scholarly journals ORGANIZATIONAL FACTORS AFFECTING EMPLOYEE’S MOTIVATION AND PRODUCTIVITY IN BANGLADESHI SATELLITE TELEVISION CHANNELS

2021 ◽  
Vol 4 (3) ◽  
Author(s):  
Md. Al Amin Khan ◽  
Arun Kumar Tarofder ◽  
S. M. Ferdous Azam
Keyword(s):  
Educational Level ◽  
Organizational Factors ◽  
Reward System ◽  
Satellite Television ◽  
Factors Affecting ◽  
Significant Fluctuation ◽  
Employment Tenure

The article illustrates the connection between organizational factors that influence on employee’s motivation and productivity in a given organization satellite TV channel in Bangladesh. The exploration surveys important writing to distinguish the organizational factors that impact representative inspiration and their output also. Be that as it may, the connection between organizational components and employee’s efficiency is yet to be seen thoroughly. The examination investigates view of hierarchical components like reward system, training and jobs security and the representative efficiency. The example is of significant fluctuation as far as gender, educational level, salary and employment tenure. Information investigations were performed utilizing SPSS 23.0, and the outcomes demonstrate that employee inspiration have a significant positively influence on by and large employee profitability in a satellite TV station. JEL: L10; L96; J01 <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0790/a.php" alt="Hit counter" /></p>

Analysis on application level based on ordinal logistic regression and best of advanced manufacturing technologies (AMT) selection based on fuzzy-TOPSIS integration approach

2021 ◽  
pp. 1-11
Author(s):  
Guilian Wang ◽  
Liyan Zhang ◽  
Jing Guo
Keyword(s):  
Logistic Regression ◽  
Organizational Factors ◽  
Fuzzy Topsis ◽  
Ordinal Logistic Regression ◽  
Industrial Robots ◽  
Policy Implications ◽  
Market Pricing ◽  
Factors Affecting ◽  
Pricing Power ◽  
The Core Competence

This paper try to fully reveal the key factors affecting the the level of AMT application in micro- and small enterprises (MSEs) from its organizational factors by ordinal logistic regression. The results show that MSEs have a relatively high level of AMT application as a whole due to the maturity and cost reduction of basic technologies such as artificial intelligence, digital manufacturing and industrial robots. In this paper we propose manufacturing world analysis at Application using Logistic Regression and best AMT selection using Fuzzy-TOPSIS Integration approach.Considering the influence mechanism of each factor, the important factors that affect the application level of AMT are the enterprise’s market pricing power, the main production types, technical, market and management capabilities, organization development incentives and the interaction with external stakeholders. Based on the results above, the following policy implications are proposed: further expanding the customized production in MSEs to gradually improve the market pricing power, expanding the core competence of enterprises, enhancing the employee autonomy, and strengthening the interaction with industry organizations.

Exploring sectoral diversity in the timing of organizational blockchain adoption

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Cigdem Turhan ◽  
Ibrahim Akman
Keyword(s):  
New Technology ◽  
Organizational Factors ◽  
Ease Of Use ◽  
Least Square ◽  
Management Support ◽  
Perceived Ease Of Use ◽  
Organizational Strategies ◽  
Content Type ◽  
Factors Affecting ◽  
Blockchain Technology

PurposeBlockchain is a relatively new technology. Although it has a high potential to influence organizational strategies for adoption into respective operations, it has not been widely explored yet. This study aims to assess the sectoral diversity in the timing of organizational adoption of blockchain through selected organizational factors.Design/methodology/approachA survey was conducted based on a sample of 208 IT professionals. The data was collected using an instrument containing 17 questions. The existence of sector diversity was statistically analyzed using the Least Square Regression method.FindingsThe results indicate that, except for management support and perceived ease of use, all the other factors in the analysis significantly influence sector diversity in terms of blockchain adoption timing.Originality/valueAlthough blockchain has received attention from researchers, to the best of the authors' knowledge, there is no published work in the literature that explores the organizational factors influencing sectoral differences in the timing of blockchain technology adoption. Therefore, our work is unique in the related literature since we present analyses for the diversity between public and private sectors by modeling the factors affecting the intentions for the timing of blockchain adoption as part of the organizations' IT infrastructure.

