The Effectiveness of Dual Branding in the Agricultural Sector Christo A. Bisschoff Hendrik P. Van Staaden Amareza Buys The study deals with the concept of a dual-branding strategy by investigating the market awareness of two brands: the Roundup herbicide, dekalb seed products and biotechnology traits and Montana sa. 281 respondents completed a tailor-made questionnaire. Descriptive statistics and a Varimax rotated factor analysis informed the data analysis. Reliability was verified by determining the Cronbach alpha coefficient. Currently, agreement exists between the two identities, but it could easily result in confusion; therefore, care should be taken. Regarding the brand dekalb, only one factor contributes to the brand image, namely dynamism. For Monsanto sa, two factors contribute to the organisation image, namely dynamism and visual identity. The research concludes that although brand identities are similar, the market views Monsanto sa more defined. Most importantly, the conclusion drawn is that dual branding in the marketing strategy influences corporate identity and image, and vice versa. Key Words: corporate identity; marketing strategy; dual branding; mono-branding; market awareness jel Classification: M30; M31; M39 Introduction If you want your brand to succeed in the real (versus imagined) marketplace, forget about your promises and start being paranoid, and strategic, about discovering, shaping and fulfilling people's expectations. If you don't know your point, your essence, your brand, you will usually confuse your audience (Asacker 2011,1). Dr Christo A. Bisschoff is Professor at the Potchefstroom Business School, North-West University, South Africa. Hendrik P. Van Staaden is Manager at the Potchefstroom Business School, North-West University, and Manager in Monsanto sa, South Africa. Amareza Buys is Researcher at the Potchefstroom Business School, North-West University, and Maneger in Pondera cc, South Africa. Managing Global Transitions 11 (1): 79-110 The debate followed in this article centres around corporate identity, how it leads to the forming of corporate image and how corporate identity and market strategy are related. Consequently, when the product brand name and the company name are the same, one could argue that the company can establish a consistency of image. Corporate identity confusion may exist between a corporate identity and a brand identity in the South African maize industry. Two brands were consolidated and are sold as one summer crop brand. Therefore, the changing face, the visual identity, and corporate brand changes may have transformed a corporate identity. Consequently, the question that looms large is: Will consistency be harder to maintain when it comes to dual branding (i. e. a product brand name is different from the company name)? However, Bouchikhi and Kimberly (2008, 21) advise that before one could decide, 'how much of an asset or liability your firm's identity might be, you first need to know precisely what identity is.' Since the early eighties, various authors (Skinner and Von Essen 1987; Abratt 1989; Stuart 1999; Abratt and Mofokeng 2001; Burrow 1991; Van Heerden, Schreuder, and Gouverneur 2000) have developed conceptual models of corporate image formation and corporate identity management. Stuart (1999, 201-4) identified four corporate identity models to assist in such identification, namely: • Kennedy's model, • Dowling's model, • Abratt's model, and • Stuart's model. These models reflect the way in which corporate identity and corporate image have been conceptualised over the past three decades. As a result, the Stuart model is a revision of the Abratt model and the main changes in the model entailed the inclusion of corporate culture and corporate symbols under corporate identity, the use of arrows to denote internal and external communication and the replacement of employees. The Stuart model retained the notion of the corporate identity and corporate image interface. 'Corporate strategy' is also included, resulting in the fact that corporate identity is the deliberate presentation of the corporate personality as strategically decided by the organisation (Stuart 1999, 204). Van Heerden (1993, 27) concludes that a corporation without a corporate identity strategy or those that want to change or revise their corporate identities could use the mentioned models as a starting point. Most importantly, Van Heerden (1993, 8) stated that corporate image begins with the public's perception of an organisation, and the preconceived ideas and prejudices that have formed in the minds of customers. This perception may not always accurately reflect a corporation's true profile, but to the public it is reality. In addition, Van (1993) and Van Heerden, Schreuder, and Gouverneur (2000,126) suggest that in the Burrows model of corporate identity (see figure 1), 'the process of establishing a corporate identity starts when a corporate personality is synthesised into a corporate identity, which creates the corporate image. The perceived total corporate image influences the corporate policies because opportunities are created for feedback and control. Corporate behaviour is included as part of strategy formulation in this model.' What became evident through this research is that the Burrows model does not feature culture or a variable in the corporate image formation process. The similarity in the different research (Skinner and Von Essen 1987; Abratt 1989; Stuart 1999; Abratt and Mofokeng 2001; Burrow 1991; Van Heerden 1993; Van Heerden, Schreuder, and Gouverneur 2000; Van Heerden and Badenhorst 2004) highlights the fact that every company has an identity, whether it recognises it or not. Consumer perceptions and attitudes are formed about a company before consumers actually purchase a product or service from that company. It is this positive positioning in the minds of consumers by the company that represents a powerful influence on building brand equity and consumer choice. The real question that needs to be faced is whether the organisation seeks to control that identity, or whether it allows the identity to control it so that it has entirely different images with all of its different audiences. With a view to assist, corporate identity, as an element of marketing strategy, was explored as well as the relationship between corporate identity and marketing strategy. More specifically, the objective was to analyse the individual brands for Monsanto sa's marketing team to shape the corporate and brand identity. The research data was collected directly from customers of Monsanto sa or South African maize production growers. 