The intervention of artificial intelligence in the recruitment function in UAE’s hospitality industry

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Bharti Pandya ◽  
Maryam Mohammed Al Janahi
Keyword(s):  
Artificial Intelligence ◽  
Thematic Analysis ◽  
Hospitality Industry ◽  
Descriptive Analysis ◽  
Recruitment Strategies ◽  
Human Intervention ◽  
Job Descriptions ◽  
Job Advertisements ◽  
Routine Tasks ◽  
Hospitality Sector

Artificial Intelligence (AI) is not a new concept for Hospitality Industry and Recruitment functions. AI has displaced the human intervention in routine tasks. In few years, AI will take over several jobs (Kubler, 2018). Recently AI technologies support application screening, data analysis, and preliminary interviews, saving time of recruiters. Chatbots are now designated recruitment officers supporting candidates. Researchers have studied the influence of AI on Recruitment, but only a few focused on the AI displacing human in the recruitment function performed in UAE’s hospitality industry. This research aims to understand the transformation in the recruitment function of UAE’s hospitality industry due to AI intervention. Using concurrent mixed-methods, data was collected by interviewing 10 UAE HR leaders and surveying 135 HR professionals. The inductive-deductive thematic analysis was conducted for subjective measures and descriptive analysis was performed for scaled measures. This study found that UAE’s hospitality sector deployed AI technologies in recruitment areas such as job advertisements, collecting applications, maintaining profiles, and storing the applications. The routine, repetitive, and heavy-volume tasks in the recruitment are delegated to AI while strategic roles are retained for human professionals including development of strategies, and creation of job descriptions and specifications. While the literature review suggested a wider application of AI in recruitment function, UAE’s hospitality sector seems to be lagging. The recommendations will benefit industry leaders, HR professionals, recruitment consultants, and AI developers to rethink on the recruitment strategies, operations, and administration and to embrace the intervention of AI in recruiting the best talent proficiently.

scholarly journals Measuring Cultural Diversity Impact in Hospitality Industry Leadership: Managerial Communication Perspective from Five Star Hotels in Kathmandu Valley, Nepal

2021 ◽  
Vol 4 (1) ◽  
pp. 75-88
Author(s):  
Udaya Raj Paudel ◽  
Sudip Puri ◽  
Seeprata Parajuli ◽  
Niranjan Devkota ◽  
Udbodh Bhandari
Keyword(s):  
Cultural Diversity ◽  
Hospitality Industry ◽  
Descriptive Analysis ◽  
Power Distance ◽  
Effective Communication ◽  
Kathmandu Valley ◽  
Managerial Communication ◽  
Industry Leadership ◽  
Hospitality Sector ◽  
Structured Questionnaire

This study aims to measure the cultural diversity impacts in hospitality industry leadership from the perspective of managerial communication. Data were obtained from all the 10 five star hotels in Kathmandu valley. 167 respondents were sampled from the managers of five star hotels in Kathmandu valley, Nepal using structured questionnaire. Data analysis is made using descriptive analysis and Leadership Practices Index measured through dimension suggested by GLOBE Model. The study found out that maximum majority (48.48%) employees were the residents of Bagmati Province itself. For effective functioning of any organization workplace communication plays crucial role. Though numerous challenges are faced by employees working in hospitality industries in terms of communication 96% of respondents believed that managerial communication problem could be overcome if better tactics were used. Upon responding the importance of communication in workplace 54.76% employees stated that effective communication would help managers to set goals and targets for attaining objective of the hotel or their department followed by its importance at the time of serving guests and working in team while coordinating. Likewise, 41.07% feels that effective communication makes employees feel secure and helps to achieve targets. Also, 40.48% feel easy to work in team with the help of effective communication. 19.05% thinks through effective communication exchanging necessary ideas become easier. Communication leadership scale suggested by GLOBE model shows the maximum number of leaders are performance oriented i.e., 83.03% whereas assertiveness, Power Distance and in-group collectivism are the least but still above the 50%, which shows the leader still maintain power distance, least in-group collectivism. Hence, based on the findings of the study, the study concluded that managerial communication skills impact in hospitality business for its growth and maximization. This original study is crucial for hotels, government agencies and prospective employees of hospitality sector of Nepal and worldwide at large.

