Future Studies Research Journal: Trends and Strategies https://www.futurejournal.org/FSRJ <p><img 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[email protected] (Renata Giovinazzo Spers) [email protected] (Altieres de Oliveira Silva) Mon, 01 Jan 2024 00:00:00 -0300 OJS 3.2.1.4 http://blogs.law.harvard.edu/tech/rss 60 Critical factors for the adoption of social impact bonds in addressing hiv https://www.futurejournal.org/FSRJ/article/view/796 <p><strong>Objective:</strong> To identify the critical positive and negative factors for the adoption of the Social Impact Contract (CIS) model in actions to combat HIV in the State of Amazonas, Brazil.</p> <p><strong>Method:</strong> The research is qualitative, exploratory and descriptive. 17 semi-structured interviews were carried out with representatives of actors usually involved in a CIS: government, investors, intermediaries, Civil Society Organizations and control bodies.</p> <p><strong>Main results:</strong> The0020critical positive factors for the adoption of CIS are: testing innovative solutions to social problems with lower risk for the government; customization of solutions for specific audiences; and problem solving together with the public sector. Negative factors included lack of knowledge of the model, lack of qualifications of public managers to work with new contracting models, distrust and conflict of interests between actors, and the uncertainty of return on investment.</p> <p><strong>Relevance/originality:</strong> In Brazil, there is a lack of sources of financing for public services in the health sector and, despite the history of relations between the public and private sectors in the country, there is no Social Impact Contract (CIS) in execution.</p> <p><strong>Theoretical/methodological contributions:</strong> The study describes the perception of interest groups about CIS; demonstrates the critical positive and negative factors for the adoption of this contracting model by the health sector, especially for the treatment of HIV/AIDS.</p> Carlos Henrique Soares Carvalho, Graziella Maria Comini, Ana Luiza Terra Costa Mathias Copyright (c) 2024 Carlos Henrique Soares Carvalho, Graziella Maria Comini, Ana Luiza Terra Costa Mathias https://creativecommons.org/licenses/by-nc/4.0 https://www.futurejournal.org/FSRJ/article/view/796 Thu, 29 Feb 2024 00:00:00 -0300 Blockchain technology impact perception in food sector companies: a multicriteria analysis https://www.futurejournal.org/FSRJ/article/view/763 <p><strong>Purpose:</strong> Analysis of food company managers’ perceptions of the need for a technological change and the managerial aspects considered most important.</p> <p><strong>Originality/value:</strong> The study highlighted the need to apply technology for food supply integration chain to improve internal and external processes and identified the aspects that contribute the most to business growth.</p> <p><strong>Methods:</strong> The research is exploratory with a quantitative approach. A structured questionnaire was used for data collection. To analyze possible decision making about implementing blockchain technology by supply chain managers, we adopted Analytic Hierarchy Process (AHP) – a multicriteria analysis method.</p> <p><strong>Results:</strong> It was observed that the best decision making would be an implementation of the blockchain (50.08%) or other technologies (34.94%) to achieve a better corporate performance. In addition, among the evaluated criteria, operational efficiency was considered the most important to managers, followed by technology, level of logistics service, quality, sustainability, and cost.</p> <p><strong>Conclusion:</strong> It was found that regardless of a company’s size, there was a consensus among managers about the need for technological changes in their companies to keep up with market trends.</p> Sivanilza Teixeira Machado, Roberto Giro Moori Copyright (c) 2024 Sivanilza Teixeira Machado, Roberto Giro Moori https://creativecommons.org/licenses/by-nc/4.0 https://www.futurejournal.org/FSRJ/article/view/763 Fri, 18 Aug 2023 00:00:00 -0300 Characteristics, research focuses and trends on leadership in project management: a bibliometric analysis https://www.futurejournal.org/FSRJ/article/view/768 <p><strong>Objective:</strong> The scientific literature highlights the fundamental role that leadership plays in project management. Bearing in mind the relevance of leadership in project management, this study aims to map the scientific production on the subject of leadership, within the scope of project management.</p> <p><strong>Method:</strong> The study was conducted through a bibliometric analysis of 789 articles obtained from the Web of Science database. presents a series of indicators and trends predominant in research on leadership in projects. The studies were analyzed with the aid of the Bibliometrix R-tool and VosViewer software, through bibliometric indicators.</p> <p><strong>Main Results:</strong> The study highlights a growing number of publications, especially focused on leadership competencies. The United States is the leading country in terms of production, and the International Journal of Project Management is the most widely used publication on this topic. The thematic analysis identified some thematic groupings, with emphasis on basic/traditional themes, such as innovation, change management and project team and; driving themes such as sustainability, teamwork and more recent ones, such as continuous improvement in projects.</p> <p><strong>Relevance/Originality:</strong> The survey presents an overview of research on leadership in project management, offering important insights into these two areas of knowledge: leadership and project management.</p> <p><strong>Theoretical Contributions:</strong> This document offers managers and those interested in project leadership a useful basis for the development of leadership programs and future research on the subject, within the scope of project leadership.</p> Ítalo Paula Casemiro, Maxwel De Azevedo-Ferreira Copyright (c) 2023 Ítalo Paula Casemiro, Maxwel De Azevedo-Ferreira https://creativecommons.org/licenses/by-nc/4.0 https://www.futurejournal.org/FSRJ/article/view/768 Fri, 11 Aug 2023 00:00:00 -0300 Economic feasibility of activated carbon with brazilian chestnut hedgehog (bertholletia excelsa) https://www.futurejournal.org/FSRJ/article/view/765 <p><strong>Introduction: </strong>Activated carbon is a porous substance of organic material, usually woody and fibrous material. The raw materials used to obtain charcoal are almost exclusively of vegetable origin, possessing high carbon power. The study consists of considering the use of Brazil nut hedgehogs as a raw material in the production of activated carbon.