these organizations, addressing a notable gap in empirical research within this area. Drawing on a quantitative survey distributed among 84 employees working in Italian public sector organizations, this study investigates the current state of knowledge management practices and how well they are integrated into operational plans and organizational culture. The results reveal a strong public employee awareness of knowledge as a vital organizational asset and underscore the urgency of integrating KM strategies to meet the needs of an era characterized by increased competition and expectations. However, challenges remain, particularly in promoting an organizational culture that fosters knowledge sharing and overcomes structural barriers to the free flow of information.

Gender equality is becoming a priority within public agendas and a social issue to be achieved within companies that aim at becoming inclusive organisations that contribute to shaping socially inclusive work places as engines of effective diversity, inclusion and equality management. Today, the organisational inclusion seems to be a satisfying response to the challenge of bringing together diversity of work force and managing diversity by offering inclusive and safe work places as spaces that mobilise equal opportunities and offer respect for everyone. Promoting inclusive workplaces and organisations helps promote gender equality, fostering proactive involvement and participation of women at work and in decision-making places, opening to employing the full potential of human capital of women and men, investing within people at work as intelligent humans that make the difference for organisational effectiveness, and identifying a pathway for social inclusion and ensuring better quality of life within workplaces.

This paper addresses the urgent need to understand and address the profound reasons of corporate activities on biodiversity and natural capital. Despite the significant reliance of various sectors on natural resources, corporate accountability for biodiversity remains understudied, particularly within the agrifood industry. This study aims to fill this gap by examining corporate reporting practices, motivations, and challenges related to biodiversity conservation. Through two case studies in the coffee sector, the research explores the perspectives of business managers and analyses sustainability reports and company websites. The study employs a qualitative content analysis, using a biodiversity disclosure index to evaluate the comprehensiveness of companies’ disclosures. Additionally, interviews with managers provide insights into their attitudes towards biodiversity and the strategies driving corporate involvement in biodiversity reporting. By triangulating primary and secondary data, the research sheds light on the extent to which companies genuinely address biodiversity conservation in their operations. The results reveal biodiversity as a longstanding focal point for these companies. While strategic initiatives aimed at environmental protection indeed underscore the genuine accountability of these companies in biodiversity matters, their disclosures remain superficial. This limitation hampers a comprehensive understanding of corporate commitments as quantitative and verifiable data are lacking. This study contributes to the emerging field of biodiversity accounting and reporting by providing empirical evidence from the agrifood sector and advancing theoretical understanding surrounding biodiversity disclosure.

The aerospace ecosystem is facing continuous challenges to optimize resource allocation and utilization, improve safety and security, support environmental sustainability, and boost economic growth. The continuous evolution being accelerated by technological breakthroughs, has proliferated in research efforts to advance the domain and enhance the aerospace ecosystem value. Yet, the knowledge gathered in these research efforts is complex and difficult to implement into practice. We develop a meta-synthesis of 15 qualitative articles published in the domain to identify mechanisms for successful implementation of digital aerospace ecosystems. The findings address drivers of successful implementation across four main dimensions: resilience of innovation ecosystems, collaborative innovation, ecosystem dynamics advancement and sustainable innovation ecosystems. A thorough analysis of the articles enables a comprehensive understanding of factors affecting each of these dimensions and enhance the aerospace eco(value)system.

The growing focus on sustainability has prompted companies to implement circular economy strategies. Their adoption aims to ensure environmental preservation by minimising and managing waste. The concept of circular economy is widely discussed in literature, as public and private institutions have emphasised the need to adopt this paradigm to support sustainable development, as demonstrated by the United Nations’ SDGs. Despite the interest in circular economy adoption, there is a lack of empirical analyses that establish its determinants. The adoption of this paradigm requires several evolutions within the company’s context, as well as business model innovation. This article aims to fill this gap by analysing the role of innovation, measured by R&D expenses, on a company’s circular economy performance. To test the research hypothesis, a cross-sectional regression was applied using OLS estimators. The study was conducted on a sample of 200 European companies with large capitalisation during 2022, with data taken from the Refinitiv database. The results support the positive impact of innovations on the circular economy. This study extends the existing literature on this topic and closes the existing research gap between innovation and the circular economy by using empirical analysis. The study provides useful implications for policymakers, managers, customers, and governments.

