Dr. Laith Khrais

Verified @hotmail.com

Faculty of Business
Middle East University

EDUCATION

Doctorate in E-business

RESEARCH, TEACHING, or OTHER INTERESTS

Business, Management and Accounting

21

Scopus Publications

Scopus Publications

  • Transforming accounting practices: The impact and challenges of business intelligence integration in invoice processing
    Amer Morshed, Abdulhadi Ramadan, Bassam Maali, Laith T. Khrais, and Abed Al Rahman Baker

    EnPress Publisher
    The purpose of this study is to investigate the relationship between the use of business intelligence applications in accounting, particularly in invoice handling, and the resultant disruption and technical challenges. Traditionally a manual process, accounting has fundamentally changed with the incorporation of BI technology that automates processes and allows for sophisticated data analysis. This study addresses the lack of understanding about the strategic implications and nuances of implementation. Data was collected from 467 accounting stakeholder surveys and analyzed quantitatively using correlational analysis. Multiple regression was utilized to investigate the effect of BI adoption, technical sophistication on operational and organizational performance enhancements. The results show a weak association between the use of BI tools and operational enhancements, indicating that the time for processing invoices has decreased. Challenges due to information privacy and bias were significant and negative on both operational and organizational performance. This study suggests that a successful implementation of a BI technology requires an integrated plan that focuses on strategic management, organizational learning, and sound policies This paper informs practitioners of how accounting is being transformed in the digital age, motivating accountants and policy makers to better understand accounting as it evolves with technology and for businesses to invest in concomitant advances.



  • The role of neural network for estimating real estate prices value in post COVID-19: a case of the middle east market
    Laith T. Khrais and Osman Saad Shidwan

    Institute of Advanced Engineering and Science
    The main goal of this paper was to explore the use of an artificial neural network (ANN) model in predicting real estate prices in the Middle East market. Although conventional modeling approaches such as regression can be used in prediction, they have a weakness of a predetermined relationship between input and output. In this regard, using the ANN model was expected to reduce the bias and ensure non-linear relationships are also covered in the prediction process for more accurate results. The ANN model was created using Python v.3.10 program. The model exhibited a high correlation between predicted and actual house price data (R=0.658). In this respect, it was realized that the model could be effectively used in appraising real estate by investors. However, a major limitation of the model was realized to be a limited dataset for large and luxurious houses, which were not accurately predicted as data distribution between actual and predicted values became sparse for high house prices. A key recommendation made is that future research should include more variables related to luxurious houses and macroeconomic factors to increase the ANN model accuracy.

  • Pioneering Perception of Green Fintech in Promoting Sustainable Digital Services Application within Smart Cities
    Hoda M. Aboalsamh, Laith T. Khrais, and Sami A. Albahussain

    MDPI AG
    The emergence of fintech has revolutionized the traditional financial landscape, offering fast and efficient services to consumers while reducing costs for financial institutions. With the continuous advancements in technology, the fintech industry is expected to grow rapidly in the coming years, providing greater access to financial services and increasing financial inclusion across the globe. The main question explored in this study was: What is the impact of green Fintech on sustainability and consumer behavior within smart cities? The objectives of this study included analyzing the perceptions of consumers in the Middle East concerning green fintech’s impact on sustainability and examining green fintech policies and initiatives to identify how they shape consumer behavior. The current study employed qualitative methods, where eight participants were sampled and interviewed regarding the topic and six primary articles were sampled and analyzed. The interviews were conducted online, recorded, and later transcribed for analysis. The results show that green fintech promotes sustainability by encouraging companies to invest in renewable energy as a strategy for accessing more funds at lower interest rates. Moreover, green fintech was realized to enhance financial inclusion as small businesses and startups could easily access funding for innovating technologies that promote sustainability. However, a major challenge hindering the extensive adoption of green fintech identified was the limitation imposed by current regulatory framework. A conclusion from this study is that increasing consumer awareness of green fintech products and their benefits can help increase the rate of implementation of sustainable practices in organizations.

