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This study aims to accurately calculate the magnetic field distribution, which is a prerequisite for pre-design and optimization of electromagnetic performance. Accurate calculation of magnetic field distribution is a prerequisite for pre-design and optimization.

This paper proposes an analytical model of permanent magnet machines with segmented Halbach array (SHA-PMMs) to predict the magnetic field distribution and electromagnetic performance. The field problem is divided into four subdomains, i.e. permanent magnet, air-gap, stator slot and slot opening. The Poisson’s equation or Laplace’s equation of magnetic vector potential for each subdomain is solved. The field’s solution is obtained by applying the boundary conditions. The electromagnetic performances, such as magnetic flux density, unbalanced magnetic force, cogging torque and electromagnetic torque, are analytically predicted. Then, the influence of design parameters on the torque is explored by using the analytical model.

The finite element analysis and prototype experiments verify the analytical model’s accuracy. Adjusting the design parameters, e.g. segments per pole and air-gap length, can effectively increase the electromagnetic torque and simultaneously reduce the torque ripple.

The main contribution of this paper is to develop an accurate magnetic field analytical model of the SHA-PMMs. It can precisely describe complex topology, e.g. arbitrary segmented Halbach array and semi-closed slots, etc., and can quickly predict the magnetic field distribution and electromagnetic performance simultaneously.

Growing evidence asserts that individuals are inclined to buy impulsively in the social commerce environment due to interactive elements. However, extant literature does not reveal the influence of emerging digital celebrities and their communities on impulse buying, although users may encounter them synchronously. Hence, this study explores the impact of parasocial relationships and social climate on impulse buying following the stimulus–organism–response framework with the incorporation of the urge to buy. Besides, this research investigates the role of hedonic and utility gratification-seeking behavior in parasocial relationships following uses and gratifications theory (UGT).

An empirical research study was conducted on Facebook, and data were collected from Pakistani users who followed digital celebrities. Partial least squares structural equation modeling (PLS-SEM) approach was employed to analyze the valid data of 231 respondents.

The results indicate that integrated constructs significantly influence impulse buying with complementary partial mediation of urge to buy. Besides, social climate significantly interacts the relationship of parasocial relationships and impulse buying. Further, passing time, enjoyment and information seeking has a significant impact on parasocial relationships, except for self-presentation.

This research provides key knowledge to comprehend the overall phenomenon of emerging digital celebrities through the integration of their parasocial relationships and the social climate of their communities, with potential intervening and interaction effects. This study also unveils the role of gratifications in building digital celebrities' parasocial relationships.

In an attempt to satisfy the desire to become a global economic leader, China is working on a series of ambitious deals with several countries. As a major country in a region considered as an emerging market, the immense infrastructure gap that is curtailing trade and accessibility for economic growth has led to major changes in economic policy. The past few decades have seen China invest billions of dollars not only in the developing countries of Africa and Asia but also in other world economic giants of Europe and the USA. China has embarked on a rigorous global effort to close the infrastructure gap through the Belt and Road Initiative (BRI) in partnership with multilateral development banks. China’s BRI brings together several countries in East Asia and the Eurasian mainland into close proximity with China, thereby promoting inland trade between the countries. The investments in this project are estimated to reach US$1tn over a span of ten years. However, the volume of outward foreign direct investments (OFDI) from China to the host countries is determined by several factors. Several previous researchers have studied various issues affecting the business activities of China and the given countries. First, the cultural organization, policy approaches and objectives of China as a country create trade barriers with countries involved in the BRI plan. This paper aims to provide a comparative overview of how the institutional distance of the Belt and Road countries from China affects their sustainable development.

Data on the nature, success and challenges of the BRI (such as the volume of bilateral trade and OFDIs and its financial implications) were extracted from various published studies. The impact of cultural distance and internationalization of the BRI enterprise was analyzed through a comparative research methodology.

A significant relationship exists between institutional distance and sustainable development of the Belt and Road countries. However, the barriers – for example, inhospitable culture and regulations for organizations in participating countries – could become pillars of success once resolved.

Previous studies lacked a standard framework to investigate how institutional distance is related to China’s outbound trade with the Belt and Road countries. The comparative analysis methodology adopted in this study fills this gap.

Enterprise resource planning (ERP) systems that are equipped with numerous features and functionalities help to improve the profitability of construction corporations around the world through enhancing the efficiency of the functions related to cost management. Thus, the purpose of this study was to investigate the applicability of ERP systems for cost management of building construction projects in Sri Lanka.

A qualitative technique was used in this study, which comprised two-round Delphi-based semistructured interviews. Purposive sampling was used to determine the interviewees. Content analysis was used to evaluate the collected data.

The findings of this study identified the ERP system as a strategic tool for gaining a competitive advantage for an organization while confirming 14 uses of ERP systems and 16 stages of the cost management process. Eighteen issues were finalized at the end of the interview rounds while categorizing the suitable ERP applications at each stage of the cost management process.

Even though there are numerous distinct studies conducted on cost management and ERP systems, there has been a lack of studies conducted on the synergy between these two areas that can be adapted for the building projects in the Sri Lankan context. Therefore, the findings of this study can bring a new paradigm to the Sri Lankan construction sector by influencing the adaption of correct ERP systems at numerous project stages by providing a competitive edge.

Catechu liquor, which is deep brown-red in color, was purified with a micro-filtration membrane and the stability of catechu dye to different levels of temperatures and pH were investigated in this paper. The effects of the dyeing conditions on color characteristic values and color fastnesses of the dyed wool fabrics were also investigated. The results show that the liquor of catechu dye is stable at pH values of 3-7 and its color changes to a deeper brown-red when its pH value is above 8. The preferable dyeing conditions for wool fabric with refined powder catechu dye are as follows: dyeing temperature of 100±C, pH value of 6.5 for the dye bath and catechu dye of 1-4% (o.w.f).

