Artículos de investigación

Influence of the Services Marketing Mix and Place Branding on Tourism Destination Image*

Influencia del Marketing Mix de servicios y la marca de lugar en la imagen del destino turístico

Heppy Agustiana Vidyastuti
STIE Ekuitas, Indonesia

Influence of the Services Marketing Mix and Place Branding on Tourism Destination Image*

Revista CEA, vol. 7, no. 14, e1646, 2021

Instituto Tecnológico Metropolitano

Received: 28 October 2020

Accepted: 03 February 2021

Abstract: The aim of this study is to establish if concepts such as the Services Marketing Mix and Place Branding have any influence on Tourism Destination Image. Therefore, it adopted a quantitative cross-sectional exploratory methodology. The average annual population of tourists in Garut District, Indonesia, is 231,563; and, using Slovin’s formula, a sample size of 100 visitors was calculated. To determine if the items used here to measure the variables of the Services Marketing Mix, Place Branding, and Image were reliable and valid, a Pearson correlation test was conducted. Structural equation modeling was implemented to verify the relationships between the variables. The results indicate that neither the Services Marketing Mix nor Place Branding have any influence on the concept of Tourism Destination Image. Therefore, the strategies designed to improve the image of this tourist destination should be focused on other aspects.

Keywords: marketing mix services, place branding, tourism, JEL Classification: L83, M31.

Resumen: El propósito de este artículo fue el de identificar si conceptos como el Marketing Mix Service y el Place Branding tienen alguna influencia sobre Imagen, para lo cual se utilizó una metodología de tipo cuantitativa, transversal y con alcance exploratorio. Con una población de turistas de 231563 en promedio, por año, y haciendo uso de la fórmula de Slovin, se obtuvo un tamaño de muestra de 100 visitantes. Para determinar si los ítems utilizados para medir las variables de Marketing Mix Service, Place Branding and Imagen eran confiables y válidos, se hizo uso del test de correlación de Pearson (resultados iguales o por encima de 0.3 son aceptables). Para verificar las relaciones entre las variables, se hizo uso de la metodología de ecuaciones estructurales. Los resultados indicaron que ni el Marketing Mix Service ni el Place Branding tienen influencia alguna sobre el concepto de Imagen. Por tanto, las estrategias para impactar positivamente la imagen del destino turístico deben estar orientadas por otras líneas de trabajo.

Palabras clave: Marketing Mix de servicios, marca de lugar, turismo, Clasificación JEL: L83, M31.

1. INTRODUCTION

Tourism activities in Indonesia have recently begun to grow, develop, and even become a trend and lifestyle in Indonesian society (Sunjayadi, 2018; Chen & Ting, 2019). As a result, tourism activities are expected to become a mainstay sector able to drive other closely related economic sectors (Mishra et al., 2011; Cheah & Abdul-Rahim, 2018; Dwi Lestari & Yuwono, 2020). The Indonesian government, following its development program in the next five years, will focus on the land and maritime infrastructure, energy, food, and tourism sectors. The selection of these five sectors is noteworthy because they have a very significant role in the national development in the short, medium, and long term. Among them, tourism has been determined to be the leading sector because it is predicted to have a positive growth; and can become a medium for inter-sectoral program integration (Weidenfeld, 2018).

Tourism has the strategic role of increasing and supporting national economic development (Adu-Ampong, 2018). In Indonesia, this sector is a major source of foreign income that employs national labor and encourages foreign investment. Bappeda Jabar Humas (2005) mentions that tourism should be strengthened and given special attention, in terms of implementation and development, to create a thriving regional economy in general and especially in Garut District.

Table 1 details the yearly financial contribution of the Indonesian tourism sector to the Gross Domestic Product of Garut District.

