Consumer Attitude towards the quality of Perishable Foods in Dhaka City: An Empirical Study

 

Muhammad RehanMasoom1, Syed Habib Anwar Pasha2, S.M. Asif-Ur-Rahman3

1Assistant Professor, School of Business & Economics, United International University, Dhaka Bangladesh

2Assistant Professor, Faculty of Business Administration, Eastern University, Dhaka Bangladesh

3Assistant Professor, School of Business & Economics, United International University, Dhaka Bangladesh

*Corresponding Author E-mail: rehan_1611@yahoo.com; pasha99mkt@gmail.com; asifrazib@yahoo.com

 

ABSTRACT:

The expansion of global food retailers in emerging economies has made the study of the consumers’ attitude towards perishable food especially relevant at this time. Recently, as competitors of Kaccha Bazaar (flea markets), a lot of supermarkets have made arrangement for selling perishable foods, though at the same time posing a high level of uncertainty and unpopularity regarding overall food quality. This research tries to measure attitudes of consumers of perishable foods on the basis of the propositions advanced by various thinkers like Fishbein (1963), Katz (1960), Cohen (1964) and Kelman (1964). The study formulated a survey to collect information regarding factors like color, tenderness, spot, damage, physical dirt and water-wash for leafy vegetables; color, size, outer-shell, taste, smell and hardness for fruity vegetables; color, belly, smell, source, cold-storing for fish; and color, fat, presence of dirt, bone, moisture and origin for meat. Collected data were analyzed in terms of factors like importance, expectation and perceived actual level of value. It is found that damage-freeness for the leafy vegetables, taste for the fruity vegetables, smell of fish and color and moisture for meat are playing most crucial roles as deciding factors for consumers to purchase them.  Finally, the study shows the gap between the expectation and perceived actual level of value in terms of types of perishable foods involved. 

 

KEYWORDS: Perishable foods, Attitude, Super market, Quality, Importance, Expectation, Perceived quality.

 

 


1.0 INTRODUCTION:

In recent years, consumers have shown their high concern about safety, quality and health issue in case of choosing and consuming foods, more specifically, perishable goods. According to Darby and Karni (1973)1 quality is commonly categorized into search (e.g., appearance), experience (e.g., taste) and credence (e.g., healthy, organic, etc.) dimensions. The number of new products that have failed in the marketplace, coupled with falling brand loyalty, has created awareness among buyers of their power as they do not just passively receive the choices offered by sellers (Grunert, 2002)2.

 

Today’s modern consumers not only want food products to be of high quality, but also to meet health, safety and environmental attributes. As income increases, food consumption also changes, and consumers become more demanding in terms of the quality and safety of the products (Grunert, 2002)3. They are also demanding consistency and value for their money.

 

In addition, consumers are becoming increasingly characterized by being health conscious and more aware of the impact of their food choices on their well-being (Gilbert 2000; IFIC 2000)4. Vegetables and fruits are more and more recognized for their benefits towards healthy living (Cox et al. 1996). Furthermore, consumers now recognize their influence over products and stores. Therefore, it is important to understand consumer needs and preferences so that retailers and suppliers can better anticipate the changes that may happen in the future. As mentioned by Jacobs et al. (2007)5 consumers’ choices are unlimited and they expect more in terms of performance, quality and choice.

 

Food quality is determined in large part by a food’s environment, from product packaging to consumers. Events that occur while food is in the distribution system can adversely impact quality. These events could be the result of random shocks, such as power outages, or negligence on the part of employees who improperly store, refrigerate, or handle food products in distribution. In short, there are numerous circumstances that can create a situation where a fresh product may go out of temperature compliance. Generally, color, odor, and texture are indicators of a product’s environment, and consumers can use these indicators to infer overall product quality. However, sometimes a product’s packaging prevents the consumer from fully employing conventional freshness identification (Lewis 2002)6. Food attributes that offer value to the consumer through good health, sound environment, and ethical treatment of people and animals are becoming more important (Ragaert et al. 2004)7. In addition, information about attributes of the systems that are used to produce the food (e.g., information about environmental and ethical impacts) is increasingly becoming important as these influence consumers in deciding what foods to consume. Consequently, there is a need for research that would provide an additional way for consumers to assess the quality of fresh food products.

 

Perishable goods marketing, according to the needs and demands of the customers have become the colossal taskof the marketer because of its inherent features.  Brody (2008)8 reports that approximately 15 percent of perishable goods spoil before they can be sold. Retailers could reduce food waste and keep food prices low by using the freshness indicator to help control and monitor inventories. They could stock products that have been subject to a small amount of time or temperature abuse first, therefore, reducing product loss. In addition, the indicators of identifying perishable good freshness may help consumers make better decisions about storage of fresh food products in the home environment and thereby reduce food waste. As cited by Brody (2008)9, a 2004 USDA report concludes that households throw away 40–50 percent of edible food, valued at nearly $50 billion. Hence, ensuring quality in perishable goods seems to be almost unfeasible.

 

Perishable food scares during the past fifteen years, including salmonella in milk, have precipitated health concerns among consumers (Tslros andHeilman, 2005)10. These researchers found that consumers who perceive a high level of risk in perishable products checked the expiration date more frequently than consumers who did not perceive a risk. Some consumers recognized the seriousness of using out-of-date products, but did not always pay careful attention to expiration dates because they lacked information concerning the meaning of the dates (Harcar andKarakaya, 2005)11.

