Search

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]

Technological progress has caused companies to automate processes as customers seek a product and/or service that is exclusive to their needs. Therefore, the study carries out a historical-logical analysis of academic documents on the metaverse in the business field. In this sense, it describes from the evolution to the digital transformation of the metaverse that optimises resources, provides unique buying and selling experiences, promotes brands, among others. In this way, documents in English and Spanish were reviewed and indexed in the databases Google Scholar, Scopus, Springer, and others. In conclusion, the research reflects the relevance of the metaverse as a virtual, immersive, convergent and three-dimensional world for the company-user, brands and sectors that seek added value to satisfy the market. [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]

This study sought to gauge to what extent companies in the production chain focus on the relationship between contextual factors and the definition of eco-innovation strategies. The methodology is based on a quantitative approach using a survey in 117 companies. The results show that, in general, the companies in the sample the correlation with proactive innovation strategies was especially strengthened for those at the beginning of the production chain, with an increase in the mean for this group. This result is not in keeping with the literature when it comes to the sample data. In the literature, companies that operate in the latter stages of the production chain ought to have a greater impact at the environmental actions, as they have more direct contact with consumers of the end product. This improved performance for companies at the beginning of the production chain could be explained by the fact that these are the most polluting companies and have become the focus of environmental legislation. [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]

Introduction Methods Results Conclusions Consumer and community involvement PLAIN LANGUAGE SUMMARY Consumer contribution to occupational therapy student learning is mandated for Australian educational programs. However, there is limited research about how consumers contribute to student learning during practice placements. A scoping review was completed to explore the concepts of existing feedback systems for consumers to authentically contribute to student learning during practice placements.Five databases were searched for all articles up to and including July 2023. All publications were included if they described and investigated authentic contribution to student learning during a practice placement experience. Data from the results and discussion sections of the papers were transformed into qualitative data and thematically analysed to develop a conceptual understanding of consumer feedback systems.Forty‐six papers met the eligibility criteria. Most articles originated from Medicine (30%) and Nursing (45%) education. Feedback systems were primarily designed to critique student communication and professional behaviours using a variety of standardised and non‐standardised methods. Five interconnected themes were created that addressed the concepts of consumer feedback systems. The themes were (1) creating value specific for each stakeholder is essential, (2) preparation is required and nuanced; (3) consumers do engage and provide critical feedback when the system is supportive of all stakeholders; (4) gathering approaches need to be responsive to the diversity of practice and learning; (5) processing feedback with a trusted mentor is critical for learning.Consumers, academics, practice educators, and students recognised that consumers have an important role in contributing to student learning during practice placements. Future consumer feedback systems need to be co‐produced to create an optimal mode for consumers to authentically contribute to student learning constructively and safely.A consumer consultant was a member of the advisory panel for the larger research project that this review is part of and provided advice to the research team at all stages of the project.In Australia, occupational therapy training programs require input from consumers to help students learn. However, there is not much research on how consumers help occupational therapy students during their practical training. We did a review to see how existing feedback systems let consumers genuinely help students during their training. We searched five databases for research up to July 2023. We included research that talked about how consumers help all health students learn during practical training. We found 46 articles, mostly from Medicine and Nursing education. We analysed them to understand how consumer feedback systems work and found five main themes: (1) making sure everyone involved gets value out of it, (2) being prepared is important, (3) consumers give useful feedback when the system supports everyone involved, (4) different approaches are needed because practices and learning vary, and (5) discussing feedback with other people helps students learn. Current feedback systems mostly focused on how students communicate and behave professionally. Consumers, educators, and students all agree that consumers play a vital role in helping students learn during practical training. In the future, we need to work together to make feedback systems that let consumers help students in the best way possible, making sure it is constructive and safe for everyone. [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.

For the Nordic paper industry the years 2001–2007 were a culmination point as to paper production and deliveries. The study uses plant level empirical time series data from these years from one large integrated Finnish paper mill. The research data covers complete customer data and cost components, and a major supplier for European paper markets. The case company worked actively with a customer base and concentrated on the most profitable markets. However, some unprofitable deliveries, which still covered the variable and fixed costs, also supported the operation of the mill and the continuing of the 24/7 shift. The results indicate that even with matured and bulky products like paper, it is still possible to operate on the basis of separated pricing, some bargaining power, and customized focus. In this respect, the markets do not seem to follow the economic theory expectation entirely, that is, for such a mature and bulky product market price differentiation should not be possible. However, to utilize this, it requires up-to-date information system concerning internal cost accounting, together with an emphasis on the management to have an active role with the customer base. [ABSTRACT FROM AUTHOR]

Purpose: Due to e-commerce growth, technological advancements and environmental concerns, developing a more nuanced service portfolio has become a critical issue for last-mile logistics service providers. Concurrently, consumers are adopting new modes of consumption. This paper aims to investigate the potential for last-mile logistics service providers to act as intermediaries in access-based consumption and to revitalise their service offerings through product-service systems – a pioneering strategy not executed in the market yet. Design/methodology/approach: This strategic customer foresight study uses a quantitative survey of 1,000 respondents and an online focus group comprising 10 early adopter consumers to investigate emerging last-mile service models. Potential service concepts were identified through the survey, and two distinct concepts were subsequently selected for evaluation and co-development within the focus group. The research was conducted in partnership with an SME logistics company in Finland. Findings: The consumers expressed selective interest in access-based consumption related to the proposed offering of essential household goods. Young adults and consumers in early middle age living in the city centre emerged as the most potential user groups. Economic reasons and short-term needs were the primary motivations for adopting access-based consumption. Practical implications: The study showed that engaging consumers in a customer foresight process is viable for SMEs innovating their offerings and demonstrates how the process works in practice. Originality/value: Documented cases of customer integration into foresight processes are rare in earlier research, and this paper extends the knowledge base through a multidisciplinary examination of future consumer behaviour in the last-mile logistics domain. The paper also expands the limited literature on the role of logistics in access-based consumption. [ABSTRACT FROM AUTHOR]

