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Halim, R. Product Claim and Negative Word of Mouth. Encyclopedia. Available online: https://encyclopedia.pub/entry/19844 (accessed on 16 November 2024).
Halim R. Product Claim and Negative Word of Mouth. Encyclopedia. Available at: https://encyclopedia.pub/entry/19844. Accessed November 16, 2024.
Halim, Rizal. "Product Claim and Negative Word of Mouth" Encyclopedia, https://encyclopedia.pub/entry/19844 (accessed November 16, 2024).
Halim, R. (2022, February 24). Product Claim and Negative Word of Mouth. In Encyclopedia. https://encyclopedia.pub/entry/19844
Halim, Rizal. "Product Claim and Negative Word of Mouth." Encyclopedia. Web. 24 February, 2022.
Product Claim and Negative Word of Mouth
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This entry is adapted from the peer-reviewed paper 10.3390/su14052554

Electronic word-of-mouth (eWOM) messages about product sustainability have gotten the attention of scholars, who have shown that information related to sustainability significantly influences consumers’ intention to purchase products. eWOM is a positive or negative statement about a product available to society and institutions or the company that makes the product by someone who has used it. It has a great influence on consumers’ purchasing decisions.

attitudes subjective norm E-Wom product claim negative e-wom

1. Product Sustainability

Product sustainability looks at how products can provide economic benefits for the company while providing environmental and social benefits for society in general [1]. Product sustainability indicators are increasingly gaining recognition as a product sustainability assessment tool, which is always related to the company’s performance in aspects like energy, environment, resources, technical, and economic improvement [2]. More sustainable products provide opportunities to address consumption practices that increase waste. However, despite their best efforts to improve products, many companies lack a comprehensive strategy [2]. In manufacturing, developing new materials, better design methods, and society’s increasing demands on manufactured products, the design for manufacturing concept has paved the way for incorporating these into more sustainable product development [3].
The relation of product sustainability to WOM could be seen in a study on tourism, wherein a greater perception of foreign tourists in their sustainability assessment increased the WOM intention of foreign tourists [4]. Furthermore, positive and negative information related to sustainability on social media significantly influences consumers’ intention to purchase sustainable products [5][6]. As with product sustainability, previous studies on product attributes have shown different perspectives. They contribute to a literature review of sustainability labels that shows that consumers have positive attitudes toward olive oil that has a sustainability label, and they will pay more for products that carry those labels [7]. Other studies on sustainability messaging have investigated logos, certifications, and claims to show the different ways a product is advertised [8]. Messaging at Chinese shows had less of an emphasis on sustainability compared to those in Europe and the United States. Moreover, sustainability is also applied in other contexts, such as in methods that simultaneously evaluate environmental, economic, and social aspects, to project more sustainable designs of products and services [9].
Even though the case of sustainable dairy is sensitive, it is well known that milk and other dairy products are basic food products that are important in the development of healthy human beings [10]. Studies indicate that increased intake of milk and other dairy products to meet nutritional recommendations can protect against most common chronic diseases, and they have few reported side effects [11]. Dairy products are generally divided into seven categories, but consumers still mainly buy liquid milk [12]. One study recommended increasing dairy consumption by increasing consumer health awareness [12]. There is already enough evidence to proceed with a dietary change that involves switching from dairy products to plant-based alternatives [13]. However, plant-based milk alternatives are often lower nutritional substitutes than cow’s milk. The protein content of plant-based milk alternatives is an average of 48% of cow’s milk, and the levels of vitamins and minerals tend to be less consistent with plant-based milk alternatives [14]. In Indonesia, to promote dairy farm sustainability, their business sustainability factor is the standardization of a company’s management system [15].

