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The purpose of this paper is to identify and review empirical strategic management articles that pertain to supply chain management (SCM) and are published in top management journals.

The researchers review all articles published in five top management journals, namely, Academy of Management Journal, Administrative Science Quarterly, Management Science, Organization Science, and Strategic Management Journal, from 2004 to 2013, to identify empirical articles relevant to SCM. The researchers subsequently categorize the literature in thematic categories and subcategories, and they identify the theories informing the research and the methodologies applied.

The most prevalent finding of this literature review is that abundant research pertaining to SCM is being published in top management journals. This demonstrates that SCM is a broad phenomenon studied by scholars across disciplines; thus, a broader literature perspective can be beneficial to those working in this area. Moreover, the reviewed studies are informed by theories that extend beyond the “traditionally used” resource-based view and transaction cost economics. Finally, the majority of the research suggests an inter-organizational scope.

This study familiarizes logistics/SCM scholars with SCM-related research conducted in the strategic management field, informing them about the types of phenomena studied by strategic management scholars, the theoretical lenses and literature used to enhance understanding of these phenomena, and the empirical methodologies applied to examine those. Importantly, through this familiarization, logistics/SCM scholars can learn from but also contribute to the strategic management literature that pertains to SCM.

With the twin screw extruder being widely used, there are a lot of parameters considered in the method, and the extruder’s volume is an important parameter of twin screw extruders among them. In this paper, some of the extruder parameters such as the impacting extruder volume are introduced, and the mathematical relationship in these parameters is interpreted. The minimum power consumption is the goal of the authors’ structural design.

This paper further applies genetic algorithm, a kind of intelligent optimization methods, to obtain the most optimized design dimension, and power consumption function related to unit output of extruder is used as the optimizing target. Meanwhile, this paper takes channel depth of feeding section, channel depth of extrusion section affecting the energy consumption, the width of flight top and helix angle as design variables.

By using genetic algorithm, the optimal structure size is obtained, and the power consumption is minimum.

With the use of optimizing the structure, the power of consumption is reduced. This method has important economic significance and important social significance on energy saving.

As an effective tool to promote rational resource allocation and facilitate the development of green management practices such as enterprise digital innovation, the green credit policy has recently gained extensive attention. The purpose of this paper is to analyze the relationship between green credit policies and the digital innovation of enterprises, and to further explore the mechanism of action between them and their boundary conditions.

Based on micro-level data on Chinese firms from 2007 to 2019, this paper constructs a difference-in-differences (DID) model to investigate the impact and intrinsic mechanisms of green credit policies on firms' digital innovation and its boundary conditions, with the help of a quasi-natural experiment, i.e. the Green Credit Guidelines.

Green credit policies inhibit digital innovation and fail to compensate for innovation. The analysis of the mechanism shows that the implementation of green credit policies has a negative impact on digital innovation by increasing the financing constraints faced by firms, and has also a crowding-out effect on R&D investment, resulting in a disincentive to digital innovation. Further analysis reveals that the negative impact of green credit policies on digital innovation is more pronounced in state-owned enterprises, enterprises without financially experienced executives, and in the eastern regions of China.

This study provides empirical evidence to understand the effectiveness and mechanism of influence of green credit policies on enterprise digital innovation, providing also a basis to further improve green credit policies.

The purpose of this paper is to synthesize the extant literature on green innovation (GI), and more importantly, to provide future directions for GI research from the innovation ecosystem (IE) perspective.

A systematic literature review is conducted to summarize the status of current GI research, followed by content analysis to identify connectivity and crossovers between key concepts in the bodies of GI and IE literature. Then, the authors propose a green innovation ecosystem (GIE) framework and offer recommendations for future research on GI.

It is evident that the bodies of GI and IE literature overlap on the roles of external actors, and yet, there is scant research investigating GI activities from the IE perspective. Moreover, there are multiple directions worthy of future research applying the proposed GIE framework.

Though the concept of ecosystem has become pervasive in innovation management research, this study is one of the first works to introduce IE concepts and propositions in the GI research context. This paper provides new knowledge on GIEs and sets the basis for further investigation.

As live streaming becomes a widely used online sales mode, previously content-centred anchors are attempting to switch to e-commerce live streaming. The purpose of this research was to explore the mechanisms that prompt consumers to stay or leave after content anchors transfer to live e-commerce broadcasts. In addition, we explored the factors affecting consumption from the perspectives of anchors, consumers and the external environment.

We distributed questionnaires to a group of fans who had experienced the transition of content anchors to live streaming and received back 375 valid questionnaires. Using psychological contract theory, we constructed a theoretical model for the scenario in which content anchors transition to live e-commerce broadcasting and analysed the data using partial least squares structural equation modelling (PLS-SEM).

The results show that circle culture, mainstream culture, initial trust and live streaming content all positively influenced consumers’ attitudes, whilst consumers’ past shopping experiences negatively influenced consumers’ attitudes. The personal charm of the content anchors did not have a significant effect on consumers’ attitudes. Additionally, we found that only anchors with a significant circle culture and good trust levels amongst fans were able to transition to live e-commerce streaming successfully.

