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ISSN : 1229-3571(Print)
ISSN : 2287-819X(Online)
Korean Journal of Organic Agricultue Vol.26 No.2 pp.203-216

The Relationship between Organic Products Familiarity, Perceived Value, and Purchase Intention : An Empirical Study*

V. G. Girish**
Corresponding author, Assistant Professor, Department of Business Administration, Catholic University of Korea (
November 9, 2017 March 2, 2018 May 4, 2018


Product familiarity is vital to assess the purchase intention of consumers. In this study, a conceptual model was proposed to investigate the relationship among organic products familiarity, perceived value (measured by quality, emotional, price and social dimensions), and the purchase intention of students. The model was empirically tested using questionnaire survey data collected from 235 university students. The results reveal that organic products familiarity is positively associated with quality, emotional value, price value and social value. On the other hand, emotional value, price value and social value is also positively associated with purchase intention whereas quality shows insignificant relationship with purchase intention. Overall, the result shows students have positive outlook about their intention to purchase organic products.

유기농 제품 친숙성, 인식된 가치 및 구매 의도 사이의 관계 : 경험적 연구

기 리 쉬**


    Ⅰ. Introduction

    These days, consumers are of the belief and motto “You are what you eat” and this perception has made great contributions to the increase in demand for organic food (Norman et al., 2000). The enhanced consciousness creates thoughtful effect on consumers using organic products are expanding at a decent rate (Bhaskaran et al., 2006). The increase in organic production is due to consumers’ preference associated with health, ethics and trust as well as on ethical concerns such as environmental sustainability and animal rights (O’Mahony and Lobo, 2017). Past studies also reported the direct correlation of individual’s concern towards the environment and positive attitude with respect to organic food (McEachern and Willock, 2004). However, not all consumers totally understand the differences between non-organic and organic foods, where labeling of food has a significant influence on consumers’ decision-making (Tsakiridou et al., 2006). The trend is consumers’ increased use of organic consumption is not just for satisfying the functional needs but also to enact their identities and reflect their core values (Du et al., 2017). The insightful comment of Schifferestein and Ophuis (1998) about organic consumption is “part of a way of life. It results from an ideology, connected to a particular value system that affects personality measures, attitude and consumption behavior” (p. 119). The emerging market trend indicates the growth of organic products. But consumers are curious to know what an organic product can deliver before making purchase decisions (Singh and Verma, 2017).

    There has been a growing research in young people’s pro-environmental action and agency as consumers and citizens (Larsson et al., 2010). Still, the process by which a young person develops the intention to engage in purchasing organic products is relatively unexplored. Little is known about how perceived value might interact on the basis of young people’s organic products familiarity that leads to their purchase intention. It is very important especially to understand the purchase intention of organic products because they are the strong force to preserve the nature. Most likely, their education, acquaintance with internet, and learning through educators and peers make them more knowledgeable about the issues (Yazdanpanah and Forouzani, 2015). Research suggests, young people are the torch bearers of radical change and not many adults become environmental activists (Lenzen and Murray, 2001). Moreover, young people are future consumers and they have the capability of making a difference in forthcoming decades (Vermeir and Verbeke, 2008). Specifically, this study focuses on four aspects of perceived value, i.e. quality, emotional value, price value and social value (Sweeney and Soutar, 2001). In exploring these relationships, this study contributes in three ways (i) to understand about young people’s familiarity with organic products (ii) whether organic products familiarity is the antecedent of perceived value (iii) examines the mediating relationship perceived value with organic products familiarity and purchase intention.

    Ⅱ. Conceptual Framework and Hypothesis Development

    Previous studies focused on consumption behavior (Du et al., 2017) and product labeling (Jannsen and Hamm, 2012) of organic products. However this study focuses on understanding the purchase intention of consumers, associated with organic products. Organic products familiarity is very important to assess the perceived value and purchase intention of consumers. In this section, a conceptual model (Fig. 1) was developed delineating the antecedents and outcomes of perceived value. The significant determinants of organic consumptions are associated with consumers’ knowledge about quality and environment benefits of organic products (Bauer et al., 2013). Organic product familiarity is defined as “the number of product-related experiences that has been accumulated by the consumer” (Alba and Hutchinson, 1987, p. 411). Organic products familiarity occurs due to product related experiences that happens through purchasing and consuming organic products and collecting information about organic products either through research or reading about organic products or passively by seeing product display of organic products or advertisements (Du et al., 2017).