 

Quality assessment of highly perishable Agri-products appear to be very finely balanced due to either the foodstuff’s propensity for rapid degradation or the difficulty in evaluating its sensory characteristics. To meet the urban market demand, producers and processors of perishable foods are continually challenged by the cultural and technical processing practices. Many intermediaries currently operate between producers and consumers. However, it is getting more difficult for consumers to identify the product’s origin and to be sure that it was correctly processed according to traditional hygiene rules and household culinary arts. All of these conditions, as well as other factors – the increasing gap between supply and demand, price hike, media-supported information on food poisoning, lack of means for quality control and inadequate measures against adulteration – make urban consumers feel more suspicious about agro-food products which are sold in the markets of cities. Therefore, assessing consumers’ attitude towards these specific kinds of food stuff may be of high significance to the producers and processors in relevant businesses.

 

1.1 Literature Review

The problem that the study is concerned about having many similarities to a firm's product line decision. A firm producing a single product and selling it in a market with an unknown demand often ends up with unsold products when demand turns out to be lower than expected. These products can be carried as inventory into the next period, but in the case of perishable products, the unsold products suffer quality deterioration and become a partial substitute for new (fresher) products. Thus, the firm's decision to carry inventory or not turns into a product line decision as the firm must now consider the effect of potential future cannibalization on the original product line. Cannibalization poses an immediate problem of introducing products with different qualities, as some products may serve as partial substitutes for others and consumers usually will choose the product that maximizes their utility.

 

A major difference between the perishable and durable goods is that in the case of durable goods, what a firm sells in the first period competes with products produced in future periods. What a firm doesn't sell in the first period may be carried over to compete with the firm's new units in future periods.

The super-market or hypermarket has become a symbol of modernization after mid 1980s. It has dramatically changed not only the traditional retailing structure, but also the consumption behavior of modern human. To understand the impact of hypermarkets, Farhangmehr et al. (2001)12 used two questionnaires, one for consumers and the other for traditional retailers. The results showed that, for consumers, the hypermarket is the preferred type of retail store due to practical convenience and lower prices. The perception of traditional retailers is that the hypermarkets affected them negatively.

 

Goldman et al. (2002)13 present a framework to analyze limitations to growth of market share of retail formats based on consumer segments and product category. Food retail modernization is then examined in Hong Kong. In a 1995 diagnostic study, researchers found that geographic and economic segment diffusion of supermarkets is complete, but that product category-dependent diffusion (specifically perishables) is not. The latter, thereby, becomes the major restriction on supermarket share gain. In 1999, a second study measures the impact of the introduction of superstores, a large modern format, on the perishable restriction to modern format share growth. Consumers perceived superstore perishables to be superior to flea markets’, but these views had little impact on the ability of modern format markets to wrest additional share from traditional markets. They discussed diagnostic and monitoring applications, and extensions of the approach to other retail contexts.

 

The vast majority of consumers is dissatisfied with their shopping environment, according to a major new study from Capgemini.com. A study titled “Future Consumer: How Shopper Needs and Behavior Will Impact Tomorrow’s Value Chain,” finds that in some areas, such as the purchasing of perishable goods, over 90 per cent of those surveyed clearly indicated that their shopping environments need to be changed. According to the study, retailers and consumer product manufacturers need to better understand consumer expectations and must address key issues such as health, wellness and affordable sustainability. They must also take into account major trends such as the increasing use of the online channel and the growing demand for on-site services to better address consumers’ needs. Capgemini surveyed more than 2,000 consumers in four countries (UK, France, the Netherlands, and the United States). Their study indicated that today’s consumers are becoming more demanding. According to their findings, between 80 to 90 percent of consumers (depending on the product category) are not satisfied with stores (both brick-and-mortar and online). Moreover, most mentioned shopper concerns related to things like product issues (quality, availability), accessibility and navigation, packaging and information labeling (for example, in relation to health and wellness) as well as price perception. 85% of consumers named health as their most important concern over the coming years. Sustainability was also rated by many as extremely important to future buying decisions.

 

Thus, there are studies that are concerned with perishable foods, their quantity, price, and distribution. Most of the studies are concerned with the supply-chain and the process of distribution, whereas there is hardly any study that shows the customer’s perception and attitude towards the quality of perishable food. For long, the study of perception and attitude belong to the arena of psychology, but recently there has been a trend to understand this psychological process to interpret consumers’ behavior from a marketing point of view. Consumer behavior is the black box that is to reveal with certain systematic procedure. Existing studies regarding the consumers’ attitude tend to ignore the attitude towards perishable food that resulted in the lack of relevant studies regarding this particular research.

 

1.2 Objectives of the Study

Retail market of perishable food is very dynamic and highly competitive due to the expansion of foreign retailers investing capital to catch up with rising competition in the long run and diversifying strategies to meet demand of price-conscious consumers. A proper understanding of the attitude of consumers to the quality of perishable food (Vegetable, fish and meat) can play a key role as a strategic tool for food retailers to increase competitive advantages. It is for this that it can control the performance of partners in the whole chain. Interestingly, supply chain management plays an important role in controlling food quality and safety. This research studied overview of supply chain concepts in developing countries and consumer perception and their buying behavior of perishable food in a Shopping Mall and Kaccha bazaar in Dhaka city.

