This study sought to determine the effect of business regulation on social progress. The dependent variable, social progress, was measured in terms of social progress index of the sampled countries. On the other hand, the independent variable, business regulation, was measured in terms of business regulation score. Consequently, the study used secondary data from a sample of 248 countries over a period of five years (2014-2018). In order to determine the appropriate model for analysis, the study conducted the Hausman test where it was established that the random effect model was more appropriate as compared to the fixed effect model. Using the Stata computer program to run multiple regression analysis of the random effect model, the study findings indicated that business regulation has a positive and significant effect on social progress as given across all the six models that were estimated in this study. However, the overall effect of regulation, as given by the estimated regression coefficients under the respective models, kept varying with the introduction of an additional control variable. These findings were in accordance with the study expectations that business regulation significantly affects social progress. Further, the findings implied that, governments should devote additional resources towards addressing the social indicators of progress to meaningfully improve the living standards of residents, instead of solely focusing on economic and environmental factors. On the other hand, considering that the current study did not categorize countries according to their levels of development, it recommends for further research to determine the effect of business regulation on social progress in low-income, middle-income, and high-income countries to allow for comparison of findings from countries that are at different levels of development.

Although there is a significant influence of implementing the electronic health records (EHR) system in Qatar, there are very limited studies reviewed and analyzed the influence of implementing the EHR system on healthcare professionals in Qatar. This research aims to assess, summarize, and analyze the influence of the EHR system in healthcare settings in Qatar. The outcome of assessing the implementation of the EHR system may have advantages and disadvantages, which can impact healthcare professionals in healthcare settings in Qatar. The main objective is to evaluate EHR on healthcare professionals in healthcare. A total number of 210 participants were selected randomly from three private hospitals in Qatar. A validated survey distributed to physicians, pharmacists, nurses, and dietitians who work in these healthcare hospitals in Qatar. The purpose is to identify whether the outcome of using the EHR system improved healthcare professionals’ work after it has shifted from using files and hand-writing paperwork to the EHR system. By applying online survey, results indicate that most healthcare professionals positively perceive the use of the EHR system as a valuable system.

The objective of this study was to analyze and determine the impact of digital transformation on the individual job performance of insurance companies in Peru. The deductive inferential scientific method of explanatory level was used, with a non-experimental design, to four insurance companies that operate in the regions of Arequipa, Cusco, Iquitos, Lima, Tacna and Trujillo. The results generated by structural equations show that customer service experience (CSE), based on digital transformation, had a positive impact on task performance (p ≤ 0.05) and contextual performance (p ≤ 0.05); in contrast, the customer service experience (CSE), based on digital transformation, was found to have no impact on counterproductive behavior (p≥ 0.05). In relation to the collaborator's capabilities (CC) based on digital transformation, the results reveal that it had a significant influence on task performance (p ≤0.05) and contextual performance (p ≤ 0.05), while it did not have any impact on counterproductive behavior (p ≥ 0.05). Likewise, processes based on digital transformation (P) significantly influence task performance (p ≤ 0.05) and contextual performance (p ≤ 0.05), unlike counter-productive behavior that did not present a causal link with the processes (p> 0.05). Finally, the business model based on digital transformation (BM) had no implications for task performance (p> 0.05), contextual performance (p> 0.05) and counterproductive behaviors (p> 0.05). The conclusion of the study indicates that the customer service experience, the collaborator's capabilities and processes based on digital transformation contribute to the performance and contextual performance of the workers of the insurance companies in Peru.

To conduct business in the global market in the era of digitalization, hotels need to pay more attention to the complaint behavior of guests with different cultures to adjust their methods of handling these complaints. The purpose of this study is to analyze the influence of Hofstede's five cultural dimensions on the complaint behavior of guests. This study also offers strategic solutions for hoteliers in facing various kinds of complaint behavior from guests with different cultures. This research was conducted on tourists who have stayed in five-star hotels in Badung Regency – Bali, with a total sample of 110 respondents. The data were col-lected through questionnaires. The data analysis was performed using the structural equation model (SEM) with the partial least square (PLS) approach. The results of this study indicate that the power distance cultural dimension has a significant influence on public action and private action. Uncertainty avoidance, individualism versus collectivism, and long term versus short term orientation dimension have a significant influence on public action and private action. The culture of masculinity versus femininity has a significant influence on private action and no action.

Structural Equation Modeling (SEM) includes measurement and structural model for hypothesis testing. The results yielded from structural model is unlikely to be valid if a poor loading of an indicator is selected. The impact of these erroneous result on standardized loading is disregard. Thus, knowing how poor loading can affect the validity of measurement model is a crucial issue. This paper attempts to compare the standardized loadings result between two prominent SEM methods (CBSEM and PLS-SEM) using three varied of simulation models (TRA, Loyalty and UTAUT model) to investigate their effects on reliability and validity of measurement model. The data for each model were generated using R software by setting the value of standardized loading and the construct correlations (N=50, 100, 200 and 500). The value of standardized loadings was set to 0.60 for each construct in the model while the construct correlations were set in the range between 0.45 to 0.65. Then, the AMOS 21.0 and ADANCO 2.0 were used to perform the statistical analysis. It shows that good standardized loading can increase the reliability and validity of construct representation. CBSEM is particularly yielded valid and unbiased estimation under confirmatory condition (established theory) compared with PLS-SEM. The results are illustrated with empirical examples. This paper provides updated evidence about CBSEM and PLS-SEM when assessing the measurement model.