As the imminent deadline of the 2030 Agenda approaches, a substantial number of its 17 Sustainable Development Goals (SDGs) remain unattained, necessitating accelerated efforts to make significant progress within the remaining six years. Since the large number of indicators, associated to the SDGs, are intertwined in complex non-linear ways, considering their actual synergies and trade-offs to prioritize them plays a key role in their successful implementation. This prioritization is essential for taking impactful and actionable steps and efficiently utilizing available resources. In particular, indicator-level analysis is of special importance as it offers a more granular perspective enabling the formulation of clear governance recommendations for stakeholders. Efforts in this field have encounter challenges, such as the inadequacy of traditional regression methods due to the inherent correlations and complex interdependencies among the SDGs. Additionally, the scarcity of data from many countries’ SDG indicators has limited the scope of previously performed analyses. This article performs an Artificial Intelligence method, a Random Forest, to address these challenges due to its ability to deal with correlated and non-linear data. Furthermore, it focuses on high-quality data from OECD countries to reduce the necessity for extensive data manipulation that might introduce uncertainties and diminish the validity of the analysis. The obtained results pinpoint income inequality as the most significant factor impacting OECD countries. This underscores income inequality’s profound influence on high-income countries and its impact on other SDGs. Further key indicators include SO₂ emissions embodied in imported goods and services (kg/capita), proportion of urban population living in slums and population’s access to clean fuels and cooking technology. These results showcase the multifaceted nature of sustainability challenges in OECD nations and provide new insights into key drivers for OECD members that significantly impact the attainment of the 2030 Agenda. Furthermore, the prioritized indicators found by this study will support stakeholders in developing effective resource allocation strategies.

The Oil & Gas (O&G) sector is considered one of the major contributors to environmental impacts due to its intensive reliance on fossil resources and significant release of greenhouse gases. It also represents a key sector for the adoption of circular economy (CE) strategies to address these challenges and advance toward achieving the Sustainable Development Goals (SDGs). Accordingly, the present research aims to examine how the O&G sector’s commitment to the SDGs influences and supports the circular transition. Starting from developing a CE performance index based on the SDGs, the study aims to explore the impact of some firm characteristics on the CE performance index for SDGs. More in detail, adopting a legitimacy theory perspective, the empirical analysis focuses on a global sample of companies operating in O&G sector, highlighting how financial and corporate governance variables influence firms’ ability to implement CE practices in line with the SDGs effectively. The study offers several implications that could have broader relevance for policymakers, industry practitioners, and academia, fostering a more comprehensive understanding of the challenges and opportunities associated with embracing CE principles for sustainable development in hard-to-decarbonise sectors.

Water supply companies are increasingly expected to contribute to achieving Sustainable Development Goals (SDGs), being among the leading actors in environmentally sensitive sectors. Accordingly, they are also called to increase their transparency on SDGs to gain legitimacy for their operations and acquire social consensus. To this end, social media may represent a valid instrument for implementing two-way communication with stakeholders, going beyond the boundaries of traditional financial or annual reports. With this in mind, this study extends academic knowledge on the SDG disclosure practices of water supply companies via social media. The ultimate paper’s goal is to examine the possible determinants of such disclosure practices. A manual content analysis was conducted on a sample of 64 Spanish water supply companies’ official Twitter accounts to determine the SDG disclosure levels. Under the lens of legitimacy theory, different regression models were implemented to test some firm characteristics’ impact on the SDG disclosure level provided by Spanish water supply companies via Twitter for the year 2021. Results reveal that Spanish water supply companies are still slow to realise the potential of social media to increase their engagement with stakeholders and legitimise their position in society concerning their commitment to achieving SDGs. More profitable companies, as well as non-state-owned ones, appear more prone to disclose SDG information. This paper adds to existing research by exploring SDG disclosure in water companies, an underdeveloped area. Unlike previous studies focusing on conventional channels, this analysis examines SDG disclosure on social media, a novel perspective yet to be extensively studied.

