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The discourse on global value chains (GVC) is undergoing a transformation in terms of its conceptualisation, theorisation and pragmatic applications. Today, the production systems have become more complex as global economic order continues to witness marked geo-economic manoeuvring. Thus, the direction of discourse on GVC ought to move from mere theoretical propositions toward becoming more evidence based. There have been recent studies that have used the governance and upgrading propositions by Gary Gereffi and others to seek quantitative evidence. This study aims to decipher the quantitative discourse on GVC and to set the emerging and future research agenda.

Through a systematic literature review, the authors first analyse the quantitative studies on GVC carried out during the last two decades. The authors then outline a future research agenda and examine a few relevant modelling techniques that could potentially be used to solicit newer evidence in GVC research.

The authors categorise the quantitative discourse on GVC into three crucial themes, namely, GVC framework, GVC participation and position, environmental aspects and regionalisation in GVC. The most commonly used quantitative techniques are gravity model, panel data estimation, structural decomposition analysis and computable general equilibrium modelling.

This paper contributes to the GVC discourse in two ways. Firstly, the authors argue that the theoretical frameworks within the GVC discourse should be complemented by evidence-based quantitative studies. Secondly, the authors suggest potential modelling techniques that can be used on the emerging and future research agenda.

This paper aims to examine the role numbers play in corporate environmental reporting. To deeply examine the ontological meanings of enumeration in the context of nature, the histories of number and accounting are explored. Some key tropes emerge from these histories, namely, distancing and control.

To explore some of the implications of quantifying nature, three years of environmental reports of ten companies from the ASX200 are analysed through a Barthsian lens. Examples of enumerating nature are highlighted and explored in terms of what this means for the corporate relationship with nature. This study has focussed on some specific aspects of nature that are commonly counted in corporate environmental reporting: carbon, energy, water, biodiversity and waste. This study explores how monetisation and obfuscation are used and how this informs the myth that nature is controllable.

This study finds that quantifying nature constructs a metaphorical distance between the company and the natural world which erodes the sense of connection associated with an authentic care for nature. These findings are critical in light of the detrimental impact of corporate activity on the natural world. The reports themselves, while promoted as a tool to help mitigate damage to the natural environment, are implicitly perpetuating its harm.

Given the extent to which companies are responsible for environmental damage and the potential capacity embedded in corporate communications, better understanding the implications of quantifying nature could powerfully instigate a new but necessary approach to nature.

The insights of this paper are relevant to those aiming to improve the underpinning approaches used in corporate environmental reporting. This paper provides new understandings of the ways quantitative expression of environmental values constructs the myth that nature is controllable.

Globalization, the ever-increasing worldwide flow of ideas, practices, and material objects resulting in increasing interdependency between people and nations across the globe, has numerous interrelated economic, political, cultural, ideological, environmental, and technological facets.

In an effort to make the elusive and multifaceted concept of globalization more tangible and measurable, different instruments have been developed, usually in the form of “indexes” based on quantitative data. These indexes mainly result in rankings of individual cities as well as whole countries with respect to their supposed level of globalization. Some items of the existing indexes to measure the level of globalization of nation states or cities refer to phenomena that are to some extent visually observable, but many aspects and manifestations of globalization escape these rather crude operationalizations.

Visual approaches to globalization help to enrich and complement the more abstract and mainly quantitatively supported discourses around this multifaceted phenomenon. They may provide valid and unobtrusive ways to assess and understand the impact of culture and cultural exchange in the daily lives of inhabitants of cities around the world and add a unique “localized,” cross-cultural empirical perspective to the many divergent views and discussions about the presumed beneficial or detrimental nature of these processes. An ‘in situ’ visual approach to globalization may help to uncover the “real life” impact and the specific contexts of these processes at different locations. This chapter discusses different options for researching globalization and cultural change in cities.

Based on the theoretical background of stakeholder capitalism, the purpose of this paper is to contribute to the scientific debate on the topic of public–private partnerships (PPPs), considering in particular how this governance structure relates to the pursuit of sustainable development. Specifically, this objective will be pursued with a focus on stakeholder relations and governance aspects, to highlight enablers and barriers in change for sustainability.

The systematic literature review is applied starting with the use of keywords in Web of Science, which leads to the extrapolation of 629 articles on the topic of “PPP and sustainability”. Subsequently, through various skimming steps, 75 papers are sampled. A mixed (quantitative-qualitative) approach is then followed: a co-word semantic network to identify the pattern of discourse and a more in-depth and explanatory analysis of the papers. These quantitative and qualitative tools synergistically work together to evidence the main aspects related to the aim of the paper.

With reference to the governance structure and stakeholders of PPPs, the analyses highlight the shift towards a triadic type of relational governance that considers stakeholders (especially the community) in addition to public–private partners. This can improve the partnership's performance (particularly in sustainable development) and social legitimacy. With reference to the role of PPPs in the implementation of sustainable development, they have positive potential in terms of implementing sustainability and raising stakeholder awareness of it. Nevertheless, PPPs may entail risks to the implementation of sustainability. The findings lead to some concluding remarks on future research opportunities.

