Pune (Maharashtra) [India], May 3 (ANI/SRV): Symbiosis Institute of Business Management (SIBM), Pune, a renowned Indian B-school, collaborated with Swansea University, United Kingdom (UK) and has been running the third edition of an online seminar series titled The Digital Future for Business & Society.
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LJUBLJANA, Slovenia, April 23, 2021 /PRNewswire/
The Working Group on Supply Chain Data Interoperability and Semantic Web was established on the 1st of April, kicking off an inclusive collaboration to facilitate the use of globally recognized data standards (such as GS1 and W3C) and Semantic Web technologies. The initiative s overarching goal is to advance interoperability and positively impact sustainability in supply ecosystems by enabling trusted data exchanges beyond organizational, institutional and proprietary silos. An important part of the working group are the academics and research institutes, providing the normative backbone of the group s ambitions.
The first task of the working group is to complete a systematic literature review of peer-reviewed publications and document the current state of knowledge on data interoperability and Semantic Web in supply ecosystems. The research work will be complemented by facilitated discussions with other stakeholders in the w
Meet the academics and research institutes taking part in the Trace Alliance Data Interoperability and Semantic Web Working Group prnewswire.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from prnewswire.com Daily Mail and Mail on Sunday newspapers.
- Women are perceived as more human than men, overall and compared to non-human entities (animals and machines).
- Female bots are endowed with more positive human qualities than male bots, and they are perceived as more human than male bots, compared to both animals and machines.
- The inferred humanness of female bots increases perceived uniqueness of treatment from them in a health context, leading to more favorable attitudes toward AI solutions.
We used several different measures of perceived humanness, compared to both animals and machines. For example, to measure blatant humanness of female and male bots compared to animals, we used the ascent humanization scale based on the classic “march of progress” illustration. We explicitly asked online respondents to indicate how “evolved” they perceived female or male bots to be, using a continuous progression from ancient apes to modern humans.