</p> <p><strong>Originality/Relevance:</strong> In this study, the results of the analysis of the economic viability of the use of activated carbon produced with residues of Brazil nuts from the Amazon region, aims to generate economic benefits and reduce possible environmental damage. </p> <p><strong>Methodology:</strong> The study was developed from a simulation of the implementation of a Manufacturing Unit at Aruanã Farm, a case study site, near of 215 km from the city of Manaus-AM, based on its data and internet sources. </p> <p><strong>Results:</strong> The financial indexes, resulting from the simulations of three scenarios of activated carbon production with residues obtained from the hedgehog, indicate that it would be unfeasible to implement it to use only the waste from hedgehogs from the current productive chestnut trees on the Farm, but that would be feasible from 540,890 productive chestnut trees on the Farm and from other sources.</p> <p><strong>Conclusion: </strong>It is economically feasible to implement a Manufacturing Unit on the Farm with a minimum possible size and to keep it producing the whole year it would be necessary to seek the supply of hedgehogs from other sources and in quantity well above the production capacity of theFarm.</p> Adenes Teixeira Alves, Ires Paula de Andrade Miranda, Dimas José Lasmar, André Costa Copyright (c) 2023 Adenes Teixeira Alves, Ires Paula de Andrade Miranda, Dimas José Lasmar, André Costa https://creativecommons.org/licenses/by-nc/4.0 https://www.futurejournal.org/FSRJ/article/view/765 Thu, 17 Aug 2023 00:00:00 -0300 Ethical consumption values and ecological clothing: a study in brazil https://www.futurejournal.org/FSRJ/article/view/775 <p><strong>Objective: </strong>The research aims to investigate the Brazilian consumer in their intention to purchase ecological clothing.</p> <p><strong>Method: </strong>To carry out the study, field research was carried out, of an applied nature, with an exploratory and descriptive quantitative, cross-sectional objective, with non-probabilistic sampling, and research had for. The model proposed and validated by Echeverría (2017) was used as a basis, consisting of 11 factors and 42 psychographic observable variables, in addition to demographic variables (gender, age, education, and family income).</p> <p><strong>Originality/Relevance:</strong> As the concern for sustainability becomes a universal phenomenon, the profile of the ecologically conscious consumer evolves. The ecological fashion movement gained strength and several companies began to realize the importance of sustainability and ethical conduct as indispensable factors in fashion. Brazil is the largest complete textile chain in the West, with more than 9.5 million jobs.</p> <p><strong>Results:</strong> The predominance of the sample was female, education, there was a balance between the number of respondents between undergraduate and secondary education, with an average age of respondents of 36.74 years. An interesting point of the study, which proved to be quite significant, was the positive influence of the attitude toward the purchase of ecological products on the ecological purchase intention. The increase in ecological awareness greatly interferes with consumer behavior. The theory of planned behavior can explain this phenomenon, as an individual's attitude, their beliefs concerning a certain aspect, can influence their consumption intention.</p> <p><strong>Theoretical/methodological contributions:</strong> The contribution of this study is to provide the profile of the Brazilian consumer in their intention to purchase ecological clothing. The positive influence of the attitude towards the purchase of ecological products remained evident. Increased awareness of consumer behavior. The great contribution of this study lies in the proposition of a theoretical framework, which enables an understanding of the structure of green consumer behavior.</p> <p><strong>Social contributions:</strong> Assuming that human behavior is goal-oriented, based on individual beliefs, the goals TCP applied to consumption proposes that the way people select, process information, and act about them depends on the relevance and strength of its own general goals.</p> Daiane Johann, Gabriela Almeida Marcon Nora, Eliana Andrea Severo Copyright (c) 2024 Daiane Johann, Gabriela Almeida Marcon Nora, Eliana Andrea Severo https://creativecommons.org/licenses/by-nc/4.0 https://www.futurejournal.org/FSRJ/article/view/775 Mon, 04 Sep 2023 00:00:00 -0300 Peer-to-peer platforms in the sharing economy: current status and future research agenda https://www.futurejournal.org/FSRJ/article/view/781 <p><strong>Purpose:</strong> To map the studies on Peer-to-Peer (P2P) platforms, presenting important considerations in a future research agenda.</p> <p><strong>Originality/Value:</strong> There is great interest in better understanding platforms based on interaction between people, as many are pointed out as ecological, democratic and at lower prices (Wirtz et al., 2019). However, there is a gap in the systematization of publications regarding the business model of P2P platforms in the broader context of the sharing economy, as the studies are fragmented.</p> <p><strong>Methods: </strong>Systematic Literature Network Analysis (SLNA) was adopted, which combines the Systematic Literature Review with Network Citation Analysis (Colicchia &amp; Strozzi, 2012). For the systematic review the research criteria were emphasized, and in the network analysis the software VOSviewer®.</p> <p><strong>Results:</strong> Through the built networks and their connections, an agenda was proposed with four future directions: i) effects of sharing by P2P platforms; ii) market structure of P2P platforms; iii) the P2P accommodation sector; and iv) emerging themes.</p> <p><strong>Conclusions:</strong> The research went beyond the description and deepened directing research themes. It was possible to contribute stimulating research and discussion in the theoretical and practical field, since, for Chen et al. (2020) digital platforms continue to flourish in the business world.</p> Lilian Carolina Viana, Christiano França da Cunha Copyright (c) 2024 Lilian Carolina Viana, Christiano França da Cunha https://creativecommons.org/licenses/by-nc/4.0 https://www.futurejournal.org/FSRJ/article/view/781 Mon, 04 Sep 2023 00:00:00 -0300