400 (200 Monsanto sa and 200 dekalb) questionnaires were distributed by Monsanto sa sales representatives (20 each) in different sales areas within the borders of South Africa. A satisfactory 281 (141 Monsanto sa and 140 dekalb) completed questionnaires were received back. The next section of this article will present the theoretical framework of the study under the headings: Monsanto sa historical overview; corporate personality; corporate identity; corporate image; and corporate branding. In an effort to address the underlying issue of confusing brands, the article utilised the Burrows model of corporate identity. Theoretical Framework MONSANTO SA HISTORICAL OVERVIEW Monsanto is an agricultural company that offers farmers more choices than any other company in the industry does. Monsanto is a leading global provider of agriculture products and systems sold to farming concerns. Today, Monsanto's biotechnology traits are being planted commercially or in test plots in all major agricultural regions throughout the world (Monsanto 2006). Grant (2006,1) argues that farmers around the world use Monsanto's innovative products to address on-farm challenges and to reduce agriculture's overall impact on the environment. Monsanto South Africa (pty) Ltd, a Monsanto company, is a leading local provider of agricultural products and integrated solutions that bring together chemicals, seeds, and biotechnology traits to improve farm productivity and food quality. Monsanto South Africa officially opened its offices in South Africa in 1992. Monsanto s a is uniquely positioned to help farmers produce more food to meet the demand by delivering crops with higher yield and greater value and lead healthier food options for consumers. They also provide local seed companies (the competition, such as Pannar and Pioneer Hybrid International) with genetic material and biotechnology traits for their seed brands. For more than 70 years, the dekalb flying corncob has represented outstanding yield potential that generates higher returns for farmers who grow dekalb corn. Today, in Monsanto sa, dekalb is the trademark in seed business. Appropriately, offerings include corn hybrid and sunflower hybrids. Monsanto sa decided to consolidate the two brands, Sensako and Car-nia, and to sell them under one summer crop brand, namely dekalb. The changing face ofMonsanto sa, the visual identity such as the corporate name and corporate brand changes, may have transformed the corporate identity of Monsanto sa. Therefore, the old brands, Sensako and Carnia, and now the new brand, dekalb since 2005, have created the need to revisit the corporate image ofMonsanto sa. The term 'corporate' implies larger businesses or institutions with many divisions and employees. However, within the context of this study, 'corporate' is utilised as a collective term for a structure of business (i. e. from very large to small one-person enterprises). Therefore, it is not intended as an indicator of business size. Furthermore, corporate does not govern corporate personality, corporate identity and/or corporate image, as only marketing challenges and the public's support in the form of sales vary from one business model to another. CORPORATE PERSONALITY Abratt (1989, 63-76) explains that every corporation has a personality, which is defined as the sum total of its characteristics. These characteristics are behavioural and intellectual and serve to distinguish one corporation from another. This personality is projected by means of conscious cues (e. g. corporate logo) that constitute an identity. Its vision, mission, direction, management style, corporate policy, ethos, history, employee mix, corporate objectives, and marketing communication style and approach create the personality of an organisation. This personality is the 'glue' that holds the organisation together (Dowling 1993,103). The set of characteristics of an organisation can be defined as the personality of the corporation, where personality, in turn, forms the corporation's identity. Similarly, Van Heerden (1993, 8) quoted Bernstein (1986, 40) by defining personality 'as the soul, the persona, the spirit, the culture of the organisation.' Van Heerden, Schreuder, and Gouverneur (2000) and Van Heerden and Badenhorst (2004) argue that a corporation could choose to manipulate its identity by managing a corporate identity programme. Image cannot be manipulated, because image is formed in the minds of target audiences. A case is made for corporate image later in this article. Abratt and Mofokeng (2001, 370) state that when an organisation is formed, a corporate personality realises. This corporate identify is determined by the functions, beliefs and operations of the organisation. In this regard, Kotler and Armstrong (2006, 284) mention that the personality of a brand could be compared with that of a person. An image of a person is formed based on the way that person communicates and behaves. For instance, if a Mercedes car was a person, that person's personality would fit a wealthy, middle-aged businessman. CORPORATE IDENTITY Corporate identity, according to Olins (1989,148), is concerned with expressing three separate yet interrelated themes. Firstly, the organisation wants to present itself clearly and comprehensibly and it wants its dif- ferent departments or sections to relate to one another so that a unified identity is portrayed to the market. Secondly, the corporation wants to symbolise its ethos, so that employees and customers can share in these values. Thirdly, the enterprise wants to differentiate itself and its products from those of its competitors. The three themes constitute coherence, symbolism and positioning. Consequently, corporate identity is the graphic and verbal representation of a company. It visually conveys the 'who' and the 'what' of the corporation. Olins (1989,29) argues that corporate identity is concerned with four areas of activity, namely product and/or service, environments, information and behaviour. Van Heerden (1993, 8) explained that the overall impression of a corporation is formed by audiences through cues, such as a logo, product and customer service, and therefore constitutes an image. CORPORATE IMAGE According to Marconi (1996, 3, 12), people's perceptions are based on what they know or think they know about a product or service, 'image is the reflection of people's perceptions.' Gregory and Hickmann (1998, 104) state that the company's image is most important. Consumer perceptions and attitudes are formed about a company before consumers actually purchase a product or service from that company. It is this positive positioning in the minds of consumers by the company that represents a powerful influence on building brand equity and consumer choice. An investigation by Van Heerden and Badenhorst (2004,16) into factors that determine the corporate image of South African banking institutions, led to the conclusion that 'corporate behaviour and corporate visual identity contribute to corporate image.' Van Heerden and Badenhorst (2004, 31) suggest that the following factors contribute to the process of corporate image formation: • customer service through positive social relations, • attractive visual signs, and • the perception that a corporation is dynamic. Some models of corporate image and corporate identity management have been recorded by different authors Stuart (1999; Balmer 2001; Van Heerden and Badenhorst 2004) in an attempt to develop conceptual thinking in the area of corporate identity management. These models are a useful tool to describe corporate identity and corporate image. Ac- cording to Stuart (1999, 201), the focus of the Kennedy model entails how the company image is formed based on the perception of the personnel of the company. Balmer (2001) argued that the principal focus of the Dowling model is the 'outside in' that accords particular emphasis to corporate image. The heart of Dowling's corporate image formation process is a corporate vision statement that affects the organisation's strategy and organisational culture. Balmer (2001) supported the Abratt model, and explained that this model is useful when attempting to