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An emerging body of literature has pinpointed the role of supply chain structure in influencing the extent to which supply chain members disclose information about their internal practices and performance. Nevertheless, empirical research investigating the effects of firm-level relational embeddedness on network-level transparency still lags. Drawing on social network analysis, this research examines the effect of relational embeddedness on supply chain transparency and the contingent role of digitalization in the context of environmental, social and governance (ESG) information disclosure.

In their empirical analysis, the authors collected secondary data from the Bloomberg database about 2,229 firms and 14,007 ties organized in 107 extended supply chains. The authors employed supplier and customer concentration metrics to measure relational embeddedness and performed multiple econometric models to test the hypothesis.

The authors found a positive effect of supplier concentration on supply chain transparency, but the effect of customer concentration was not significant. Additionally, the digitalization of focal firms reinforced the impact of supplier concentration on supply chain transparency.

The study findings contribute by underscoring the critical effect of relational embeddedness on supply chain transparency, extending prior literature on social network analysis, providing compelling evidence for the intersection of digitalization and supply chain management, and drawing important implications for practices.

The online-to-offline (O2O) business is developing rapidly and is highly popular in many countries. Nevertheless, O2O suffers from a large number of customer complaints that result in consumer loss. Focusing on the O2O context, this study integrates expectation disconfirmation theory (EDT) and justice theory to investigate consumers' dissatisfaction toward O2O websites.

A research model was proposed and tested using 329 survey responses.

Results show that the identified website disconfirmation and offline service disconfirmation could lead to consumer dissatisfaction. Importantly, the impacts of disconfirmation factors are contingent upon the justice perception of consumers. When a transaction is perceived as unfair, website disconfirmation arouses a higher level of dissatisfaction, and the negative emotions could transfer from O2O and damage the website's reputation.

This study explores the continuance intentions of customers toward O2O websites from a dissatisfaction perspective, with insights for future service studies and O2O service managers.

The purpose of this paper is to better understand how interorganizational relationships influence information and communications technology (ICT)-enabled supply chain (SC) interactions of small- and medium-sized enterprises (SMEs) in developed versus developing economies through the theoretical lens of transaction cost economics and social exchange theory.

The paper uses case study data to examine SMEs operating in both a developing economy, the Republic of Macedonia, and a developed economy, the USA.

Insights reveal that the institutional context (i.e. environmental uncertainty) has significant indirect influence on ICT use by SMEs from rule-based and relationship-based SCs in the wine industry through contractual and relational mechanisms (i.e. contracts and social bonds).

This study contributes to the body of SC knowledge by providing a comparative qualitative analysis of interorganizational factors (i.e. information sharing, collaboration, trust, contractual governance, relational governance and environmental uncertainty) that influence ICT use by SMEs in upstream wine SCs from developing and developed economies.

This paper provides valuable implications for the SC participants (e.g. grape suppliers, wineries and other suppliers) and industries (e.g. Macedonian and American wine industries) related to ICT use and non-use.

This study makes a novel contribution by being the first to qualitatively explore ICT use by SMEs from the wine industry and to identify the importance of legal institutional environment in buyer–supplier exchanges from developed versus developing economies.

This paper aims to present the design and a prototype experiment of a robotic joint module for tokamak in-vessel manipulator-related research; the results will promote the adaptation of current in-vessel inspection manipulator to achieve full tokamak in-vessel environment compatibility.

A flexible metallic bellow-enclosed working chamber is used to protect the main servo drive components, the active cooling method for high temperature protection and the servo control structure simplification for high radiation endurance. A joint module prototype is manufactured and tested under a similar in-vessel environmental condition for extreme condition protection validation and basic servo control ability evaluation.

The joint module prototype successfully survived the similar in-vessel environment tests and proved good mobility via closed-loop servo control. A conceptual design of a serial linkage manipulator with joint module structure is proposed for future in-vessel inspection manipulator development.

The proposed joint module uses common industrial servo components to achieve its full extreme in-vessel environment compatibility. Different from traditional metallic bellow application in a vacuum environment to produce a linear movement result, the proposed joint module aims to achieve rotating movement directly from the metallic bellow structure, thereby reducing the joint structure space requirement, simplifying the vacuum environment movement transmission structure and increasing the vacuum environment compatibility degree.

This paper mainly aims to deal with the problems of uncertainties including modelling errors, unknown dynamics and disturbances caused by load mutation in control of permanent magnet synchronous motor (PMSM).

This paper proposes an enhanced speed sensorless vector control method based on an active disturbance rejection controller (ADRC) for a PMSM. First, a state space model of the PMSM is obtained for the field orientation control strategy. Second, a sliding mode observer (SMO) based on back electromotive force (EMF) is introduced to replace the encode to estimate the rotor flux position angle and speed. Third, an infinite impulse response (IIR) filter is introduced to eliminate high frequency noise mixed in the output of the sliding mode observer. In addition, a speed control method based on an extended state observer (ESO) is proposed to estimate and compensate for the total disturbances. Finally, an experimental set-up is built to verify the effectiveness and superiority of the proposed ADRC-based control method.

The comparative experimental results show that the proposed speed sensorless control method with the IIR filter can achieve excellent robustness and speed tracking performance for PMSM system.

An enhanced sensorless control method based on active disturbance rejection controller is designed to realize high precision control of the PMSM; the IIR filter is used to attenuate the chattering problem of traditional SMO; this method simplifies the system and saves the total cost due to the speed sensorless technology.

