scholarly journals Employee Participation in Decision-making (PDM) and Firm Performance

2016 ◽  
Vol 9 (7) ◽  
pp. 64 ◽  
Author(s):  
Abdulrahman Alsughayir
Keyword(s):  
Decision Making ◽  
Firm Performance ◽  
Service Industry ◽  
Manufacturing Sector ◽  
Employee Participation ◽  
Likert Scale ◽  
Performance Variables ◽  
Participation In Decision Making ◽  
And Performance ◽  
Sector Data

<p>The objective of this study is to examine the influence of employee participation in decision-making on firm performance in Saudi Arabia’s manufacturing sector. Data were collected through pre-validated, piloted questionnaires, which were e-mailed to 341 manufacturing firms. The questionnaires asked about employee involvement in decision-making and performance variables. The response rate was 63.4 percent. Dimensions of PDM were rendered into 20 statements in the form of a five-point Likert scale. The scale, ranging from no involvement to substantial involvement, measured the degree of PDM. Additionally we used a five-point Likert scale to determine the extent of the firms’ performance in terms of the 10 criteria. The scores of the 10 items were summed and averaged to establish the mean index of the firms’ performance. An index of less than 4.0 was regarded as low firm performance; an index of 4.0 and above was considered to represent high firm performance. Statistical tools were used in analysis. Through product–moment correlation, we examined whether a relationship existed between employee participation in decision-making and firm performance. Regression analysis provided the extent of variation in the dependent variable and Z-test (approximated by the independent samples t-test). Findings showed a significant positive relationship exists between PDM and firm performance, suggesting that PDM is an essential component influencing firm performance. The higher the level of employee participation in decision-making, the higher the level of firm performance.Future studies involving the service industry would shed light on PDM in industries besides manufacturing.</p>

scholarly journals Employee Participation in Decision Making in RMG sector of Bangladesh: Correlation with Motivation and Performance

1970 ◽  
Vol 5 (2) ◽  
pp. 122-132 ◽  
Author(s):  
Md Anowar Hossain Bhuiyan
Keyword(s):  
Decision Making ◽  
Significant Positive Correlation ◽  
Labor Union ◽  
Employee Participation ◽  
Present Situation ◽  
Organizational Goal ◽  
Participation Motivation ◽  
Increase In Productivity ◽  
Participation In Decision Making ◽  
And Performance

Participation in decision making in industry results in satisfaction of employees and an increase in productivity and profit. It empowers the employer to achieve the organizational goal. This study was conducted to assess the present situation, nature and types of workers participation and motivation system in Ready Made Garments (RMG) sector of Bangladesh. The study identifies the causes of poor participation of the employees in decision making and correlate between employee participation, motivation and performance. The study revealed that there is a significant positive correlation between decision making, motivation and performance. The study also identified five major causes of poor participation in decision making, such as, absence of willingness of the management, absence of labor union activities, lack of workforce diversity, illiteracy of the workers and political grouping among the workers.DOI: http://dx.doi.org/10.3329/jbt.v5i2.9984Journal of Technology (Dhaka) Vol. 5(2), July-December, 2010 122-132

Simulation of human judgement in a robot-based adjustment system

Robotica ◽  
1984 ◽  
Vol 2 (4) ◽  
pp. 209-214 ◽  
Author(s):  
Fazel Naghdy ◽  
John Billingsley ◽  
David Harrison
Keyword(s):  
Decision Making ◽  
Quality Control ◽  
Automatic System ◽  
Computer Modelling ◽  
Performance Variables ◽  
Adjustment Procedure ◽  
And Performance ◽  
Adjustment System

SUMMARYA robot-based automatic system for adjusting energy regulators in electric cookers is described in this paper. It is claimed that this system improves the quality of the regulators and increases productivity. First, the operator's intuitive judgement and decision-making are simulated on a microcomputer; the structure and performance variables of the regulator are then described. A discussion of computer modelling of the regulator then follows, leading to the development of an algorithm for the adjustment procedure and overall strategy of the system. Experiments on 2,000 regulators showed that this automated operation was superior to the manual procedure as regards consistency and accuracy. This technique based on a robot may be applied to quality control and manufacture of a variety of similar products.

