Search Results (64)

In recent decades, European countries have seen a substantial increase in home cultivation of cannabis. In France, the prevalence of cannabis use continues to increase despite its possession, sale, and cultivation being strictly illegal. The present study aimed to describe the profile and motivations of people in France who cultivate cannabis at home. We separately analyzed data from two convenience samples of people who use cannabis daily in France, based on two online cross-sectional surveys. In the first analysis (N = 3840), we used a multivariable logistic regression model to assess factors associated with home cultivation as the main source of cannabis supply. In the second analysis (N = 574), we described participants’ motivations for home cultivation and their cultivation patterns. In the two samples, 11% and 16% reported home cultivation as their main source of supply, respectively. Age, male gender, stable housing, living with a partner, consuming cannabis in herbal form, smoking joints with little or no tobacco, smoking cannabis from a bong or pipe, non-smoking modes of cannabis administration, and using cannabis exclusively for therapeutic reasons were all positively associated with home cultivation, while urban area of residence and at-risk alcohol use were negatively associated. The main reason reported for home cultivation was to manage quality. Few reported selling some of their crop, and most were self-sufficient. Finally, we interpret this practice as a personal response to cannabis prohibition and the unregulated market. Accordingly, possible harm reduction strategies are discussed. Full article

This paper examines the strategic decisions of fashion brands to develop and sell non-fungible tokens (NFTs) within the metaverse. We construct two operational models based on whether NFTs are adopted: the traditional fashion model without NFT (Scenario T) and the digital fashion model with NFT (Scenario D). By comparing the equilibrium outcomes of fashion brands in Scenarios T and D, we derive valuable insights into the implementation of digital strategies in the fashion industry. Our analysis reveals three key findings. First and foremost, the proportion of fashion customers to conventional customers, as well as the digital value and cost of NFTs, are direct factors influencing the adoption of digital strategies by fashion brands. Secondly, opportunistic pricing by manufacturers is an indirect factor influencing fashion brands’ strategic choices, and a fixed production price contract can effectively avoid this case. Finally, we find that personalized pricing and a free NFT strategy are effective tools to boost fashion brands’ digital revenues. Full article

Insider threats pose significant challenges to organizations, seriously endangering information security and privacy protection. These threats arise when employees with legitimate access to systems and databases misuse their privileges. Such individuals may alter, delete, or insert data into datasets, sell customer or client email addresses, leak strategic company plans, or transfer industrial and intellectual property information. These actions can severely damage a company’s reputation, result in revenue losses and loss of competitive advantage, and, in extreme cases, lead to bankruptcy. This study presents a novel solution that examines how organizational factors such as job satisfaction and security, organizational support, attachment, commitment, involvement in information security, and organizational norms influence employees’ attitudes and intentions, thereby mitigating insider threats. A key strength of this research is its integration of two foundational theories: the Social Bond Theory (SBT) and the Theory of Planned Behavior (TPB). The results reveal that job satisfaction and security, affective and normative commitment, information security training, and personal norms all contribute to reducing insider threats. Furthermore, the findings indicate that employees’ attitudes, perceived behavioral control, and subjective norms significantly influence their intentions to mitigate insider threats. However, organizational support and continuance commitment were not found to have a significant impact. Full article

Objectives: To determine the willingness of Jamaican pharmacists to stock and dispense smoking cessation aids and determine barriers to selling products. Design: A descriptive study that utilized pharmacist-completed surveys. The participants received a sectionalized survey and a structured questionnaire tool. Data collection took place over six weeks. Setting: Pharmacists practicing in pharmacies registered by the Pharmacy Council of Jamaica (PCJ) Participants: A total of fifty-seven registered community pharmacists. Results: Most pharmacies (87.7%) do not stock smoking cessation aids. The most identifiable products were nicotine patches/nicotine gum. Pharmacists’ barriers to selling were cost (42%), lack of knowledge of the process of obtaining cessation aids (27.3%), and low demand from patients/clients (22.7%). Most pharmacists (86%) were willing to stock cessation aids. Of the total product requests, 61.2% were lodged by persons 26–50 years old. The stocking of products was not independent of location (p < 0.005). Conclusion: The barriers to the availability of smoking cessation aids, once adequately addressed, could positively enhance the achievement of smoking cessation practices. Full article

