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Purpose: In this present study, electrophotographic printing is made on papers which are subjected to different recycling numbers, and this paper aims to examine the colour changes of this printing type. Design/methodology/approach: Four-colour electrophotographic printing is carried out on adhering to the INGEDE 11p standard recycled papers four times under the same conditions. Colour measurements are made by means of electrophotographic printed colour scales printed on these recycled papers. Colour measurements are made with the X-Rite eXact spectrophotometer according to the ISO 13655:2017 standard. As a result of colour measurements, colour differences (ΔL′, ΔH′, ΔC′, ΔE00) of recycled papers are determined using some formulas. Findings: According to the values obtained after four recycling, the highest ΔL′ value is found to be 4.80 yellow and the lowest 1.92 black. Again, according to the measurement results, it is determined that the highest ΔE00 is yellow colour with a value of 5.66, and lowest ΔE00 is black colour with a value of 1.98. In ΔH′, black colour is the highest value of 12.61, the lowest value with −2.05 is obtained in magenta colour. It was observed that the highest ΔC′ value is 2.98 in yellow, and the lowest value is −0.28 in black. Originality/value: In the printing industry, sometimes customers want to monitor the colour differences in the printing by taking the L′a′b′ obtained values as a result of printing from the printing houses. If the colour differences exceed the tolerance values, then they can interfere with the printing. As a result of the calculations, colour changes in electrophotographic printing are observed with many parameters. This study can be a pioneer for the studies that can be done on this subject. [ABSTRACT FROM AUTHOR]

In order to understand consumers' perceptual cognition of Zhangpu paper-cut patterns and grasp the innovative application direction. The four design elements of paper-cut patterns were extracted by morphological analysis, and representative perceptual vocabulary were selected using Kansei engineering theory and factor analysis, then the design elements and perceptual evaluation scores of representative words are used as the input and output data of the GWO-BP neural network, respectively, to establish an intelligent model that can predict consumers' perceptual cognition of paper-cut patterns. To verify the superiority of the model, the predicted result of BP and FA-BP are compared with GWO-BP neural network. The results show that although the convergence speed of the GWO-BP model is slightly lower than that of the FA-BP model, its prediction accuracy is significantly better than other algorithms. Designers can use the model to quickly redesign the paper-cut pattern to better meet the aesthetic needs of modern consumers. [ABSTRACT FROM AUTHOR]

This research examines how using a paper versus mobile calendar influences everyday planning and plan fulfillment behavior. Consumers are rapidly moving from paper to mobile calendars for convenience, but this research shows that doing so may lead individuals to be less successful in effectively developing and implementing their plans. In three studies, we demonstrate that compared with mobile calendar users, paper calendar users develop higher-quality plans and are more successful in plan fulfillment. We provide evidence that this happens because paper calendar users take a broader, big-picture perspective during planning, which also leads to higher-quality plan development and a greater likelihood of plan fulfillment. When mobile calendar users use a mode that also provides a broader perspective, their plan quality increases. [ABSTRACT FROM AUTHOR]

Howard Rachlin's widely influential behavioral economic approach to self‐control and related issues provides the model for this submission. The topic is overconsumption. Current human consumption levels are unsustainable. Explanations typically focus on societal factors, such as the seductive power of advertising and/or misguided tax policies. However, the effectiveness of these factors depends on the degree to which individuals are susceptible to the message: "consume more." Humans are not blank slates. This paper argues that how individuals frame their choices establishes the susceptibility to overconsume. According to economic theory, consumers frame their options as bundles, composed of different combinations of the available items and activities. This leads to maximizing. In experiments, participants tend to frame their options as "either‐or" choices. This leads to the matching law. Mathematical models of concurrent schedule choice procedures show that (1) the matching law implies overconsumption of the most preferred option and (2) that individuals will persist in preferring their favorite option even when doing so reduces overall reward rates. Given that the matching law better describes how individuals choose than does maximizing, the mathematical models of widely used choice procedures help explain why efforts to increase consumption have been more influential than efforts to control consumption. [ABSTRACT FROM AUTHOR]

