| Literature DB >> 29748459 |
Ying-Chih Chang1, Tsu-Ming Yeh2, Fan-Yun Pai3, Tai-Peng Huang4.
Abstract
This study intends to discuss the effects of participants’ involvement, perceived value, and leisure benefits on recommendation intention in the sport of karate. The questionnaires were collected online by karate clubs on Facebook and included 369 valid participants. The research findings show that karate participants from different places of residence do not display significant differences in involvement, perceived value, leisure benefits, and recommendation intention. Furthermore, “attraction” in the involvement category reveals the highest mean, “paid spirit and energy being worthy” in perceived value appears as the highest mean, and “physiological benefits” in leisure benefits shows the highest mean. The Pearson correlation analysis result presents significant strong positive correlations between involvement, perceived value, leisure benefits, and recommendation intention. Finally, multiple regression analysis reveals that leisure benefits, except “physiological benefits”, show notably positive effects on recommendation intention. According to the research results, suggestions are proposed for the reference of karate teaching business managers, participants, and future research.Entities:
Keywords: involvement; leisure benefits; perceived value; recommendation intention
Mesh:
Year: 2018 PMID: 29748459 PMCID: PMC5981992 DOI: 10.3390/ijerph15050953
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Research framework.
Analysis of sample basic data.
| Variable | Category | No. | % | Variable | Category | No. | % |
|---|---|---|---|---|---|---|---|
| Gender | male | 266 | 72.1% | Personal monthly income | Without income | 96 | 26% |
| female | 103 | 27.9% | below 20,000 NTD | 50 | 13.6% | ||
| Age | 15~18 | 30 | 8.1% | 20,001~35,000 NTD | 73 | 19.8% | |
| 19~22 | 72 | 19.5% | 35,001~50,000 NTD | 56 | 15.2% | ||
| 23~30 | 88 | 23.8% | 50,001~70,000 NTD | 43 | 11.7% | ||
| 31~40 | 90 | 24.4% | above 70,001 NTD | 51 | 13.8% | ||
| 41~50 | 55 | 14.9% | Karate participation years | occasional participation | 27 | 7.3% | |
| 51~60 | 21 | 5.7% | within 1 year | 22 | 6% | ||
| above 61 | 13 | 3.5% | 1~3 years | 64 | 17.3% | ||
| Marital status | single | 221 | 59.9% | 4~10 years | 108 | 29.3% | |
| married without child | 20 | 5.4% | 11~20 years | 71 | 19.2% | ||
| married with child | 110 | 29.8% | 21~30 years | 39 | 10.6% | ||
| others | 18 | 4.9% | over 31 years | 38 | 10.3% | ||
| Educational attainment | under junior high schools | 9 | 2.4% | Karate rank | grade 1~3 (brown belt) | 45 | 12.2% |
| senior high schools | 68 | 18.4% | grade 4~9 (red, purple, blue, green, yellow, orange belt respectively) | 35 | 9.5% | ||
| colleges or universities | 214 | 58% | beginning degree (black belt) | 96 | 26% | ||
| higher than graduate schools | 78 | 21.1% | degree 2~3 (black belt) | 125 | 33.9% | ||
| Occupation | students | 116 | 31.4% | degree 4~5 (black belt) | 51 | 13.8% | |
| government employees | 39 | 10.6% | above degree 6 (black belt) | 17 | 4.6% | ||
| service industry | 48 | 13% | Average times of weekly exercise participation in past three months | less than 1 time | 106 | 28.7% | |
| manufacturing industry | 29 | 7.9% | 1~2 times | 108 | 29.3% | ||
| commercial industry | 31 | 8.4% | 3~4 times | 81 | 22% | ||
| housekeepers | 7 | 1.9% | 5~7 times | 25 | 6.8% | ||
| self-employed | 29 | 7.9% | more than 7 times | 49 | 13.3% | ||
| others | 70 | 19% | Other martial art sports participation seniority | without participating | 155 | 42% | |
| Place of residence | north | 155 | 42% | occasional participation | 94 | 25.5% | |
| central | 136 | 36.9% | within 1 year | 27 | 7.3% | ||
| south | 57 | 15.4% | 1~3 years | 36 | 9.8% | ||
| east | 8 | 2.2% | 4~10 years | 31 | 8.4% | ||
| outlying islands | 13 | 3.5% | 11~20 years | 15 | 4.1% | ||
| 21~30 years | 8 | 2.2% | |||||
| more than 31 years | 3 | 0.8% |
Analysis of research variable mean.
