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Library intelligence institutions, which are a kind of traditional knowledge management organization, are at the frontline of the big data revolution, in which the use of unstructured data has become a modern knowledge management resource. The paper aims to discuss this issue.

This research combined theme logic structure (TLS), artificial neural network (ANN), and ensemble empirical mode decomposition (EEMD) to transform unstructured data into a signal-wave to examine the research characteristics.

Research characteristics have a vital effect on knowledge management activities and management behavior through concentration and relaxation, and ultimately form a quasi-periodic evolution. Knowledge management should actively control the evolution of the research characteristics because the natural development of six to nine years was found to be difficult to plot.

Periodic evaluation using TLS-ANN-EEMD gives insights into journal evolution and allows journal managers and contributors to follow the intrinsic mode functions and predict the journal research characteristics tendencies.

The environmental deterioration has become one of the most economically consequential and charged topics. Numerous scholars have examined the driving factors failing to consider the structural breaks. This study aims to explore sustainability using the per capita ecological footprints (EF) as an indicator of environmental adversities and controlling the resources rent [(natural resources (NR)], labor capital (LC), urbanization (UR) and per capita economic growth [gross domestic product (GDP)] of China.

Through the analysis of the long- and short-run effects with an autoregressive distributed lag model (ARDL), structural break based on BP test and Granger causality test based on vector error correction model (VECM), empirical evidence is provided for the policies formulation of sustainable development.

The long-run equilibrium between the EF and GDP, NR, UR and LC is proved. In the long run, an environmental Kuznets curve (EKC) relationship existed, but China is still in the rising stage of the curve; there is a positive relationship between the EF and NR, indicating a resource curse; the UR is also unsustainable. The LC is the most favorable factor for sustainable development. In the short term, only the lagged GDP has an inhibitory effect on the EF. Besides, all explanatory variables are Granger causes of the EF.

A novel attempt is made to examine the long-term equilibrium and short-term dynamics under the prerequisites that the structural break points with its time and frequencies were examined by BP test and ARDL and VECM framework and the validity of the EKC hypothesis is tested.

Contrasted with some other industries, the construction industry has been linked with the most noteworthy accident occurrence rate, the majority of which has been related to poor health and safety practises. This paper therefore sets out to conduct a comprehensive review of the critical success factors that can aid sustainable health and safety practises on construction sites in Malaysia.

The review focussed heavily on published reports, drawn between the years 2000 and 2022. The Scopus database was used for gathering the articles reviewed for this study.

After reviewing various literature studies, a total of 106 critical success factors were identified. All these factors were then categorised under the three pillars of sustainability. A total of 48 factors were grouped under the economic factors, 37 factors were grouped under the social factors and the remaining 21 factors were grouped under the environmental factors.

This paper conducted a comprehensive review of the critical success factors for bridging sustainability and health and safety. This study will help in developing a sustainable health and safety model that can drastically reduce the accident rate on the construction site.

The purpose of this paper is to establish and implement a direct topological reanalysis algorithm for general successive structural modifications, based on the updating matrix triangular factorization (UMTF) method for non-topological modification proposed by Song et al. [Computers and Structures, 143(2014):60-72].

In this method, topological modifications are viewed as a union of symbolic and numerical change of structural matrices. The numerical part is dealt with UMTF by directly updating the matrix triangular factors. For symbolic change, an integral structure which consists of all potential nodes/elements is introduced to avoid side effects on the efficiency during successive modifications. Necessary pre- and post processing are also developed for memory-economic matrix manipulation.

The new reanalysis algorithm is applicable to successive general structural modifications for arbitrary modification amplitudes and locations. It explicitly updates the factor matrices of the modified structure and thus guarantees the accuracy as full direct analysis while greatly enhancing the efficiency.

Examples including evolutionary structural optimization and sequential construction analysis show the capability and efficiency of the algorithm.

This innovative paper makes direct topological reanalysis be applicable for successive structural modifications in many different areas.

Scientific knowledge is usually regarded as the basis for the management of natural environment and wildlife in ecotourism. However, recently, social construction approaches challenge the domination of natural science. This study aims to examine the effectiveness of the social construction paradigm in ecotourism management, through conducting a content analysis of social media comments on an accident caused by a monkey in a Chinese ecotourism area. The results show that people commented on the accident from five aspects. First, the public expressed their compassion and mourning for the deceased. Second, people thought that the death was casual and absurd, yet life is full of uncertainty and people should cherish the present. Third, people commented much on the deceased tourist’s company, which is a famous sugar brand well entrenched in many Chinese people’s childhood memories. Fourth, people constructed the monkey as Monkey King, Golden Monkey (another famous sugar brand in China) and as a criminal. Fifth, people also gave their opinions about possible causes of the accident, namely, it was caused by “the mandate of heaven,” company competition, conspiracies or poor management. This study only seriously considers the comments about the mandate of heaven. This explanation is consistent with the Chinese traditional construction of nature as “heaven,” which is believed to dominate the natural and human worlds. Most people, including the managers, accepted the accident and did not explore further about the reasons for the accident. In this case, such a social construction of nature does not aid effective ecotourism management.

Although additive manufacturing (AM; 3D printing/3DP) is presently in its infancy, once it becomes economically viable for mass production, it would revolutionize the operation and supply chain network of traditional businesses and manufacturing industries. To this end, approaches for ensuring a smooth transition of the economy, businesses, manufacturing centers and related services are being investigated. This review paper assesses the existing literature on the impact of AM on the maritime transportation sector.

This paper provides a systematic literature review through three methodological phases: (1) a comprehensive review of the number of English language literature studies published on the topics of AM or 3DP (1970–2021); (2) a bibliometric analysis of selected keyword combinations and (3) a detailed review on the impact of AM on different sectors.

The key findings are that existing studies do not attempt to forecast shipping volume and ton-miles that can be affected by the mainstreaming of the technology. Additionally, existing literature that focuses on the impact of the technology on different shipping categories is limited to studies on container ships.

The review identifies some potential areas of research that since maritime transportation will be affected by mainstreaming AM, it will have economic, social and environmental impacts on global trade that require future assessment.

This paper aims to study the FinTech enterprises and the management theories related to this subject in a scientific way.

This study is a bibliometric study on FinTech enterprises. Its origin is a survey of 1,749 papers in 6 traditional peer-reviewed academic databases (e.g. Science Direct and Scopus) and in the “gray” literature, published by other agents and not subject to double-blind peer review. In this analysis we use three approaches: academic paper or not; journal main interest, and main purpose of the paper.

The first approach shows 45% of papers without blind review. The second approach shows no concentration on any journal. It represents no concentration on any kind of specific journal. And the third approach shows four kinds of contents in all researched papers: FinTech categorizations; FinTech related to theory of disruptive innovation; FinTech and theories of administration or economy; and finally, FinTech and regulatory and legislative aspects.

The findings identified the emergence of new research strands, precedence of studies of “gray” literature to explain the phenomenon, distribution of studies in different fields of knowledge (e.g. information technology, business and law) and lack of consensus in theories to explain the matter.