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The purpose of this paper is to examine US public relations professionals' perceptions of the benefits and challenges associated with the concept of moral entrepreneurship, defined as the purposeful process of changing or creating new institutionalized ethical norms. This study argues that the concept of moral entrepreneurship provides organizations with a potentially valuable framework to actively recognize societal pressures and problems and act accordingly to better the environment in which the organization resides and operates.

This exploratory study uses purposive in-depth interviews with 25 diverse public relations professionals, who represented communication firms, in-house public relations departments, higher education, nonprofits and government.

Respondents assigned a high value to the concept of moral entrepreneurship: In addition to its being viewed as the right thing to do, they recognized its practice as a way to help organizations recruit and retain employee talent and improve stakeholder trust. However, based on the interviews, organizational leadership is the primary initiator of ethical changes; therefore, without a seat at the management table, practitioners lack the influence to initiate such new organizational directions and take on the role of moral entrepreneurs only when directed to do so by their superiors. Barriers to adopting a moral entrepreneurship approach included a limited budget and shortage of staff, employees' resistance to change, fear of failure, poor leadership and a politically polarized workplace.

Practice implications include considerations for furthering moral entrepreneurship in organizations.

This study is the first to explore the applicability of the concept of moral entrepreneurship in public relations. The paper underscores the need for further discussion around novel approaches to ethics in public relations that go beyond simple compliance with professional codes and industry standards and that help organizations lead societal change.

This work presents a review of the state of the art of the present century on academic and scientific production in Latin America related to the concept of Social Innovation. The analysis is based on articles published in indexed journals, which makes it possible to understand the existing asymmetry between the conceptual and theoretical veins, of the case studies, as well as of good social innovation practices that have been published in recent years. These debates have in some cases transcended public policies, as well as business and social realities where social innovation is a mechanism and strategy for personal, social, and territorial development. Finally, a Latin American community of researchers and academics around social innovation must be consolidated, who choose to continue building theoretical-empirical bodies following the Latin American reality.

The purpose of this study is to provide a unique competitive advantage to businesses in providing a wide range of products to prospective customers. To the best of the author’s knowledge, there is no study to discuss the impact of customer-centric retailing on total supply chain profit under price competition between organized and unorganized retailers.

This paper considers a supply chain comprising of organized and unorganized retailers and a single manufacturer. This paper proposes three mathematical models considering a customer-centric approach in a competitive environment. Stackelberg game is used to examine how members of the chain interact, and Nash equilibrium was used to find optimal strategies for players under different customer-centric approaches.

The results show that the total supply chain profit is higher when both organized and unorganized retailers use a customer-centric approach independently instead of collaborating process. The result, in addition, establishes that when the dissatisfying cost exceeds a certain threshold (1.5), the total profit is higher for the organized customer-centric effort model compared to the other two models.

The main contribution of the study is to examine the effect of customer-centric retailing, considering dissatisfying costs on supply chains profit and individual decision-making under price competition between organized retailers and unorganized retailers. The authors developed different mathematical models in the different customer-centric approach.

The purpose of this paper is to explore the effect of the use of food products from family farms on school menus of the school feeding program (SFP) of a municipality in Southern Brazil.

A qualitative content analysis was carried out of 16 key informant interviews involved in the SFP, or in agriculture production related to SFP planning, development and supply. The resulting categories were used to construct a quantitative analysis protocol for school menus for three years both prior to and after (n=130 days) procurement of the SFP with food from family farms. The studied variables were the presence (yes/no) of vegetables, fruits, legumes and concentrated foods. Monthly frequency and contrast of proportions were calculated for each variable during the years studied.

The interviewees recognized that the proximity between food production and the school increased the variety of fresh, natural and organic foods in school menus. The direct supply of the SFP with foods from local family farms resulted in a significant increase (p<0.05) in the frequency of vegetables, fruits and legumes in school menus as well as a progressive reduction in concentrated foods.

The design of food and agriculture policy increases the availability of healthy foods in school menus and has beneficial results for promoting healthy meals in schools.

The main objective of our study is to shed light on how perceived enjoyment influences the intricate relationship between value cocreation and consumer satisfaction, with a specific focus on the realms of tourist services.

To achieve the objective outlined in this research, an information survey was carried out on 400 consumers of tourist services who have participated in virtual cocreation processes through digital platforms. As a data analysis technique, the dynamic structural equation modeling (DSEM) analyzes the causal relationships between the elements under study.