The research leads to some managerial implications, such as the need to follow a competitive collaboration approach among stakeholders, to develop relational governance skills and related managerial tools and to incorporate sustainability aspects starting from the design of PPPs.

The originality aspect of this research is the consideration of a PPP by relating it to the pursuit of sustainability. Such an inter-organizational structure could be suitable to deal with the complexity inherent in the implementation of sustainability and is peculiar in terms of governance and stakeholder relations, considering that it is characterised by the presence of several partners of different nature (public and private).

This research aims to explore the potential of big data technology for sustainable management and investigate its impact on tourism. Its goal is to obtain meaningful results related to sustainable tourism to understand better how big data technology plays a role in decision-making by looking at it through the lens of various studies.

A systematic review, which is a qualitative method, was used in this study. The analysis was conducted using secondary data from the Web of Science Core Collections databases.

Big data technology has many economic benefits for businesses, but it also has managerial benefits such as forecasting, decision-making and tracking human and machine behaviour. Furthermore, big data technology offers sustainability benefits such as resource efficiency, preventive quality systems, carbon reduction and environmentally friendly production.

Big data's capabilities enable businesses to make more informed business decisions, improve overall business performance and contribute to achieving various SDGs. Big data, which aids in developing smart and sustainable tourism in the tourism sector, assists tourism managers in making economically, socially and environmentally sound decisions.

Financial analysts' roles and incentives mean that they have conflicting identities to maintain towards investors and firm managers. The authors study how analysts adopt various politeness strategies in their questioning to establish socially desirable identities in the Q&A of publicly accessible earnings calls.

The study is based on a sample of US firms with extreme earnings changes. 46 transcripts of end-of-year earnings calls were investigated with the help of linguistic discourse analysis, drawing on frameworks of face and linguistic politeness. For each transcript, the authors identified the structure of the face-threatening acts (FTAs) that arise when analysts ask probing questions and ascertained what specific politeness strategies, if any, are used by analysts to mitigate those FTAs. The authors examine how analysts perform identities through politeness in language and compare analysts' politeness behaviour and identity construction in the increasing earnings sub-sample with the decreasing earnings sub-sample.

Analysts negotiate different identities according to specific social contexts, promoting their identity as (1) competent professionals when firms report problematic performance by asking questions in a confrontational manner with few politeness strategies and (2) dependents of the firm by asking questions in a more polite manner when firms experience satisfactory performance. Analysts aim to present a socially desirable face in Q&A to influence managers' and investors' perceptions.

The study raises awareness about linguistic politeness as a communication strategy in the Q&A in earnings calls. It thereby enables managers and analysts to use linguistic politeness consciously and strategically and to recognise such use by others.

This study complements existing literature on earnings conference calls as part of external corporate communications by focusing on analysts' use of language when interacting with manages. To the best of our knowledge, this paper is the first to show that politeness underpins analysts' language use as a device for identity negotiations. This is important to understand because analysts' identities vis-a-vis managers and investors is closely related to the stability of the financial system.

The objective of this chapter is to help unpack the performance-enhancing role of certain capabilities that influence the decision of female immigrant entrepreneurs to rapidly internationalise. It employs a capabilities perspective of the broader resource-based theory and contributes to existing research involving capabilities that facilitate or inhibit rapid internationalisation. One strand of earlier literature highlights a potential ‘double disadvantage’ among particular female immigrant entrepreneurs associated with gender and ethnicity. An alternative strand of prior research identifies certain gender and ethnic resources/capabilities like cultural knowledge that can provide potential advantages. Findings from interviews with 11 female immigrant entrepreneurs that migrated to the UK, and selected secondary data, form an instrumental case study. New insights emerge regarding the potential role of appropriate stakeholders in transforming operational capabilities to those of a threshold or potentially dynamic nature. The findings suggest that generalisation should not occur regarding earlier literature investigating practices in other sectors.

This study aims to determine how the most sustainable brands in Italy and Spain developed communication and awareness-raising actions during the COVID-19 pandemic and whether these companies were truly involved in raising public awareness of the pandemic. The authors specifically focus on sustainable companies, as health communication is considered to be an important corporate social responsibility task.

To answer these questions, the authors have used data on the social media activity (Twitter and Instagram) of these brands in Spain and Italy, extracting the posts and associated hashtags that each of them has published throughout the pandemic to be processed using social network analysis and visualization techniques.

The detailed analysis of both the levels of activity and the content of the messages provides interesting insights into the communication models of the companies and the influence of factors such as time, country and the specific social media platform used.

The authors analyze the communication of the most sustainable businesses on social media during the pandemic, adopting a highly innovative approach. The particular originality of this study lies in the parallel analysis of two different countries that were simultaneously shaken by the pandemic in very similar circumstances. This study also presents a novel use of graphical representation tools in terms of companies’ behavior for health communication on social media.

