An Empirical Study on the Importance of Psychological Contract Commitment in Information Systems Outsourcing

In IS outsourcing relationship literature, research has focused on detailed legal contracts and partnerships. We investigate the role of psychological contracts between client and vendor in the IS outsourcing context. The aim of this paper is to put the concept “psychological contract commitment” (PCC) under the spotlight, finding out its mediating effects between legal contracts/partnerships and IS outsourcing success. By analyzing 50 matched survey responses gathered from project managers, vendor firms, and end-users, we found that psychological contract commitment has both direct and mediating effects on outsourcing success. Along the same lines, the key findings suggest that psychological contract commitment explains why legal contracts and partnerships are still crucial to IS outsourcing success

Miuraea migitae, a new record of the order Bangiales (Bangiophyceae, Rhodophyta) from Korea

Abstract We found specimens of foliose Bangiales from the subtidal zone of Udo, Jeju Island, Korea. In molecular analyses of rbcL sequences, these Korean specimens were almost identical to Miuraea migitae from Osaka, Japan. In the morphological comparison, Korean specimens were consistent with habitat, color, and vegetative characteristics with the description of M. migitae. This is the first record of M. migitae outside the type locality and Nagasaki in Japan. This study confirms that new or unrecorded species of the order Bangiales may be discovered from subtidal habitats

Total Laparoscopic Hysterectomy and Laparoscopy-Assisted Vaginal Hysterectomy

This study suggests that total laparoscopic hysterectomy and laparoscopic-assisted vaginal hysterectomy are safe and feasible with laparoscopic-assisted hysterectomy preferred in patients with a mass involving the lower uterine segment or those with a large uterus

Seq2Seq-SC: End-to-End Semantic Communication Systems with Pre-trained Language Model

While semantic communication is expected to bring unprecedented communication efficiency in comparison to classical communication, many challenges must be resolved to realize its potential. In this work, we provide a realistic semantic network dubbed seq2seq-SC, which is compatible to 5G NR and can work with generalized text dataset utilizing pre-trained language model. We also utilize a performance metric (SBERT) which can accurately measure semantic similarity and show that seq2seq-SC achieves superior performance while extracting semantically meaningful information.Comment: 4 pages, 2 figures, 3 table