Credibility-based knowledge graph embedding for identifying social brand advocates.

Brand advocates, characterized by their enthusiasm for promoting a brand without incentives, play a crucial role in driving positive word-of-mouth (WOM) and influencing potential customers. However, there is a notable lack of intelligent systems capable of accurately identifying online advocates based on their social interactions with brands. Knowledge Graphs (KGs) offer structured and factual representations of human knowledge, providing a potential solution to gain holistic insights into customer preferences and interactions with a brand.

The role of AI-enabled health systems in the Jordanian context: the case of digital contact tracing apps.

Purpose: Digital health or digital healthcare, is a broad, multidisciplinary concept that includes concepts from an intersection between technology and healthcare. Digital health applies digital transformation to the healthcare field, incorporating software, hardware and services. The usefulness of digital health technologies such as digital contact tracing apps (CTAs) depends deeply on the acceptance to use them.

Breaking into the black box of customer perception towards robot service: Empirical evidence from service sector.

The advent of artificial intelligence and machine learning has enabled robots to serve in consumer market for a better customer experience. Nevertheless, acceptance of robotic technology among consumers is still lacking. Therefore, this study has developed an integrated model with robot appearance, expectation confirmation model, diffusion of innovation and theory of planned behavior and empirically investigates customer intention to use service robot.

The impact of management practices and industry 4.0 technologies on supply chain sustainability: A systematic review.

This systematic review addresses a significant gap in the existing literature by examining the intricate relationship between management practices and Industry 4.0 technologies in shaping supply chain sustainability. While prior studies have explored their individual impacts, this review synthesizes and categorizes findings to identify nuanced trends that contribute to supply chain efficiency, waste reduction, and environmental footprints.

Exploring the factors that influence academic performance in Jordanian higher education institutions.

Since the coronavirus 2019 (COVID-19) pandemic hit the world, many universities have used digital asynchronous learning tools such as Digital Learning Management Systems (DLMS) to continue the educational process. Despite its global usage, only a few studies have investigated its quality in the Jordanian context during the COVID-19 period from a quantitative and qualitative approach perspective. Thus, the current study aims to explore the factors that influence academic performance in Jordanian higher education institutions during the COVID-19 pandemic.

The Role of Personality and Top Management Support in Continuance Intention to Use Electronic Health Record Systems among Nurses.

This study examines nurses' Continuance Intention (CI) to use electronic health records (EHRs) through a combination of three conceptual frameworks: the Unified Theory of Acceptance and Use of Technology (UTAUT), the theory of expectation-confirmation (ECT), and the Five-Factor Model (FFM). A model is developed to examine and predict the determinants of nurses' CI to use EHRs, including top management support (TMS) and the FFM's five personality domains. Data were collected from a survey of 497 nurses, which were analyzed using partial least squares.

Short-term renewable energy consumption and generation forecasting: A case study of Western Australia.

Peer-to-Peer (P2P) energy trading has gained much attention recently due to the advanced development of distributed energy resources. P2P enables prosumers to trade their surplus electricity and allows consumers to purchase affordable and locally produced renewable energy. Therefore, it is significant to develop solutions that are able to forecast energy consumption and generation toward better power management, thereby making renewable energy more accessible and empowering prosumers to make an informed decision on their energy management.

The impact of green lending on credit risk: evidence from UAE's banks.

This study investigates the impact of UAE's Green Credit Policy on the non-performing loan. One of the main pillars in the UAE green agenda 2015-2030 is the green finance that has been growing in high acceleration in the Gulf Cooperation Council (GCC) countries and the whole world. Consequently, the main objective of this study is to investigate in the financial risks that associated with green lending and whether an increasing in green lending will decrease the non-performing loans ratio (NPLR) of UAE banks, based on the period 2015-2020 dataset of 23 UAE's banks.

Dataset on the Acceptance of e-learning System among Universities Students' under the COVID-19 Pandemic Conditions.

The COVID-19 pandemic has produced an unprecedented change in the educational system worldwide. Besides the economic and social impacts, there is a dilemma of accepting the new educational system "e-learning" by students within educational institutions. In particular, universities students have to handle several kinds of environmental, electronic and mental struggles due to COVID-19.