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This study aims to identify the impact of foreign direct investment (FDI) on economic growth in Morocco depending on each origin country, including Spain. This study uses a linear model to measure the marginal impact of FDI on the growth of Morocco. This marginal effect allows to compare the different effects of FDI among countries of origin. Also, the marginal effect helps to measure the rate of substitution between FDI in an easier way than the other specifications of the model. The second step determines the substitute for Spain in case he decides to divest its FDI from Morocco to maintain the economic growth.

Using data of FDI from 13 countries of origin from 1995 to 2020 and two estimation methods (Dynamic Ordinary Least Squares and Autoregressive model), this study aims to measure the marginal impact of the divestment of FDI from Spain on growth. Then this study estimates how much Morocco should attract FDI from other countries when Spain divests. This study uses the differential calculus, assuming a perfect substitution between FDI from different countries. This calculus implies an indifference curve between FDI from Spain and FDI from another country where we deduct the substitution rates between FDI.

The results indicate that the FDI from Spain and France are the only ones to impact positively Moroccan economic growth. The FDI coming from Germany, Holland, China and Turkey have a negative impact, whereas those from the USA, Italy, UK, Switzerland and Gulf countries: Saudi Arabia, Kuwait and UAE have an insignificant effect. Second, using the differential calculus, the result indicates that when Spain divests 1m dirhams of its investments from Morocco, France would have to increase its own by 0.1509m dirhams so that Morocco could maintain its economic growth.

The research focuses only on economic growth, neglecting the impact on other aggregates, such as total factor productivity, technology transfer and employment. Also, this research marginalized the sectorial analysis of FDI by the source to better understand the divergent effects.

This paper fills a research gap when analyzing the effect of FDI on the host economy depending on country-of-origin. In addition, it contributes to the body of literature by constructing the rate of substitution between the different sources of FDI to adapt to divestment policy.

Existing research on knowledge management processes (KMPs) and absorptive capacity (ACAP) is primarily conceptual and descriptive in nature, and empirical research confirming the real impact of KMPs when developing ACAP is lacking. Furthermore, the relationship between ACAP and organizational performance (OP) has not been adequately studied. Hence, the purpose of this paper is to introduce a comprehensive, delineated and integrated conceptual model which encompasses KMPs, ACAP and OP. Then, an empirical investigation is undertaken to test the relationships among the proposed study model variables.

In total, 245 questionnaires were useable. Partial least square 3.3.3 is utilized to examine the validity of the measurement model and test the hypotheses.

The findings of this study suggest that KMPs influence ACAP and ACAP affects OP. Finally, the results show that KMPs affect OP directly and indirectly through ACAP (mediator).

The results of this study help managers to ascertain the managerial practices that can be employed as well as determine the level of effort and resources necessary to enhance ACAP. Additionally, managers should shed additional light on the ACAP's positive implications for OP.

This study focuses on the conceptualization of KMP and empirically tests the effect of these individual processes on ACAP and on OP. Finally, the relationship between KMPs and OP, although implied, needs to be addressed empirically in the research literature through utilizing ACAP as mediator between KMPs and OP, this appears to be the first study to try to achieve this main objective.

Because of the importance of having enough sleep in life and health, this study aims to determine the effect of vitamin D supplementation on sleep quality and pregnancy symptoms (primary outcomes) and side effects (secondary outcome).

In this triple-blind randomized controlled clinical trial, 88 pregnant women with gestational age of 8–10 weeks and serum vitamin D concentration less than 30 ng/ml were allocated into vitamin D (n = 44) and control (n = 44) groups by blocked randomization method. The vitamin D group received a 4,000 IU vitamin D pill, and the control group received a placebo pill daily for 18 weeks. Independent t-, Mann–Whitney U and ANCOVA tests were used to analyze the data.

The post-intervention mean (SD: standard deviation) of total sleep quality score in the vitamin D and placebo group were 1.94 (2.1) and 4.62 (1.71), respectively. According to the Mann–Whitney U test, this difference between the two groups was statistically significant (p < 0.001). The mean (SD) of pregnancy symptoms in the vitamin D and placebo groups was 23.95 (16.07) and 26.62 (13.84), respectively, and there was no significant difference between the two groups based on ANCOVA test (p = 0.56). Considerable side effects were not observed in any groups.

This study was conducted due to the contradictory results of the effect of vitamin D on sleep quality and the high prevalence of sleep disorders and pregnancy symptoms.

