Skip to content
Free planNo credit card requiredStart writing

article · 2014

Use of Intuition in Decision Making Among Managers in Banking and Industrial Sectors of Karachi

Khailda Rauf

Cited by 3Abstract and details only

Abstract

The study aims to explore the decision making processes of managers, working in banking and industrial sector in Karachi. Grounded theory research design is chosen to discover the ways in which managers choose to rely on intuition in decision making process. The proposed method consists of structured interview. The participants were theoretically selected, consists of 306 managers, aged 25 to 60 years (M = 47.89, SD = 17.58), 152 managers from banks and 154 from utility sector. All the responses were coded, then percentages of each response were calculated. Information generated through responses suggests that the use of intuition among managers is caused by uncertain situation and they develop work groups to make effective decisions in face of critical situation. It is hoped that outcomes of this study will allow us to develop better decision making strategies for the training of future managers.

Cite this paper

APA 7

Rauf, K. (2014). Use of Intuition in Decision Making Among Managers in Banking and Industrial Sectors of Karachi.

MLA 9

Rauf, Khailda. “Use of Intuition in Decision Making Among Managers in Banking and Industrial Sectors of Karachi.” vol. 29, no. 1, 2014, pp. 79–102.

Chicago

Rauf, Khailda. 2014. “Use of Intuition in Decision Making Among Managers in Banking and Industrial Sectors of Karachi.”

Harvard

Rauf, K. (2014) ‘Use of Intuition in Decision Making Among Managers in Banking and Industrial Sectors of Karachi’.

BibTeX
@article{rauf2014intuition,
  title = {{Use of Intuition in Decision Making Among Managers in Banking and Industrial Sectors of Karachi}},
  author = {Rauf, Khailda},
  volume = {29},
  number = {1},
  pages = {79--102},
  year = {2014}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.