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This study aims to modify the human factors analysis and classification system (HFACS) to make it suitable for collapse accident analysis in construction. Based upon the modified HFACS, distribution patterns of causal factors across multiple levels were discerned among causal factors of various stakeholders at construction sites. It explored the correlations between two causal factors from different levels and further determined causation paths from two perspectives of level and stakeholder.

The main research framework consisted of data collection, coding and analysis. Collapse accident reports were collected with adequate causation information. The modified HFACS was utilized for coding causal factors across all five levels in each case. A hybrid approach with two perspectives of level and stakeholder was proposed for frequency analysis, correlation analysis and path identification between causal factors.

Eight causal factors from external organizations at the fifth level were added to the original HFACS. Level-based correlation analyses and path identification provided safety managers with a holistic view of inter-connected causal factors across five levels. Stakeholder-based correlation analyses between causal factors from the fifth level and its non-adjacent levels were implemented based on client, government and third parties. These identified paths were useful for different stakeholders to develop specific safety plans for avoiding construction collapse accidents.

This paper fulfils an identified need to modify and utilize the HFACS model for correlation analysis and path identification of causal factors resulting in collapse accidents, which can provide opportunities for tailoring preventive and protective measures at construction sites.

The extant social work literature reveals the need for transformation in the social work curriculum to strengthen its ecological orientation. Focusing on this orientation, this study aims to evaluate the knowledge, skills and value base of the curriculum from the perspective of social work academics in the context of sustainable development and ecological justice.

This qualitative case study recruited 11 participants via the criterion-based sampling method using the snowball technique. In-depth interviews were conducted for data collection. A thematic analysis of the data was conducted using MAXQDA 2022.

The findings revealed that education based on knowledge, skills and values in the human-centered work curriculum, which focuses only on the human component in the social work curriculum, is a significant obstacle to strengthening the curriculum’s ecological orientation. To achieve such an orientation, human-nature interaction should be emphasized under all three pillars, and ecological justice and sustainable development should be integrated into the social work curriculum.

To the best of the authors’ knowledge, this study is the first attempt in the field to focus on “ecological justice” and “sustainable development” as a way to strengthen the ecological orientation within the knowledge, skills and value base of the social work curriculum.

The purpose of this study is to forecast the mechanical properties of ternary blended concrete (TBC) modified with oyster shell powder (OSP) and shea nutshell ash (SNA) using deep neural network (DNN) models.

DNN models with three hidden layers, each layer containing 5–30 nodes, were used to predict the target variables (compressive strength [CS], flexural strength [FS] and split tensile strength [STS]) for the eight input variables of concrete classes 25 and 30 MPa. The concrete samples were cured for 3–120 days. Levenberg−Marquardt's backpropagation learning technique trained the networks, and the model's precision was confirmed using the experimental data set.

The DNN model with a 25-node structure yielded a strong relation for training, validating and testing the input and output variables with the lowest mean squared error (MSE) and the highest correlation coefficient (R) values of 0.0099 and 99.91% for CS and 0.010 and 98.42% for FS compared to other architectures. However, the DNN model with a 20-node architecture yielded a strong correlation for STS, with the lowest MSE and the highest R values of 0.013 and 97.26%. Strong relationships were found between the developed models and raw experimental data sets, with R² values of 99.58%, 97.85% and 97.58% for CS, FS and STS, respectively.

To the best of the authors’ knowledge, this novel research establishes the prospects of replacing SNA and OSP with Portland limestone cement (PLC) to produce TBC. In addition, predicting the CS, FS and STS of TBC modified with OSP and SNA using DNN models is original, optimizing the time, cost and quality of concrete.

As artificial intelligence (AI) continues to influence sports league and team operations, the brands providing these services are sponsoring sports properties to demonstrate and communicate their performance capabilities. This article examines Amazon Web Services (AWS) sponsorship with the National Football League (NFL). This sponsorship features functional congruence, which is when a sponsor has a participatory role in performing services for the property.