Monitoring performance indicators in the Portuguese hospitality sector

2019 ◽  
Vol 31 (2) ◽  
pp. 790-811 ◽  
Author(s):  
Maria Luísa Ribeiro ◽  
Maria Luísa Vasconcelos ◽  
Fátima Rocha
Keyword(s):  
Performance Evaluation ◽  
Balanced Scorecard ◽  
Performance Indicators ◽  
Hospitality Industry ◽  
Descriptive Analysis ◽  
Management Tool ◽  
Content Type ◽  
The Balanced Scorecard ◽  
Doctoral Research ◽  
Hospitality Sector

PurposeThis article aims to analyze performance evaluation in the Portuguese hospitality sector. It assesses the frequency with which performance indicators are monitored, the relevance assigned to them and how the two are related. It further evaluates whether performance evaluation practices in the Portuguese hospitality sector are based on the balanced scorecard (BSC) philosophy.Design/methodology/approachThe study builds upon a doctoral research addressing the hospitality sector in Portugal. Theoretically, it resorts to a literature review on performance indicators and the Portuguese hospitality sector. Empirically, it looks at a sample of four- and five-star hotels operating in Portugal in 2012. A questionnaire addressing the four perspectives of BSC was applied, and a descriptive analysis was developed.FindingsPerformance indicators cover the four perspectives of BSC in a balanced way, which confirms its relevance as a strategic management tool. However, there is no coincidence between the performance indicators most frequently monitored and those considered to be most relevant.Practical implicationsThe study reviews/identifies performance indicators suitable for the hospitality sector and highlights ways to improve their use in the Portuguese hospitality sector.Social implicationsRedirecting the use of performance indicators to long-term objectives will benefit the financial results of the hospitality industry, with positive impacts on employment. This is particularly relevant as the hospitality industry is an activity strongly characterized by seasonality.Originality/valueThis is a descriptive study related to the use of indicators in the Portuguese hotel sector, to this date inexistent/innovative. It highlights the need for changes in the choice of performance indicators in the Portuguese hospitality sector and offers suggestions for future performance evaluation frameworks.

scholarly journals EMBEDDING ARTIFICIAL INTELLIGENCE IN HOSPITALITY & TOURISM

2021 ◽  
Vol 58 (2) ◽  
pp. 5384-5389
Author(s):  
Dr.Sameer Koranne, Sukhmani Sandhu
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Empirical Study ◽  
Digital Technology ◽  
Hospitality Industry ◽  
Descriptive Analysis ◽  
Competitive Environment ◽  
Huge Amount ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality

Competitive environment and being global trade; the tourism and hospitality industry adopted digital technology a long back and many functions have been digitalized. The travelling guest leaves digital foot prints across various components of tourism and thus a huge amount of data is generated. The customer satisfaction has been an integral part of this industry and providing appropriate service solutions is vital for excelling. Artificial Intelligence is utilized for exploring and analyzing guest data and compliments decision making. The effective existence of AI across various tourism and hospitality functions is investigated through empirical study and validated through descriptive analysis.  

scholarly journals Does higher education properly prepare graduates for the growing artificial intelligence market? Gaps identification using text mining

2021 ◽  
pp. 1-13
Author(s):  
Lamiae Benhayoun ◽  
Daniel Lang
Keyword(s):  
Artificial Intelligence ◽  
Natural Language Processing ◽  
Text Mining ◽  
Natural Language ◽  
Language Processing ◽  
Academic Training ◽  
Market Requirements ◽  
Job Advertisements ◽  
The Individual

BACKGROUND: The renewed advent of Artificial Intelligence (AI) is inducing profound changes in the classic categories of technology professions and is creating the need for new specific skills. OBJECTIVE: Identify the gaps in terms of skills between academic training on AI in French engineering and Business Schools, and the requirements of the labour market. METHOD: Extraction of AI training contents from the schools’ websites and scraping of a job advertisements’ website. Then, analysis based on a text mining approach with a Python code for Natural Language Processing. RESULTS: Categorization of occupations related to AI. Characterization of three classes of skills for the AI market: Technical, Soft and Interdisciplinary. Skills’ gaps concern some professional certifications and the mastery of specific tools, research abilities, and awareness of ethical and regulatory dimensions of AI. CONCLUSIONS: A deep analysis using algorithms for Natural Language Processing. Results that provide a better understanding of the AI capability components at the individual and the organizational levels. A study that can help shape educational programs to respond to the AI market requirements.