    Values are simply, a person’s judgment about what is important in life (Ramayah et al., 2010). Perceived values that are employed by a person are important criteria in making preferential judgment and direct the consumers’ choice (Varshneya and Das, 2017). Interplay of many dimensions of values simultaneously influences consumers’ consumption experiences (Ghazali et al., 2017). Zeithaml (1988) suggested perceived value as the overall assessment of the utility of a product on the basis of what is received and what is given by consumers. Sweeney and Soutar (2001) suggested the assessment of products by consumers not only on the basis of quality and performance, but also by assessing emotional value and social value. They also claimed that these values are often independent to each other, but they relatively add and make incremental contribution in the choice of customers. Quality is the utility derived from the perceived quality and expected performance of the organic products . Emotional value is, the utility derived from the feelings or affective states that an organic product generates . Price means the utility derived from the organic product as a function of cost. Social value is the degree to which organic product is perceived as enhancement of people’s self-concept provided by the organic product (Sweeney and Soutar, 2001). Indeed in business perspective, when people-based needs are satisfied, simultaneously they are delivering value that will place the business in a commanding position in the long run (Burden, 1998).

    Intention is a subjective probability to perform a specific behavior (Fishbein and Ajzen, 1975). The significant predictors of actual buying behavior are influenced by intention and willingness (Ajzen, 1991). Several researchers highlighted the impact of price, quality and value in the shopping behavior and product choice (e.g. Sawyer and Dickson, 1984). Large numbers of studies related to consumer decision have a positive influence on attitude towards organic products which in turn has positive impact on purchase intention (e.g. Michaelidou and Hassan, 2008). In spite of attitudes, factors that can induce a consumer to make effort based on perceived values and interest about organic products have to be considered as a potential force in the buying decision of organic products.

    “Human behaviors are value driven” (Chen, 2017, p. 3). Organic product-related cognitions determines organic consumptions (Hughner et al., 2007) and product familiarity shapes the use evaluations appropriateness (Jaeger et al., 2005). Consumers go through direct or indirect experiences about organic products and on the basis of that, consumers may have positive perception about perceived value in different spheres. Their increased organic products familiarity may enhance their opinion about perceived value of organic products. Radman (2005) reported consumer groups even have more positive attitude towards organic food and are willing to pay higher price. Sweeney and Soutar (2001) supported that, if consumers’ perception of a product is valuable they would most likely willing to buy the product at a premium price. Grubb and Grathwohl (1967) reported that to obtain positive opinion from social peers, they may engage in behavior including making purchases. Hollebeek and Chen (2014) supported perceived values as antecedents of consumers’ engagement of behaviors. Asshidin, Abidin and Bohran (2016) also support perceived value as the direct antecedent of a purchase decision. Thus the following hypotheses are formulated:

    H1: Organic products familiarity is positively associated with quality.

    H2: Organic products familiarity is positively associated with emotional value.

    H3: Organic products familiarity is positively associated with price value.

    H4: Organic products familiarity is positively associated with social value.

    H5: Quality is positively associated with purchase intention.

    H6: Emotional value is positively with purchase intension.

    H7: Price value is positively with purchase intension.

    H8: Social value is positively with purchase intension.

    Based on the foregoing review of literature, we propose the research model illustrated in Fig. 1.

    Ⅲ. Research Methodology

    To measure organic products familiarity (three items), the scale used by Du et al. (2017) was adapted. Perceived value about organic products was measured on the basis of quality, emotional, price and social dimensions. For measuring quality (four items), emotional value (five items), price value (four items) and social value (four items), we used the scale developed by Sweeney and Soutar (2001). Purchase intention (three items) was measured, using the scale developed by Michaelidou and Hassan (2008) and Lin (2007). Organic products familiarity, perceived value, and purchase intention were measured using a 5-point Likert scale measuring from strongly disagree (1) to strongly agree (5). To determine the content validity, two academicians were consulted and as per their suggestions, minor modification in the wordings of the questionnaire items was done. After that, a pilot study was conducted among twenty five students. The pilot study results confirmed the scale reliability and internal consistency of the items by a high Cronbach’s alpha value.

    The survey was conducted among university students. Researcher’s students and his colleagues’ students participated in the survey. Prior permission was taken from his colleagues to conduct the survey among their students. The questionnaire was prepared only in English language and distributed among students who are proficient in English language, thereby eliminating the necessity to translate the questionnaire to Korean. The purpose of research was explained by the researcher before the beginning of the survey and the students were assured that the information collected from them will not be used other than this research purpose. A total of 280 questionnaires were distributed and 235 questionnaires were used for analysis excluding the incomplete questionnaire.

