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This paper aims to examine factors influencing the practices of big data analytics applications by commercial banks operating in Jordan and their bank performance.

A conceptual framework was developed in this regard based on a comprehensive literature review and the Technology–Environment–Organization (TOE) model. A quantitative approach was used, and the data was collected from 235 commercial banks’ senior and middle managers (IT, financial and marketers) using both online and paper-based questionnaires.

The results showed that the extent of the practices of big data analytics applications by commercial banks operating in Jordan is considered to be moderate (i.e. 60%). The results indicated that 61% of the variation on the practices of big data analytics applications by commercial banks could be predicated by TOE model. The organizational factors were found the most important predictors. The results also provide empirical evidence that the extent of practices of big data analytics applications has a positive influence on the bank performance. In the final section, research implications and future directions are presented.

This paper contributes to theory by filling a gap in the literature regarding the extent of the practices of big data analytics applications by commercial banks operating in developing countries, such as Jordan. It empirically examines the impact of the practices of big data analytics applications on bank performance.

This study aims to examine and validate the impact of marketing knowledge management (MKM) (assets and capabilities) on business performance (BP) via the mediating role of the digital financial innovation in Jordanian commercial banks.

Based on a literature review, recourses-based theory, knowledge-based theory and financial innovation theory, an integrated conceptual framework has been developed to guide the study. A quantitative survey approach was used, and the data was collected from 336 managers and employees in all 13 Jordanian commercial banks using online and in hand instruments. Structural equation modeling was used to analyze and verify the study variables.

The main findings revealed that the MKM had a significant positive influence on BP. Digital financial innovation acted as a partial mediators in this relationship.

This paper contributes to theory by filling a gap in the literature regarding the role of MKM assets and capabilities in commercial banks operating in developing countries such as Jordan. It empirically examines and validates the role of digital financial innovation as mediators between MKM and BP.

This study aims to examine the antecedent factors (internal and external) that influence intentions to buy over-the-counter (OTC) medicines in Jordan.

A conceptual framework was developed based on consumer buying behavior theoretical background and a review of the relevant literature. A quantitative approach and a convenience sampling method were used to obtain data from self-administered questionnaires, which were completed by 351 academic staff from selected Jordanian universities.

The results indicate that all antecedent factors (internal, external and combined) have significant positive influences on the intentions to buy OTC medicines. Internal factors are more influential than external factors; however, the combination of internal and external factors resulted in the greatest influence on buying OTC medicines compared to each category separately.

This paper has integrated and examined empirically the antecedent factors that influence intentions to buy OTC medicines (internal, external and combined) in Jordan’s business environment context as a developing country for the first time.

This study aims to examine the impact of green marketing adoption on non-profitable organizations’ performance in Jordan.

A structured questionnaire was developed to collect the needed data and test the developed hypotheses to investigate the impact of green marketing adoption on non-profitable organizations’ performance. The data was collected using a self-administered questionnaire distributed to 183 respondents in non-profitable organizations operating in Jordan.

The findings indicate that the extent of green marketing adoption by profitable organizations in Jordan is relatively moderate. They also confirm that the corporate performance of non-profitable organizations is positively associated with the extent of adoption of green marketing dimensions, particularly environmental and social responsibility aspects.

Reviewing the existing literature revealed that similar studies had not previously been undertaken in Jordan as a developing country.

This study aims at investigating the extent of SysTrust’s framework (principles and criteria) as an internal control approach for assuring the reliability of accounting information system (AIS) were being implemented in Jordanian business organizations.

The study is based on primary data collected through a structured questionnaire from 239 out of 328 shareholdings companies. The survey units were the shareholding companies in Jordan, and the single key respondents approach was adopted. The extents of SysTrust principles were also measured. Previously validated instruments were used where required. The data were analysed using t-test and ANOVA.

The results indicated that the extent of SysTrust being implemented could be considered to be moderate at this stage. This implies that there are some variations among business organizations in terms of their level of implementing of SysTrust principles and criteria. The results also showed that the extent of SysTrust principles being implemented was varied among business organizations based on their business sector. However, there were not found varied due to their size of business and a length of time in business (experience).

This study is only conducted in Jordan as a developing country. Although Jordan is a valid indicator of prevalent factors in the wider MENA region and developing countries, the lack of external validity of this research means that any generalization of the research findings should be made with caution. Future research can be orientated to other national and cultural settings and compared with the results of this study.

The study provides evidence of the need for management to recognize the importance of the implementation of SysTrust principles and criteria as an internal control for assuring the reliability of AIS within their organizations and be aware which of these principles are appropriate to their size and industry sector.

The findings would be valuable for academic researchers, managers and professional accounting to acquire a better undemanding of the current status of the implementation of the SysTrust principles (i.e., availability, security, integrity processing, confidentiality, and privacy) as an internal control method for assuring the reliability of AIS by testing the phenomenon in Jordan as a developing country.

The purpose of this paper is to develop an integrated framework to explore the influences of electronic customer relationship management (ECRM) success factors (process fit, customer information quality and system support) on customer satisfaction, customer trust and customer retention, which, in turn, impact upon the business financial performance of Jordanian commercial banks in Amman city.

Using a sample of 343 branch managers, assistant branch managers and heads of departments in Jordanian commercial banks, who answered a self-administrated questionnaire, data were collected and analysed using structural equation modelling (AMOS 17.0).

The results showed that the ECRM success factors (process fit, customer information quality and system support) positively affected customer satisfaction, customer trust and customer retention. Furthermore, the authors discovered that customer satisfaction and customer trust positively influenced customer retention. It was determined that customer satisfaction, customer trust and customer retention positively impact on a business’s financial performance.

Previous research lacks the link between ECRM success factors and business performance (financial and non-financial).

Predicting the inactivity and the repeat transaction frequency of a firm's customer base is critical for customer relationship management. The literature offers two main approaches to such predictions: stochastic modeling efforts represented by Pareto/NBD and machine learning represented by neural network analysis. As these two approaches have been developed and applied in parallel, this study systematically compares the two approaches in their prediction accuracy and defines the relatively appropriate implementation scenarios of each model.

By designing a rolling exploration scheme with moving calibration/holdout combinations of customer data, this research explores the two approaches' relative performance by first utilizing three real world datasets and then a wide range of simulated datasets.

The empirical result indicates that neither approach is dominant and identifies patterns of relative applicability between the two. Such patterns are consistent across the empirical and the simulated datasets.

This study contributes to the literature by bridging two previously parallel analytical approaches applicable to customer base predictions. No prior research has rendered a comprehensive comparison on the two approaches' relative performance in customer base predictions as this study has done. The patterns identified in the two approaches' relative prediction performance provide practitioners with a clear-cut menu upon selecting approaches for customer base predictions. The findings further urge marketing scientists to reevaluate prior modeling efforts during the past half century by assessing what can be replaced by black boxes such as NNA and what cannot.