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“Metaverse” has become a buzzword in the Chinese stock market. However, it remains unclear whether a firm's metaverse-related announcements will elicit positive stock market reactions. Whether and how stakeholder reactions are influenced by a firm's metaverse-related readiness also needs to be further explored. This study aims to discuss the aforementioned objective.

The authors derived a set of factors based on readiness theory and business ecosystem literature and extend them into the context of the metaverse. The authors used a sample of 642 Chinese listed firms in 2021 to investigate the hypotheses through the event study.

The study’s findings show that metaverse coverage induces a positive stock market reaction, but it is subject to three moderating effects. The authors introduce the novel concepts of IT readiness, ecosystem readiness and digital infrastructure readiness as the moderators. Stakeholders perceive metaverse announcements as overhyped, and stock prices do not fluctuate significantly after a metaverse announcement when the listed firms are not ready to embrace the metaverse.

This study is one of the first that introduces the event study method into the metaverse research, and it reveals that different levels of readiness influence stakeholders' evaluations and reactions to corporate metaverse coverage. This provides empirical evidence on metaverse development in China from the stock market's perspective.

Human resource allocation is considered a relevant problem in business process management (BPM). The successful allocation of available resources for the execution of process activities can impact on process performance, reduce costs and obtain a better productivity of the resources. In particular, process mining is an emerging discipline that allows improvement of the resource allocation based on the analysis of historical data. The purpose of this paper is to provide a broad review of primary studies published in the research area of human resource allocation in BPM and process mining.

A systematic mapping study (SMS) was conducted in order to classify the proposed approaches to allocate human resources. A total of 2,370 studies published between January 2005 and July 2016 were identified. Through a selection protocol, a group of 95 studies were selected.

Human resource allocation is an emerging research area that has been evolving over time, generating new proposals that are increasingly applied to real case studies. The majority of proposed approaches relate to the period 2011-2016. Journals and conference proceedings are the most common venues. Validation research and evaluation research are the most common research types. There are two main evaluation methods: simulation and case studies.

This study aims to provide an initial assessment of the state of the art in the research area of human resource allocation in BPM and process mining. To the best of the authors’ knowledge, this is the first research that has been conducted to date that generates a SMS in this research area.

Effective maintenance of construction supply chains is paramount to business continuity during the pandemic. Focusing on a large private Australian construction company, this research aims to investigate to what extent the current pandemic has affected the daily operations of this company. This research touches on the broader effect on the industry, while it narrows the focus on how effective construction supply chain management can minimise a pandemic's negative impact on a company. The critical question will be how private contractors that primarily rely on social infrastructure projects can fortify their supply chains and general operations during the global pandemic.

A mixed qualitative and quantitative approach is employed in this research. Based on literature review and question design, data is collected through interviews with various stakeholders. Moreover, operation data is also collected from the case company to support the results and findings.

The respondents have generally agreed that the case company has effectively managed its supply chains to this point of the pandemic through the implementation of supply chain monitoring processes and maintaining stable relationships with stakeholders. This is supported by the operation data of the case company.

This is timely-conducted research, and it is original research with invaluable operation data. This case study is conducted during a pandemic and provides lessons learned for global supply chain management in the post-pandemic period.