    Structural equation modeling, with the maximum likelihood procedure was used to examine the latent variables within the casual structures. Following Anderson and Gerbing’s (1988) two step approach, the measurement model was first estimated by confirmatory factor analysis (CFA) to assess its adequacy and to examine the model fitness and test the casual relationships, structural equation modeling was employed. The model fitness of the conceptual model to the empirical data was assessed by chi-square (χ2) statistics, the goodness-of-fit index (GFI), the adjusted goodness-of-fit-index (AGFI), the normed fit index (NFI), the comparative fit index (CFI), and the root mean square of approximation (RMSEA). For each of those statistics except the RMSEA, values of 0.9 or higher indicate an acceptable fit, and RMSEA values of up to 0.08 indicate an acceptable fit to the data (Hair et al., 2006).

    Ⅳ. Results and Discussion

    1. Demographic profiles

    The majority of the respondents (Table 1) were female (60%) compared to that of male (40%). Among the respondents, 51.9% of the respondents were from the age group of 21-25 followed by 16-20 years of age (39.1%). Most of the respondents were from Korea (86.8%) and the rest were from other countries. Of the respondents, 86% of them were pursuing under graduate degree and the rest of the respondents were enrolled for graduate and above degree. 57.9% of the respondents were from social science major, 27.2% of the respondents were from science major and the rest of them were from arts major. 62.1% of the respondents were using organic products less than a year.

    2. Measurement model

    SPSS 24 and AMOS 23 module softwares were used to analyze the empirical data. The measurement model was evaluated by using CFA (Table 2). The Cronbach’s α value of all the factors were above 0.76, which is higher than the minimum cutoff (0.7). As shown in Table 3, the composite reliability (ranging from 0.864 to 0.901) was much higher than the suggested value of 0.7 (Hair et al., 1998). The average variance extracted (AVE) of constructs (ranging from 0.627 to 0.749) were higher than the minimum accepted value of 0.5 (Bagozzi and Yi, 1988). All the variables’ factor loadings were well above the minimum accepted value of 0.5 with the high AVE of the latent constructs thus confirming convergent validity (Fornell and Larcker, 1981). The discriminant validity (Table 4) is also confirmed, as the AVE is also greater than the squared correlation of each construct.

    3. Structural equation modeling and hypothesis testing

    The result of structural equation model (Fig. 2) shows good model fit. The fit indices were χ2 = 422.12, p < 0.001 and the d.f. = 286 which is less than the criteria of 3 (Hair et al., 2010). The GFI =0.911, AGFI= 0.907, CFI =0.923, NFI =0.912, and RMSEA 0.031 value indicates that there is no discrepancy between the hypothesized model and empirical data. As shown in Fig. 2, all the hypothesized relationships were positive and showing significant relationship except for the path quality towards purchase intention. The relationship of organic product familiarity towards quality (0.672, t = 6.722, p = 0.001), emotional value (0.791, t = 7.653, p = 0.001), price value (0.705, t = 6.972, p = 0.001) and social value (0.729, t = 7.079, p = 0.001) shows positive relationship and high significance. On the other hand, the relationship of emotional value (0.266, t = 2.965, p = 0.01), price value (0.378, t = 4.297, p = 0.001) and social value (0.262, t = 3.016, p = 0.01) towards purchase intention also shows positive and significant relationship. Therefore H1, H2, H3, H4, H6, H7 and H8 were supported and only H5 was rejected.

    Ⅴ. Conclusion

    Exploring the relationship between organic products familiarity, perceived value and purchase intention rarely received attention. The current study assesses the relationship between organic products familiarity, perceived value and purchase intention of organic products. The findings of this study confirm organic products familiarity is very important and plays an important role in assessing its perceived value that leads to the purchase intention of consumers. Specifically, this study focused on assessing the familiarity of organic products among young people. The results reveal that young people are aware about organic products and they are willing to purchase organic products in the future. The outcome of this study suggests promoting organic farming and the young generation is having favorable outlook towards organic products. Following are the main results of the study.

    First, the result of this empirical study shows that organic products familiarity positively affects perceived value that was measured under four different dimensions such as quality, emotional value, price value and social value. The perceived values of the respondents were dominated primarily by emotional value followed by social value, price value and quality with respect to organic products familiarity. As the emotional value and social value shows strong influence, apparently we may notice that young people have the moral and ethical obligations in their consumption behavior. Secondly, on the relationship between perceived value and purchase intention, only quality dimension showed insignificant relationship with purchase intention. This might be because of the difficulty by the consumers in differentiating and assessing the quality between organic and inorganic products. Price value followed by emotional value and social value were having strong influence in the purchase intention of organic products. Overall the study confirms the strong relationship of organic products familiarity, perceived value and purchase intention. Prior research supports the link between positive effect of organic product identification and purchase behavior (Bartels and Reinders, 2016). However this study addresses exploring the mediating influence of perceived value related to purchase intension. This study also helps to understand the purchase behavior of organic products especially among young generation, as the sample of our study were students.