This study extends the application of psychological contract theory to the field of e-commerce and describes the transformation of different types of psychological contracts. The paper’s conclusions provide a reference for decision-making and the implementation of transformation by content-based anchors to live streaming, helping them to coordinate their relationships with fans more effectively.

COVID-19 is currently the most serious crisis facing the world, and scholars in the medical and social sciences are working to save lives and mitigate the societal effects of the pandemic. This global public health emergency requires interdisciplinary work to provide comprehensive insight into a rapidly changing situation. However, attempts to integrate the medical and social sciences have met several barriers. This paper aims to identify feasible research opportunities for interdisciplinary studies across tourism and public health regarding COVID-19.

This paper presents a critical review of the literature and generates corresponding conceptual and theoretical frameworks to provide an in-depth discussion.

Tourism-related issues of destination management policies and capital are addressed from an interdisciplinary perspective. The conclusions encourage interdisciplinary research into global health problems, which will promote tourism’s renaissance and sustainable development while enhancing social welfare.

This study focuses on integrating tourism and public health to offer stakeholders recommendations regarding destination management and tourism industry recovery amid COVID-19.

This paper represents a frontier study, critically uncovering a host of innovative interdisciplinary research directions and tourism-focused collaboration opportunities related to COVID-19.

新冠疫情是当今世界面对的最严重的危机, 医学和社会科学领域的学者们在共同努力, 拯救生命, 减轻疫情的社会影响。基于快速变化的形势, 这项全球突发的公共卫生事件亟需跨学科工作来进行全面的调查, 但目前医学和社会科学的融合存在一些阻碍因素。为了应对新冠疫情的爆发, 本文旨在探讨旅游与公共卫生跨学科合作的可行性和研究机会, 并总结潜在的研究主题和未来的研究议程。

本研究对文献进行了批判性的回顾, 并生成了相应的概念和理论框架, 以提供一个全面的, 深入的主题讨论。

研究结果从跨学科的角度讨论了旅游产业中的目的地管理、政策和资本问题。我们的结论鼓励对全球健康问题进行跨学科研究, 这将促进旅游业的复兴和可持续发展, 同时提高社会福利。

目前的研究重点是旅游研究和公共卫生的融合, 为利益攸关方提供关于在危机中目的地管理和旅游业复苏的建议。

本文是一项前沿研究, 批判性地、全面地确定了一系列与新冠疫情相关的旅游领域的跨学科研究方向和合作机会。

关键词：医学, 社会科学, 公共健康, 旅游管理, 跨学科研究, 新冠肺炎

文章类型： 研究型论文

Este trabajo presenta una revisión crítica de la literatura y genera los correspondientes marcos conceptuales y teóricos para proporcionar una discusión en profundidad.

El COVID-19 es actualmente la crisis más grave a la que se enfrenta el mundo, y los especialistas en ciencias médicas y sociales están trabajando para salvar vidas y mitigar los efectos sociales de la pandemia. Esta emergencia de salud pública mundial requiere un trabajo interdisciplinario para proporcionar una visión completa de una situación que cambia rápidamente. Sin embargo, los intentos de integrar las ciencias médicas y sociales han encontrado varios obstáculos. El objetivo de este artículo es identificar las oportunidades de investigación viables para los estudios interdisciplinares entre el turismo y la salud pública en relación con la COVID-19.

Las cuestiones relacionadas con el turismo en materia de gestión de destinos, políticas y capital se abordan desde una perspectiva interdisciplinar. Nuestras conclusiones alientan la investigación interdisciplinaria de los problemas de salud global, lo que promoverá el renacimiento del turismo y el desarrollo sostenible, al tiempo que aumentará el bienestar social.

Este estudio se centra en la integración del turismo y la salud pública para ofrecer a las partes interesadas recomendaciones relativas a la gestión de los destinos y la recuperación de la industria turística en medio de COVID-19.

Este trabajo representa un estudio de frontera, que descubre de forma crítica una serie de direcciones innovadoras de investigación interdisciplinaria y oportunidades de colaboración centradas en el turismo en relación con COVID-19.

Palabras clave Ciencias médicas, ciencias sociales, salud pública, gestión del turismo, investigación interdisciplinaria, COVID-19

Investigación

This paper aims to study the influence of cylindrical texture parameters on the lubrication performance of static and dynamic pressure thrust bearings (hereinafter referred to as thrust bearings) and to optimize their lubrication performance using multiobjective optimization.

The influence of texture parameters on the lubrication performance of thrust bearings was studied based on the modified Reynolds equation. The objective functions are predicted through the BP neural network, and the texture parameters were optimized using the improved multiobjective ant lion algorithm (MOALA).

