Antecedents of entrepreneurial intentions in smart city of Neom Saudi Arabia: Does the entrepreneurial education on artificial intelligence matter?

The main purpose of this empirical study is to explore the entrepreneurial self-efficacy, and entrepreneurial competency as antecedents to the entrepreneurial intentions in smart city of Neom Saudi Arabia. Additionally, the study has also examined the mediating role of entrepreneurial education on artificial intelligence in the relationship between the entrepreneurial self-efficacy, entrepreneurial competency, and the entrepreneurial intentions in smart city of Neom Saudi Arabia. The study has employed the SEM-PLS for the data analysis. A sample based on 550 students from private (n = 291, 52.9 %) and public universities (n = 259, 47.1 %) of KSA were randomly selected. The entrepreneurial self-efficacy, and entrepreneurial competency are reported to have a positive and significant influence on entrepreneurial intentions. The entrepreneurial education on artificial intelligence, medicate the relationship between the entrepreneurial competency, entrepreneurial self-efficacy, and entrepreneurial intentions The model is contextually suitable for motivating individuals to become self-sufficient and for enabling them to harness their creativity through entrepreneurial and profit-driven endeavors in smart cities. This study has significant implications for entrepreneurs, practitioners, and governments alike. The findings provide a guideline for governments in establishing an environment that supports the individual drive to embark on entrepreneurial endeavors. Among the stimulus for encouraging entrepreneurship include the provision of loans with reasonable interest rates and knowledge sharing sessions by prominent entrepreneurs. Drawing inferences from the empirical findings and discussions, this present study has made appreciable theoretical contributions to the existing body of literature, specifically, in the area of entrepreneurial intentions in smart city

Organizational Performance and Capabilities to Analyze Big Data: Do the Ambidexterity and Business Value of Big Data Analytics Matter?

Objective/Purpose: The aim of the study is to examine the impact of the big data analytics capabilities (BDAC) on the organizational performance. The study also examines the mediating role of ambidexterity and the moderating role of business value of big data (BVBD) analytics in the relationship between the big data analytics capabilities and the organizational performance. Methodology/Design: This study collected primary data based on a questionnaire survey among the large manufacturing firms operating in UAE. A total of 650 questionnaires were distributed among the manufacturing firms and 295 samples were used for final data analysis. The survey was conducted from September to November in 2019 and partial least squares structural equation modeling (PLS-SEM). Findings: The BDA scalability is supported by the findings on the performance of firm and its determinants such as system, value of business, and quality of information. The role of business value as a moderator and ambidexterity as mediator are found significant. The results reveal that there is a need for managers to consider the business value and quality dynamics as crucial strategic objectives to achieve high performance of the firm. Implications: The study has significant policy implication for practitioners and researchers for understanding the issues related to big data analytics. Originality/Value: This is an original study based on primary data from UAE manufacturing firms

Traditional Marketing Analytics, Big Data Analytics, Big Data System Quality and the Success of New Product Development

Objective/Purpose: This study investigates the impact of traditional marketing analytics and big data analytics on the success of a new product. Moreover, it assesses the mediating effects of the quality of big data system. Methodology/Design: This study is based on primary data that were collected through an online questionnaire survey from large manufacturing firms operating in UAE. Out of total distributed 421 samples, 327 samples were used for final data analysis. The survey was conducted from March-April 2020 and data analysis was done via Structural Equation Modelling (SEM-PLS). Findings: It emerges that big data analysis (BDA), traditional marketing analysis (TMA) and big data system quality (BDSQ) are significant determinants of new product development (NPD) success. Meanwhile, the BDA and TMA significantly affect the BDSQ. Results of the mediating role of BDSQ in the relationship between the BDA and NPD as well as TMA and NPD are significant. Implications: There are significant policy implications for practitioners and researchers concerning the role of analytics, particularly big data analytics and big data system quality, when attempting to achieve success in developing new products. Originality/Value: This is an original study based on primary data from UAE

The Role of Social Media Usage, E-WOM, and Perceived Enjoyment in Shaping Customer Attitudes and Blockchain Adoption Loyalty in UAE Banking: A Quantitative Investigation

Technology is shaping the banking sector around the globe. Therefore, the prime objective of this research was to examine the relationship among social media use, e-WoM, perceived enjoyment and customer\u27s attitude towards loyalty to the use of Blockchain technology in the context of U.A.E. banks. This study used a cross-sectional research design and quantitative methods for data collection. Five-point Likert scale was used to develop the well-designed questionnaire for data collection. A simple random sampling technique was adopted to distribute the questionnaire among respondents. A sample of one hundred seventy-four observations was analyzed using Smart PLS 3.3.9. The findings confirmed the significant and direct effect of social media use, e-WoM, and perceived enjoyment on customers\u27 attitudes. The direct effect of customer attitude on Blockchain adoption was also supported. The findings also revealed the important mediating role of customer attitude as well. The findings are helpful for policymakers and academicians

Harnessing IoT, E-Business, and Digital Marketing for Enhancing User Satisfaction and Performance in UAE\u27s Hotel Industry: An Empirical Study

The hotel industry in UAE is one of the major source of revenue, competition among the hotels is mounting every day. Therefore, the top management of these hotels needs to identify the factors to improve their performance. This study aims to analyze the effect of IoT, E-business strategy, digital marketing and performance through user satisfaction. The quantitative research was conducted by distributing questionnaires among the customers of different hotels of UAE. The sampling technique adopted in this study was purposive sampling. The usable questionnaires used for analysis were 212. The study adopted the SEM technique and PLS tool for analysis. The results indicate that digital marketing, IoT, and e-business strategy significantly impact the user satisfaction. User\u27s satisfaction is an important predictor of the performance of hotels. These findings can be valuable for decision-makers in the UAE hotel industry