  • Association between mass collaboration and knowledge management: a case ofJordan companies
    Hosam Alden Riyadh, Laith T. Khrais, Salsabila Aisyah Alfaiza, and Abdulsatar Abduljabbar Sultan

    Emerald
    Purpose The key purpose of this research paper was to identify the association between mass collaboration and knowledge management in the context of Jordanian companies. Apart from that, this study also aims to examine the moderating effect of trust and leadership on the association between mass collaboration and knowledge management. Design/methodology/approach In this study, the researcher has followed theprimary quantitative method. For data collection, the researcher has conducted a survey questionnaire, whereas the sample was based on 323 participants from the manufacturing sector of Jordan specifically for data analysis; the technique of structural equation modeling was implemented. Findings All the independent variables, including organizational structure, adoptedtechnologies in mass collaboration and collaborative learning techniques, have a significantimpact on knowledge management and leadership. Moreover, leadership was also found to be significantly moderating the association between adopted technologies in mass collaboration and knowledge management. Similarly, trust also significantly moderates the association of organizational structure and adopted technologies in mass collaboration significantly with knowledge management. Research limitations/implications All study respondents were from Jordan, which might limit the generalizability of the findings. The researchers also invited for more researchers in the incorporation of the time sequence in the proposed causal relations and in the organization level through which mass collaboration and knowledge management. Originality/value This study promises to make a valuable contribution to the existing literature, as there was a lack of evidence in the previous studies regarding the impact of mass collaboration on knowledge management within the context of Jordan.


  • Factors That Affect Digital Innovation Sustainability among SMEs in the Middle East Region
    Laith T. Khrais and Abdullah M. Alghamdi

    MDPI AG
    Digital innovation in small and medium-sized enterprises (SMEs) has been studied extensively over the past quarter-century. The products, processes, and/or model innovation in businesses that are viewed as novel necessitate significant alterations from consumers and are represented in or facilitated by IT; this is what it means when digital innovation is mentioned. Nonetheless, despite the unique application of digital innovation in different organizations, the factors that lead to its success are still uncertain. Therefore, this study aims at evaluating the various factors that affect the digital innovation of SMEs in the Middle East region. This research used a descriptive research design in which primary data from the SME owners and employees were used to evaluate the research objectives. Descriptive statistics, such as frequencies and structural equation models conducted through SPSS, were used to evaluate the research objectives in showing how various factors such as the Internet of Things (IoT; physical objects and things with sensors, software, and other technological techniques integrated into them for the purpose of exchanging data and connecting with other systems and devices), digital platforms, and digital orientation have influenced digital innovation sustainability in SMEs. Results showed a positive and substantial impact on digital innovation sustainability as a result of the IoT, digital platforms, and digital orientation. In conclusion, the research shows that SMEs should use digital platforms, the IoT, and digital orientation to be digitally stable.

  • How mobile phone application enhance human interaction with e-retailers in the middle east
    Laith T. Khrais and Abdullah M. Alghamdi

    International University of Sarajevo
    The paper aims to provide a critical in-depth analysis of Mobile Phone Application's role in enhancing human interaction with E-Retailers, and more specifically, in the Middle East. First, the paper provides an outlook description of the definition and history of Mobile Phone Applications and human interaction and how the two complement each other. Next, the study outlines the various instances that human interaction with Mobile Phone Applications has led to E-retailer success and how it has come about. Then, the discourse provides an analytical look at the E-retailing Business in the Middle East while focusing on the history of E-retailing, business startups in the Middle East, and the revolution of E-retailing in the Middle East. Additionally, the research emphasizes the merits and demerits of using Mobile Phone Applications to promote and enhance E-commerce business in Middle East countries. Using relevant sources and credible references, the analysis will highlight the numerous instances Mobile Phone applications have been used by clients to connect with businesses that maintain an online presence. Using anthological, historical, and descriptive research methods, the arguments portrayed in this paper will heavily reflect on various case studies provided in the article. The case studies feature data representation from research conducted in the Middle East concerning Mobile Phone applications and E-commerce. Through focused approaches, this paper discerns, comprehend, and establishes the framework of the Middle East E-Commerce scene over the years, and outlines how far the industry has made progress through online platforms. Furthermore, emphasis will be laid on the market gaps left to fill in the E-commerce sector in the Middle East and the several approaches to better the industry. Lastly, this paper will conclude by providing my recommendations on the betterment of Mobile Phone Applications and how E-retailing can improve in the Middle East.

