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Article
Publication date: 31 August 2020

Validation of the impact of marketing knowledge management on business performance via digital financial innovation as a mediating factor

Hani Al-Dmour, Futon Asfour, Rand Al-Dmour and Ahmed Al-Dmour

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…

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Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

VINE Journal of Information and Knowledge Management Systems, vol. ahead-of-print no. ahead-of-print
Type: Research Article
DOI: https://doi.org/10.1108/VJIKMS-05-2020-0085
ISSN: 2059-5891

Keywords

  • Digital financial innovation
  • Business performance

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Article
Publication date: 1 April 2020

Factors influencing the intention to buy over-the-counter medicines: empirical study

Raeda Habash and Hani Al-Dmour

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

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Abstract

Purpose

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

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

International Journal of Pharmaceutical and Healthcare Marketing, vol. 14 no. 2
Type: Research Article
DOI: https://doi.org/10.1108/IJPHM-07-2019-0050
ISSN: 1750-6123

Keywords

  • Intention
  • Consumer behavior
  • Buying
  • OTC

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Article
Publication date: 5 August 2019

The implementation of SysTrust principles and criteria for assuring reliability of AIS: empirical study

Ahmed H. Al-Dmour, Masam Abood and Hani H. Al-Dmour

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…

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Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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).

Research limitations/implications

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.

Practical implications

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.

Originality/value

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.

Details

International Journal of Accounting & Information Management, vol. 27 no. 3
Type: Research Article
DOI: https://doi.org/10.1108/IJAIM-05-2017-0067
ISSN: 1834-7649

Keywords

  • Internal control system
  • AIS
  • SysTrust principles
  • Jordanian shareholdings companies

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Article
Publication date: 14 January 2019

Investigating the impact of ECRM success factors on business performance: Jordanian commercial banks

Hani H. Al-Dmour, Raed Salah Algharabat, Rawan Khawaja and Rand H. Al-Dmour

The purpose of this paper is to develop an integrated framework to explore the influences of electronic customer relationship management (ECRM) success factors (process…

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Abstract

Purpose

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.

Design/methodology/approach

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).

Findings

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.

Originality/value

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

Details

Asia Pacific Journal of Marketing and Logistics, vol. 31 no. 1
Type: Research Article
DOI: https://doi.org/10.1108/APJML-10-2017-0270
ISSN: 1355-5855

Keywords

  • Business performance
  • Customer information quality
  • ECRM success factors
  • Process fit
  • System support

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Article
Publication date: 12 May 2020

Systematic comparisons of customer base prediction accuracy: Pareto/NBD versus neural network

Shao-Ming Xie and Chun-Yao Huang

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…

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Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Asia Pacific Journal of Marketing and Logistics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
DOI: https://doi.org/10.1108/APJML-09-2019-0520
ISSN: 1355-5855

Keywords

  • Pareto/NBD
  • Neural network analysis
  • Transaction frequency
  • Activity prediction
  • Rolling comparison

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