integrate the problematic concepts of corporate personality, identity and image. This model has the objective of explaining the corporate image management process and adopts an 'outside in' focus (an image, reputation), rather than an 'inside out' (an identity, personality) focus. The Abratt model also introduced the concept of'corporate personality' (Stuart 1999, 204). According to Van Heerden (2004, 18), corporate personality, identity and image are elements of an interrelated process. Corporate personality leads to both corporate identity and corporate image, while corporate image influences the corporate reputation. A good example currently exists in the South African electricity supply market with the service provider Eskom. The name Eskom turned out to be 'Ek'sdom,' translated as being 'I am stupid, due to the shortage of electricity supply that results in unsatisfied customers. A familiar and once reliable brand name like Eskom became synonymous with failure. Similarly, based on such skewed perceptions, people buy, sell , vote , travel, invest and make major or minor decisions that govern their lives. corporate branding (logo) Varey (2002,153) identifies that a brand can perform a number of functions. There is general agreement in the marketing literature that a brand is more than the name given to a product. Chevalier and Mazzalovo (2004, 15) argue that a consumer chooses a brand for the specific qualities it offers and that the differentiation of the brand is part of the contract between two parties. The name and the logo present the mediation between the essential values of the company, its identity and the perceptions of customers. Branding can be described as marketing of the corporate identity and the creation of a specific product image. According to Van Heerden (2004, 18), the logo of the corporation 'serves as a mental switch that recalls an image in the eyes of the beholder' referring to both corporate identity and corporate image. In addition, Chevalier and Mazzalovo (2004, 93-9) state that brand identity is that what the brand means to the consumers. It constitutes the basis and the federating element of all the activities selected as being manifestations of the brand. A brand consists of and derives its essence from the variable perceptions it engenders among consumers to manage it well. A more precise initial definition of brand identity will be the capacity of a brand to be recognised as unique, over time, without confusion, thanks to the elements that individualise it. Moreover, Kotler and Armstrong (2006, 225) explain that 'a brand is a name, word, picture, term, symbol, sign, device design or a combination, to create a unique identity for particular products. A brand identifies a product to a seller and differentiates the product and/or from competitors.' Bouchikhi and Kimberly (2008,21) explained that the identity of a firm that makes and stands behind a product or service is becoming more important as the intrinsic attributes of that product or service, and that corporate branding enables leaders to use the firm's identity as a competitive weapon. Brand preference can be described as the brand those consumers or buyers prefer to other competing brands - a straightforward relationship between buyer and seller. Monsanto sa produces highly competitive products and the competing companies in the sa agriculture industry have become increasingly similar. Without a doubt, this means that the whole of the company's personality, its identity, will become the most significant factor in making a choice between one company and its products and another. Market research has shown that the dekalb logo is the second-most recognised agricultural logo around the world, surpassed only by John Deere (Monsanto 2006, 7). The logo debuted in 1936, and while many farmers were initially reluctant to pay the higher price associated with hybrid seed, dekalb's message to growers used the image of an ear of corn with two wings that could help lift a grower's mortgage by providing higher yields and increased profits. Over the years, the dekalb logo has been modernised, but the 'winged-ear' has remained a constant design element. According to a marketing communication session by Breytenbach (2008), the logo identity is a vital asset to Monsanto sa; it is the foundation for compelling their brand identity, which increased recognition and awareness to build their sales business. A brand is a wholly concocted creation that is devised solely to help sell and has no life of its own and the brand identity is aimed at one audience, the final consumer. On the other hand, company identity is aimed at many audiences, such as the final consumer, the trade, competitors, suppliers, local government, national government, trade associations, trade unions, the financial community, consumer associations, journalists, and its own employees of various kinds of different places. The brand identity only looks outside to its audience of consumers; the identity of the company, the corporate identity, looks both inside and outside at a wide spectrum of audiences with different views of attitudes and interest in the company (Olins 1978,121). Similarly, Duncan (2002, 52) warns: Corporate image is broader than brand image because branding only relates to the management of the identities of individual brands. When the product brand name and the company name are the same, the company can establish a consistency of image. When the brand name is different from the company name, consistency may be harder to maintain. THE BURROWS MODEL OF CORPORATE IDENTITY This study closely follows a similar research design of an earlier study by Van Heerden (1993; 2000; 2004). The semantic differential scale, which is used to measure corporate image in this study, is widely used in marketing research, as was the case in Van Heerden's research, through the Burrows model. Therefore, the Burrows model of the corporate was utilised (see figure 1). The Burrows model is an identity management process described through three distinct stages. • In the first stage of the model (called corporate personality), once the corporate mission is clear, management sets the overall business objectives. The next key part involves those activities designed to effect the strategic management of the organisation. Once this strategic management is clear, internal and external assessments can be evaluated to re-design the marketing strategy. The next area of corporate personality will be objective setting - policies synthesised into an integrated, desired total corporate image. The last key part of this model will be the competitor image research and analysis about the organisation. • The second stage of the model (called corporate identity) is the controllable determinants of corporate image, which are a subset of the strategy formulation for a sustainable competitive advantage related to corporate identity and behaviour. An interpersonal and corporate Corporate mission and objectives Strategic management External image assessment Internal image assessment Feedback and control Strategic formulatio Objective setting Competitor image analysis Implementation (5) (4) (3) (2) (1) Burrow's model of corporate identity (notes: (1) measured image dimensions, (2) perception not controllable by management, (3) main stakeholders group, (4) via interpersonal and corporate communication, (5) controllable