ANALYSIS RESULT 1. Methods of Data Collection and Analysis Method

An Examination of the Relationship among Motivation, Satisfaction... � 2903 In tourism business, loyalty to products measured by three different indicators, namely the intention to continue buying the same product, buy more of the same product, and willingness to recommend the product to others Valle, et al. 2006. In the higher competitive conditions of tourism industry, destination marketers are required to attract new tourists, create and maintain tourist loyalty to the brand of a tourist product. Therefore, measuring and analyzing the determining factor of customer loyalty becomes an important part in tourism marketing. Familiarity with the destination, overall satisfaction, socio demographic profiles, and motivation, becomes determinant factor of tourist willingness to make repeat purchases. General Managers use a variable satisfaction as the standard tourist loyalty. However, satisfaction will not create loyalty to the product, without trust Lee and Cunningham, 2001. Placing confidences in satisfaction as the only thing that is most important in building loyalty, many are indisputable. Consumer satisfaction only explains a quarter of loyalty behavioral deviation or repeat purchase Burhan, et al. 2003; and Szymanski and Herand, 2001. Likewise researchers like Mittal and Kamakura 2001; Burham, et al. 2003 suggested understanding the various factors that can build product loyalty, not merely of tourist satisfaction. Product loyalty can be measured by various indicators, among others Assael 1992: 65; Jamaludin, et al. 1992, namely: 1 the extent of the products movement or consumer likes to switch to other products, 2 how long those customers have used these products, 3 whether the product has become a lifestyle, 4 whether customers want to recommend the product to others. While Anastassova 2011; Gallarza and Saura, 2006 states that to be an indicator of loyalty products to destinations can be seen from the characteristic includes three aspects: the cognitive, affective, and behavioral aspects. Lee, et al. 2010 explains there are several indicators in the measurement of product loyalty, namely: 1 the number of visits over five years using the same product, 2 the number of positive recommendations given tourists on others to use or select an existing product, 3 an intention or desire still to make a purchase or visit on products previously purchased, 4 have an emotional attachment that is strong because it has a positive experience on products purchased, 5 have a tolerance for a price adjustment. Based on the above discussion, it can be prepared the conceptual framework of the study. The main variable in this study are intrinsic motivation, extrinsic motivation, and satisfaction, trust, and loyalty products. The relationship of these variables can be seen in picture 2.1: 3. ANALYSIS RESULT 3.1. Methods of Data Collection and Analysis Method The object of this study is foreign tourists who do diving in Bali. Given this very large study population, the researchers restricted their study on Tulamben area, 2904 �

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Nusa Penida and Candidasa. Selection of study sample of 300 people conducted by using a non-probability sampling method. From 300 respondents who were involved in this research, only 250 were considered and included in the analysis, while the remaining 50 were not included, because the responses were incomplete. Whole respondents are foreign tourists who do diving in Bali more than one visit. Research data collection is done by using a questionnaire. The questionnaire contains a number of statements that were developed from the grating instrument. The questionnaire was chosen to collect data because respondents are people who know themselves, the statement by the subjects to researchers is true and trustworthy and interpretation of the subject of the questionstatement filed to the subject is the same as what is meant by the researcher. Preparation of a questionnaire based on the indicators refers to the theory. The indicators used in this study is an indicator reflective. In the reflective models, groups of manifest variables associated with latent variables assumed to measure indicators that manifests construct. Seen as an indicator of the effects of latent variables that can be observed empirically. The hallmark of the variables measured in the reflective scale is togetherness between the measuring indicators common factor Hair, et al., 2010. Prior to the data collection was done, the questionnaire was tested for validity and