Compared with smooth surface, the introduction of texture can improve the lubrication properties. Under the optimization of the improved algorithm, when the texture diameter, depth, spacing and number are approximately 0.2 mm, 0.5 mm, 5 mm and 34, respectively, the loading capacity is increased by around 27.7% and the temperature is reduced by around 1.55°C.

This paper studies the effect of texture parameters on the lubrication properties of thrust bearings based on the modified Reynolds equation and performs multiobjective optimization through an improved MOALA.

This article investigates recent studies of construction law in different areas, including civil engineering; construction building technology; transportation; multidisciplinary studies and the environment, as well as their changing trends in the years between 2000 and 2019.

The transformation trend of construction law is investigated based on collecting main keywords from the Web of Science (WoS) database selectively from different viewpoints and using Scientometric Analysis by CiteSpace and HistCite software. The top journals, top universities, and the most active countries in publishing and expanding construction law, keyword co-occurrence network, top keywords with the strongest citation bursts, cluster analysis, the most cited articles are determined both generally and yearly.

By interpreting the Scientometric results, focal points of legal issues and their changing trends during the last two decades are reviewed. Scholars’ data concerning interesting topics, construction law industry future needs, knowledge gaps, and speculation about future views and direction are obtained.

Restrictions on data search, limiting the category of studies to a specific domain, and limiting research time to 20 years are some limitations of this article.

All these results address legal issues, comprehensive laws, plenary contracts, and efficient dispute resolution based on cultures and themes.

Given the importance of legal issues at all stages of the construction cycle, a review of this multidisciplinary and new science over the past two decades can provide hot issues, knowledge gaps, and a better view of the future.

It was verified that the micro-texture in the front and back of the tool at the same time had a positive effect on improving the milling behavior and surface quality of the tool. The purpose of this study is to explore the rationality of simultaneous placement of micro-textures on the front and rear surfaces of ball-end milling cutters, analyze the influence of micro-texture parameters on tool milling behavior and workpiece surface quality, reveal its internal mechanism, and obtain the best micro-texture parameters by optimization.

First, the mechanism of micro-texture is studied based on the energy loss model. Second, the orthogonal experiment is designed to analyze the influence of micro-texture parameters on tool milling behavior and reveal its mechanism by combining simulation technology and cutting experiment. Finally, the parameters are optimized based on the artificial bee colony algorithm.

The results show that the simultaneous placement of micro-texture on the rake face and flank face of the tool has a positive effect on improving the milling behavior and surface quality of the tool. Taking milling force, tool wear and surface roughness as the evaluation criteria, the optimal parameter combination is obtained: the rake face micro-texture diameter is 50 µm, the distance from the micro-texture is 200 µm and the distance from the cutting edge is 110 µm; the diameter of the micro-textured flank is 40 µm, the distance from the micro-texture is 170 µm and the distance from the cutting edge is 130 µm.

Taking milling force, tool wear and surface roughness as the evaluation criteria, the optimal parameter combination is obtained: the rake face micro-texture diameter is 50 µm, the distance from the micro-texture is 200 µm and the distance from the cutting edge is 110 µm; the diameter of the micro-textured flank is 40 µm, the distance from the micro-texture is 170 µm and the distance from the cutting edge is 130 µm, which provides theoretical support for the further study of the micro-textured tool.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-01-2023-0022/

Synergy indicators and social network analysis (SNA), as practical tools, provide the possibility of explaining the pattern of scientific collaboration and visualization of network relations. Recognition of scientific capacities is the basis of synergy. The present study aims to measure and discover the synergistic networks of COVID-19’s top papers at the level of co-authorship, countries, journals, bibliographic couples and titles.

The synergy indicator, co-authorship co-citation network analysis methods were applied. The research population comprises COVID-19’s top papers indexed in Essential Science Indicator and Web of Science Core Collection 2020 and 2021. Excel 2016, UCINET 6.528.0.0 2017, NetDraw, Ravar Matrix, VOSviewer version 1.6.14 and Python 3.9.5 were applied to analyze the data and visualize the networks.

The findings indicate that considering the three possible possibilities for authors, countries and journals, more redundancy and information are created and potential for further cooperation is observed. The synergy of scientific collaboration has revealed that “Wang, Y,” “USA” and “Science of the Total Environment” have the most effective capabilities and results. “Guan (2020b)” and “Zhou (2020)” are bibliographic couplings that have received the most citations. The keywords “CORONAVIRUS DISEASE 2019 (COVID-19)” were the most frequent in article titles.

In a circumstance that the world is suffering from a COVID-19 pandemic and all scientists are conducting various researches to discover vaccines, medicines and new treatment methods, scientometric studies, and analysis of social networks of COVID-19 publications to be able to specify the synergy rate and the scientific collaboration networks, are not only innovative and original but also of great importance and priority; SNA tools along with the synergy indicator is capable of visualizing the complicated and multifaceted pattern of scientific collaboration in COVID-19. As a result, analyses can help identify existing capacities and define a new space for using COVID-19 researchers’ capabilities.