  • How covid-19 affected entrepreneurship prosperity process in the digital economy: A case study of middle east


  • Verifying Persuasive Factors Boosting Online Services Business Within Mobile Applications
    Laith T. Khrais

    International University of Sarajevo
    The study's objective is to investigate factors that contribute to user acceptance and the actual use of mobile apps in the online service. The UTAUT and ETAM models were used in this study, and they facilitated the development of the hypotheses. The hypotheses were that quality, satisfaction, security, performance expectation, effort expectation, facilitating conditions, and social influences impact mobile app acceptance and the actual use of online service. The study used a quantitative case study approach and data collection through surveys. The p values obtained for the seven constructs were lower than the 0.05 and 0.001 significance levels and hence supported the hypothesis developed.

  • The role of mobile application acceptance in shaping e-customer service
    Laith T. Khrais and Abdullah M. Alghamdi

    MDPI AG
    Most retailers are integrating their practices with modern technologies to enhance the effectiveness of their operations. The adoption of technology aims to enable businesses to accurately meet customer needs and expectations. This study focused on examining the role of mobile application (app) acceptance in shaping customer electronic experience. A mixed method was adopted, in which qualitative data were collected using interviews, and quantitative data were gathered using the questionnaires. The results indicate that mobile app acceptance contributes to a positive customer experience while purchasing products and services from online retailers. Mobile apps are associated with benefits, such as convenience, ease of use, and the ability to access various products and services. With the rapid development in technology, e-commerce retailers should leverage such innovations to meet customer needs.

  • Role of artificial intelligence in shaping consumer demand in e-commerce
    Laith T. Khrais

    MDPI AG
    The advent and incorporation of technology in businesses have reformed operations across industries. Notably, major technical shifts in e-commerce aim to influence customer behavior in favor of some products and brands. Artificial intelligence (AI) comes on board as an essential innovative tool for personalization and customizing products to meet specific demands. This research finds that, despite the contribution of AI systems in e-commerce, its ethical soundness is a contentious issue, especially regarding the concept of explainability. The study adopted the use of word cloud analysis, voyance analysis, and concordance analysis to gain a detailed understanding of the idea of explainability as has been utilized by researchers in the context of AI. Motivated by a corpus analysis, this research lays the groundwork for a uniform front, thus contributing to a scientific breakthrough that seeks to formulate Explainable Artificial Intelligence (XAI) models. XAI is a machine learning field that inspects and tries to understand the models and steps involved in how the black box decisions of AI systems are made; it provides insights into the decision points, variables, and data used to make a recommendation. This study suggested that, to deploy explainable XAI systems, ML models should be improved, making them interpretable and comprehensible.

  • Comparison study of blockchain technology and IOTA technology
    Laith T. Khrais

    IEEE
    Two major interconnectivity technologies that are present in the contemporary digital era, namely, BlockChain (BC) technology and IOTA are compared in this paper. After this, their characteristics shall be explained in addition to some significant applications which they have been utilized in to provide further context in a real-life setting. In the modern era, success and rise of bitcoin have proven the need as well as the value of blockchain technology. The demand for IOTA industry is increasing day by day. This requires looking for something completely different from the bitcoin as well as the solution for the technology of bitcoin in separated cryptocurrencies. After this, a conclusion shall be presented, which shall serve to summarize the paper as a means of comprehensively present it and synthesizing the gist of the entire paper to present a more nuanced and interconnected understanding of the paper. After this, recommendations shall be provided based on the information presented in the paper to act as a guide for other scholars for their research endeavors. Scholarly articles shall be used where necessary to provide backing and to link additional reference material.