The AWS sponsorship with the NFL is captured by examining specially created websites, in-game sponsored elements, and television commercials aired during the broadcast of NFL games. The AWS website focuses on the services profiled in this article.

AWS provides the NFL with performance-based (on-the-field) and business-based (off-the-field) services. Of particular note, AWS capabilities help the NFL create the game schedule and address the issue of player health and safety. Demonstrating functional congruence appears to be especially valuable in business-to-business marketing where purchase decisions are more focused on brand reliability. AWS television commercials feature the tagline, “if AWS can do this for the NFL, imagine what it can do for your business.”

With the role of AI in sports in its relative infancy, it is imperative to document what services AI brands are performing for a professional sports league. Examining AWS sponsorship with the NFL provides a timely, practical example of how an AI brand communicates and positions itself using sponsorship as a marketing strategy.

The aim of this paper is a first attempt to map and describe airline information systems (IS) market, in the context of the latest trends affecting air services distribution, revenue management (RM) and passengers in the airline industry.

RM evolution has greatly affected airline revenues and load factors in a global environment characterized by fierce competition. The distribution of air services has shifted gradually from a model dependent on travel agents and other intermediaries toward a new trend of do-it-yourself (DIY) bookings through the Internet. The resulting new and significantly more complex environment mandates the connection between revenue management systems (RMS) and reservation systems (RS) through third parties (aggregators) that have emerged and are ready to perform this task. In this context, a market review has been carried out, following the approach of a structured literature review to illustrate this ecosystem.

Data collected from the vendors depict the market size and capabilities, highlighting that the market for IS in the airline industry is based on a relational triangle of dependence and competition that includes RS, RMS and aggregators.

Mapping both technological and functional backgrounds and the operation of current distribution systems and their linking with RMS and methods is deemed a necessity for identifying and describing the mechanisms that are defining the B2B relationship and the subsequent need to improve the ways current distribution schemes combined with RM applications are addressing changing market needs, reflecting the new behavioral models of the customers.

The purpose of this study is to investigate the mediating effect of perceived destination image attributes on the inter-relationship between online user-generated content’s information qualities (UGC) and tourists behavior by extending the Mehrabian and Russel’s stimulus-organism-response (SOR) model.

Based on the Malaysian tourism setting, a total of 255 valid responses from foreign inbound tourists were collected. Partial-least square-structural equation modeling (PLS-SEM) was used to test study hypotheses.

The PLS-SEM indirect path analysis confirms that cognitive image mediates the relationship between intrinsic information quality and behavioral intentions. Meanwhile, affective image significantly mediates the contextual information quality influence on behavioral intentions. Interestingly, however, this study found affective image mediated oppositely on the relationship between social information quality and behavioral intentions.

The study provides a better understanding of how destination image impacts the way tourists perceive different information qualities on behavioral intentions, which suggests the ongoing complex nature of these human-technology relationships within the tourism realm.

The study examines whether the Basel-III regulations impact the financial performance, operational efficiency and resilience of Indian banks. Further, the study tests whether there is a variance in the impact between private- and public-sector banks.

The study uses panel data regression on data from 16 private- and 12 public-sector banks from the years 2016–2022. Random-effect estimation is used, and robust standard errors are calculated.

The main findings indicate that the Basel-III regulations related to capital and leverage boost public-sector banks' financial performance and resilience. However, a similar impact is not detected in the case of private-sector banks.

The findings signify that the Basel-III framework does not address the differences between public and private-sector banks. Therefore, the policy implications are of practical importance and indicate that Basel-III regulations should not be considered a one-size-fits-all type of bank. Instead, policymakers should consider the structural differences between private and public-sector banks concerning Basel-III regulations.

The study addresses a significant limitation of the Basel-III regulations, which, in their current state, somehow fail to account for the differences between the public- and private-sector banks.

This study aims to analyse the influence of football fans' involvement on sponsor brand equity and their purchase intention toward the sponsoring brand. To achieve this, we specified a structural model examining the relationships between engagement, brand equity and fans’ purchase intentions.