determinants of corporate image; adapted from Van Heerden (1993, 29)) figure 1 communications philosophy will emerge, namely promotion strategies, corporate advertising, public relations and positioning strategy. • The final stage, stage three, is called corporate image. The image interface represents the point of contact between the various stakeholders and the company, and influences the stakeholders by means of the internal or external image experiences. The Burrows model of corporate identity (as adapted from Van Heer-den 1993; Van Heerden, Schreuder, and Gouverneur 2000; Van Heerden and Badenhorst 2004) is a useful tool to be discussed and to understand the process of how corporate image is formed from corporate identity. From the Burrows model, it is evident that personality is the 'glue' that holds the organisation together and that personality forms the corporation's identity. The model explains that corporate identity is the personality of the corporation that is designed to accord with and facilitate the attainment of the business objective. The perceived total image influences the corporate policies because opportunities are created for feedback and control. Everything the organisation makes and sells, everything it says, writes down or displays, contributes to the construction of its identity. This model is most useful as it attempts to integrate the problematic concept of corporate personality, identity and image. Therefore, the researchers argue that the Burrows model could be used as a starting point by corporations who want to change or revise their corporate identities. This next section of the article will explain the research methodology. Methodology The primary objective of the empirical investigation report in this dissertation will be to determine the role that the corporate logo, as an element of the corporate identity mix, plays in the corporate image of maize farmers in the South African agriculture industry. Does the corporate logo serve as a 'mental switch' or stimulus to create a corporate image in the minds of respondents? The first secondary objective is to compare comparable corporate image factors identified in the 1993 study of South African banking institutions by Van Heerden (1993,117) against the agricultural industry. The second secondary objective is to evaluate the research findings from the viewpoint that corporate image is not only formed by visual identity, but also by behavioural identity. RESEARCH HYPOTHESES The research hypotheses for this study are: h 0 Confusion in the market exists between the corporate name Monsanto sa and the brand name dekalb. h a Confusion does not exist in the market between the corporate name Monsanto s a and the brand name dekalb. h 1 Monsanto s a has a stronger corporate identity in the agriculture industry than dekalb. h2 dekalb has a stronger corporate identity in the agriculture industry than Monsanto sa. A semantic differential scale was used as research instrument. The development of suitable items was included in the semantic differential, employing a factor analysis to evaluate the data collected. The semantic differential scale that was used to measure corporate image in this study is widely used in marketing research. Qualitative Research Qualitative research was conducted by means of discussions with the Monsanto s a marketing team. The objective of this discussion was to identify factors of importance within the Monsanto s a maize seed agricultural sector. The focus group consisted of seven Monsanto s a sales managers, including the ceo responsible for sixty sales representatives in all maize production regions of South Africa. Following the focus group discussions, an open-ended interview questionnaire was discussed with each participant in order to capture their views regarding the success factors in the marketing of maize seed in the agricultural sector. This part of the research study was performed during June 2008, and played an important role in the identification of the criteria that were used to construct the measuring instrument. Quantitative Research Using the gathered information collected from the discussion group, a structured questionnaire with 32 factors was drafted. The questionnaire consisted of the identified factors and specific criteria to evaluate each factor. The same factors were used to compare the corporation, Monsanto sa, with its brand, d ekalb, to measure the effectiveness of dual branding in the agricultural sector. A five-point Likert scale was utilised to capture the views of the respondents. Cronbach alpha coefficients were calculated to ensure validity and internal stability, where after the data were subjected to an exploratory factor analysis. A total of 400 structured questionnaires were distributed via e-mail to all the field employees of Monsanto s a with the instruction to complete these questionnaires with the farmers they service (200 with the Monsanto logo and 200 with the dekalb logo). The field personnel completed a total of 141 with the Monsanto logo and 140 with the dekalb logo. This signifies a response rate of 70.3%. The population consisted of the potential customer base, including mostly current maize production farmers eligible to purchase seed. The same population completed both questionnaires for each logo with a minor period in-between, not looking at the previous answers. A convenience sample was used to identify the respondents for the study. Quantitative research was operationalised by processing and analysing literature studies and statistics. Statgraphics 8.0 was employed as a statistical tool to analyse data. A minimum factor loading of 0.5 was met and items scoring less than this loading were omitted from the factors. Regarding construct validity, both the convergent and discriminant validities were considered (see Http://www.socialresearchmethods.net/ kb/convdisc.php). Construct validity refers to the ability of the questionnaire to actually measure what it is designed to do, and it is measured by determining whether the measuring items that should correlate with one another, actually do correlate with one another (in convergent validity). On the other hand, discriminant validity determines the inverse, namely to show that the measuring items that should not correlate with one another, actually do not correlate with one another. Pearson correlation coefficients were calculated to show that highly satisfactory correlations (exceeding 0.80) do exist between the two datasets (r = 0.9916), and that the questionnaire is suitable for use (Naidoo 2011,138). The Results of the Research The results of this study consist of: • a demographic profile, • descriptive statistics (mean values, standard deviations and effect sizes), and an • Exploratory Factor Analysis (Varimax rotation normalised). The profile of each group of respondents includes: • Does the respondent purchase maize from the company? • Whom does the respondent purchase maize from the company from? • Age group of the respondent. The information is summarised in tables 1-3. The question was asked whether the respondent purchases maize from the company or not. The respondents of Monsanto sA indicated table 1 'Yes' or 'no' purchasing profile Monsanto sa dekalb Yes No Yes No 99.30% 0.70% 98.60% 1.40% N=141 N=140 table 2 Purchasing profile Monsanto sa dekalb (1) (2) (3) 96.40% 0.70% 2.90% (1) 96.40% (2) 1.40% (3) 2.10% N=141 N=140 