Visitor motivations and use of Information communication technology at a coastal destination: the case of limbe – Cameroon

Figures & data

Table 1. General profile of respondents at the beachfront.

Demographic characteristic	Category description	Frequency (N)	Percentage
Gender	Female	131	52%
	Male	119	48%
Age (in years)	18–20	88	35%
	21–30	71	28%
	31–40	48	19%
	41–50	37	15%
	50+	6	3%
Visitor origin	Southwest Region	200	80%
	Northwest Region	4	2%
	Litoral region	34	13%
	Central Region	12	5%
Principal source of ICT access	Personal computer	46	18%
	Cyber cafe	112	45%
	Mobile phone	92	37%

Table 2. Results of the KMO and Bartlett’s Test.

Kaiser-Meyer-Olkin Measure of Sampling Adequacy.		.741
Bartlett’s Test of Sphericity	Approx. Chi-Square	1279.234
	df	105
	Sig.	.000

Table 3. Results of the factor analysis on motivations for spending time at the beach.

My main motivation for visiting the beach today is to …	Component
	Factor 1: Quest for novelty	Factor 2: Foster relationships	Factor 3: Rest and rejuvenate	Factor 4: Personal development
Have fun	.612
Spend time with friends	.833
Meet new people with similar interests	.874
Enjoy natural surroundings of the ocean	.371
Spend time with someone special		.457
Spend time with Family		.746
Enjoy some entertainment		.538
Spend quality time with Children		.709
To relax			.474
Break away from daily pressure			.333
Rest			.667
Enjoy the Ocean view			.351
Break away from work				.532
Do Something new				.362
Check out new business opportunities				.565
Cronbach alpha	.676	.603	.561	.455
Mean	3.16	3.22	3.49	2.77

Table 4. Results of the independent samples T-test.

Gender My motivation for being by the beach today is to …	Female (n = 107)		Male (n = 140)		t	Sig. (2-tailed)	Effect sizes
	Mean	Std Dev	Mean	Std Dev
Factor 1: Quest for novelty	2.68	1.4	3.4	1.16	−2.9	0.19	−0.9
Factor 2: Quality relationships	3.24	1.38	3.20	1.32	1.8	0.14	0.02
Factor 3: Rest and rejuvenate	3.52	1.17	3.46	1.11	0.6	0.20	0.01
Factor 4: Personal development	2.62	0.97	2.94	1.13	−2.04	0.13	−0.2
Total	12.06	1.23	13	1.18	0.8	0.2	−1.07

Table 5. Results of the analysis of variance based on age groups.

Age group (in years) Key motivating factors	≤R20		21–30		31–40		41–50		50+
	Mean	Std dev	Mean	Std dev	Mean	Std dev	Mean	Std Dev	Mean	Std dev	P Value	Effect size
Quest for novelty	2.71	1.28	3.38	1.21	3.23	1.29	3.68	1.30	3.42	1.00	0.009	0.09
Quality relationships	3.17	1.36	3.24	1.18	3.39	1.40	3.15	1.52	2.79	1.21	0.06	0.04
Rest and rejuvenate	3.34	1.12	3.63	1.04	3.51	1.19	3.65	1.18	3.04	1.25	0.13	0.06
Personal development	2.56	1.14	3.01	1.22	2.87	1.28	2.86	1.09	1.83	1.10	0.002	0.09
Total											0.05

Table 6. ICT use for tourism purposes among respondents.

The prevalence of ICT in respondent leisure practice	N	Mean	Std. Deviation
	Statistic	Statistic	Statistic
Making the decision on place to visit	250	3.12	1.129
Get information about travel destination	250	3.20	1.183
What to take along	250	2.48	1.268
Planning the travel route	250	2.08	1.087
Inviting friends	250	1.96	1.115
Choice of accommodation	250	2.32	1.252
Check out security at the destination	250	3.13	1.463
Place to eat	250	2.66	1.436
Taking photos	250	3.47	1.287
Sharing photos	250	3.44	1.067
Checking cleanliness of the beach	250	2.67	1.089
Find out if it is safe at the beach	250	2.84	1.204
Places of entertainment	250	2.50	1.197
Potential health risk	250	2.16	1.126

Source: Author, 2020.