Artificial Intelligence in HRM: An Experimental Study of an Expert System

1996 ◽  
Vol 22 (1) ◽  
pp. 85-111 ◽  
Author(s):  
John J. Lawler ◽  
Robin Elliot
Keyword(s):  
Expert System ◽  
Evaluation System ◽  
Decision Aid ◽  
Performance Outcomes ◽  
Behavioral Decision Theory ◽  
Job Evaluation ◽  
Managerial Decision ◽  
Behavioral Decision ◽  
Theoretical Support ◽  
The Impact

This study investigates the impact of an expert system used as a decision aid in a job evaluation system. Both performance outcomes and psychological outcomes are analyzed in an experiment in which the intended users of the expert system served as subjects. The study draws largely from behavioral decision theory for its theoretical support. Although this study examines an expert system within an HRM context, the results are useful as one test of expert system efficacy within the more general area of managerial decision making.

scholarly journals The Impact of Evaluation Use on Accounting Programs' Performance: An Exploratory Study

2016 ◽  
Vol 20 (6) ◽  
pp. 733-752 ◽  
Author(s):  
Sheizi Calheira de Freitas
Keyword(s):  
Higher Education ◽  
Evaluation System ◽  
Target Population ◽  
Education Evaluation ◽  
Evaluation Use ◽  
Web Based ◽  
Evaluation Report ◽  
Brazilian Government ◽  
Theoretical Support ◽  
The Impact

Abstract The Brazilian program of higher education evaluation, broadly known as the National Exam of Students' Performance (ENADE), represents a governmental effort to gather information on undergraduate educational quality. As a product of that evaluation, reports are made available to each program evaluated. Our present research addresses the impact of ENADE evaluation report utilization on multiple higher education accounting programs' performance in their subsequent evaluation. Based upon theoretical support from literature about evaluation use, a web-based survey was developed and provided across the country to the coordinators of accounting programs. From a response rate of 62% of the study target population and using multiple regressions, we found that there was a positive correlation between usage of the ENADE evaluation report and the performance of undergraduate accounting programs in their subsequent evaluation. Based upon the reviewed literature and, in accordance with these research results, it is possible to infer that the use of evaluation reports derived from the higher education evaluation system promoted by the Brazilian government can influence the decisions of educational institutions and promote improvement.

Giving Community College Students Choice: The Impact of Self-Placement in Math Courses

2019 ◽  
Vol 57 (3) ◽  
pp. 1358-1391 ◽  
Author(s):  
Holly Kosiewicz ◽  
Federick Ngo
Keyword(s):  
Community College ◽  
Hispanic Students ◽  
Self Determination Theory ◽  
Male Students ◽  
Developmental Math ◽  
Behavioral Decision Theory ◽  
Behavioral Decision ◽  
Areas Of Concern ◽  
Placement Policies ◽  
The Impact

This study examines the impact of a “natural experiment” that gave students the choice to place into or out of developmental math because of an unintended mistake made by a community college. During self-placement, more students chose to enroll in gateway college- and transfer-level math courses, however, greater proportions of female, Black, and Hispanic students enrolled in the lowest levels of math relative to test-placed counterparts. Difference-in-difference estimates show that self-placement led to positive outcomes, but mostly for White, Asian, and male students. This evidence suggests areas of concern and potential for improvement for self-placement policies. Self-determination theory, behavioral decision theory, and stereotype vulnerability provide possible explanations for the observed changes.

Decision Aids for Generating Analytical Review Alternatives: The Impact of Goal Framing and Audit-Risk Level

2002 ◽  
Vol 14 (1) ◽  
pp. 157-177 ◽  
Author(s):  
Jennifer M. Mueller ◽  
John C. Anderson
Keyword(s):  
High Risk ◽  
Cognitive Load ◽  
Information Search ◽  
Decision Aid ◽  
Decision Aids ◽  
Risk Level ◽  
Audit Risk ◽  
Goal Framing ◽  
Analytical Review ◽  
The Impact

An auditor generating potential explanations for an unusual variance in analytical review may utilize a decision aid, which provides many explanations. However, circumstances of budgetary constraints and limited cognitive load deter an auditor from using a lengthy list of explanations in an information search. A two-way between-subjects design was created to investigate the effects of two complementary approaches to trimming down the lengthy list on the number of remaining explanations carried forward into an information search. These two approaches, which represent the same goal (reducing the list) but framed differently, are found to result in a significantly different number of remaining explanations, in both low- and high-risk audit environments. The results of the study suggest that the extent to which an auditor narrows the lengthy list of explanations is important to the implementation of decision aids in analytical review.

