International Journal of Entrepreneurship (Print ISSN: 1099-9264; Online ISSN: 1939-4675)

Research Article: 2018 Vol: 22 Issue: 4

Entrepreneurial Orientation and Marketing Performance of Budget Hotel SMEs in Bali Island

I Ketut Santra, Bali State Polytechnic


This study focuses on how the entrepreneurs of budget hotels in Bali, Indonesia, manage entrepreneurship orientation to support marketing performance by proposing the variables of market sensing, organizational learning, and marketing resource flexibility. A total of 384 hotel managers were surveyed. By using Structural Equation Modeling (SEM) AMOS version 22, the findings show that entrepreneurial orientation mediated by market sensing can necessarily be applied in tourism-based SMEs. Moreover, marketing resource flexibility and organizational learning have significant influence on market sensing and marketing performance. The findings are actually useful in analyzing entrepreneur management in anticipating customer trends, particularly of the budget hotels in Bali that highly contribute to support the excellent performance and continuity of tourism of this region as the world’s most popular destination.


Entrepreneurial Orientation, Organizational Learning, Marketing Resource Flexibility, Market Sensing, Marketing Performance.


Many studies have revealed that entrepreneurial orientation influences company performance (Awang et al., 2010; Lyion et al., 2000; Wiklund and Sherperd, 2005). However, the mechanism of entrepreneurial orientation of SMEs affecting the performance revealed by previous literatures is still presumably inconclusive (Li, 2009). In this context, Rauch et al. (2009), Wiklund and Sherperd (2005) recommend the consideration to include mediating variables in the relationship between entrepreneurial orientation and marketing performance. Eriksson et al. (2014) suggest entrepreneurial orientation as an antecedent of organizational capability. Moreover, behavioral tendencies and the ability to innovatively act in the search and exploit for new opportunities more significantly affect performance.

Accordingly, this study attempts to address the aforementioned gap and examine whether the concept of entrepreneurial orientation can particularly be applied to tourism-based SMEs, by selecting the object of budget hotels in Bali. The focus of this study is on how the owners and managers of budget hotels manage the entrepreneurial orientation to support the marketing performance by proposing the variables of market sensing, organizational learning and marketing resource flexibility. Even though the roles of international chain hotels have widely empirically been discussed in previous literatures, this study would like to offer the originalityand enhance theoretical development of the role of entrepreneurial orientation of budget hotels on hospitality industry and international tourism; and the consideration of the characteristics of market sensing management of SMEs. In addition, the discussion of entrepreneurial orientation in tourism based-SMEs, and the role of market sensing in hospitality industry have not arguably sufficiently been discussed in the midst of rapid growing of tourism in an international context.

Literature Review And Hypotheses

Entrepreneurial Orientation

Entrepreneurial orientation is of a very vital role in the acquisition and utilization of marketing information (Keh et al., 2007; Ismail, 2016). Rhee et al. (2010) argue that entrepreneurial orientation drives the learning orientation within organization. Companies with a high entrepreneurial orientation are more aggressively able to enter new markets characterized by a high risk and consequently, require more intensively organizational learning (Alegre and Chiva, 2009). Wang (2008) reveals that entrepreneurial orientation has a positive influence on organizational learning that ultimately positively influences marketing performance.

The actions of entrepreneurial orientation are more likely to improve the ability of both management and employees’ level to capture new opportunities (Eriksson et al., 2014), obtain information of the changes potentially disrupting business (Rhee et al., 2010), manage risk (Gebauer, 2011; Wang et al., 2013) and strengthen any competitive advantage (Keh et al., 2007).

Wiklund and Sherperd (2005) state that the combination of entrepreneurial orientation and the ability to anticipate environment dynamics and access to capital resource considerably influence marketing performance. Yang (2008) reveals that the types of transformational leadership and entrepreneurial orientation contribute to the achievement of a high marketing performance. Likewise, in analyzing the agribusiness industry in Malaysia, Awang et al. (2010) state that entrepreneurial orientation positively affects company performance. Eggers et al. (2013) find that customer orientation negatively influences performance, but entrepreneurial orientation has a positive effect. Grande et al. (2011) reveal a positive relationship between entrepreneurial orientation and marketing performance.

H1: Entrepreneurial orientation positively influences organizational learning.

H2: Entrepreneurial orientation positively affects market sensing.

H3: Entrepreneurial orientation positively influences marketing performance.

Marketing Resource Flexibility

Resource flexibility is characterized by two forms of responsiveness of a high level of changes in supply and demand, and of adjusting of adaptive structure and marketing strategies to market changes (Kramarz and Kramarz, 2014). Flint et al. (2008) state that a company's ability in anticipating customer value comes from the success in environmental scanning.