 

The study focuses on the quality of Vegetable, fish and meat (VFM) available in the market. It will identify the following:

1.      The importance of the parameters for VFM attached with quality.

2.      The quality parameters for VFM evaluated by the consumers.

3.      The actual quality of VFM perceived by the consumers.

4.      The quality gaps prevailing in the market.

 

Finally, from the experience of this study, some recommendations will be made which might be helpful for perishable food producers and processors to enhance its competitive advantages in the food retail market.

 

2.0 THEORETICAL FRAMEWORK:

Attitudes represent the feelings of favorability or unfavorability toward an object, person, issue, or behavior. Formally, attitude is defined as “a lasting general evaluation of something - it has knowledge of that something, liking or disliking, and the strength of the feelings.” Consumers learn these attitudes over time by being exposed to the object directly (experience) or through receiving information about the object (e.g., advertising). Attitudes serve as general guides to overt behavior with respect to the attitude object, giving rise to a consistently favorable or unfavorable pattern of response.

 

Fishbein’s (1963)14 attitude theory, perhaps, has the greatest influence on consumer attitude research over three decades. According to Fishbein, attitude is an independent measure of affect for or against the attitude object, which is a function of belief strength and evaluative aspect associated with each attribute. Fishbein drew his support for this proposition from behavioral learning theory. Simply stated, his contention was that an attitude toward an object is more or less automatically learned as one learns about the object itself. That is, when one learns about a new product, that learning occurs in the form of beliefs about product attributes. Therefore, Fishbein’s attitude theory captures how beliefs, attributes of a certain object lead to the attitude toward that object.

 

In contrast, some theorists conceptualize attitude in a different way; sometimes they regard attitude as something latent rather than an expressed behavior. Green (1953)15 stated that any attitude is a hypothetical or latent variable rather than an immediately observable variable. It is, in other words, an abstraction. According to Green, the concept of attitude does not refer to any one specific act or response of an individual, but it is an abstraction from a large number of related acts or responses. Campbell (1950)16 defines an individual’s social attitude as an enduring "syndrome of response consistency with regard to a set of social objects." According to Katz (1960)17 attitude  is  "the  predisposition  of  an individual  to  evaluate  some  symbol  or  object or  aspect  of  his  world  in  a favorable or unfavorable manner." .  Arthur Cohen, in writing about the group as an important source of attitude change, states that "Many research findings which show that members of  a group  resist communications that run counter to the norms and values of the group  and  accept  those  sanctioned by it can be interpreted in terms of  social  approval  or  disapproval (1964:40)18." According to him, a favorable attitude to the group may be value-expressive since group gives the individual a sense of identity.

 

From the above discussion, it can be contended that attitude is a two-part concept: when measured, it involves attitude direction and attitude intensity. Direction is the evaluative component and it reflects performance on a given dimension. Direction is often measured using a 5 point Likert scales that range from Delight to Failure, Like to Dislike, or Excellent to Poor. On the other hand, Intensity of attitude is the important component which reflects that some attitudes are held more strongly than others. Important is often measured using a 5 point Likert scale that ranges from ‘Very Important’ to ‘Not at all Important’. The key to proper measurement of attitudes is to combine the evaluation and importance measures so that the importance scores weight the evaluation measures.

 

3.0 METHODOLOGY:

The present study investigates consumers’ attitude towards the quality of perishable foods in the context of Dhaka city. Studying the attitude of consumers about the perishable food requires a proper description of the overall situation of customers’ expectation and perceived quality that is available in the market place as a whole. Thus, it is a descriptive research design to explore the attitudes of the consumers about the perishable food. Hardly any previous research was found out regarding this area of study, which resulted in lack of data that are supportive to delineate the survey population. For that, the research requires primary data to investigate the research problem. To collect data from the primary sources, surveys on the consumers was doneusing a structured questionnaire.

 

To investigate the research questions, information was gathered from the customers of different Shopping Malls and Kaccha Bazaars of Dhaka city. In this study, only the buyers of perishable foods in Dhaka city were considered. All participation was voluntary. Respondents were selected from among customers who were willing to complete the questionnaires while visiting the shopping malls and kaccha bazaar.  The sampling frame of this research includes the customers of Shopping Malls and Kacha bazaar who buy perishable foods (vegetable, fish and meat).

 

The research was conducted using non-probability sampling. Implying sophisticated statistical analysis with the data collected from the field was not possible because of lack of randomization. Therefore, judgmental sampling technique was employed. The sample size of the research reached 100 respondents. This sample size roughly represents one million respondents (95 % confidence level, 10 confidence interval).

 

The questionnaire considered four different types of perishable food as the subject to be analyzed- the leafy vegetables, the fruity vegetables, fish, and meat. There are certain factors involved with every type of food. The questions were set to ask three responses from each factor of four different perishable foods. The responses contain as the level of importance, the expectation level and the actual perceived level that the respondents were getting from the market.

 

For data analysis, SPSS Version 12 was utilized because it offers greater flexibility in data analysis and visualization. The data are presented in accordance with the importance of factors, the expectation and perceived actual value that they are getting while buying perishable food.

