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Petroleum resource-based city is an important part of urban system in China. Under the background of green growth and economic transition, petroleum resource-based city is facing the problem of sustainable development. This paper takes petroleum resources-based cities in China as the research object, and uses urban ecological planning method to analyze the basic methods of petroleum resources-based urban ecological planning and development from three aspects: establishing multi-level city circle layer, building urban ecotope and promoting urban renewal. The results show that green growth and economic transition of petroleum resources cities in China depend on government planning for urban development, including statutory planning and non-statutory planning. Petroleum resources-based cities should promote the ecological planning and development of petroleum resources-based cities in China from three aspects: optimizing the industrial structure of cities, optimizing the layout of urban functional areas and optimizing the layout of urban ecolandscape in order to adapt to green growth and economic transition.

The purpose of this paper is to further explore the co-citation and bibliographic-coupling relationship among the core authors in the field of Chinese information science (IS), to expose research activity and author impact, and to make induction analyses about Chinese IS research patterns and theme evolution.

The research data include 8,567 papers and 70,947 cited articles in the IS field indexed by Chinese Social Sciences Citation Index from 2000 to 2009. Author co-citation analysis, author bibliographic-coupling analysis, social network analysis, and factor analysis were combined to explore co-citation and bibliographic-coupling relationships and to identify research groups and subjects.

Scholars with greatest impact are different from the most active scholars of Chinese IS; there is no uniform impact pattern forming since authors’ impact subjects are scattered and not steady; while authors’ research activities present higher independence and concentration, there is still no steady research pattern due to no deep research existing. Furthermore, Chinese IS studies can be delineated by: foundation or extension. The research subjects of these two parts, as well as their corresponding/contributing authors, are different under different views. The general research status of core authors is concentrated, while their impact is broad.

The combined use of some related methods could enrich the development and methodology research of the discipline, and the results establish a reference point on the development of IS research.

Cultural and geographical distances create friction in multinational enterprises (MNEs), friction that indigenous firms do not experience in the same manner. This friction or liabilities of distance is conceptualized as governance costs in this chapter. Unfortunately, governance costs seem to be a rather equivocal concept, although it is one of the building blocks of internalization theory, and the raison d’être of the idea that certain kind of transactions have to be internalized to overcome the most prohibitive consequences of business activities across cultural and geographical distances. By going back to an award-winning paper, published in IBR in 2009, we put forward some nuances and reflections upon theory and findings presented in that paper, as well as upon implications and behavior of governance costs. The reason for this endeavor is grounded in the idea that theories must be challenged, empirical finding, just as well. Building upon survey data from 159 Norwegian MNEs, we explore and test six hypotheses by structural equation modeling (SEM). The results indicate that information fallacies seem to be the main driver of monitoring – and bargaining costs in the relationship between MNE HQs and their foreign subsidiaries, and thereby also the indirect driver of the observed negative effects of monitoring and bargaining on subsidiary performance. On the other hand, trust shaped by bonding activities seems to be an important factor in reducing bargaining costs and improving subsidiary performance.

Selective laser melting and electron beam melting processes are well-known for the additive manufacturing of metal parts. Metal powder bed fusion (MPBF) is a common term for them. The MPBF process can empower the manufacturing of intricate shapes by reducing the use of special tools, shortening the supply chain and allowing small batches. However, the MPBF process suffers from many quality issues. In literature, several works are recorded for qualification of the MPBF part. The purpose of this study is to recollect those works done for quality control and report their helpful findings for further research and development.

A systematic literature review was conducted to highlight the major quality issues in the MPBF process and its root causes. Further, the works reported in the literature for mitigation of these issues are classified and discussed in five categories: experimental investigation, finite element method-based numerical models, physics-based analytical models, in-situ control using artificial intelligence (AI) and machine learning (ML) methods and statistical approaches. A comparison is also prepared among these strategies based on their suitability and limitations. Additionally, improvements in MPBF printers are pointed out to enhance the part quality.

Analytical models require less computational time to simulate the MPBF process and need a smaller number of experiments to confirm the results. They can be used as an efficient process parameter planning tool to print metal parts for noncritical applications. The AI-ML based quality control is also suitable for MPBF processes as it can control many processing parameters that may affect the quality of the MPBF part. Moreover, capabilities of MPBF printers like thinner layer thickness, smaller beam diameter, multiple lasers and high build temperature range can help in quality control.

This study converts the piecemeal data on MPBF part qualification methods into interesting information and presents it in tabular form under each strategy. This tabular information provides the basis for further quality improvement efforts in the MPBF process.

This study references researchers and practitioners on recent quality control efforts and their significant findings for a better quality of MPBF part.

The purpose of this paper is to research the impact of hybrid series‐parallel and parallel‐series system configurations on system performances based on system reliability and to develop a configuration model to meet the requirement of reconfigurable manufacturing system (RMS).