• Consumers perceive paper packaging as healthier than plastic packaging. • Paper packaging decreases consumption amounts, as compared to plastic packaging. • Paper packaging activates a health goal, which prompts consumers to limit their consumption of food from paper packaging. • The findings are relevant for food manufacturers, public policy makers, and consumers to enhance healthy consumer behavior. This research investigates how packaging materials bias perceived packaging healthiness and real food consumption. Across five studies and two different food product categories (healthy vs. unhealthy), the authors demonstrate that paper packaging, compared with plastic packaging, decreases consumption amounts of food products. We demonstrate that health goal activations explains this effect as paper packaging can be considered a health-related cue. The notion that packaging materials affect consumption of (un)healthy products is substantially relevant to food manufacturers, public policy makers, and consumers, especially in their efforts to enhance healthy consumer behavior. [ABSTRACT FROM AUTHOR]

This paper highlights the transformative potential of place-based community organizing as a theory and practice of progressive social change and as a critical approach to the social purpose of community engagement in Higher Education Institutions. The aim is to expose power asymmetries and civic renewal "from below" through a focus on community engaged learning, specifically community organizing on the curriculum for geography undergraduates. The empirical focus is an English university, but the issues and observations are widespread. Around the world, students are coping with disruptions following a global pandemic, austerity, and loss of trust in local democracy – participating in climate emergency and racial justice movements. This paper advances community organising and community engaged learning as a mutually co-constitutive challenge to conventional notions of the student as a passive consumer of recruitment, learning, and individualised notions of civic responsibility. Methods of community organising are based on the theory that if you want change, you need power: change ultimately traces a motivational journey from anger to agitation and action. Empirical vignettes explore the transformative role of emotionally stirring "political theatre" and direct action, while exposing tensions that arise due to the transitory status of students in place and time. [ABSTRACT FROM AUTHOR]

To effectively promote the efficient dissemination of sci-tech journals and improve the influence of sci-tech journals, a precise push method of sci-tech journals based on knowledge graph reasoning is proposed, using knowledge graph to build network to realize push reasoning of scientific and Technological Journals. Based on the one-way author relationship network diagram and the two-way keyword network diagram, the PageRank algorithm is used to calculate the weight of network vertices, quantitatively and accurately identify the research direction of push customers and predict customers, and realize the accurate push management of content, so as to obtain the basis for the construction of network diagram. Based on the previous article in the Journal of the information society of science and technology of China, this paper constructs a knowledge reasoning diagram, mines 52 co-author cases and 60 related papers as experimental data, and verifies the progressiveness method through customer value. According to the network diagram, the progressiveness of this method is verified. The experimental results show that the knowledge map network reasoning method proposed in this paper has high accuracy in identifying the push objects of scientific and technological journals and accurately predicting the research direction. The matching degree between the number of customers and the pushed content. Using knowledge map network can ensure the timeliness and accuracy of pushing scientific and technological journals. [ABSTRACT FROM AUTHOR]

We consider the optimal scheduling problem in a multiserver queue with impatient customers belonging to multiple classes. We assume that each customer has a random abandonment time, after which the customer leaves the system if its service has not been completed before that. In addition, we assume that the scheduler is not able to anticipate the expiration of the abandonment times but only knows their distributions and how long each customer has been in the system. Many papers consider this scheduling problem under Poisson arrivals and linear holding costs assuming further that both the service times and the abandonment times have exponential distributions. Even with these additional assumptions, the exact solution is known only in very few special cases. To tackle this tricky problem, we apply the Whittle index approach. Unlike the earlier papers, which were restricted to exponential service times, we allow the service time distributions for which the hazard rate is decreasing. The Whittle index approach is applied to the discrete-time multiserver queueing problem with discounted costs. As our main theoretical result, we prove that the related relaxed optimization problem is indexable and derive the corresponding Whittle index explicitly. Based on this discrete-time result, we develop a reasonable heuristic for the original continuous-time multiserver scheduling problem. The performance of the resulting policy is evaluated in the M/G/M setup by numerical simulations, which demonstrate that it, indeed, gives better performance than the other policies included in the comparison. [ABSTRACT FROM AUTHOR]

The article offers information on a special issue of Brontë Studies that focuses on the Brontës and material culture, inspired by the exhibition "Defying Expectations: Inside Charlotte Brontë's Wardrobe." It invites articles that explore various aspects of material culture related to the Brontës, including women as consumers, the Victorian home, archiving, representation of objects in literature, and items owned by the Brontës.