The manufacturing industry always tries to improve performance amid the trade globalization. Demand and supply uncertainty, and increasingly the intense competition, prosecute the presence of an affective leadership to integrate the company's internal and external resources in improving company performance. This research investigates the role of affective leadership in firm performance through an internally integrated system and external integration in FMCG companies. Data collection used questionnaires, designed with a five-point Liker scale, were distributed to 55 fast-moving consumer goods (FMCG) manufacturing companies. The data analysis used the PLS technique utilizing smart PLS software to assess the validity and reliability of the outer model and to examine the hypotheses developed. The results of the hypothesis testing found that affective leadership can improve internal system integration, external integration, and firm performance. Internal system integration has an impact on external integration but is not strong enough to have a direct effect on firm performance. The internally integrated system has an influence on firm performance through external integration. The company's ability to share information with external partners can improve firm performance through demand fulfillment. The study provides a managerial implication on how to enhance firm performance in the context of internal and external system integration. The finding of this research enriches the current studies in supply chain management.

This research aims to determine the effect of the adoption of teleworking on the development of job exhaustion of the higher education administrative staff in Junín during the crisis of COVID-19. The applied and correlational research was carried out with the participation of 300 administrative workers of higher education by applying a questionnaire of 40 questions. The results obtained show that having teleworking skills reduces emotional fatigue and depersonalization since the collaborator can self-regulate his behavior when faced with stressors. Likewise, these skills generate a positive effect on personal fulfillment, allowing the teleworker to achieve a satisfactory personal fulfillment of having said skills. On the other hand, telework conditions generate a hidden effect on emotional exhaustion, depersonalization and personal fulfillment; therefore, this dimension does not contribute to the reduction or increase of the mentioned dimensions. The work-life balance dimension does not generate any effect on any of the factors. It is concluded that the development of skills for teleworking is a relevant factor to achieve personal fulfillment in teleworkers, while teleworking conditions do not reduce job burnout.

The purpose of this study was to examine the impact of the online social media networks (OSMNs) on productivity at workplace among 88 administrative staff at Prince Sattam bin Abdulaiziz University for the academic year 2020-2021. This study finds that using online social media networks by PSAU’s employees at the workplace enhances their productivity. The majority of the employees (59%) perceive that using the OSMNs at workplace have a positive impact on their productivity. In addition, the majority of the employees (33%) regularly use WhatsApp as a useful online social media network at the workplace. The results also indicate that the majority of the employees (66%) use the OSMNs at workplace more than once a day. Further, the majority of the PSAU’s employees (39%) use the OSMNs at work-place less than half an hour per a day. Furthermore, 39% of the PSAU’s employees use the OSMNs at workplace to keep in touch with their families and friends, and 34% of the employees use the OSMNs to search for work-related information. The results of this study should be useful to policy makers in Saudi Arabia at the country, ministry of education, PSAU, and elsewhere in gaining a deeper understanding on how using the OSMNs at work-place can enhances the employees’ productivity.

Social media serves as a platform or a new area for developing innovation responsive to business advancement. As individuals are the source of knowledge in organizations, individual learning is the focus of organizational learning and development. Ambidexterity is an activity that requires individual learning. The study was carried out in Greater Jakarta, Indonesia. A personal survey questionnaire with convenience sampling was used to collect white-collar workers in Greater Jakarta. Rasch Model Analysis, specifically Person Measure Analysis, was used to filter for bias in the responses because the data was collected through personal references or self-report questionnaires. Structural Equation Modeling (SEM) is used to test hypotheses based on the collected data. According to the statistical results, ambidexterity and social media learning experience significantly impact innovative behavior. It implies that ambidexterity and social media learning experience can improve white-collar workers' innovative behavior. Ambidexterity has a significant impact on the learning experience on social media. It implies that a person with greater ambidexterity will engage in more intense knowledge exploration and exploitation through social media. The study's findings also show that social media experience without ambidexterity has the least impact on innovative behavior. It implies that social media experience without exploratory and exploitative activities does not lead to innovative behavior.

The purpose of this study was to analyze the effect of social media marketing variables on brand image variables and e-commerce customer loyalty variables in Indonesia. The method used in this study uses quantitative methods through online surveys. This study used a sample of 345 respondents who were determined by the snowball sampling method. The research data was distributed using an online questionnaire via Google form. Data analysis of this research uses a SEM model using SmartPLS 3.0 software. Based on data analysis, it can be concluded that the Social media marketing variable has a significant effect on the brand image of e-commerce consumers, the brand image variable has a significant effect on the e-commerce consumer loyalty variable and the Social media marketing variable has a significant effect on the e-commerce consumer loyalty variable.