notes (1) Monsanto sales representative, (2) distributors, (3) Monsanto agent. table 3 Age group Monsanto sa dekalb 20-30 31-40 41-50 51+ 12.10% 29.80% 34.00% 24.10% 20-30 31-40 41-50 51+ 12.20% 27.30% 35.30% 25.20% N=141 N=140 that 99.3% do purchase maize from the company. The respondents of dekalb indicated that 98.6% do purchase maize from the company. The high percentages from both groups of respondents who purchase maize from the company show prior experience and as such they possess information or knowledge related to this study of company. Table 2 indicates the business unit within the company from which the respondents purchase maize seed. The Monsanto sa sales representatives cover a very high percentage of 96.4% in both groups. The higher percentage of respondents in both groups is within the age group of 41 to 50 years. Table 3 points to the fact that all age groups purchase maize from the company and the lowest percentage of respondents is from the age group 20 to 30 years. Table 4 shows the measuring criteria employed to evaluate the two brand names, Monsanto and dekalb, on the five-point Likert scale. The numbers of these 32 questions correspond with the numbers employed in tables 5 and 6. These tables should be read with table 4 in mind. The researchers also calculated the mean value of each criterion as well as the standard deviation. Table 5 analyses the mean values of dekalb table 4 Measuring criteria No. 1 2 3 4 5 1 Not understanding farmer req. Understanding farmer requirements 2 Not a biotechnology organisation A biotechnology organisation 3 Strange brand Familiar brand 4 Organisation not too progressive Organisation always improving 5 Plain brand Stylish brand 6 Unstable brand Stable brand 7 Slow service Fast service 8 Unlikeable products Likeable products 9 Low technology High technology 10 Untrustworthy brand Trustworthy brand 11 Quiet advertising Lively advertising 12 Disreputable products Reputable products 13 Unknown products Known products 14 Unsuccessful organisation Successful organisation 15 Boring organisation Interesting organisation Continued on the next page and Monsanto sa. In all the results, Group 1 represents dekalb and Group 2 represents Monsanto sa. Table 5 indicates the average mean values for each group (questions V1 to V32). The average mean value for question 1 dekalb (Group 1) is 4.4000, with a standard error mean of 0.07082. The average mean value for question 1 for Monsanto s a (Group 2) is 2.7000, with a standard error mean of 0.08217. Table 5, therefore, compares the mean values on each of the questions for both the groups. Table 6 compares the differences in the mean values of the two groups with the same questionnaire (see the criteria in table 4). In the analysis, only question 1 shows significance in difference in both the statistical and practical analyses. Question 1 deals with whether or not the organisation understands the farmer's requirements, and is shown below. The mean value difference between the two logos for the same question asked is 1.70000. Ellis and Steyn (2003) explained that the statistical significance test (for example the t-test) is used to show that the result, such as the difference between two means, is significant and that this is an advantage of drawing a random sample enabling a person to study the table 4 Continued from the previous page No. 1 2 3 4 5 16 Bad product performance Good product performance 17 Unattractive company Attractive company 18 Unpleasant doing business Pleasant doing business 19 Unimportant to my business Important to my business 20 Organisation providing bad service Organisation providing good service 21 Brand not growing fast Brand growing fast 22 Invisible logo Visible logo 23 Unbelievable advertising Believable advertising 24 Old-fashioned organisation Modern organisation 25 Uncertain doing business again Definite doing business again 26 Weak brand image Strong brand image 27 Hazy communication Clear communication 28 Weak biotechnology image Strong biotechnology image 29 Meek advertising Aggressive advertising 30 Rigid when doing business Flexible when doing business 31 Low quality products High quality products 32 Complex doing business with Simple doing business with properties of a population. Ellis and Steyn (2003) also argued that the p-value is a criterion that provides the probability that the obtained value could be obtained under the assumption that the null hypothesis (e. g. no differencesbetween the means) is true. A smallp-value, smaller than 0.05, is considered as sufficient evidence that the result is statistically significant. The authors argued that statistical significance does not necessarily imply that the result is important in practice, as these tests have a tendency to yield small p-values (indicating significance) as the size of the dataset increases. Ellis and Steyn (2003) explained that to comment on practical significance is to use the standardised difference between the means of two populations, i. e. the difference between the two means divided by the estimate for standard deviation. Effect sizes can also be determined, and practical significance can be understood as a large enough difference to have an effect in practice. Ellis and Steyn (2003) introduced a measure called the effect size, which makes the difference independent of units and sample size and relates it to the spread of data obtained. The authors table 5 Analysis of mean values (paired samples statistics) Pair (1) (2) (3) (4) Pair 1 vi gr 1 4.4000 140 .83795 .07082 vi gr 2 2.7000 140 .97228 .08217 Pair 2 v2 gr 1 4.5971 139 .75871 .06435 v2 gr 2 4.3813 139 .66371 .05630 Pair 3 V3 gr 1 4.4710 138 .84743 .07214 V3 gr 2 4.6739 138 .55583 .04732 Pair 4 v4 gr 1 4.5214 140 .77244 .06528 v4 gr 2 4.3214 140 .85888 .07259 Pair 5 v5 gr 1 4.4000 135 .83933 .07224 v5 gr 2 4.4741 135 .65597 .05646 Pair 6 v6 gr 1 4.3929 140 .90320 .07633 v6 gr 2 4.0857 140 .91734 .07753 Pair 7 v7 gr 1 4.4892 139 .77429 .06567 v7 gr 2 4.2662 139 .80376 .06817 Pair 8 v8 gr 1 4.4929 140 .78196 .06609 v8 gr 2 4.4500 140 .64957 .05490 Pair 9 v9 gr 1 4.6857 140 .73048 .06174 v9 gr 2 4.4714 140 .61682 .05213 Pair 10 V10 gr 1 4.5429 140 .71340 .06029 V10 gr 2 4-7143 140 .52678 .04452 Continued on the next page also explained the guidelines to use for interpretation of the effect size: (a) small effect: d = 0.2, (b) medium effect: d = 0.5 and (c) large effect: d = 0.8. This research considers data with d > 0.8 as practically significant, since it is the result of a difference having a large effect. The small effect of d = 0.2 indicated that the effect is not practically significant and will not be used in the interpretation of the results. The results obtained from table 6 show that question 1 is the only research question that is practically significant in practice with an effect size > 0.8, with a size value of 1.36. Therefore, this means that only one question from the 32 questions that were asked to compare the two logos with each other from the same population of respondents is practically significant for use in the research. The rest of the results have an effect table 5 Continued from the previous page Pair (1) (2) (3) (4) Pair 11 vii gr 1 4-4493 i38 .88022 .07493 vii gr 2 4.4638 i38 .62967 .05360 Pair 12 vi2 gr 1 4-5072 i38 .80370 .06842 vi2 gr 2 4.4348 i38 .68302 .058i4 Pair 13 vi3 gr i 4-5547 i37 .785i5 .06708 vi3 gr 2 4-4380 i37 .6845i .05848 Pair 14 