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This paper aims to propose a new strategic foresight process that combines aspects from science fiction, speculative design and tools linked to organizational processes, first, to generate potential new services and products and, second, to reduce problems associated with the construction of low-impact and irrelevant scenarios for decision-making processes. As a new proposal, it invites reflection and debate.

After reviewing the literature on the key concepts that represent the essence of strategic foresight, as well as the traditional processes to reflect on the future, a proposal for a new hybrid, integrative foresight process that allows moving from imagination to the materialization of scenarios will be presented.

The new hybrid process makes evident the need to articulate strategic foresight with other areas of knowledge and management tools to build scenarios with greater impact on decision-making and greater added value from strategic foresight to organizational processes.

The proposed integrative model articulates tools that already exist, but the originality of the proposal lies in that there are no models that integrate science fiction, speculative design, and other organizational tools in a single process.

Purpose: This chapter explores the current hybridization between true crime and nonfiction investigative documentaries on Video on Demand (VOD) platforms. It would seem necessary to distinguish true crime productions from long-form journalistic documentaries in order to avoid confusion between different products that do not pursue the same ends, such as audiovisual products with highly emotive and engaging components versus a journalistic approach to the truth about what happened. Methodology/approach: The analysis is based on the specific theory of true crime developed by Punnett, who provides genuine narrative codes (Justice, Subversive, Geographic, Forensic, Vocative, and Folkloric) for true crime to distinguish it from the formal conventions and social objectives of journalistic documentaries. The case study (El crimen de Alcàsser) was selected because of its potential to drive a detailed and in-depth study on one of the most traumatic crimes in the country’s recent history: the kidnapping, rape, torture, and killing of three teenagers in 1992. Findings: Several scholars have identified journalistic elements in true crime productions in the digital context, adopted in an attempt to distance them from the true crime tradition of appealing to primitive instincts. Although it has been perceived also as a renewed formula for journalism to reach a wide audience and mainstream success, it banishes journalism from its origin and goals: to guarantee the citizenship’s right to be truly informed about crime. In this way, journalistic documentaries inspired by real crimes may play a crucial role in a democratic society, while true crime only exploits the empathy of viewers and places them in the active participation of determining the suspect-protagonist’s guilt as a mode of “clickable” entertainment in the digital culture. Research limitations: This is the first in a series of studies within a broader research project on true crime documentaries released on the VOD platforms in Spain. The findings are, in this case, preliminary. The analysis needs additional testing before its utility can be reasonably determined and a theory about true crime made in Spain could be developed. Originality: First, there is no specific research in the field of true crime in Spain, although crime stories already enjoyed a prominent place in Spain’s conventional TV programming. Second, the Punnett analysis model introduces an interesting way to complement existing theoretical references about the connections between true crime and journalism.

This study aims to present a mathematical method based on Poisson’s equation to calculate the voltage and volume charge density formed in the substrate under the floating gate area of a multiple-input floating-gate metal-oxide semiconductor metal-oxide semiconductor (MOS) transistor.

Based on this method, the authors calculate electric fields and electric potentials from the charges generated when voltages are applied to the control gates (CG). This technique allows us to consider cases when the floating gate has any trapped charge generated during the manufacturing process. Moreover, the authors introduce a mathematical function to describe the potential behavior through the substrate. From the resultant electric field, the authors compute the volume charge density at different depths.

The authors generate some three-dimensional graphics to show the volume charge density behavior, which allows us to predict regions in which the volume charge density tends to increase. This will be determined by the voltages on terminals, which reveal the relationship between CG and volume charge density and will allow us to analyze some superior-order phenomena.

The procedure presented here and based on coordinates has not been reported before, and it is an aid to generate a model of the device and to build simulation tools in an analog design environment.

This paper aims to propose future public policy guidelines (FPPG) in sustainable regional development for Guaviare (Colombia) – a territory affected by environmental and social distress – for the year 2035.

Following collective action theory and sustainable regional development literature, a foresight exercise was conducted using site focus groups and semi-structured interviews with local participants to identify future strategic change drivers and the most relevant social actors for the attainment of economic, social and environmental development in the Guaviare through FPPG.

The findings suggest that the development of public policies regarding building consensus around Guaviare’s economic, environmental and social issues, reducing conflict between the region’s cultural and environmental ways, decreasing isolation from the centers of decision-making, increasing the transparency of public institutions and reducing insecurity to attract investments are all crucial to attaining sustainable regional development.

Interdisciplinarity is implicit in the local perspectives on the problem that impedes sustainable development in San José del Guaviare. The paper’s main contribution is the long-term vision that breaks away from the traditional short-termism in public policy guidelines in a Latin American context. Methodologically, the significant contribution is the convergent alignment of specific foresight methods toward public policy guidelines’ analysis and design processes.

Short-term rentals (STRs) (like Airbnb) are reshaping social behaviour, notably in gastronomy, altering how people dine while travelling. This study delves into revenue management, examining the impact of seasonality and dining options near guests’ Airbnb. Machine Learning analysis of Airbnb data suggests owners enhance revenue strategies by adjusting prices seasonally, taking nearby food amenities into account.

This study analysed 220 Airbnb establishments from Madrid, Spain, using consistent monthly price data from Seetransparent and environment variables from MapInfo GIS. The Machine Learning algorithm calculated average prices, determined seasonal prices, applied factor analysis to categorise months and used cluster analysis to identify tourism-dwelling typologies with similar seasonal behaviour, considering nearby supermarkets/restaurants by factors such as proximity and availability of food options.

The findings reveal seasonal variations in three groups, using Machine Learning to improve revenue management: Group 1 has strong autumn-winter patterns and fewer restaurants; Group 2 shows higher spring seasonality, likely catering to tourists, and has more restaurants, while Group 3 has year-round stability, fewer supermarkets and active shops, potentially affecting local restaurant dynamics. Food establishments in these groups may need to adapt their strategies accordingly to capitalise on these seasonal trends.

Current literature lacks information on how seasonality, rental housing and proximity to amenities are interconnected. The originality of this study is to fill this gap by enhancing the STR price predictive model through a Machine Learning study. By examining seasonal trends, rental housing dynamics, and the proximity of supermarkets and restaurants to STR properties, the research enhances our understanding and predictions of STR price fluctuations, particularly in relation to the availability and demand for food options.

Cognitive computing is part of AI and cognitive applications consists of cognitive services, which are building blocks of the cognitive systems. These applications mimic the human brain functions, for example, recognize the speaker, sense the tone of the text. On this paper, we present the similarities of these with human cognitive functions. We establish a framework which gathers cognitive functions into nine intentional processes from the substructures of the human brain. The framework, underpins human cognitive functions, and categorizes cognitive computing functions into the functional hierarchy, through which we present the functional similarities between cognitive service and human cognitive functions to illustrate what kind of functions are cognitive in the computing. The results from the comparison of the functional hierarchy of cognitive functions are consistent with cognitive computing literature. Thus, the functional hierarchy allows us to find the type of cognition and reach the comparability between the applications.