The abolition of child labour is one of the four fundamental human rights in the workplace as defined by the ILO and SDGs. However, since the advent of globalisation, several multinational corporations that have relocated production and labour-intensive activities to developing countries have violated this right. Although public institutions and governments have introduced a range of interventions to regulate corporate activities and protect the rights of children, instances of child labour adoption are still being reported. The article analyses the disclosure practices of multinational corporations about child labour and identifies measures adopted to address child labour issues. A content analysis technique is utilised on 98 sustainability reports from multinationals globally, operating in industries with a high child labour risk. The findings indicate a limited level of disclosure regarding this topic, with a preference for preventive rather than detective and reactive measures. The analysis findings are categorised according to impression management theory, affirming the hypothesis of negative event omission and text manipulation in shaping the corporate image. These outcomes have valuable implications for the development of the knowledge management theory as well as for managers, policymakers, and stakeholders.

The transformation of workplaces that has occurred since the COVID-19 epidemic, particularly the increased use of telework, has resulted in the emergence of new challenges as well as opportunities. The purpose of this paper is to investigate these trends, using the example of early post-pandemic coworking spaces, flexible workspaces that offer a professional environment, and the conveniences of working from a third place that is neither home nor a typical office. This research uses questionnaires and in-depth interviews with users, managers, and owners of coworking spaces. A hierarchical line-by-line approach qualitatively evaluated the interviews. The surveys were examined using descriptive statistics due to the exploratory nature of the research. According to the findings, the majority of owners and managers of coworking spaces observed a decrease in membership either during or after the COVID-19 epidemic, which caused disruptions in the operations of their spaces, leading to temporary and even permanent closures. They believed that the initial effect was detrimental to activities that took place in person while simultaneously enhancing those that took place in a virtual environment. It was not casual gatherings but rather professional events that were the driving force behind the increase in online connections with people who use coworking spaces. The results of the latter survey, which centred on the perceptions of people who utilise coworking spaces, indicated that the coworking spaces had been steadily recovering from the pandemic disruption. The vast majority of coworkers have stated that they have resumed using these places at a level that is equivalent to what it was before the pandemic, and some of them have even increased the frequency of their visits. As individuals and organisations adjust to the new normal that has emerged in the wake of the pandemic, these data demonstrate that coworking spaces have experienced a resurgence. The popularity of virtual communication and the events that continue to be a part of the new normal for coworking spaces, however, are examples of the pandemic’s long-lasting effects.

This conceptual paper aims to present the results of the literature analysis devoted to the application of knowledge management and its processes in the situation of a crisis caused by a natural disaster. On the basis of the analysed papers, the theoretical model linking knowledge management and crisis management for the tourism industry has been proposed. The proposed theoretical model presents the role of KM in disaster management and provides the KM-oriented activities at various stages before, during and after a disaster. Due to the severity of potential consequences of natural disasters, both whole regions and particular organisations need to be prepared in advance for their occurrence. This can be done with the help of knowledge management practices which can support tourism companies in developing effective tourism crisis strategies. This study is based on the analysis of the literature related to natural disasters and the ways how knowledge management and organisational learning can be useful in case of their occurrence, as well as before and after. The paper offers new insights for researchers dealing with the topic of knowledge management processes in the context of disaster management. The practical contribution of this study lies in its potential to guide the tourism industry in leveraging knowledge management for effective crisis preparedness, response, and recovery in the context of natural disasters. At this stage of development, the proposed study is of theoretical character. This limitation will be overcome in the future research activities that involve a sample of tourism organisations from various countries and regions.

