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This paper is intended to be of interest to those involved in electronic applications of the screen printing process, including PCBs, membrane switches, thick film printing and instrument control panels. In recent years there have been a number of advances in screen printing technology which have significantly increased the capabilities and versatility of the process. Developments have included improvements in performance of screen printing machinery, mesh fabrics, stretching equipment, screen frame design, exposure devices, stencil systems and ink rheology and printability. In spite of these advances, there are many applications in PCB production where screen printing is under‐utilised, despite its cost effectiveness for volume board production when compared with dry film resists. This paper outlines some of the developments which have produced the modern screen stencils, and describes the rôle of mesh and stencil in determining the properties of the final printed result.

The paper reviews U‐V curable screen‐printable etch plating and solder resists, their basic components, principles of U‐V curing, their performance in the liquid as well as in the solid state and their advantages. Also discussed are the basic construction and performance of U‐V curing equipment.

The purpose of this paper is to study the application of the planetary aerogravity‐assist (AGA) technique to the interplanetary transfer mission with low‐thrust engine, and the design and optimization approach of low‐thrust AGA trajectory.

In the research, the transfer trajectory with planetary AGA maneuver is analyzed first, the maximum atmospheric turn angle and the matching condition for AGA trajectory is derived out, which is the significant principle for AGA trajectory design and studies. Then, a design and optimization approach for interplanetary low‐thrust trajectory with AGA maneuver is developed. The complicated design problem is transformed into a parameter optimization problem with multiple nonlinear constraints by using calculus of variations and the matching condition associated with AGA trajectory. Furthermore, since the optimization problem is very sensitive to the launch date and AGA maneuver parameters, three ordinal sub‐problems are reformulated to reduce the sensitivity. Finally, a direct/indirect hybrid approach is utilized to solve these sub‐problems.

The planetary AGA maneuver is feasible and effective in decreasing the propellant consumption and flight time for interplanetary low‐thrust mission and provides better performance than pure planetary gravity assist. Moreover, the proposed approach is effective to design and optimize the low‐thrust transfer mission with AGA maneuver.

In further research, some simple preliminary design approaches for interplanetary low‐thrust trajectory with AGA maneuver are required to developed, which can provide a good initial conjecture for a hybrid optimization algorithm.

The paper provides the matching condition for interplanetary AGA transfer trajectory by analyzing some characteristics of planetary AGA maneuver, and presents an effective approach to design and optimize interplanetary low‐thrust AGA trajectory.

Because of the importance of the wheat industry in the economy, a real-featured performance measurement approach is essential for the wheat production process. The purpose of this paper is to develop a data envelopment analysis (DEA) model that is fully compatible with the wheat production process so that managers and farmers can use it to evaluate the efficiency of wheat farms for strategic decisions.

A dynamic multi-stage network DEA model is developed to evaluate the efficiency of wheat production farms in short-term (two-year) and long-term (eight-year) periods.

The results of this study show that because of the lack of long-term planning and excessive reliance on rain, most of the investigated regions have no stability in efficiency, and the efficiency of the regions changes in a zigzag manner over time. Among studied regions, only the Hashtrood region has high and stable efficiency, and other regions can follow the example of this region's cultivation method.

To the best of the authors’ knowledge, this study is the first one that uses the dynamic multi-stage network DEA considering every other year cultivation method and direct–indirect inputs in the agricultural section.

This study examines the incentives motivating listed companies in Malaysia to voluntarily choose the Direct Method over the Indirect Method in reporting cash flow from operating (CFO) activities in their 1997 annual financial reports following the adoption of the IAS 7 (Revised) Statement of Cash Flows (SCF), which was used prior to the current standard MASB No. 5 Cash Flow Statement promulgated by the Malaysian Accounting Standards Board (MASB) in 1999. Adopting the signalling perspective, the general hypothesis of this study is that the choice of the Direct Method over the Indirect Method in reporting CFO activities is to maximize a firm’s value via engagement in quality signalling to the market. Specifically, it is hypothesised that such decision is influenced by the firm’s level of managerial efficiency, financial risk, size, its auditor, and industry membership. The sample consists of 231 firms listed on the Kuala Lumpur Stock Exchange; 32 firms in the treatment group (Direct Method) and 199 firms in the control group (Indirect Method). Based on the results from the univariate and multivariate analyses, we found all variables to be in the hypothesised directions. However, we infer that the decision to choose the Direct Method for reporting CFO activities in SCF is significantly influenced by the firm’s level of managerial efficiency, size, and its auditor. Thus, there is support for the general hypothesis of maximization of the value of the firm via quality signalling. The authors gratefully appreciate the helpful comments of the discussant and workshop participants at the 11th Asian‐Pacific Conference on International Accounting

Recently, reverse logistics (RL) has become more prominent due to growing environmental concerns, social responsibility, competitive advantages and high efficiency by customers because of expansion of product selection and shorter product life cycle. However, effective implementation of RL results in some direct advantages, the most important of which is winning customer satisfaction that is vital to a firm's success. Therefore, paying attention to customer feedback in supply chain (SC) and logistics processes has recently increased, so manufacturers have decided to transform their RL into customer-centric RL. Hence, this paper aims to identify the features of a mobile phone which affect consumers’ purchasing behavior and to analyze the causality and prominence relations among them that can help decision-makers, policy planners and managers of organizations to develop a framework for customer-centric RL. These features are studied based on analysis of product review sites. This paper's special focus is on social media (SM) data (Twitter) in an attempt to help the decision-making process in RL through a big data analysis approach.

