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In Hong Kong, over 20,000 private residential buildings will be 50 plus years old by 2039. However, building maintenance has not been owners’ popular interest because of the high cost as well as the complexities in justifying whether the quantities and prices of the maintenance works are reasonable. This paper therefore aims to validate the practicality of adopting Scan-to-BIM: Terrestrial Laser Scan (TLS) and Building Information Modelling (BIM) to perform quantity take-offs (QTO) for estimating building maintenance costs.

A 64-year-old tenement building was selected to conduct a case study. In this instance, the building had undergone a Scan-to-BIM survey approach to generate QTO for the bills of quantities for external painting works. The Scan-to-BIM approach includes site visit, positioning of scanning equipment, assignment of circular scan routes, point cloud registration and identification of residual error. After that, time, cost and quality data were logged into contrast with QTO on as-built plans for external wall plastering works.

The “time”, “cost” and “quality” of the Scan-to BIM practice were then examined and compared with the prevailing practices of manual measurements on as-built drawings. As noted from the results, the initial cost of Scan-to BIM is high, owing to the cost of equipment, software and capable available operators. However, the authors identified that the time and cost can be significantly minimised by developing and implementing efficient practices such as preparing a detailed scan plan, equipping modeller with quantity surveying knowledge, using automated object recognition and 5D BIM software packages such as Vico Office and CostX.

The upshot is that Scan-to-BIM could be one of the measures to advance the clarity in the QTO and estimated price of the maintenance projects.

The practicability of Scan-to-BIM has received limited attention on existing building maintenance project. The Scan-to-BIM approach was examined using a case building of a 64-year-old tenement building. The approach demonstrated in this research study is promised to advance the clarity in the QTO and estimated price of maintenance project.

Focuses on the year 2000, reviewing the periodical literature of information and library services management, and of the relevant literature from the field of management in general. Notes the themes of major conferences in the field of information and library services management, and of reference tools for library managers.

Celebrity endorsement advertising receives increased attention in the relevant literature. Approaching from the abnormal stock market return perspective, the purpose of this paper is to investigate the potential risks and expected profit associated with celebrity endorsement. The factors that are included in this investigation are the attributes relating to celebrities and the endorsed firms.

Data were collected from over 300 firms that use celebrity endorsements and are listed in two of the biggest stock exchanges in China. The study uses the event study method to analyze the proposed relationships.

Some of the findings in the current study are consistent with or contrast to those in previous research. Specifically, this study finds that the celebrities’ demographics such as age and gender have little influence on financial return of the endorsed firm. However, investors respond rather negatively toward using actor celebrities to endorse a product or a brand, especially for high-tech products. The match-up endorsement has a positive effect on the firm’s abnormal return.

The current study has implications for the relevant literature and practitioners. Very few studies have used stock market return to measure celebrity endorsement effectiveness. This study provides insights into the influence of various factors associating with celebrities and the endorsed firm, extending the celebrity endorsement research into a broader domain. In particular, this study has practical implications for firms that have used or intend to use actor celebrity endorsement.

This study is the first to use event study method to comprehensively analyze influence of attributes relating to both the celebrities and the endorsed firms in China on stock market return.