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The purpose of this paper is to develop a software-library in the R programming language that implements the concepts of the interpretive coordinate, interpretive axis and interpretive plane. This allows for the automatic and reliable interpretation of results from the multiple correspondence analysis (MCA) as previously proposed and published. Consequently, the users can seamlessly apply these concepts to their data, both via R commands and a corresponding graphical interface.

Within the context of this study, and through extensive literature review, the advantages of developing software using the Shiny library were examined. This library allows for the development of full-stack applications for R users without the need for knowledge of the corresponding technologies required for the development of complex applications. Additionally, the structural components of a Shiny application were presented, leading ultimately to the proposed software application.

Software utilizing the Shiny library enables nonexpert developers to rapidly develop specialized applications, either to present or to assist in the understanding of objects or concepts that are scientifically intriguing and complex. Specifically, with this proposed application, the users can promptly and effectively apply the scientific concepts addressed in this study to their data. Additionally, they can dynamically generate charts and reports that are readily available for download and sharing.

The proposed package is an implementation of the fundamental concepts of the exploratory MCA method. In the next step, discoveries from the geometric data analysis will be added as features to provide more comprehensive information to the users.

The practical implications of this work include the dissemination of the method’s use to a broader audience. Additionally, the decision to implement it with open-source code will result in the integration of the package’s functions by other third-party user packages.

The proposed software introduces the initial implementation of concepts such as interpretive coordination, the interpretive axis and the interpretive plane. This package aims to broaden and simplify the application of these concepts to benefit stakeholders in scientific research. The software can be accessed for free in a code repository, the link to which is provided in the full text of the study.

In brand activism, a brand promotes contested sociopolitical causes to highlight its values. Brand activism also alienates those consumers who disagree with the cause, who might, consequently, target the brand with critical, negative or even aggressive actions. This paper aims to study the triggers and strategies of consumers’ antibrand actions given in response to brand activism.

Qualitative content analysis and multiple correspondence analysis were used to study consumer responses directed at a chocolate brand’s campaign that advocated civilized online conversions and opposed hate speech, a politically heated topic. In total, 1,615 messages were collected from social media platforms.

Field infringement, political accusations and questioned impact of the campaign triggered consumers to turn against the campaign. Strategies to undermine it included boycotting, discrediting the brand and trapping. Trapping – creatively using technological affordances to create harm to the brand – was typically triggered by political associations.

Findings relate to the critical responses regarding one campaign only.

By understanding the political discussion around the chosen cause, including the opponents’ typical triggers and strategies, brand activism can more credibly advocate for contested social causes and communicate brand values.

Political antibrand actions are distinct from the previously identified functional and ethical antibrand actions, and they are noninstrumental by nature. Practices that are native to social media are central to political antibrand actions, and social media platforms contribute to how such disappointment is articulated and acted upon.

The purpose this paper is to review some of the statistical methods used in the field of social sciences.

A review of some of the statistical methodologies used in areas like survey methodology, official statistics, sociology, psychology, political science, criminology, public policy, marketing research, demography, education and economics.

Several areas are presented such as parametric modeling, nonparametric modeling and multivariate methods. Focus is also given to time series modeling, analysis of categorical data and sampling issues and other useful techniques for the analysis of data in the social sciences. Indicative references are given for all the above methods along with some insights for the application of these techniques.

This paper reviews some statistical methods that are used in social sciences and the authors draw the attention of researchers on less popular methods. The purpose is not to give technical details and also not to refer to all the existing techniques or to all the possible areas of statistics. The focus is mainly on the applied aspect of the techniques and the authors give insights about techniques that can be used to answer problems in the abovementioned areas of research.

The study aimsto analyze the main elements associated with the evolution of Brazilian agtechs from the initial conception of the business model to becoming companies in the scale-up stage.

The exploratory research was conducted based on data collected through in-depth interviews. The answers were analyzed quantitatively using descending hierarchical classification (DHC) and correspondence factor analysis (CFA) and qualitatively using content analysis.

Five main elements were identified as responsible for the evolution of the companies up to their entering the scale-up phase: (1) governance, (2) decisions inherent to resource allocation, (3) monitoring of strategic, tactical and operational activities, (4) fostering human capital development and (5) business model validation. Each element presents a set of performance indicators that show the scalability of these companies.

