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The metallic alloys and their components fabricated via laser powder bed fusion (LPBF) suffer from the microvoids formed inevitably due to the extreme solidification rate during fabrication, which are impossible to be removed by heat treatment. This paper aims to remove those microvoids in as-built AlSi10Mg alloys by hot forging and enhance their mechanical properties.

AlSi10Mg samples were built using prealloyed powder with a set of optimized LPBF parameters, viz. 350 W of laser power, 1,170 mm/s of scan speed, 50 µm of layer thickness and 0.24 mm of hatch spacing. As-built samples were preheated to 430°C followed by immediate pressing with two different thickness reductions of 10% and 35%. The effect of hot forging on the microstructure was analyzed by means of X-ray diffraction, scanning electron microscopy, electron backscattered diffraction and transmission electron microscopy. Tensile tests were performed to reveal the effect of hot forging on the mechanical properties.

By using hot forging, the large number of microvoids in both as-built and post heat-treated samples were mostly healed. Moreover, the Si particles were finer in forged condition (∼150 nm) compared with those in heat-treated condition (∼300 nm). Tensile tests showed that compared with heat treatment, the hot forging process could noticeably increase tensile strength at no expense of ductility. Consequently, the toughness (integration of tensile stress and strain) of forged alloy increased by ∼86% and ∼24% compared with as-built and heat-treated alloys, respectively.

Hot forging can effectively remove the inevitable microvoids in metals fabricated via LPBF, which is beneficial to the mechanical properties. These findings are inspiring for the evolution of the LPBF technique to eliminate the microvoids and boost the mechanical properties of metals fabricated via LPBF.

Among U.S. children, research indicates that early childhood experiences, including the child care environment, affect later educational outcomes. Yet, research on educational stratification in low-income countries rarely features the preschool years. We investigate the organization of child care among preschoolers in China. In-depth interviews reveal that grandmother care and formal care are highly desirable. Formal care, in particular, is perceived to provide educational advantage. Using China Health and Nutrition Survey (CHNS) data, and mixed random effects logit models, we explore the determinants of grandmother care and formal care. Results suggest poverty is associated with gender bias; in low-income households, boys without siblings are especially likely to receive formal care. These results call for greater attention to early childhood in research on educational stratification in China and other low-income settings.

This paper aims to present a simplified solution method for the elasto-plastic consolidation problem under different stress paths.

First, a double-yield-surface model is introduced as the constitutive model framework, and a partial derivative coefficient sequence is obtained by using numerical approximation using Gauss nuclear function to construct a discretization constitutive model which can reflect the influence of different stress paths. Then, the model is introduced to Biot’s consolidation theory. Volumetric strain of each step as the right-hand term, the continuity equation is simplified as a Poisson equation and the fundamental solution is derived by the variable separation method. Based on it, a semi-analytical and semi-numerical method is presented and implemented in a finite element program.

The method is a simplified solution that is more convenient than traditional coupling stiffness matrix method. Moreover, the consolidation of the semi-infinite foundation model is analyzed. It is shown that the numerical method is sufficiently stable and can reflect the influence of stress path, loading distribution width and some other factors on the deformation of soil skeleton and pore water pressure.

Original features of this research include semi-numerical semi-analytical consolidation method; pore water pressure and settlements of different stress paths are different; maximum surface uplift at 3.5a; and stress path is the main influence factor for settlement when loading width a > 10 m.

Mobile payment (m-payment) has existed for over 25 years; however, there is no standard framework to guide scholars and practitioners in advancing m-payment research in the digital accelerated era. With this, this study aims to develop an m-payment framework and to analyse the evolution of m-payment research from 1997 to 2021. These were achieved by identifying the motor themes, basic and transversal themes, the emerging/declining themes and the highly developed but isolated themes. In addition, the publication trends of m-payment research were also identified.

A total of 1,999 articles of m-payment were identified from the Scopus database and 8,125 keywords were grouped into 483 word groups for the co-word analysis. Thematic networks were generated based on density and centrality. Performance analysis was performed on the themes of the four quadrants in the strategic diagrams. The m-payment framework was then developed based on the evolution map and a practical guide was built from the framework.

The m-payment framework consists of four dimensions, namely behaviour, technology, risk, and context. Some themes were declining while at the same time, m-payment remains strongly relevant and can stand the test of time. Several new themes have emerged in the 2013–2021 sub-periods.

This study is limited in that the study only investigates from the context of m-payment.

This study has provided a research framework (i.e. the m-payment framework) with a practical guide for scholars and practitioners to refer to, thus enabling them to embark on future studies without any hassle. The m-payment framework was developed based on empirical data using science mapping analysis of 1,999 articles.