The use of sensorless can reduce costs and be more beneficial to actual industrial application.

The proposed enhanced speed sensorless vector control method based on an ADRC with the IIR filter enriches the control method of PMSM. It can ameliorate system robustness and achieve excellent speed tracking performance.

The grasping task of robots in dense cluttered scenes from a single-view has not been solved perfectly, and there is still a problem of low grasping success rate. This study aims to propose an end-to-end grasp generation method to solve this problem.

A new grasp representation method is proposed, which cleverly uses the normal vector of the table surface to derive the grasp baseline vectors, and maps the grasps to the pointed points (PP), so that there is no need to add orthogonal constraints between vectors when using a neural network to predict rotation matrixes of grasps.

Experimental results show that the proposed method is beneficial to the training of the neural network, and the model trained on synthetic data set can also have high grasping success rate and completion rate in real-world tasks.

The main contribution of this paper is that the authors propose a new grasp representation method, which maps the 6-DoF grasps to a PP and an angle related to the tabletop normal vector, thereby eliminating the need to add orthogonal constraints between vectors when directly predicting grasps using neural networks. The proposed method can generate hundreds of grasps covering the whole surface in about 0.3 s. The experimental results show that the proposed method has obvious superiority compared with other methods.

One of the development trends of robots is to enable robots to have the ability of anthropomorphic manipulation. Grasping is the first step of manipulation. For mobile manipulator robots, grasping a target during the movement process is extremely challenging, which requires the robots to make rapid motion planning for arms under uncertain dynamic disturbances. However, there are many situations require robots to grasp a target quickly while they move, such as emergency rescue. The purpose of this paper is to propose a method for target dynamic grasping during the movement of a robot.

An off-line learning from demonstrations method is applied to learn a basic reach model for arm and a motion model for fingers. An on-line dynamic adjustment method of arm speed for active and passive grasping mode is designed.

The experimental results of the robot movement on flat, slope and speed bumps ground show that the proposed method can effectively solve the problem of fast planning under uncertain disturbances caused by robot movement. The method performs well in the task of target dynamic grasping during the robot movement.

The main contribution of this paper is to propose a method to solve the problem of rapid motion planning of the robot arm under uncertain disturbances while the robot is grasping a target in the process of robot movement. The proposed method significantly improves the grasping efficiency of the robot in emergency situations. Experimental results show that the proposed method can effectively solve the problem.

Supply chains deliver goods and services between shippers and receivers, covering collection, transportation, distribution as well as their handling and storage in between. In particular, transportation services are carried out by different transport modes. In some modern supply chains, different categories of air cargo carriers – combinations, freighter-only, and/or integrators – provide critical transport services.

This chapter develops a methodology for estimating the performance of supply chains served by an air cargo carrier network. The methodology is based on indicators of infrastructure use, technical/technological level, operational factors, economic factors, and environmental performance. This proposed methodology is applied to estimate performance of supply chains served by an integrated air cargo carrier – FedEx Express – operating a single hub in the US domestic air network. Results indicate that the methodology may be useful for estimation of overall supply chain performance under the condition that relevant data are available.

The purpose of this paper is to address the overarching question, which was whether the incentives programmes formulated for the community have been found to be suitable to the aspirations and needs of the local residents.

This study has resulted from the authors’ experience through conducting a survey with the local residents in three locations, namely the Bukchon Hanok Village located at Seoul metropolitan city; the Hahoe Village, Angdong and the Yangdong Village, Gyeongju; both the latter are located towards the west of the Korean peninsula in the Gyeongbuk-do Province. This study has hopefully tried to analyse the residents’ perception of the effectiveness of the current incentives policy by using the Bennett’s programme evaluation method.

Results show that there was a divergent direction between the current incentives policy and the local aspirations between sites. In most cases, the cultural heritage conservation has been found to be a catalyst to fulfil a heritage tourism advantage rather than to cater to the local community needs.

The paper is the first insightful study of the historic villages which attempts to draw out the importance of the effectiveness of the incentives programme in guiding the conservation efforts for the local economic development.

The purpose of this study is to examine the effects of brand origin (BO) misperception (hereafter BOM) or non-identification on brand equity. Besides, the current study investigates the moderating role of brand strength in the relationship between BOM and brand equity.

The current study adopted a 4 (BO identification: favorable BOM vs adverse BOM vs non-identification vs correct identification) × 2 (brand strength: strong vs weak) between-subjects design. A total number of 547 participants performed assessments on the automotive brand. The current study selected three strong brands and three weak brands for tests. In the experiment, respondents had to associate the brand with its country of origin. The assignment of BO conditions was based upon respondents' natural responses provided. ANOVA was used for data analysis.

The results indicate that as compared to correct BO identification, BOM (either adverse or favorable) or non-identification exerts a more negative impact on brand equity. Moreover, the study demonstrates that brand strength moderates the effect of perceived BO on brand equity.

This study provides empirical support to the notion that BOM is detrimental to brand equity. Specifically, when adverse BOM occurs, a strong brand suffers more from the negative consequences resulted than a weak brand does. Conversely, when consumers misattribute the BO to a country with a stronger image than its real origin (i.e. favorable BOM), the resulting negative effect is reversed. Moreover, the non-identification of BO hurts the brand equity of both strong and weak brands.