Front-end Analysis of Employee Performance: A Human Performance Technology Study

2018-09-03
Caner, Sonay
Yıldırım, Zahide
Show full item record
370
views
0
downloads
HPT is a field of study which aims to improve performance in individual performer level, organizational level, and societal level. It is defined as “the study and ethical practice of improving productivity in organizations by designing and developing effective interventions that are results-oriented, comprehensive and systemic” (Pershing, 2006, p.6). Each word in the definition emphasize not only importance of Human Performance Technology (HPT) but also its aim. Study word include systematic and disciplined inquiry for asking questions and searching for answers in an orderly manner. Therefore, study is a key element for understanding and improving practice of HPT, in detail, it is critical to select, design, develop, and test interventions. Ethical practice means pursuing confidentiality, competence, and collaboration and trustworthiness among partners by using performance technology strategies and standards in research and practice. HPT aims to improve quality and value of the product by modifying inputs and processes. It does focus not only on workers but also leaders/managers to design and develop effective interventions. Effective interventions mean doing the right action based on organizational goal and doing it with minimum inputs. HPT intervention results must be tangible and measurable, influence organization positively, and create value for all stakeholders by solving the problem comprehensively (Pershing, 2006).
https://eera-ecer.de/ecer-programmes/conference/23/contribution/45226/
https://hdl.handle.net/11511/79383
Department of Computer Education and Instructional Technology, Software

Suggestions

Predictors of Organizational Socialization of Instructors in Higher Education
Ataman, Fatma; Kondakçı, Yaşar (2016-04-01)
This study aims to investigate the relationship between organizational socialization and various organizational (type of university, training, work conditions, knowledge sharing) and individual (academic degree, teaching experience, length of employment at current work place, job satisfaction, commitment, self-efficacy) level factors, both factors taken together focusing on the content, context and process dimensions of socialization. For this aim, data from 737 public and private university English languag...
Binary Classification Using Neural and Clinical Features: An Application in Fibromyalgia With Likelihood-Based Decision Level Fusion
Gökçay, Didem; EKEN, AYKUT; Baltaci, Serdar (2019-07-01)
Among several features used for clinical binary classification, behavioral performance, questionnaire scores, test results, and physical exam reports can be counted. Attempts to include neuroimaging findings to support clinical diagnosis are scarce due to difficulties in collecting such data, as well as problems in integration of neuroimaging findings with other features. The binary classification method proposed here aims to merge small samples from multiple sites so that a large cohort, which better descr...
An Emprical examination for collaborative nature of business process modeling
Fındık Coşkunçay, Duygu; Çakır, Murat Perit; Department of Information Systems (2016)
In this study, factors that contribute to interaction quality of collaborative group members in a computer-supported collaborative business process modeling context were investigated with qualitative and quantitative methods. Initially, interaction quality factors were identified based on a review of related theoretical frameworks and qualitative analysis of log files from a dual eye-tracking experiment. A rating scheme was then developed to assess the quality of group interactions. A research model, that r...
Measuring striving for understanding and learning value of geometry: a validity study
Ubuz, Behiye (Informa UK Limited, 2017-01-01)
The current study aimed to construct a questionnaire that measures students' personality traits related to striving for understanding and learning value of geometry and then examine its psychometric properties. Through the use of multiple methods on two independent samples of 402 and 521 middle school students, two studies were performed to address this issue to provide support for its validity. In Study 1, exploratory factor analysis indicated the two-factor model. In Study 2, confirmatory factor analysis ...
Post operative prognostic prediction of esophageal cancer cases using bayesian networks and support vector machines
Bagherzadi, Negin; Acar, Aybar Can; Department of Health Informatics (2014)
The objective of this thesis is to develop and analyze the performances of a number of classifiers in prognosis classification based on a medical history data set. Generally, data mining uses algorithms originating in different disciplines such as artificial intelligence, statistics, optimization, database theory etc., to clarify available data. In this study, Support Vector Machine and Bayesian Network methods have been used. The data analyzed are clinical pathology records of patients with esophageal canc...
Citation Formats
METU IIS - Integrated Information Service open@metu.edu.tr