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Computer vision (CV) offers a promising approach to transforming the conventional in-person inspection practices prevalent within the construction industry. However, the reliance on centralized systems in current CV-based inspections introduces a vulnerability to potential data manipulation. Unreliable inspection records make it challenging for safety managers to make timely decisions to ensure safety compliance. To address this issue, this paper proposes a blockchain (BC) and CV-based framework to enhance safety inspections at construction sites.

This study adopted a BC-enhanced CV approach. By leveraging CV and BC, safety conditions are automatically identified from site images and can be reliably recorded as safety inspection data through the BC network. Additionally, by using this data, smart contracts coordinate inspection tasks, assign responsibilities and verify safety performance, managing the entire safety inspection process remotely.

A case study confirms the framework’s applicability and efficacy in facilitating remote and reliable safety inspections. The proposed framework is envisaged to greatly improve current safety inspection practices and, in doing so, contribute to reduced accidents and injuries in the construction industry.

This study provides novel and practical guidance for integrating CV and BC in construction safety inspection. It fulfills an identified need to study how to leverage CV-based inspection results for remotely managing the safety inspection process using BC. This work not only takes a significant step towards data-driven decision-making in the safety inspection process, but also paves the way for future studies aiming to develop tamper-proof data management systems for industrial inspections and audits.

Although high-profile sport league website sponsorships have increased in popularity over the last decade, academic research on the topic has not kept pace, resulting in little knowledge of ways to improve the effectiveness of this sponsorship type. This paper aims to discuss this issue.

The current study examined the influence of three website-related variables (i.e. website interactivity, website fit, and website credibility), while controlling for a sponsor-related variable (i.e. sponsor familiarity), on consumer attitude toward the sponsor ad and willingness to click on its banner ad. Hierarchical multiple regression analyses indicated three main effects. Practical implications are discussed with limitations and suggestions for future research.

This study found three important things. First, website interactivity played an important role in attitude toward the ad and willingness to click on the banner ad. Second, website fit influenced attitude toward the ad and willingness to click on the banner ad. Third, website credibility influenced attitude toward the ad.

The findings suggest that in order to maximize online sports sponsorship outcomes, companies must keep in mind that the interactivity between the web users and the site should be regarded as the most pragmatic result which could come from the online sports sponsorship territory.