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This paper aims to identify a variety of binary system solders by alloying, and relevantly derive multiple system Pb-free solders from the former, attempting to replace the high temperature Sn-Pb solder.

The basis of the paper is the synthesis of previous studies. In terms of some binary high temperature solder alloys, such as Au-20Sn, Bi-2.5Ag, Sn-5Sb, Au-12.5Ge, Zn-6Al and Zn-Sn, taking the alloy phase diagram as the starting point, the melting characteristics, microstructure, mechanical properties, wetting ability and reliability of solder joint are analysed and the prospect is consequently indicated.

Based on the analysis of the six groups of Pb-free solders, the present binary system solder alloys, from the perspective of melting properties, mechanical properties, soldering or reliability of solder joint, rarely meet the comprehensive requirements of replacing the high-temperature Sn-Pb solder. It is assumed to be a solution that multiple-system Pb-free solders derive from a variety of binary system solders by means of alloying. The future development of high temperature Pb-free solder may focus on some factors such as physical properties, mechanical properties, processing, reliability of solder joint, environmental performance and expense.

The paper concentrates on the issue of Pb-free solders at high temperature. From a specific perspective of binary system solders, the presently available Pb-free solders are suggested from the starting point of the alloy phase diagram and the prospect of alternatives of Sn-Pb solders at high temperature are indicated.

In keystroke‐based authentication systems, an input device to enter a password is needed. Users are verified by checking the validity of the password and typing characteristics. However, some devices have no standard desktop keyboard such as personal digital assistants and mobile phones. With these types of electronics, the system cannot successfully work in the authentication phase while the registration process is implemented based on a computer keyboard. This results in a reduction of system portability. The purpose of this paper is to employ the rhythm clicked by a mouse as another identifiable factor to authenticate a user's identity.

Mouse click can be replaced by a stylus and fingers on touch screens or numeral buttons on mobile phones. A total of 25 users participated and the click data are based on time instances of pressing and releasing the mouse button, which are captured while the user clicks a rhythm. Three features are calculated using these click data, and a reasonable amount of results with neural networks and other classifiers shows the click characteristics are able to function as another identifiable factor.

A reasonable amount of results with neural networks and other classifiers shows the click characteristics are able to function as another identifiable factor.

The paper presents a personalized rhythm click‐based authentication system.

The purpose of this paper is to develop and validate a multi-dimensional instrument to measure e-learning blog satisfaction (ELBS).

This study introduces and defines the construct of ELBS, provides an empirical validation of the construct and its underlying dimensionality, develops a generic ELBS instrument with desirable psychometric properties, and investigates the instrument's theoretical and practical applications.

After analyzing data from a calibration sample (n=238) and a validation sample (n=226), this study proposes a five-factor, 20-item ELBS instrument.

This empirically validated instrument will be useful to researchers in terms of developing and testing blog-based learning theories, as well as to educators in terms of understanding students’ ELBS and promoting the use of blog-based learning systems.

This study is a pioneering effort to develop and validate a multi-dimensional instrument to measure ELBS.

The purpose of this study is to propose a hybrid system to combine the self‐organizing map (SOM) of a neural network with the data‐mining (DM) method for course recommendation of the e‐learning system.

This research constructs a hybrid system with artificial neural network (ANN) and data‐mining (DM) techniques. First, ANN is used to classify the e‐Learner types. Based on these e‐Learner groups, users can obtain course recommendation from the group's opinions. When groups of related interests have been established, the DM will be used to elicit the rules of the best learning path. It is ideal for this system to stimulate learners' motivation and interest. Moreover, the hybrid approach can be used as a reference when learners are choosing between classes.

In order to enhance the efficiency and capability of e‐learning systems, the SOM method is combined to deal with cluster problems of DM systems, SOM/DM for short. It was found that the SOM/DM method has excellent performance.

This research is limited by the fact that its participants are from a business college of a university in Taiwan, and it is applied by SOM/DM to recommend courses of e‐learners. This research is useful in the domain of the e‐learning system.

The results of this research will provide useful information for educators to classify their e‐learners or students more accurately, and to adapt their teaching strategies accordingly to retain valuable e‐learners subject to limited resources. The experiments prove that it is ideal to stimulate learners' motivation and interest.

The aims of this study are to (1) evaluate physicians and nurses' perspectives on patient safety culture amid the COVID-19 pandemic and (2) integrate the emotional exhaustion of physicians and nurses into an evaluation of patient safety culture to provide insights into appropriate implications for medical care.

Patient safety culture was assessed with the Chinese version of the Safety Attitudes Questionnaire. Confirmatory factor analysis was conducted to validate the structure of the data (i.e. reliability and validity), and Pearson's correlation analysis was performed to identify relationships between safety-related dimensions.

Safety climate was strongly associated with working conditions and teamwork climate. In addition, working conditions was highly correlated with perceptions of management and job satisfaction, respectively. It is worth noting that the stress and emotional exhaustion of the physicians and nurses during this epidemic were high and needed attention.

For healthcare managers and practitioners, team-building activities, power of public opinions, IoT-focused service, and Employee Assistance Programs are important implications for inspiring the patient safety-oriented culture during the period of the COVID-19 pandemic.

This paper considers the role of emotional state into patient safety instrument, a much less understood but equally important dimension in the field of patient safety.