This study aims to test the contagion effect of the Tunisian revolution on the Egyptian stock market. Thus, the purpose of this research is to distinguish the contagion effect from the simple interdependence between these markets.

This paper examines the contagion hypothesis between Tunisia and Egypt during the Arab Spring, using a DCC-MGARCH model to capture time-varying contagion effects and dynamic linkages in stock markets. Therefore, to identify the contagion effect from the simple interdependence, the authors apply the pure contagion test developed by Forbes and Rigobon (2002).

The findings indicate a contagion effect, as the EGX 30 index exhibited similar changes, positive or negative, as the Tunindex index during the period of the Tunisian revolution. Moreover, the analysis demonstrates the presence of an interdependence between the Tunisian revolution and the Egyptian market, emphasizing the interconnections between these two economies.

The findings provide investors with a better understanding of financial market dynamics in times of major political unrest, notably on the Tunisian and Egyptian markets. By understanding the contagion effect of the Tunisian revolution on the Egyptian stock market, investors can further explore the complexities of these markets in times of financial crises, which can help mitigate losses and identify strategic investment opportunities.

This study makes two significant contributions to the field. First, it addresses the scarcity of research specifically focused on the contagion effect during the Arab Spring, aiming to fill this gap by testing the contagion effect of the Tunisian revolution on a nearby market. Second, it extends the contagion test of Forbes and Rigobon (2002), which associates “pure” contagion with a significantly higher correlation between markets during a crisis.

Nowadays, communications, products, services and costs are customized through the internet technology. The main theory to continue competitiveness in the organizations is customer relationship management (CRM). CRM enables organizations to efficiently interact with customers and gather, store and examine their data for providing a complete view of them. On the other hand, the subject of cloud computing has increasingly become the bridge for the success of the CRM implementation. Therefore, this study aims to investigate the impact of cloud computing (new cloud facility, knowledge of information technology (IT), cloud security and cost) on the success of CRM systems.

The model and the questioners-based data are analyzed using the Smart PLS 3.0. The data were gathered based on 80 employees of three main agricultural companies in Iran.

The obtained results have indicated that all of the considered factors, new cloud facilities, knowledge of IT, cloud security and cost, play an important role in CRM systems’ success. Also, the evaluation and examination of the consistency and validity of the model are performed through the structural equation model.

First, the authors have conducted a study in a single region. It cannot be guaranteed that the results can be generalized to other regions. Second, for this cross-sectional study, the research design was conducted that showed constant relationships between variables. The research done for this study is cross-sectional. Third, because of time and financial restrictions, the authors have gathered data using a sample from a single location.

Proposing a new model for investigating of the impact of cloud computing (new cloud facility, knowledge of Information Technology (IT), cloud security and cost) on the success of CRM systems is the main originality of this paper.

Financial problems of football clubs during economic crises (such as COVID-19 pandemic) highlight the necessity of achieving economic sustainability. In addition, the economic sustainability of football clubs is accepted as a principle of the development of sports business. Therefore, it is reasonable to conduct a study with the aim of examining economic sustainability in the field of sports club management.

The present study adopted a qualitative approach to research and used semi-structured interviews in order to develop a framework for the economic sustainability of football clubs. A total of 13 members of football clubs in the Iranian premier league participated in this study.

The findings highlighted the fact that a number of factors, including media and social networks, entrepreneurship and development of club business, commercialization of the club, privatization, investment and ownership, strategic communication plan, financial management and management instability, promoted the economic sustainability of football clubs and improved their financial performance.

This study highlighted the importance of the changes in the structure of football clubs and the strategic plans for promoting entrepreneurship and commercialization. Moreover, it underlined the major role of the environmental and management components of football clubs in their financial sustainability.

The purpose of this paper is to explore how Lean and Six Sigma’s distinctive practices relate to potential absorptive capacity (PACAP) and realized absorptive capacity (RACAP). The paper seeks to understand which of the practices in Lean Six Sigma are needed to manage absorptive capacity systematically.

Partial least square based structural equation modeling (PLS-SEM) was used to test the theoretical model drawing on a sample of 125 manufacturing organizations in Malaysia. In addition to examining direct effects, the study also examines indirect effects using bootstrapping method to identify possible mediation effects proposed in the model.

The results explain that Lean’s social practices (LSP), Six Sigma’s roles structure (RS) and structured improvement procedure (SIP) positively influence potential absorptive capacity (PACAP). Meanwhile LSP, RS and focus on metrics (FOM) positively influence realized absorptive capacity (RACAP). SIP was found to influence RACAP through PACAP. The analysis reveals the combination of Lean Six Sigma practices that are required in managing PACAP and RACAP differentially.