El objetivo de esta investigación es determinar cómo las marcas reconocidas como las más sostenibles en Italia y España han desarrollado acciones de comunicación durante la pandemia del Covid-19 y si estas empresas se han involucrado realmente en la sensibilización pública de la pandemia. Nos centramos específicamente en las empresas sostenibles dado que la Comunicación en Salud se considera una tarea importante de responsabilidad social corporativa.

Para responder a estas preguntas, hemos utilizado datos de actividad en medios sociales (Twitter e Instagram) de estas marcas en España e Italia, extrayendo los posts y hashtags asociados que cada una ha publicado a lo largo de la pandemia para procesarlos usando técnicas de análisis y visualización de redes sociales.

El análisis detallado tanto de los niveles de actividad como del contenido de los mensajes permite obtener conclusiones interesantes sobre los modelos de comunicación de las empresas y la influencia de factores como el tiempo, el país y el medio social concreto utilizado.

Analizamos la comunicación realizada por las compañías más sostenibles en medios sociales durante la pandemia, adoptando un enfoque muy innovador. La particularidad de este estudio radica en el análisis paralelo de dos países diferentes que fueron sacudidos simultáneamente por la pandemia en circunstancias muy similares. Este estudio también conlleva un uso novedoso de herramientas de representación gráfica en términos del comportamiento de las empresas para Comunicación en Salud en medios sociales.

本研究的目的是确定在意大利和西班牙被认为是最可持续发展的品牌在Covid-19大流行期间是如何开展传播行动的, 以及这些公司是否真正参与了提高公众对该大流行病的认识。我们特别关注可持续发展的公司, 因为健康传播被认为是企业社会责任的一项重要任务。

为了回答这些问题, 我们使用了这些品牌在西班牙和意大利的社交媒体活动数据（Twitter和Instagram）, 提取了每个品牌在整个大流行期间发布的帖子和相关标签, 并使用社交网络分析和可视化技术进行处理。

通过对活动水平和信息内容的详细分析, 可以得出关于这些公司的传播模式以及诸如时间、国家和所使用的特定社交媒体等因素的影响的有趣结论。

我们分析了最可持续的公司在大流行期间在社交媒体上进行的传播, 采取了一种非常创新的方法。这项研究的特殊性在于对两个不同国家的平行分析, 这两个国家在非常相似的情况下同时受到大流行病的冲击。这项研究还包括在社交媒体上对公司健康传播行为的图形表示工具的新颖使用。

In order to solve the problem of inaccurate calculation of index weights, subjectivity and uncertainty of index assessment in the risk assessment process, this study aims to propose a scientific and reasonable centralized traffic control (CTC) system risk assessment method.

First, system-theoretic process analysis (STPA) is used to conduct risk analysis on the CTC system and constructs risk assessment indexes based on this analysis. Then, to enhance the accuracy of weight calculation, the fuzzy analytical hierarchy process (FAHP), fuzzy decision-making trial and evaluation laboratory (FDEMATEL) and entropy weight method are employed to calculate the subjective weight, relative weight and objective weight of each index. These three types of weights are combined using game theory to obtain the combined weight for each index. To reduce subjectivity and uncertainty in the assessment process, the backward cloud generator method is utilized to obtain the numerical character (NC) of the cloud model for each index. The NCs of the indexes are then weighted to derive the comprehensive cloud for risk assessment of the CTC system. This cloud model is used to obtain the CTC system's comprehensive risk assessment. The model's similarity measurement method gauges the likeness between the comprehensive risk assessment cloud and the risk standard cloud. Finally, this process yields the risk assessment results for the CTC system.

The cloud model can handle the subjectivity and fuzziness in the risk assessment process well. The cloud model-based risk assessment method was applied to the CTC system risk assessment of a railway group and achieved good results.

This study provides a cloud model-based method for risk assessment of CTC systems, which accurately calculates the weight of risk indexes and uses cloud models to reduce uncertainty and subjectivity in the assessment, achieving effective risk assessment of CTC systems. It can provide a reference and theoretical basis for risk management of the CTC system.

There is a growing need for methodological plurality in advancing operations management (OM), especially with the emergence of machine learning (ML) techniques for analysing extensive textual data. To bridge this knowledge gap, this paper introduces a new methodology that combines ML techniques with traditional qualitative approaches, aiming to reconstruct knowledge from existing publications.

In this pragmatist-rooted abductive method where human-machine interactions analyse big data, the authors employ topic modelling (TM), an ML technique, to enable constructivist grounded theory (CGT). A four-step coding process (Raw coding, expert coding, focused coding and theory building) is deployed to strive for procedural and interpretive rigour. To demonstrate the approach, the authors collected data from an open-source professional project management (PM) website and illustrated their research design and data analysis leading to theory development.

The results show that TM significantly improves the ability of researchers to systematically investigate and interpret codes generated from large textual data, thus contributing to theory building.

This paper presents a novel approach that integrates an ML-based technique with human hermeneutic methods for empirical studies in OM. Using grounded theory, this method reconstructs latent knowledge from massive textual data and uncovers management phenomena hidden from published data, offering a new way for academics to develop potential theories for business and management studies.