The purpose of this paper is to investigate the impact of corporate internationalization, governance structures, and legal protections on the foreign earnings response coefficient (FERC). The FERC is a measure of the value‐relevance of foreign earnings.

Data were collected on 3,653 Taiwanese firms which had overseas investments. The authors examined the impact of the site of their overseas investments and the nature of the legal code of the investee country on the investor perceptions of firms' reported foreign and domestically‐generated earnings. Also examined was the impact of corporate governance arrangements (e.g. the difference between the owners' cash flow and voting rights) on the same components of the firms' earnings.

The empirical findings suggest that an aggressive internationalization strategy (foreign direct investment) has positive effects on the value relevance of foreign earnings, but that this strategy is impacted by the firm's own corporate governance arrangements and the target of its overseas investment efforts. While foreign investments bring about growth and profits, they expose the investors to the risk of expropriation by investee countries and corporate insiders.

The importance of the findings is that they should help regulatory agencies – and firms themselves – to better understand factors that can promote the global expansion of domestic enterprises.

The logistics industry has benefited hugely from the growth of e-commerce. The logistics and transportation industry operators have realized that higher-quality service and logistics management provides the competitive edge as the primary channel of communication with consumers. Digital voice assistants (DVA) is an information system based on an artificial intelligence framework that can interact through voice, such that a deliveryman can query for or use information in a relatively short time. The purpose of this paper is to explore the value of DVA in logistic service.

This study aims to develop a framework for innovation and logistics service capabilities of logistics and transportation services to structure a model based on the analysis hierarchy process method to discuss the factors considered when adopting DVA.

The results of this study implied that common problem and expectations of current operators in the delivery of goods and their expectations of DVA.

Innovative operations and planning are possible with information technology-enabled logistic services. It is important to identify relevant DVA development avenues.

The purpose of this study is to show which factors are significant to the logistics and transportation industry using DVA to aid the deliverymen, and it provides guidance for manager evaluating adopted DVA and its object.

The purpose of this paper is to examine whether socially responsible firms behave differently from other firms in terms of financial risk using US-based firms from 1991 to 2012.

The authors used the KLD social performance rating scores as the measure of corporate social responsibility (CSR) performance and obtained an initial sample of 38,158 firm-year observations from 1991 to 2012. The authors obtained the monthly consensus earnings forecast for fiscal year one and the monthly dispersions for these earnings forecasts from I/B/E/S, and the bond spread from DataStream database. Specifically, the authors question whether firms that exhibit CSR obtain market approval to reduce financial risk, thereby providing investors and regulators with more reliable and transparent financial information, as opposed to firms that do not meet the same criteria.

The authors find that social responsible firms usually perform better in terms of their credit ratings and have lower credit risk, in terms of loan spreads when compared to corporate bond spreads, and in terms of distance to default. The results control for various measurements for CSR and time periods, consider various CSR dimensions and components, and use alternative proxies to improve the quality of financial risk estimates.

The findings demonstrate the importance of considering both positive and negative CSR performance. Positive CSR ratings are associated with reduced financial risk while negative CSR performance scores lead to increased financial distress. Investors respond to positive CSR ratings.

Consumer-generated online product reviews (OPRs) have become a crucial source of information for consumers; however, OPRs are increasingly being incentivized. The purpose of this paper is to find a method of sponsorship and disclosure that could be considered ethically sound.

This study adopted a quasi-experimental approach to clarifying how the method of sponsorship impacts reader perceptions of OPRs in terms of helpfulness, credibility and purchase intention. Two experiments were performed on an online platform using data from 480 participants. Hypotheses were tested using analysis of covariance.

Meaning under the premise that sponsorship information is disclosed and not withheld from the readers, Study 1 revealed that experiential sponsorship is the best sponsorship. Study 2 revealed that featuring reviewers with greater influence in the online community increases the positive influence of disclosing experiential sponsorship on OPR persuasiveness.

The findings in this study provide rational incentives for firms to disclose sponsorship information, i.e. demonstrate high ethical standards in marketing. This was shown to create a win-win-win situation for consumers, firms and reviewers. Managerial implications for online marketing managers are also discussed.

The purpose of this paper is to identify and examine the antecedents and consequence of regional animosity and their impacts on regional media preference.

Computer-assisted telephone interviews were conducted with randomly selected adult residents in Northern (206) and Southern (201) Taiwan. The data were analyzed using structural equation modeling in LISERAL and fuzzy-set qualitative comparative analysis.

The findings reveal that perceived economic threat, economic hardship and dissatisfaction with government economic policy increase home region identification and perceived discrimination, which in turn lead to heightened animosity toward the opposite foreign region. This increasing animosity then affects consumer choice over home region media compared to media originated from the other region.

The findings suggest that military and political tensions alone cannot explain why consumers would harbor animosity between one region and another within the same country due to social and economic reasons. The constructs chosen in this research should be seen only as a snapshot but other variables such as a region’s natural environment and its human factors are not taken into account. Future studies would benefit from inclusion of these variables and a wider geographical scope.

Several implications are extracted to help marketing and branding personnel better shape their marketing, communication and media strategies, as well as to help government policy makers and political parties revise existing policy to reduce the animosity.

By investigating animosity within borders, this study provides fresh insights to help explain how economic factors contribute to increased regional animosity through the mediating effect of regional identification and perceived discrimination. The findings broaden existing understanding about the concept of animosity and its impact on consumer behavior.