The study is only confined to manufacturing industries in Peninsular Malaysia. Data collected were cross-sectional in nature. The application of Lean Six Sigma and how it influences absorptive capacity may get sturdier across time, and this may change the effect toward sustainability of firm’s competitive advantage. A longitudinal study may be useful in that context. The study also makes specific recommendations for future research.

The results of this study can be used by Lean Six Sigma practitioners to prioritize the implementation of Lean Six Sigma practices to develop absorptive capacity of the organization through PACAP and RACAP, which needs to be managed differentially as they exert differential outcomes. This would enable organizations to tactfully navigate and balance between PACAP and RACAP in accordance to business strategies and market conditions.

Absorptive capacity in Lean and Six Sigma context has largely been studied as a unidimensional construct or used as a grounding theoretical support. Therefore, understanding the multidimensionality through PACAP and RACAP provide insights on how to enhance and maneuver absorptive capacity through Lean Six Sigma systematically. The findings may pave the way for future research in enhancing the current knowledge threshold in Lean Six Sigma.

Although understanding how different resources are interconnected within firms is important, there are few studies that have focused on this area. This study aims to explore the unique and interactive effects of technical lean practices (TLPs) and human lean practices (TLPs) on the operational performance (OP) of manufacturing SMEs in Yemen, a less developed country (LDC).

Depending on data collected from 318 manufacturing SMEs in Yemen, the relationships in the proposed model were tested using hierarchical regression analysis via PROCESS Macro V. 3.5 in SPSS.

The results show that both TLPs and HLPs have unique effects on OP of SMEs. More importantly, both TLPs and HLPs have synergistic effects on OP.

The study would be of interest to Lean practitioners, as the results of this study can be used in firms to put a focus on how TLPs and HLPs have to interact when it comes to the successful implementation of lean manufacturing (LM).

Although research interest in LM is increasing, the interactive effects of TLPs and HLPs remain to be understood. This study provides an initial empirical evidence for performance outcomes from the interaction between TLPs and HLPs of SMEs in LDCs such as Yemen. Most of the previous studies on lean practices have focused on SMEs in developed countries, which may not fully apply to LDCs such as Yemen. This is helpful for SMEs' managers in the context of LDCs to understand how TLPs can further improve OP when interacting with HLPs.

This research aims to forecast university students' intentions to contribute to sustainable entrepreneurship (SE) in an emerging market. The study observed the factors influencing students’ sustainable entrepreneurial intentions (SEI) using an extended theory of planned behaviour (TPB).

A survey was conducted utilising an online questionnaire with a total of 332 college students in Gujarat, India. Partial least squares-structural equation modelling (PLS-SEM) was used to analyse the data.

The outcome of the present research sanctions that university support strongly impacts perceived behavioural control (PBC) and negatively affects attitudes towards sustainable entrepreneurship (ATT). The findings revealed that environmental concern positively influences students' attitudes and perceived behavioural control towards sustainable entrepreneurship. Whereas sustainable development goals knowledge (SDGK) negatively impacts attitude and PBC. Out of the three key factors of TPB used in the study, only the subjective norm negatively affects SEI among the respondents.

This research may be valuable to academicians and environmental strategists in determining the most essential elements that drive students to create sustainable firms. The findings of this study back up the assumption that TPB adaptation is required when assessing entrepreneurship-specific intents.

The current research aimed to regulate students' entrepreneurial intention (EI) in Gujarat, India, concerning a sustainable enterprise. This research appears to be one of the extremely scarce studies that utilise the extended TPB model to investigate the effect of university support (US), environmental concern (EC) and SDGK in the context of India.

This study aims to design a proper supply chain network for the vaccine industry in Iran, which considers several features such as uncertainties in demands and cost, perishability of vaccines, wastages in storage, limited capacity and different priorities for demands.

This study presents a mixed-integer linear programming (MILP) model and using a robust counterpart approach for coping with uncertainties of model.

The presented robust model in comparison with the deterministic model has a better performance and is more reliable for network design of vaccine supply chain.

This study considers uncertainty in the network design of vaccine supply chain for the first time in the vaccine context It presents an MILP model where strategic decisions for each echelon and tactical decisions among different echelons of supply chain are determined. Further, it models the difference between high- and low-priority demands for vaccine.