Sapienza et al. (2006) propose that the ability of adaptation and flexibility of resources can improve a company’s growth and survival strength. Chang et al. (2007) state that resource flexibility leads to the improvement of performance. Companies that have a flexible operational capability can optimize the utilization of resources and in turn, increase the performance (Gindy and Saad, 1998). Hence, an increasing level of the alternative use of resources shows the flexibility of particular company (Grande et al., 2011), in the form of volume, variations of the model and the number of new products launched (Esturilho and Estorilio, 2010).

H4: Resource flexibility positively affects market sensing.

H5: Marketing resource flexibility positively affects marketing performance.

Organizational Learning

Unger and Homburg (2006), Levinthal (1991) state that knowledge, in the forms of adaptability and anticipation as a result of organizational learning, facilitates entrepreneurs to acquire new opportunities. Jantunen (2005) further states that the ability to anticipate any environmental changes is obtained from learning. This suggests that companies’ ability in exploring and scanning the business environment depends on the intensity of adequate learning (Rhee et al., 2010; Lopez et al., 2005; Wahyuni and Ginting, 2017).

Hence, accumulated knowledge of learning is a useful element of knowledge in scanning the business environment. The fact that recently business competition heavily relies on the speed of information makes a company unable to mainly depend on the creation of internal knowledge, the intensity of adequate learning to build an absorbtive capacity of external knowledge required to enable companies to face competition and develop further capabilities (Cohen and Levinthal, 1990; Schienstock, 2009). Santos-Vijande et al. (2012) argue that organizational learning is more likely to improve company capability to capture more relevant information related to the current and future market trend. Hence, a higher organizational learning is likely to assist in the anticipation and adaptation actions of the company. The more intensive the organizational learning, the higher the ability of the organization to anticipate changes.

H6: Organizational learning positively influences market sensing.

Market Sensing

Companies being able to anticipate the changing needs of customers tend to have superior performance (Flint et al., 2008; Blocker, 2007; Budiharseno, 2017). Hough and White (2004) mention a positive relationship between scanning frequency and the performance achieved by a company. Accordingly, a company is suggested to allocate resources which are adequate for scanning activity to monitor and evaluate both external and internal environment. Thomas et al. (1993) further state that scanning, interpretation and responsiveness positively affect performance. Johannesson and Palona (2010) find that scanning activity decisively determines the formulation of strategies and therefore affecting performance (Figure 1).

Figure 1: Conceptual Model

H7: Market sensing positively influences marketing performance.

Research Method

Data Collection and Analysis

This study uses representative sampling technique by distributing 384 questionnaires that were in accordance with the minimum sample requirement (Hair et al., 1998). A total of 384 copies of questionnaires were delivered to the enumerators for each district in Bali region. The response rate was 67% or 257 questionnaires were returned. As much as 45 questionnaires were not eligible, only the remaining data of 212 respondents were further processed. The data were further processed and analysed using Structural Equation Modeling (SEM) by software AMOS version 22. Before testing the hypotheses, the study conducted an analysis of the measurement model of exogenous and endogenous variables andstructural equation analysis to get a fit model that met the goodness index.

The items for measuring the variable of entrepreneurial orientation were adopted from the concept developed from several previous studies (Covin and Slevin, 1989; Lumpkin and Dess, 1996) consisting of inovativeness, proactiveness, risk-taking and autonomy. The variable of market sensing is indicated by some activities, including scanning, sensing, classifying or framing, collecting, acquiring and integrating any information, potential resources and predictions of alternative actions and decisions, that are adapted from Celuch et al. (2007). Organizational learning was adapted from several previous studies (Wang, 2008; Nasution et al., 2011), consisting of commitment to actively understand and acquire new knowledge, techniques, methods and best practices in improving organizational performance. Moreover, marketing resource flexibility measurement items consist of utilization, allocation, reallocation and adoption of marketing resources immediately in response to changes in market demand (Ferdinand and Batu, 2013). Lastly, this study uses some measures of marketing performance including financial performance and the growth of employees (Lumpkin and Dess, 1996; Wiklund, 1999), comprising of three indicators, including the growth rate of sales, the growth rate of earnings and the growth rate of the company's assets.


Respondent Characteristics

A majority of the respondents, 205 (96.7%) were owner-managers, whereas only 7 (3.3%) were managers. A total of 141 (66.5%) respondents were male, while 71 (33.5%) were female. A majority of the respondents (51.9%) were between 31 and 40 years old, followed by 40-50 years old (26.4%), and below 30 years old (15.1%). Of all the respondents, most graduated from high school (87.3%). Moreover, a total of 101 hotels (51.9%) were built between 2000- 2010, followed by those built between 1991-2000 (90 hotels or 42.5%), with a majority of them (189 hotels or 89.2%) were personally owned (Table 1).

