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نتیجه جستجو - Recruiting

تعداد مقالات یافته شده: 13
ردیف عنوان نوع
1 AI-enabled recruiting: What is it and how should a manager use it?
استخدام با هوش مصنوعی: چه چیزیست و یک مدیر چگونه باید از آن استفاده کند؟-2020
AI-enabled recruiting systems have evolved from nice to talk about to necessary to utilize. In this article, we outline the reasons underlying this development. First, as competitive advantages have shifted from tangible to intangible assets, human capital has transitioned from supporting cast to a starring role. Second, as digitalization has redesigned both the business and social landscapes, digital recruiting of human capital has moved from the periphery to center stage. Third, recent and near-future advances in AI-enabled recruiting have improved recruiting efficiency to the point that managers ignore them or procrastinate their utilization at their own peril. In addition to explaining the forces that have pushed AI-enabled recruiting systems from nice to necessary, we outline the key strategic steps managers need to take in order to capture its main benefits.
KEYWORDS : AI-enabled recruiting | Artificial intelligence | Digital recruiting | technology | Human resources
مقاله انگلیسی
2 AI-enabled biometrics in recruiting: Insights from marketers for managers
بیومتریک با استفاده از هوش مصنوعی در جذب نیرو: بینش بازاریابان برای مدیران-2020
Both researchers and practitioners are only in the early stages of examining and understanding the ap- plication of artificial intelligence (AI) in terms of marketing themselves as employers or the open jobs they have. AI has the potential to significantly affect how firms reach, identify, attract, and select human capital. We examine factors that can influence a job candidate’s intent to complete AI-enabled recruiting processes, especially the influence of a firm’s use of biometrics in that process. The results show that (1) social media can increase technology use motivation and AI-enabled recruiting with (2) trendiness as a first stage boundary condition and (3) biometrics as a second stage boundary condition. We contribute to marketing knowledge by identifying that for managers wanting to influence job seekers’ technology use motivation in order to increase their participation in AI-enabled recruiting; they must focus on the indirect effects of trendiness, biometrics, and their social media usage.
Keywords: AI-enabled | Biometrics | Technology use motivation | Trendiness | Recruiting | Social media usage
مقاله انگلیسی
3 The diverse motivations of citizen scientists: Does conservation emphasis grow as volunteer participation progresses?
انگیزه های متنوع دانشمندان شهروند: آیا با پیشرفت مشارکت داوطلبانه ، تأکید بر حفظ رشد می یابد؟-2020
Citizen science has proven to be a valuable tool for biodiversity conservation. However, to maximize the conservation benefits of citizen science programs, researchers and practitioners would gain from a better understanding of project volunteers and what drives them to participate. We examined the diverse motivations of volunteers (n = 3041) participating in Audubons Christmas Bird Count, one of the worlds oldest ecological monitoring citizen (or community) science projects. Principal axis factor analysis along a 16-item scale revealed six distinct intrinsic and extrinsic motivational constructs: science and conservation, outdoor recreation and discovery, commitment and tradition, social interaction, classic birding, and personal accomplishment. Most participants reported multiple motivations, but 40% indicated contribution to science and conservation was their primary reason for initially engaging with the project. As project participation continued, science and conservation-related motives became even more important (with 55% listing as primary continuing motivation). Regression analyses showed motivational orientations varied by socio-demographic attributes and levels/type of project participation. For example, social interaction and tradition were more important to aspiring project leaders than casual observers. Results highlight insights into deepening project engagement and recruiting and retaining citizen scientists. Adapted and applied across different contexts, our instrument and motivational constructs could help to facilitate volunteer management and enhance citizen sciences capacity to advance biodiversity conservation goals.
