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In an attempt to attain a better understanding of the research work on building information modeling (BIM) adoption, this study aims to examine the criticality of BIM adoption barriers in the Middle East and North Africa (MENA) developing countries from the lens of the sociotechnical theory. Further, the study investigates the differences in the perceptions of various constructions players (owners, contractors and designers) to BIM barriers, as well as possible discrepancies in the perception of BIM users and non-BIM users to the significance of the perceived constraints.

To reach this aim, the study starts with a systematic evaluation and a critical review of the literature on BIM barriers. A set of 22 BIM adoption limitations was drawn from the literature which was used to design the survey. To capture a broad perception, a mixed approach was used, and data were collected through an interview study and a survey involving Architecture, Engineering and Construction professionals in the MENA construction sector. The collected data were analyzed using the mean score, standard deviation and nonparametric tests. The further principal component analysis (PCA) grouped the barriers to uncover the latent factors of BIM barriers.

The actors ranked the barriers as follows: lack of knowledge and BIM awareness, commercial issues and investment cost, lack of skills and BIM specialist, interoperability and lack of client demand. The examination of the PCA resulted in four underlying BIM limitation factors namely: human, technological, structural and financial. The analysis of the ranking indicated that 16 of the 22 barriers are considered critical in the MENA area. The results of the Mann–Whitney test indicated that there is a statistically significant difference in perceptions of BIM users and nonuser for seven barriers, pointing out that users care most about the financial barriers; however, nonusers are mostly concerned with structural and technological barriers. However, the results of the Kruskal–Wallis test indicated that there is no statistically significant difference in the perceptions of the three categories of stakeholders in ranking all BIM barriers.

The outcomes will back policymakers and construction participants with the knowledge to develop policy propositions that can positively affect BIM adoption in the construction industry. The significance of this study lies in being one of the very first explorative investigations that comparatively and empirically explored BIM adoption barriers across the whole MENA developing countries.

While several research studies have examined BIM adoption barriers in various countries, none to the best of the authors' knowledge have attempted to study the whole MENA region as one entity, and none highlighted the impact of user's roles on their perception of adoption barriers within their community. The results contribute to the discussion of the relationship among practitioners' level of involvement in BIM projects and their perception of adoption barriers which is underrepresented in extant studies. The above can assist with prioritizing the barriers that are considered to be more significant given the characteristics of the community under study. The result revealed the value of the structural and human attributes in prioritizing BIM adoption barriers within the MENA construction industry.

This paper researches the diffusion patterns of various BIM functionalities across the Middle East and North Africa (MENA) construction industry.

The study grounds on the innovation diffusion theory proposition that both the internal and external factors drive the widespread adoption of innovative trends. The study empirically analyzes the diffusion patterns of BIM by employing and comparing three mathematical influence models: internal, external and mixed models.

The results of the questionnaires point out that the mixed model as having the highest explanatory power and shows that the internal influence factors outperform the external factors in affecting the diffusion of BIM functionalities in the MENA Architectural, Engineering, and Construction (AEC) industry.

This paper can be of significant value for academic researchers as well as BIM business developers who are interested in emerging markets via providing an enhanced understanding of the adoption process of different BIM functionalities as well as a theoretical basis for explaining the diffusion patterns of information technology innovations in the AEC industry.

This study is among the first applications of the influence models to examine the adoption of BIM functionalities in the AEC industry and the very first across the MENA region.

Gambling has been a part of the human experience for a long time, perhaps as long as humans have interacted socially. Its literature has been accumulating since ancient times, with references found in some of the earliest records. Throughout history gambling has had a bad reputation because of the multitude of social problems attributed to it. The gambling industry today refers to the activity as “gaming,” which does not sound quite as notorious.

This chapter is concerned with the estimation of spillover effects when outcomes arise as a consequence of bilateral interactions instead of from individual actions. In this type of environments, outcomes are generated on links instead of on nodes of a network, like bilateral prices in over-the-counter markets. The author proposes a link-based spatial autoregressive (SAR) model and discusses identification conditions and a two step least square estimation procedure. The author shows analytically that using a standard node-based SAR, which models nodes instead of links’ outcomes, produces misleading results when the data generating process is link-based. The methodology is illustrated using Monte Carlo experiments and real data from an interbank network.

This paper aims to provide empirical evidence on competitive balance in the “big five” European football leagues, namely, the English Premier League, French Ligue 1, German Bundesliga, Italian Serie A and Spanish La Liga.

This paper uses recognised measures of competitive balance to measure levels of concentration (within-season competitive balance) and dominance (between-season competitive balance) in the selected leagues over 22 seasons between 1995/96 and 2016/17.