Table 1
Demographic Characteristics Of The Sample
Variable Frequency (%)
Manager-Owner 205 96.7
Manager 7 3.3
Male 141 66.5
Female 71 33.5
<30 32 15.1
30-40 110 51.9
40-50 56 26.4
50-60 11 5.2
>60 3 1.4
Educational Level    
>High School 185 87.3
Undergraduate 24 11.3
Master 3 1.4
Establishment Year    
<1990 11 5.2
1991-2000 90 42.5
2000-2010 101 51.9
>2011 10 4.7
Company Status    
Sole proprietorship 189 89.2
Limited partnership 22 10.4
Limited Company 1 0.5
Table 2
Validity Of Exogenous Variable
Exogenous variable items Std. Loading
Entrepreneurial Orientation:  
Proactiveness 0.85
Inovativeness 0.78
Risk 0.66
Resource Flexibility:  
Allocation 0.89
Utilization 0.87
Reallocation 0.86

Reliability and Validity

The validity was assessed from the confirmatory factor analysis explaining the significance and loading value of each indicator of a construct. Indicators are perceived to be meaningful if it has a loading value above 0.7 with a significance probability which does not exceed 0.05. The results of the analysis show that all the indicators have a significance of 0.01, meaning that all the indicators of constructs are able to reflect the latent variables. The result shows that the indicators of the exogenous variables have acceptable loading value: proactiveness (0.85), inovativeness (0.78) and risk (0.66) for entrepreneurial orientation, and allocation (0.89), utilization (0.87) and reallocation (0.86) for resource flexibility (Table 2). For endogenous variable, the validity and construct reliability results are shown in Table 3.

Table 3
Validity And Construct Reliability
Endogenous variable items   Loading and Error   Coefficient
    Std. Loading Loading Std. Loading Error Construct Variance
    square square Reliability Extracted
Organizational Learning: 5.592 31.270 4.478 2.522 0.925 0.640
Acquisiting new knowledge 0.809   0.654 0.346    
Searching new knowledge 0.824   0.681 0.319    
Evaluating performance 0.817   0.667 0.333    
Training employees 0.746   0.557 0.443    
Sharing knowledge 0.837   0.701 0.299    
Accepting consumer suggestions   0.829   0.687 0.313    
Improving new skill and 0.73   0.533 0.467    
Market Sensing:   5.768 33.270 4.758 2.242 0.937 0.680
Framing marketing 0.825   0.681 0.319    
Framing market changes 0.817   0.667 0.333    
Gathering market needs 0.793   0.629 0.371    
Forecasting sales prediction 0.807   0.651 0.349    
Forecasting market 0.811   0.658 0.342    
Scanning business changes 0.835   0.697 0.303    
Scanning competitor strategy 0.88   0.774 0.226    
Marketing Performance: 2.474 6.121 2.045 0.956 0.865 0.682
Sales Growth   0.83   0.689 0.311    
Profit Growth   0.868   0.753 0.247    
Asset Growth   0.776   0.602 0.398    

Moreover, the testing results in an acceptable loading value of the indicators of the endogenous variables. The organizational learning indicators of intensively sharing new techniques and methods have the highest loading value (0.837), followed by accepting consumer suggestions (0.829) and searching new knowledge (0.824). The loading values of the variable of market sensing are acceptable: scanning competitor strategy (0.88), scanning business changes (0.835) and framing marketing information (0.825). Finally, all the indicators of market performance are significant at 0.01 with a loading value above 0.7, in which the rate of profit growth has the highest score (0.868), followed by the rate of sales growth (0.83), and asset growth (0.776).

Analysis of Structural Equation Model

The test result in Chi-Square value (χ2) is 372.875 being relatively small compared with χ2 of Cut-off Value (CoV) which amounts to 386.125 at (0.05; 342). Hence, there is no difference between the model being tested with the saturated models (Table 4).