scholarly journals Influence of Whey Protein Micro-Gel Particles and Whey Protein Micro-Gel Particles-Xanthan Gum Complexes on the Stability of O/W Emulsions

Polymers ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 2301
Author(s):  
Man Zhang ◽  
Bin Liang ◽  
Hongjun He ◽  
Changjian Ji ◽  
Tingting Cui ◽  
...  
Keyword(s):  
Oxidative Stability ◽  
Whey Protein ◽  
High Speed ◽  
Xanthan Gum ◽  
Physical Stability ◽  
Theoretical Support ◽  
Gel Particles ◽  
Oil In Water ◽  
The Stability ◽  
The Impact

Appropriate pretreatment of proteins and addition of xanthan gum (XG) has the potential to improve the stability of oil-in-water (O/W) emulsions. However, the factors that regulate the enhancement and the mechanism are still not clear, which restricts the realization of improving the emulsion stability by directional design of its structure. Therefore, the effects of whey protein micro-gel particles (WPMPs) and WPMPs-XG complexes on the stability of O/W emulsion were investigated in this article to provide theoretical support. WPMPs with different structures were prepared by pretreatment (controlled high-speed shear treatment of heat-set WPC gels) at pH 3.5–8.5. The impact of initial WPC structure and XG addition on Turbiscan Indexes, mean droplet size and the peroxide values of O/W emulsions was investigated. The results indicate that WPMPs and XG can respectively inhibit droplet coalescence and gravitational separation to improve the physical stability of WPC-stabilized O/W emulsions. The pretreatment significantly enhanced the oxidative stability of WPC-stabilized O/W emulsions. The addition of XG did not necessarily enhance the oxidative stability of O/W emulsions. Whether the oxidative stability of the O/W emulsion with XG is increased or decreased depends on the interface structure of the protein-XG complex. This study has significant implications for the development of novel structures containing lipid phases that are susceptible to oxidation.

scholarly journals Putting the world back to work: An expert system using big data and artificial intelligence in combating the spread of COVID-19 and similar contagious diseases

Work ◽  
2020 ◽  
Vol 67 (3) ◽  
pp. 557-572
Author(s):  
Said Tkatek ◽  
Amine Belmzoukia ◽  
Said Nafai ◽  
Jaafar Abouchabaka ◽  
Youssef Ibnou-ratib
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Expert System ◽  
Population Monitoring ◽  
High Definition ◽  
Contagious Diseases ◽  
The World ◽  
General Guide ◽  
The Impact ◽  
Back To Work

BACKGROUND: To combat COVID-19, curb the pandemic, and manage containment, governments around the world are turning to data collection and population monitoring for analysis and prediction. The massive data generated through the use of big data and artificial intelligence can play an important role in addressing this unprecedented global health and economic crisis. OBJECTIVES: The objective of this work is to develop an expert system that combines several solutions to combat COVID-19. The main solution is based on a new developed software called General Guide (GG) application. This expert system allows us to explore, monitor, forecast, and optimize the data collected in order to take an efficient decision to ensure the safety of citizens, forecast, and slow down the spread’s rate of COVID-19. It will also facilitate countries’ interventions and optimize resources. Moreover, other solutions can be integrated into this expert system, such as the automatic vehicle and passenger sanitizing system equipped with a thermal and smart High Definition (HD) cameras and multi-purpose drones which offer many services. All of these solutions will facilitate lifting COVID-19 restrictions and minimize the impact of this pandemic. METHODS: The methods used in this expert system will assist in designing and analyzing the model based on big data and artificial intelligence (machine learning). This can enhance countries’ abilities and tools in monitoring, combating, and predicting the spread of COVID-19. RESULTS: The results obtained by this prediction process and the use of the above mentioned solutions will help monitor, predict, generate indicators, and make operational decisions to stop the spread of COVID-19. CONCLUSIONS: This developed expert system can assist in stopping the spread of COVID-19 globally and putting the world back to work.

scholarly journals Accreditation and Certification: Do They Improve Hospital Financial and Quality Performance?