The proposed m-payment research framework contributes towards more understanding of m-payment ten, usage amongst consumers and thus will help to reduce the rate of COVID-19 infection because m-payment is a contactless payment. Hence, the study may help in creating a safer and healthier society amid the unprecedented pandemic.

This study developed the m-payment framework based on empirical co-word analysis. A practical guide to extending the framework is also provided to guide the scholars and practitioners. Moreover, the evolution map for m-payment was created to understand the evolution of m-payment research. Practitioners may conduct market studies to unveil the factors that contribute to consumers' behaviours in m-payment in order to gain more understanding of the reasons behind their behaviours.

In today’s Taiwan, sha-cha sauce is an indispensable ingredient for beef hot pot and stir-fried dishes. The purpose of this paper contextualizes the history of sha-cha sauce in Tainan, the oldest city in Taiwan, and argues that sha-cha sauce, introduced by Chaoshan immigrants, has contributed to new styles and habits of beef consumption tastes and habits in the post-1949 Tainan and beyond.

This paper uses documentary materials, oral interviews and diaries to explore the relationship between beef consumption and sha-cha sauce. It begins with an historical overview of Taiwan’s beef consumption during the Japanese colonial era (1895-1945). Then, it focuses on two Chaoshan business enterprises: the Bull-Head, which makes the world’s largest “canned sha-cha sauce,” and the Xiao Haozhou, a Tainan restaurant specializing in sha-cha beef hot pot. Finally, this study analyzes Xinrong Wu, a Tainan gentry whose diary entries from 1933 to 1967 documented the changing dietary habits of beef consumption among Taiwanese.

The Chaoshan migrants played an important role in introducing the sha-cha sauce to postcolonial Tainan, and this input bolstered the beef consumption among Taiwanese. The production of sha-cha provided a reliable source of income for these migrants in Tainan, and major businesses like the Bull-Head became the international brands of Taiwanese food products.

The study, though limited to Tainan, reveals the symbiosis between popularization of sha-cha sauce and widespread beef consumption in Taiwan.

This study helps researchers examine the connection between Chinese migrations and food culture.

This paper is an original scholarly investigation of the relationship between food diet and Chaoshan migration in postcolonial Tainan.

This study aims to investigate the impact of theory of planned behavior (namely, attitude, subjective norm and perceived behavioral control) on recycling intention, as well as the relationship between recycling intention and behavior in one of the top five universities in Malaysia. In addition, the mediation effect of recycling intention on the relationships is investigated.

A total of 180 responses were collected using online survey that distributed via Google Form. SmartPLS was used for data analysis via outer and inner model assessment. The assessments include construct reliability, validity and hypotheses testing.

The findings indicated that attitude, subjective norm and perceived behavioral control have a positive and significant relationship with students’ recycling intention. Besides, students’ recycling intention is positively related to actual recycling behavior. Additionally, this study also discovered that recycling intention mediates the relationship between attitude and recycling behavior, between subjective norm and recycling behavior, as well as between perceived behavioral control and recycling behavior.

The result of the study may serve as a guide for universities or higher education institutions to design effective recycling campaigns to promote the campus sustainability.

Universities are in a crucial position to make a huge impact when they recycle. In Malaysia, there is still a lack of high concern of universities toward green and sustainability concept. This paper fulfils the gap to study how recycling behavior can be enabled.

In spite of the vehicle, magnetic field interference can be reduced by some measures and techniques in ammunition design and manufacturing stage, the corruption of the vehicle magnetic field can still reach hundreds to thousands of nanoteslas. Besides, the magnetic field that the ferromagnetic materials generate in response to the strong magnetic field in the vicinity of the body. So, a real-time and accurate vehicle magnetic field calibration method is needed to improve the real-time measurement accuracy of the geomagnetic field for spinning projectiles.

Unlike the past two-step calibration method, the algorithm uses a linear model to calibrate the magnetic measurement error in real-time. In the method, the elliptical model of magnetometer measurement is established to convert the coefficients of hard and soft iron errors into the parameters of the elliptic equation. Then, the parameters are estimated by recursive least square estimator in real-time. Finally, the initial conditions for the estimator are established using prior knowledge method or static calibration method.

Studies show the proposed algorithm has remarkable estimation accuracy and robustness and it realizes calibration the magnetic measurement error in real-time. A turntable experiments indicate that the post-calibration residuals approximate the measurement noise of the magnetometer and the roll accuracy is better than 1°. The algorithm is restricted to biaxial magnetometers’ calibration in real-time as expressed in this paper. It, however, should be possible to broaden this method’s applicability to triaxial magnetometers' calibration in real-time.

