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The purpose of this paper is to optimize the key parameters (mesh count, paper type and ink type) in screen printing, which are affecting the printed ink volume. The objective of the optimization was to maximize the color reliability by decreasing the color difference (ΔE value) of the prints while minimizing the ink consumption. Screen printing is still dominating the printing industry to make cost-effective production when high volumes are needed.

The experiment was designed using the Taguchi method, and the samples were prepared with screen-printing by using the standard squeegee angle and pressure. The effect of mesh count, ink type and paper type on ink consumption was evaluated with using analysis of variances and main effects plots of S/N ratio and standard deviation.

The factors ink type, paper type and mesh count were found significant for ink consumption due to their Probability (P) values which were lower than 0.05. It was determined that the mesh count was the most critical variable with the analysis of variance. The analysis showed that the selection of an optimum mesh count was the key to controlling the amount of the deposited ink. Although mesh counts were inversely proportional with the ink consumptions, they did not affect the color differences as expected.

The optimization of process parameters, that are most effective on the print quality, is necessary to minimize the ink usage and lower the costs and environmental impact without exceeding the desired ΔE value limits.

The purpose of this paper is to investigate the effects of chloride ion concentration and applied bias voltage on the electrochemical migration (ECM) behavior between Cu and Ag under an NaCl thin electrolyte layer (TEL).

A self-made experimental setup for the ECM behavior between Cu and Ag was designed. An HD video measurement microscopy was used to observe the typical dendrite/corrosion morphology and pH distribution. Short-circuit time (SCT), short-circuit current density and the influence of the galvanic effect between Cu and Ag on their ECM behavior were studied by electrochemical tests. The surface morphology and composition of dendrite were characterized by FESEM/EDS.

The SCT increased with increasing NaCl concentration but decreased with increasing applied bias voltage, and the SCT between Cu and Ag was less than that between Cu and Cu because their galvanic effect accelerated the dissolution and migration of Cu. When NaCl concentration was less than or equal to 6 mmol/L, cedar-like dendrite was formed, whereas no dendrite formed and only precipitation occurred at high chloride ion concentration (100 mmol/L). The composition of the dendrite between Cu and Ag was copper.

The significance of this study is to clarify the ECM failure mechanism of printed circuit board (PCB) with an immersion silver surface finish (PCB-ImAg).

This study provides a basic theoretical basis for the selection of protective measures and metal coatings for PCB.

The social implication of this study is to predict the service life of PCB.

The ECM behavior of dissimilar metals under a TEL was investigated, the influence of the galvanic effect between them on their ECM was discussed, and the SCT increased with increasing NaCl concentration.

The author develops a bilateral Nash bargaining model under value uncertainty and private/asymmetric information, combining ideas from axiomatic and strategic bargaining theory. The solution to the model leads organically to a two-tier stochastic frontier (2TSF) setup with intra-error dependence. The author presents two different statistical specifications to estimate the model, one that accounts for regressor endogeneity using copulas, the other able to identify separately the bargaining power from the private information effects at the individual level. An empirical application using a matched employer–employee data set (MEEDS) from Zambia and a second using another one from Ghana showcase the applied potential of the approach.

This study aims to investigate how domestic and international undergraduate students from a university in Ontario, Canada, defined locally grown food and examined the factors behind their locally grown food purchase intentions.

Questionnaires were distributed in the School of Hospitality, Food, and Tourism Management undergraduate classes. A total of 196 complete surveys were returned. Using multiple regression analysis and theory of planned behavior (TPB) as a theoretical framework with an additional construct, moral norm, proposed hypotheses were tested.

Domestic students narrowly defined locally grown food based on distance (e.g. food grown/raised within 100 km of where a person lives) compared to international students (e.g. food grown in Canada). The multiple regression analysis revealed that 36% of variance in purchase intention is explained by the four independent variables (i.e. student status, attitude, perceived product availability and moral norm), with perceived product availability as the strongest predictor of intention to purchase locally grown food.

The convenience sampling method limitations are as follows. First, the sample size was small for international students. Second, there was a possibility of underrepresentation of certain origins of international student populations. Third, the undergraduate respondents were from the School of Hospitality, Food and Tourism. Finally, another limitation is that the four variables in this study (i.e. attitudes, subjective norms, perceived product availability, and moral norm) only explained 36% of the variance of this model.

