The basic objective of this article is to understand the perceived applicant's experience regarding procedural justice. This study was conducted in the public sector organizations of the State of the Azad Jammu and Kashmir. Data was collected from those applications which had applied for any post in the public service commission jobs. Further, the sample was divided into two categories, one those who were selected and the other who could not make it through. A research questionnaire ranging from strongly agree to strongly disagree on the likert scale was used, which was personally administered. The data were analyzed by using SPSS version 22, where it was found that the overall pattern of results indicates that both of the categories of applicants showed dissatisfaction with the procedural justice and feedback mechanism of the existing selection procedures.
The purpose of this study is to determine the role of anchoring bias in the economic and financial information. An experiment involving the business students is carried out by providing them information about recent economic and financial anchors about stock market, index returns, inflation and exchange rates in groups where one groups is exposed to some relevant anchors. In the first group, which is the “control group” the participants were given no relevant information and were asked to give their best estimate for all the respective indicators. In the second group the “anchoring group” participants were asked the same questions but are provided indicator anchors to deduce their anchoring estimates, for instance the current value of KSE-100 index is provided, and the respondents were asked to predict the current value of KSE-30 index. The results show that there is significant degree of anchoring bias for each of the questions and it is higher for males as compare to females. Similarly, the respondents when exposed to relevant anchors show significant anchoring bias than for irrelevant anchors. Keywords: Anchoring Bias, Relevant Anchoring, Irrelevant Anchoring, Perceived Relevance, Financial Indicators.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.