“…Further analysis of the degree of agreement on job satisfaction based on Table 3 and Table 4 show that "Workload" criteria have the highest degree of satisfaction compared to other criteria. This result is in line with findings from other research that the main factor found to contribute to the job satisfaction of academic staff is working with the students [24].…”
<span lang="EN-GB">Fuzzy conjoint method (FCM) is one of the available methods suggested for job satisfaction evaluation. The main feature of job satisfaction evaluation is the use of rating of agreement to indicate employee feelings and beliefs about their job. Currently the linguistic terms used for rating of agreement in FCM are represented in the form of discrete fuzzy sets. This paper investigates the potential use of continuous fuzzy sets to represent linguistic terms used in the FCM process. To investigate the consistency of the decision outcomes produced by the proposed approach, four different types of fuzzy similarity measures were used: similarity based on Matching Function, similarity based on Euclidean Distance, similarity based on Set-Theoretic and similarity based on vector. These classification outcomes are also compared with classification drawn on the basis of statistical inference. The finding of this study shows that both discrete fuzzy sets and continuous fuzzy sets produce consistent results regardless of whether the fuzzy similarity measure was used. Hence, the inclusion of other methods in FCM is particularly very useful for calculating the closeness coefficients and specifically addresses the shortcoming in FCM for job satisfaction evaluation. </span>
“…Further analysis of the degree of agreement on job satisfaction based on Table 3 and Table 4 show that "Workload" criteria have the highest degree of satisfaction compared to other criteria. This result is in line with findings from other research that the main factor found to contribute to the job satisfaction of academic staff is working with the students [24].…”
<span lang="EN-GB">Fuzzy conjoint method (FCM) is one of the available methods suggested for job satisfaction evaluation. The main feature of job satisfaction evaluation is the use of rating of agreement to indicate employee feelings and beliefs about their job. Currently the linguistic terms used for rating of agreement in FCM are represented in the form of discrete fuzzy sets. This paper investigates the potential use of continuous fuzzy sets to represent linguistic terms used in the FCM process. To investigate the consistency of the decision outcomes produced by the proposed approach, four different types of fuzzy similarity measures were used: similarity based on Matching Function, similarity based on Euclidean Distance, similarity based on Set-Theoretic and similarity based on vector. These classification outcomes are also compared with classification drawn on the basis of statistical inference. The finding of this study shows that both discrete fuzzy sets and continuous fuzzy sets produce consistent results regardless of whether the fuzzy similarity measure was used. Hence, the inclusion of other methods in FCM is particularly very useful for calculating the closeness coefficients and specifically addresses the shortcoming in FCM for job satisfaction evaluation. </span>
“…Furthermore, the findings of the study are in line with the study of (Joehnson 1978); Coscarelli, 1983;Drucker, 2003), who emphasized that manager should choose a systematic approach to arrive at one logical solution of selecting a combination of decision-making styles. Vroom (2003) asserted that when managers took important decisions, they should have discussed these decisions with others in the organization being taken as a good sign by the workforce as it was recommended by Amazt and Idris (2011) that academic managers who adopted the autocratic style in order to put things in order and became behavioral decision-makers at the same time when things got aligned. Academic managers may not be too strict and not be too lenient.…”
The study was aimed to find out the effect of decision-making styles of academic managers on faculty commitment in public sector universities of the Punjab province of Pakistan. The sample of the present study was comprised of 186 academic managers and 940 teachers teaching at the university level. Two instruments were used for data collection named as Decision Making Styles Questionnaire (DMSQ) and Faculty Commitment Questionnaire (FCQ). The decision-Making Styles Questionnaire (DMSQ) was developed by the researcher, and the Faculty Commitment Questionnaire (FCQ) was adapted for the study. The data were analyzed by applying the regression analysis technique. The results of the study showed that the decision-making styles of academic managers on the whole, and its all components significantly and positively predicted the outcome variables (faculty commitment). The major implication of the study is to develop a balanced rapport between academic managers and faculty because committed faculty has a high level of enthusiasm to lead the university towards success.
“…The development is the most widely used instrument for measuring decision-making styles (Curseu & Schruijer, 2012). Amazt and Idris (2011) state that the literature shows a positive correlation between participation in decision making and staff productivity. Individual decision making will have an impact on productivity.…”
Section: Decision-making Style and Managerial Performancementioning
confidence: 99%
“…Individual decision making will have an impact on productivity. Others find that the decision-making style affects lecturers' job satisfaction at the University (Amazt and Idris, 2011). While Moghadam, Tehrani, and Amin (2011) argue that emotional intelligence is negatively related to rational style, and dependent style and spontaneous is not related to emotional intelligence.…”
Section: Decision-making Style and Managerial Performancementioning
This study aimed to provide empirical evidence on the relationship between the management accounting system (MAS) and decision-making style on cooperatives' managerial performance in Ponorogo. Data were collected from 119 questionnaires, while 60 questionnaires could be analyzed. Then, SPSS was applied to test non-response bias and descriptive statistics. SmartPLS was used for hypothesis testing. Research findings indicated that MAS did not affect managerial performance, and the decision-making style affected managerial performance.
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