4.0 CONSUMERS’ ATTITUDE TOWARD PERISHABLE FOOD:

The consumer’s response to perishable food is the primary driver for establishing and delivering acceptable quality Agri-products to the market. One useful measure to establish whether the appropriate quality has been adopted and what criteria are playing the crucial role, the actual value that they are getting, what they expect and the relative importance of what they receive can be considered as basic information required. The study explored the factors that are vitally important while consumers are talking decision of buying leafy vegetables, fruity vegetables, fish and meat.  These factors are given below:

 


 

 


The study explores that all factors are not equally important for all kinds of perishable food, some are highly important as a criteria, whereas some others are to be expected at the best level of availability. Sometimes, it differs that consumers, giving importance of certain factor is low, but the expectation is very high. There is a difference between the level of expectation and the actual value that they are getting from the market. While constructing the scale of values, the study considered that from 1 to 7 on the rating scale is low, 8 or 9 is medium and 10 is high.

 

4.1 Leafy Vegetables

Table 4.1 shows the most important factor for buying leafy vegetables is damage-free. More than half of the respondents (55%) consider damage-freeness is their highest priority. Among the other factors, the presence of dirt is very important as well, exactly half of the respondents consider this as their most important priority. Some other factors like color and tenderness is relatively high to be considered, 46 % respondents consider color as their highest priority, whereas 43 % respondents consider that tenderness is their highest priority. Surprisingly, water washed is not very important for the consumers, 31 % consumers consider that water washed is their low priority, whereas another 34 % give that as middling priority, and almost the same number of respondents, 35 % consider this as their highest priority.

 


 

Table 4.1 Weighted values of factors of leafy vegetable (In percentage)

Level

Color

Tenderness

Spot

Damage

Presence of  Dirt

Water washed

Low

13.0

19.0

31.0

23.0

30.0

31.0

Medium

41.0

38.0

28.0

22.0

20.0

34.0

High

46.0

43.0

41.0

55.0

50.0

35.0

Total

100.0

100.0

100.0

100.0

100.0

100.0

 

Thus, factors like color, tenderness, spot, damage-freeness, the presence of dirt and water-washed are not equally important to the customers, some factors are more important than others. Respondents consider that damage-freeness is the most important factor while they are buying leafy vegetables. On the other hand, water-washed leafy vegetables are moderately important while they are going to buy this.

 

Table 4.2 shows that there is a low tolerance level of damage; most of the respondents, 59 % expect that the leafy vegetables should be totally damage-free. While considering the presence of dirt, 56 % expect highly that there would be no dirt at all and 53 % of the respondents consider that the leafy vegetables should be properly water-washed. Surprisingly, tenderness does not seem as a factor that consumers expect to be at its best, 32 % set low expectation level for the tenderness of leafy vegetables. There is a medium expectation level of color, more than half (46%+9% = 55%) of the consumers expect moderately light color. Surprisingly, a lot of people, 42 % set their expectation level of spot at medium.

 

Table 4.2 Expected value of factors of leafy vegetables (In percentage)

Level

Color

Tenderness

Spot

Damage

Presence of  Dirt

Water washed

Low

9.0

32.0

15.0

6.0

13.0

20.0

Medium

46.0

29.0

42.0

35.0

31.0

27.0

High

45.0

39.0

43.0

59.0

56.0

53.0

Total

100.0

100.0

100.0

100.0

100.0

100.0

 

Thus, the consumer expects highly that the leafy vegetable should be damage-free, there would be hardly any dirt and it should be water-washed properly.    

 

Table 4.3 Actual value of factors of leafy vegetables (In percentage)

Level

Color

Tenderness

Spot

Damage

Presence of  Dirt

Water washed

Low

73.0

84.0

93.0

84.0

81.0

78.0

Medium

23.0

16.0

7.0

16.0

19.0

22.0

High

4.0

0.0

0.0

0.0

0.0

0.0

Total

100.0

100.0

100.0

100.0

100.0

100.0

 

Consumers complain mostly for the spot at the leafy vegetables. Table 4.3 above shows that overwhelming majority, 93 % of the respondents think that the actual value they are getting in terms of spot-freeness is low. There are 84 % respondents who consider that they are receiving low level value in terms of tenderness and damage-freeness. Near about one-fourth to one-fifth of the respondents thinks that the value that they are actually getting in terms of factors like color and water-washed is medium. That is they are getting moderate color of leafy vegetables.

 

Thus, spot, followed by tenderness, damage and presence of dirt are the factors that most of the respondents consider as available with low actual value. 

 

Therefore, damage-freeness is the most important factor while they are buying leafy vegetables, whereas they highly expect that it should be damage-free, there would be hardly any dirt and it should be water-washed properly. However, they most of the respondents are complaining about low available value of spot tenderness, damage and presence of dirt.

 

4.2 Fruity Vegetables

Table 4.4 shows that 77 % of the respondents prioritize taste as highly important a factor while buying fruity vegetables.  They give second most priority to smell, 65 % of the respondents consider this as their medium priority. Among the other factors color is somewhat important to them. Almost half (49%) of the respondents attach high priority to color. Noticeably, 40 % of the respondents give medium priority and only 11 % give low priority to color. On the other hand, most of the respondents give medium to low priority to other factors like size, outer shell and hardness of fruit-vegetables. However, 36 % of the respondents give low priority and 42 % give medium priority to hardness. Only 22 % give high priority to this (hardness) criterion.

                             

Table 4.4 weighted values of Factors of fruit-vegetables (In percentage)

Level

color

Size

Outer Shell

Taste

Smell

Hardness

Low

11.0

27.0

28.0

7.0

9.0

36.0

Medium

40.0

48.0

41.0

16.0

26.0

42.0

High

49.0

25.0

31.0

77.0

65.0

22.0

Total

100.0

100.0

100.0

100.0

100.0

100.0

 

Thus size, hardness and outer shell of fruity vegetables are not as important as taste, smell and color. Taste is the most important factor to consumers while buying fruity vegetables. Respondents give moderate importance to color. On the other hand they give least importance to hardness of the fruity vegetables.