Seeking “skilled, poised, fluent” verbal communicators: Aesthetic labor and signaling in journalism job advertisements

2021 ◽  
Vol 42 (1) ◽  
pp. 12-28
Author(s):  
Elia Powers
Keyword(s):  
Communication Skills ◽  
Thematic Analysis ◽  
Verbal Communication ◽  
Barriers To Entry ◽  
Speech Anxiety ◽  
Interactional Expertise ◽  
Verbal Skills ◽  
Aesthetic Labor ◽  
Job Advertisements ◽  
The Ideal

Journalism job advertisements send important signals about valued skills and attributes. How such advertisements articulate journalistic expertise, including interactional expertise, has been studied, but signals about verbal communication usually have been overlooked. Little is known about how journalism employers define the most valued communication skills and the ideal journalistic voice. This signaling theory study explores expectations advertisements convey for how journalists should sound through a thematic analysis of U.S. journalism job listings (n = 510) specifying substantial verbal communication. Requirements for exceptional verbal skills and explicit calls for vocal clarity raise barriers to entry for journalists with speech disabilities or speech anxiety.

scholarly journals Artificial intelligence and the future of psychiatry: Qualitative findings from a global physician survey

2020 ◽  
Vol 6 ◽  
pp. 205520762096835
Author(s):  
C Blease ◽  
C Locher ◽  
M Leon-Carlyle ◽  
M Doraiswamy
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Medical Profession ◽  
Descriptive Analysis ◽  
Psychiatric Practice ◽  
Limited Attention ◽  
Written Responses ◽  
Future Technology ◽  
Qualitative Descriptive ◽  
The Impact

Background The potential for machine learning to disrupt the medical profession is the subject of ongoing debate within biomedical informatics. Objective This study aimed to explore psychiatrists’ opinions about the potential impact innovations in artificial intelligence and machine learning on psychiatric practice Methods In Spring 2019, we conducted a web-based survey of 791 psychiatrists from 22 countries worldwide. The survey measured opinions about the likelihood future technology would fully replace physicians in performing ten key psychiatric tasks. This study involved qualitative descriptive analysis of written responses (“comments”) to three open-ended questions in the survey. Results Comments were classified into four major categories in relation to the impact of future technology on: (1) patient-psychiatrist interactions; (2) the quality of patient medical care; (3) the profession of psychiatry; and (4) health systems. Overwhelmingly, psychiatrists were skeptical that technology could replace human empathy. Many predicted that ‘man and machine’ would increasingly collaborate in undertaking clinical decisions, with mixed opinions about the benefits and harms of such an arrangement. Participants were optimistic that technology might improve efficiencies and access to care, and reduce costs. Ethical and regulatory considerations received limited attention. Conclusions This study presents timely information on psychiatrists’ views about the scope of artificial intelligence and machine learning on psychiatric practice. Psychiatrists expressed divergent views about the value and impact of future technology with worrying omissions about practice guidelines, and ethical and regulatory issues.

scholarly journals Government by Algorithm: Artificial Intelligence in Federal Administrative Agencies, a Case of USA

2021 ◽  
Vol 5 (1) ◽  
pp. 1-15
Author(s):  
Rubina Shaheen ◽  
Mir Kasi
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Thematic Analysis ◽  
Image Data ◽  
Workplace Health ◽  
Current Trends ◽  
Safety And Health ◽  
Administrative Agencies ◽  
Conventional Machine ◽  
The Government

The report gives a presents use of artificial intelligence in few administrative agencies. In-depth thematic analysis of some institution, have been conducted to review the current trends. In thematic analysis, 12 institutions have been selected and described the details of the institutions using artificial intelligence in different departments. These analyses yielded five major findings. First, the government has a wide application of Artificial Intelligence toolkit traversing the federal administrative and state. Almost half of the federal agencies evaluated (45%) has used AI and associated machine learning (ML) tools. Also, AI tools are already enhancing agency strategies in  the full span of governance responsibilities, such as keeping regulatory assignments bordering on market efficiency, safety in workplace, health care, and protection of the environmental, protecting the privileges and benefits of the government ranging from intellectual properties to disability, accessing, verifying and analyzing all risks to public  safety and health, Extracting essential data from the data stream of government including complaints by consumer and the communicating with citizens on their rights, welfare, asylum seeking and business ownership. AI toolkit owned by government span the complete scope of Artificial Intelligence techniques, ranging from conventional machine learning to deep learning including natural language and image data. Irrespective of huge acceptance of AI, much still has to be done in this area by the government. Recommendations also discussed at the end.

scholarly journals Religiosity and Customer Experience: a Study of the Nigerian Hospitality Industry

