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To realize the smooth interpolation of orientation on robot end-effector, this paper aims to propose a novel algorithm based on the unit quaternion spline curve.

This algorithm combines the spherical linear quaternion interpolation and the cubic B-spline quaternion curve. With this method, a C2-continuous smooth trajectory of multiple teaching orientations is obtained. To achieve the visualization of quaternion curves on a unit sphere, a mapping algorithm between a unit quaternion and a point on the spherical surface is given based on the physical meaning of the unit quaternion.

Finally, the curvature analysis of a practical case shows that the orientation trajectory (OT) constructed by this algorithm satisfied the C2-continuity.

This OT satisfies the requirement of smooth interpolation among multiple orientations on robots in industrial applications.

The purpose of this study is to develop a new information and communication technology (ICT)-based approach for optimising safety transportation according to the needs of the current industrialised building system (IBS) building construction schemes. The improper handling and information management of road transport workers appears to be a major problem in the safety of the IBS building construction industry. Transportation activity is particularly problematic for IBS building construction projects in which traffic incident and safety management level are not in good condition to match with construction specification.

A new ICT-based approach is suggested for optimising safety transportation in accordance with the needs of the current IBS building construction schemes. As a precursor to this work, the concept of road transport workers practices is reviewed and the main features of ICT tools and techniques currently being used on such projects are presented.

The sophisticated road transport workers system solutions is described as an essential component of this optimisation to promote long-term safety and quality improvements of IBS building construction projects.

Finally, the potential for a research framework for developing such a system in the future is presented.

The existing consensus reaching mechanisms ignore the influence of social triangle structure on the decision-makers’ (DMs') weights, and the consensus reaching process (CRP) fails to fully reflect the DMs' subjectivity and can be time consuming and costly. To solve these issues, a novel CRP for multi-criteria group decision-making (MCGDM) problems with intuitionistic grey linguistic numbers (IGLNs) is proposed in this paper.

First, a weight calculation method is proposed by analysing the triangle structure of DMs' social network and scale of adjacent nodes. Then, a consensus degree index based on three-level polygon area is defined and applied to identify the inconsistent DMs. Finally, the feedback mechanism based on particle swarm optimisation (PSO) algorithm under grey linguistic environment is developed, where subjective trust relationships in social network is utilised to determine the adjustment coefficient.

The advantages of the proposed method are highlighted by two practical applications of the evaluation of tunnel construction method and the selection of a hotel for the centralised isolation. Comparision analysis and numerical simulation are performed to reveal the effectiveness and applicability of the method.

The proposed model can not only reflect the effect of triangle structure in social network on DMs' weights, but also reduce the time and cost of decision-making.

The main contribution of this paper is to propose a new MCGDM model based on intuitionistic grey linguistic numbers, which can handle the problem of inconsistency of information more effectively.

This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into the logistics management field.

Rooting their analytical categories in the LMD literature, the authors performed a deductive, theory refinement SLR on 307 interdisciplinary journal articles published during 2015–2022 to integrate this emergent phenomenon into the field.

The authors derived the potentials, challenges and solutions of drone deliveries in relation to 12 LMD criteria dispersed across four stakeholder groups: senders, receivers, regulators and societies. Relationships between these criteria were also identified.

This review contributes to logistics management by offering a current, nuanced and multifaceted discussion of drones' potential to improve the LMD process together with the challenges and solutions involved.

The authors provide logistics managers with a holistic roadmap to help them make informed decisions about adopting drones in their delivery systems. Regulators and society members also gain insights into the prospects, requirements and repercussions of drone deliveries.

This is one of the first SLRs on drone applications in LMD from a logistics management perspective.

The purpose of this paper is to explore how far plans to “modernize” hospital management in China are converging toward a global model of new public management (NPM) or represent a distinctive pathway.

This paper draws on a systematic review of available secondary sources published in English and Chinese to describe both the nature and trajectory of hospital management reforms in China.

In China, while public hospital reforms bear many of the hallmarks of the NPM, they are distinctive in two key respects. First, the thrust of current reforms is to partially reverse, not extend, the trend toward marketization in order to strengthen the public orientation of public hospitals. Second is a marked gap between the rhetoric and reality of empowering managers and freeing them from political control.

This paper develops a framework for understanding the drivers and obstacles to hospital management reforms in China that is useful for managers, clinicians and policy makers.

In China, few authors have considered NPM reform in relation to healthcare. This paper contributes in better understanding current reforms taking place in China’s expanding healthcare sector and locates these within broader theoretical and policy debates.

Previous research studies have testified that safety culture positively affects safety performance. However, the progression by which safety culture affects safety performance has not yet been examined. Also, how safety culture affects the overall safety performance at different levels of the organization is yet to be explored. In order to address this issue, the purpose of this paper is to study the effect of multilevel safety culture upon safety performance over time.

A conceptual causal-loop diagram is constructed using the group model building approach to establish the relationship between safety culture components (e.g. psychological, behavioral and situational) and the factors associated with safety performance (e.g. risk level, safety behavior, unsafe conditions, unsafe acts and incident rate). Considering the dynamic nature and intricacy of the safety management system, the system dynamics approach has been employed to develop the model.

The results indicate that the safety culture at the tactical level (middle management) and operational level is much more effective than strategic level (top management) in ameliorating the safety performance of the organization.

The scope of this study is limited to the effect of multilevel safety culture on safety performance. The focus is on the dynamics of personal, behavioral and situational factors of top management, middle management and workers to reinforce the safety performance of the organization. Future research can be protracted to build other models of safety.

First and foremost, the findings summarized in this paper can be implemented by organizations to achieve the total safety culture to upgrade safety performance.

