Big data and smart aviation information management system

Dou, Xiangsheng

doi:10.1080/23311975.2020.1766736

Cited by 35 publications

(19 citation statements)

References 40 publications

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“…Other data storage and processing shortcomings include the inability to capture and store freshly generated and existing vast amounts of data and the incompatibility with ERMS (Oladejo & Hadžidedić, 2021;Papadopoulos et al, 2022). While BDM can evaluate large quantities and kinds of data from various sources, such as sensor network data, social media data, information captured from transactions, and survey data, it collects customer opinions about products, services, and organizations (Dou, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Previous studies stated that oil and gas organization employees are essential entities in big data management, such as hardware, software, and other technical aspects. It is significant to note that employees play a critical role in data management as a whole, especially when dealing with big data issues like hardware, software, and other technical components (Bag et al, 2021;Dou, 2020;.…”

Section: Literature Reviewmentioning

confidence: 99%

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The Influence of Big Data Management on Organizational Performance in Organizations: The Role of Electronic Records Management System Potentiality

Hawash

Mukred

Mokhtar

et al. 2023

IJIKM

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Aim/Purpose: The use of digital technology, such as an electronic records management system (ERMS), has prompted widespread changes across organizations. The organization needs to support its operations with an automation system to improve production performance. This study investigates ERMS’s potentiality to enhance organizational performance in the oil and gas industry. Background: Oil and gas organizations generate enormous electronic records that lead to difficulties in managing them without any system or digitalization procedure. The need to use a system to manage big data and records affects information security and creates several problems. This study supports decision-makers in oil and gas organizations to use ERMS to enhance organizational performance. Methodology: We used a quantitative method by integrating the typical partial least squares (SEM-PLS) approach, including measurement items, respondents’ demographics, sampling and collection of data, and data analysis. The SEM-PLS approach uses a measurement and structural model assessment to analyze data. Contribution: This study contributes significantly to theory and practice by providing advancements in identity theory in the context of big data management and electronic records management. This study is a foundation for further research on the role of ERMS in operations performance and Big Data Management (BDM). This research makes a theoretical contribution by studying a theory-driven framework that may serve as an essential lens to evaluate the role of ERMS in performance and increase its potentiality in the future. This research also evaluated the combined impacts of general technology acceptance theory elements and identity theory in the context of ERMS to support data management. Findings: This study provides an empirically tested model that helps organizations to adopt ERMS based on the influence of big data management. The current study’s findings looked at the concerns of oil and gas organizations about integrating new technologies to support organizational performance. The results demonstrated that individual characteristics of users in oil and gas organizations, in conjunction with administrative features, are robust predictors of ERMS. The results show that ERMS potentiality significantly influences the organizational performance of oil and gas organizations. The research results fit the big ideas about how big data management and ERMS affect respondents to adopt new technologies. Recommendations for Practitioners: This study contributes significantly to the theory and practice of ERMS potentiality and BDM by developing and validating a new framework for adopting ERMS to support the performance and production of oil and gas organizations. The current study adds a new framework to identity theory in the context of ERMS and BDM. It increases the perceived benefits of using ERMS in protecting the credibility and authenticity of electronic records in oil and gas organizations. Recommendation for Researchers: This study serves as a foundation for future research into the function and influence of big data management on ERMS that support the organizational performance. Researchers can examine the framework of this study in other nations in the future, and they will be able to analyze this research framework to compare various results in other countries and expand ERMS generalizability and efficacy. Impact on Society: ERMS and its impact on BDM is still a developing field, and readers of this article can assist in gaining a better understanding of the literature’s dissemination of ERMS adoption in the oil and gas industry. This study presents an experimentally validated model of ERMS adoption with the effect of BDM in the oil and gas industry. Future Research: In the future, researchers may be able to examine the impact of BDM and user technology fit as critical factors in adopting ERMS by using different theories or locations. Furthermore, researchers may include the moderating impact of demographical parameters such as age, gender, wealth, and experience into this study model to make it even more robust and comprehensive. In addition, future research may examine the significant direct correlations between human traits, organizational features, and individual perceptions of BDM that are directly related to ERMS potentiality and operational performance in the future.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

The Influence of Big Data Management on Organizational Performance in Organizations: The Role of Electronic Records Management System Potentiality