 

Consumers do not expect all factors such as color, size, outer shell, taste, smell and hardness of fruity vegetables would be very appropriate. Table 4.5 shows that there is a higher expectation for some certain criteria, whereas some factors are not expected as such. Size is not expected to be very precise, more than half of the respondents, 53 %, expect moderately that size suppose to be accurate. The most important factors that the consumers expect to be best in taste and smell.The majority of the customers’ (68% for taste and 66% for smell) expectation of taste and smell is high. Hardness is a relatively less expected factor; only 28 % of the respondents expect this at the best. A lot of consumers, 41 % expect that color should be appropriate. Again, a lot of consumers, 43 % expect that outer shell should be accurate.

 

Table 4.5 Expected value of Factors of fruity vegetable (In percentage)

Level

color

Size

Outer Shell

Taste

Smell

Hardness

Low

12.0

21.0

17.0

2.0

4.0

24.0

Medium

47.0

53.0

40.0

30.0

30.0

48.0

High

41.0

26.0

43.0

68.0

66.0

28.0

Total

100.0

100.0

100.0

100.0

100.0

100.0

 

Thus, smell and taste are the factors that consumers consider as should be available at the best. Outer shell and color are the two other factors the customers expect with higher degree. Surprisingly, hardness is not being expected highly and there is a less expectation for accurate size of fruit-vegetables as well. 

 

Customers’ perception about the actual value they get from the perishable food that they are buying from the market place actually varies. Noticeably, there is a lowness regarding all the factors of fruity available in the market place.  From table 4.6, it can be said that the overwhelming majority, near about 80 % or so consider that they are actually getting low value in terms of color, size, outer shell and smell. Only 16 % consider that moderate hardness is available, and 84 % of the consumers consider hardness they are getting from the fruity vegetable is of low value.

 

Table 4.6 Actual value of Factors of fruity vegetables (In percentage)

Level

color

Size

Outer Shell

Taste

Smell

Hardness

Low

79.0

80.0

79.0

76.0

80.0

84.0

Medium

19.0

20.0

15.0

21.0

20.0

16.0

High

2.0

0.0

6.0

3.0

0.0

0.0

Total

100.0

100.0

100.0

100.0

100.0

100.0

 

Thus, consumers consider hardness, smell, size and taste that they are getting while they are buying fruity vegetables are at low level, whereas they consider outer-shell is relatively appropriate.

 

Therefore, it can be said that while consumers are buying fruity vegetables, they consider smell and color as very important and they expect two factors, smell and taste as suppose to be at the best. However, they are receiving low value for all these three (color, smell and taste) factors.

 

4.3 Fish

Table 4.7 shows that the most of the respondents (64%) give highest priority to the smell while buying fish. The second important criterion is the color of gill. More than half (52%) of the respondents give high priority to color of gill. It is also found that 32 %, 42 % and 26 % of the respondents give medium priority to color of gill, source and smell of fish respectively. The condition of belly is another concerned factor for consumers. Among the 100 respondents 43 respondents give high priority and 45 respondents give medium priority to the condition of the belly. On the other hand, the respondents give medium to low priority to the source and the way of storage of fish. Table shows that 31 % and 32 % of the respondents give minimum importance to the source and the way of storage of fish accordingly.

 

Table 4.7 Weighted values of Factors of fish (In percentage)

  Level

Color

Belly

Smell

Source

Cold Stored

Low

16.0

12.0

10.0

31.0

32.0

Medium

32.0

45.0

26.0

42.0

36.0

High

52.0

43.0

64.0

27.0

32.0

Total

100.0

100.0

100.0

100.0

100.0

 

Thus, the smell of fish is the most important factor for consumers when they buy fish. Secondly, they check the color of gill. The condition of belly is moderately important to them. However the other two criteria, source and the way of storage, are not so important to all the customers.

 

Table 4.8 Expected values of Factors of fish (In percentage)

Level

Color

Belly

Smell

Source

Cold Stored

Low

13.0

11.0

5.0

21.0

14.0

Medium

36.0

43.0

24.0

44.0

31.0

High

51.0

46.0

71.0

35.0

55.0

Total

100.0

100.0

100.0

100.0

100.0

 

The above table (table 4.8) shows that smell of fish is expected to be accurate to most of the respondents; 71 % of the respondents expect high accuracy and 24 % of the respondents expect moderate accuracy. However the table also shows that 46 and 35 % of the respondents seek high expectation for condition of belly and source of fish accordingly; which means consumers do not expect the condition of the belly and the source of fish to be very precise. Noticeably, 55 % of the respondents do not prefer frozen fish and 51 % of the respondents expect bright color of gill. Here it is also found that 46 % of the respondents expect that the fish should not be captured fish rather should be cultured.

