Fawaz Baddar Al Hussan

@article{tao_3056,

title = {Artificial intelligence-driven transformations in low-carbon energy structure: Evidence from China},

author = {Weiliang Tao and Shimei Weng and Xueli Chen and Fawaz Baddar Al Hussan and Malin Song},

url = {https://www.sciencedirect.com/science/article/abs/pii/S0140988324004274},

year  = {2024},

date = {2024-08-01},

journal = {Energy Economics},

volume = {136},

pages = {107719},

abstract = {The widespread integration of artificial intelligence (AI) technology in the realms of energy and the environment has emerged as a catalyst for transformative shifts toward low-carbon energy structures. However, existing literature and practical applications have yet to delve into the intricate ways in which intelligent technology influences energy structures. Consequently, this study addresses this gap by constructing a comprehensive theoretical model that encompasses robots and differentiated energy inputs. By drawing on the Chinese case, this research investigates the impact of AI on low-carbon energy structure transformation, both theoretically and empirically. The study's results reveal that AI technology significantly advances the cause of low-carbon energy transformation. Notably, this effect is manifested in the post-Industry 4.0 era and regions endowed with abundant renewable energy resources and strong governmental support for innovation. Rigorous robustness tests substantiate the existence of this relationship. Furthermore, adopting smart technology fosters energy structure transformation through industrial restructuring, and introduces the energy rebound effect, thereby partially offsetting its positive impact. Importantly, the study underscores that the efficacy of AI is further heightened when the influx of innovation factors surpasses a certain threshold. These findings furnish crucial evidence and policy insights for China and other developing nations, offering guidance on accelerating energy transitions and attaining carbon neutrality.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{baddar_al_hussan_1426,

title = {IMP 2019 conference special edition ?Value co-creation in B2B markets?},

author = {Fawaz Baddar Al Hussan and Nicholas Paparoidamis and Faten Baddar Alhusan and Peter Batt},

url = {https://www.sciencedirect.com/science/article/pii/S0019850121000985?via%3Dihub},

year  = {2021},

date = {2021-07-01},

journal = {Industrial Marketing Management},

volume = {96},

pages = {163-165},

abstract = {x},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zhang_2399,

title = {Informal Interorganizational Business Relationships and Customer Loyalty: Comparing Guanxi, Yongo, and Wasta},

author = {Man Zhang and Janet Hartley and Faten Baddar AL-Husan and Fawaz Baddar Al Hussan},

url = {https://www.sciencedirect.com/science/article/pii/S0969593121000123},

year  = {2021},

date = {2021-06-01},

journal = {International Business Review},

volume = {30},

number = {3},

pages = {101805},

abstract = {Based on social exchange theory, this research explores if informal interorganizational business relationships in China (guanxi), South Korea (yongo), and Egypt/Jordan (wasta) affect customer loyalty in a business to business context. A conceptual model hypothesizes interrelationships among three underlying dimensions of informal relationships, reciprocity, affect, and trustworthiness, and with customer loyalty. The hypotheses were tested using survey data gathered from manufacturing companies in China, South Korea, Jordan, and Egypt. Structural equation modeling shows that guanxi, yongo, and wasta are positively related to customer loyalty across all four countries. However, there are some differences in the relationships among the three dimensions. Although reciprocity is positively related to affect in guanxi and yongo, this relationship is not statistically significant in wasta. Further, the items measuring the dimensions of trustworthiness and reciprocity are the same in guanxi and yongo, but these differ from wasta. Thus, managers need to be aware of subtle differences in how informal interorganizational relationships are developed and used in international business to business relationships},

keywords = {},

pubstate = {published},

tppubtype = {article}

}