The dyed wool fabric has good color fastnesses to washing, alkali perspiration and dry rubbing. However, its color fastness rating to wet rubbing is poor, ranging from 2-3. Further research will be needed on this aspect.

While the peer effects of technology adoption are well established, few studies have considered the variation in peer effects resulting from the mutual proximity between leaders and followers and the heterogeneity of farmers' learning technology. This study addresses the gap in the literature by analyzing the peer effects of technology adoption among Chinese farmers.

Drawing on a government-led soil testing and formulated fertilization program, this study uses survey data of farmers from three Chinese provinces to examine the peer effects of technology adoption. This study uses a probit model to examine how mutual proximity influences peer effects and their heterogeneity. Accordingly, farmers were divided into two groups, namely small- and large-scale farmers, and then into leaders or followers depending on whether they were selected by the government as model farmers.

Both small- and large-scale farmers are more likely to use formula fertilizer if their peers do so. However, a large-scale farmer is more likely to adopt formula fertilizer if the average adoption behavior of other large-scale model (leader) farmers is higher, while a small-scale farmer is more likely to adopt formula fertilizer if other small-scale non-model (follower) farmers have higher average adoption behavior. Moreover, the peer effect was weakened by geographic distance among small-scale farmers and by economic distance among large-scale farmers.

This study elucidates the means of optimizing social learning and technology adoption among farmers.

The purpose of this paper is to estimate the elasticities of demand for different dairy products, such as fresh milk, powdered milk and yoghourt, in urban China.

The household survey data are drawn from the annual Urban Household Survey in a Chinese province from 2007 to 2009 by applying a three-stage budgeting approach with zero consumption.

The major findings show that fluid milk is the most popular dairy product among urban households in Guangdong province, China. Demand for fresh milk is price elastic with the highest value being −1.043, indicating that price-cutting promotion programs could be carried out by dairy enterprises to increase dairy consumption. With improvements in the living standards, the demand for dairy will lead to an expansion in the size of the dairy market and will simultaneously open up new development opportunities for dairy enterprises.

This study adopts an Almost Ideal Demand System model inserted into inverse Mills ratios in the third stage to resolve the common problem of obtaining censored data on zero consumption observations. The research findings will provide a reference for policy makers and for enterprises in developing some price-cutting promotion programs.

Managers of megaprojects face social risk management challenges throughout the various design, construction, and operation stages, owing to the various conflicts of interest among stakeholders, public skepticism, and opposition. However, most existing studies have not focused on the dynamic analysis of integrating social risks in these stages. This study developed a dynamic analysis approach to explore the dynamics of critical social risk factors and related stakeholders of megaprojects and built the managerial maps for various stakeholders.

Based on the social analysis network (SNA), a dynamic network analysis approach for understanding the dynamics of social risk and related stakeholders has been developed by literature and case analysis. The approach comprises the following steps: (1) generating social risk–stakeholder networks in different stages; (2) analysis of the critical stakeholders and social risk factors; (3) dynamic analysis of social risk factors; and (4) developing social risk management maps for various stakeholders. To verify the feasibility and effectiveness of the approach, 40 megaprojects from China were analyzed.

According to the results, the local government is a critical stakeholder during all stages, inadequate information promotion (IIP) and imperfect communication and coordination mechanism (ICCM) are key social risk sources throughout the megaproject life cycle. Furthermore, the management maps for government organizations, project implementation groups, and external stakeholders were constructed.

This research has three contributions. First, a dynamic analysis approach of stakeholder-associated social risks in megaprojects is developed, which enriches the social risk management theory of megaprojects and provides inspiration for future research focus. Second, the social risk–stakeholder networks and critical social risks in different stages are confirmed to provide a more valid and accurate picture of social risk management in megaprojects. Third, the social risk managerial maps for different stakeholders built in this research will be beneficial for governments, project implementation groups, and external stakeholders to optimize management strategies.

The purpose of this paper is to extend the current literature on trust-building mechanisms in e-commerce and provide a comprehensive view of how the perceived usefulness of three types of online trust-building mechanisms affects trust in the e-seller and trust in the e-marketplace, which, in turn, shape the customer repurchase intentions.

Survey data were collected from 193 eBay customers to test the proposed research model.

The study found that the perceived usefulness of seller-based mechanism affects both trust in the e-marketplace and trust in the e-seller. Meanwhile, the perceived usefulness of experience-based mechanism only influences trust in the e-seller and the perceived usefulness of institution-based mechanism (IBM) only affects trust in the e-marketplace. Furthermore, this study found that trust in the e-marketplace can substitute for the effect of trust in the e-seller on customer repurchase intentions.

In an e-marketplace like eBay that does not involve much in the transaction process, e-sellers should invest more resources in building attractive and informative websites about their products and organizations. Moreover, e-marketplace owners should provide guidelines and enforce policies to improve the perceived usefulness of an IBM to increase an e-marketplace’s credibility. While such e-marketplace credibility does not affect customer repurchase intentions directly, it reduces customer concerns about individual e-sellers, which makes it easier for e-sellers to retain customers.

This study delineates how the perceived usefulness of three types of online trust-building mechanisms imposes different effects on trust in the e-marketplace and trust in the e-seller. Moreover, this study reveals the intertwined relationship between trust in the e-marketplace and trust in the e-seller that is different from extant studies conducted in marketplaces like Amazon.