Table 1. GDP of Garut District from 2013 to 2015 (in millions of IDR)
Tabla 1. PIB del Distrito de Garut de 2013 a 2015 en millones de rupias indonesias
YearIncome from tourism servicesTotal GDP of Garut District (in millions of IDR)Contribution to GDP
2013931.318,3133.687.510,523 %
20141.017.077,9437.084.186,773 %
20151.139.908,5640.681.251,803 %
Source: Central Bureau of Statistics of Indonesia (2015a).

In the table above, the contribution of tourism to the total GDP of Garut District’s is still small, at around 3%. Therefore, the potential of tourism should be developed so that such contribution increases in the future. Table 2 shows historical data of tourist visits to the West Java Province, Garut District, and Ciamis Distric.

Table 2. Historical data of tourist visits to West Java, Garut District, and Ciamis District (2012–2015)
Tabla 2. Datos históricos de visitas turísticas a Java Occidental, el Distrito de Garit y el Distrito de Ciamis (2012-2015)
NoDescriptionTourist type2012201320142015CAGR
1West Java ProvinceForeing tourist Domestic tourist1.905,378 42.758.0631.794.401 45.563.1791.962.639 47.992.0882.027.629 56.334.7062.09 % 9.63 %
2GarutForeing tourist Domestic tourist4.745 1.676.9885.539 1.962.7036.334 2.248.4194.334 1.874.222-2.97 % 3.78 %
3CiamisForeing tourist Domestic tourist10.074 1.408.8588.318 1.241.8166.563 1.074.7757 169.696-91.14 % -50.61 %
Source: Central Bureau of Statistics of Indonesia (2015b).

Table 2 shows some particularities regarding the number of tourist arrivals in 2015 in each place:

Table 3 reports the number and type of tourists who visited the West Java Province in 2015.

Table 3. Tourist visits to West Java Province (2012–2015)
Tabla 3. Visitas turísticas a la Provincia de Java Occidental (2012–2015)
NoRegency / cityForeing touristDomestic touristTotal
ARegency
1Bogor228.9134.955.0795.183.992
2Sukabumi49.9852.031.9792.081.964
3Cianjur12.100212.095224.195
4Bandung867.0005.583.4686.450.468
5Garut4.3341.874.2201.878.554
6Tasikmalaya1.362505.570506.932
7Ciamis126.022126.022
8Kuningan1161.189.1021.189.218
8Cirebon644.224644.224
10Majalengka1.500443.001444.501
11Sumedang18.637992.3151.010.952
12Indramayu111.703111.703
13Subang748.9723.477.3004.226.272
14Purwakarta2.7821.957.1941.959.976
15Karawang6494.574.4114.575.060
16Bekasi49.74049.740
17Bandung Barat278.0271.289.6571.567.684
18Pangandaran10.3441.824.3671.834.711
BCity
19Bogor13.2175.293.0405.306.257
20Subakumi3.26682.31685.582
21Bandung432.2711.431.2901.863.561
22Cirebon1.4231.354.7221.356.145
23Bekasi
24Depok7.8121.864.2731.872.085
25Cimahi3391.9682.307
26Tasikmalaya25302.908302.933
27Banjar50.45350.453
Total2.683.07442.222.41744.905.491
Source: Central Bureau of Statistics of Indonesia (2015b).

The decrease in the number of both types of tourist visits to Garut District from 2014 to 2015 should be studied in order to understand the marketing mix of tourism services in said district, especially the place branding of Santolo beach, its image, and tourists’ decision to visit it. This study aims to analyze the effect of services marketing mix and place branding on the tourism destination image of this place.