The model developed can help companies that have not yet advanced from the conception of the business model to the scalability of different sectors, in addition to agribusiness.

Proposal of a model that presents the main elements that impact on scalability and respective indicators that contributed to the scalability process of Brazilian agtechs.

This study contributed to advancing the knowledge on the organizational life cycle (OLC) of agricultural startups, particularly regarding the factors responsible for their scalability.

This paper proposes adequate strategies that companies, public administrators and organisations in the education industry can undertake to successfully face the challenges of digital transformation in a regional innovation system. This research considers stakeholders that operate in the Tyrol–Veneto macroregion (the Tyrol, South Tyrol and Veneto areas), a significant case of moderately innovative European macroregion.

This study undertakes explorative research based on a qualitative method. It adopts a place-based multi-stakeholder approach to emphasise the role of three categories of stakeholders (companies, educational system and regional governments) in facing digital changes. More precisely, interviews with 60 stakeholders from the Tyrol–Veneto macroregion were conducted and examined via both text mining analysis and content analysis. First, correspondence factor analysis was performed using IRaMuTeQ software to identify homogeneous subsets of concepts (pillars–i.e., macroareas of strategic actions). Second, two coding phases were implemented using NVivo software to detect strategic fields of action and specific strategic actions undertaken to address the challenges of digital transformation.

The results highlight that digital transformation is a pervasive challenge of regional innovative system that requires a multifaceted set of strategic actions falling into three main pillars. The first pillar, named “culture and skills”, includes three strategic fields of action as follows: digital education, talents and digital culture. The second pillar, named “infrastructures and technologies”, points out the need of information, interaction and artificial intelligence as key strategic fields of action. The third pillar, named “ecosystems”, highlights the importance of investing in medium- to long-term visions, partnerships and life quality. In brief, this study shows that standalone interventions are insufficient to tackle digital transformation from a systemic perspective. Moreover, this study outlines the potential contribution of each category of stakeholder to foster the digitalisation of the Tyrol–Veneto macroregion.

This study highlights the importance of developing digital culture and skills before investing in digital infrastructure and technology in a moderately innovative macroregion. Companies should alter their vision before reconfiguring their business models, invest in smart working and establish contacts with start-ups. In addition, this study recommends that public administration should mainly invest in digital education and partnerships, while, in terms of education and training organisations, it suggests providing digital skills to several cohorts of both students and workers. Policy implications call for the creation of new occasions of cooperation among stakeholders by fostering “table talks” as strategic and policy actions and by making more financial resources available to encourage the digital transformation processes.

The results of this study may be adapted to the characteristics of other regional innovative systems and used as a reference point in terms of the improvement of business, market and local development.

In March 2020, with only two working days’notice the French national education system went online due to the coronavirus pandemic. This study explores the relationship between the move to distance learning, the teaching practices employed and the socio-economic context of the learners in French schools during this period. We ask how far the changes in teaching practices during the coronavirus crisis were influenced by the social context of teaching. And to what extent this context influenced the focus of the pedagogical continuity those teachers set up.

A review of the literature situates the study within the field of mathematics teaching practices. The study was carried out through a multidimensional analysis using multiple correspondences of the responses of 368 French secondary school mathematics teachers to an online questionnaire.

We found that the unprepared move to distance learning impeded the employment of dialogic practices. The socio-economic situation of the teaching was identified as a determining factor in the teachers' different interpretations of the term pedagogical continuity. Whilst those working in more deprived areas tended towards practices which focused on maintaining pupils' links with school, consolidation of knowledge and providing social/affective support, those teaching a more privileged public favoured tools and practices which allowed them to focus on the disciplinary content of their teaching.

The challenge of maintaining dialogic activities – teacher education to combat inequalities.

A quantitative study of mathematics teachers providing pedagogical continuity through distance learning for the duration of the crisis.

The purpose of this research is to trace the evolution of the claims used for advertising food products in Italian magazines, by analysing the content and structure of the claims, the target audiences and the elements that have the greatest influence on the presence of the claims in food advertising.

