Abstract
ydata-profiling is an open-source Python package for advanced exploratory data analysis that enables users to generate data profiling reports in a simple, fast, and efficient manner, fostering a standardized and visual understanding of the data. Beyond traditional descriptive properties and statistics, ydata-profiling follows a Data-Centric AI approach to exploratory analysis, as it focuses on the automatic detection and highlighting of complex data characteristics often associated with potential data quality issues, such as high ratios of missing or imbalanced data, infinite, unique, or constant values, skewness, high correlation, high cardinality, non-stationarity, seasonality, duplicate records, and other inconsistencies. The source code, documentation, and examples are available in the GitHub repository: https://github.com/ydataai/ydata-profiling.

Abstract
PurposeThis study analyzes the impact of packaging-free practices in food retail stores, particularly supermarkets, on customer loyalty.Design/methodology/approachBased on the literature on the impacts of sustainable practices and corporate social responsibility (CSR) policies on consumer behavior, this study defined a set of seven hypotheses that were tested using data collected from 447 consumers that regularly buy food products at supermarkets. The data were subjected to structural equation modeling using SmartPLS.FindingsThis study confirmed that packaging-free practices positively influence brand image, brand trust, satisfaction and customer loyalty. The expected positive impacts of brand image and satisfaction on customer loyalty were also confirmed. However, the expected impact of brand trust on customer loyalty was not confirmed.Practical implicationsThis article demonstrates how a competitive sector can reap benefits from implementing sustainable practices in the operational domain, particularly by offering packaging-free products at the point of purchase. Thus, as recommended, general retail stores (e.g. supermarkets) gradually increase the stores' offering of packaging-free food products, as this practice has been shown to have positive impacts not only on brand image, but also on customer satisfaction and loyalty.Originality/valueThis study extends the literature on the effects of sustainable practices on customer loyalty, by focusing on a specific practice. Furthermore, this study contributes to the advancement of research on packaging-free practices in retail by developing a research framework and providing evidence on the direct and indirect effects of this specific practice on customer loyalty.

Abstract
Being a part of society, employees' behavior can't be ignored, and it must be encouraged to sustain nature for the upcoming generation. Following the resource-based view theory, this study aims to identify the factors influencing employees toward sustainable behavior. To meet the objectives, cross-sectional data were collected from employees of manufacturing companies, and structural equation modeling was used for the analysis. The study results show a positive effect of participative decision-making and employee motivation on employees' eco-friendly innovation capabilities and behavior. Additionally, this research reveals that employee motivation partially mediates the link between participative decision-making, eco-friendly innovation capabilities, and behavior. Furthermore, this research evidenced a positive moderation of green culture on the relationship between participative decision-making and eco-friendly innovation capabilities, evidencing that the relationship is stronger when the culture is high. This research contributes to the existing literature by providing a deeper understanding of the factors influencing employees' eco-friendly innovation capabilities and behavior. It highlights the significant roles of green culture as a moderator and employee motivation as a mediator, offering novel perspectives to both theory and practice.

Abstract
Blockchain technology has been the focus of much attention and discussion recently. Its unique characteristics, such as immutability, transparency, and decentralization, create a great potential solution for many industries. Especially the automotive sector, which is known for its complex supply chains, large amounts of data, and wide-reaching infrastructure, can profit in many aspects by incorporating blockchain technology. To illustrate the advantages and potential of blockchain in supply chain management, this chapter includes a case study of one of the leading corporations in the automotive industry that has been increasingly committed to adopting this technology. The analysis uses a set of strategic analysis tools frequently used by managers for strategic planning to highlight the benefits and challenges of this approach. Besides contributing to the literature on blockchain and supply chain management, this chapter offers valuable insights for managers, namely in the automotive sector, who are considering adopting blockchain technology in their operations and processes. © 2023, IGI Global. All rights reserved.

Abstract
Th chapter presents an empirical study on a Brazilian cyber-activism movement on Instagram associated with the hashtag #CorpoLivre (#FreeBody in Portuguese). This movement, which was established in 2018, has published more than 3,000 posts and has over 400,000 followers, disseminates anti-fatphobia and real body discourses, and promotes a positive relationship between women and their bodies beyond traditional beauty standards. The study analyses the posts made by the feminist movement on Instagram in December 2022, with a sample size of 101 posts. The study adopted the framework developed by Khurana and Knight for the analysis, which enables the classification of the sample posts in terms of message appeal, orientation, engagement, popularity, and image characteristics. This framework was used to examine the relationship between content characteristics and engagement. Additionally, the study includes a content analysis of the posts' comments, specifically evaluating the valence (positive, negative, or neutral) to assess the effectiveness of the characteristics of the posts. © 2023, IGI Global. All rights reserved.

Abstract
Virtual influencers are rapidly gaining significance in the digital marketing realm. This study offers an overview of the fragmented landscape of virtual influencer research, addressing key contributions, themes, methodologies, and future directions. Employing a bibliometric analysis approach, the research examined 52 articles from the Scopus database, shedding light on the evolving field. Findings underscore a dispersed literature landscape that began in 2020, spanning 44 distinct outlets and involving 138 authors. The prevailing research primarily centers on general social media users' perceptions of virtual influencers, leaving substantial gaps in the study of actual followers. Many pieces of research exhibit a lack of methodological rigor and theoretical framework. As the discipline progresses, there is an emergent need for enhanced methodologies that focus on genuine followers and encompass broader managerial objectives. The prospects for subsequent research in this domain are vast and promising. © 2024, IGI Global. All rights reserved.