Based on the criterion of system reliability, a RMS configuration model is presented – the hybrid parallel‐series model with waiting system characteristics. The configuration model is evaluated from reliability, productivity, and cost by combining system engineering theory, Boolean algebra methodology with statistical analysis theory. The model reliability has been used to ameliorate by adopting the integrated algorithm based on Shrama and Misra optimization algorithm.

The need for application of this method and model – some constraints must be limited, the hybrid parallel‐series configuration is superior and the integrated algorithm is effective to RMS system configuration.

Cost constraints, equipment weight constraints, and function independency of equipment are main limitations.

The model and method have been used to ameliorate the reconfigurable automobile parts product line in SH automobile motor company of Shanghai. The operation result illustrates the validity of this configuration model and algorithm.

The new RMSs configuration model has been proposed. The new algorithm is proposed to ameliorate and optimize a reconfigurable product line with the integrated algorithm based on Shrama and Misra algorithm. The actual running effect is significant.

The purpose of this paper is to numerically investigate the flow characteristics and extend the data of friction factor and Reynolds number product of hydrodynamically developing laminar flow in three-dimensional rectangular microchannels with different aspect ratios.

Using a finite-volume approach, the friction factor characteristics of Newtonian fluid in three-dimensional rectangular ducts with aspect ratios from 0.1 to 1 are conducted numerically under no-slip boundary conditions. A simple model that approximately predicts the apparent friction factor and Reynolds number product f_appRe is referenced as a semi-theoretical fundamental analysis for numerical simulations.

The accurate and reliable results of f_appRe are obtained, which are compared with classic numerical data and experimental data, and the simple semi-theoretical model used and all comparisons show good agreement. Among them, the maximum relative error with the classic numerical data is less than 3.9 per cent. The data of f_appRe are significantly extended to other different aspect ratios and the novel values of f_appRe are presented in the tables. The characteristics of f_appRe are analyzed as a function of a non-dimensional axial distance and the aspect ratios. A more effective and accurate fourth-order fitting equation for the Hagenbach's factor of rectangular channels is proposed.

From the reliable data, it is shown that the values of f_appRe and the model can be references of pressure drop and friction factor for developing laminar flow in rectangular channels for researchers and engineering applications.

Guided by the self-determination theory and theory of planned behaviour, this study aims to examine the determinants of participating in metaverse tourism for Gen Z and Gen Y.

The cross-sectional method was used to collect data from 248 respondents from Gen Z and Gen Y tourists. The research model was evaluated using the partial least squares-structural equation modelling (PLS-SEM).

The PLS-SEM results supported the positive effect of attitude and perceived behavioural control on tourists’ intention to participate in the metaverse tourism. In addition, the crucial role of intrinsic motivation in raising individuals’ cognitive beliefs about metaverse tourism was confirmed.

In addition to the theoretical contributions, the findings provide several managerial implications for tourism practitioners, scholars and metaverse developers to help them make insightful decisions and promote the development of metaverse tourism.

在自我决定理论和计划行为理论的指导下, 本研究探讨了Z世代和Y世代参与元宇宙旅游的决定因素。

采用横截面法收集了248名Z世代和Y世代游客的数据。采用偏最小二乘-结构方程模型(PLS-SEM)对模型进行了分析。

PLS-SEM结果支持态度和感知行为控制对游客参与元宇宙旅游意愿的积极影响。此外, 内在动机在提高个人对元宇宙旅游的认知信念方面的关键作用也得到了证实。

本文为旅游从业者、学者和元宇宙旅游开发商提供了一些管理启示, 帮助他们做决策, 促进元宇宙旅游的发展。

Guiado por la teoría de la autodeterminación y la teoría del comportamiento planificado, este estudio examina los determinantes de la participación en el turismo del Metaverso para la Generación Z y la Generación Y.

Se utilizó el método transversal para recopilar datos de 248 turistas encuestados de la Generación Z y la Generación Y. El modelo de investigación se evaluó utilizando la metodología de ecuaciones estructurales de mínimos cuadrados parciales (PLS-SEM).

Los resultados del PLS-SEM respaldan el efecto positivo de la actitud y el control percibido del comportamiento en la intención de los turistas de participar en el turismo en el metaverso. Además, se confirma el crucial papel, de la motivación intrínseca a la hora de elevar las creencias cognitivas de los individuos sobre el turismo del metaverso.

Además de las contribuciones teóricas, los hallazgos proporcionan varias implicaciones empresariales para los profesionales del turismo, académicos y desarrolladores de Metaverso para ayudarles a tomar decisiones perspicaces y promover el desarrollo de este turismo.