Our extensive analysis draws upon the data collected through a survey spanning from 2018 to 2023, encompassing 400 participants who actively engaged in value cocreation processes in both physical and virtual settings. Our investigation considers two competing models to elucidate the role of perceived enjoyment. Our findings, established through DSEM illuminates that perceived enjoyment predominantly functions as a mediator, exerting a more pronounced influence on the connection between value cocreation and consumer satisfaction. Contrary to a moderating role, perceived enjoyment emerges as a significant mediator in our study.

The most significant addition is recognizing virtual value cocreation behaviors in tourist sector activities over time, primarily because it indicates the likelihood of negative repercussions of its usage. Furthermore, it must be capable of designing surroundings according to the characteristics of customers in terms of immersion and technology usage, preventing a rise in stress situations that might result in more negative consequences than planned. Another important insight is that virtual value cocreation initiatives have detrimental long-term implications, particularly in tourism.

This paper treats the problem of scheduling seafaring staff inspired from a real case study, where the shipowner operates several vessel categories that require specific skills aiming to achieve a fair workload distribution and minimizing incompatibility between workers while meeting legal constraints, including requirements for days off and rest intervals between shifts.

A mixed integer linear problem (MILP) formulation has been built to address the seafaring staff scheduling problem by integrating multiple objectives and constraints. The model’s performance is tested through experimental results across varying parameter adjustments.

Our model was tested and validated using the XPRESS solver, and the results demonstrate its effectiveness in meeting the specified objectives and constraints. Notably, findings reveal that increasing the number of qualified workers leads to improved gains, until a certain threshold. Additionally, expanding the size of the workforce can result in longer execution times, specifically when incompatibility increases.

The originality of this study lies in proposing a generic novel model that deals with maritime staff scheduling, incorporating worker incompatibilities and workload fairness as key objectives.

The study explores the connection between foresight and Artificial Intelligence (AI) methods in a community within an environment of social instability in Colombia. It aims to contribute to research on aligning these methods for future-shaping, with the goal of enhancing shared governance, peer learning and collective learning among traditional decision-makers and local communities in emerging countries. The study seeks to foster a community of social actors who are likely to engage constructively in strategic dialogues. To enhancing shared governance and learning a hybrid model is synthesized, combining foresight and computational intelligence.

The case study explores the integration of computational intelligence and foresight through Gaston Bachelard's (Bachelard, 1936) phenomenology concept of ante-perception. The mathematical representation of the cone of scenarios provides a structured way to explore multiple future pathways, allowing communities to visualize and compare different trajectories and make informed decisions amid uncertainty. The model facilitates critical reflections on present assumptions, deepening insights into future scenarios. Ante-perception challenges traditional approaches to foresight by encouraging a break from established experiences, allowing for novel insights into possible futures. When enriched by computational intelligence, this reflective process is further strengthened by quantitative approach scenario modeling.

This research develops and tests a proposal that includes the logic and methods for constructing a mathematical representation of the cone of scenarios. This process, which is interactive and deliberative, is driven by anticipation and combines qualitative and quantitative approaches within a context of high uncertainty. By combining the critical reflection facilitated by ante-perception with the predictive power of computational intelligence, the model allows communities to transcend established thought patterns and explore innovative future possibilities. This integrative approach helps them envision and work toward social self-transformation.

The article aims to identify the creation of scenarios in contexts of high uncertainty, to respond to the needs of communities in emerging countries to manage change.

This article explores a novel approach to using foresight for address collective intelligence by developing a shared future vision in high-uncertainty contexts within local communities in emerging countries. The application of the hybrid model demonstrates that foresight is a key innovative social tool for developing long-term strategic reflection and planning for territories.

In developing long-term reflective processes, explaining phenomena, mechanisms and correlations requires the use of value judgments. This set of value judgments requires a representation that facilitates their treatment, helps to account for their behavior during the inference process to form a shared future vision. Consequently, ensuring the recognition of the opinions of local communities through participatory discussion spaces and their subsequent refinement, from a technical perspective, aims to illustrate the development of this social construction process. While similarities exist, differences add value through a transfer process, often subconscious. This process stimulates collective learning and builds capacities as knowledge is developed through inquiry, evaluation, interpretation and generalization.

This research provides a unique hybrid model that fosters collective learning and engagement by integrating local community perspectives with advanced computational intelligence methods. By facilitating both reflective and quantitative approach future-shaping, it offers a practical framework for addressing uncertainty while empowering communities to shape their own futures. It underscores the importance of recognizing local community views through bottom-up participatory discussions, thereby widening the stakeholder community to active engagement in addressing broader societal issues. The case study focuses on community collaboration in Puerto Gaitán, a Colombian municipality.