The data for this study were collected using a structured questionnaire. Three football teams from the city of Quito (Ecuador) that compete in the first division of Ecuadorian professional football were considered. For data collection, both personal interviews and a web link were used. The personal interviews were carried out directly with the fans of the three teams in the vicinity of the stadiums, prior to matches of the Ecuadorian League.

The study concluded that a greater involvement of fans with a football club positively influences both the valuation of the sponsoring brand and the intention to purchase the product and/or service of the sponsoring brand.

This work contributes to the literature on brand equity. On the one hand, from the companies’ perspective, it is important for brand managers to realise that football fans constitute an especially significant section of the public to strengthen the brand and even to buy the products of the sponsoring brand. On the other hand, from the point of view of the clubs, it should be borne in mind that the involvement of the fans with the clubs constitutes a major factor in strengthening the sponsoring brands.

Most of the research in the literature has studied purchase intention towards the club brand but not towards the sponsoring brand. The research, which is applied to the football industry, conceptually extends the customer-based brand equity (CBBE) model by including the perspective of football fans’ involvement with their clubs.

This study aims to investigate the impact of the 2022 collapse of the Terra-Luna ecosystem on volatility correlations among digital assets, including U.S. Terra, Luna, Bitcoin, Ether, a Decentralized Finance index and U.S.-sourced conventional assets stocks, bonds, oil, gold and the dollar index. The primary research question addresses whether correlations increased between digital and conventional assets during the collapse.

A dynamic conditional correlation generalized autoregressive conditional heteroskedasticity model was used to examine changes in volatility correlations during the market crash. Specifically, a data set of 1,442 close prices from 30-minute interval candles of digital and conventional asset prices are considered to provide a granular view of market dynamics during the sample period from January 3rd, 2022, to May 31st, 2022, including the crash event.

While the dynamic conditional correlation plots of the model indicate increased volatility, the results do not offer sufficient evidence to confirm an increase in correlations between digital and conventional assets during the Terra-Luna downfall. Furthermore, the authors confirm Bitcoin’s role as a diversifier with oil and observe the dollar index maintaining a negative correlation with Bitcoin during the crash, supporting Bitcoin’s function as a hedge against the U.S. dollar. However, the findings during the crash diverge from previous studies, reflecting shifts in correlation patterns in broader market downturns. Specifically, the authors identify the need for adaptive capital allocation strategies, as gold’s oscillation during the period suggests it may not serve as an effective hedge during black swan events.

The findings provide insights for investors, financial institutions and regulators to improve risk management, portfolio diversification, trading strategies and the formulation of consumer protection regulations. In addition, the results underscore the challenges of mitigating risks beyond regulatory measures and emphasize the importance of exercising caution for investors.

This study addresses the research gap in changes between conventional and digital asset volatility correlations during collapses in the digital asset space.

This study aims to understand the role of the creative entrepreneur in the development of his business.

For the development of this study, primary data were collected through semi-structured interviews with five creative entrepreneurs in the Douro region. To triangulate the information, interviews were also carried out with four heads of local institutions, namely, a university, two municipalities and a business incubator.

The results obtained suggest that creative entrepreneurs play an important role in the development of their business, since creativity and innovation are fundamental for the sustainability of their business. However, the results suggest that the main difficulties experienced by this type of entrepreneurs are related to poor knowledge and interest in management. As a rule, poor management knowledge leads to the emergence of several obstacles, related to sales, stocks, production costs and bureaucracy.

This study contributes to the existing literature by providing new insights into the main difficulties of creative entrepreneurs, how they overcome these obstacles.

The results obtained provide important information for policymakers. The creation of management training programs and cooperation incentives can be important for the growth and development of this type of company. In addition, it shows that it is necessary to create specific policies to encourage and support creative entrepreneurs, since they have different specifications than most entrepreneurs.

This study provides empirical evidence on the ability to explore the intersection between individual entrepreneur creativity and business success. Furthermore, this study demonstrates: i) how your creative entrepreneur management knowledge affects your business; ii) the main difficulties of this type of entrepreneurs; iii) how they have overcome these difficulties; iv) how creative entrepreneurs cooperate with each other.