Healthcare ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 887
Author(s):  
Matthew Brooks ◽  
Brad M. Beauvais ◽  
Clemens Scott Kruse ◽  
Lawrence Fulton ◽  
Michael Mileski ◽  
...  
Keyword(s):  
Higher Education ◽  
Positive Impact ◽  
Performance Outcomes ◽  
Healthcare Management ◽  
Academic Program ◽  
Future Research ◽  
Graduate Degree ◽  
Healthcare Administration ◽  
Professional Certification ◽  
The Impact

The relationship between healthcare organizational accreditation and their leaders’ professional certification in healthcare management is of specific interest to institutions of higher education and individuals in the healthcare management field. Since academic program accreditation is one piece of evidence of high-quality education, and since professional certification is an attestation to the knowledge, skills, and abilities of those who are certified, we expect alumni who graduated from accredited programs and obtained professional certification to have a positive impact on the organizations that they lead, compared with alumni who did not graduate from accredited programs and who did not obtain professional certification. The authors’ analysis examined the impact of hiring graduates from higher education programs that held external accreditation from the Commission on Accreditation of Healthcare Management Education (CAHME). Graduates’ affiliation with the American College of Healthcare Executives (ACHE) professional healthcare leadership organization was also assessed as an independent variable. Study outcomes focused on these graduates’ respective healthcare organization’s performance measures (cost, quality, and access) to assess the researchers’ inquiry into the perceived value of a CAHME-accredited graduate degree in healthcare administration and a professional ACHE affiliation. The results from this study found no effect of CAHME accreditation or ACHE affiliation on healthcare organization performance outcomes. The study findings support the need for future research surrounding healthcare administration professional graduate degree program characteristics and leader development affiliations, as perceived by various industry stakeholders.

The Impact of Transparency and Decision Risk on Human–Automation Teaming Outcomes

2021 ◽  
pp. 001872082110334
Author(s):  
Shayne Loft ◽  
Adella Bhaskara ◽  
Brittany A. Lock ◽  
Michael Skinner ◽  
James Brooks ◽  
...  
Keyword(s):  
Decision Aid ◽  
Financial Incentive ◽  
Decision Aids ◽  
Rejection Rate ◽  
Decision Time ◽  
Correct Rejection ◽  
Incentive Scheme ◽  
Operator Behavior ◽  
The Impact ◽  
Financial Penalty

Objective Examine the effects of decision risk and automation transparency on the accuracy and timeliness of operator decisions, automation verification rates, and subjective workload. Background Decision aids typically benefit performance, but can provide incorrect advice due to contextual factors, creating the potential for automation disuse or misuse. Decision aids can reduce an operator’s manual problem evaluation, and it can also be strategic for operators to minimize verifying automated advice in order to manage workload. Method Participants assigned the optimal unmanned vehicle to complete missions. A decision aid provided advice but was not always reliable. Two levels of decision aid transparency were manipulated between participants. The risk associated with each decision was manipulated using a financial incentive scheme. Participants could use a calculator to verify automated advice; however, this resulted in a financial penalty. Results For high- compared with low-risk decisions, participants were more likely to reject incorrect automated advice and were more likely to verify automation and reported higher workload. Increased transparency did not lead to more accurate decisions and did not impact workload but decreased automation verification and eliminated the increased decision time associated with high decision risk. Conclusion Increased automation transparency was beneficial in that it decreased automation verification and decreased decision time. The increased workload and automation verification for high-risk missions is not necessarily problematic given the improved automation correct rejection rate. Application The findings have potential application to the design of interfaces to improve human–automation teaming, and for anticipating the impact of decision risk on operator behavior.

scholarly journals Does Job Embeddedness Mediate the Effect of Resilience on Cabin Attendants’ Career Satisfaction and Creative Performance?

2021 ◽  
Vol 13 (9) ◽  
pp. 5104
Author(s):  
Aram Eslamlou ◽  
Osman M. Karatepe ◽  
Mehmet Mithat Uner
Keyword(s):  
Structural Equation ◽  
Career Satisfaction ◽  
Job Embeddedness ◽  
Performance Outcomes ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Future Research ◽  
Conservation Of Resources ◽  
Creative Performance ◽  
The Impact

An increasing body of research suggests job embeddedness (JE) as a motivational variable influencing employees’ attitudinal and behavioral outcomes such as quitting intentions and task performance. Personal resources have been reported to affect JE and these outcomes. However, little work has investigated the antecedents and consequences of JE among cabin attendants. There is also a dearth of empirical research regarding the mechanism linking resilience to cabin attendants’ affective and performance outcomes. Therefore, drawing on conservation of resources and JE theories, we propose a conceptual model that examines the interrelationships of resilience, JE, career satisfaction (CSAT), and creative performance (CPERF). Moreover, the model explores JE as a mediator of the impact of resilience on CSAT and CPERF. These linkages were tested via data collected from cabin attendants and their pursers. The findings from structural equation modeling reveal that resilience boosts cabin attendants’ JE, CSAT, and CPERF. As predicted, JE is a mediator between resilience and CSAT. Our paper culminates with implications for theory and practice as well as future research directions.

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