vi4 gr i 4-5i09 i37 .74869 .06397 vi4 gr 2 4.5620 i37 .65i48 .05566 Pair 15 vi5 gr i 4.3723 i37 .8i356 .0695i vi5 gr 2 4.5620 i37 .59237 .0506i Pair 16 vi6 gr i 4.5652 i38 .7245i .06i67 vi6 gr 2 4.39i3 i38 .60935 .05i87 Pair 17 vi7 gr i 4.4388 i39 .79959 .06782 vi7 gr 2 4.4964 i39 .65247 .05534 Pair 18 vi8 gr i 4.5000 i40 .76337 .06452 vi8 gr 2 4.3357 i40 .73564 .062i7 Pair 19 vi9 gr i 4.5899 i39 .75960 .06443 vi9 gr 2 4.5468 i39 .65079 .05520 Pair 20 v20 gr i 4.5620 i37 .75597 .06459 v20 gr 2 4-5474 137 .67487 .05766 Continued on the next page size value smaller than 0.8 (see table 6), and are not used in the analysis. Therefore, not used. From the analyses from the respondents for question 1, the author can argue that respondents feel that the dekalb brand understands the farmers' requirements and that the company Monsanto sa does not understand the farmers' requirements. The respondents rated the brand better than the company itself did. factor identification Factor analysis is an approach that examines the associations among a large set of original measures and aims to reduce them to a smaller subset of explanatory factors for easier interpretation and is often referred to as a data reduction-interpretive technique (Martins et al. 1999, 369). table 5 Continued from the previous page Pair (1) (2) (3) (4) Pair 21 v2i gr 1 4.4000 140 .80287 .06786 v2i gr 2 4.5500 140 .62703 .05299 Pair 22 V22 gr 1 4.4820 139 .75520 .06406 v22 gr 2 4.2446 139 .78797 .06683 Pair 23 V23 gr 1 4.3000 140 .80198 .06778 V23 gr 2 3.9357 140 .94611 .07996 Pair 24 V24 gr 1 4.4593 135 .80819 .06956 V24 gr 2 4.2593 135 .73264 .06306 Pair 25 V25 gr 1 4.5683 139 .73278 .06215 V25 gr 2 4.4820 139 .68475 .05808 Pair 26 V26 gr 1 4.4161 137 .81927 .07000 V26 gr 2 4.5547 137 .72680 .06209 Pair 27 V27 gr 1 4.4783 138 .79430 .06762 V27 gr 2 4.2246 138 .74499 .06342 Pair 28 V28 gr 1 4.6277 137 .81356 .06951 V28 gr 2 4.2555 137 .83163 .07105 Pair 29 V29 gr 1 4.4317 139 .86015 .07296 V29 gr 2 4.6619 139 .58426 .04956 Pair 30 V30 gr 1 4.2734 139 .87481 .07420 V30 gr 2 4.3957 139 .70832 .06008 Pair 31 V31 gr 1 4.5942 138 .74125 .06310 V30 gr 2 4.2609 138 .78586 .06690 Pair 32 V32 gr 1 4.3929 140 .83706 .07074 V32 gr 2 4-5714 140 .65857 .05566 notes Column headings are as follows: (1) mean, (2) N, (3) standard deviation, (4) standard error mean. 'Pair' refers to measuring item 1 ofMonsanto and the corresponding measuring item of dekalb. The authors also explained that the observable measures are generally respondent perceptions, expectations or preferences, which describe certain personality and behaviour traits that are normally not directly observable. A correlation matrix between all pair-wise measures is required as input data to analyse and examine associations between variables. A factor analysis subsequently enabled the researcher to summarise 8992 responses (281 respondents; 32 items; Monsanto sa and dekalb) MD IH O m IH m O IH IH m iH O m > > > > > > > > > > > > > > O iH (S m MD iH > > > > > > > > > > > > > > > co 0 iH 0,70 (Boshoff and Hoole 1998, 77). In addition, each identified factor from the factor analysis was also subjected to the Cronbach alpha test, and the a-value for the single factor extracted from the data pertaining to dekalb was 0.989. The factor analysis identified two factors pertaining to Monsanto sa, and they had alpha values of 0.968 and 0.797, respectively. dekalkb explains a favourable total variance of 75.7%. All this variance is explained by the first factor. It is also the only factor identified by the analysis. The identified factor has been labelled and interpreted appropriately. Variables that are highly correlated with each other are grouped together under a single factor. The factor analysis for dekalb (table 7) revealed that one factor could be identified from the data and illustrated the items significant for the one factor. A suitable description for this factor seems to be dynamism. Some of the above items fit well together and are supportive of each other. A brand name that understands farmer requirements, always improving, stylish, stable, likeable, fast, trustworthy, lively, reputable, interesting, attractive, aggressive, flexible, pleasant doing business, modern, clear communication, is definitely very dynamic. These items are all very intangible; they may be seen to constitute corporate behaviour. Two items, namely 'brand growing fast' and 'strong biotechnology image,' did not contribute to this factor. The factor analysis for the Monsanto sa data explained a cumulative variance of 57.9%. Factor 1 explained the majority of this variance (50.3%). Variables that are highly correlated with each other are grouped together under a single factor. Each distinct grouping of highly correlated original variables represents a separate factor. The factor analyses for Monsanto sa table 8 revealed that two factors could be identified from the data and illustrate the item significant for the two factors. A suitable description for factor one also seems to be dynamism. According to the oed (2005, 363), the meaning of dynamism is the quality of being dynamic, philosophical, chiefly historical, the theory that phenomena can be explained by an imminent force. Most of these items fit table 7 Dekalb component factors Factors Component V26 weak brand image/strong brand image .911 vii quit advertising/lively advertising .902 V4 organisation not too progressive/organisation always improving .900 V31 low quality products/high quality products .898 V12 disreputable products/reputable products .895 V24 old-fashioned organisation/modern organisation .893 V20 organisation providing bad service/organisation providing good service .891 V19 unimportant to my business/important to my business .886 Vi4 unsuccessful organisation/successful organisation .884 V15 boring organisation/interesting organisation .883 V25 uncertain doing business again/definite doing business again .882 V32 complex doing business with/simple doing business with .882 V27 hazy communication/clear communication .881 V30 rigid when doing business/flexible when doing business .877 V7 slow service/fast service .875 V17 unattractiVe company/attractiVe company .871 Vi8 unpleasant doing business/pleasant doing business .868 V13 unknown products/known products .864 V23 unbelievable advertising/believable advertising .862 V9 low technology/high technology .861 V2 not a biotechnology organisation/a biotechnology organisation .860 V1 not understanding farmer requirements/understand. farmer requirements .860 V6 unstable brand/stable brand .858 V10 untrustworthy brand/trustworthy brand .856 V16 bad product performance/good product performance .854 V8 unlikeable products/likeable products .852 V5 plain brand/stylish brand .846 V29 meek advertising/aggressive advertising .832 V3 strange brand/familiar brand .823 V22 invisible logo/visible logo .790 well together with the factors of the dekalb brand and are supportive of each other. An organisation's brand name, like Monsanto sa, which understands farmer requirements, always improving, stylish, stable, likeable, table 8 Monsanto sa component factors Factors Component 1 2 V18 unpleasant doing business/pleasant doing business .823 V27 hazy communication/clear communication .821 v7 slow service/fast service .795 v20 organisation providing bad service/org. providing good service .786 V14 unsuccessful organisation/successful organisation .783 