2. THEORETICAL FRAMEWORK

Services marketing mix

According to Zeithaml et al. (2012), “the marketing mix is defined as the elements an organization controls that can be used to satisfy or communicate with customers” (p.23). Furthermore, “the traditional marketing mix is composed of the four Ps: product, place, promotion, and price. […] In addition to the traditional four Ps, the service marketing mix includes people, physical evidence, and process” (p.23). In turn, Harwiki et al. (2018) claim that innovation is a trigger to survive in the global market; without innovation an enterprise quickly becomes hackneyed. Mukherjee and Shivani (2016) argue that “the model represents service marketing mix influence on certain selected dimensions of brand equity, namely, brand image(s) and perceived service quality and thereby on brand equity.” Chandra (2015) asserts that “the result is showing that intensity of marketing activities is not significantly impacting brand equity through brand awareness.” Additionally, only price and store image have a significant effect on brand equity through brand image, whereas intensity of marketing activities and price deals do not (Peter et al., 2018).

Place branding

According to Blain et al. (2005), place branding are the marketing activities:

1. That support the creation of a name, symbol, logo, word mark or other graphic that both identifies and differentiates a destination; 2. That convey the promise of a memorable travel experience that is uniquely associated with the destination; and 3. That serve to consolidate and reinforce the recollection of pleasurable memories of the destination experience, all with the intent purpose of creating an image that influences consumers’ decisions to visit the destination. (p.331)

Govers and Go (2009) posit that “Place branding is not just about communicating, but also about actual investment in local products, tourism services, infrastructure, education, sports, health care and cultural heritage.” (p.15). Furthermore, “Place branding refers to branding and building brand equity in relation to national, regional and/or local (or city) identity.” Suyana and Senoh (as cited in Avraham & Ketter, 2008) suggests that “the branding of a place can be divided into three categories: brand spirit, brand resources, and brand personality.” (p.15). Balakrishnan et al. (2011) report that the concept of destination branding can be complex because it includes corporate branding and elements such as products and services. Govers and Go (2009) locate city branding in a hexagon that consists of presence, place, potential, pulse, people, and prerequisites (p.3).

Tourism Destination Image

Aksoy and Kiyci (2011) define image as “the thing that is designed in mind and wanted to be realized, dream, impression” (p. 479). Sometimes these cues have unintended as well as intended symbolic value (p. 13). Kotler and Keller (2012) argue that “corporate image is the sum of people’s perception […] created through all sense: sight, sound, smell, touch, taste and feeling experienced through product usage product, customer service, the commercial environment and corporate communication. “Store image can be defined as a particular type of feedback from those in given market regarding the credibility of the identity claims that the organization makes” (Cretu & Brodie, 2007). Other authors like Ranjbarian et al., (2012); Majtán and Frianová, (2011) have claimed that “In today’s competitive environment, many companies need to project a strong and positive reputation two their stakeholders, namely the employees, consumers, investors and the public.”

3. METHOD

This study applied a quantitative method supported by an explanatory survey focused on customer perception of the services marketing mix, place branding, and image, where the intangible variables were marketing mix services and place branding and the tangible variable was image. The data sources were primary and secondary. The primary data, obtained from tourist respondents in the field, are concerned with the services marketing mix, place branding, and image. Secondary data convey supporting information that complements research data. Primary data are obtained from questionnaires, interviews, and observations, while secondary data are obtained from a government institute of Indonesia known as Badan Pusat Statistik (BPS) and from books and related documents.

The survey was conducted by a team of researchers at Santolo beach in southern Garut. The instrument used to collect the data was a questionnaire administered to visitors of said beach. The design of the research instrument was based on three research variables: services marketing mix, place branding, and image. The questionnaire was composed of closed-ended questions that were answered using a Likert scale from 1 to 5. In this paper, validity and reliability were supported if the Pearson correlation coefficient was greater than or equal to 0.30 (r ≥ 0.3).

Structural Equation Modeling (SEM), i.e., a data analysis technique, and LISREL 9.2 Student software were used here to analyze the problems mentioned above. SEM models are statistical techniques that can be employed to simultaneously test a series of relatively complex relationships. Complex relationships can be established between one or several dependent variables with one or several independent variables. The steps followed in this study to conduct the SEM are explained in Figure 1.

Figura 1. Pasos de este estudio
Figure 1. Steps followed in this study
Figura 1. Pasos de este estudio
Source: Created by the authors.