Though many conceptual and empirical studies have been conducted on the servicescape, limited research has focused on how the COVID-19 pandemic has reshaped factors influencing the servicescape. This paper aims to propose an extension of Bitner’s original conceptualization, including pandemic-induced physical and social constraints on servicescape in the form of crowding, consumer risk perception during the crisis and their impact on consumers' and employees’ behavioral changes in retail and hospitality sectors.

This paper critically reviewed the past and emerging servicescape and risk literature. It then examines and delineates the concepts of crowding, density and associated risk perceptions to offer an extended servicescape framework. Alongside, scales were proposed to measure the constructs and guidelines given to conduct future empirical studies.

This paper discussed the major impact on servicescape during a pandemic situation, to what extent risk is perceived during consumption and the impact of crowding and store density on employee and customer behavioral responses.

This paper principally contributes by explicitly including specific risk dimensions and crowding and proposes the scales to measure consumers’ understanding of pandemic-induced perceptions of risk, crowding and density within servicescapes for further empirical testing. Alongside this, the identification and concretization of different types of perceived risks under COVID-19 provide critical and useful marketing implications.

This study identifies relevant risk dimensions, proposes crowding as an independent construct apart from servicescape physicality and proposes relevant measures for empirical verification.

Governments around the world have shown poor capabilities in responding effectively to the COVID-19 health emergency outbreaks. After the declaration of COVID-19 as an international pandemic by the World Health Organization on January 31, 2020, three countries experienced the greatest initial impact in Europe. Sequentially Italy, Spain and the United Kingdom (UK) were hit by the highest numbers of contagion and death in the first few months in Europe. The aim of this paper is to assess how information channels and sources influenced the public’s evaluation of the three government’s communication response strategies.

An online survey was conducted between March 14 and April 14, 2020, during the first wave of lockdowns and declarations of States of Emergency in the three countries.

Findings show particularities for the different countries, but also similarities in response and reactions of the public in the three scenarios. The response strategy of the UK Government was the most untrusted and criticized by citizens. In contrast, the Italian and Spanish Governments, which both chose to respond with the severest restrictions, attracted more support from citizens, especially in Italy, which was the first to close borders and impose lockdowns for the population.

Despite the national differences in the preference of information channels and sources, overall, an empirical relationship between government communication assessment and media use were found in all the scenarios.

This empirical study has theoretical and practical implications. Theoretically, findings will add evidence of implications of the Channel Complementary Theory to the field of risk, crisis and emergency communication. The results also provide insights for communication practitioners in the public sector on how forms of information and trust in sources influence the public’s assessment of authorities’ communication.

Implications for theory and empirical research about communication during a health pandemic are identified and discussed.

Citizens engage at a high level and synchronize their use of multiple media and platforms in all the three national scenarios.

Stronger criticism is provided by online media, especially social media and online press in the different national contexts.

Results corroborate that factors related to media choice need to be operationalized for risk and crisis communication research.

When public health depends on people understanding the actions they need to take, the possibility of disobedience is highly dependent on trust.

Compared with Spain and the United Kingdom (UK), trust in government institutions in Italy was stronger and could be explained by the higher use of owned media for information-seeking.

The purpose of this paper is to outline some key aspects such as material systems used, phenomenological and statistical process modeling, techniques applied to monitor the process and optimization approaches reported. All these need to be taken into account for the ongoing development of the SLM technique, particularly in health care applications. The outcomes from this review allow not only to summarize the main features of the process but also to collect a considerable amount of investigation effort so far achieved by the researcher community.

This paper reviews four significant areas of the selective laser melting (SLM) process of metallic systems within the scope of medical devices as follows: established and novel materials used, process modeling, process tracking and quality evaluation, and finally, the attempts for optimizing some process features such as surface roughness, porosity and mechanical properties. All the consulted literature has been highly detailed and discussed to understand the current and existing research gaps.

With this review, there is a prevailing need for further investigation on copper alloys, particularly when conformal cooling, antibacterial and antiviral properties are sought after. Moreover, artificial intelligence techniques for modeling and optimizing the SLM process parameters are still at a poor application level in this field. Furthermore, plenty of research work needs to be done to improve the existent online monitoring techniques.

This review is limited only to the materials, models, monitoring methods, and optimization approaches reported on the SLM process for metallic systems, particularly those found in the health care arena.

SLM is a widely used metal additive manufacturing process due to the possibility of elaborating complex and customized tridimensional parts or components. It is corroborated that SLM produces minimal amounts of waste and enables optimal designs that allow considerable environmental advantages and promotes sustainability.

The key perspectives about the applications of novel materials in the field of medicine are proposed.

The investigations about SLM contain an increasing amount of knowledge, motivated by the growing interest of the scientific community in this relatively young manufacturing process. This study can be seen as a compilation of relevant researches and findings in the field of the metal printing process.