 

Thus the consumers expect the smell of high quality fish should be accurate. They are also moderately concerned about the accuracy of the color of gill and they expect that the high quality fish should have bright red gill. More than half of the consumers expect non frozen fish. On the other hand, the condition of the belly and the source of fish need not be as accurate as other factors.                                                  

 

Table 4.9 shows that over-whelming majority, 95 % of the respondents think that the value they are getting from the market in terms of the source of the fish is very low. Again, a lot of respondents, 82 % consider that due to cold stored they are getting low value. One noticeable thing is that, there are  afew respondents (2%) consider that they are getting high value while judging color, smell, source and cold stored of the fish.  Near about one-fifth of the respondents perceived that the actual value of the fish while judging factors involve color, belly and smell is moderate.  No respondent believes that high value is being offered due to lack of hardness of the belly of any particular fish.

 

Table 4.9 Actual values of Factors of fish (In percentage)

Level

Color

Belly

Smell

Source

Cold Stored

Low

76.0

77.0

76.0

95.0

82.0

Medium

22.0

23.0

22.0

3.0

16.0

High

2.0

0

2.0

2.0

2.0

Total

100.0

100.0

100.0

100.0

100.0

 

Thus, the consumers perceive that they got very low value if they judged the source of the fish. This low value is also evident while they judged whether the fish is cold-stored or not. Some respondents consider that they get medium level values when they judge the fish in terms of color, belly, and smell. 

 

Therefore, the important factors while judging fish is the smell of the particular fish and the color of gill, whereas customers’ expectations centered around the source of the fish and how it is being preserved, like cold stored or not.

 

4.4 Meat

Table 4.10 shows that the highest percentages (56%) of the respondents give high priority to both the color and the cleanliness (presence of physical dirt) while buying meat. Noticeably, the second highest importance goes to the origin of the meat, since 39 % of the respondents prioritize it as high. On the other hand, other factors of meat like fat, bone and moisture are moderately important to the respondents. Among the respondents 42, 45 and 39 % prioritize fat, bone and moisture respectively as medium. The table also shows that quite a few numbers (36%) of the respondents give minimum importance to fat and moisture of meat, whereas only 12 and 19 % of the respondents give minimum importance to color and dirt respectively.

 

Table 4.10 Weighted values of Factors of meat (In percentage)

 Level

Color

Fat

Dirt

Bone

Moisture

Origin

Low

12.0

36.0

19.0

31.0

36.0

27.0

Medium

32.0

42.0

25.0

45.0

39.0

34.0

High

56.0

22.0

56.0

24.0

25.0

39.0

Total

100.0

100.0

100.0

100.0

100.0

100.0

                   

Thus it can be said that color and cleanliness of meat are two most important factors for consumers when they buy meat. Origin of meat is moderately important to them. However the other three criteria: the amount of fat, the amount of bone and the moisture are not as important as color and cleanliness of meat to consumers.

 

Table 4.11 shows that there are mixed responses regarding the expected value related to all criteria of judging any type of meat. One noticeable factor is this, more than half (61%) of the respondents expect that there would be no dirt while they are intended to buy meat. Exact half of the respondents’ expectation tends to be high while the judging factor is the origin of the meat. More than one-third of the respondents expect that moisture and bone suppose to be low, whereas exact one fifth of the respondents expect high value regarding these two factors. Only 15 % of the respondents expect a low value while the deciding factor is the color of the meat; this implies that color is an important criterion. Noticeably, near about half (46%) of the respondents are ready to accept a medium level of the presence of fat. 

 

Table 4.11 Expected values of Factors of meat (In percentage)

 Level

Color

Fat

Dirt

Bone

Moisture

Origin

Low

15.0

32.0

12.0

35.0

38.0

19.0

Medium

41.0

46.0

27.0

45.0

42.0

31.0

High

44.0

22.0

61.0

20.0

20.0

50.0

Total

100.0

100.0

100.0

100.0

100.0

100.0

 

Thus, it can be said that customers expect a high value while it is a matter of cleanness and they are ready to tolerate some bones and moisture. The origin of the meat, that is whether Indian or local, plays a crucial role as a deciding factor.

 

Table 4.12 shows that there is a lowness of perceived actual value regarding the factors like fat, bones, moisture and origin while the customers are intended to buy any sort of meat. The overwhelming majority of the respondents (91%) think that a low value is being provided concerning moisture. Fat is another factor that is being offered with a low actual value, 85 % of the respondents think as such. No respondents think that a high value is being provided while it is the moisture of the meat. Lots of respondents (86%) consider that they are getting low value because of the excessive bones. Near about one-third (29%) of the respondents consider that a medium value is being offered regarding color. Almost one-fourth (24%) of the respondents perceived that a medium value level is there concerning the origin of meat.

 

Table 4.12 Actual values of Factors of meat (In percentage)

 Level

Color

Fat

Dirt

Bone

Moisture

Origin

Low

69.0

85.0

70.0

86.0

91.0

74.0

Medium

29.0

12.0

27.0

12.0

9.0

24.0

High

2.0

3.0

3.0

2.0

0.0

2.0

Total

100.0

100.0

100.0

100.0

100.0

100.0

 

Thus, it can be said that consumers consider the low actual value while it is about the fat, bone and moisture of the meat. There are some customers who consider that color and origin of the meat are being valued moderately, and there is no one who perceived highly while it is the matter of moisture of the meat.  

 

Therefore, it can be said that the color and cleanness are the important criteria while judging meat and the customers expect cleanness with very high value level.  Color plays a crucial role a deciding factor but a low level of actual value is being provided.