reliability with 50 respondents who were not included in the data analysis. By using the minimal requirements corrected item-total correlation of 0.30 for validity and Cronbach’s alpha of 0.60 for reliability. The test results showed all items of questions shows valid and reliable in measuring variable research. This research uses a quantitative approach to implement the data analysis, the analytical methods used in analyzing empirical data gathered researchers include 1 analysis of descriptive statistics intended to determine the frequency distribution Picture 2.1: The interrelated variables An Examination of the Relationship among Motivation, Satisfaction... � 2905 of the answers from the questionnaire, 2 statistical analysis of inferential used to test the research hypothesis is Structural Equation Modeling SEM, 3 used Sobel test to test the indirect effect. Before testing the hypotheses, researchers have tested the validity and reliability of data used in the data analysis. Referring to Hair, et al., 2010: 627, an indicator is said to be valid if t e”1,96 and reliable if the construct reliability � 0.50. Based on these requirements, all the indicators or question items declared valid and reliable in measuring the variables. 3.2. The Result of Structural Equation Modeling SEM Analysis The variables in this research include intrinsic motivation variable X1, extrinsic motivation X2, satisfaction X3, and loyalty products Y1. 3.2.1. Measurement Model The following table presents the average yield and loading factor of each indicator in each research variable. Based on Table 4.1, noted that all indicators measured the variables significantly. The analysis also showed that the most powerful indicator as a measure of intrinsic motivation X1 is the relationshipsocial cohesion X1.3. If it is associated with the result of the descriptive analysis, it shows that this indicator is in the category of higherbetter category average 3,772 range in the category of 3,41 to 4,20, although it is not the highest indicator that perceived by the respondents. This shows that tourists will obtain a high intrinsic motivation, primarily due to the high correlationsocial cohesion which is owned by the travelers. Extrinsic motivation X2 variable shows that the most powerful indicator as measurement is, following friend’s activities X2.4. If it is associated with the result of the descriptive analysis, it shows that this indicator is also highest indicator that perceived by respondents and this indicator is in the higherbetter category average 3,900 range in the category of 3,41 to 4,20. This shows that travelers will get extrinsic high motivation, primarily due to high desire to follow the activities of friends, thus supporting high extrinsic motivation for travelers to do diving in Bali. Next, the results of confirmatory factor analysis in Table 4.1 shows that strongest indicators as a measure of satisfaction X3 is that diving activity helps relieve stress X3.4. If it is associated with the result of descriptive analysis, it shows that this indicator is in the higherbetter category average 3,956 range in the category of 3,41 to 4,20, although it is not the highest indicator that perceived by the respondents. This shows that tourists will receive high satisfaction, mainly due to the perception that the high diving activity helps relieve stress. In fact, the activity related to nature, such as diving, is very helpful to relieve stress, thus supporting tourist’s high satisfaction to do diving in Bali. In the belief variable X4, it shows that the third indicator, namely the competence and knowledge of diving in Bali service providers X4.3 has the highest 2906 �

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Table 4.1 The Result of Loading Factor Variable Indicator Mean Loading Sig Intrinsic motivation X1 X1.1 For knowledge 4.108 0.565 0.000 X1.2 To improve the competence 4.052 0.671 0.000 of diving X1.3 To establish a relation or social 3.772 0.679 0.000 cohesion X1.4 For sensation or relaxation 3.528 0.548 Fix Extrinsic Motivation X2 X2.1To improve diving achievement 3.832 0.613 0.000 X2.2 Diving di Bali gets adequate facilities 3.740 0.470 0.000 X2.3 Bali has underwater diversity 3.892 0.632 0.000 X2.4 Following an invitation of a friend 3.900 0.681 Fix Satisfaction X3 X3.1 Diving is a main choice in travelling 4.024 0.508 0.000 X3.2 Experience gained is precisely the 4.064 0.485 0.000 same as expected X3.3 On the whole diving environment 3.868 0.507 0.000 in Bali is as expected X3.4 On the whole the service given is 3.956 0.626 0.000 as expected, X3.5 On the whole th need