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The study is interested in knowing “the role of the organizational structure as a mediating variable of the relationship between the information technology and organizational communication”.

The study was conducted in several service companies, and the study adopted the questionnaire as a basic tool for the data collection on the practical side, as 267 opinions were surveyed, in addition to conducting personal interviews, and the normal distribution of data was tested, analyzing, describing and diagnosing study variables, testing correlations and determining direct effects.

Findings show that there is no direct and significant statistical impact of information technology on organizational communications. Whereas there was a positive, direct and statistically significant impact of information technology on the organizational structure. There was also a positive, direct and statistically significant effect of the organizational structure on organizational communication.

This paper is restricted to the role of the organizational structure as a mediating variable of the relationship between the influence of information technology on organizational communication.

As part of the practical implication, the paper suggests the need to increase support and attention to the importance of information technology in service organizations in order to increase coordination and organizational communication and achieve a high ability to explore and exploit ideas.

Apart from the fact that several companies were engaged, the organizational structures of these companies were engaged too to examine the impacts of Information technology (ICT) on organizational communication.

Given the growing emphasis among scholars, practitioners and policymakers on financial sustainability, this study aims to explore the applicability of machine learning techniques in predicting the financial performance of microfinance institutions (MFIs).

This study gathered 9,059 firm-year observations spanning from 2003 to 2018 from the World Bank's Mix Market database. To predict the financial performance of MFIs, the authors applied a range of machine learning regression approaches to both training and testing data sets. These included linear regression, partial least squares, linear regression with stepwise selection, elastic net, random forest, quantile random forest, Bayesian ridge regression, K-Nearest Neighbors and support vector regression. All models were implemented using Python.

The findings revealed the random forest model as the most suitable choice, outperforming the other models considered. The effectiveness of the random forest model varied depending on specific scenarios, particularly the balance between training and testing data set proportions. More importantly, the results identified operational self-sufficiency as the most critical factor influencing the financial performance of MFIs.

This study leveraged machine learning on a well-defined data set to identify the factors predicting the financial performance of MFIs. These insights offer valuable guidance for MFIs aiming to predict their long-term financial sustainability. Investors and donors can also use these findings to make informed decisions when selecting their potential recipients. Furthermore, practitioners and policymakers can use these findings to identify potential financial performance vulnerabilities.

This study stands out by using a global data set to investigate the best model for predicting the financial performance of MFIs, a relatively scarce subject in the existing microfinance literature. Moreover, it uses advanced machine learning techniques to gain a deeper understanding of the factors affecting the financial performance of MFIs.

This study aims to identify the intentions of immigrant entrepreneurs to start new projects by investigating the role of influence of institutional support, social context, cultural intelligence, self-efficacy, optimizing personality traits and hierarchy legitimacy on intentions to start new ventures. In addition, the strength of the relationship for such factors and intentions to start new ventures was determined through the moderator role of easy access to venture capital.

To this end, this study complements the academic literature by integrating the structural equation modeling (SEM) and multiple-criteria decision-making (MCDM) techniques. Thus, the MCDM (i.e. analytic hierarchy process and vlsekriterijumska optimizcija i kaompromisno resenje [VIKOR]) is an effective approach to solving the problem of complexity and evaluation (i.e. multiple evaluation criteria, important criteria and data variation). Hence, to complete the strategic guideline solution, this study uses a survey for collecting data from 202 immigrants in Malaysia, Pakistan, Nigeria and Singapore.

The results from SEM prove several critical factors of immigrants’ entrepreneurs. These factors of immigrants’ entrepreneurs can be vital for academics and host countries. By focusing on these aspects and by developing some personality traits (such as self-efficacy and optimal personality traits), these factors can contribute a good deal to increasing the capabilities of immigrant’s entrepreneurs toward entrepreneurial intentions. In the validation, the statistical objective method indicates that the immigrants' prioritizations in all countries are supported by the systematic ranking. Thus, entrepreneurial intentions for immigrants can pursue the order proven by the VIKOR results.

This study has some significant practical and theoretical implications. Practically, the study findings will enable managers to develop strategies to support immigrants for entrepreneurial intentions to start new ventures.

The novelty of the context under given circumstances of global environment adds to the originality of this study. Several previous studies have also emphasized the need for this type of study in other contexts. The findings can call managers’ attention toward a critical issue of immigrants’ entrepreneurial intentions to start new ventures.

The internet creates ample opportunities to start a mobile social commerce business. The literature confirms the issue of customer trust for social commerce businesses is a challenge that must be addressed. Hence, this study aims to examine the antecedents of trust in mobile social commerce by applying linear and non-linear relationships based on partial least squares structural equation modeling and artificial neural network model.

