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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.16 No.2
- 발행연도
- 2017.6
- 수록면
- 205 - 214 (10page)
- DOI
- 10.7232/iems.2017.16.2.205
이용수
초록· 키워드
오류제보하기
Difficulties of developing strategy for improving impulsive buying (IB), major purchase transaction in supermarkets, had been general case. There is research gap on examining and assessing efficiency of decision variables from supermarkets’ point of view, since most IB studies were still focusing on perception and psychological variables of customer’s point of view. This article is focusing on fundamental exploration of display, one of supermarket’s decision variables, and on development of assessment model to improve IB transaction. IB improvement will enhance supermarket’s competitive advantage.
Mathematical model is delivered by logistic regression, which then becomes an assessment model. The model was developed by interviewing 110 respondents and observing 55 product group displays in Check-Out Counter (COC) of five supermarkets in Indonesia. The model developed indicates that IB occurred because of the proper arrangement of display profile: space width (SW), product mix complexity inside a group product (COM), and height of level from eye level (LVL). IB responses for the same display profile maybe vary depends on the consumer’s queuing time (TM). As managerial implication, this research is suggesting to provide product mix which will expand its space width, to display product closer to eye level, and to maintain proper length of queuing.
Mathematical model is delivered by logistic regression, which then becomes an assessment model. The model was developed by interviewing 110 respondents and observing 55 product group displays in Check-Out Counter (COC) of five supermarkets in Indonesia. The model developed indicates that IB occurred because of the proper arrangement of display profile: space width (SW), product mix complexity inside a group product (COM), and height of level from eye level (LVL). IB responses for the same display profile maybe vary depends on the consumer’s queuing time (TM). As managerial implication, this research is suggesting to provide product mix which will expand its space width, to display product closer to eye level, and to maintain proper length of queuing.
목차
ABSTRACT
1. INTRODUCTION
2. CONCEPT MODEL FRAMEWORK AND VARIABLES
3. PROPOSED METHODS
4. DISCUSSIONS AND MANAGERIAL IMPLICATIONS
5. CONCLUSIONS
REFERENCES
참고문헌 (37)
참고문헌 신청
Ahmad, T. (2011), The impulse buying behavior of consumer for the FMCG products in jodhpur, Australian Journal of Basic & Applied Sciences, 5(11), 1704-1710.
Allison, P. D. (2016), Measures of Fit for Logistics Regression, cited 2016, May 15, Available from: https://support.sas.com/resources/papers/proceedin gs14/1485-2014.pdf.
Amos, C., Holmes, G. R., and Keneson, W. C. (2014), Ameta analysis of consumer impulse buying, Journal of Retailing and Consumer Services, 21(2), 86-97.
Ariely, D. (2012), Predictably Irrational: The Hidden Forces That Shape Our Decision, Harper Colins, New York, USA.
Beatty, S. M. and Ferrel, M. E. (1998), Impulse buying: Modeling its precursors, Journal of Retailing, 74(2), 169-191.
Beatty, S. M. and Ferrel, M. E. (1998), Impulse buying: Modeling its precursors, Journal of Retailing, 74(2), 169-191.
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