On the basis of the research conducted by Pratt and Pratt (1995), revised and adapted to the Italian food context, the authors designed a matrix of 1,316 advertisements, which were selected based on the analysis of 67,340 advertisements and using the reference to the food sector as a discriminator. The advertisements were extrapolated from a sample of six Italian magazines, so as to determine the extent to which the various demographic groups in Italy are exposed to print advertising for food, beverages and food supplements. The authors examined the frequency of the relevant advertising forms over a period of four years, from January 2014 to December 2017.

The results revealed the main types of claims used in the four-year period, as well as the statistically significant differences between the different magazine panels, as concerns the frequency and the types of messages. Moreover, a strong relationship between the number of advertisements in the magazines and the time of the year was also ascertained, as well as significant gender variations.

This study introduces the trends and dynamics of the Italian printed advertising for food to the relevant scientific literature. The results yielded by this research have added further implications and contributions to the existing studies, as concerns claim diffusion based on type, gender and seasonality, and the authors also provide important insights to various socio-economical stakeholders.

The aim of this study is to examine the existing literature on service robots in order to identify prominent themes, assess the present state of service robotics research and highlight the contributions of seminal publications in the business, management and hospitality domain.

This study analysed 332 Scopus papers from 1985 to 2022 using bibliometric techniques like citation and co-citation analysis.

The study findings highlighted that there has been a consistent rise in publications related to service robots. The paper identifies three significant themes in the service robot literature: adoption of service robots in the context of customer service, anthropomorphism and integration of artificial intelligence in robotic service. Furthermore, this study highlights prominent authors, journals, institutions and countries associated with research on service robots and discusses the future research opportunities in this domain.

This study contributes to the service robots’ literature in the hospitality context by compilation of various reference materials using a comprehensive bibliometric analysis. Previous studies do not point out crucial themes in this area, nor do they provide an overview of prominent journals, institutions, authors and trends in this field. Therefore, this study attempts to fill the lacunae.

There is a strong consensus among scholars that the international competitiveness of companies strongly depends on the support of institutions, which reduces uncertainty in transactions by giving form to economic interactions, while less attention was paid to the role of international standards within this context. This study intends to propose its contribution by deepening the role of process certifications in the competitiveness and internationalization strategies of companies, with specific reference to the wood-furniture sector.

Data were collected using a questionnaire survey distributed via computer-assisted web interviewing (CAWI) methodology and sent to a sample of 2,845 Italian companies which operate in the wood-furniture industry, using simple random sampling. Thanks to the survey administration, 228 companies participated to the survey.

The study shows that it is companies operating in international markets that define this tool as relevant; this underlines how certification is seen as a kind of business card for entering international markets. In this context, the role of business leadership emerges as fundamental in the practical definition of the objectives to be set by adopting a quality management systems and in the subsequent commitment to obtain them.

Up to now, the literature has taken these elements into analysis mainly considering the consumers' perspective. In sectors with a higher content of innovation, technology and design, such as the wood-furniture sector, the literature appears to be poor in terms of contributions.

The purpose of this study is to examine the role of artificial intelligence (AI) in transforming the healthcare sector, with a focus on how AI contributes to entrepreneurship and value creation. This study also aims to explore the potential of combining AI with other technologies, such as cloud computing, blockchain, IoMT, additive manufacturing and 5G, in the healthcare industry.

Exploratory qualitative methodology was chosen to analyze 22 case studies from the USA, EU, Asia and South America. The data source was public and specialized podcast platforms.

The findings show that combining technologies can create a competitive advantage for technology entrepreneurs and bring about transitions from simple consumer devices to actionable healthcare applications. The results of this research identified three main entrepreneurship areas: 1. Analytics, including staff reduction, patient prediction and decision support; 2. Security, including protection against cyberattacks and detection of atypical cases; 3. Performance optimization, which, in addition to reducing the time and costs of medical procedures, includes staff training, reducing capital costs and working with new markets.

This study demonstrates how AI can be used with other technologies to cocreate value in the healthcare industry. This study provides a conceptual framework, “AI facilitators – AI achievers,” based on the findings and offer several theoretical contributions to academic literature in technology entrepreneurship and technology management and industry recommendations for practical implication.