Table 4
Goodness Of Fit Index
Goodness of Fit Indices Result Cut-Off Value  
Chi-Square (χ2) 372.875 ≤ 386.125 Good
Sig. Probability 0.12 ≥ 0.05 Good
CMIN/DF 1.09 ≤ 2.00 Good
GFI 0.89 ≥ 0.90 Marginal
AGFI 0.872 ≥ 0.90 Good
Tucker Lewis Index 0.992 ≥ 0.90 Good
CFI 0.993 ≥ 0.90 Good
RMSEA 0.02 ≥ 0.05 Marginal

The value of significance probability (α) is 0.12, greater than α of CoV of 0.05, therefore the matrix of variance/covariance is equal to the variance/covariance of sample. In addition, the test results meet the eligibility index of the model (GoF), such as GFI value (0.892), AGFI (0.872), Tucker Lewis Index (0.992), CFI (0.993), CMIN/DF (1.09 ≤ 2.00 that of CoV), RMSEA value (0.02 ≤ 0.08). Hence, it can be concluded that the model meets the criteria for a goodness of fit. Additionally, the test results reveal the explanatory ability that is reflected by the coefficient of determination or adjusted R-square, in which the entrepreneurial orientation, resource flexibility and organizational learning have relatively moderate predictability on customer value (0.33) and on marketing performance (0.32).

Hypothesis Testing

The statistical testings of hypothesis one and two reveal a positive significant relationship between entrepreneurial orientation and organizational learning (β standardized=0.552; S.E=0.081; C.R=7.008; p-value=0.01); and between entreprenurial orientation and market sensing (β=0.211; S.E=0.085; C.R=2.516; p-value= 0.012). The results demonstrate that the variable of entrepreneural orientation is capable of positively improving organizational learning and market sensing. This means that the higher the entrepreneurial orientation, the higher the market sensing. Thus, the first two hypotheses (Hypothesis 1& 2) are accepted (Table 5).

Table 5
Hypothesis Testing
Hypothesis Estimate S.E. C.R. P Standardized Estimate
OL EO 0.564 0.081 7.008 0.01 0.552
MS EO 0.215 0.085 2.516 0.012 0.211
MP EO 0.059 0.080 0.730 0.465 0.063
MS RF 0.144 0.064 2.243 0.025 0.150
MP RF 0.316 0.069 4.267 0.01 0.312
MS OL 0.370 0.082 4.530 0.01 0.366
MP MS 0.347 0.078 4.337 0.01 0.343
Note: EO=Entrepreneurial Orientation; RF=Marketing Resource Flexibility; OL=Organizational Learning; MS=Market Sensing; MP=Marketing Performance.

However, the testing result of the effect of entrepreneurial orientation on company performance shows insignificant relationship (β=0.063; S.E=0.080; C.R=0.730; p-value=0.465). Therefore, hypothesis 3 is rejected.

The statistical testings of the influence of resource flexibility on market sensing (β=0.150; S.E=0.064; C.R=2.243; p-value=0.025); and on marketing performance (β=0.312; S.E=0.069; C.R=4.267; p-value=0.01) show positive significant relationships. These results indicate that hypotheses 4 & 5, mentioning a positive significant influence of resource flexibility on both market sensing and marketing performance, are supported. Resource flexibility measured by some dimensions of utilization, allocation, reallocation and adoption is of positive and significant impact on market sensing. Thus, flexible resource management is very helpful in entrepreneurial management in meeting the needs of customers and understanding customer values.

The testing shows that organizational learning significantly influences market sensing (β=0.366; S.E=0.082; C.R=4.530; p-value=0.01). This means that the hypothesis stating that organizational learning is of positive and significant effect on market sensing is supported (hypothesis 6). Finally, the testing reveals a significant positive influence of market sensing on marketing performance (β=0.343; S.E=0.078; C.R=4.337; p-value=0.01), meaning that the higher the value anticipation, the higher the marketing performance. Thus, hypothesis 7 mentioning a positive influence of value anticipation on marketing performance is supported (Figure 2).

Figure 2: Structural Equation Model Testing

Conclusion And Implication

Generally, the study reveals that market sensing as a mediating variable is a valuable antecedent in fulfilling the theoretical gap in the relationship between entrepreneurial orientation and marketing performance. Futhermore, the findings are actually useful in analyzing entrepreneur management in anticipating the customer trends, particularly of the budget hotels in Bali that highly contribute to support the excellent performance and continuity of tourism in this region as one of the world’s most popular destinations. This means that market sensing is able to demonstrate its role in improving the performance of budget hotels that implement the strategy of entrepreneurial orientation. In practical terms, the testing results have implications for the two alternative strategies in improving the performance of budget hotels. Firstly, the performance of budget hotels that implement the entrepreneurial strategy can be enhanced by improving the integrated business anticipation. Secondly, budget hotels which have the ability in implementing preemptive and proactive actions, and in being responsive to the demands and needs of customers are more likely to improve the hotels’ capability to provide services in accordance with, or even exceed, their expectations. These strategies will ultimately increase customer revisit intentions and maintain their loyalty. Finally, the findings show that entrepreneurial.


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