This study implemented simple random probability sampling (Pardjono et al., 2015), a sampling technique where all the individuals in the population, individually or in groups, have the same probability of being selected for the sample.

The survey was conducted on Santolo Beach, a tourist destination in southern Garut. Simple random sampling was applied, and Slovin’s formula resulted in a sample size of 100 respondents (out of 231,563 tourists). As expressed in Umar (2008), Slovin’s formula is n = N / (1 + Ne2), where n = sample size/number of respondents; N, population size; and e, maximum tolerable error rate (10 % in this case).

4. RESULTS

Validity and reliability

According to Pardjono et al., (2010), validity tests are employed in research to measure how well a research instrument that has been developed can measure a construct. The requirement to pass the validity test in this study is a Pearson correlation coefficient greater than or equal to 0.30 (r ≥ 0.3); therefore, variables with values < 0.30 were not supported. Table 4 presents the validity test results of each variable (i.e., Marketing Mix, Place Branding, and Destination Image).

Table 4. Validity test results of independent variables in the Marketing Mix (Pearson correlation test)
Table 4. Resultados del test de validez de las variables independientes en el Marketing Mix
VariableSub-variabler countCondition rConclusion
Services Marketing MixService (X1).578**> 0.30Valid
.654**> 0.30Valid
Price (X2).708**> 0.30Valid
Place (X3).463**> 0.30Valid
Promotion (X4).467**> 0.30Valid
People (X5).469**> 0.30Valid
Physical Evidence (X6).783**> 0.30Valid
.760**> 0.30Valid
Process (X7).467**> 0.30Valid
Place BrandingPresence (X8)870**> 0.30Valid
Place (X9).875**> 0.30Valid
Potential (X10).913**> 0.30Valid
Pulse (X11).847**> 0.30Valid
Destination ImagePersonality (X12)875**> 0.30Valid
Reputation (X13).847**> 0.30Valid
Value (X14).913**> 0.30Valid
Destination Identity (X15).846**> 0.30Valid
Source: Created by the authors.

In Figure 2, the coefficient of the influence of the Services Marketing Mix (named BauranPJ) on Tourism Destination Image (named CitraP) is 0.298 (approximately 0.30), and that of Place Branding (named Fbrandin) on Tourism Destination Image is 0.356 (approximately 0.36).

Figura 2. Influencia del Marketing Mix para servicios y marca de lugar en la imagen del destino turístico. CitraP: imagen del destino turístico, BauranPJ: Marketing Mix para servicios y Fbrandin: marca de lugar
Figure 2. Influence of Services Marketing Mix and Place Branding on Tourism Destination Image. CitraP: Tourism Destination Image, BauranPJ: Services Marketing Mix, and Fbrandin: Place Branding
Figura 2. Influencia del Marketing Mix para servicios y marca de lugar en la imagen del destino turístico. CitraP: imagen del destino turístico, BauranPJ: Marketing Mix para servicios y Fbrandin: marca de lugar
Source: Created by the authors.

Table 5 presents the hypotheses tested here to verify the relationships between variables.

Table 5. Hypothesis testing to verify relationships between variables
Table 5. Pruebas de hipótesis para verificar relaciones entre variables
Variable relationshipsEstimated coefficientStandard errorT-valueDecision
BauranPJ CitraP0.2980.2181.367Not supported.
Fbrandin CitraP0.3560.2151.656Not supported.
Source: Created by the authors. Note: *** p < 0.001, ** p < 0.01, * p < 0.05

The hypothesis of the influence of BauranPJ on CitraP was tested applying the following procedure:

Hypothesis Test 1:

H0 : Y21 = 0 The Services Marketing Mix has no effect on Image.

H1 : γ 21 0 Place Branding influences Image.

As a result, we obtained the following test statistics:

Ho is rejected if t1 t-table.

Ho is not rejected if t1 < t-table.