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]

The paper aimed to analyse Romanian consumers' perception towards a traditional product from Kurdistan. For this purpose a research was conducted among consumers of traditional products from Cluj-Napoca City. To achieve the purpose of the study a face to face survey was conducted. The research instrument was divided into 3 main parts: (i) expectation regarding the attributes of traditional product; (ii) perception of "Gezo" a traditional sweet product from Kurdistan; (iii) socio-demographic profile of the respondents. To determine if there are any differences between the perception and expectations regarding the traditional analysed product, a set of 13 items related to product attribute were evaluated on a scale from 1 to 5. The results indicated that the analysed product did not meet the Romanian consumers expectations especially in terms of taste (-1.1) and flavour (-0.22), but were positively appreciated the low content of fats (0.45) and sugars (+0.28). This study represents a first step in analysing the possibility of exporting traditional products outside of Kurdistan, and offers valuable information to adapt future development product strategies. [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]

A tunable active-noise-control (ANC) circuit topology for headsets used in different applications is presented in this article. In the current consumer headset market, ANC is a mature technology that is commonly applied to wireless headsets connected to smartphones for listening to music and making phone calls. The development of ANC headsets has resulted in low-cost and simple devices due to the built-in ANC registers in the digital circuit. Digital circuit implementation is important to provide ultra-low latency processing for different algorithms compared with using digital signal processors (DSPs). However, a limitation associated with these built-in ANC filters is that the ANC digital circuit has been designed only for the wireless headset consumer market. Consequently, ANC headsets can only be used for designated features. ANC tuned for planes by eliminating low-frequency engine noise has been commonly used in the past twenty years. Pass-through (PT) amplification is also commonly tuned to allow users to hear external sounds and have conversations without having to remove their headset. In addition, ANC and PT amplification are also not allowed to operate simultaneously on the existing chipsets. In this paper, an ANC circuit topology with ultra-low latency processing is presented, where the ANC response of the headset can be tuned without any restriction imposed by the built-in ANC filters. The proposed ANC circuit topology consists of a commercial ANC chipset with an external audio codec to provide tunable characteristics. It is achieved by fixed maximum noise cancellation of ANC chipset being modified by summing with the signal from audio-codec path via an audio mixer. Acoustic performance for several headset applications implemented using the proposed circuit is validated. This simple circuit topology can be easily developed and adapted to the current headset consumer market for consumer-selective ANC in different environments. [ABSTRACT FROM AUTHOR]

Innovative products entering the market will cause dynamic changes in market demand, and consumers' purchase regret and their return behavior make the market environment more and more complex, which in turn affects the dynamic decision-making in the supply chain. In this paper, under the situation of discrete decision time, combining with the objective reality, we make discrete modification to the classical Bass diffusion model (Bass model), construct a manufacturer-led, retailer-followed supply chain differential game model, analyze the optimal decision-making of the manufacturer and the retailer by combining with the theory of discrete optimal control, and then verify the conclusions by numerical simulation. The results show that: when retailers purchase directly from the manufacturer and sell in the market, the optimal pricing of the innovative product can make the supply chain as a whole, realizing Pareto optimality; consumer's purchase regret will increase the amount of returns, which will lead to the decrease of product sales and the profits of the manufacturer and the retailer; when the innovative product accounts for a different share of the market, the impact of purchase regret on the wholesale price and the retail price are also different. Therefore, manufacturers need to have an extensive comprehension of the market to minimize the negative effects of consumer regret and returns, and to formulate a reasonable pricing strategy for their products to gain as much profit as possible. [ABSTRACT FROM AUTHOR]

We consider a system of two coupled parallel queues with infinite waiting rooms. The time setting is discrete. In either queue, the service of a customer requires exactly one discrete time slot. Arrivals of new customers occur independently from slot to slot, but the numbers of arrivals into both queues within a slot may be mutually dependent. Their joint probability generating function (pgf) is indicated as A (z 1 , z 2) and characterizes the whole model. In general, determining the steady-state joint probability mass function (pmf) u (m , n) , m , n ≥ 0 or the corresponding joint pgf U (z 1 , z 2) of the numbers of customers present in both queues is a formidable task. Only for very specific choices of the arrival pgf A (z 1 , z 2) are explicit results known. In this paper, we identify a multi-parameter, generic class of arrival pgfs A (z 1 , z 2) , for which we can explicitly determine the system-content pgf U (z 1 , z 2) . We find that, for arrival pgfs of this class, U (z 1 , z 2) has a denominator that is a product, say r 1 (z 1) r 2 (z 2) , of two univariate functions. This property allows a straightforward inversion of U (z 1 , z 2) , resulting in a pmf u (m , n) which can be expressed as a finite linear combination of bivariate geometric terms. We observe that our generic model encompasses most of the previously known results as special cases. [ABSTRACT FROM AUTHOR]

This paper analyzes the M/M/c queueing system with server working breakdown and impatient customers under the classical truncated retry strategy. The steady-state equilibrium conditions of the system are obtained using the matrixgeometric solution method. Then the steady-state probabilities and the performance indicators of the system in the steadystate case are obtained using the Markov process theory and Gauss-Seidel iterative algorithm. Numerical experiments are conducted to assess the system’s steady-state performance indicators. Finally, we developed an optimization model for the system and derived the optimal parameters from the analysis of the optimization function. [ABSTRACT FROM AUTHOR]