v17 unattractive company/attractive company .776 v12 disreputable products/reputable products .772 v25 uncertain doing business again/definite doing business again .771 v31 low quality products/high quality products .769 v19 unimportant to my business/important to my business .766 v24 old-fashioned organisation/modern organisation .762 v10 untrustworthy brand/trustworthy brand .758 v30 rigid when doing business/flexible when doing business .757 v1 not understanding farmer requirements/underst. farmer req. .756 v16 bad product performance/good product performance .751 v11 quit advertising/lively advertising .744 v4 organisation not too progressive/organisation always improving .737 v15 boring organisation/interesting organisation .730 v29 meek advertising/aggressive advertising .728 v8 unlikeable products/likeable products .721 v32 complex doing business with/simple doing business with .713 v23 unbelievable advertising/believable advertising .696 v26 weak brand image/strong brand image .678 v13 unknown products/known products .655 v2 not a biotechnology organisation/a biotechnology organisation .648 v9 low technology/high technology .623 v5 plain brand/stylish brand .813 v3 strange brand/familiar brand .672 v6 unstable brand/stable brand .637 fast, trustworthy, lively, reputable, interesting, attractive, aggressive, flexible, pleasant doing business, modern, clear communication, is definitely very dynamic. These items may also be seen to constitute corporate behaviour. Three items, namely 'brand growing fast,' 'strong biotechnology table 9 Comparison of factors in different industries Factor Represent (1) (2) (3) Factor 1 Dynamism X X X Factor 2 Stability/credibility X Factor 3 Client/customer service X Factor 4 Visual identity X X notes Column headings are as follows: (1) banking institutions in sa (Van Heerden 1993), (2) Monsanto sa current study, (3) dekalb current study. image' and 'visible logo' did not contribute to any factor. The only difference between the brand and organisation items in factor one, is the item invisible logo, which was excluded when evaluating the Monsanto sa logo. A suitable description for factor two seems to be visual identity. These three items, namely familiar brand, stylish brand and stable brand, fit well together and are supportive of each other. Van Heerden (1993,121) argued that visual identity is a major contributor towards corporate image, but that dynamism contributes more to corporate image. In summary of the factors that were identified to determine the corporate image of Monsanto sa and dekalb, it can be argued that the respondents, when viewing the dekalb logo, picture this brand name as one identity and do not associate it with the organisation Monsanto sa. It has been portrayed as one identity standing on its own. In the case of Monsanto sa, it can be argued from the results that respondents picture and associate the organisation Monsanto sa with the brand name dekalb. Table 9 compares the factors identified by Van Heerden (1993) in the South African banking industry and the current study in the agricultural sector. Dynamism was identified as a common factor when matched up against the agricultural market (organisation or brand) and therefore it can be argued that this factor represents behavioural identity (dynamism) in both industries' research findings. This confirms the viewpoint that corporate image is not only formed by visual identity, but also by behavioural identity. Acceptance or Rejection of Hypotheses The research formulated four research hypotheses that should either be accepted or rejected as a result of the research. h 0 Confusion in the market exists between the corporate name Monsanto sa and the brand name dekalb. Partially accepted. The research clearly showed that two factors for Monsanto s a were identified, while only one factor was identified for the brand dekalb. Two factors, dynamism and visibility, were identified for Monsanto sa, and for dekalb, just one factor, namely dynamism was recognised. h a Confusion does not exist in the market between the corporate name Monsanto sa and the brand name dekalb. Partially accepted. See explanation h0 above. h 1 Monsanto sa has a stronger corporate identity in the agriculture industry than dekalb. Partially accepted. Due to the two factors (dynamism and visibility) as identified in this investigation for Monsanto sa, respondents do relate the corporate identity with the brand dekalb. The factor dynamism for the dekalb brand only relates to the brand and is not linked to the corporate identity of Monsanto sa. h2 dekalb has a stronger corporate identity in the agricultural industry than Monsanto sa. Partially accepted. See explanation h0 and h1 above. From the research findings, there is a small difference in how the respondents observe Monsanto sa and dekalb. The factor dynamism was identified as a common factor and visibility was not found in the brand dekalb. With regard to the comparison between Monsanto sa and dekalb, only one factor was meaningful. Analysis and Interpretation The data were collected via a measuring instrument at maize production farmers in the agricultural sector of the market, and the statistical analyses made use of descriptive as well as advanced techniques. The use of factor analysis is to determine the underlying constructs of a dataset provided to be beneficial in this application setting, since it has supplied the researcher with additional information to assist the marketing team in identifying factors of importance to increase and grow the market business entity. The dataset was validated by applying Cronbach's alpha and it proved to be reliable and stable. In this investigation, for the brand dekalb, one factor contributed to the brand image and was identified as dynamism. For Monsanto sa, two factors contributed to the organisation's image and were identified as dynamism and visual identity. It can be argued that the respondents, when looking at the dekalb logo, picture this brand name as one identity and do not associate it with the organisation Monsanto sa. It is portrayed as one identity standing on its own. In the case of Monsanto sa, respondents picture and associate the organisation Monsanto sa with the brand name dekalb. These results indicate that the corporate logo, as one of the elements of the corporate identity mix, can be used to create images in the minds of respondents, because it serves as a mental switch or stimulus. The research results confirm the assumption that corporate behaviour and corporate visual identity contribute to visual identity. This argument is also supported by an earlier study done by Van Heerden (1993,123). In addition, these results are arguably in line with the research by Dungan (2002,52), explaining that when corporate image is different from brand name, consistency is harder to maintain. According to Van Heerden and Badenhorst (2004, 19), 'the dual nature of image and identity creates a special dilemma for decision-makers.' Conclusions From the research, it can be concluded that: • In the analysis, only question 1 (table 5) showed a significant difference. This question dealt with whether or not the organisation understands the farmer requirements when viewing the two different logos at different times. The respondents indicate that dekalb does understand farmer requirements (mean value of 4.40), and that Monsanto sa does not really