This paper deals with identifying mobile phone features that affect consumer's mobile phone purchasing decisions. Using the DEMATEL approach and using experts' insights, a cause and effect relationship diagram was generated through which the effect of features was analyzed.

Eighteen features were categorized in terms of cause and effect, and the interrelationships of features were also analyzed. The threshold value is calculated as 0.023, and the values lower than that were eliminated to obtain the digraph. F6 (camera), F13 (price) and F5 (chip) are the most prominent features based on their prominent score. It was also found that the F5 (chip) has the highest driving power (1.228) and acts as a causal feature to influence other features.

The focus of this article is on SM data (Twitter), so that experts can understand the interaction between mobile phone features that affect consumer's decision on mobile phone purchasing by using the results. This study investigates the degree of influence of features on each other and categorizes the features into cause and effect groups. This study is also intended to help organizational decision-makers move toward a reverse customer SC.

As tourism development is an unquestionable part of every national growth policy, this study aims to introduce an integrated method employing MICMAC analysis for understanding the key strategic variables of Iran's tourism development system.

The structural analysis with MICMAC method was used to determine the classification of variables, aimed at structuring ideas to deal with complex decision-making and help planners and policymakers formulate future-based strategies.

The cross-impact matrix was used to identify the development variables having the greatest impact on the development of Southeast Asian tourism to Iran. The results showed that among 43 variables, 10 have great potential as key variables in the future of Iran's tourism development.

MICMAC, as a structural analysis technique, is regarded as being the most appropriate to identify the key variables in the development of the Iranian tourism system. The limitation was that the other tourism markets, apart from ASEAN tourists, and the tourism demand-side were excluded from this study.

The present study indicates that identifying key factors that influence the supply side of Iran's tourism system is worthwhile. Consequently, the findings show how these key factors can play a vital role in long-range economic sustainability and lead to the development of Iran's tourism market to enhance globally its competitiveness as a destination to attract international ASEAN tourists.

This study is one of the first papers to focus on the development of Iran's tourism market from a supply-side through structural analysis. Its findings are valuable as they can be used by the tourism authorities in the process of developing future tourism scenarios for Iran.

This paper aims to investigate, a new optimization algorithm for complex orbit transfer missions with low‐thrust propulsion system, which minimizes the drawbacks of traditional optimization methods, such as bad convergence, difficulty of initial guesses and local optimality.

First, the trajectory optimization problem comes down to a nonlinear constraint parameter optimization by using the concept of traditional hybrid method. Then, one utilizes genetic algorithm (GA) to solve this parameter optimization problem after treating the constraints with the simulated annealing (SA) and random penalty function. Finally, one makes use of localized optimization to improve the precision of the final solutions.

This algorithm not only keeps the advantages of traditional hybrid method such as high precision and smooth solutions, but also inherits the merits of GA which could avoid initial guess work and obtain a globally optimal solution.

Further, research is required to reduce the computational complexity when the transfer trajectory is very complex and/or has many adjustable variables.

By using this method, the globally optimal solutions of some complex missions, which could not be obtained by traditional method, could be found.

This method combines the GA with traditional hybrid method, and utilizes SA and random penalty functions to treat with constraints, and then gives out a super convergence way to find the globally optimal low‐thrust transfer orbit.

This study aims to determine essential attributes of sustainable service innovation (SSI) in the Taiwan hospitality industry.

By combining qualitative and quantitative methodologies while considering perspectives on sustainable management and service innovation, the present study extends the related literature on SSI and presents a new framework. The decision-making trail and evaluation laboratory (DEMATEL) analytical approaches are used to identify relations between dimensions and their causality attributes.

The findings of the DEMATEL result indicate that innovation diffusion has direct and indirect effects on dimensions of sustainable innovation and on organizational factors. Furthermore, sustainable innovation emerged as the most important attribute while the analytic network process analysis was used.

The critical dimensions identified in this study may serve as guidelines that hospitality practitioners or hotel managers may use when engaging in SSI.

Sustainability management is ranked the most important criterion of sustainable practice, which indicates that considerations of sustainability are necessary when hospitality managers wish to carry out a sustainability project in an organization. Furthermore, organizational capabilities were ranked the most important criteria among all organizational factors. This finding implies that the first step involves establishing a shared vision.

The current study integrates and applies Rogers’ (2003) diffusion of innovations theory (DIT) to identify how to facilitate sustainability through service innovation. In so doing, this study can add to our knowledge in the hotel industry by using the DIT.

This study aims to empirically analyze the factors influencing digital financial inclusion in China.

Using panel data from 31 provinces in China for the years 2011-2018, the study constructed spatial econometric models for regression analysis at the national and regional levels.

Economic development, government intervention, internet penetration and the development of the credit level significantly affected the development of digital financial inclusion in China. However, the specific influence of the various factors varied by province. Provinces with less-developed economies generally had weaker economic foundations and underdeveloped digital financial services, making it more difficult to fully achieve digital financial inclusion.

Relevant government policies should strengthen digital infrastructure and improve the organizational systems and services of digital finance to support the balanced development of digital financial services in China.

China’s e-commerce development has been at the global forefront for decades, which suggests digital financial inclusion is also well-placed for strong development in China. However, quantitative research on the digital financial inclusion index has remained insufficient in China and worldwide, with most research ignoring the status of different development levels in a different region. To address this gap in the literature, this study empirically researched the status, regional differences and causes associated with these differences that impact digital financial inclusion in China.