With the development of global clean energy and the implementation of carbon emission reduction policies, the direct purchase of electricity by large consumers has been increasingly promoted as a special form of electricity trading. Therefore, on the basis of the completion of low-carbon emission reduction targets in each country, how to rationalize the electricity purchase by large consumers in the electricity market so as to reduce their electricity purchase costs has become the main target of attention in each country. Currently, there are fewer studies in existing research on the direct electricity purchase strategy of large consumers under the consideration of the weight of consumption responsibility and risk. Based on this, this paper constructs a dual-game model for direct electricity purchase by large consumers based on the Stackelberg game and non-cooperative game theory. The concept of value at risk is further introduced, and the optimal strategy of direct electricity purchase by large consumers is proposed. The results of this study show that when market players make decisions on the purchase and sale of electricity, power suppliers will increase their biddings to obtain the highest returns, and large consumers can reduce the transaction costs by combining the medium- and long-term market with the spot market to purchase electricity. In the choice of electricity purchase market, with the increasing risk factor, large consumers shift from the risky spot market to the less risky medium- and long-term market and option market. This paper provides a reference for the issues of power suppliers' contract bidding and large consumers' electricity purchase strategy in the medium- and long-term contract transactions. [ABSTRACT FROM AUTHOR]

With the rapid development of big data and continuous optimization of online shopping platforms, personalized recommendation has become a standard feature of recommendation methods. In order to effectively provide personalized recommendations to customers, improve recommendation accuracy, and customer satisfaction, it is necessary to consider customers' preferences for multiple product attributes when making product recommendations. However, existing recommendation methods require precise calculation of product attribute weights, which is computationally expensive, complex, and often results in unstable weight values. This paper proposes a multi-attribute recommendation method based on consumer decision preference information that overcomes the need for weights and reflects personalized customer preferences. Based on the acquisition of customer product attribute preference sequences, a partial order relation for recommended products is constructed using partial order set theory. Finally, the recommended products are determined through the partial order Hasse diagram, where the top layer elements of the Hasse diagram represent the recommended product set. This method addresses challenges that traditional content-based recommendations cannot overcome. The experiment in this paper uses a dataset of 30,000 records from Beeradvocate beer reviews. The experimental results show that, compared to traditional multi-attribute recommendation methods, this method only requires decision-maker preference information to complete product recommendations, requiring less information and having lower computational costs, resulting in more robust results. [ABSTRACT FROM AUTHOR]

Emotional factors play a crucial role in streaming live marketing of agricultural products. Some literature explored several emotional factors' impact on consumers' purchase intention. Nonetheless, the interaction and integration effects of these factors have received less attention. Based on Consumer Engagement Theory, SOR model and TAM model, the paper constructs a moderated mediation model of the interactivity/presence, trust/resonance and purchase intention under rural sentiment. A quantitative study based on 365 valid samples is conducted to validate this model. The results indicate that interactivity and presence positively impact on consumers' purchase intention, trust and resonance play a mediating role between interactivity/presence and purchase intention separately. Contrary to our expectations, rural sentiment negatively moderates the relationship between interactivity and resonance. Differences of regression results between urban and rural group indicate that the cultural backgrounds of consumers have an impact on their emotional responses in live streaming of agricultural products. The results illustrate the mechanism of emotional factors in consumers' purchase decisions. Overall, this paper reveals the potential of emotional factors and the development of effective marketing strategies to improve agricultural products sales. [ABSTRACT FROM AUTHOR]