understand farmer requirements (mean value of 2.70). • The researcher concluded that dekalb has a strong brand identity. The respondents identified with the brand and not with Monsanto sa. The brand dekalb identifies a product to the respondents and differentiates it from the competitor's products. dekalb has a brand reputation and has value in the minds of customers. This unified identity has been labeled dynamism. From table 7, it is evident from the historical survey (Objectivity 2003) that 76% of respondents did not know the new brand dekalb. With this cur- rent survey of 2008, this deficit of the past has been eliminated, and all respondents knew the brand dekalb. They did, however, not necessarily make a strong connection to Monsanto sa as the company. Respondents today feel that the brand does understand farmer requirements. Evidently, the current marketing strategy of the dekalb brand is very successful. • The factor dynamism was identified and is tested to be reliable because it was subjected to the Cronbach coefficient alpha (a) reliability test with an a-value of 0.98. • The cumulative variance for the factor loading to dekalb is high (76%). In addition, the high Cronbach alpha value of the factor supports the fact that statistically a good and reliable fit to the data exists. • With reference to the first conclusion, the respondents indicate that Monsanto s a and dekalb differ significantly, except on the first question. • Regarding the case of Monsanto s a, the respondents relate with the identity, the corporate name and the brand name of the organisation. The core factor identified is also dynamism. However, this factor explains less variance than was the case with dekalb (50%). In addition, a second factor is present with Monsanto s a, namely that of visibility in the market. An explanation could be that a brand like dekalb only deals in a straightforward relationship with one group of customers, while Monsanto s a operates in a complex tangled web of relationships over a much more extended business environment. • The two factors that were identified resulted in favourable Cron-bach Coefficient alphas (a-values of 0.96 and 0.79 respectively). It is, therefore, concluded that the factors are reliable. • The cumulative factor variance for Monsanto sa is less than that of dekalb (58%), while dynamism as a factor only explains 50% variance. This is significantly less than the variance explained by dekalb. As such (bearing in mind the explanation offered in Conclusion 2: dekalb), Monsanto sa is perceived by the market to be more complex, while dekalb is regarded to be a single factorial concept. Managerial Implications The analysis showed that there is no significant practical difference between the brand perceptions pertaining to Montana sa and dekalb. From a managerial perspective, this is reassuring because building a duel brand in the market could be confusing to customers and creates opportunities for competitors in the seed market. The managerial implications of the study are summarised below. 1. The marketing strategies of the two brand identities should continue to dovetail in order to strengthen the perceptions in the market that a common factor in identity exists. Marketing managers should position dekalb as the vehicle that transports Monsanto sa's brand value of dynamism. 2. The visibilities of both dekalb and Monsanto sa in the market should be used to continue to act as a transporter of brand identity. Managers should realise that both names are synonymous with the company, and as such, positively build the brand identity in the market. 3. Regarding the management of the Department of Research and Development at Monsanto sa, it is important that managers continue to fund research in order to continue to identify other brand identities (factors) that may be lurking within the Monsanto sa brand. This is especially true because 43% of the variance is yet to be explained, identified, and addressed. 4. For the same reason, management should also support continued research regarding the brand name dekalb, because it is important to determine whether the brand identity really relates to only one factor. The dekalb brand could also have latent factors within that could be valuable in constructing a marketing strategy. 5. Management should take note of the strong brand identity of d e k a l b. Since the dekalb brand marketing strategy is so successful, the dekalb brand should present itself as clear and understandable as possible. In addition, the relationship with or link to Monsanto sa should always be confirmed. This would ensure that customers perform brand transfer between the different departments, divisions, and other brands or products that Monsanto sa markets. This implies that the whole of the organisation's personality and its identity should become the most significant factor in making a choice between companies. 6. An interesting managerial implication is that an awareness campaign is required to sensitise all of the marketing managers in the Monsanto sa organisation to be a major role-player when it comes to corporate identity strategies. Managers should realise the im- portance of the role of the corporate identity in the total business strategy. It is also the responsibility of management to share the plan and to implement the corporate identity programme with all of Monsanto sa employees. This will enable the realisation and understanding of the importance of corporate identity and the role they play. 7. Although it can be argued that dual branding in the marketing strategy influences corporate identity and image negatively, this is only true in market confusion scenarios. Once the dual branding strategy becomes synonymous in its identity, significant benefits can be derived from it, especially if a number of brands exist within an organisation. The Monsanto sa marketing team must emphasise this factor to ensure that respondents are not confused by its dual branding strategy. It is therefore recommended that Monsanto sa continues its dual branding strategy by creating positive experiences of both brands in the minds of the consumers. Valuable knowledge could be derived from future research conducted with those respondents who do not purchase maize seed from the organisation but from Monsanto's competitors. In addition, further research could identify the rest of the agricultural sector regarding those factors that contribute to corporate image. The other brands, among others, Round-Up, Lasso mt, delta pine, Seminus, Guardian, Bullet, Carnia Seed, and more, could be enlisted in further research at Monsanto sa. Limitations of the Study The study and its results are limited by the following constraints: • The results pertain to Monsanto sa only, and cannot be extrapolated to other countries where Monsanto International operates. Re-sultantly, managerial decision-making based on these results is limited to South Africa only. • The views expressed in this research are a result of the perceptions and buying behaviour of the customers of Monsanto sa (and also buyers of dekalb as the brand name of Monsanto sa). The study is, therefore, limited to the customers of Monsanto sa only. • The views of non-customers (such as the buyers of Pioneer, Kudu, and other competitive agricultural seed products and brand names) are not discounted in this study. 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