Perceived product availability, moral norm and attitude constructs positively influenced the locally grown food purchase intention. A perceived product availability construct revealed the strongest influence in locally grown food purchase intention of students. Particularly, five key questions were created based on the major research findings of this study, which can be used as a guideline for locally grown food providers and farmers when promoting locally grown food to students. These questions include: Where can I find it? When can I find it? Who grows it? How can I benefit others? Why is it good for me?

The results of this study shown that which factors influence locally grown food purchase intention of students. Hence, local restaurateurs and university dining facilities may incorporate these factors in their marketing message to serve students population better who might be interested in buying food products using locally grown ingredients. Research results also allow local farmers to communicate and inform their current and potential student consumers about the advantages of locally grown food. Overall, findings can contribute to economy and business of local community.

Current research findings verified that there is a significant use of a moral norm construct to predict locally grown food purchase intention of students. The moral norm construct positively influenced the locally grown food purchase intention in this study, and this construct seemed useful to predict locally grown food purchase intention of students. Additionally, the research discovered that there were differences in domestic and international undergraduate students' perception in the locally grown food definition.

This study investigates the credit supervision issue in rural e-commerce. By studying the trading strategies of buyers and sellers under different credit supervision measures and the impact of different pricing strategies on the trading strategies of both parties, this paper proposes regulatory suggestions for the increasingly severe credit problems in rural e-commerce.

In the online agricultural product transaction between farmers and consumers, both parties' decision-making is a dynamic process. Using the copying dynamic model of the evolutionary game, this study establishes two evolutionary game models to explore the factors affecting credit supervision in the rural e-commerce transaction process. Then, the study provides corresponding countermeasures and suggestions.

First, credit supervision measures implemented by rural e-commerce platforms and the Government's legal system construction and infrastructure construction guarantees influence both parties' trust choices in rural e-commerce transactions. Second, price is a key factor affecting both parties' trading strategies. In the case of relatively fair prices, the higher the proportion of farmers who choose “low price” and “honest transaction” strategies, the easier that is for consumers to choose to trust farmers. In contrast, the higher the price, the higher the proportion of consumers who choose the “trust farmers” strategy, and the more willing farmers are to choose honest transactions.

This work develops a new approach for analyzing rural e-commerce credit supervision. Moreover, this study helps establish and improve the credit supervision mechanism of rural e-commerce and further realize the long-term sustainable development of the rural economy.

Research on makers and innovation has been equivocal regarding whether maker innovation is driven by internal motivation or external incentives. The motivation view favors the intrinsic motives of makers, whereas the incentive view supports external economic incentives. The authors combine both views to explore how innovation tournaments promote the product innovation outcomes of different creative and entrepreneurial makers, using economic incentives (money) or social incentives (love).

The authors interviewed 42 makers and collected a panel dataset of 29,823 makers from the largest digital maker community in China using a Python crawling program. The authors analyzed the data using multiple methods, including cluster analysis, discriminant analysis, factor analysis and negative binomial regression.

Compared with entrepreneurial makers, the product productivity of creative makers is inferior, but their product popularity is greater. The social incentive of innovation tournaments promotes the product productivity and popularity of creative makers compared with that of entrepreneurial makers, but the economic incentive is contradictory. In addition, social and economic incentives interact to generate inconsistent influences.

The study identifies creative and entrepreneurial makers and contributes to user innovation and innovation tournaments by integrating motivation and incentive views.

This study investigated the factors of brand-related behavior, such as brand schematicity (BS), brand relevance in category (BRiC) and brand loyalty (BL), to clarify how they influence customer purchasing behavior regarding alcohol and other beverages. This study aims to provide insights that may benefit corporate and regulatory sectors regarding brand-related customer behavior and increases/decreases in alcoholic beverage purchases.

This study included a sample of 501 Hungarian participants, representative of the population in many respects. The author constructed a model using partial least squares structural equation modeling with data collected from internationally validated scales.

The findings of this study reveal that BL or BRiC do not positively and directly influence purchase frequency in the beer, wine and pálinka categories; however, their purchase frequency is significantly and positively influenced by BS. Additionally, the degree of BS was somewhat above average for alcoholic beverages compared to nonalcoholic beverages; it was also slightly higher for beer than for wine and pálinka.