This paper introduces a groundbreaking approach to demand response management, aiming to empower consumers through innovative strategies. The key contribution is the concept of "acquiring flexibility rights", wherein consumers engage with power aggregators to curtail energy usage during peak-load periods, receiving incentives in return. A flexibility right coefficient is introduced, allowing consumers to tailor their participation in demand response programs, ensuring their well-being. Additionally, a lighting intensity control system is developed to enhance residential lighting network efficiency. The study demonstrates that high-energy consumers, adopting a satisfaction factor of 10, can achieve over 61% in electricity cost savings by combining the lighting control system and active participation in demand response programs. This not only reduces expenses but also generates income through the sale of flexibility rights. Conversely, low-energy consumers can fully offset their expenses and accumulate over USD 33 in earnings through the installation of solar panels. This paper formulates an optimization problem considering flexibility rights, lighting control, and time-of-use tariff rates. An algorithm is proposed for a distributed solution, and a sensitivity analysis is conducted for evaluation. The proposed method showcases significant benefits, including cost savings and income generation for consumers, while contributing to grid stability and reduced blackout occurrences. Real data from a residential district in Tehran validates the method's effectiveness. This study concludes that this approach holds promise for demand response management in smart grids, emphasizing the importance of consumer empowerment and sustainable energy practices. [ABSTRACT FROM AUTHOR]

This paper analyses the digitalization of museum marketing as an innovative tool for customer evaluation. The content analysis of digital tools created by the most visited museums in the world on social networks such as Facebook, Twitter and Instagram were carried out. To obtain statistical information about the pages of museums in social networks, the social media analytics and management tool Fanpage Karma was used. According to the selected indicators, Fanpage Karma filters the rating of the networks' current strongest content. The correlation between the number of museum visits and indicators showing the interaction of the museum with visitors using social networks, such as the number of fans, the page performance index, the number of posts per day, the growth rate of followers, post interactions, and the number of total reactions and comments, was evaluated. The aim of this paper is to analyse the impact of museum marketing digitalization processes on museum visits by tourists and, as a result, the economic development of the museum business. To monitor the digitalization strategy of the museum's marketing activities, a mixed approach based on qualitative and quantitative analysis was used. Multivariate analysis was carried out to determine the relationship between museum attendance and the interaction between museums and subscribers in social networks. It has been proven that the introduction of digital technologies in museum marketing can attract visitors and put the institution at the new informational level. The number of museum visits and the number of fans, the number of posts per day, interactions, and the number of reactions and comments are the same across all social networks. The paper allows us to know the potential audience of the museum and its needs and requests and to predict the interests of certain categories of museum visitors. The scientific novelty and originality of the research consists of the use of digital marketing tools for evaluating their influence on client behaviour. The results of the study may be useful for the development of monitoring systems and strategic management of marketing when evaluating the behaviour of consumers on the content of social networks at enterprises in various industries. [ABSTRACT FROM AUTHOR]

Priced oblivious transfer (POT) is a cryptographic protocol designed for privacy-preserving e-commerce of digital content. It involves two parties: the merchant, who provides a set of priced items as input, and a customer, who acquires one of them. After the protocol has run, the customer obtains the item they chose, while the merchant cannot determine which one. Moreover, the protocol guarantees that the customer gets the content only if they have paid the price established by the merchant. In a recent paper, the authors proposed a POT system where the payments employed e-coin transactions. The strong point of the proposal was the absence of zero-knowledge proofs required in preceding systems to guarantee the correctness of payments. In this paper, we propose a novel e-coin-based POT system with a fast item retrieval procedure whose running time does not depend on the number of items for sale. This is an improvement over the aforementioned existing proposal whose execution time becomes prohibitively long when the catalog is extensive. The use of zero-knowledge proofs is neither required. [ABSTRACT FROM AUTHOR]

The way firms and marketers promote their products is being shaped by consumer needs and trends alongside the evolution of the marketplace. As web technologies and consumers’ online behavior improve, influencers are becoming increasingly significant in social media marketing strategies. This research intends to investigate a particular digital phenomenon observed in the field of books, namely, marketing books on Instagram. Therefore, the study aims to highlight the key aspects of book influencers' Instagram activity, namely by examining the literature, but also the evolution of the bookstagram phenomenon in a dual perspective in both Romania and the United States. Furthermore, the purpose of this research is to draw attention to the similarities and differences among the existing communities in the two countries pointed out by a quantitative research. On that account, the data analyzed was collected in two different ways, first we retrieved information from Statista online database about the phenomenon in the United States of America and then, we conducted a questionnaire to bookstagram community members in Romania. Accordingly, the paper will contribute to the expansion of the literature on #bookstagram communities in various cultures around the world by providing useful information and a more diverse view of this market. [ABSTRACT FROM AUTHOR]