for diving 4.016 0.413 0.000 is fulfilled X3.5 Overall it is interesting to do diving in Bali 4.020 0.500 Fix Trust X4 X4.1 believe that my provider would 3.908 0.564 0.000 act in my best interest X4.2 I would characterize my current 4.000 0.568 0.000 provider as honest X4.3 In general, my provider is very 3.968 0.659 0.000 knowledgeable about diving and its services X4.4 I general, destination safety 4.028 0.630 Fix for diving Product loyalty Y1 Y1.1 Do not want to switch from 3.500 0.496 Fix diving in Bali. Y1.2 Always choose diving when 3.832 0.734 0.000 travelling in Bali. Y1.3 Diving becomes life style 3.968 0.594 0.000 Y1.4 Would recommend diving 4.140 0.519 0.000 to others Y1.5 Would like to come back to the 3.868 0.571 0.000 destination in 2 years’ time An Examination of the Relationship among Motivation, Satisfaction... � 2907 value of loading factor compared to four other indicators. If it is associated with the result of descriptive analysis, it shows that this indicator is in the higher better category average 3,832 range in the category of 3,41 to 4,20, although it is not the highest indicator that perceived by the respondents. This shows that travelers are considered to have high trust, primarily seen from the competence and diving operators knowledge in Bali. On product loyalty variable Y1, it shows that the second indicator who always choose diving Y1.2 has the highest value of loading factor compared to four other indicators. If it is associated with the result of descriptive analysis, it shows that this indicator is in the higherbetter category average 3,832 range in the category of 3,41 to 4,20, although it is not the highest indicator that perceived by the respondents. This shows that travelers are considered high loyalty, primarily seen from the attitude that always choose diving in the tour. 3.2.2. Structural equation model SEM Assumption Testing Assuming that must be fulfilled prior to SEM analysis, is the assumption of normality, absence of outliers, and linearity. The multivariate normality assumption was tested with the help of software AMOS 6. In univariate normal distribution of data has been dominant since the absolute value of CR compared with the distribution of the critical value Z at ± = 5 ± 2.58 shows the value smaller than the value of Z. In univariate test, there are two indicators which is not normal distributed, those are data X3.2 with X.4.3, with each value of 4.116 and 4.601. However, based on arguments of central limit, if the sample is greater then the statistics will be normally distributed. With a sample size of n = 250, then the data of this research is agreed meet the arguments of central limit, so the assumption of normality of the data is not critical and can be ignored. To test the presence or absence of outliers, can be seen with Mahalanobis Distance Md. Mahalanobis distance is evaluated using a value of 128.565. From Mahalanobis distance to the most far distant observation point is the 175th respondent with a value Md = 87.069. Compared to the value 150.7, the value of 175th Md point is 128 565, so it can be concluded that all points of observation is not an outlier. Linearity assumption testing is done with Curve Fit method. Linearity test results shows all models were significant linear because the Sig value is 0.05, thus concluded that the assumption of linearity has been fulfilled. 3.2.3. Goodness-of-fit measures for the structural equation model The test results of overall goodness of fit models, according to the results of SEM analysis, to determine whether the hypothetical model supported by empirical data, are given in Table 4.2 below: 2908 �

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Table 4.2 Goodness of Fit Testing Results Overall Model Criteria Cut-of value Result Remarks Chi Square Small 347,938 Good Model p-value � 0,05 0,060 Good Model CMINDF � 2,00 1,869 Good Model GFI � 0,90 0,912 Good Model AGFI � 0,90 0,882 Marginal TLI � 0,95 0,950 Good Model CFI � 0,95 0,960 Good Model RMSEA � 0,05 0,059 Good Model Goodness of Fit Overall test result based on picture and table 4.2 shows that 7 of the 8 criteria indicate a good model except AGFI marginal. According to Hair,et al, 2010, the best criteria that is used as a good indication of the model, is the value of Chi Square DF is less than 2, and RMSEA was under 0,08. In this research, the value of CMINDF and RMSEA has fulfilled the cut-off value. Chi square results show Ç2 = 347.938, with a probability value of 0.060 which is above the limit of 0.05. It means that there is no difference between the sample covariance matrix and population covariance matrix, therefore the model is acceptable. An index measuring the suitability of the model GFI, AGFI, TLI, CFI, RMSEA, and CMIN DF are in the expected range of values Hair, et al 2010. Therefore, the SEM models in this research is suitable and feasible to be used, to allow interpretation for further discussion. It also shows that this model could be replicated in similar samples of the same population. 