Introduction: This article addresses the application of sentiment analysis to fiction series scripts to design content tailored to audience sensibilities, thereby improving content quality and production sustainability. The hypothesis is that emotional gratification optimizes audience engagement through the proper development of plots and characters. Methodology: A case study of the Spanish thriller Ana Tramel. El juego is conducted, triangulating three analyses: the pilot script using R, messages on Twitter/X during its premiere on television, and a questionnaire administered to an audience sample after a private screening of the pilot episode. Results: The results reveal that the script's emotional design is effectively transmitted (the main emotions align: trust, sadness, and fear), but the audience unconsciously reinterprets it, prioritizing fear. The reaction on social media is more polarized and negative, while the conscious analysis highlights surprise and anticipation as keys to engagement and validates the effectiveness of complex characters who generate positive feelings through trust and empathic sadness. Discussion: The comparison between the intention of the writing and production teams, the unconscious audience reaction on social media, and the conscious assessment by the public demonstrates the suitability of these studies as complementary tools in creative processes to align narrative design with the audience's emotional reception. Conclusions: It is concluded that this methodological triangulation is suitable for understanding the viewer's experience and that the emotional design of characters and plots is a fundamental element for achieving audience engagement, offering guidelines to optimize the efficiency and sustainability of audiovisual productions.
This study examines how plastics manufacturing firms can be classified according to their level of implementation of circular economy (CE) and industrial symbiosis (IS) practices and how such adoption influences sustainability performance. Using data from plastics manufacturing firms, we integrate cluster analysis with partial least squares structural equation modeling to capture firm-level heterogeneity and examine practice-performance relationships. The analysis reveals three key archetypes: reactive and isolated, emerging planners and network explorers, and executors and network builders. Results show that higher adoption of CE and IS practices is positively related to all performance dimensions. Effects are strongest on environmental and social outcomes, whereas economic gains remain significant but comparatively lower, suggesting a reliance on longer-term systemic enablers. By linking firm heterogeneity with sustainability outcomes, this study advances understanding of circular transition pathways in the plastics sector and provides actionable guidance for managers and policymakers in line with the European Union's Circular Economy Action Plan.
Water purification and treatment methods are becoming increasingly complex due to the use of new additives, solvents, pesticides, dyes, and other emerging pollutants in industry, agriculture, and households. Consequently, the search for new water treatment techniques and materials that can help reduce this environmental impact has become a major focus in the field of green chemistry. In this work, the photocatalytic degradation capacity of composites containing TiO2 nanoparticles (TNPs) for the removal of organic pollutants in water was studied. The TNPs were immobilized in bio-based hydrogel microparticles, which were prepared using microfluidic techniques. The composition of the dispersed phase was optimized with a lab-on-a-chip device, resulting in composite microparticles with a narrow size distribution. UV-visible spectroscopy results indicated that increasing the concentration of TNPs in the hydrogel microparticles enhanced the photodegradation performance of the new composite. Remarkably, it was able to efficiently degrade nearly 90% of reference dyes after four adsorption-desorption cycles.
We examine how the prospect of research and development (R&D) disclosure affects a firm's institutional investor base. Difference-in-differences (DiD) regressions around the enactment of the American Inventors Protection Act (AIPA), which mandated the public disclosure of patent applications within 18 months of filing, show that short-term institutional investors increase their holdings before public information is released, whereas long-term investors do not adjust their positions. This anticipatory shift is consistent with theoretical predictions that expected disclosure strengthens short-horizon investors' incentives to acquire and trade on private information. We further document that stock prices reflect more firm-specific information leading up to disclosure and that improved liquidity at disclosure enables short-term investors to partially unwind their positions. Our paper offers novel evidence on how increases in the expected likelihood of disclosure shape investor behavior and the composition of firms' investor bases.
PurposeThis study aims to provide an empirically grounded, process-oriented characterization of how dialogic accounting (DA) is enacted over time. Based on a longitudinal multiple case study analysis, it examines the recurring phases and micro-processes through which different organizations operationalize DA for stakeholder engagement, while explicitly recognizing contextual variation.Design/methodology/approachThe paper adopts a qualitative research approach, using an abductive, longitudinal multiple case study methodology across 30 projects to illustrate how DA is enacted over time. Data were collected over a nine-year period, from mid-2015 to the first half of 2024, including different sources of information, such as interviews, surveys, direct observations and document analysis. This comprehensive data collection strategy ensures robustness and validity through triangulation.FindingsThe analysis reveals that the DA process is characterized by five distinct phases: stakeholder mapping, dialogic stakeholder engagement, new framework development, DA framework implementation and accessible communication. Each phase encompasses specific micro-processes, such as stakeholder identification and first engagement, recognition of conflictual views and definition of dialogic methods. The study highlights how these phases and their micro-processes interconnect to promote a collaborative and inclusive accounting environment.Originality/valueThe paper offers a holistic longitudinal multiple case study analysis of DA as a process. While prior literature has provided valuable insights into specific dialogic tools, arenas or phases, this study examines how these elements connect across time into five recurring phases and associated micro-processes. By integrating different phases into a unique process, the study provides valuable insights for academics and practitioners on implementing the DA framework, fostering inclusivity, transparency and mutual learning among stakeholders.