This paper presents a study of fork–join systems. The fork–join system breaks down each customer into numerous tasks and processes them on separate servers. Once all tasks are finished, the customer is considered completed. This design enables the efficient handling of customers. The customers enter the system in a MAP flow. This helps create a more realistic and flexible representation of how customers arrive. It is important for modeling various real-life scenarios. Customers are divided into K ≥ 2 tasks and assigned to different subsystems. The number of tasks matches the number of subsystems. Each subsystem has a server that processes tasks, and a buffer that temporarily stores tasks waiting to be processed. The service time of a task by the k-th server follows a PH (phase-type) distribution with an irreducible representation ( β k , S k ), 1 ≤ k ≤ K . An analytical solution was derived for the case of K = 2 when the input MAP flow and service time follow a PH distribution. We have efficient algorithms to calculate the stationary distribution and performance characteristics of the fork–join system for this case. In general cases, this paper suggests using a combination of Monte Carlo and machine learning methods to study the performance of fork–join systems. In this paper, we present the results of our numerical experiments. [ABSTRACT FROM AUTHOR]

Purpose: Although extant studies have investigated the antecedents of negative electronic word of mouth (eWOM), they treated it as a unidimensional concept without classification. To bridge this knowledge gap, this paper distinguishes rational negative eWOM (RNW) from emotional negative eWOM (ENW) and leverages the consumer value framework to investigate their drivers in the context of peer-to-peer accommodation platforms (PPAPs). Design/methodology/approach: This study collected data through an online survey of 437 PPAP users. Partial least squares (PLS) were used to validate the proposed hypotheses. Further, the path coefficients comparison method was adopted to distinguish the different impacts of consumer values on RNW and ENW. Findings: This research showed that self-presentation exerted a positive impact on RNW, but its relationship with ENW was insignificant. Anger and regret were, respectively, positively related to ENW and RNW. Besides, altruism exerted a positive effect on RNW, whereas it had a negative effect on ENW. Originality/value: First, this paper makes a fresh attempt to categorize negative eWOM into RNW and ENW. Second, this paper draws upon the consumer value framework to dissect varied motivations for posting RNW versus ENW on PPAPs. Third, this paper empirically verifies the differential influences that consumer values exert on RNW and ENW. [ABSTRACT FROM AUTHOR]

Stakeholder frameworks document the nature of sport franchise owners' interactions with local residents, but there has been little attention on understanding why interactions develop a contentious or collaborative tenor. There has also been little emphasis on understanding whether and how interactions affect revenue-side outcomes. This paper uses the team identification literature to buttress the idea that owners are meaningful points of attachment for fans. It also uses consumer political ideology scholarship to explain that owners' ideologies—never more visible than today—are important predictors of consumption. The paper proposes and tests a series of hypotheses about the effect of owners' and residents' ideological divergence on attendance and spending. Similar ideologies between residents and long-tenured owners were associated with about $8–$10 more spending per fan per game, as well as 2,400–3,950 more fans per game. Implications for academics and practitioners are provided. [ABSTRACT FROM AUTHOR]

The purpose of this study is to investigate how perceived sustainability and perceived natural rarity influence willingness to pay more for luxury. The mediating role of consumer desire for luxury was also examined. Results suggest that perceived natural rarity and perceived sustainability are positively related but distinct constructs. Perceived natural rarity was found to have a significant and positive influence on consumers' willingness to pay more, mediated by their desire for luxury. Similarly, consumer desire for luxury was also found to be a significant mediator for the relationship between perceived sustainability and willingness to pay more among consumers. This is the first paper to empirically test the relationship between perceived natural rarity and perceived sustainability. The findings provide innovative insights into the use of sustainable yet luxurious raw materials in the luxury industry, which can have significant implications for evoking consumer desires and purchasing intentions. [ABSTRACT FROM AUTHOR]

