Assessing the impact of artificial intelligence on project efficiency enhancement

This study investigates the Millennials and Gen Z perception toward Fintech services, their usage intention, and their financial behavior. The study took place in the Palestinian context with a global comparison among these generations. The authors used the questionnaire-based technique to meet the study objective. West Bank respondents were selected for this purpose; the study instrument was distributed through different social media channels. The findings show that reliability/trust and ease of use are the main issues in using a financial service. Millennials are more aware (48%) of Fintech services than Gen Z (38%), which is different from the global view where Gen Z is the highest. The smartphone penetration rate is 100% among both generations, while the financial inclusion ratio in Palestine is around 36.4%; these clear indicators are the main Fintech drivers to promote Fintech services in Palestine, and these are global indicators for Fintech adoption intention. Both generations (84%) intend to use e-wallet services, Millennials (87%) and Gen Z is (70%) prefer using real-time services. Half of the respondents see that Fintech plays a complementary role with banks. The majority see that Fintech services are cheaper than bank services. Wealth management, and robot advisor services, and both generations are looking to acquire them in the long run. The authors revealed that 85% of respondents from both generations trust banks, so it is recommended that banks digitize their financial services to meet the customers’ needs, considering that 90% of respondents see that promotions are a key issue in adopting Fintech services. Promoting e-wallet services by banks is highly recommended due to the massive rivalry with Fintech parties.

This research aims to propose and validate research of a New Framework for integration of the concept of sustainability in projects by investigating the relationship between project and sustainability for project success. Integrating sustainability in projects is crucial metric for project success. However, the dearth in literature and the slow pace in emerging literature has left many issues unanswered regarding integration of sustainability in projects and the commitment of project teams to sustainability pillars. Therefore, this article explores the current state of sustainability, its potential weaknesses and therein proposes corrective action for the legitimatization of a New Framework on ‘project sustainability’ in an authentic environment. The methodological approach adopted in this research is a pragmatic examination of secondary data collected by the project team during a one-year period that demonstrates the effects of neglecting proactive management of the three pillars of sustainability resulting in poor project performance in terms of resources and stakeholder resistance, as well as the lessons learned therein. The findings reveals a low degree of commitment by project teams towards sustainability particularly with regard to social and environment pillars, even though the economic pillar has been given much attention, there is still much to be done. Hence, the importance of the proposed New Framework for project success. This research concludes and recommends the need to integrate sustainability adequately throughout a project life-cycle for the attainment of organizational strategy and satisfying stakeholders’ expectations. However, this can take place with a knowledgeable project management team on sustainability.

The essence of this research is to shed light on use and importance of artificial intelligence (AI) in commercial activity. As such, the objective of the present study is to understand the impact of AI tools on the development of business functions and if they can be affirmed as a means of help or as a substitute for these functions. In-depth interviews were conducted with 15 commercial managers from technological SMEs. The results indicate that all the participants use AI systems frequently, that these tools assist in developing of their functions, allowing having more time and better preparing to solve the commercial problems. The findings also indicate that the tools used by commercials are still somewhat limited, and companies should focus on their training and development in AI, as well as the training of their commercials. Furthermore, the results show that firms intend to use the data collection and the analytical tool that enable real-time response and customization according to customer needs.