    Proposed research model.


    Results of the proposed model.


    Descriptive statistics

    Results of confirmatory factor analysis

    Note : SD, Standard Deviation; SFL, Standard Factor Loadings

    CR, AVE and Cronbach’s α coefficients

    Note : ITC, item-to-total correlation; CR, Composite Reliability; AVE, Average Variance Extracted; α, Cronbach’s α.

    Discriminant validity of the constructs

    <sup>a</sup> Average Variance Extracted;
    <sup>b</sup> Squared Correlation;


    1. J.W. Alba , J.W. Hutchinson (1987) Dimensions of Consumer Expertise., J. Consum. Res., Vol.13 (4) ; pp.411-454
    2. J.C. Anderson , D.W. Gerbing (1988) Structural Equation Modeling in Practice: A Review and Recommended Two-step Approach., Psychol. Bull., Vol.103 ; pp.411-423
    3. N.H.N. Asshidin , N. Abidin , H.B. Borhan (2016) Perceived Quality and Emotional Value that Influence Consumer ?(tm)s Purchase Intention towards American and Local Products., Procedia Econ. Finance, Vol.35 ; pp.639-643
    4. I. Azjen (1991) The Theory of Planned Behavior., Organ. Behav. Hum. Decis. Process., Vol.50 (2) ; pp.179-211
    5. R. P. Bagozzi , Y. Yi (1988) On the Evaluation of Structural Equation Models., Journal of Academy of the Marketing Science, Vol.16 (1) ; pp.074-094
    6. J. Bartels , M.J. Reinders (2016) Consumption Apart, Together : The Role of Multiple Identities in Sustainable Behavior., Int. J. Consum. Stud., Vol.40 ; pp.442-452
    7. H.H. Bauer , D. Heinrich , D.B. Schafer (2013) The Effects of Organic Labels on Global, Local, and Private Brands: More Hype than Substance?, J. Bus. Res., Vol.66 (8) ; pp.1035-1043
    8. S. Bhaskaran , M. Polonsky , J. Cary , S. Fernandez (2006) Environment Sustainable Food Production and Marketing: Opportunity or Hype?, Br. Food J., Vol.108 (8) ; pp.677-690
    9. S. Burden (1998) Current Trends and Issues in the Retail Sector., European Venture Capital Journal, Vol.1 ; pp.1-5
    10. Y. R. Chen (2017) Perceived Values of Branded Mobile Media, Consumer Engagement, Business-consumer Relationship Quality and Purchase Intention: A study of WeChat in China Public Relations Review,
    11. S. Du , J. Bartels , M. Reinders , S. Sen (2017) Organic Consumption Behavior: A Social Identification Perspective., Food Qual. Prefer., Vol.62 ; pp.190-198
    12. M. Fishbein , I. Ajzen (1975) Belief, Attitude, Intention and Behaviour: An Introduction to Theory and Research., Addison-Wesley,
    13. C. Fornell , D.F. Larcker (1981) Evaluating Structural Equation Models with Unobservable Variables and Measurement Error., J. Mark. Res., Vol.18 (1) ; pp.39-50
    14. E. Ghazali , P.C. Soon , D.S. Mutum , B. Nguyen (2017) Health and Cosmetics: Investigating Consumers ?(tm) for Buying Organic Personal Care Products., J. Retailing Consum. Serv., Vol.39 ; pp.154-163
    15. E.L. Grubb , H.L. Grathwohl (1967) Consumer Self-concept, Symbolism and Market Behavior: A theoretical Approach., J. Mark., Vol.31 (4) ; pp.22-27
    16. J.F. Hair Jr, R.E. Anderson , R.L. Tatham , W.C. Black (1998) Multivariate Data Analysis., Prentice Hall,
    17. J.F. Hair Jr, W.C. Black , B.J. Babin , R.E. Anderson (2006) Multivariate Data Analysis., Pearson Prentice Hall,
    18. J.F. Hair Jr, W.C. Black , B.J. Babin , R.E. Anderson (2010) Multivariate Data Analysis., Pearson Prentice Hall,
    19. L.D. Hollebeek , T. Chen (2014) Exploring Positively Versus Negatively Valenced Brand Engagement : A Conceptual Model., J. Prod. Brand Manage., Vol.23 (1) ; pp.62-74
    20. R.S. Hughner , P. McDonagh , A. Prothero , C.J. Shultz , J. Stanton (2007) Who are Organic Food Consumers? A Compilation and Review of Why People Purchase Organic Food., J. Consum. Behav., Vol.6 (2-3) ; pp.94-110