Hawash

Mukred

Mokhtar

et al. 2023

IJIKM

View full text Add to dashboard Cite

show abstract

“…In order to ensure flight safety and improve aircraft performance, big data in aviation is largely utilized to record and reflect basic aspects of aircraft design and performance, operational conditions, multifunction diagnostics, and maintenance. Two of its two sub data systems are big data on aircraft operating conditions, malfunction detection, and maintenance, as well as big data on aircraft design and performance enhancement (Dou, 2020). Sun et al (2021) report that big data is largely used in aviation management to collect and reflect the status of aeronautical operations and operational performance, contributing to the maintenance of aviation traffic safety and the improvement of operational performance.…”

Section: Aviation Big Data Platform and Information Systemmentioning

confidence: 99%

“…The aviation logistics market has grown as a direct result of the growth of the civil aviation industry. Therefore, how to secure its security and improve its operational performance is a real topic of concern for aviation firms (Dou, 2020).…”

Section: Aviation Big Data Platform and Information Systemmentioning

confidence: 99%

Big Data Analytics Application in EGYPTAIR: Perceived Benefits, Skills and Development

Attia

Elias

Rady³

2022

Minia Journal of Tourism and Hospitality Research MJTHR

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This research paper attempts to investigate big data analytics application in EGYPTAIR, bringing to the fore its perceived benefits, skills and development. The enormous volume of both organized and unstructured data that is difficult to process using standard software approaches or by utilising conventional statistical methods is referred to as "big data". The aviation sector is a typical candidate for the usage of big data technologies due to the volume of data produced. A few examples of the data that must be considered include passenger data, weather data, aircraft maintenance data and air traffic data. This study examines the benefits, Skills, and training needed programs of big data in EGYPTAIR Airlines. To that end, this research uses a questionnaire form and a descriptive analytical methodological approach. The sample consists of ( 294) EGYPTAIR airlines employees. The research shows that big data has major benefits in providing broad opportunities for EGYPTAIR Airlines management, enhancing flexibility in dealing with each passenger, problem solving, supporting decision making, growing predictive maintenance and improving performance. Moreover, one negative result is the weakness of employees training directed to EGYPTAIR airline employees to enhance their knowledge and skills for big data analytics such as "Maintains security and data privacy skills" and "Statistical analysis technologies".

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“…Big data may be characterised using the 3Vs concept, which stands for volume, velocity, and variety [7,32]. The capacity to store vast amounts of data separates big data from other conventional methods in the airline industry [33]. Airlines are concerned about how to create an ideal e-commerce website by thoroughly analysing a website's function in technology, service, and marketing structures [19].…”

Section: Web Analytics Importance In Airlines' E-commercementioning

confidence: 99%

The Effects of Cryptocurrency Trading Websites on Airlines’ Advertisement Campaigns

Σακάς

Giannakopoulos

Reklitis

et al. 2021

JTAER

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In future years, airline companies will be leaning more and more towards cryptocurrencies to implement their digital marketing strategies as leaders seek to gain an understanding of the factors affecting airlines’ visibility parameters. Cryptocurrency investment websites are currently experiencing rising demand, making them an appropriate site for paid advertisements. The above factors suggest the need for airlines to harvest cryptocurrency investment and platform users in their favour. To this end, it can be beneficial for airlines’ web promotions to link certain web analytics metrics to cryptocurrency trading site metrics. For research purposes, web analytics data were monitored and gathered for 2 consecutive years from 10 globally leading cryptocurrency trading companies and 10 airline websites. A three-stage model was adopted by the authors. In the first stage, statistical analysis was implemented using cryptocurrency and airline metrics, followed by fuzzy cognitive mapping and agent-based modelling stages. The findings of the study indicate that engagement with cryptocurrency trading websites has a positive impact on airline websites’ global ranking and visibility parameters. The outcomes of this research provide noteworthy digital marketing strategies which can be addressed by airline companies to increase their website visitors and optimise visibility parameters with the assistance of cryptocurrency trading websites.

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Big data and smart aviation information management system

Cited by 35 publications

References 40 publications

The Influence of Big Data Management on Organizational Performance in Organizations: The Role of Electronic Records Management System Potentiality

The Influence of Big Data Management on Organizational Performance in Organizations: The Role of Electronic Records Management System Potentiality

Big Data Analytics Application in EGYPTAIR: Perceived Benefits, Skills and Development

The Effects of Cryptocurrency Trading Websites on Airlines’ Advertisement Campaigns

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