To the best of the authors’ knowledge, this is the first study to examine the three brand-related factors of customer behavior, analyze their connections and clarify their effects on alcoholic beverage purchases. BS is a relatively new factor; to the best of the authors’ knowledge, no other study to date has measured the extent of BS and its association with beverage-related customer behaviors. Future studies can compare this study’s findings on the level of BS for eight alcoholic and nonalcoholic beverages. To the best of the authors’ knowledge, this study is also the first to investigate brand-related customer behavior regarding pálinka.

This study aims to provide insights into wine consumers in Hong Kong and Mainland China, and the diversity of their behavior, by investigating their motivations, consumption and purchasing behavior and segmenting the sample based on wine knowledge and frequency of consumption to identify three distinct clusters that are then profiled.

Data was collected through an online survey of wine consumers of ethnic Chinese origin residing in Mainland China and Hong Kong, using two methods of recruitment (a convenience sample from wine-related databases, a panel survey undertaken by an international market research firm). The final sample comprised 477 respondents, about equally divided among Mainland Chinese and Hong Kong wine consumers. Analysis of the data using the Statistical Package for Social Sciences for Windows (SPSS) 29 included a series of descriptive analyses, followed by a two-step cluster analysis using an Euclidean distance method.

Wine knowledge and frequency of wine consumption were relatively higher within the sample as a whole than previous studies, but three distinct consumer segments are evident. There is evidence of a democratization of wine consumption, and a greater focus on wine consumption for enjoyment in relaxed and informal settings. rather than consumption driven by health and status, occurring primarily in commercial or business settings. The dominance of red wine in this market is also declining, and intrinsic cues – specifically, prior experience of the wine – are becoming important in wine purchase decisions.

This study uses a broad sample of wine consumers to identify trends in wine consumption patterns and motivations, and purchase decision-making behavior, of Mainland Chinese and Hong Kong wine consumers. The identification of three clusters of wine consumers offers both points of comparison with previous segmentation research globally and within China, whilst also identifying scope for further research.

Why use an artificial intelligence (AI) system to determine crucial, major changes in a post-COVID-19 world? Globalisation is both a system and a process characterised by complexity, that is, a referential in which heterogeneous agents are constantly interacting. It therefore requires an integral and dynamic approach, and even more so a tool in tune with complexity. That is the case of the AI system Mileva, specifically designed for tackling complexity, highlighting the fabric of its reality, its core issues, and to forecast the probabilities of the different possible evolutions. In this chapter, the authors first briefly describe globalisation with regard to complexity, at the crossroads of computational complexity theory and sociological complexity theory (Edgar Morin). The authors then present the AI system Mileva, its key principles and the main lines of its architecture. Finally, the aforementioned points will be illustrated by two examples of analyses provided by Mileva on the issue of major changes in a post-COVID-19 world: the situation of the international organisations and that of the world of work in relation to health, environment, development, and democracy.

The literature argues on ambiguous impacts of different types of the common agricultural policy (CAP) subsidies on farm technical efficiency (TE). The purpose of this paper is to estimate and analyse the TE and the impact of the CAP subsidies on the TE of wine farms in Hungary using the farm accountancy data network data set in the period 2013–2019.

The authors use stochastic frontiers analysis (SFA) models to estimate the TE scores for the Hungarian wine farms with four wine farm-level inputs in terms of agricultural land, labour, capital and intermediate consumption. The TE scores are explained by the CAP subsidies and economic wine farm size. The different SFA models were applied with robustness tests to investigate the drivers of the TE values of wineries.

Like for Hungarian farms in general, the distribution of the wine farm structure is a dual with a greater number of smaller wine farms and a smaller number of bigger wine farms. The agricultural land, capital and intermediate consumption are significantly positively associated with the wine farm TE. With higher capital intensity wine farm TE increase. The results imply that the CAP subsidies decrease the TE of the Hungarian wine farms, whereas economic farm size increase.

To the best of the authors’ knowledge, this is one of the first specific efficiency studies on the wine sector in the Central and Eastern European region and the first one for Hungary to evaluate the TE at wine farm level and to assess the impact of CAP subsidies and economic farm size on wine farm (in)efficiency to apply production technologies and use farm resources. This study is among the first that applied the fixed-effects stochastic frontier model at the wine farm level to measure the drivers of the TE scores.