The same procedure was carried out to testing the influence of Fbrandin on CitraP:

Hypothesis Test 2:

H0 : γ 22 = 0 Place Branding has no effect of on Image.

H1 : γ 22 0 Place Branding influences Image.

As a result, we obtained the following test statistics:

Ho is rejected if t2 t-table.

Ho is not rejected if t2 < t-table.

The t- value of Hypothesis 1 was 1.367, and that of Hypothesis 2 was 1.656. As both values are below the t-table = 1.98 (with an alpha of 5%), the sampled data fails to reject the null hypothesis; thus, neither of the two effects are supported.

5. DISCUSSION

This study is in line with Kavaratzis and Hatch (2013) in that image and place branding should be analyzed in order to promote tourism. Other studies have supported a positive relationship between place branding and destination image. McCreary et al. (2020) claim that a component of place branding is the visual image of the place. According to Garay (2019), in the current globalized context we live, local brands undoubtedly play a crucial role in the formation of the image of tourist destinations. Gertner (2019) refers to the influence of place branding on destination image through cultural appropriation but criticizes the fact that indigenous rituals and traditions are exploited to draw in tourists. She also calls on those in charge of place branding to listen to and talk with leaders of the communities involved in order to have their approval in terms of the dissemination of their cultural traditions. This was the origin of this paper, which analyzed the influence of place branding on the tourism destination image of Santolo Beach in Garut, Indonesia.

The services marketing mix has also been highlighted in the literature because it has a positive influence on tourism destination image. According to Hu (2009), the marketing mix strategy is very important in maintaining the image of products. The results obtained by Garay (2019) indicate that destination management organizations should be oriented toward the creation of strategies that project the image of tourism destinations based on the promotion of certain products, even if it means paying less attention to already popular products.

Although the literature has reported a positive orientation and influence of constructs such as services marketing mix and place branding on tourism destination image (Boisen et al., 2018), this study did not find evidence in the same line. The statistical results here indicate that the services marketing mix has no influence on image. Therefore, a more positive or negative image cannot be explained by the services marketing mix currently being implemented by the tourism organization. This could be due to the fact that the marketing mix is not adequately applied by tourism officers to Santolo Beach in Garut. Therefore, tourists may have different perceptions, which has an impact on their satisfaction and dissatisfaction. This lack of association between place branding and destination imagen may exist because not enough attention has been paid to the elements that compose the brand. In this particular case, Santolo Beach offers a number of coral reefs along the coast where small fish live and the big roar of the waves that calms the atmosphere, among other elements.

6. CONCLUSIONS

A total of 100 visitors to Santolo Beach in Garut participated in this survey. Considering the data collected and the data analysis conducted using Structural Equation Modeling, it can be concluded that, in this case, the concepts of the services marketing mix and place branding have no influence whatsoever on the concept of image. Hence, the strategies designed to improve the image of this this tourist destination should be focused on other aspects.

The literature review in this paper suggests that further studies should analyze the place image and branding of other tourist destinations in order to lay solid foundations to design strategies to promote them. Therefore, they should should differentiate the type of tourist destination (beach, mountain, and city, among others) and establish the components that make them different to better manage their image.

Further studies should compare tourist destinations in developed countries and emerging markets to understand how this influences the perception of place image and branding. Additionally, statistical samples should be robust and heterogeneous in order to produce more accurate models that contribute to strengthen the tourism sector.

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Notes

* This article is derived from the LPPM (Community Service Research Institute) STIE EKUITAS Internal Research Grant Project.
- CONFLICTS OF INTEREST

The author declares no conflict of financial, professional, or personal interests that may inappropriately influence the results that were obtained or the interpretations that are proposed here.

Additional information

How to cite / Cómo citar: Vidyastuti, H. A. (2021). Influence of the Services Marketing Mix and Place Branding on Tourism Destination Image. Revista CEA, v. 7, n. 14, e1646. https://doi.org/10.22430/24223182.1646

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