The mediating role of customer relationship management between e-supply chain management and competitive advantage

Aloqool, Abdalrazzaq; Alharafsheh, Malek; Abdellatif, Hadeel; Alghasawneh, Lana Ahmad Suleiman; Al-Gasawneh, Jassim Ahmad

doi:10.5267/j.ijdns.2021.9.002

Cited by 7 publications

(4 citation statements)

References 24 publications

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“…A high variance range is predicted as a high dependency on supply chain risk. The present framework provides gap-filling results that demonstrate that IT development and information security implementation in the supply chain process can prevent supply chain risks and adverse effects to the organization (Aloqool et al, 2022;Cheung et al, 2021;Kumar et al, 2019). The trend of the e-supply chain requires security attempts for positive benefits to the consumer and healthy organizational performance.…”

Section: Discussion Of the Resultsmentioning

confidence: 84%

“…Chain management for e-supplies includes utilizing e-business technologies to facilitate and maximise value-adding supply chain operations. (Aloqool et al, 2022) 26.4 per cent, and the GDP of the UAE as a whole is approximately 11 per cent. Many companies aim to make the UAE one of the key markets for their products to take advantage of this dynamic market.…”

Section: E-supply Chainmentioning

confidence: 99%

“…Although the benefits of Information security in the E-supply chain have been highlighted and agreed upon by several authors (Aloqool et al, 2022;Chu et al, 2020), some factors are rarely considered, such as the supply chain risk or its mediating role in information system and e-supply chain in distribution industry UAE. The current research thereby aims to fill the gap in the corpus of information in this area.…”

Section: H4mentioning

confidence: 99%

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The effect of information security on e-supply chain in the UAE logistics and distribution industry

Alshurideh¹,

Alquqa²,

Alzoubi³

et al. 2023

10.5267/j.uscm

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The effect of information security on the e-supply chain attracted attention to investigate its relationship with the mediating role of supply chain risk in the logistics and distribution industry in the United Arab Emirates (UAE). The proposed research explored the mediating effect of supply chain risk in the logistics and distribution industry, providing unique insights for future research, literature, and targeted sectors. A descriptive, causal and analytical design with quantitative research technique was applied to the proposed research model. A sample of 301 respondents from the managerial departments of 176 logistics and distribution companies in Dubai and Abu Dhabi was used to assess the research variables. The findings revealed that the impact of information systems was positively associated with the e-supply chain, while the indirect impact of supply chain risk significantly positively impacted the e-supply chain. The research is limited to assessing the supply chain risk as an intermediary. For future research, exploring the SC risk prevention strategies' impact on the E-supply chain is recommended. Research findings are anticipated to assist communities of practice in making better information security decisions in the context of e-supply chain by clearly implementing information security policies internally and externally to enhance e-supply chain performance and SC risk management.

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Section: Discussion Of the Resultsmentioning

confidence: 84%

Section: E-supply Chainmentioning

confidence: 99%

Section: H4mentioning

confidence: 99%

See 1 more Smart Citation

The effect of information security on e-supply chain in the UAE logistics and distribution industry

Alshurideh¹,

Alquqa²,

Alzoubi³

et al. 2023

10.5267/j.uscm

View full text Add to dashboard Cite

show abstract

“…The challenge is how to optimize supply and demand, by integrating consumer behavior, origins, and consumption patterns into the supply chain. CRM and SCM capabilities can help businesses improve their competitiveness [ 5 ], thus to optimize the analysis, both of data related to SCM and CRM should be integrated logically.…”

Section: Introductionmentioning

confidence: 99%

‘Everything is data’: towards one big data ecosystem using multiple sources of data on higher education in Indonesia

2022

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Big data is increasingly being promoted as a game changer for the future of science, as the volume of data has exploded in recent years. Big data characterized, among others, the data comes from multiple sources, multi-format, comply to 5-V’s in nature (value, volume, velocity, variety, and veracity). Big data also constitutes structured data, semi-structured data, and unstructured-data. These characteristics of big data formed “big data ecosystem” that have various active nodes involved. Regardless such complex characteristics of big data, the studies show that there exists inherent structure that can be very useful to provide meaningful solutions for various problems. One of the problems is anticipating proper action to students’ achievement. It is common practice that lecturer treat his/her class with “one-size-fits-all” policy and strategy. Whilst, the degree of students’ understanding, due to several factors, may not the same. Furthermore, it is often too late to take action to rescue the student’s achievement in trouble. This study attempted to gather all possible features involved from multiple data sources: national education databases, reports, webpages and so forth. The multiple data sources comprise data on undergraduate students from 13 provinces in Indonesia, including students’ academic histories, demographic profiles and socioeconomic backgrounds and institutional information (i.e. level of accreditation, programmes of study, type of university, geographical location). Gathered data is furthermore preprocessed using various techniques to overcome missing value, data categorisation, data consistency, data quality assurance, to produce relatively clean and sound big dataset. Principal component analysis (PCA) is employed in order to reduce dimensions of big dataset and furthermore use K-Means methods to reveal clusters (inherent structure) that may occur in that big dataset. There are 7 clusters suggested by K-Means analysis: 1. very low-risk students, 2. low-risk students, 3. moderate-risk students, 4. fluctuating-risk students, 5. high risk students, 6. very high-risk students and, 7. fail students. Among the clusters unreveal, (1) a gap between public universities and private universities across the three regions in Indonesia, (2) a gap between STEM and non-STEM programmes of study, (3) a gap between rural versus urban, (4) a gap of accreditation status, (5) a gap of quality human resources distribution, etc. Further study, we will use the characteristics of each cluster to predict students’ achievement based on students’ profiles, and provide solutions and interventions strategies for students to improve their likely success.

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The Mediating Role of Information Sharing in the Effect of Blockchain Strategy Information Security on E-Supply Chain in the UAE Real Estate Industry

Hamadneh,

Alzoubi,

Alquqa

et al. 2024

Studies in Big Data

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The mediating role of customer relationship management between e-supply chain management and competitive advantage

Cited by 7 publications

References 24 publications

The effect of information security on e-supply chain in the UAE logistics and distribution industry

The effect of information security on e-supply chain in the UAE logistics and distribution industry

‘Everything is data’: towards one big data ecosystem using multiple sources of data on higher education in Indonesia

The Mediating Role of Information Sharing in the Effect of Blockchain Strategy Information Security on E-Supply Chain in the UAE Real Estate Industry

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