Entrepreneurial determinants of Moroccan business failure: entrepreneurial behaviors and attitudes

The main objective of this article is to determine the entrepreneurial determinants of Moroccan business failures. To address our research problem, we employ multiple regression models. Entrepreneurial behaviors and attitudes are sourced from the dataset provided by Global Entrepreneurship Monitor (GEM). Additionally, we enhance our dataset by incorporating entrepreneurial variables from the World Bank entrepreneurship database and OMPIC. Applying variable selection techniques and models selection criteria, such as AIC and BIC, the main results indicate that the model composed of variables related to entrepreneurial behavior and attitudes variables, specifically fear of failure rate, perceived capabilities rate, and perceived opportunities rate, better explains bankruptcy rate. This empirical study represents the inaugural examination in Morocco employing entrepreneurial behaviors and attitudes variables to assess their impact on business failure. The findings from this article could open up new perspectives for identifying entrepreneurial variables that explain business failure in Morocco. To the best of our knowledge, our research is the first to explore this topic in this country

R&D impact in the changes of economic structure of population

Research and Development (R&D) plays crucial role in the technological progress, and thus it can be seen as facilitator of the economic development. It is widely known that the importance of the research is not only in economic aspect but also in the technologic aspect. On the other hand, not all of countries have possibility to develop such researches, as it requires huge financial support, and professional human capital. As a result of these investments and technological developments, changes on the employment rate in each sector are evident. The study is focused on measuring the impact of R&D in the changes of the economic structure of population. In the study are included thirty world countries divided in three groups: ten countries with largest GDP, ten with largest GDP per capita and ten Balkan countries. Structural Equation Model is used to measure the impact of almost three decades until pandemic COVID-19. From the analysis conducted, the results show that, investments in research and development and innovation have positive impact on the economic structural of population

Uncertain new technologies – economics of ground effect vehicle operator

New technologies and vehicle types have become available for transportation and logistics in the recent decade. One of the such is Ground Effect Vehicle (GEV), which in new reinvented form is using electric propulsion, new lighter materials and could be without onboard pilots. These could be used in coastal and archipelago types of areas, where distances are relatively short. In this research is introduced economic and business case evaluation of GEV in the context of Canary Islands. Aim is to build understanding from financial success of GEV. Simulation model incorporates number of uncertainties, like usage life-cycle of fleet, fleet investment cost, interest rates, lower cargo volume development in the early years and possibility for passenger transports. Analysis shows that success depends quite much on cargo pricing, and the interest of customers to pay premiums from faster delivery. Being operator of GEV offers possibility for profitability, but if most of uncertainties take place, then investments might increase too much and result on significant losses. Research provides added value on discipline development and better alternative on spreadsheet and cost focused models

The six-stage model of profitable growth and entrepreneurship in Finland: a Delphi study

Our research has focused on addressing the following research questions for the growth strategies of SMEs: (1) What are the stages of profitable growth, and what factors contribute to these growth stages? (2) Which critical factors must be addressed for an organization to progress to the next stages of growth? (3) What is the importance of management in identifying and addressing critical growth factors? We have utilized the Delphi method and emphasized the role of company managers who have experienced profitable growth process as experts. Based on our findings, we have developed a Six-Stage Model of Profitable Growth (SSMPG), which we explain in detail in the article. The SSMPG model is compared to the prevailing Death Valley and Startup growth company development models. The article identifies the most crucial factors for the profitable growth of SMEs at different stages of growth within the SSMPG model. This model emphasizes sales, profitability, the individual characteristics of the entrepreneur, and leadership, in contrast to the debt-driven growth models emphasized in the other approaches. Further research could explore developing a start-up business culture using the new phasing model in Europe and elsewhere. In the future, it is important to consider profitability at both the company level and within clusters and regions

Parametric analysis of wing planforms to determine an optimal wing design

In designing of Unmanned Aerial Vehicle (UAV), selection of an optimal wing design is a crucial part of complete UAV design process. This research explores the different aerodynamic parameters and the comparison of different wing planforms to ascertain the optimal wing design and improve the overall efficiency of an UAV. The computational analysis using XFLR5 and Open-VSP software is studied to investigate the various aerodynamic parameters of wing. The impact of aspect ratio, taper ratio, wing reference area, coefficient of lift and drag, and stall angle of attack are examined using the Analytical Hierarchy Process (AHP). The results emphasize the importance of different wing planforms and create easier selection of planform for the UAV designers. The study does not only provide the values for operating parameters but also offers practical guidance for design optimization. The semi tapered, and moderate tapered (λ = 0.5) wings are the good choice to select at the initial phase of design. The highly tapered and elliptical wings provide higher lift but are not efficient in the stalling conditions. Furthermore, the rectangular wing provides elliptical lift distribution, but it is inefficient in the lift generation

An assessment of an urban protected area through a space syntax approach: the case of Ordu, Turkiye