The tourism industry has undergone rapid evolution in recent decades, although this growth was interrupted by the Covid pandemic. The sector’s recovery was largely driven by technological advances that have led and are leading to the digital transformation of the sector. Digital transformation offers numerous opportunities to enhance the tourist experience, from trip planning to the destination experience. The adoption of technologies such as virtual reality and big data makes possible to offer personalised services to tourists, optimise resource management and provide relevant information in real-time. However, to take full advantage of these opportunities, tourism organisations must be capable of adopting and making the most of these technologies. Existing literature has shown that established routines, inertia, and path dependencies of existing businesses operate as barriers to digital change. In other words, traditional knowledge structures and embedded practices and routines in organisations can hinder the implementation of disruptive change and the adoption of new technologies. Also, in the era of big data, managers often face difficulties discerning relevant information due to its overwhelming volume, potential biases, misleading nature and misinformation. This complexity can make difficult to accurately identify crucial information for specific purposes. Based on the above, we argue that unlearning practices can help stakeholders in the tourism industry become aware of the knowledge structures, processes, and practices that create value. Likewise, it supports identifying and rectifying habits that hinder the recognition of these value-generating assets, facilitating a process of organisational relearning. Despite the influence of unlearning in the digital transformation of other sectors, no studies have analysed the role of unlearning in the digital transformation of the tourism sector. In this study, we discuss the role of unlearning in this sector and, theoretically, the need to update the existing scales. We base this need on the importance of giving a dynamic perspective. We also argue that studies on organisational unlearning should also address tourists’ capacity to adapt to digital changes imposed by companies as digital development is transforming how tourism destinations are conceived and managed, as well as the expectations and behaviours of travellers. In a nutshell, we believe that the development of the dynamic capability of organisations to unlearn may hold significant potential for their digital transformation.

The theme of the city is gaining more and more importance in the political debate because of the renewed planning attention imposed by urban policies, their ability to open up to the processes of European integration, and as far as southern cities are concerned, their ability to present themselves as an anti-crisis factor, investing themselves with an essential role in the success of territorial and social cohesion policies. Culture penetrates into the life of the city and the social sphere, and the knowledge of space is discussed as a project of social anticipation, forming sensitivities and thoughts around the city and the territory. Cities are constantly evolving and our hamlets with their marginal and rural areas represent an enormous potential, to which a process of critical reading and participatory redevelopment with the help of new technologies must be applied, also assessing and monitoring the risks. The new theories that are evolving internationally suggest how new and multiple phenomena are contributing to the reconfiguration of the urban, from the decentralisation of typical city functions, both residential and commercial, to the increase in mobility, to the fragmentation of the social and business components, to the development of technologies and the infrastructure network. The promotion of the territory passes through these issues. In fact, tourism is one of the sectors with the greatest economic impact at international level, since it directly affects the provision of city services and the way people live together. Networking the places of tourism, making the Italian tourist offer truly accessible, is the main challenge to achieve a series of benefits for the entire system: from decongesting the major tourist destinations to enhancing the thousands of cultural, sporting, environmental and food and wine attractions in our country. Moreover, accessibility to the tourist offer is an enabling condition to favour the deseasonalisation of tourist flows with consequent positive impacts in terms of the use of financial and human resources. In this paper we propose some key concepts related to smart tourism and the fundamental steps for the definition of a smart tourism destination, as a guide for implementing technological models and innovative scenarios for the integrated management of tourist flows and the risk deriving from climate change, preserving and enhancing the architectural and environmental heritage.

The integration of Business Process Model and Notation (BPMN) and process mining techniques offers a promising path for analysing and improving judicial proceedings. This study investigates into the utilization of BPMN for modelling judicial processes and employs process mining to analyse process logs obtained from the Employment section of the Turin Court. Data extraction and identification of the attributes were followed by a Statistical analysis, to reveal general patterns of the logs. Preprocessing included removal of outliers, cleaning of inconsistencies and redundancies, data aggregation. The result allowed our interdisciplinary team to focus only on critical elements. Thanks to a process mining tool (Apromore) we could visualize and analyse the process map, allowing comparison with the BPMN model from previous work. The “Hearing waiting time and hearing” activity significantly impacts the duration of the proceeding. This activity may occur repeatedly, and its duration is especially noticeable for the initial hearing. The analysis of process variations concentrated on differences in the closing phase of the proceeding and its influence on the overall duration. Variations ending with premature and anomalous termination show the smallest average time, followed by proceedings involving settlements or Fornero procedures. Understanding the factors influencing these outcomes contributes to a deeper understanding of process dynamics. Overall, this research underscores the value of process-oriented analysis in judicial settings, offering useful vision to improve efficiency and performance. By focusing on specific activities and phases, our study provides a foundation for further investigations into court proceedings, with broader implications for judicial practice and policy.