Implementation uptake: organisational factors affecting evidence-based reform in community corrections in the United States

2017 ◽  
Author(s):  
Danielle S. Rudes ◽  
Kimberly R. Kras ◽  
Kimberly S. Meyer ◽  
Shannon Magnuson
Keyword(s):  
Leadership Development ◽  
Observational Data ◽  
Organizational Factors ◽  
The United States ◽  
Community Corrections ◽  
Policy And Practice ◽  
Factors Affecting ◽  
Organizational Survey ◽  
Strategic Implementation ◽  
Changing Times

As community corrections organizations adapt to changing times, probation/parole agencies work to reform both organizational policy and practice. However, reform is much easier planned than implemented. With little or no formal training on strategic implementation, most community corrections agencies face a complex web of inter- and intra-organizational dynamics and contexts that make implementing reform challenging and sustaining reforms nearly impossible. Using survey and interview/observational data from both adult and juvenile probation in two U.S. states, this chapter examines organizational factors such as culture/climate, cynicism and commitment as key internal issues to consider prior to implementation of reform and during reform uptake. Using dual methods reveals while organizational actors respond similarly on organizational survey response measures, the observational data detail a more nuanced story for understanding implementation. Specifically, findings suggest a need for new training approaches, continued leadership development and improved communication at all organizational levels.

scholarly journals Design, Explanation, and Evaluation of Training Model Structures Based on Learning Organization—In the Cement Industry with a Nominal Production Capacity of Ten Thousand Tons

2016 ◽  
Vol 10 (1) ◽  
pp. 163
Author(s):  
Hamid Rahimian ◽  
Mojtaba Kazemi ◽  
Abbas Abbspour
Keyword(s):  
Organizational Learning ◽  
Learning Organization ◽  
Structural Equation ◽  
Production Capacity ◽  
Organizational Factors ◽  
Training Model ◽  
Equation Model ◽  
Cement Industry ◽  
Individual Factors ◽  
Factors Affecting

This research aims to determine the effectiveness of training based on learning organization in the staff of cement industry with production capacity over ten thousand tons. The purpose of this study is to propose a training model based on learning organization. For this purpose, the factors of organizational learning were introduced by qualitative research in the form of open codes, axial codes, selective codes and the resulted observations, and then the final model was obtained by structural equation model. The data were collected from the staff of three cement companies of Abyek, Tehran, and Sepahan, with a statistical population of 1719 staff of cement industry. The qualitative research sample included 29 experienced experts in the field of cement industry, and the quantitative research sample included 326 staff and experts, who were selected by multi-stage cluster sampling. A self-made questionnaire consisting of 72 questions was used to measure quantitative variables. The reliability of the questionnaire was 0.93 and its content and face validity was determined by expert colleagues and professors, the structural equation model and regression was used to analyze the quantitative data. The results showed that the status of learning organization in cement companies is in average level. Finally, the obtained model consisted of both individual and organizational factors. The individual factors affecting organizational learning include teaching scientific content, perception, trust, and self-efficacy of training. The organizational factors affecting organizational learning include organizational culture, forming the structure, the method of management and leadership, preparing human resource (identity), adaption to the environment, policies, rules, and regulations, and achieving a viable product. The share of individual factors on learning organization is higher than the effect organizational factors; the share of each factor is also determined.

scholarly journals FACTORS AFFECTING THE CHOICE OF HIGHER EDUCATION INSTITUTIONS BY PROSPECTIVE STUDENTS IN LATVIA

2016 ◽  
Vol 4 ◽  
pp. 422-430 ◽  
Author(s):  
Nadezda Rika ◽  
Jana Roze ◽  
Irina Sennikova
Keyword(s):  
Higher Education ◽  
Secondary School ◽  
Stepwise Regression ◽  
Higher Education Institutions ◽  
Organizational Factors ◽  
Spearman Correlation ◽  
Prospective Students ◽  
Social Psychological ◽  
Factors Affecting ◽  
Comprehensive Knowledge

Because of increasing competition among Latvian higher education institutions (HEIs), the administrators of these institutions are becoming increasingly interested in understanding how their potential students choose their institution. Comprehensive knowledge of consumer behavior allows institutions to become more effective at making good strategic marketing decisions and to better respond to customers’ needs. The purpose of this study is to understand what factors affect the decision of secondary school leavers in choosing a particular higher education provider and the variables that might predict a student’s choice. The research is based on data collected by the means of a survey distributed among final year students of Latvian secondary schools, with 644 responses analyzed using Spearman correlation and stepwise regression analysis. Analysis of four major groups of factors: cultural, social, psychological, and organizational, revealed that psychological and organizational factors are the best predictors of the choice of HEI. These explained 48% of the variance of the dependent variable (R2 = 0.48; F (1; 641) = 293.46; p < 0.001). The results provide details of the factors with great importance to young people of Latvia in choosing their higher education provider. The HEI can use these factors for designing various student attraction strategies, and thus increase their market share and competitiveness.

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