Traditional architecture, preserved and integrated into urban life, has the potential to become a point of attraction for cities and contribute to their image. The aim of this study is to analyse the configurational characteristics of the urban conservation area and its immediate surroundings, which constitute the historical core of the city of Ordu, and the general condition of the registered architectural examples in the area. The evaluations of the spatial configuration are based on the analyses of connectivity, global and local integration, which are the basic parameters of the spatial sequence method. As a result of the study, it can be seen that the two main traffic arteries of the area, Sıtkı Can Street and Dr Osman Hilmi Memecan Street, have the highest sequence values. Although it can be seen that Sıtkı Can Street, one of these traffic arteries, is more advantageous than other streets in terms of the registered civil architecture stock in the area, it is important that restoration processes should be implemented as soon as possible in order to ensure structural and historical continuity and not to lose the registered civil architecture examples located in different parts of the study area

Bibliometric mapping of MCDM methods in AEC industry: identifying trends for sustainable development

This study investigates integrating multi-criteria decision-making (MCDM) approaches to improve sustainability in the architecture, engineering, and construction (AEC) industry. Through a systemic literature analysis done through the Scopus database and the visualization of key elements through VOSViewer, the study examines the applications of MCDM in sustainable construction, with particular attention to material selection, contractor procurement, waste management, risk assessment, and technological integration, which are essential elements towards sustainable development of the AEC industry. The results highlight how common and successful hybrid MCDM and MADM methods are. These approaches provide all-encompassing answers to challenging problems, from project mitigation to material procurement. The evaluation emphasizes the value of MCDM methods in supporting sustainable practices across the construction lifecycle, streamlining supply chains, and enabling well-informed decision-making. In the end, this study emphasizes how critical it is to carry out further research and apply MCDM frameworks to promote sustainable development in the construction sector and balance development objectives with the protection of the environment and the welfare of society

The practices of public spaces in traditional neighborhoods: case of the Argoub district, city of M\u27sila-Algeria

Public space seems to have become one of the key elements of local development policies. As such, our study will focus on a traditional neighborhood called Argoub located in the center of the city of M’sila in Algeria, the public spaces of this neighborhood have long been the fundamental structure and the filter of reading of the neighborhood, they have deteriorated and to remedy this problem, the Observation shows that the public space in this district is distorted and its use for heterogeneous purposes than those previously planned, but this diversion of use continues to fragment the public space and reduce it to an obstructed space. The local authorities have carried out limited urban improvement of these spaces to perpetuate and improve their urban quality. This study aims to measure the quality of these spaces, to clarify the notion of traditional public space, and to identify its different practices. For this research, we chose as a methodology recurring observation reinforced by situational observation, while taking into account the urban and historical context of this district. Without permanent control from local authorities, illegal interventions by residents in the spaces in question have completely changed the alleys into stifling spaces used only for transition and not for social interaction. Despite the limited intervention of urban planning services to safeguard the urban fabric network and revive traditional public spaces, the ongoing change practices by residents have had a negative influence on the urban landscape of the neighborhood in general. As such, we will be faced with the following challenges: security, physical and visual quality, and economic attractiveness must, at the end of planning, require a real global reflection on these different urban forms so that their management is coherent and thoughtful. In this regard, the obvious question is: what practical measures should be taken to respond to the problems of landscape and spatial qualities of these spaces and contribute more generally to their sustainability

Accuracy assessment of a three-dimensional model obtained using the LiDAR sensor of the iPhone 13 Pro Max

Scanning of an educational classroom was performed using the LiDAR sensor of the iPhone 13 Pro Max. Comparison was conducted between the lengths of lines and coordinates determined from the model scanned by the LiDAR sensor with precise data measured using the Leica TCR 405 ultra electronic total station and determined from the model created photogrammetrically from images captured with the Sony Cyber-shot DSC-RX100 camera. The Root Mean Square Error (RMSE) of distance and spatial positioning was calculated for the LiDAR-scanned model

Determinants of AI adoption intention in SMEs. Romanian case study

The paper investigates the drivers and barriers that encourage or hinder the adoption of artificial intelligence (AI) technologies within Romanian SMEs. By using the Technology-Organisation-Environment (TOE) framework, we examined the role of several factors from each TOE dimension in predicting the AI adoption behaviour. The factors were constructed through factor analysis followed by the estimation of a linear regression model. Partial least squares structural equation modelling was then used in order to further explore the relationships and to check the robustness of the linear regression model. Our findings highlight the significant role played by leadership, organizational readiness, as well as the “push-and-pull” effect of competitors and customers in encouraging SMEs to adopt AI technologies. However, in the case of Romania, specific challenges related to a lack of digital skills among employees, a limited understanding of the relative advantage that digitalisation can offer, as well as a lack of marketing efforts from the side of vendors make it difficult for SMEs to consider the implementation of AI technologies. This exploratory study seeks to understand the underlying trends of the phenomenon and serves as a stepping stone for vendors, managers, as well as researchers to better understand the market for AI tools and solutions among Romanian SMEs