Keywords: Citizen science | Community science | Conservation outcomes | Motivations | Social interaction | Volunteer management
مقاله انگلیسی
4 Sequence and expression analysis of the cytoplasmic pattern recognition receptor melanoma differentiation-associated gene 5 from the barbel chub Squaliobarbus curriculus
Sequence and expression analysis of the cytoplasmic pattern recognition receptor melanoma differentiation-associated gene 5 from the barbel chub Squaliobarbus curriculus-2019
MDA5 is a cytoplasmic viral double-stranded RNA recognition receptor that plays a pivotal role in the aquatic animal innate immune system. To decipher the role of MDA5 of Squaliobarbus curriculus (ScMDA5) in the immune response, full-length cDNA of ScMDA5 was cloned using the RACE technology, mRNA and protein expression levels of ScMDA5 signalling pathway members in response to stimulation were detected and effects of overexpression of ScMDA5 on the immune response were investigated. ScMDA5 comprises 3597 bp and is composed of an open reading frame (2958 nucleotides long) that translates into a putative peptide of 985 amino acid residues. ScMDA5 possesses two N-terminal caspase-recruiting domains, DEAD-like helicases superfamily, helicase superfamily C-terminal and RIG-I_C-RD domains, and differences in these domains among species were mainly observed with respect to their length and location. ScMDA5 was closely clustered with those of Carassius auratus, Ctenopharyngodon idellus and Mylopharyngodon piceus. ScMDA5 transcripts were most abundant in the spleen and the lowest in the liver. Expression levels of ScMDA5 in healthy tissues were significantly correlated with those of ScIRF3, ScIRF7 and ScIFN. Besides, mRNA expression levels of ScIRF3 were significantly correlated with those of ScIRF7 (0.956, P < 0.01). Expression level changes, including downregulation, upregulation and initial upregulation followed by downregulation, were found in ScMDA5 signalling pathway molecules in tissues after grass carp reovirus infection. Protein levels of ScMDA5 were the highest in the liver and the lowest in the spleen in detected healthy tissues. Overexpression of ScMDA5 led to significantly enhanced CiIRF7 and CiMx transcription in grass carp ovary cells (P < 0.05). The results of this study helped to clarify the role of ScMDA5 in the immune reaction against grass carp reovirus and provided fundamental information for fish breeding to achieve strong resistance to infection.
Keywords: MDA5 | Squaliobarbus curriculus | Grass carp reovirus | Expression level | Overexpression
مقاله انگلیسی
5 A game-predicting expert system using big data and machine learning
یک سیستم خبره پیش بینی بازی با استفاده از داده های بزرگ و یادگیری ماشین-2019
The National Hockey League (NHL) is a major North American sports organization that earns $3.3 bil- lion in annual revenue, and its stakeholders—team management, advertisers, sports analysts, fans, among others—have vested interest in league competitiveness and team performance. Utilizing player and team data collected from various web sources, we propose an expert system to better predict NHL game out- comes as well as improve recruiting and salary decisions. The system combines principal components analysis, nonparametric statistical analysis, a support vector machine (SVM), and an ensemble machine learning algorithm to predict whether a hockey team will win a game. The ensemble methods improve upon the reference SVM classifier, and the ensemble models’ predictive accuracy for the testing set ex- ceeds 90%. The comparison of several ensemble machine learning approaches specifies opportunities to improve the accuracy of game outcome prediction. The system makes it simple for users to employ the learning methodologies and input data sources, evaluate model results, and address the challenges and concerns inherent in predicting hockey game wins.
Keywords: Expert system | Decision-making | Big data | Machine learning | Ice hockey
مقاله انگلیسی
6 A game-predicting expert system using big data and machine learning
یک سیستم خبره پیش بینی بازی با استفاده از داده های بزرگ و یادگیری ماشین-2019
The National Hockey League (NHL) is a major North American sports organization that earns $3.3 bil- lion in annual revenue, and its stakeholders—team management, advertisers, sports analysts, fans, among others—have vested interest in league competitiveness and team performance. Utilizing player and team data collected from various web sources, we propose an expert system to better predict NHL game out- comes as well as improve recruiting and salary decisions. The system combines principal components analysis, nonparametric statistical analysis, a support vector machine (SVM), and an ensemble machine learning algorithm to predict whether a hockey team will win a game. The ensemble methods improve upon the reference SVM classifier, and the ensemble models’ predictive accuracy for the testing set ex- ceeds 90%. The comparison of several ensemble machine learning approaches specifies opportunities to improve the accuracy of game outcome prediction. The system makes it simple for users to employ the learning methodologies and input data sources, evaluate model results, and address the challenges and concerns inherent in predicting hockey game wins.
Keywords: Expert system | Decision-making | Big data | Machine learning | Ice hockey
مقاله انگلیسی
7 A pilot study to explore the effects of substances on cognition, mood, performance, and experience of daily activities
یک مطالعه آزمایشی جهت بررسی تاثیرات مواد روی شناخت، حالت، عملکرد و تجربه فعالیتهای روزانه-2018
Purpose This pilot study was designed to deliberately examine the enhancement effects and experiences of substances used among professionals and students in professional programs. Methods A mixed methods design was implemented, involving ecological momentary assessment (EMA) and interviews. The analysis presents interpretations about the perceived impact of substance use on the performance and experience of everyday activities. Results Caffeine, alcohol, antidepressants, pain suppressant, and cannabis were used by the most participant. Participants reported effects of substances that directly or indirectly enhanced performance (e.g., sleep, socialisation), mood (e.g., manage stress, relax), cognition (e.g., energy and clarity of thought), and the general experience of activities (e.g., enjoyment). Less common effects included impaired work, school, or leisure performance, injury, sleep disruption, and pain or discomfort. Reactivity was an unexpected effect, with almost half of the interviewees reporting changes in their thoughts about their substance use, and 30% of interviewees making active changes. Conclusion This study was novel in population and data collection. Complex perspectives about substance use were offered by recruiting professionals and students outside at-risk populations or addiction-related services. By examining effects of substances, this research offers nuanced understandings of self-reported effects of psychoactive substances on performance, mood, cognition, and quality of experience.