Based on 908 consumer questionnaire data from 15 urban areas in Shanghai, we use the binary logit model to empirically analyze the impact of traceability label trust on consumers' traceable pork purchase behavior and the moderating effect of food safety identification. After constructing the theoretical analysis framework, this paper verifies it from the two aspects of statistical analysis and econometric analysis and tests the robustness of the final results. The results show that: first, traceability label trust has a significant positive impact on consumers' traceability pork behavior. Second, food safety identification can significantly strengthen and promote this process. Third, consumers' purchasing behavior is significantly positively affected by traceable pork consumption scenarios and price labels, but the permanent elderly in the composition of family members significantly negative impact on it. Therefore, we put forward relevant policy suggestions, such as strengthening the knowledge popularization and publicity based on the advantageous commodity attributes of traceable pork, carrying out food safety knowledge popularization education, and enhancing consumers' risk perception and food safety identification ability. [ABSTRACT FROM AUTHOR]

Customer churn prediction is vital for organizations to mitigate costs and foster growth. Ensemble learning models are commonly used for churn prediction. Diversity and prediction performance are two essential principles for constructing ensemble classifiers. Therefore, developing accurate ensemble learning models consisting of diverse base classifiers is a considerable challenge in this area. In this study, we propose two multi-objective evolutionary ensemble learning models based on clustering (MOEECs), which are include a novel diversity measure. Also, to overcome the data imbalance problem, another objective function is presented in the second model to evaluate ensemble performance. The proposed models in this paper are evaluated with a dataset collected from a mobile operator database. Our first model, MOEEC-1, achieves an accuracy of 97.30% and an AUC of 93.76%, outperforming classical classifiers and other ensemble models. Similarly, MOEEC-2 attains an accuracy of 96.35% and an AUC of 94.89%, showcasing its effectiveness in churn prediction. Furthermore, comparison with previous churn models reveals that MOEEC-1 and MOEEC-2 exhibit superior performance in accuracy, precision, and F-score. Overall, our proposed MOEECs demonstrate significant advancements in churn prediction accuracy and outperform existing models in terms of key performance metrics. These findings underscore the efficacy of our approach in addressing the challenges of customer churn prediction and its potential for practical application in organizational decision-making. [ABSTRACT FROM AUTHOR]

In health insurance markets with regulated competition, regulators face the challenge of preventing risk selection. This paper provides a framework for analyzing the scope (i.e., potential actions by insurers and consumers) and incentives for risk selection in such markets. Our approach consists of three steps. First, we describe four types of risk selection: (a) selection by consumers in and out of the market, (b) selection by consumers between high- and low-value plans, (c) selection by insurers via plan design, and (d) selection by insurers via other channels such as marketing, customer service, and supplementary insurance. In a second step, we develop a conceptual framework of how regulation and features of health insurance markets affect the scope and incentives for risk selection along these four dimensions. In a third step, we use this framework to compare nine health insurance markets with regulated competition in Australia, Europe, Israel, and the United States. [ABSTRACT FROM AUTHOR]

Food packaging is an essential line to defend against the intrusion of undesirable external factors to protect food. The antibacterial edible films are considered as promising food packaging due to their biodegradability, environmental friendliness, and safety. In this paper, recent research progress on antimicrobial edible films based on polysaccharides, proteins, and lipids is reviewed. It is worth noting that polysaccharides and proteins are the main substrates of antimicrobial edible films, while lipids are mainly plasticizers and carriers of active substances in composite films. For example, second-generation liposomes have been investigated as promising carriers for antimicrobial substances or other bioactive substances due to their excellent stability. Moreover, recent advances and future trends of antimicrobial edible films are then analyzed. Linking antimicrobial edible film materials to delivery systems for stable loading of bioactive substances is a promising future direction, such as nanoemulsion and microencapsulation technologies. In addition, a smart and active packaging that allows consumers to directly determine the freshness of food products without unwrapping the package has come into the limelight. Currently, pH-sensitive films and smart fluorescent "on–off" sensors for humidity have been investigated as smart and active packaging materials for monitoring the freshness of food products, which can be vigorously explored in the future. [ABSTRACT FROM AUTHOR]

