Personality and impulsive buying behaviors. A necessary condition analysis

Figures & data

Table 2. Descriptive statistics of the variable scores.

	Scale Minimum	Empirical Minimum	Scale Maximum	Empirical Maximum	Mean	SD	1	2	3	4	5	6
Neuroticism	1	1.43	7	4.43	3.07	0.55	(0.81)
Conscientiousness	1	1.40	7	4.40	3.16	0.50	0.25	(0.82)
Agreeableness	1	1.57	7	4.43	3.06	0.44	0.18	0.21	(0.81)
Extraversion	1	1.29	7	4.57	2.90	0.50	0.26	0.18	0.14	(0.84)
openness	1	1.57	7	4.57	3.30	0.49	0.18	0.17	0.29	0.15	(0.82)
Impulsive Buying	1	2.26	7	4.47	3.23	0.38	0.20	0.17	0.17	0.15	0.30	(0.81)

All Correlations significant at 0.01 level (2-tailed).

Values in () are Cronbach α value for each variable.

Figure 1. (A to E) scatterplot for IBBs versus personality traits.

Table 3. Results of necessary condition analyses.

Construct	Method	Accuracy	Ceiling Zone	Scope	Effect size (d)	Condition Inefficiency	Outcome Inefficiency
Neuroticism	CE − FDH	100	0.756	7	0.114	52.33%	71.49%
	CR − FDH	99.5	0.64	7	0.097	34.78%	70.39%
Conscientiousness	CE − FDH	100	1.786	7	0.269	33.33%	0.000%
	CR − FDH	98.6	1.492	7	0.225	44.73%	18.54%
Agreeableness	CE − FDH	100	1.316	6	0.208	34.96%	38.46%
	CR − FDH	99.2	1.117	6	0.177	37.03%	43.84%
Extraversion	CE − FDH	100	1.344	7	0.185	34.75%	38.46%
	CR − FDH	99.1	1.132	7	0.156	42.92%	45.28%
Openness	CE − FDH	100	1.813	7	0.273	28.66%	16.74%
	CR − FDH	99.5	1.603	7	0.242	32.29%	28.58%

Table 4. Bottleneck Levels (in%) using CR − FDH (NN = not necessary).

Impulsive Buying	Neuroticism NC from 70.39%	Conscientiousness NC from 18.54%	Agreeableness NC from 43.84%	Extraversion NC from 45.28%	Openness NC from 28.58%
0	NN	NN	NN	NN	NN
10	NN	NN	NN	NN	NN
20	NN	1	NN	NN	NN
30	NN	7.8	NN	NN	1.3
40	NN	14.6	NN	NN	10.8
50	NN	21.3	6.9	4.9	20.3
60	NN	28.1	18.1	15.3	29.8
70	NN	34.9	29.3	25.8	39.3
80	21.2	41.7	40.5	36.2	48.7
90	43.2	48.5	51.8	46.6	58.2
100	65.2	55.3	63	57.1	67.7

Notes:

––– The percentages listed refer to the percentage of the condition’s range between the lowest and highest observed values in the dataset.

––– The dotted line indicates the boundaries between the three innovation ranges identified based on the distribution of the empirical innovation data.

Table 1. Descriptive characteristics of the sample.

	N	%
Gender
Female	274	42.8%
Male	366	57.2%
Age
20-30	611	95.5%
30-40	23	3.6%
40-50	3	0.5%
50 and Above	3	0.5%
Education
Undergraduate	142	22.2%
Postgraduate	498	77.8%