The research aimed to evaluate the impact of operations management practices (OM) on the competitive advantage of Saudi Arabian Small and medium-sized enterprises (SMEs). It further aimed to analyse the mediating role of supply chain management practices (SCM). The research design of the study was quantitative, and primary data was gathered using a close-ended survey questionnaire. In this research, 383 participants were recruited belonging to different industries. The analysis was conducted on SmartPLS with SEM as the primary technique. The results revealed that operations management practices significantly helped in gaining competitive advantage, and supply chain management practices mediated the relationship partially. However, this research was limited to SMEs of Saudi Arabia, therefore, it can be improved in the future with the inclusion of other factors and considering other countries as well. Precisely, it is recommended that the SMEs should focus on leveraging their core competencies or identify an area which can give them a definite competitive advantage and further ensures that customer needs are translated on the product planning.

Web based and/or existing e-commerce have changed the traditional view of CRM to the eCRM. Recent studies on eCRM has investigated success factors of e-CRM in different contexts and fields. This paper aims to investigate the effect of customer satisfaction, customer trust and commitment, customer profitability on eCRM in Saudi Arab. This study was designed quantitative cross-sectional questionnaire survey. This quantitative study used questionnaire survey design and 319 respondents were taken into account for analysis procedure. Structural Equation Modelling was applied and SmartPLS tools was used to test the hypotheses. Customer satisfaction, customer profitability, trust and commitment have shown to have positive significant effects on eCRM. Empirical evidence of this study confirmed that from the customer point of view customers satisfaction, customer profitability, customer trust and commitment were the strong predictors of successful eCRM.

Digital development transformation and rapid dissemination of technological innovations, has let various e-retailers site make an advanced investment to get the benefit of the latest business opportunity for building innovations. Thus, this study identifies the main effect of perceived e-retailers websites innovativeness on supply chain performance, functional competences, perceived self-congruence, customer hope, perceived service advantages, word of mouth behavior, and hedonic value. Data used in this study were collected from banking customers who own a visa card that allows them excute an online payment and the sample was tested on the analysis model using (SEM-PLS) tool. The results of the study support that e-retailers' website innovativeness was positively associated with the constructs of each innovation factor. The given analyses supervise practitioners for better management of e-retailers website innovation implementation along with the supply chain performance.

The objective of this study is to empirically evaluate the associations of information technology, supply chain management, and logistic capability with a competitive advantage of some Saudi Arabia industry during the year of 2020 using Resource-based Theory. Using the information from a self-administered survey with an ultimate sample of 118 respondents, the outcome of Multiple Regression indicates a significant positive correlations of information technology, supply chain management, and logistics capabilities strategies with a competitive advantage. The outcome of this study should be applied by the company’s top management to improve their supply chain management within strategic plans, as a result, increase the magnitude of their competitive advantage and financial performance.

This research aimed to evaluate the effect of improvement in the logistic issues on the service quality (SQ) dimensions of SMEs operating in Saudi Arabia. The investigation followed a quantitative assessment where SEM modelling was used on primary data collected using a survey questionnaire. The sample comprised of 351 employees belonging to different industries and different cities of Saudi Arabia, Jeddah, Khobar, Dammam, and Riyadh. The research identified quality logistics personnel, inventory management, and high technology cost as critical issues in Saudi SMEs. In this research, three SQ dimensions were considered, including assurance, reliability, and responsiveness. The results inferred that the overall effect of improvement in logistic issues was significant on the SQ dimensions. However, the study was limited to Saudi SMEs and three aspects of topics and three dimensions of SQ only. Considering this, the findings of the study have both practical and theoretical implications for SMEs, academicians, and practitioners.

