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This paper aims to discuss and bring to the attention of researchers and practitioners the data management issues relating to condition‐based maintenance (CBM) optimization.

The common data quality problems encountered in CBM decision analyses are investigated with a view to suggesting methods to resolve these problems. In particular, the approaches for handling missing data in the decision analysis are reviewed.

This paper proposes a data structure for managing the asset‐related maintenance data that support CBM decision analysis. It also presents a procedure for data‐driven CBM optimization comprising the steps of data preparation, model construction and validation, decision‐making, and sensitivity analysis.

Analysis of condition monitoring data using the proportional hazards modeling (PHM) approach has been proved to be successful in optimizing CBM decisions relating to motor transmission equipment, power transformers and manufacturing processes. However, on many occasions, asset managers still make sub‐optimal decisions because of data quality problems. Thus, mathematical models by themselves do not guarantee that correct decisions will be made if the raw data do not have the required quality. This paper examines the significant issues of data management in CBM decision analysis. In particular, the requirements of data captured from two common condition monitoring techniques – namely vibration monitoring and oil analysis – are discussed.

This paper offers advice to asset managers on ways to avoid capturing poor data and the procedure for manipulating imperfect data, so that they can assess equipment conditions and predict failures more accurately. This way, the useful life of physical assets can be extended and the related maintenance costs minimized. It also proposes a research agenda on CBM optimization and associated data management issues.

South Korean multinational enterprises (MNEs) have developed rapidly since the late 1950s. This chapter investigates South Korean MNEs’ talent management, more specifically international recruitment and selection policies and practices in their Chinese operations.

Using the snowball method through Chinese and Korean networks we recruited ten Korean MNEs to participate in this research. We conducted semi-structured interviews with key individuals within the organisations.

It reveals that South Korean MNEs tend to adopt the polycentric approach or a mixed approach of being polycentric and ethnocentric to international staffing, with the number of expatriates reducing gradually over time. South Korean MNEs adopt ‘one-way selection’ in recruiting and selecting expatriates and localise recruitment procedures and selection criteria for host-country nationals.

South Korean MNEs have paid inadequate attention to: firstly, expatriates’ career development; and secondly, personal and family issues emerging from expatriation and repatriation. This study highlights these issues.

Factors other than job performance might affect judgments about pay fairness for employees doing the same job, and the strength of these factors may differ across national cultures. This study uses a multivariate, policy‐capturing approach to compare the way that characteristics of employees—seniority, education, family size, individual job performance, and work effort—affect judgments about the fairness of pay received by employees in Korea and the United States. Regression models of the determinants of judgments about pay fairness by Korean and U.S. nationals were estimated. Korean pay fairness judgments were found to be relatively more sensitive to differences in seniority, education, and family size, and American pay fairness judgments were relatively more sensitive to variations in individual job performance and work effort.

The main purpose of this chapter is to study and analyze the impact of metaverse (mixed reality) on health tourism in the major tourist destinations in India and the global market. This chapter is made as a case study with detailed mentions of factors for tourism promotion for metaverse, sustainability, and crisis management. This chapter has tried to explain the role of the metaverse in tourism marketing and the cognitive level of influence the metaverse possesses among tourists which makes them prefer repeated visits. Also, the chapter tried to assess the existing conditions in the tourism industry which positively or negatively impact the health sector due to the role of metaverse. This chapter ends with giving inspirational notes to future researchers to examine the conceptual understanding of metaverse as a major tool for destination tourism emphasizing health, wellness, and happiness.

While there is strong agreement that globalization is spreading rapidly, there is no agreement on what globalization actually means and how it is measured. Giddens (1999) defines globalization as “the worldwide interconnection at the cultural, political, and economic level resulting from the elimination of communication and trade barriers.” He further defines it as “…a process of convergence of cultural, political, and economic aspects of life” (reported in Inkpen & Ramaswamy, 2006, p. 13). Govindarajan and Gupta (2001) define globalization as “growing economic interdependence among countries as reflected in increasing cross-border flows of three types of entities: goods and services, capital, and know-how” (p. 4).

This paper presents recently published resources on library instruction and information literacy. It provides an introductory overview and a selected annotated bibliography of publications covering various library types, study populations and research contexts. The selected bibliography is useful to efficiently keep up with trends in library instruction for busy practitioners, library science students and those wishing to learn about information literacy in other contexts.

This article annotates 424 English-language periodical articles, monographs, dissertations, theses and reports on library instruction and information literacy published in 2021. The sources were selected from the EBSCO platform for Library, Information Science, and Technology Abstracts (LISTA), Education Resources Information Center (ERIC), Scopus, ProQuest Dissertations and Theses, and WorldCat, published in 2021 that included the terms “information literacy,” “library instruction,” or “information fluency” in the title, abstract or keywords. The sources were organized in Zotero. Annotations summarize the source, focusing on the findings or implications. Each source was categorized into one of seven pre-determined categories: K-12 Education, Children and Adolescents; Academic and Professional Programs; Everyday Life, Community, and the Workplace; Libraries and Health Information Literacy; Multiple Library Types; and Other Information Literacy Research and Theory.

The paper provides a brief description of 424 sources and highlights sources that contain unique or significant scholarly contributions.

The information may be used by librarians, researchers and anyone interested as a quick and comprehensive reference to literature on library instruction and information literacy within 2021.