The dark side of artificial intelligence in retail services innovation

Many academic scholars argue that the goal of using artificial intelligence (hereafter, AI) in business has been to serve humans in performing their jobs. Yet, some scholars refute such arguments and warn against potential threats of AI to humankind in the future. AI or machine intelligence comprises three main aspects, i.e., learning, reasoning, and self-correction which aggregate to conjure up the artificial mind. In retailing, the employment of AI is progressively becoming a major theme of innovation and retailers are rapidly increasing the use of machine intelligence to efficiently simulate human intelligence and become more competitive through cutting costs and improving customer journeys. However, such benefits can be catastrophic in the long run. Hereby, this chapter represents an attempt to produce a synthesis of current research on the use of AI in retailing and identify the possible benefits or ramifications on the human pillars of the retail process (i.e., the employers, employees, and customers). Finally, this chapter aims to reflect on relevant literature to conclude future research and industrial implications

To Relive the Web: A Framework for the Transformation and Archival Replay of Web Pages

When replaying an archived web page (known as a memento), the fundamental expectation is that the page should be viewable and function exactly as it did at archival time. However, this expectation requires web archives to modify the page and its embedded resources, so that they no longer reference (link to) the original server(s) they were archived from but back to the archive. Although these modifications necessarily change the state of the representation, it is understood that without them the replay of mementos from the archive would not be possible. Unfortunately, because the replay of mementos and the modifications made to them by web archives in order to facilitate replay varies between archives, the terminology for describing replay and the modification made to mementos for facilitating replay does not exist. In this thesis, we propose terminology for describing the existing styles of replay and the modifications made on the part of web archives to mementos in order to facilitate replay. This thesis also, in the process of defining terminology for the modifications made by client-side rewriting libraries to the JavaScript execution environment of the browser during replay, proposes a general framework for the auto-generation of client-side rewriting libraries. Finally, we evaluate the effectiveness of using a generated client-side rewriting library to augment the existing replay systems of web archives by crawling mementos replayed from the Internet Archive’s Wayback Machine with and without the generated client-side rewriter. By using the generated client-side rewriter we were able to decrease the cumulative number of requests blocked by the content security policy of the Wayback Machine for 577 mementos by 87.5% and increased the cumulative number of requests made by 32.8%. Also by using the generated client-side rewriter, we were able to replay mementos that were previously not replayable from the Internet Archive

Missoula VoTech Course Catalog, 1989-1990

Course catalog for Missoula VoTech (now Missoula College).https://scholarworks.umt.edu/votechcoursecatalogs/1014/thumbnail.jp

Missoula VoTech Course Catalog, 1990-1991

Course catalog for Missoula VoTech (now Missoula College).https://scholarworks.umt.edu/votechcoursecatalogs/1015/thumbnail.jp

Jefferson Alumni Bulletin – Volume XXII, Number 4 Summer 1973

Jefferson Alumni Bulletin – Volume XXII, Number 4 Summer 1973 The foundation and the founder, page 3 A time to remember, page 8 Reunion week activities, page 11 The family therapy and training unit, page 19 Jefferson scene, page 24 Profile, page 28 Jefferson art, page 30 Class notes, page 40 Obituaries, page 5

The dark side of artificial intelligence in retail innovation

Many academic scholars argue that the goal of using artificial intelligence (hereafter, AI) in business has been to serve humans in performing their jobs. Nevertheless, some scholars refute such arguments and warn against potential threats of AI to humankind in the future. AI or machine intelligence comprises three main aspects, i.e., learning, reasoning and self-correction, which aggregate to conjure up the artificial mind. In retailing, the employment of AI is progressively becoming a major theme of innovation and retailers are rapidly increasing the use of machine intelligence to efficiently simulate human intelligence and become more competitive through cutting costs and improving customer journeys. However, such benefits can be catastrophic in the long run. As a result of this, this chapter represents an attempt to produce a synthesis of current research on the use of AI in retailing and identify the possible benefits or ramifications on the ‘human’ pillars of the retail process (i.e., the employers, employees and customers). Finally, this chapter aims to reflect on relevant literature to conclude future research and industrial implications

Innovation - Expanding Possibilities

Table of Contents: Features12 | Stem cells in space16 | Taking innovation to the world18 | An innovative approach to education and outreach20 | Neuropathy treatment restores hope24 | Medicine meets lifestyle and behavior28 | Throwing tomatoes at autoimmune disease30 | Virtual reality therapy brings healing in stroke patients34 | How Loma Linda University Health innovations change health care Departments 4 | From Our President - On Innovation6 | Updates - Clinical and campus news36 | Giving - Philanthropy focus40 | Gallery - Commencement in pictures44 | Alumni - Serving in the U. S. and abroadhttps://scholarsrepository.llu.edu/scope/1212/thumbnail.jp

Meta-Synthesis Of Sampling Methods Using Coding Strategies And Social Media For Deaf And Hard Of Hearing Nursing Students

In 2010, the birth of an aggressive strategy began to emerge aimed to increase the number of Deaf and Hard of Hearing (D/HH) individuals in professional healthcare fields. Employers and higher education admission officials desired more research. Data revealed that the field of nursing had a higher percentage of Deaf and Hard of Hearing professionals than other areas. Yet, there is a gap in the literature related to in-depth accounts about the learning experience and clinical training of D/HH nursing students. A phenomenological study was conducted to examine nursing experiences (homogenous sampling) compared to other clinical and non-clinical D/HH majors (heterogeneous sampling). The purpose was to explore higher learning and on-the-job experiences of 28 students and alumni within D/HH community. Primary and secondary data was generated from surveys (2), videos (11), meta-synthesis focus group summaries (13) and articles (2). Multiple coding strategies were used for data analysis in the mix-methods study