French Ligue 1 emerged as the most balanced league in terms of both concentration and dominance measures. The analysis also points to a statistically significant decline in competitive balance in all leagues apart from Serie A (Italy).

The findings of this study are of concern for the league organisers. Competition intensity is a key component of a sport league, and a league that is dominated by one or a select few clubs is less attractive within the marketplace. This paper presents challenges at the league governance level for the five leagues examined.

This chapter is devoted to sustainable human resource management that leads to sustainable competitiveness. It features the ways human resources can be managed to carry out sustainable goals and the impact of sustainability on employees' attitudes and behaviours. The aim of this study is to explore the complex objectives of sustainability and human resource management and empirically investigate the dynamic relationship between human resources in science and technology and sustainable competitiveness in the case of 35 European countries. Our contribution emphasizes this interrelationship and its causality. For this research, we applied a vector auto-regression (VAR) model, and the Granger causality method to examine the relationship between human resources in science and technology and sustainable competitiveness. A panel data included 314 observations between 2012 and 2021. The panel VAR for analysing the impulse response function was enriched with the 5% and 95%, using Monte Carlo simulations. The research results revealed bidirectional causality in the European countries between human resources in science and technology and sustainable competitiveness. Human resources in science and technology trigger sustainable competitiveness and vice versa. As an element of originality, our study demonstrates that human resources in science and technology contribute to sustainable performance, and, on the other hand, a more competitive and sustainable environment contributes to the development of human resources in science and technology. Thus, the chapter outlines the role of human resources in science and technology with regard to sustainable human resource management (HRM), and how to navigate these objectives so that they can positively influence sustainable competitiveness.

Using the Program for International Student Assessment (PISA) surveys (2003–2015), this chapter explores the relationship between the gender gap in math test scores and computer (digital devices) gaming, as a potential “swimming upstream” factor in the quest to close that gap. Using a decomposition based on a pooled hybrid specification, we attribute two to three points (from 13% to 29%) of the gender math gap to gender differences in the incidence and returns to intense gaming. The comparison of the negative versus positive girl-specific effects found for collaborative games versus single-player games suggest a potential role for gaming network effects.

We perform a comprehensive Monte Carlo simulation analysis of a variant of the nonstationary continuous-time stochastic growth model with Cobb–Douglas technology developed in Feicht and Stummer (2010), where for every (short-term, middle-term, long-term) time horizon the corresponding dynamic transitional sample path values were derived explicitly, that is, in closed form.

In particular, we study how much the outcoming (e.g., German empirical data adjusted) economy values are affected by changes of the involved economically meaningful parameters. Furthermore, we obtain realistically low savings rates, as well as a reasonably fast speed of recovery in situations where the abovementioned model economy is suddenly and considerably disturbed by a “crash” (macroeconomic disaster).

The purpose of this paper is to examine competitive balance in European football leagues before and after the inception of Financial Fair Play (FFP) regulations by Union of European Football Associations in 2011, designed to bring about financial stability and improve competitive balance in the European game.

The research focuses on the top division football leagues in England (English Premier League), Germany (Bundesliga), France (Ligue 1), Italy (Serie A) and Spain (La Liga). The paper is organised into two distinct time periods: pre-FFP, comprising the six seasons between 2005/2006 and 2010/2011; and post-FFP, comprising the six seasons between 2011/2012 and 2016/2017. The paper uses recognised measures of concentration and dominance to measure competitive balance.

The results show a statistically significant decline in competitive balance post-FFP for leagues in Spain, Germany and France but not for England and Italy. Furthermore, the results report significantly higher levels of concentration and dominance by a select number of clubs in Germany.

The paper is one of the first to analyse competitive balance in this way both pre- and post-FFP. Whilst the paper cannot demonstrate a causal link between FFP and competitive balance, there are strong indications that competitive balance has been adversely affected (for some leagues) since the regulations have been imposed. To that end, the paper argues that FFP has had “unintended consequences” in respect of competitive balance.

This study draws on the natural resource-based view to analyze the effects of technologies, managerial commitment, and firm strategy on sustainability performance, in terms of both environmental and social profits. It also examines how the effect of green technologies on sustainability performance can be triggered by a managerial commitment to sustainability issues, and by the adoption of a prospector strategy. Multiple linear regression was used to test research hypotheses on a sample of 426 Spanish tourism firms. The results provide important insights into the importance of the adoption of explorer strategies fostering the strategic exploitation of green technologies to obtain new efficient processes, organizational procedures, and products. This research also shows the contingent moderating effect that managerial commitment exerts on the strategic implementation of green technologies for sustainability performance.