    21. S.R. Jaeger , K.L. Rossiter , K. Lau (2005) Consumer Perceptions of Novel Fruit and Familiar Fruit: A Repertory Grid Application., J. Sci. Food Agric., Vol.85 ; pp.480-488
    22. M. Jannsen , U. Hamm (2012) Product Labelling in the Market for Organic Food: Consumer Preferences and Willingness- to -Pay for Different Organic Certification Logos., Food Qual. Prefer., Vol.25 ; pp.9-22
    23. B. Larsson , M. Andersson , C. Osbeck (2010) Bringing Environmentalism Home Childern ?(tm)s Influence on Family Consumption in the Nordic Countries and Beyond., Childhood, Vol.17 (1) ; pp.129-147
    24. M. Lenzen , J. Murray (2001) The Role of Equity and Life Styles in Education about Climate Change: Experience from a Large-scale Teacher Development Program., Can. J. Environ. Educ., Vol.6 ; pp.32-51
    25. H. Lin (2007) Predicting Consumer Intentions to Shop Online: A empirical Test of Competing Theories., Electron. Commerce Res. Appl., Vol.6 (4) ; pp.433-442
    26. M.G. McEachern , J. Willock (2004) Producers and Consumers of Organic Meat: A Focus on Attitudes and Motivations., Br. Food J., Vol.106 ; pp.534-552
    27. N. Michaelidou , L.M. Hassan (2008) The Role of Health Consciousness, Food Safety Concern, and Ethical Identity on Attitudes and Intentions towards Organic Food., International Journal of Consumer Studies, Vol.32 (2) ; pp.163-170
    28. D. Norman , L. Bloomquist , R. Janke , S. Freyenberger , J. Jost , B. Schurle , H. Kok (2000) The Meaning of Sustainable Agriculture : Reflections of some Kansas Practioners., Am. J. Altern. Agric., Vol.15 ; pp.129-136
    29. B. O’Mahony , A. Lobo The Organic Industry in Australia: Current Trends and Future Trends. Land Use Policy.,
    30. M. Radman (2005) Consumer Consumption and Perception of Organic Products in Croatia., Br. Food J., Vol.107 (4) ; pp.263-273
    31. T. Ramayaha , J.W.C. Lee , O. Mohamad (2010) Green Product Purchase Intention: Some Insights from a Developing Country., Resour. Conserv. Recycling, Vol.54 ; pp.1419-1427
    32. A.G. Sawyer , P.R. Dickson , K.E. Joez Research on sales promotion collected papers., Marketing Science Institute, ; pp.47-62
    33. Schifferestein and O. Ophius (1998) Health-related Determinants of Organic Food Consumption in the Netherlands., Food Qual. Prefer., Vol.9 (3) ; pp.119-133
    34. A. Singh , P. Verma (2017) Factors Influencing Indian Consumers ?(tm) Actual Buying Behavior Towards Organic Food Products., J. Clean. Prod., Vol.167 ; pp.473-483
    35. J. C. Sweeney , G. N. Soutar (2001) Consumer Perceived Value: The Development of a Multiple Item Scale., Journal of Retailing, Vol.77 ; pp.203-220
    36. E. Tsakiridou , K. Mattas , I. Tzimitra-Kalogianni (2006) The Influence of Consumer Characteristics and Attitudes on the Demand of Organic Olive Oil. Journal of International Food Agri., Bus. Mark., Vol.18 (3/4) ; pp.23-31
    37. G. Varshneya , G. Das (2017) Experiential Value :Multi-Item Scale Development and Validation., J. Retailing Consum. Serv., Vol.34 ; pp.48-57
    38. L. Vermier , W. Verbeke (2008) Sustainable Food Consumption among Young Adults in Belgium: Theory of Planned Behavior and the Role of Confidence and Values., Ecol. Econ., Vol.64 (3) ; pp.542-553
    39. M. Yazdanpanah , M. Forouzani (2015) Application of the Theory of Planned Behaviour to predict Iranian students ?(tm) intention to purchase organic food., J. Clean. Prod., Vol.107 ; pp.342-352
    40. V.A. Zeithaml (1988) Consumer Perception of Price, Quality and Value: A Means-End Model and Synthesis of Evidence., J. Mark., Vol.52 (July) ; pp.2-22