A Study of Integration of Robotics in the Hospitality Sector and Its Emulation in the Pharmaceutical Sector

Qureshi, Mohammed Owais; Sajjad, Rumaiya

doi:10.21767/1791-809x.1000483

Cited by 10 publications

(5 citation statements)

References 4 publications

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“…Researchers have proposed the benefits of using robots as an alternative to low-skilled employees, since robots are easier to train, are capable of providing more reliable and consistent levels of service, and do not lose interest in mundane and repetitive tasks (C. M. Kuo et al, 2017; Qureshi & Sajjad, 2017). However, the restaurant industry is expected to remain highly labor-intensive, regardless of the amount of technology implemented (National Restaurant Association [NRA], 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

How To Build a Better Robot . . . for Quick-Service Restaurants

Zemke

Tang²,

Raab³

et al. 2020

Journal of Hospitality & Tourism Research

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Hospitality firms are exploring opportunities to incorporate innovative technologies, such as robotics, into their operations. This qualitative study used focus groups to investigate diner perspectives on issues related to using robot technology in quick-service restaurant (QSR) operations. QSR guests have major concerns regarding the societal impact of robotics entering the realm of QSR operations; the cleanliness and food safety of robot technology; and communication quality, especially voice recognition, from both native and nonnative English speakers. Participants also offered opinions about the functionality and physical appearance of robots, the value of the “human touch,” and devised creative solutions for deploying this technology. Surprisingly, few differences in attitudes and perceptions were found between age groups, and the participants were highly ambivalent about the technology. Future research may consider further exploration of robot applications in other restaurant segments, using quantitative methods with a larger sample.

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Section: Literature Reviewmentioning

confidence: 99%

How To Build a Better Robot . . . for Quick-Service Restaurants

Zemke

Tang²,

Raab³

et al. 2020

Journal of Hospitality & Tourism Research

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“…Therefore, the available work input of care personnel must be directed solely toward tasks requiring human, professional, and nursing competency (Aluttis, Bishaw, & Frank, ). At an international level, there have been considerable developments in how the health sector can work with the aid of robotics (Qureshi & Sajjad, ). Focusing on the work of care personnel is also significant for the outcomes of patient care, as care personnel spend more time with patients than any other professional group (DeLucia, Ott, & Palmieri, ).…”

mentioning

confidence: 99%

Care Personnel's Attitudes and Fears Toward Care Robots in Elderly Care: A Comparison of Data from the Care Personnel in Finland and Japan

Coco

Kangasniemi

Rantanen

2018

J of Nursing Scholarship

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Purpose:The aim of the study was to analyze and compare elderly care personnel attitudes toward care robots in Finland and Japan. Design: Cross-sectional survey in Finland and Japan. Methods: The Finnish sample was collected from care personnel in home care facilities in five municipalities in 2016. The Japanese sample was collected from personnel in two rehabilitative day centers and three residential care homes for the elderly in the north of Honshu Island in 2017. The data were analyzed using basic statistical methods and calculated descriptive statistics (frequencies). Differences between the Finnish and Japanese data have been analyzed using the Mann-Whitney U test. Findings: Overall, Japanese care personnel assessed the usefulness of robots more positively than did their Finnish counterparts. The data showed substantial national differences in the perceived importance of various potential tasks for care robots. The findings show that there are also certain fears related to the introduction of care robots, in particular among the Finnish care personnel. Discussion: The data from the Japanese care personnel bring new perspectives to the concept of a close human-robot relationship. The differences seen in the results between Finland and Japan can be partly explained by cultural dissimilarity, but it is also known that Japan is a more developed country with regard to the use of robotics in nursing care. The research highlights the importance of cultural factors when examining the issue of care robotics. The factors affecting fear are a concern that care robots would be used to replace people, the dehumanization of treatment, and an increased loneliness in the elderly. Thus, further research is required to demonstrate the relationship between different cultural factors, and attitudes and conceptions toward care robots. Clinical Relevance: Management plays a key role when implementing robotics. It is important to help care personnel accept care robots, and to diminish any fears that their introduction would make the treatment of elderly people inhumane or in some way add to their loneliness. As such, education is crucial in changing attitudes and making care personnel understand that care robots can perform routine tasks, allowing care personnel to focus on providing improved care and nursing.Care Personnel's Attitudes and Fears Coco et al.

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“…Robot's technological character was unquestionably a contributing factor. Metal production machinery, which appeared to be filled with oil, didn't seem like a good fit for pharmaceuticals 34 .…”

Section: How the Pharmaceutical Industry Has Beenmentioning

confidence: 99%

Untitled

2023

IJPSR

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The rapid development of artificial intelligence (AI) has far-reaching consequences for the global economy. Computers are helping with human input, decisionmaking, and data provision in medicine more than ever before. AI, algorithms, robotics, and big data are all used in today's healthcare sector and the medical profession to derive inferences for monitoring large-scale medical trends and detecting and measuring individual risks and chances based on data-driven estimations. Healthcare is a knowledge-intensive industry that relies heavily on data and analytics to advance treatments and procedures. There has been a significant expansion in the types of medical data gathered in recent years. This includes clinical, genetic, behavioural and environmental information. Large volumes of data from various sources are generated daily by healthcare providers, biomedical researchers, and patients. Technology advancements, such as AI, allow for the analysis of human thought processes. The pharmaceutical business saw significant transformation as a result of the application of machine learning, AI, and automation processes. Various types of analysis have contributed to a general decline in death rates. The use of AI techniques aids in diagnosing the most serious illnesses. To properly diagnose and treat a patient, it is essential to first identify any potential genetic disputes. Technological advancements have made it easier for pharmaceutical companies to detect dosage mistakes. Machine learning relies on monetary analysis, regular spectral analysis and the feature attraction process. The creation of an intelligent computer program is crucial for modelling mechanical systems. In this review, we have glanced at how technology plays a part in the pharmaceutical industry and at the potential outcomes that robotics and AI could have. INTRODUCTION:Robotic systems with artificial intelligence (AI) can learn, make decisions, and solve problems in a manner comparable to that of a person, but they are not yet QUICK RESPONSE CODE

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A Study of Integration of Robotics in the Hospitality Sector and Its Emulation in the Pharmaceutical Sector

Cited by 10 publications

References 4 publications

How To Build a Better Robot . . . for Quick-Service Restaurants

How To Build a Better Robot . . . for Quick-Service Restaurants

Care Personnel's Attitudes and Fears Toward Care Robots in Elderly Care: A Comparison of Data from the Care Personnel in Finland and Japan

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