Social entrepreneurship plays a role in sustainable development to value creation, delivering and capturing, in this article, researchers attempted to find the nature of the relationships between the sustainable development and its latent variables, and how can these variables effect on sustainable development. Two models were used to estimate the relationships mentioned before, structural equation model and bidirectional causality model, in the case of 15 the regional comprehensive economic partnership (RCEP) countries that are home to nearly a third of the world's population, and account for 29% of GDP. The study found some interesting results which consistence with the results of previous studies in this field, like that there has a positive relationship between the social entrepreneurship and sustainable development, and positive relationship between the innovations and sustainable development and in the regard of the institutions variable, the study also found that there is an indirect effect on innovation.

Purpose: A crucial question still remains unanswered as to whether data analytics-oriented business intelligence (hereafter, BI) technologies can bring organizational value and benefits. Thereby, several researchers called for further empirical research to extend the limited knowledge in this critical area. In an attempt to deal with this issue, we presented and tested a theoretical model to assess BI effectiveness at the organizational benefits level in this research article.Design/methodology/approach: The suggested research model expands the application of the DeLone and McLean model in BI technology success or effectiveness research from individual level to organizational level. A cross-sectional survey is developed to obtain primary quantitative data from business and technology managers who are depending on BI technologies to make operational, technical and strategic decisions in Jordanian-listed firms.Findings: Empirical findings show that system quality, information quality and training quality are significant predictors of user satisfaction, but not of perceived benefit. Data quality was found to be a strong predictor of both perceived benefit and user satisfaction. The influence of perceived benefit on user satisfaction was significant in turn both factors positively affect organizational benefits.Originality/value: This research paper is a pioneering effort to assess BI technology effectiveness at an organizational level outside the context of developed countries. To the best of the authors’ knowledge, no prior research has combined all dimensions used in this research in one single model.

This study aims to examine the factors that influence business intelligence and analytics (BIA) usage in the banking sector. Based on a comprehensive literature review, a theoretical model was developed to explore the impact of three key factors on business intelligence and analytics adoption and usage in the banking sector, namely technological, organizational, and environmental factors. The study used the Statistical Package for the Social Sciences (SPSS) to analyze data collected from 120 employees of Jordan Arab bank. The results revealed the critical impact of not only the existence of data and technology infrastructure but also the importance and availability of management and human resources support and capabilities. This study suggests that, more importantly, successful planning for business intelligence and analytics should go beyond the technology aspects to gain the full benefits of such technology, especially in the banking sector. Yet, we argue that more research needs to be conducted, especially in the context of developing countries, to fully understand how banking sectors can successfully implement and utilize business intelligence and analytics.

Purpose: The paper discusses the assessment of enterprise information systems (EIS) success in an organizational context is one area that is not sufficiently researched. This lack of theoretical attention prompted the authors to measure EIS success in the organizational setting of Jordanian listed firms.Design/methodology/approach: Based on the DeLone and McLean success model and by adopting a quantitative approach, survey data were collected through questionnaires. The established questionnaires were distributed to 250 senior IT executives who use EIS and a total of 134 valid questionnaires were empirically tested via the Smart-PLS technique.Findings: The investigation findings indicate that information and system quality had a positive impact on user satisfaction and individual impact. User satisfaction had a positive influence on individual impact, both of which eventually lead to organizational impact. The results also showed that the model used has adequate convergent and discriminant validities, as well as sufficient reliability.Practical implications: The outcomes can help managers and practitioners more effectively understand the factors influencing EIS success among Jordanian listed firms.Originality/value: This research paper is the very first in assessing EIS success from an organizational perspective in developing country such as Jordan.

Purpose: Despite the increasing role of the data warehouse as a supportive decision-making tool in today's business world, academic research for measuring its effectiveness has been lacking. This paucity of academic interest stimulated us to evaluate data warehousing effectiveness in the organizational context of Jordanian banks.Design/methodology/approach: This paper develops a theoretical model specific to the data warehouse system domain that builds on the DeLone and McLean model. The model is empirically tested by means of structural equation modelling applying the partial least squares approach and using data collected in a survey questionnaire from 127 respondents at Jordanian banks.Findings: Empirical data analysis supported that data quality, system quality, user satisfaction, individual benefits and organizational benefits have made strong contributions to data warehousing effectiveness in our organizational data context.Practical implications: The results provide a better understanding of the data warehouse effectiveness and its importance in enabling the Jordanian banks to be competitive.Originality/value: This study is indeed one of the first empirical attempts to measure data warehouse system effectiveness and the first of its kind in an emerging country such as Jordan.