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Although the handover stage is the key transition stage between the construction and operation, there is no critical overview of issues and research at the handover stage, hindering the achievement of sustainable development of buildings. Therefore, the purpose of this paper is to review the building handover-related issues and research in construction and facility management (FM) journals. The specific objectives of this study include: analyze the research trends and overview the handover-related publications; identify the major research topics on the handover of buildings; identify research gaps and propose future research directions.

This study opted for a four-step systematic review of papers from the well-known academic journals in the construction and FM respects.

The results first revealed the increasing research interest in the handover of buildings from the researchers. Moreover, the post-construction defects, poor information fidelity, poor interoperability between building information modeling (BIM) and FM technologies, and insufficient consideration of end users were identified as the most concerned challenges for a building handover. Furthermore, identifying and formalizing information requirements for handover, improving the handover process, and improving the interoperability between BIM and FM were solutions mostly emphasized by researchers.

As the first systematic review of building handover-related issues and research, this study is the building block for future research on this topic. The findings provide guidance for researchers in the construction and FM research community, and help them form useful collaboration for future research opportunities and find future research directions.

The identified significant challenges and potential solutions for a building handover could assist practitioners in making rational decisions on developing or adopting relevant technologies, and reshaping their management patterns and working processes. Moreover, the findings could be severed as evidence for policymakers to initiate policies, such as documents e-submission and timely updating BIMs, to achieve the vision of model-based project delivery.

This study contributed to the body of knowledge of sustainable development by providing a new insight to tackle the hindrance to the smooth transition from the construction to the operation.

The aims of this study are to conduct a systematic review of public–private partnership (PPP) studies published from 2009 to 2019, to compare the results with Ke et al. (2009) who reviewed the PPP literature published from 1998 to 2008, and to trace the evolution of the PPP knowledge in the past two decades. This study also presents the possible directions that the PPP research may go towards in the future, arguably.

This study carried out a top journal-based search to identify the quality PPP articles published from 2009 to 2019. A total of 12 top-tier construction journals were systematically searched in the database of web of science (WOS), from which 279 PPP articles were identified for review.

The number of the identified articles, the titles of the journals, institutions, the most cited papers, and prevalent research methods were analyzed and compared. The existing PPP studies in construction journals were classified into seven streams. Through analysis of the PPP research status and gaps, five future research directions were revealed.

This study contributes to the current body of knowledge by revealing the research trend of PPP from 2009 to 2019. It presents the change of PPP development trend in the past decade through comparison with Ke et al. (2009). It also reveals the major research streams and points out the directions that the PPP research may go towards in the future. Moreover, this study is helpful to the practice as well. It can enhance the practitioners' understanding of the PPP development in the past decade. In addition, it identified the research institutions contributing the most in the area of PPP, which may serve as valuable reference for practitioners to locate the best institutions for consultancy or collaboration.

Facility maintenance is critical for the operation and management of petrochemical plants. Maintenance work completed with higher productivity eventually contributes to better plant performance. Mechanization reduces workforce demand and can increase the productivity of maintenance work. The purpose of this paper is to assess the current mechanization level of the maintenance activities and then identify applicable technology solutions for productivity improvement in petrochemical facility maintenance.

This paper utilizes a mechanization level assessment method for global maintenance data collection and analysis. Subject matter experts’ interviews and market scanning were used to identify corresponding technology solutions.

The study discovered numerous maintenance activities with lower mechanization levels and identified more than 50 technology solutions applicable for maintenance productivity improvement.

This paper provides a roadmap for petrochemical maintenance work participants to assess their mechanization level status quo and identify technology solutions for higher maintenance work productivity. The method adopted is replicable and customizable for further applications with different plant conditions in the petrochemical sector and other industrial contexts.

Web mining is one of the mining technologies, which applies data mining techniques in large amount of web data to improve the web services. Web traversal pattern mining discovers most of the users’ access patterns from web logs. This information can provide the navigation suggestions for web users such that appropriate actions can be adopted. However, the web data will grow rapidly in the short time, and some of the web data may be antiquated. The user behaviors may be changed when the new web data is inserted into and the old web data is deleted from web logs. Besides, it is considerably difficult to select a perfect minimum support threshold during the mining process to find the interesting rules. Even though the experienced experts, they also cannot determine the appropriate minimum support. Thus, we must constantly adjust the minimum support until the satisfactory mining results can be found. The essences of incremental or interactive data mining are that we can use the previous mining results to reduce the unnecessary processes when the minimum support is changed or web logs are updated. In this paper, we propose efficient incremental and interactive data mining algorithms to discover web traversal patterns and make the mining results to satisfy the users’ requirements. The experimental results show that our algorithms are more efficient than the other approaches.