This paper studies the effect of CEO attributes on firms’ R&D spending in Saudi firms. Mainly, it examines the influence of CEOs’ education (level and background), CEOs’ experience (work experience, tenure and functional background), CEOs’ origin and CEOs' ownership. These attributes are among the main CEO attributes that are not considered simultaneously by previous studies. Empirically, we use a sample of 63 listed Saudi companies on Tadawul stock exchange. The study uses a panel model employing data over the period from 2016 to 2019 with 252 observations and formulates five different equations using the ordinary least square regression. Findings show that companies employing CEOs with functional backgrounds in marketing and/or engineering will invest more in R&D. Similarly, R&D spending increases when the CEO is an insider and has a part in the firm capital. These results would help scholars and shareholders to understand what makes executives more willing to initiate innovation and thus, they can select and govern well the company’s CEO.

The purpose of this study is to investigate the moderating role of digital marketing strategies on innovation through Artificial Intelligence (AI) mediating impact in Small and Medium Enterprises within Saudi Arabia. Advanced analytics tools analyzed data from KSA SMEs to establish the role of AI, customer behavior, and experiences in product and process innovation. Artificial intelligence boosts product and process innovation with unconventional customer knowledge. Integrating AI combined with digital marketing to improve decisions and efficiency, to increase understanding of customer dynamics for sustaining growth and promoting collaborations. Using AI-empowered digital marketing strengthens Saudi SMEs advancement by promptly reacting to market motions. Sustainability practices attract the environmentally conscious consumer. This research provides actionable insights for SMEs who want to employ digital marketing and AI strategies and contribute to building an economic environment in Saudi Arabia.

The main goal of this research is to study and investigate the impact of data management and analysis tools on improving organizational behavior within three IT service firms in Jordan. This research focuses on choosing three data management and analysis tools: Database analysis tool, data processing tool, and big data processing tool and how these tools could positively influence enhancing employee performance and organizational behavior. It accomplishes this within the distinct framework of three Jordanian IT service firms. The research supposed that combining big data analysis, integrated data processing, and database analysis is necessary to enhance organizational behavior and employee performance, as indicated by the findings. Furthermore, the research highlights the potential for IT service firms in Jordan to benefit from emerging database analysis technologies, promote the use of integrated data processing techniques, and leverage big data analysis for their own benefit. This can enhance corporate behavior and employee performance. Data was distributed and collected from three Jordanian IT service firms, and all collected data was analyzed using AMOS. The study's findings offer valuable recommendations for enhancing the operational efficiency of IT service firms in similar business environments, emphasizing the crucial importance of comprehending and purposefully employing database-related technologies for sustained prosperity.

This study examines the extent of adoption of electronic payment methods in Jordanian banks and compares them with traditional alternatives. Focusing on banking customer behavior, we conducted a comprehensive survey among banking customers to uncover insights on trust, perceived benefits, financial literacy, ease of use, security and cost considerations. By analyzing the data collected using the questionnaire study tool, we reveal the motivations behind customers’ electronic payment preferences. By highlighting these factors, our research contributes to the understanding of the evolving payment landscape and provides actionable insights to enhance the adoption of electronic payment in Jordan’s financial system, in line with global technological trends. The results of the study revealed that all study variables had a significant impact (trust, ease of use, perceived security, and cost of service) on the use of electronic payment methods. In addition, gender, number of years of dealing with the bank, and type of electronic payment used more than once by customers in the banking sector did not have a significant impact.

Recently, due to the tremendous development in information and communication technology, the world is moving rapidly towards digitization in all areas of life. In the financial context, Financial Technology (Fintech) has the potential to transform the financial sector by offering innovative digital solutions, but its adoption depends on various individual, organizational, and environmental factors. This research paper aims to identify and analyze the determinants that influence the intention to adopt fintech. A self-administered survey was utilized to collect the necessary data. Data were analyzed using SPSS version 26 for descriptive analysis as well as SmartPLS version 3.0 by implementing the PLS algorithm and Bootstrapping techniques. This study finds that intention to adopt Fintech is affected by perceived usefulness, perceived ease of use, trust, social influence, and facilitating conditions. This study also examined the relationships between these variables. The findings will provide insights for fintech stakeholders, policymakers, and researchers to foster a conducive environment for Fintech adoption and usage.