 

5.0 MEASURING GAP BETWEEN THE EXPECTED VALUE AND PERCEIVED ACTUAL VALUE:

Not every time customers’ expected value meets the perceived actual value while buying perishable foods. However, there are certain differences from one customer to another regarding the gap of expectation and perceived actual value. Further, not every factor of each kind of food like leafy vegetables, fruity vegetables, fish and meat can meet the expectation with equal degree of satisfaction. Again, the factors vary in accordance with the type of food as well.

 

Measuring the gap involves an equation that consists of weighted value (i.e. importance), expected value and perceived actual value. The study uses the following formula while calculating the gap between expected value and perceived actual value.

Gap = (Expected Value – Perceived Actual Value) x Weighted Value.

 

That is, if the expected value and the perceived actual value became the same, there would be no gap. The responses varied from 0 to more than 70, and for certain readiness to meet the focus of the study, the values are being categorized into three levels. From 0 to 25, the gap is being considered as low; from 26 to 50 the gap is considered as a medium and for more than 51 it is labeled as high gap. Thus, the study can imply that the higher the gap, the higher that level of dissatisfaction whereas the low the gap the higher the satisfaction.  By doing this, the study can show the satisfaction level and thus can reach to the decision regarding the differences that the customers perceived value as their source of dissatisfaction.

 

Table 5.1 shows that the gap is lower while the color is the deciding factor about the leafy vegetables. However, the dissatisfaction is higher when it comes to the tolerance level of spot and damage. From table 5.1 it can be said that 53 % of respondents consider that the gap is less while the factors are tolerance level of spot and damage. It is very low while the factor is water-washed. Noticeably, 15 % of the respondents consider that there is a high difference between the expected and perceived actual value of water-washed. The gap between expectation and perceived actual value regarding the factor like tolerance level of damage is relatively moderate. 

 

Table 5.1 Gap between the Expected and Perceived Actual Level of Factors of Leafy Vegetables

 

 

 

Tolerance level of

 

 Level

Color 

Tenderness

spot

damage

presence of dirt

Water washed

Low Gap

65.0

60.0

53.0

48.0

56.0

51.0

Medium Gap

27.0

32.0

35.0

37.0

32.0

34.0

High Gap

8.0

8.0

12.0

15.0

12.0

15.0

Total

100.0

100.0

100.0

100.0

100.0

100.0

 

Table 5.2 shows that the gap is the lowest between the expected and actual value of the respondents when hardness is the deciding factor of fruit-vegetables. From the table it can also be seen that 65 % of the respondents states that the gap is moderately less when they consider the outer shell of fruit-vegetables. On the other hand, 43 and 38 % of the respondents consider that the satisfaction level is quite low for the factors like color and taste respectively. Noticeably 21 % of the respondents state that there is a huge gap between their expectation level and perceived actual level for the factor taste.

                             

Table 5.2 Gap between the Expected and Perceived Actual Level of Factors of Fruity Vegetables

 Level

Color

Size

Outer Shell

Taste

Smell

Hardness

Low Gap

51.0

61.0

65.0

41.0

39.0

70.0

Medium Gap

43.0

36.0

28.0

38.0

42.0

25.0

High Gap

6.0

3.0

7.0

21.0

19.0

5.0

Total

100.0

100.0

100.0

100.0

100.0

100.0

 

Table 5.3 shows that there is a higher gap between expectations and perceived actual value regarding smell of the fish. A large number of respondents (48%) consider that they are not very satisfied with the source of the fish that they are buying. Surprisingly, there is a less gap between the expectations and perceived actual value regarding cold stored, almost half of the respondents considered that level of gap is low about the cold stored factor. The higher dissatisfaction among the factors while buying fish is ‘smell’, 20% of the respondents consider that there is a high gap between the expectations and perceived actual value.  Noticeably, almost half of the respondents (47%) consider that the gap is low. 

 

Table 5.3 Gap between the Expected and Perceived Actual Level of Factors of Fish

 Level

Color

Belly

Smell

Source

Cold Stored

Low Gap

44.0

47.0

43.0

44.0

49.0

Medium Gap

43.0

42.0

37.0

48.0

35.0

High Gap

13.0

11.0

20.0

8.0

16.0

Total

100.0

100.0

100.0

100.0

100.0

 

Table 5.4 shows that the gap between expectation and perceived actual level is low regarding the factors like bone and moisture, followed by the presence of fat. More than half of the respondents belong to the low group while they are concerned with all factors related to buying meat.  However, there is a medium level of satisfaction regarding the factors like color, fat and presence of physical dirt, Near about 30% of the respondents belongs to the medium group of satisfaction concerning the factors like color, fat and presence of physical dirt while buying meat. Surprisingly, almost one-fifth of the respondents belong to the higher level of dissatisfaction while the concerning factor is the presence of physical dirt.

 

Table 5.4 Gap between the Expected and Perceived Actual Level of Factors of Meat

 Level

Color

Fat

Presence of physical dirt

Bone

Moisture

Origin

Low Gap

58.0

63.0

52.0

66.0

65.0

57.0

Medium Gap

35.0

30.0

30.0

31.0

29.0

32.0

High Gap

7.0

7.0

18.0

3.0

6.0

11.0

Total

100.0

100.0

100.0

100.0

100.0

100.0

 

Thus, the study found that there are certain factors that have a higher gap of expectation-actual level. Noticeably, there are a lot of respondents who are more or less satisfied with what they are getting from the market at the present condition. 