keywords: Substance use |Professionals |Professional students |Performance |Experience |Ecological momentary assessment |Substance effects
مقاله انگلیسی
8 Tour leaders’ job crafting: Scale development
شغل و پیشه رهبران تور: توسعه مقیاس-2018
Job crafting is an emerging construct that has been applied in various disciplines but remains largely unexplored in the tourism industry. The purpose of this study was to develop a scale for measuring tour leaders job crafting. First, focus group interviews and content analysis were conducted to generate the initial items. Second, two surveys involving respective sample sizes of 268 and 253 were conducted. Through a rigorous development process, the 30-item four-dimensional tour leaders job crafting scale was proven to have reliability and validity. This study extends current knowledge of the field of job crafting in the tourism industry and provides a foundation for further investigation of tour leaders’ job crafting and the relationships between the related constructs. The scale provides a useful tool for tour leaders to understand their own job crafting level. Furthermore, the results can serve as a reference for managers in recruiting and training tour leaders.
keywords: Tour leader |Job crafting |Group package tour |Scale development
مقاله انگلیسی
9 Systematic review of social media interventions for smoking cessation
بررسی سیستماتیک از مداخلات رسانه های اجتماعی برای توقف مصرف سیگار-2017
Background: Popular social media could extend the reach of smoking cessation efforts. In this systematic review, our objectives were: 1) to determine whether social media interventions for smoking cessation are feasible, acceptable, and potentially effective; 2) to identify approaches for recruiting subjects; and 3) to examine the specific intervention design components and strategies employed to promote user engagement and retention. Methods: We searched Scopus, Medline, EMBASE, Cochrane Central, PsychINFO, CINAHL, and Web of Science through July 2016 and reference lists of relevant articles. Included studies described social media interventions for smoking cessation and must have reported outcomes related to feasibility, acceptability, usability, or smoking-related outcomes. Results: We identified 7 studies (all were published since 2014) that enrolled 9755 participants (median = 136 [range 40 to 9042]). Studies mainly used Facebook (n = 4) or Twitter (n = 2), and emerged as feasible and acceptable. Five studies reported smoking-related outcomes such as greater abstinence, reduction in relapse, and an increase in quit attempts. Most studies (n = 6) recruited participants using online or Facebook advertise ments. Tailored content, targeted reminders, and moderated discussions were used to promote participant engagement. Three studies found that active participation through posting comments or liking content may be associated with improved outcomes. Retention ranged from 35% to 84% (median = 70%) across the included studies. Conclusions: Our review highlights the feasibility, acceptability and preliminary effectiveness of social media interventions for smoking cessation. Future research should continue to explore approaches for promoting user engagement and retention, and whether sustained engagement translates to clinically meaningful smoking cessation outcomes.
Keywords: Tobacco | Cessation | Smoking | Social networking | Social media | Technology
مقاله انگلیسی
10 Study on Hiring Decision: Analyzing Rejected Applicants by Mining Individual Job Placement Data of Public Employment Security Offices
مطالعه بر روی تصمیم استخدام : تحلیل متقاضیان رد شده توسط کاوش داده های مکانی شغل شخصی دفاتر امنیت عمومی استخدام-2015
Although understanding the evaluation and hiring decisions of employers during employment screening is highly important in the sphere of job hunting, the primary factors behind the decision process remain difficult to comprehend. By using the text mining technique to analyze business data from public employment service offices, this report attempts to identify the primary factors behind hiring decisions when the employing corporation is recruiting mid-career candidates. In concrete terms, we first analyzed the results of the employing corporation’s hiring decisions and the reasons behind them in individual cases of job referral, as understood by employees at public employment service offices. We then proposed a method to identify the primary factors behind the decision process. Furthermore, we used the proposed method to conduct analyses of the results of the decision process and of rejected applicants in an attempt to understand the primary factors behind negative hiring decisions. The results show that while “experience”, “work”, “age” etc. is extracted, by age groups or occupational categories, characteristic terms are different.© 2015 The Authors. Published by Elsevier B.V.Peer-review under responsibility of KES International.© 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Peer-review under responsibility of KES International
Text mining | Factors behind negative hiring decision |Job placement
مقاله انگلیسی
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