Decision-making participation eulogizes probability of behavioral output; job satisfaction, and employee performance (evidence from professionals having low and high levels of perceived organizational support)

Abstract

Purpose The purpose of this paper is to test social exchange in the presence of perception about organizational support theory. Design/methodology/approach Data have been collected through a questionnaire survey at a primary level and were analyzed primarily by smartPLS. Findings Results show that all relationships among study variables are highly responsive to the perception about organizational support. Nonmonetary rewards create reciprocity of employee performance (EP), but their magnitudes get affected where practioners need to pay specific attention on employee perception about organizational discretionary arrangements. Research limitations/implications The sample size for this study was taken only 10 percent from the top ten banking organizations and these organizations were selected from three big cities only including two provincial capitals. Purposive/judgmental sampling technique is being used for the data collection purpose. As moving out from these cities earning opportunities, langue and behaviors are different; so, the results cannot be generalized to the entire country and other industries. Practical implications All managers who are intended and assigned for the increase in overall firms’ performances can achieve their targets and goals by focusing on decision-making participation (DMP) through job satisfaction. Further to this, in order to increase the strength of exchange relationship where firms can introduce DMP to increase employees’ performance, perception about organizational support (if it is to be focused) to its workers well-being can yield and induce employees to perform more. Originality/value This study ensures researchers not to forget to check the impact of perceived organizational support during a discussion on social exchange and more specifically nonmonetary part of the exchange. This study suggests the way to increase employee outcomes is by focusing on the employee perception about the organizational care about them and involving them in DMP which does not involve any monetary benefits and ultimately managers and organizations can concentrate on these points to have the overall increase in EP, while keeping themselves in limited or available budgets/resources.

Organizational Health: the Role of Technology Disruption and Competency Adequacy in Jordanian Constrcution Sector

“…A formal permission from the company officials was obtained by the researcher to conduct the study and compliance with all the ethical requirements was strictly followed.The participants were assured that the data they submitted will be confidential before getting consent. The respondents were also provided with the option not to disclose the personal details like name etc..Using SmartPLS 3.2 software, collected data was analysed through structural equation modeling.PLS SEM technique using SmartPLS software has been utilized by many previous studies in management (21,22,(31)(32)(33)(23)(24)(25)(26)(27)(28)(29)(30) and engineering domains. It involves two steps, in the first step called measurement model evaluation the validity and reliability of the variables is tested and in the second stepcalled structural modeling evaluation, the significance of the path coefficients is checked.…”

Entrepreneurial Intention: Does Entrepreneurial Education Matter in Pakistan?

“…This study used structural equation modeling technique to test the hypothesis. The Partial Least Squares technique is a powerful component-based method widely used in prior studies (Farrukh, Khan, et al, 2017;Farrukh, Chong, Mansori, & Ravan Ramzani, 2017;Farrukh, Wei Ying, & Abdallah Ahmed, 2016;Farrukh, Ying, & Mansori, 2016Riaz, Farrukh, Rehman, & Ishaque, 2016;Shahzad, Farrukh, Kanwal, & Sakib, 2018). martPLS version 3 was used to run SEM.…”

Impact of Entrepreneurial Orientation of Bank Performance in Pakistan

“…In particular, the PLS-SEM method was employed to analyze the collected data. The Partial Least Squares technique is a powerful component-based method widely used in prior studies (Farrukh, Khan, et al, 2017;Farrukh, Chong, Mansori, & Ravan Ramzani, 2017;Farrukh, Wei Ying, & Abdallah Ahmed, 2016;Farrukh, Ying, & Mansori, 2016Riaz, Farrukh, Rehman, & Ishaque, 2016;Shahzad, Farrukh, Kanwal, & Sakib, 2018).PLS SEM is a two-step process in the first step measurement/ outer model is evaluated for validity and reliability while in the second step path coefficients are tested for significance.…”