This paper presents the holistic view of multilevel safety culture in an organization’s hierarchy. It shows how multilevel level safety culture in an organization interacts with the safety management system to enhance the safety performance of the organization.

The spatial and psychological distance within agri-food chains provides both profit and risk for supply chain members. Grounded on the transaction cost economics (TCE) and institutional theory (IT), the purpose of this paper is to test whether the adoption of multiple supply chains (MSCs), which adopt both traditional and shortened supply chains, can be used to manage uncertainty and mitigate the risk associated with a supply chain.

In order to test the hypothesis, matched questionnaire surveys were developed to collect the data from farm managers and consumers. Completed questionnaires were received from 112 respondents. The hierarchical regression analysis was performed to test hypotheses.

The result shows the positive effects of environmental and behavioral uncertainties on MSC adoption and represents the diminished moderating effects of institutions (industrial and consumption tendency) on the relationship between uncertainties and MSA adoption.

This study only explored producers and their recommended consumers; future studies can undertake questionnaire designs (one producer-to-many consumers) and empirical analyses with analytic hierarchy process theory to reexamine the hypotheses proposed in this study.

MSC adoption is a way to manage uncertainties resulting from spatial and psychological distance in the supply chain. Producers and consumers show their risk preferences by SC adoption after considering pre-constructed societal norms. Therefore, the consumers’ and producers’ choice of a supply chain reflects a process of communicating risk. The adoption of a mixed governance mode (MSC adoption) and accessing information about common practices are two ways to decrease such uncertainties.

There are multiple goals (traceability, fairness, efficiency, well-being) in the food supply chain that may be satisfied by MSC adoption. Therefore, policymakers should understand the different values of various supply chains and facilitate the development of various supply chain modes.

This study integrated the undersocialized and oversocialized perspectives (TCE and IT) to understand how uncertainties of supply chains may be diminished. Based on these perspectives, it found that the adoption of the mixed governance mode and accessing of institutional information are two ways to decrease such uncertainties.

The purpose of this paper is to prepare a novel halogen-free intumescent flame retardant (IFR) BHPPODC (benzene hydroquinone phosphorous oxy dichloride cyanuric chloride) for application to epoxy resin (EP) and study their mechanical and flame-retardant performance.

The IFR was synthesised by phenylphosphonic dichloride, hydroquinone and cyanuric chloride via solvent reaction, and the structure was fully characterised by proton nuclear magnetic resonance (¹H-NMR), mass spectrometry (MS) and Fourier transform infrared (FT-IR) spectroscopy. The thermal stability, mechanical and flame properties and morphology of the char layer of the flame-retardant EP was investigated by using thermogravimetric analysis (TGA), tensile and Charpy impact tests, limiting oxygen index (LOI) and vertical burning test (UL-94) and scanning electron microscopy (SEM).

Results of the LOI indicated that the halogen-free flame retardant as an additive exhibits very good flame-retardant effects. The results showed that the addition of IFR improved the flame resistance properties of epoxies resin composites, and the residual char ratio at 800°C significantly increased.

The IFR can be prepared successfully and can improve the flame-retardant performance.

This contribution can provide a high flame retardant performance and has minimal impact on the mechanical performance of the BHPPODC/EP composition.

This study showed that flame-retardant BHPPODC has an effective flame effect under optimal conditions. When the 12 Wt.% IFR was added to the EP, the LOI was 29.1 and the UL-94 rank can reach V-0 rank, the tensile strength was 83.86 MPa and the impact strength was 8.82 kJ/m².

Efforts made in extant literature to link the components of customer relationship management (CRM) strategy to its implementation are insufficient. This paper aims to provide insights on the core components of CRM and the implementation of CRM strategy.

A case study of CRM implementation at a large Swedish firm was carried out using open‐ended, face‐to‐face and telephone interview methods to collect data from key informants at both strategic and operative levels. The empirical studies focused on technical and cognitive aspects necessary for successful implementation of a sustainable CRM strategy.

Results show that relationships are not only a tactical weapon, but represent a different, strategic approach to buyer‐seller exchange. Findings also show that implementing sustainable CRM strategy requires the endorsement by and commitment from top management, systematic cross‐functional communication, and mandatory customer loyalty training programmes for all employees.

Attempts made in extant literature to define CRM have been varied. A theoretical model on which future empirical analysis should be based when conceptualizing CRM should consist of a business strategy, a business philosophy and a database application, thereby forming a tripod.

CRM is a strategic business and process issue, not merely a technology solution as most often conceived in practice. The CRM process is a continuous learning process where information about individual customer is transformed into a customer relationship.

A process‐oriented integrative framework that facilitate successful implementation of a sustainable CRM strategy. It links components of CRM strategy with the key dimension of its implementation. The depth of the anchorage of this paper in the body of literature is a contribution.

The purpose of this paper is to study the grey decision model and distance measuring method of general grey number.

First, intuitionistic grey number (IGN) set and an IGN are defined by grey number probability function. Second, each interval grey number in general grey number is represented by an IGN and converts the general grey number into an IGN set. Final, the operation of two general grey numbers is defined as the operation between IGN sets, and the distance measure of the general grey number is given.

Up to now, the method of measuring the distance and the grey decision model of general grey number is established. Thus, the difficult problem for set up decision mode of general grey number has been solved to a certain degree.

The method exposed in this paper can be used to integrate information form a different source. The method that a general grey number converted to a set of IGNs could be extended to the case of grey incidence analysis models, grey prediction models and grey clustering evaluation models, which includes general grey numbers, etc.

The concepts of IGN and IGN set are proposed for the first time in this paper; The operation of two general grey numbers can be defined as the operation between IGN sets. On this basis, the algorithm of IGN, the integration operator of IGN and the distance measure between IGN sets are given.