  • Investigation use of Social Media, Mobile Apps, and the impacts of Enlarging E-Commerece
    Laith T. Khrais

    IEEE
    The increased use of the internet is due to the rapid evolution of personal digital services such as laptops, palmtops, tablets, and smartphones. Most companies and industries are currently investing more in the use of mobile shopping apps to increase their global market share and orders from mobile applications. The increased use of mobile app and social media platforms play critical role in the online shopping experience. The research paper employed both qualitative and quantitative research methods investigate how online shopping via mobile app affects online shopping experience. The one-on-one interview was used as a quantitative research method to collect data for the study. A descriptive statistic method was used to analyze the data obtained from the respondents. The results obtained from the two research methods show that the majority of the participants from this study had a good experience in terms of search convenience when shopping online via mobile app (mean: 5.16) than through website (mean: 4.74). 50% of the respondents had the quality experience when shopping via mobile app in terms of access convenience (mean: 4.12) than shopping via website mode (mean: 3.44). 47.3% of the sample size representing the female respondent in the study had a good experience when shopping using the mobile app mode in terms of ease of use compared to the website shopping mode. 60% of the end-users of the online mobile shopping had a bad experience in terms of security concerns associated with online shopping. The main objective of the study is to investigate the contribution of mobile apps and social media on the online shopping experience by online consumers. Besides, the paper conducts a rigorous analysis to analyze the effects of enlarging online business on the mobile shopping experience.

  • The Combination of IoT-Sensors in Appliances and block-chain Technology in Smart Cities Energy Solutions
    Laith T. Khrais

    IEEE
    The Internet of things is becoming an essential part of people's daily lives especially in smart cities where it is used to monitor processes and objects. The multifaceted procedures and decentralized nature of blockchain are integral for solving energy consumption challenges experienced in smart cities. The two technologies are the emerging techniques which can be integrated to bridge the gap between the physical and cyber world. This paper discusses the combination of blockchain technology and IoT-sensors to achieve sustainable futuristic energy solutions through effective monitoring of both the physical and electrical parameters. Consumption of electricity on a daily and weekly basis can be evaluated for home appliances and this solution helps in determining the power consumption rates and how energy costs can be reduced based on the real-time data provided. Some of the solutions include processing energy transactions efficiently, real-time monitoring and analysis of energy use, a decentralized system for self-consumption and lastly, allowing more efficient power distribution and allocation of resources based on data provided by the smart sensors.

  • IoT and blockchain in the development of smart cities
    Laith T. Khrais

    The Science and Information Organization
    With the advent and proliferation of the internet, the fourth industrial revolution is in full swing. As a result, different technologies have the potential to impact the course of human development. In other words, worldwide populations are moving towards growing urban centers and as a result, smart cities are emerging as the integration of human activities and technologies. These smart cities are built on top of different technologies such as blockchain and the Internet of Things (IoT). Consequently, the applications of these technologies in current and future smart cities will not only change the nature of human interaction and governance but also how business is conducted. This paper proposes an experimental study (qualitative and quantitative) that will determine the impact of blockchain and IoT technologies on the development of smart cities. It aims to derive insight from questions such as how current business models are preparing themselves for this disruption, the challenges they will face, and the potential contributions the two technologies will have on business development. The study’s outcomes will provide the rationale for why businesses should start paying attention to these technologies and start on an early adoption plan that will slowly transform their business models as smart cities mature.

  • Privacy issues in E-commerce


  • A readiness evaluation of applying e-government in the society: Shall citizens begin to use it?
    Laith T Khrais, Yara M., and Mohammad Awni

    The Science and Information Organization
    As people are in the era of the web, most of the society is using networks in their daily task, governments had found, it is crucial to build an electronic entity that was named egovernment, to make transactions easier for citizens, and to make government nearer to society. The objective of this study is to assess the extent of e-government application on different countries, particular in Jordan; in addition, several experiences were displayed in this study. The examination was qualitative through interviewing governmental employees for extracting results based on their answers, focusing on the continuity of using e-government by users as a dependent variable. The conclusion was that the policies are trending to build their egovernment entity, and to make it available for citizens to use. Further, this study recommends the government to concentrate on the path of building individuals’ trust as well as using social influence to reinforce the idea of e-government service and evolve

  • Toward a model for examining the technology acceptance factors in utilization the online shopping system within an emerging markets


  • Highlighting the vulnerabilities of online banking system
    Laith T Khrais

    OMICS Publishing Group
    As a result of the growing use of the Internet and developing advanced technology systems globally, there has been an apparent increase in the usage of online banking system across the world, accompanied by widespread incidents of fraud and attack. This paper gives a simple description of the online banking mechanism and the nature of the attacks that involved in the process of conducting an online transaction through a computer, along with the security models and measures that can be used to block the threats.