scholarly journals Challenges in Recruitment and Selection Process: An Empirical Study

Challenges ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 35 ◽  
Author(s):  
Sophia Diana Rozario ◽  
Sitalakshmi Venkatraman ◽  
Adil Abbas
Keyword(s):  
Empirical Study ◽  
Knowledge Economy ◽  
Employee Retention ◽  
Selection Process ◽  
Employee Selection ◽  
Critical Factors ◽  
Recruitment And Selection ◽  
The Right ◽  
Interview Panel ◽  
Critical Aspects

Today’s knowledge economy very much depends on the value created by the human resource of an organisation. In such a highly competitive environment, organisations have started to pay much attention to the recruitment and selection process, as employees form their main asset. However, the critical factors involved in the employee selection process is not well studied. Previous studies on the recruitment and selection process have been performed mainly to study the performance of the employees and the criteria attracting the right talent leading to employee retention and organizational efficiency. The distinction of this paper is that it studies the existing recruitment and selection process adopted by tertiary and dual education sectors in both urban and regional areas within Australia. The purpose of this research is to conduct an empirical study to identify the critical aspects of the employee selection process that can influence the decision based on different perspectives of the participants such as, hiring members, successful applicants as well as unsuccessful applicants. Various factors such as feedback provision, interview panel participation and preparations, relevance of interview questions, duration and bias were analysed and their correlations were studied to gain insights in providing suitable recommendations for enhancing the process.

scholarly journals Design of Aerodynamic Ball Levitation Laboratory Plant

Processes ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1950
Author(s):  
Tomáš Tkáčik ◽  
Milan Tkáčik ◽  
Slávka Jadlovská ◽  
Anna Jadlovská
Keyword(s):  
Mathematical Model ◽  
Printed Circuit Board ◽  
Least Squares Method ◽  
Selection Process ◽  
Nonlinear Least Squares ◽  
Circuit Board ◽  
Component Selection ◽  
Physical Plant ◽  
Nonlinear Least Squares Method ◽  
Physical Construction

This paper presents the development of a new Aerodynamic Ball Levitation Laboratory Plant at the Center of Modern Control Techniques and Industrial Informatics (CMCT&II). The entire design process of the plant is described, including the component selection process, the physical construction of the plant, the design of a printed circuit board (PCB) powered by a microcontroller, and the implementation of its firmware. A parametric mathematical model of the laboratory plant is created, whose parameters are then estimated using a nonlinear least-squares method based on acquired experimental data. The Kalman filter and the optimal state-space feedback control are designed based on the obtained mathematical model. The designed controller is then validated using the physical plant.

scholarly journals An Empirical Study of Corpus-Based Response Automation Methods for an E-mail-Based Help-Desk Domain

2009 ◽  
Vol 35 (4) ◽  
pp. 597-635 ◽  
Author(s):  
Yuval Marom ◽  
Ingrid Zukerman
Keyword(s):  
Empirical Study ◽  
Selection Process ◽  
Information Gathering ◽  
Substantial Portion ◽  
Document Summarization ◽  
Help Desk ◽  
Sentence Level ◽  
E Mail ◽  
Document Level

This article presents an investigation of corpus-based methods for the automation of help-desk e-mail responses. Specifically, we investigate this problem along two operational dimensions: (1) information-gathering technique, and (2) granularity of the information. We consider two information-gathering techniques (retrieval and prediction) applied to information represented at two levels of granularity (document-level and sentence-level). Document-level methods correspond to the reuse of an existing response e-mail to address new requests. Sentence-level methods correspond to applying extractive multi-document summarization techniques to collate units of information from more than one e-mail. Evaluation of the performance of the different methods shows that in combination they are able to successfully automate the generation of responses for a substantial portion of e-mail requests in our corpus. We also investigate a meta-selection process that learns to choose one method to address a new inquiry e-mail, thus providing a unified response automation solution.

scholarly journals Franchisor Environmental Liability for Previously Contaminated Property

1997 ◽  
Vol 16 (2) ◽  
pp. 289-297
Author(s):  
Patrick J. Kaufmann ◽  
William S. Vincent
Keyword(s):  
Environmental Policy ◽  
Empirical Study ◽  
Site Selection ◽  
Selection Process ◽  
Environmental Legislation ◽  
Contaminated Land ◽  
Environmental Investigation ◽  
Environmental Liability

Environmental legislation has created potential liability for retailing franchisees that purchase previously contaminated land. Because of the quasi-integrated nature of the franchise relationship, the franchisor also may be drawn indirectly into liability for its franchisee's cleanup costs. The franchisor has two options to reduce its chance of liability. Faced with a decision to distance itself from the site selection process or incur the added costs and potential pricing impacts of greater involvement in the process, franchisors have strong incentives to reduce franchisee support. This reduction in support has detrimental implications for both franchise policy and environmental policy. The authors report the results of an empirical study that links franchisors’ concerns about potential environmental liability to actions to distance themselves from the site selection process or, alternatively, formally to require franchisee environmental investigation of all prospective properties.

scholarly journals A Framework for Component Selection Considering Dark Sides of Artificial Intelligence: A Case Study on Autonomous Vehicle

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 384
Author(s):  
Mohammad Reza Jabbarpour ◽  
Ali Mohammad Saghiri ◽  
Mehdi Sookhak
Keyword(s):  
Artificial Intelligence ◽  
Autonomous Vehicles ◽  
Intelligent Systems ◽  
Selection Process ◽  
Smart Cities ◽  
Autonomous Vehicle ◽  
Component Selection ◽  
Wide Range ◽  
Selection Framework

Nowadays, intelligent systems play an important role in a wide range of applications, including financial ones, smart cities, healthcare, and transportation. Most of the intelligent systems are composed of prefabricated components. Inappropriate composition of components may lead to unsafe, power-consuming, and vulnerable intelligent systems. Although artificial intelligence-based systems can provide various advantages for humanity, they have several dark sides that can affect our lives. Some terms, such as security, trust, privacy, safety, and fairness, relate to the dark sides of artificial intelligence, which may be inherent to the intelligent systems. Existing solutions either focus on solving a specific problem or consider the some other challenge without addressing the fundamental issues of artificial intelligence. In other words, there is no general framework to conduct a component selection process while considering the dark sides in the literature. Hence, in this paper, we proposed a new framework for the component selection of intelligent systems while considering the dark sides of artificial intelligence. This framework consists of four phases, namely, component analyzing, extracting criteria and weighting, formulating the problem as multiple knapsacks, and finding components. To the best of our knowledge, this is the first component selection framework to deal with the dark sides of artificial intelligence. We also developed a case study for the component selection issue in autonomous vehicles to demonstrate the application of the proposed framework. Six components along with four criteria (i.e., energy consumption, security, privacy, and complexity) were analyzed and weighted by experts via analytic hierarchy process (AHP) method. The results clearly show that the appropriate composition of components was selected through the proposed framework for the desired functions.

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