3.2.4. Analysis of Structural Equation Modeling SEM In this structural model, eight 8 hypothesized relationship between the variables direct influence have been tested. This test used the value of standardized estimate regression weight in the form loading factor. If standardized estimate regression weight »i 0,050, with CR t table = 2.00, and the probability ± = 0.05, then the loading factor lambda parameters »i of the indicator is valid. The results showed all variable indicators have standardized estimates regression weight in the form loading factor or lambda »i 0.50, the critical value CR 2,000 and has a probability of less than 0.05 mark means 0.001. Thus, it can be said that all the indicators of the latent variable are valid or significant to reflect latent variables. The results of testing the relationship between the research variables, is fully presented as follows: An Examination of the Relationship among Motivation, Satisfaction... � 2909 Table 4.3 Structural Model SEM Results: Direct Impact Relationship between variables Std coefficient P-value Remarks H1: Intrinsic Motivation X1 � Satisfaction X3 0.341 0.001 Significant H2: Intrinsic Motivation X1 � Product Loyalty Y 0.187 0.022 Significant H3: Extrinsic motivation X2 � Satisfaction X3 0.232 0.001 Significant H4: Extrinsic motivation X2 �Trust X4 0.028 0.679 Non Significant H5: Extrinsic Motivation X2 � Product loyalty Y1 0.357 0.001 Significant H6: Satisfaction X3 � TrustX4 0.471 0.001 Significant H7: Satisfaction X3 � Product Loyalty Y1 0.093 0.169 Non Significant H8: Trust X4 � Product Loyalty Y1 0.304 0.007 Significant Graphically presented as follows the dashed lines denote that the relationship is not significant: Figure 4.1: The Structural Model of SEM Result The calculation results in Table 4.3 and Fig. 4.1, shows that from eight hypotheses constructed in this research, only two were not significant, those are the relationship between satisfaction and loyalty, and extrinsic motivation with trust. This indicates that there is a mediating role in the satisfaction and trust, in the relationship between motivation and loyalty. This shows the significance of direct effect between extrinsic motivation and trust, as well as satisfaction and product loyalty. The influence of regression coefficient from intrinsic motivation X1 and extrinsic motivation X2 to the satisfaction of 0,341 and 0,232 with a significance level of 5 shows the first hypothesis H1 and H3 is proved. The positive mark of coefficient indicates that both relationship are directly proportional. This finding illustrates, that when the tourists have high intrinsic and extrinsic motivation, he 2910 �

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also has a tendency to get high satisfaction. Satisfaction was obtained because of the encouragement from the inside and the outside environment of the individual, to realize the motivation. These finding proves the implementation of the self- determination theory, where satisfaction or pleasure is created from the sincerity with a strong push from within ourselves. It is also consistent with the opinion of Ryan and Deci 1985 that intrinsic motivation is the internalization of a process in obtaining satisfaction. These findings are also consistent and corroborate the findings Yoon and Uysal 2005; Lee 2009; Esichikul, 2012; Schuler, et al. 2010; Gnoth 1997; Vallerand 2010; Correaia, et al. 2009; Crompton, 1979. This research also shows that trust is influenced by traveler satisfaction, while extrinsic motivation is not able to prove the existence of such influence. Coefficient value is 0,471 with 5 significance. This proves that the only satisfaction of antecedent is from trust, so that the hypothesis H6 is proven, while the H4 is not proven. These findings support the theory of marketing relationship Berry, 1995, that customer satisfaction is very important but not sufficient to achieve marketing goals. To create travelers trust, necessarily needed positive experience of the travelers. Besides the above facts, it also shows that external influences, namely destination, was not affecting the tourists trust. Diving becomes specific activities, so that experience is