This study was carried out at 10 randomly selected fringe villages of Buxa Tiger Reserve (BTR) in the Terai region of West Bengal, India through personal interviews with 100 randomly selected respondents. The study documented 102 non-timber forest products (NTFPs) that were utilized throughout the year. In the local weekly market, 28 NTFPs were found to be traded by the collectors. The study shows that without proper price mechanisms and marketing channels; the residents cannot obtain fair prices for their products. The study found only nine NTFPs that were prominently traded with the involvement of middlemen and traders along with the royalty imposed by the State Forest Department. The MSPs computed for these nine NTFPs were 25–200% higher than the prices the collectors were selling to the traders. The nationalization of NTFPs through MSPs will help their effective marketing, ensuring an adequate income for the collectors, which will lead to their sustainable harvest and conservation through participatory forest management. Introducing MSPs for NTFPs with an efficient procurement network can advance the economic status of the inhabitants. We recommend increasing the inhabitants’ capacity to collect, store, process, and market NTFPs with active policy, institutional, and infrastructural support. Full article

Companies operating in the energy market in Poland conduct business activity on the basis of special regulations applicable to this type of entity. However, they are, like any other entrepreneur, exposed to the risk of delays in payments, non-payment, restructuring, or even bankruptcy of their contractor. Appropriate instruments should be used to mitigate these risks. There are many methods available today to deal with trading risks. However, they should be tailored to the individual needs of each entrepreneur based on an in-depth analysis of its contractors. This article analyzes the five largest companies selling electricity in Poland in terms of the risk of late payments in the period 2018–2023. It turned out that in the surveyed companies in the period 2018–2013, the amount of receivables was constantly increasing, and the average recovery term was longer than the average payment term in enterprises in general. The real impact of delayed payments on the profitability of the surveyed companies was also calculated. Then, the available methods of transaction risk mitigation (tangible collateral, personal collateral, form of paying, other legal, banking and insurance instruments) were analyzed and described, and whether and to what extent they are used in the surveyed companies. The conducted research also allowed the author to conclude that, unfortunately, despite the existence of many instruments, they are not used due to the costs and formalities associated with their acquisition. Full article

Globally, recycled building materials have attracted much attention, but the ambiguity of the use of recycled building materials makes it difficult for the building material remanufacturer (BMR) to compete with the building material manufacturer (BMM). Brand building is an important strategic tool for enterprises to increase product competitiveness. From the new perspective of the supply chain, this paper aims to examine the decision-making behavior of enterprises under two scenarios of consumer ambiguity neutrality and ambiguity tolerance and to analyze the impact of ambiguity tolerance on the pricing decisions of building materials supply chains in a brand-building scenario. This paper constructs a building material supply chain game model consisting of the BMM and BMR, according to the cognitive–affective personality system (CAPS) theory and through the Stackelberg game. The main findings are as follows. (1) Strengthening brand building can mitigate the negative impact of ambiguity tolerance on new product pricing. The selling price of recycled building materials is positively related to ambiguity tolerance. (2) When the BMM has higher brand value, there is a U-shaped trend between profit and ambiguity tolerance at a cost coefficient above the threshold value of 0.61. (3) When the BMR has higher brand value, profit is negatively related to ambiguity tolerance at operational inefficiencies and cost coefficients below the threshold value of 0.45. Otherwise, profits and ambiguity tolerance follow a U-shaped trend. This paper not only expands the research on brand building and ambiguity tolerance but also provides theoretical guidance for enterprises to make effective decisions in response to consumers’ ambiguity psychology. Full article

This study examines luxury tourists’ behavior toward sustainability in the aftermath of the pandemic, with a particular focus on the Maldives, a destination renowned for both its luxury offerings and commitment to sustainable practices. A qualitative approach was employed, featuring structured interviews with one hundred European tourists who had visited the Maldives and stayed at luxury resorts, alongside semi-structured interviews with three tour operator managers who sell the destination. In addition, secondary data provided by the tour operator were used to support the analysis and triangulate the data for more robust findings. The results show a significant shift in consumer attitudes: luxury travelers have become increasingly sensitive to sustainability and the protection of the environment since the pandemic. The tourists in the sample reported heightened awareness of their personal environmental impact and a greater desire to mitigate it. Furthermore, participants expressed a willingness to pay a premium for environmentally sustainable services and products, demonstrating a clear preference for businesses that can substantiate their eco-friendly practices through credible certifications and accreditations. These findings highlight the growing importance of sustainability in shaping luxury consumer behavior in the post-pandemic era. Full article