PARTICIPATION IN DECISION MAKING ONE MORE TIME: A LOOK AT HOSPITAL DECISION MAKING AND PERFORMANCE.

2010 ◽  
Vol 2010 (1) ◽  
pp. 1-6 ◽  
Author(s):  
JOSHUA L. RAY ◽  
DONDE ASHMOS PLOWMAN ◽  
DENNIS DUCHON ◽  
REUBEN R. MCDANIEL
Keyword(s):  
Decision Making ◽  
Participation In Decision Making ◽  
And Performance

scholarly journals Does Employees’ Participation in Decision Making Increase the level of Corporate Social and Environmental Sustainability? An Investigation in South Asia

2019 ◽  
Vol 11 (2) ◽  
pp. 511 ◽  
Author(s):  
Omer Farooq ◽  
Mariam Farooq ◽  
Emmanuelle Reynaud
Keyword(s):  
Decision Making ◽  
Social Identity Theory ◽  
Environmental Sustainability ◽  
Organizational Identification ◽  
Employee Participation ◽  
Legal Framework ◽  
Process Data ◽  
Participation In Decision Making ◽  
The Impact

Although previous studies have explored the role of legal framework, industry norms, innovation, and the use of clean technologies to achieve sustainability, they have paid little attention to the role of employees in increasing a firm’s sustainability performance. This article develops a model based on social identity theory and proposes that employees whose organizational identification is rooted in the sustainability of the firm can influence the sustainability strategy of the firm through the participation process. Data were obtained from 421 employees of large fast-moving consumer goods manufacturers. The findings demonstrate that employee participation has a strong positive effect on all the components of sustainability (environmental and societal). Moreover, the findings show that the impact of employee participation on the components of sustainability is moderated by organizational identification in such a way that if employees have a strong sense of identification with their organization, their participation in decision making has a greater impact on the sustainability of their organization.

scholarly journals BUSINESS INTELLIGENCE SYSTEMS SUPPORTING SUSTAINABILITY ON FIRM’S DECISION-MAKING PROCESSES AND PERFORMANCE

2021 ◽  
Vol 8 (1) ◽  
pp. 64-75
Author(s):  
Nathaniel Ozigbo ◽  
Keyword(s):  
Decision Making ◽  
Firm Performance ◽  
Business Intelligence ◽  
Business Environment ◽  
Partial Least Square ◽  
Theory And Practice ◽  
Business Intelligence Systems ◽  
Decision Making Processes ◽  
And Performance ◽  
The Impact

In today’s competitive business environment, there exist the need to investigate the adequacy of infrastructural flexibility for Business Intelligence Systems to support Sustainability on Firm’s Decision-making processes and performance. The Business Intelligence Systems consist of unique functions that are intrinsic aimed at supporting better quality decision-making within the organization. It is critical to the smooth operations of every organization. The intention of this study is not to discuss the technical details of implementing Business Intelligence Systems but to explore how to gain maximum benefits from the applications and usage of Business Intelligence Systems. An intensive literature review that highlighted the impact of Business Intelligence on firm performance and decision-making processes were initiated. The focus was on how to apply the Business Intelligence Systems to gain competitive advantage and to create more value from information by aligning it with the needs of employees who are engaged in complex business decision-making in today’s business environment. The study contributed in both academic and industrial operations by providing first time evidence of Business Intelligence solutions with particular reference to Nigerian firms located in Lagos State, Nigeria. The study employed the partial least square analysis with a sample size of 985 respondents randomly selected from five manufacturing companies. The findings suggested that the more effective use of Business Intelligence implementation, the more effective the decision-making processes and firm performance. The study offers a number of implications for theory and practice, noting that Business Intelligence System is in effect allowing firms to shift their structure to more carefully and thoughtfully align with the needs of customers and partners.

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