The development of tourism in Taiwan is described in terms of the life cycle concept.

The purpose of this paper is to study the influence of number of feeding holes on the performance of aerostatic bearings with spindle rotation. In traditional design of aerostatic bearings, the selection of hole numbers is dependent only on spindle size. However, when the hole numbers of air feeding are enough, the performance of the aerostatic bearing cannot be enhanced by increasing the hole numbers.

The Reynolds equation is utilized to model the air film within bearing clearance at constant temperature and the state equation of adiabatic process is for air feeding within bearing clearance. The finite difference method with relaxation algorithm is utilized to determine the pressure distributions from discretized and coupled equations of flow continuity. The eccentricity, spindle speed, and the number and arrangement of feeding holes are considered in the analyses to determine the load capacity, attitude angle, and flow rate for the comparisons between various designs of aerostatic bearings.

It is seen from the simulation results that the aerostatic bearing designed with a small number of feeding holes and without locating at bearing bottom is most suitable for the spindle operating at high speed, while the bearing designed with a large number of feeding holes is suitable for the spindle operating at low speed, and the load capacity is increased with the increasing number of feeding holes for low journal speed.

The paper proposes an extensive database as a critical requirement in the design for number and arrangement of feeding holes of aerostatic bearings for the spindle operating at low or high speed.

The primary purpose of this study is to examine the relationships among a firm’s industrial cluster involvement, organizational learning and its ability to successfully adapt to external environment.

Field survey research method was used, and data were collected from 943 high-technology companies in the USA, China, Taiwan and Sweden. Multiple regression analysis, as well as mediation test, was conducted to analyze the data.

The study finds that being positioned in an industrial cluster enhances a firm’s learning and further leads to a firm’s desired adaptive outcomes.

Using self-reported data could be a potential limitation of this study. It would be preferable to have other forms of data for a study. Further, cross-cultural comparisons are needed to enhance our understanding in this multicultural setting.

The findings provide business executives, as well as policymakers, a new way of thinking in respect to how to develop holistic learning practices and improve inter-firm trust to appropriately adapt to the fast changing environment.

The major contribution of this study is an initial attempt to provide a comprehensive approach in analyzing a firm’s industrial cluster involvement. Further, the study attempts to empirically examine learning and cluster involvement in relation to organizational adaptation.

This study aims to understand the impact of market power and competition on earnings management, particularly discretionary accruals, in the Chinese and Taiwanese tourism industries. China and Taiwan differ not only in their political and social systems but also in their economic systems. The research aims to provide managers and investors with stock selection strategy in the decision-making process.

Accounting data consisted of 60 publicly traded travel companies in China and Taiwan from 2000 to 2014. Methodology included correlation matrix for the variables, univariate and multivariate regression and competition analysis.

Based on empirical results, the authors found a significant negative correlation between market power and discretionary accruals and market concentration (or lower market competition) and discretionary accruals in both the Chinese or Taiwanese markets. Although the Chinese travel companies enjoyed higher market power and market concentration, they engaged in less earnings manipulation than their Taiwanese counterparts as a result of the Chinese Government regulation.

Based on listed travel companies, generalization of the research results to entire tourism industry is limited. This study compares the travel companies’ practices of smoothing out earnings between China and Taiwan, thus helping managers and investors in making their financing, investment decisions.

This research contributes to the earnings management literature by examining a specific industry of tourism. This paper is original in two ways. The authors linked market power and market competition with earnings management simultaneously and then compared the Chinese and Taiwanese tourism industries in manipulating earnings.

Knowledge is perceived as very important asset for organizations and knowledge management is critical for organization competitiveness. Because the nature of knowledge is always represented as complex and varied, it is difficult to extend effectiveness of knowledge re‐use in organizations. In this article, an approach based on the Zachman’s Framework to externalize organizational knowledge into semi‐structured knowledge is developed, and eXtensible Markup Language (XML) is applied to transform the knowledge into documents. In addition, latent semantic indexing (LSI), which is capable of solving problems of synonyms and antonyms, as well as improving accuracy of document searches, is incorporated to facilitate search of semi‐structured knowledge (SSK) documents based on user demands. The SSK approach shows great promise for organizations to acquire, store, disseminate, and reuse knowledge.