Forecasting home prices is very challenging due to the large number of variables that affect this dynamic market. The complexity lies in the interaction between economic, social, and political factors that together determine the value of the property. Price setting on a real estate property depends on a myriad of variables, some of which are quantitative, while others are qualitative. The former can probably be measured or estimated, while the latter are mainly guessed by an individual who has the appropriate expertise. But bearing in mind the importance of context, subjectivity and the dynamism of the market, it can be easily understood that prices of real estate properties are almost impossible to predict. Unless AI techniques, that gather vast sums of information, are in use. The present paper concerns the question of whether price formation in the real estate sector can be predicted by using AI techniques. Due to the novelty of the topic, a qualitative methodology based on a bibliometric analysis has been put in place. The results show a rapid evolution of research that has accelerated in recent years, adopting new terminology as technology develops. This is associated with the participation of different relevant authors that form a decentralized knowledge network.

In today’s rapidly evolving digital landscape, Managed Service Providers (MSPs) play a crucial role in meeting the intricate Information Technology (IT) needs of organisations. As IT systems become increasingly complex and the demand for specialised expertise grows, MSPs emerge as strategic partners for businesses seeking to streamline operations and drive innovation. However, there remains a significant gap in understanding the precise role of MSPs in catalysing innovation and how their services differ from those of traditional IT service providers. This paper aims to bridge this gap by exploring organisations’ attitudes and perceptions towards MSPs, focusing on their role in driving innovation and ensuring security. Additionally, it investigates the future technologies that organisations aspire to adopt and evaluates whether MSPs are positioned to support these advancements. The study also examines the influence of company size on the inclination to engage with MSPs and highlights the importance of consultative selling in MSPs’ success. Through empirical research based on multiple case studies and a quantitative questionnaire approach, expert, and managerial insights into the business models of MSPs in the DACH region are gathered. The findings reveal that AI and cloud computing are the top two future technologies of interest, with MSPs well-positioned to support their adoption. Company size does not significantly influence the willingness to engage with MSPs, and both small businesses and larger enterprises show interest in innovation and security. The maturity of business processes and concerns about knowledge loss are identified as primary barriers to engaging with MSPs, emphasising the importance of trust-building and collaboration. Consultative selling emerges as crucial for MSPs’ success, enabling them to understand customer needs and tailor solutions accordingly. Summing up, valuable insights are provided into the role of MSPs in driving innovation and ensuring security within organisations. By addressing the hypotheses outlined and synthesising insights from academic literature and consulting studies, it contributes to both academic scholarship and industry practices, facilitating the advancement of the IT industry and knowledge translation efforts.

This study aims to understand the relationship between Artificial Intelligence and technostress in organisational context. It was conducted a systematic literature review and a bibliometric analysis by using two online databases, such as Scopus and WOS. A dataset of 64 publications was analysed through citation and keyword analysis. Results shows a growing interest about the relationships between Artificial Intelligence and technostress in the organisational field considering different context such as business, educational-training, medical-healthcare and consumer sector. The analysis of the papers shows, also, specific topics addressed by each paper linked with the principle of the relationship between Artificial Intelligence and technostress in organisational context. This paper contributes to the literature by presenting a comprehensive overview on the topic and leads to further reflections on the possibility to expand the studies in particular in the business, educational-training and medical healthcare sectors in the Italian scenario, where there are still few contributions, to expand the study considering, also, other sources from which to extrapolate further and interesting data and to constantly updated the study.

Cities of tomorrow will invest knowledge sources in driving creative-led and culture-driven urban regeneration that contribute to revitalizing urban spaces and driving sustainable and inclusive urban growth, leading to community development and engagement. Urban regeneration processes enable creative cities to be socially inclusive communities that rediscover the importance of collaborative innovation as a framework that helps shape wealthy urban spaces into engines of social innovation. It is relevant to map the present state of knowledge and practices to better prepare for future creative cities. The present paper investigates the relationships between creative cities and urban regeneration, as presented by the main academic outlets. The current bibliometric analysis identified five main research dimensions: macro-level phenomena, urban regeneration based on culture and communities, cultural policies, sustainability, and policies leading to the sustainable development of creative cities.