This study applied a non-linear artificial neural network approach to provide a further understanding of the determinants of trust in mobile social commerce based on a non-linear and non-compensatory model. Besides, a questionnaire was distributed to 340 social commerce customers in Malaysia.

The conceptual framework for investigating trust in mobile social commerce has various advantages and contributions to predicting consumer behavior. The results of the study showed there is a positive and significant relationship between social support, presence and unified theory of acceptance and use of technology2 (UTAUT2). In addition, UTAUT2 has fully mediated the relationship between social support, presence and trust in social commerce. Finally, the results concluded the relationship between UTAUT2 and trust in social commerce would be stronger when the diffusion of innovation and innovation resistance is high and low, respectively.

The current study provides a novel perspective on how customers can trust social m-commerce to provide real solutions to managers of encouraging e-marketing among consumers.

This paper shows how businesses can develop trust in social m-commerce in Malaysian markets. The findings of this study probably could be extended to other businesses in Asia or other countries. Because trust in social e-commerce has a dynamic role in consumer behavior and intention to purchase.

This study provided a new perspective on mobile social commerce and paid more attention to an investigation of such emerging commerce. The originality of this study is embodied by investigating an integrated model that included different theories that presented new directions of trust in mobile social commerce through social and behavioral determinants.

This study examines the effect of open-mindedness (OM) and humble behavior on innovation through the mediator role of learning.

A quantitative design was adopted to collect data through a questionnaire-based survey distributed to 400 employees at international oil companies operating in Iraq.

The results indicate a direct positive of learning on innovation. Hence, there is a natural and partial indirect effect of humble behavior on innovation and a full indirect impact of OM on innovation through learning.

The theoretical and practical implication of this study indicates that individual learning on innovation is vital when the workplace environment has a diversity of cultural backgrounds. Moreover, the implications of this study may contribute to determining the weakness of invention in such industries because of the effect of personal characteristics (i.e. OM and humble) on readiness to learn.

In a culturally diverse work environment, the behavior of humble and OM will have a significant impact on the intensity of individual learning, which would increase innovation in the context of the oil industry. Therefore, the essence of originality in this study is to lead the managers to pay attention to the psychological aspects of the workplace environment that require learning and innovation.

This study aims to understand the impact of leadership styles on the sustainability of organizational energy, using the mediator role of organizational ambidexterity in family firms in Malaysia. To this end, dual-stage Structural Equation Modeling (SEM) and Artificial Neural Networks (ANN) were adopted to determine the leadership style of family firms in Malaysia.

An exploratory design (i.e. questionnaire) was used to collect data from 528 workers in the family firms in Malaysia.

According to the results, leadership styles and long-term organizational energy have a positive and significant relationship. Furthermore, organizational ambidexterity mediates the relationship between leadership styles and organizational energy sustainability. On the other hand, based on nonlinear and compensatory relationships, the ANN method predicted a bureaucratic leadership style typical in Malaysian family businesses. The results of this study indicate transformational, transactional and bureaucratic leadership styles affect sustainable organizational energy. Besides, organizational ambidexterity fully mediates the relationship between leadership styles and sustainable organizational energy. On the other hand, the results of non-compensatory relationships revealed organizational ambidexterity is the most determinant of sustainable organizational energy, followed by bureaucratic leadership. As a result, leadership styles encourage human resources to perform tasks with energy and vitality. In family businesses, bureaucratic leadership increases job immersion and positive motivations toward work challenges.

From a practitioner's perspective, leaders and practitioners must encourage creativity and idea generation to give members sufficient strength to work and focus on goals that support building sustainable organizational energy. A family business is a type of capitalism that significantly impacts employees. The family-owned businesses surveyed by first-generation families lack subsidiaries and are ingrained in a paternalistic culture that offers employees greater security at a lower wage. Although there are few details, the study sample size is small and has limitations. This study suggests that understanding the leadership styles on sustainable organizational energy and using the mediator role of organizational ambidexterity in the family business has immense value. Characteristics such as transformational, transactional and bureaucratic leadership styles have a significant role in sustainable organizational energy. Also, organizational ambidexterity is the mediator for the relationship between leadership styles and sustainable organizational energy.

This study sheds light on the effect of leadership styles on sustainable organizational energy through organizational ambidexterity in family firms. In this context, the novelty of this study includes two perceptions. The first explored the impact of exploration and exploitation on sustainable organizational energy. The second investigates linear and nonlinear relationships to predict sustainable organizational energy determinants.