We build an endogenous growth model featuring a new mode of human capital accumulation in a data economy. Data are generated as the byproducts of economic activities and then used by consumers for human capital accumulation apart from education. Although we find similar growth patterns compared with those in the related literature, economic growth is further accelerated by the new use of data factor. Quantitative analyses suggest that although the accumulation of human capital is promoted by the increasing importance of data, this promotion is not unlimited since data may over-absorb resources and crowd out education. In the transition dynamics, we see that consumers suffer temporary welfare loss. However, as data become a key factor in human capital accumulation, welfare ultimately increases. Our paper provides a first view of the effect of the data factor in the process of human capital accumulation. • Digital economy promotes economic growth through human capital accumulation. • A model is built to incorporate data into human capital accumulation. • The promotion effect of data on human capital accumulation is not unlimited. • In transition dynamics, consumers may face temporary welfare loss. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to contribute to the analysis concerning how inflation forecasts from different economic agents (professional forecasters and consumers) lead to varying levels of central bank credibility and how it affects the monetary policy interest rate and its expectations. Design/methodology/approach: Based on the Brazilian economy data from June 2007 to May 2022, the authors provide evidence that is useful for search mechanisms that improve the conduct of monetary policy through the management of inflation expectations. The authors perform several ordinary least squares and generalized method of moments regressions inspired by the Taylor rule principle. In brief, the benchmark model considers that the monetary policy interest rate and its expectations respond to departures of inflation expectations to the target (a proxy for central bank credibility) and the level of economic activity. Findings: The main result of the analysis is that inflation expectations from professional forecasters and consumers imply different perceptions of central bank credibility that affect the monetary policy interest rate and expectations for horizons until one year ahead. Originality/value: The novelty that the authors bring from the analysis is that the authors calculate central bank credibility by taking into account the "public beliefs" of different economic agents. Furthermore, the authors analyze the effect of central bank credibility from professional forecasters and consumers on the monetary policy interest rate and its expectations. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to validate two domain-specific information privacy competency models (IPCMs); the first for online consumers and the second for users of mobile applications (apps). For the validation of the competency models, we conducted qualitative research, using interviews to collect feedback by a group of nine information privacy experts. Regarding the evaluation, the experts commented largely positively for the structure and content of the IPCMs, as well as for the extent to which they achieve the intended goals. They also provided several points for improvements, which resulted in enhancing the quality of both IPCMs. The validation of the domain-specific demonstrated that this is the first study to empirically examine the privacy competencies that users of specific technological contexts should hold. The IPCMs can be used not only by educators and privacy policy makers for the design of privacy interventions, but also by e-commerce and mobile-apps providers, who could gain important insights into the way that they can be more reliable for their users. Both consumers and users of mobile-apps could benefit from IPCMs by acquiring the necessary privacy competencies through training programs for the protection of their information privacy. [ABSTRACT FROM AUTHOR]

In various sectors, such as retail, firms encounter customers with multiunit demand and often implement nonlinear pricing to accommodate this demand structure. While effective, this pricing strategy lacks the adaptability offered by dynamic pricing, a trend gaining significance in the retail landscape due to technological advancements. Neglecting multiunit demand in dynamic pricing, however, can result in suboptimal prices and revenue losses. In response, this paper introduces multiunit dynamic pricing which integrates the strengths of both nonlinear and dynamic pricing strategies. We formulate a stage-wise optimization problem, considering customer preferences for batches of a product through a model based on random willingness-to-pay. The willingness-to-pay is influenced by a combination of the customer's attraction to and consumption of the product—both private information. The firm, functioning as a monopoly, has the ability to price-discriminate between various order sizes by quoting nonlinear batch prices. Our investigation explores three cases of observable information: attraction to the product, consumption of the product, or both. Optimality conditions are derived for all cases, establishing a closed-form expressions for two of them. Additionally, we demonstrate the preservation of desirable monotonicity in time and capacity. Leveraging this monotonicity, we showcase the dynamics of the optimal pricing policy. A simulation study underscores the potential of our approach, highlighting the value of information in supporting strategic decisions, particularly regarding investments in customer profiling and segmentation. Furthermore, we illustrate how our solutions enable firms to make informed stocking and restocking decisions, providing practical insights for firms in multiunit dynamic pricing environments. [ABSTRACT FROM AUTHOR]