 

6.0 CONCLUSION:

Agro-based perishable food reaches to the urban market via a long process of chain mediations which results in a rise of middlemen that interfere in the process of marketing. This makes the farmers deprived of their desired profit. Thus, there is an unfair business deal goes on most Bangladeshi markets where both consumers and farmers are suffering. In response to this scenario, initiatives need to be taken to eliminate the influence of middlemen and provide perishable food to the urban market. For this, producers and processors alike require to know the consumers’ attitude towards the quality of the perishable goods. This study is formulated to make a comprehensive understanding of the attitude of the urban consumers and explore the factors involved in dealing with the perishable food of certain kinds. 

 

Lots of factors regarding the perishable foods like leafy vegetables, fruity vegetables, fish and meat are considered as the decisive criteria for buying that particular food. The study found that while consumers are considering leafy vegetables, damage-freeness is the most important. Again, size, hardness and outer shell of fruit-vegetables are not as important as taste, smell and color. Taste is the most important factor to consumers while buying fruity vegetables. The smell of fish is the most important factor for consumers when they buy fish. They also check the color of gill. The condition of belly is moderately important to the customers. Noticeably, the consumers perceive that they got very low value if they judged the source of the fish. Low value is also evident while they judged whether the fish is cold-stored or not. Some respondents consider that they get medium level values when they judge the fish in terms of color, belly, and smell. Color and cleanliness of meat are two most important factors for consumers when they buy meat. Origin of meat is moderately important to them. Some criteria like the amount of fat, the amount of bone and the moisture are not as important as color and cleanliness of meat to consumers.

 

Customers are very dissatisfied with the spot and damage while they are intended to buy leafy vegetables. There is a high difference between the expected and perceived actual level concerning the water-washed factor for leafy vegetables. However, they are more or less satisfied with the hardness and outer-shell of the fruity vegetables. On the other hand, consumers are not satisfied at all with the smell of the fish they are buying. For some respondents, the source is an important factor but not a large number of respondents consider that being stocked in a cold storage is unacceptable. Surprisingly, fat and bone for meat are not the matter of concern for the buyers. They are more focused towards the presence of dirt and color while buying any sort of meat.

 

Thus, it can be concluded that there are certain factors that are more important, expected with high value and a matter of concern for the level of perceived actual value. However, there are a lot of respondents who are more or less satisfied of what they are getting from the market at the present condition.


 

 


7.0 REFERENCES:

1.       Darby, MR and Karni, E (1973) “Free competition and the optional amount of fraud”, The Journal of Law and Economics, Vol. 16, pp.67-88.

2.       Grunert, KG (2002) “Current issues in the understanding of consumer food choice”, Food Science and Technology, Vol. 13, pp.275-285.

3.       Gilbert, L.C. 2000, “The functional food trend: what’s next and what American think about eggs”, Journal of the American College of Nutrition, Vol. 19, No. 5, pp.507-512.

4.       Jacobs, K, Heinemans, L and Donegan, (2007) Future consumer: how shopper needs and behaviour will impact tomorrow’s value chain, Capgemini report. .

5.       Lewis, C. 2002 “Food Freshness and “Smart” Packaging.” U.S. Food and Drug Administration FDA Consumer Magazine 36(5).Accessed 15 March 2015.

6.       Ragaert, P, Verbeke, W, Devlieghere, F and Debevere, J (2004), “Consumer perception and choice of minimally processed vegetables and packaged fruits”, Food Quality and Preference, Vol. 15, pp.259-270.

7.       Brody, A. (2008) “How Green Is Food Waste?” Food Technology 6: 121–126.

8.       Tslros, M., and Heilman, C. (2005) “The Effect of Expiration Dates and Perceived Risk on  Purchasing Behavior in Grocery Store Perishable Categories”,  Journal of Marketing,  69(2), 114-129.

9.       Harcar, T., and Karakaya, F. (2005) “A Cross-Cultural Exploration of Attitudes toward Product Expiration Dates”, Psychology and Marketing, 22(4), 353-371. doi:10.1002/mar.20063.

10.     Farhangmehr M., Marques S. and Silva J. (2001) Hypermarkets versus traditional retail stores — consumer and retailers’ perspectives in Braga: a case study”,  Journal of Retailing and Consumer Services 8: 189–198.

11.     Goldman, A., Ramaswami, S. and Krider, R. E. (2002) “Barriers to the Advancement of Modern Food Retail Formats: Theory and Measurement”’, Journal of Retailing 78:281-95.

12.     Fishbein, M. (1963), "An Investigation of the Relationships between Beliefs about an Object and the Attitude Toward That Object," Human Relations, Pp 233-240.

13.     Green,  Bert  F.  (1953)  "Attitude  Measurement," Handbook   of  Social  Psychology,  ed.  Gardner Lindzey, Vol. 1, p. 335.

14.     Campbell,  D.T.  (1950),"The  Indirect  Assessment  of Social  Attitudes," Psychological  Bulletin, Volume 47  pp.  15-38.

15.     Katz, D (1960) "The Functional Approach to -:he Study  of  Attitudes,"  Public Opinion  Quarterly, Volume 24, pp. 163-204.

16.     Cohen,  Arthur R. (1964) Attitude Change and Social Influence. New York: Basic Books.


 

 

Received on 26.04.2015               Modified on 01.05.2015

Accepted on 12.05.2015                © A&V Publication all right reserved

Asian J. Management; 6(3): July-Sept., 2015 page 181-192

DOI: 10.5958/2321-5763.2015.00027.X