Unlike the past two-step calibration method, the algorithm uses a linear model to calibrate the magnetic measurement error in real-time and the calculation is small. Besides, it does not take up storage space. The proposed algorithm has remarkable estimation accuracy and robustness and it realizes calibration the magnetic measurement error in real time. The algorithm is restricted to biaxial magnetometers’ calibration in real-time as expressed in this paper. It, however, should be possible to broaden this method’s applicability to triaxial magnetometers’ calibration in real-time.

On the basis of social identity theory, this paper aims to predict and test the influence of abusive supervision on service employees’ proactive customer service performance (PCSP) in the hotel industry.

Data were collected from 198 service employee-coworker dyads from 12 hotels in China. Previously developed and validated measures of abusive supervision, organizational identification, collectivism and PCSP were used and found to be highly reliable in this study.

Time-lagged data from 12 hotels in China reveal that abusive supervision negatively influences service employees’ PCSP, through organizational identification. In addition, employees’ collectivistic value orientation also strengthens the negative relationship between abusive supervision and organizational identification. These findings have several theoretical and managerial implications, especially for hospitality context.

First, the study suggests that hotels should design supervisors’ selection, training and monitoring to reduce mistreatment, which could be highly costly to employees’ identification and hence proactive behaviors. In addition, hotel supervisors are encouraged to learn to regulate their emotions by developing emotional management skills and interpersonal skills. Second, because collectivists are more likely to be affected by abusive supervisors, organizations should pay special attention to them by allocating more supportive resources, providing psychological comfort and expert counseling. Finally, hotels and managers should seek to meet individuals’ basic needs by fostering positive relationships between supervisors and employees, offering favorable treatment and connecting an organization’s goals with employees’ individual values. By doing so, employees’ organizational identification will be enhanced and hence contribute to PCSP.

First, scarcely any study has focused on negative types of leadership styles and how they affect employees’ PCSP. The authors address the research gap by extending the antecedent scope of PCSP to dark side management and provide empirical evidence about the suppressing effects of abusive supervision on PCSP. Second, the focus on organizational identification provides a new extension for social identity theory in application for incurring employees’ proactive behaviors. Third, this study provides a novel contribution by suggesting that the level of collectivism an employee holds can exacerbate the salience of abusive supervision.

Given the emerging nature of integrating blockchain into food traceability systems, this study aims to investigate the intention to participate in a blockchain-based Halal traceability system through a united model that consists of Halal orientation strategy, institutional theory and diffusion of innovation theory.

A sample that consists of 143 Malaysian Halal food and beverage manufacturers was drawn from Halal Malaysia Official Portal using the simple random sampling technique. The responses were collected from the key managerial personnel with experience and knowledge on the Halal supply chain using phone interviews. Subsequently, the partial least squares structural equation modelling approach was then used to analyse the theoretical model.

The manufacturers would go through a chain of the process before deciding to participate in the traceability system. Firstly, the manufacturers which practice a comprehensive Halal orientation strategy will be more perceptive towards the institutional pressures that demand them to participate in a traceability system. Secondly, in response to the pressures, the manufacturers would evaluate the technological characteristics of the system and subsequently develop their perceived desirability. Thirdly, the manufacturers with favourable perceived desirability shall decide to participate in the system.

This study advances the current literature of Halal supply chain, information systems, operations management and blockchain through an integrated model that could explain 73.19% of the variance in intention to participate.

The purpose of the present research is to examine the underlying motivations of food and beverage (F&B) hotel managers towards their intentions to implement food wastage initiatives in the Indonesian hotel sector.

Using in-depth personal interviews with 26 F&B managers, this study employed the theory of planned behaviour (TPB) to explain F&B managers' intentions towards implementing food wastage initiatives.

The study findings revealed prevailing constraints (such as lack of resources and rigid menu design) preventing them from carrying out their food wastage plan. There was evidence of disparity between who the F&B managers perceive about as important (injunctive norms) and supportive about their food wastage initiatives as compared to the perceived actual behaviour (descriptive norms) of these important reference groups. One such discrepancy is where respondents believe that senior management is important and would support their food wastage initiatives, but the senior management themselves do not allocate resources to combat food wastage.

The findings have important implications for hoteliers to rethink and motivate hotel employees to carry out food wastage initiatives effectively with a more synchronized approach between different management levels.

This is the first paper to examine the discrepancy between injunctive and descriptive norms between middle and senior management in hotels. A key theoretical contribution to the body of knowledge is the fractionation of injunctive and descriptive norms to understand subjective norms in TPB elicitation research.