Background: Despite significant strides in anti-melanoma therapies, resistance and recurrence remain major challenges. A deeper understanding of the underlying biology of these challenges is necessary for developing more effective treatment paradigms. Methods: Melanoma single-cell data were retrieved from the Broad Single Cell Portal (SCP11). High-dimensional weighted gene co-expression network analysis (hdWGCNA), CellChat, and ligand-receptor relative crosstalk (RC) scoring were employed to evaluate intercellular and intracellular signaling. The prognostic value of key regulatory genes was assessed via Kaplan-Meier (KM) survival analysis using the ‘SKCM-TCGA’ dataset. Results: Twenty-seven (27) gene co-expression modules were identified via hdWGCNA. Notable findings include NRAS Q61L melanomas being enriched for modules involving C19orf10 and ARF4, while BRAF V600E melanomas were enriched for modules involving ALAS1 and MYO1B. Additionally, CellChat analysis highlighted several dominant signaling pathways, namely MHC-II, CD99, and Collagen-receptor signaling, with numerous significant ligand-receptor interactions from melanocytes, including CD99-CD99 communications with cancer-associated fibroblasts, endothelial cells, NK cells, and T-cells. KM analysis revealed that higher expression of SELL, BTLA, IL2RG, PDGFA, CLDN11, ITGB3, and SPN improved overall survival, while higher FGF5 expression correlated with worse survival. Protein-protein interaction network analysis further indicated significant interconnectivity among the identified prognostic genes. Conclusions: Overall, these insights underscore critical immune interactions and potential therapeutic targets to combat melanoma resistance, paving the way for more personalized and effective treatment strategies. Full article

Retail platforms have widely implemented recommender systems to provide personalized recommendations to consumers, influencing sales significantly. However, under the hybrid selling mode where platforms offer both their products and third-party sellers’ products, the profitability of a recommender system and the optimal allocation of recommendations become critical considerations. This paper introduces a game-theoretic model to investigate these issues and unveil how a recommender system and its characteristics influence prices and profits. A key finding is that the recommender system increases prices and profits only if the commission rate is high and the system is profit-oriented or inaccurate. Surprisingly, higher recommendation accuracy does not always translate into higher profits; it is advantageous only in a consumer-oriented system. Moreover, the retail platform tends to allocate more recommendations to its own product than to the third-party seller’s product, a strategy known as self-preferencing. This strategy gives the platform a competitive edge and boosts its profit compared to the third-party seller. Furthermore, the degree of self-preferencing varies with the accuracy and orientation of the recommendation system. Specifically, in a consumer-oriented system, self-preferencing increases with accuracy, while in a profit-oriented system, it decreases with accuracy. Full article

This study investigates the relationship between neuroticism and panic-selling behavior among investors, particularly during market downturns. Building on the theoretical framework of behavioral finance, we hypothesize that higher levels of neuroticism are positively associated with an increased likelihood of panic selling. The data for this research were derived from a comprehensive survey titled Survey on Life and Money, which was conducted by Rakuten Securities in collaboration with Hiroshima University in November and December 2023, with a total sample size of 189,524 participants. Our results reveal that 9.46% of the respondents fully or partially panic-sold their stocks during market volatility. Additionally, the respondents demonstrated a tendency toward neuroticism, with an average score of 2.95 out of 5 on the neuroticism scale. Using a probit regression analysis, we examined the dependent variable of panic selling in relation to neuroticism as the independent variable, controlling for various demographic, socioeconomic, and behavioral characteristics. Our findings robustly support this hypothesis, indicating that individuals with higher neuroticism scores are more likely to engage in panic selling during periods of market volatility, with significance at the 5% level. This study contributes to the behavioral finance literature by highlighting the significant role of personality traits in investment decision making and underscores the importance of understanding investor psychology in financial markets. This study emphasizes the need for a nuanced understanding of how individual psychological factors, particularly neuroticism, drive market behavior and influence broader economic stability. Full article