| Variable | Dimension | Mean | SD |
|---|---|---|---|
| Involvement | Attraction | 4.497 | 0.556 |
| Lifestyle centrality | 3.642 | 0.817 | |
| Self-performance | 3.889 | 0.778 | |
| Overall involvement | 4.010 | 0.622 | |
| Perceived value | Money | 4.146 | 0.794 |
| Time | 4.371 | 0.684 | |
| Spirit and energy | 4.507 | 0.613 | |
| Overall perceived value | 4.341 | 0.605 | |
| Leisure benefits | Physiological benefits | 4.498 | 0.517 |
| Psychological benefits | 4.468 | 0.591 | |
| Social benefits | 3.887 | 0.742 | |
| Overall leisure benefits | 4.284 | 0.521 | |
| Recommendation intention | Informing advantages | 4.201 | 0.775 |
| Recommending to relatives, friends, and colleagues | 4.098 | 0.848 | |
| Suggesting participation | 4.276 | 0.830 | |
| Sharing knowledge | 4.431 | 0.727 | |
| Overall recommendation intention | 4.251 | 0.682 |
Reliability and validity analysis of questionnaire.
| Dimension | No. of Questions | Cronbach’s α |
|---|---|---|
| Involvement scale | 15 | 0.917 |
| Perceived value scale | 3 | 0.828 |
| Leisure benefits scale | 12 | 0.904 |
| Recommendation intention scale | 4 | 0.878 |
| Total scale | 34 | 0.953 |
Correlation analysis.
| Variables | Involvement | Perceived Value | Leisure Benefits | Recommendation Intention |
|---|---|---|---|---|
| Involvement | 1 | |||
| Perceived value | 0.345 * | 1 | ||
| Leisure benefits | 0.267 ** | 0.338 * | 1 | |
| Recommendation intention | 0.587 ** | 0.549 ** | 0.621** | 1 |
*: p < 0.05, **: p < 0.01.
Multiple regression analysis between subdimensions of involvement and recommendation intention.
| Dependent Variable | Independent Variable |
| VIF |
| Adj. |
|
|---|---|---|---|---|---|---|
| Recommendation intention | Attraction | 0.330 *** | 1.919 | 0.357 | 0.352 | 67.510 *** |
| Lifestyle centrality | 0.247 *** | 2.137 | ||||
| Self-performance | 0.100 * | 1.782 |
*: p < 0.05; ***: p < 0.001.
Regression analysis between perceived value and recommendation intention.
| Dependent Variable | Independent Variable |
|
| Adj. |
|
|---|---|---|---|---|---|
| Recommendation intention | Perceived value | 0.619 *** | 0.302 | 0.300 | 158.668 *** |
***: p < 0.001.
Multiple regression analysis between subdimensions of leisure benefits and recommendation intention.
| Dependent Variable | Independent Variable |
| VIF |
| Adj. |
|
|---|---|---|---|---|---|---|
| Recommendation intention | Physiological benefits | 0.053 | 1.979 | 0.400 | 0.395 | 81.173 *** |
| Psychological benefits | 0.401 *** | 2.259 | ||||
| Social benefits | 0.311 *** | 1.478 |
***: p < 0.001.
Test results of research hypotheses.
| Research Hypothesis | Test Results |
|---|---|
| H1: Karate participants’ involvement positive affects the recommendation intention | Supported |
| H2: Karate participants’ perceived value positive affects the recommendation intention | Supported |
| H3: Karate participants’ leisure benefits positive affects the recommendation intention | Partially supported |