2020 ◽  
pp. 1723-1735
Author(s):  
Powel Maxwell Worimegbe
Keyword(s):  
Religious Orientation ◽  
Hospitality Industry ◽  
Religious Affiliation ◽  
Practical Implication ◽  
Customer Experience ◽  
Sem Analysis ◽  
Religious Groups ◽  
Goods And Services ◽  
Significant Difference ◽  
Hospitality Sector

The effect of religiosity on customer experience has engendered a lot of debate in the existing literature. This study examines the effect of religiosity on customer experience among the three major religious groups in the hospitality sector in Nigeria. The study is premised on the dimensions of religiosity, which are religious knowledge, orientation, commitment and affiliation. Employing the survey research design, 544 customers in the hospitality industry who cut across the three main religions in Nigeria were sampled. The study employed the PLS-SEM tool in the analysis of data. The PLS-SEM analysis shows that religiosity (t-value=134.668) is a significant determinant of customer experience in the hospitality sector. The findings further reveal that there is no significant difference in customer experience among the three main ethnic groups in Nigeria. Practical Implication: It is inferred from the study that firms should pay attention to religiosity in order to give the customers an exciting experience. More attention should be paid to the customers’ religious orientation and knowledge. The role and significance of religion as relating to religious, affiliation, commitment, orientation and knowledge of the customers should not be ignored by firms in the provision of goods and services which will bring about better service encounter

scholarly journals Artificial Intelligence and Intellectual Property Law

2018 ◽  
Vol 7 (1) ◽  
pp. 83-98
Author(s):  
Swapnil Tripathi ◽  
Chandni Ghatak
Keyword(s):  
Artificial Intelligence ◽  
Intellectual Property ◽  
Property Rights ◽  
Intellectual Property Rights ◽  
Criminal Liability ◽  
Property Law ◽  
Human Intervention ◽  
Intellectual Property Law ◽  
Insight Into ◽  
Artificial Intelligence Systems

Artificial intelligence systems have been gaining widespread momentum in today’s progressing tech-savvy world. With sophisticated technologies being incorporated in the same, it is only a matter of time these systems start to produce marvelous inventions without human intervention of any kind. This brings forth pertinent questions concerning Intellectual Property Rights, (IPR) for, it challenges not only traditional notions of concepts such as patents and copyrights, but also leads to the emergence of questions related to the regulation of such creations amidst others. This paper seeks to provide insight into the expanding scope of IPR laws and artificial intelligence, along with the inevitable challenges it brings from a worldwide lens on the matter. It also attempts to provide suggestions transcending IPR, and seeks to address questions concerning criminal liability for the content created by such technologies.

scholarly journals The Legal Aspects of Artificial Intelligence based on the EU Experience

Law and World ◽  
2021 ◽  
Vol 7 (5) ◽  
pp. 8-13
Keyword(s):  
Artificial Intelligence ◽  
Legal Framework ◽  
Legal Aspects ◽  
Public And Private ◽  
Legal Questions ◽  
Technological Advances ◽  
Clear Vision ◽  
Routine Tasks ◽  
The One ◽  
The Eu

In the digital era, technological advances have brought innovative opportunities. Artificial intelligence is a real instrument to provide automatic routine tasks in different fields (healthcare, education, the justice system, foreign and security policies, etc.). AI is evolving very fast. More precisely, robots as re-programmable multi-purpose devices designed for the handling of materials and tools for the processing of parts or specialized devices utilizing varying programmed movements to complete a variety of tasks.1 Regardless of opportunities, artificial intelligence may pose some risks and challenges for us. Because of the nature of AI ethical and legal questions can be pondered especially in terms of protecting human rights. The power of artificial intelligence means using it more effectively in the process of analyzing big data than a human being. On the one hand, it causes loss of traditional jobs and, on the other hand, it promotes the creation of digital equivalents of workers with automatic routine task capabilities. “Artificial intelligence must serve people, and therefore artificial intelligence must always comply with people’s rights,” said Ursula von der Leyen, President of the European Commission.2 The EU has a clear vision of the development of the legal framework for AI. In the light of the above, the article aims to explore the legal aspects of artificial intelligence based on the European experience. Furthermore, it is essential in the context of Georgia’s European integration. Analyzing legal approaches of the EU will promote an approximation of the Georgian legislation to the EU standards in this field. Also, it will facilitate to define AI’s role in the effective digital transformation of public and private sectors in Georgia.

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