Residential and commercial buildings are responsible for 35% of the EU energy-related greenhouse gas (GHG) emissions. Reducing their emissions is crucial for meeting the challenging EU objective of the agenda for becoming a net-zero continent by 2050. The diffusion and integration of distributed renewable energy sources (RESs) and energy storage systems (ESSs), as well as the creation of energy communities (ECs), have proven to be crucial aspects in reducing GHG emissions. In this context, this article proposes a multi-agent AI-based control framework to solve the EC’s energy management problem in the presence of distributed RESs and ESSs as well as considering a shared ESS. The objectives of the proposed control framework are to satisfy the EC members’ load demand to maximize self-consumption and to manage ESSs charging and discharging processes, to enforce cooperative behavior among the EC members by adopting fair and personalized strategies and to maximize EC members’ profits. The proposed control procedure is based on three sequential stages, each solved by a dedicated local RL agent exploiting the Q-Learning algorithm. To reduce the computational complexity of the proposed approach, specifically defined state aggregation criteria were defined to map the RL agents’ continuous state spaces into discrete state spaces of limited dimensions. During the training phase, the EC members’ profiles and the ESSs’ and RESs’ characteristics were randomly changed to allow the RL agents to learn the correct policy to follow in any given scenario. Simulations proved the effectiveness of the proposed approach for different costumers’ load demand profiles and different EC configurations. Indeed, the trained RL agents proved to be able to satisfy the EC members’ load demands to maximize self-consumption, to correctly use the distributed and shared ESSs, to charge them according to respective personalized criteria and to sell the energy surplus, prioritizing sales to the EC. The proposed control framework also proved to be a useful tool for understanding EC performance in different configurations and, thus, for properly dimensioning the EC elements. Full article

This article examines the communication and marketing requirements of a prospective business enterprise that specializes in offering online courses focusing on psychology, personal growth and professional development to change patterns of educational production and consumption. The objective of this research is to analyse the necessary brand positioning for this company to improve its visibility, attracting and retaining interested customers. Using a sequential and evidence-based methodology, this study analyses the precise business requirements to establish an optimal and competitive platform for professionals offering wellbeing courses. This involved analysing the characteristics and needs of the target audience—the professionals who would deliver the courses—and the audience who would enrol in the courses. In addition, we assessed the company’s environmental context, its strengths, weaknesses and unique selling points, as well as effective marketing and positioning strategies, and its direct competitors. We identified a growing interest in online training of courses that contribute to wellbeing. Among the target audience, preferences were diverse, with 58.1% leaning towards personal growth, 45.9% interested in meditation and 43.2% in psychology. Social media, particularly YouTube (52.7%), served as the main source of information for these courses. Criticisms focused mainly on issues such as poor visual and audio quality (20%), inadequate structuring of content (30%) and perceived boredom (23.6%). Addressing these preferences through multilingual translation, niche targeting, diverse course offerings, flexible pricing and membership options can effectively cater to diverse customer segments. The findings emphasise the importance of prioritising audiovisual quality and personalised learning experiences to foster audience loyalty. Full article

As modern technologies, particularly home assistant devices and sensors, become more integrated into our daily lives, they are also making their way into the domain of energy management within our homes. Homeowners, now acting as prosumers, have access to detailed information at 15-min or even 5-min intervals, including weather forecasts, outputs from renewable energy source (RES)-based systems, appliance schedules and the current energy balance, which details any deficits or surpluses along with their quantities and the predicted prices on the local energy market (LEM). The goal for these prosumers is to reduce costs while ensuring their home’s comfort levels are maintained. However, given the complexity and the rapid decision-making required in managing this information, the need for a supportive system is evident. This is particularly true given the routine nature of these decisions, highlighting the potential for a system that provides personalized recommendations to optimize energy consumption, whether that involves adjusting the load or engaging in transactions with the LEM. In this context, we propose a recommendation system powered by large language models (LLMs), Scikit-llm and zero-shot classifiers, designed to evaluate specific scenarios and offer tailored advice for prosumers based on the available data at any given moment. Two scenarios for a prosumer of 5.9 kW are assessed using candidate labels, such as Decrease, Increase, Sell and Buy. A comparison with a content-based filtering system is provided considering the performance metrics that are relevant for prosumers. Full article

Though often under-represented in the official and national narratives and in Canadian military historiography more broadly, the intimate and personal lived experiences of Canadian prisoners of war (POW) during the Second World War can be found in archives, photography collections, and collections of war art. In an attempt to see past the mythologised versions of POWs that appear in Hollywood films, best-selling monographs, and other forms of popular culture, it is through bits of ephemera—including wartime log books and the drawings carefully kept and sent home to loved ones along with handwritten letters—that the stories of non-combatant men and women who spent their war as POWs, can be told. Together, Canadian POWs created and curated community and fostered unconventional family ties, sometimes called “emotional communities”, through the collection and accumulation of drawings, illustrations, paintings, and other examples of war art on the pages of their wartime log books while living behind barbed wire. This article uncovers some of these stories, buried in the thousands of boxes in the George Metcalf Archival Collection—the textual archives—at the Canadian War Museum (CWM) in Ottawa, Ontario, Canada. Full article