the main consideration in deciding to purchase a product, rather than advertising information or facilities in destinations. Satisfaction with the tourist destinations and facilities which are perceived by return travelers are more satisfying than the first visitors. This finding indicates that the respondents feel the trust when they find satisfaction in the tour. These findings support previous research, which states that satisfaction Yen, et al., 2004; Sanchez-Franco, 2009; Rexha, et al., 2003; Walters, et al., 1999; Kim et al., 2011 and Chiung and Wen 2007 has positive effect on traveler’s trust. In addition, the result of this research indicates that the product loyalty is influenced by intrinsic motivation, extrinsic motivation, and trust with 5 significance. Regression coefficient indicated by 0,.187 intrinsic motivation, 0,57 extrinsic motivation, and 0,304 trust value. In addition to proving the second hypothesis H2, the fifth hypothesis H5 and eighth hypothesis H8, these findings suggest that respondents would be loyal if they have motivation for the visit, and trust. So travelers are loyal to the products, not only because they are satisfied, but rather on the trust that arises and strong motivation from within and from outside tourists. Although satisfaction had no significant effect, but remained a strong predictor in the decisive return visit Sirdesmukh, Singh and Sabol 2002; Lin and Lu 2010. Travelers’ satisfaction can indirectly affect product loyalty, but through trust. This proves that the satisfaction not be the sole determinant of a return visit, but on the motivation of the individual Olsen, Wilcox and Olsson, 2005. This indicates that the loyalty to products are used not solely because of satisfied, but because they believe in the product and has a strong motivation to An Examination of the Relationship among Motivation, Satisfaction... � 2911 travel back. In addition to the direct effect test, the SEM is also known indirect effect. The indirect effect is the result of multiplying two 2 direct effects. Testing approach of the indirect affect is using Sobel Test tools, for the two no significant direct effect above, those are the effect of extrinsic motivation on trust, as well as the influence of satisfaction on product loyalty. Here are presented the results of the indirect effect: Table 4.4 Indirect Effect Relationship between variables Std P-value Remarks coefficient Mediation 1. Extrinsic Motivation X2 � 0.232x0.471 0.009 Significant Satisfaction X3 � Trust X4 = 0.109 Full mediation Mediation 2. Satisfaction X3 � Trust X4 � 0.471x0.304 0.002 Significant Product loyalty Y1 = 0.143 Full mediation The test results as follows: The indirect effect between extrinsic motivation X2 on trust X4 via satisfaction X3, obtained p value of 0.009 0.05 and the coefficient of the indirect influence of 0,109. So the conclusion is, there is a significant indirect effect between extrinsic motivation X2 on trust X4 via satisfaction X3. It means, that the higher value of extrinsic motivation X2, will affect the value of trust X4 through satisfaction X3. This illustrates that the tourists motivation does not only incr ease the loyalty of the product but also increase tourist satisfaction. Furthermore, this research shows that satisfaction becomes full mediators on motivational influence with trust. These findings corroborate the findings of Ryan and Deci, 1985 and Mundet and Ribera, 2001. The indirect effect between satisfaction X3 on products loyalty Y1 through the trust X4, obtained p value of 0.002 0.05 and the coefficient of the indirect influence of 0.143. So it can be concluded that there is a significant indirect effect between satisfaction X3 on products loyalty Y1 through the trust X4. It means that, the higher value of satisfaction X3, will affect the value of products loyalty Y1 through trust X4. In other words, that the satisfaction not only increase loyalty but also increase the tourist trust. This formulation also showed that trust acts as a mediator on the effect of satisfaction with the product loyalty. So trust as a fundamental element for the success of a relationship marketing Berry, 1995. This finding is consistent with Morgan and Hunt, 1994; Kim, et al 2011; Caceres and Paparoidamis, 2007. 4. DISCUSSION AND IMPLICATION From these results, it is known that the loyalty of the product is not only determined by the satisfaction and trust but also determined by a strong motivation from the 2912 �

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past experience. In other words, the existence of a strong motivation can make consumers remain loyal to the products they used, even though at that time they feel dissatisfaction or distrust of the product. The findings also show the role of satisfaction and trust as an intermediary variable or full mediator on the relationship between motivation and loyalty, because extrinsic motivation indirectly affect trust. Meanwhile, satisfaction also indirectly affects the loyalty to the product. This shows that the satisfaction and trust are needed in increasing the tourist motivation to grow the tourist loyalty to the product. Empirically, this model proves tourists encouragement directly or indirectly increase product loyalty, if tourists get the satisfaction and trust from the past experience. The loyalty shown by the intention to re-use the same product while travelling, recommending the same product to others, and have a tendency to be directly involved in the same activities in the future. The result of this research provides a theoretical and practical implication. These findings are consistent and reinforce the results of previous researches, particularly those which are conducted by Yoon and Uysal 2005; Kim, Lee, and Klenosky, 2003; Careres and Paparoidamis, 2007; Sirdeshmukh, et al 2002: Kim, et al, 2011. Theoretically, the consistency of these findings suggests the establishment robustness from the influence of motivation, satisfaction and trust in improving tourist loyalty. Besides, these findings also strengthen and deepen the implementation of the theory of decision-making on the behavior of tourists Swarbrooke abd Horner, 2007, relationship marketing Berry, 1995 and self- determination theory Ryan and Deci, 1985. Furthermore, for tourism marketing practitioners, this research provides an overview that should be considered in developing a marketing strategy, particularly in building product loyalty in tourism services. The findings of this research indicate that satisfaction is not the only determinant of loyalty to the product, but is also determined by the level of their trust and their strong motivation from within and from outside. The evidence of the mediating role of satisfaction and trust indicates that the tourist motivation is not only able to increase loyalty but also build satisfaction level and tourists trust, which ultimately make loyal travelers. The existence of satisfaction and consumers trust, making tourists thinks less of other alternatives which are available in the tourism market. Further, increase customer satisfaction and trust will be very useful in making consumers remain loyal, especially at the time of high competition and barriers to move are very less. Satisfaction and trust can be built through the development of emotional relationships and the development of product differentiation that can benefit the tourists both economically and emotionally. Product differentiation is done by determining new things rather than the perspective that is commonly used. In addition, all the factors that influence satisfaction, especially motivation, can be clearly identified and integrated in An Examination of the Relationship among Motivation, Satisfaction... � 2913 synergy to create a quality experience travel to all service aspects, that allows for travelling back and recommending others. 5. CONCLUDING COMMENTS From the above results, some conclusions were obtained as follows: 1 intrinsic motivation and extrinsic motivation influence on satisfaction, 2 extrinsic motivation and satisfaction affect the trust, 3 the intrinsic motivation; extrinsic motivation, satisfaction, and trust affect the product loyalty. Tourist satisfaction tested into a full mediation on relationship between extrinsic motivation and trust. Besides, trust is also a full mediator in the relationship between satisfaction and product loyalty. Satisfaction and trust become variables into the relationship between motivation and product loyalty. It means, to build product loyalty, not just satisfaction and trust are concerned, but tourist motivation has to be noted as well. This research has several weaknesses that need to be overcome for researchers who are interested to make research about product loyalty, especially in the subject of research. This research was conducted on the diving activities as a representation of the tourism market. To obtain findings that can be generalized in the tourism market, researchers need to use other tourist activities to test the consistency of findings across the market. Acknowledgements The authors gratefully acknowledge the helpful comments of Prof. Dr. IKG. 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