2. The Theory of Planned Behavior and Negative eWOM

The theory of planned behavior is a reliable model that focuses on several variables, such as consumer attitudes, subjective norms, and perceived behavioral control [16]. In a healthy workspace, the constructs of subjective norms, attitudes, and perceived control of behavior predict the safe behavior of supervisors [17], and extended TPB appears to be an efficient model with a focus on attitudes, knowledge, risk perception, and previous behavior [18]. Other contexts for product sustainability issues also confirm the TPB theory, such as pesticide handling [19], wellbeing food [20], green hotels [21], green pesticides [22], energy conservation [23], green restaurants [24], energy savers [25], and household waste sorting [26]. Studies that relate the TPB to WOM have shown significant relationships between attitudes and PBC and WOM intention [27], and that eWOM is related to TPB constructs [28].
Bachleda and Berrada-Fathi [29] found that N-eWOM plays an important role in service consumption decisions. Companies must actively manage N-eWOM because studies have shown that the effect of N-eWOM on consumer attitudes toward service providers and purchase intentions is far greater than the effect of positive eWOM [30]. N-eWOM is reported to have an impact on several important metrics, such as customer retention and loyalty [31], company profitability [6], and organizational reputation [5][32].
Bach Leda has defined attitudes as positive or negative feelings of individuals toward target behavior [33]. Comparing the impact of positive and negative reviews on hotel customer choices, Vermeulen and Seegers [34] emphasized that negative reviews resulted in negative attitudes. Conversely, positive reviews improved the attitudes of customers toward the hotel. Lee and Cranage [35] found that N-eWOM influenced attitudes toward restaurants more than positive eWOM.
In TPB, subjective norms are defined as perceived social pressure to perform or not perform behavior by individuals [36]. Jalilvand and Samiei [37] studied the impact of eWOM on the selection of tourist destinations and the influence of past travel using eWOM and TPB construction. They found that positive eWOM had a significant impact on attitudes to visit Isfahan, subjective norms, PBC, and the intention to travel. Tourism experiences have a significant impact on the use of eWOM and the TPB construct. Researchers have found that negative WOM had a positive effect on subjective norms, and it led to brand switching by consumers. In simple terms, it can be concluded that N-eWOM makes subjective norms smaller, meaning that the orientation of other people’s views is small and their attitude toward the brand is also reduced, which results in moving to another brand.
Perceived behavioral control (PBC) is a measure of the extent to which individuals believe that displaying certain behaviors will be easy or difficult [38]. PBC is an individual’s perception of the ease or difficulty of behavior and the control the person has to implement that behavior [39]. Therefore, if someone has the opportunity and the ability to act according to information they believe, then they will be motivated to act. For example, after receiving negative information that a product contains hazardous substances, they will avoid buying and consuming the product. Thus, eWOM negatively influences decision-making and hinders purchasing [40][41]. Jalilvand and Samiei [42] found that eWOM affected PBC. An individual’s attention to negative news and the credibility of the news received by consumers determines the perception of risk for the product being reported. Thus, PBC consumers are affected by negative reviews. Purchasing behavior in the TPB framework has a mediator’s attitudes, subjective norms, and PBC. If eWOM is negative with mediator attitudes, subjective norms, and PBC, and it results in negative behavior, such as not buying a product, then the three mediators following the N-eWOM become negative.
The eWOM phenomenon has changed people’s behavior and decisions, such that they rely more on the opinions of and information from other users. They even make offline decisions based on information obtained online [43]. Besides influencing results on sales figures at the corporate level, for example, eWOM also influences individual end-users in terms of their attitudes, trust, or purchase intentions [44][45]. Wu et al. [46] conducted a study in Taiwan on the effects of eWOM on the purchase of notebooks, a product with high levels of involvement, and shampoos, a daily consumption product with low involvement. They found that eWOM positively influenced the purchase intentions of the two products. Bachleda and Berrada-Fathi [29] found that N-eWOM, as well as negative WOM, played an important role in the choice of services that had not been used before. Thus, it can be hypothesized that:

3. Product Claims

Product claims are a way for manufacturers to use products’ intrinsic cues to be clearly visible to consumers. Manufacturers communicate attributes of products or services that are considered persuasive [47] so consumers will be interested in buying them. Claims, illustrations, and symbols convey important information about what can be expected of the product [48]. When understood by consumers, such product claims can improve marketing communication [49]. If a product is exposed to negative reviews online, the product claim can represent the company as the information provider. Generally, N-eWOM is overcome by clarifying explanations by the company’s public relations office to address negative issues. However, even if the company does not rebut negative reviews, the product claims are already there to do that, or at least to provide authentic information about the product. Consumers who want correct information quickly can at least get it through product claims attached to product packaging or advertised. Product claims are primarily, or even exclusively, a type of direct information for consumers. When faced with situations where information is uncertain, consumers can use product claims as primary information. Chen [50] found that when there is negative information about a product, the three constructs of TPB—attitudes, subjective norms, and PBC—become negative, resulting in cautious attitudes in consumers not to buy the product. Product claims as signals of product quality are expected to reduce these negative impacts.
Product claims are a way for producers to use intrinsic product cues to make them clearly visible to consumers [51]. Product claims are one way of communicating product or service attributes that are considered persuasive, therefore consumers will be interested in buying them [47]. There has been a positive increase in sales of wheat, high fiber cereals, folate-fortified breakfast foods, and cooking oil following claims or media coverage of the health benefits of these products [48].
Congruity theory examines how conformity or non-conformity with expectations affects individual responses, including information processing and evaluation [52]. When people find new information that matches their previous knowledge, they easily accept the new information. If the new information is not appropriate, it will challenge previous knowledge. Stayman et al. [53] examined how conformity affects satisfaction, and they found that when trials did not match the schema’s expectations, participants’ evaluations of the product were more negative. Congruent schemes are preferable and easier to process [54]. New information that complements existing knowledge is preferred.

References

  1. He, B.; Luo, T.; Huang, S. Product sustainability assessment for product life cycle. J. Clean. Prod. 2019, 206, 238–250.
  2. Petersen, M.; Brockhaus, S. Dancing in the dark: Challenges for product developers to improve and communicate product sustainability. J. Clean. Prod. 2017, 161, 345–354.
  3. Gebisa, A.W.; Lemu, H.G. Design for manufacturing to design for Additive Manufacturing: Analysis of implications for design optimality and product sustainability. Procedia Manuf. 2017, 13, 724–731.
  4. Kusumawati, A.; Utomo, H.S.; Suharyono, S.; Sunarti, S. Effects of sustainability on WoM intention and revisit intention, with environmental awareness as a moderator. Manag. Environ. Qual. An Int. J. 2020, 31, 273–288.
  5. Saeed, M.A.; Farooq, A.; Kersten, W.; Ben Abdelaziz, S.I. Sustainable product purchase: Does information about product sustainability on social media affect purchase behavior? Asian J. Sustain. Soc. Responsib. 2019, 4, 9.
  6. Reichheld, F.F.; Teal, T. The Loyalty Effect: The Hidden Force Behind Growth, Profits, and Lasting Value Location; Harvard Business School Publications: Boston, MA, USA, 2001; ISBN 9781578516872.
  7. Erraach, Y.; Jaafer, F.; Radi, I. Sustainability Labels on Olive Oil: A Review on Consumer Attitudes and Behavior. Sustainability 2021, 13, 12310.
  8. Malcorps, W.; Newton, R.W.; Maiolo, S.; Eltholth, M.; Zhu, C.; Zhang, W.; Li, S.; Tlusty, M.; Little, D.C. Global Seafood Trade: Insights in Sustainability Messaging and Claims of the Major Producing and Consuming Regions. Sustainability 2021, 13, 11720.
  9. Muñoz, N.; Ignacio, J.; Mart, V.; Fern, A.; Biedermann, A.; Luis, J.; Santolaya, S. Projecting More Sustainable Product and Service Designs. Sustainability 2021, 13, 11872.
  10. Ilie, D.M.; Lădaru, G.R.; Diaconeasa, M.C.; Stoian, M. Consumer choice for milk and dairy in romania: Does income really have an influence? Sustainability 2021, 13, 12204.
  11. Moreno-Villares, J.M. Milk and dairy products: Good or bad for human health? An assessment of the totality of scientific evidence. Acta Pediatr. Esp. 2016, 74, e258.
  12. Xu, J.; Wang, J.; Li, C. Impact of Consumer Health Awareness on Dairy Product Purchase Behavior during the COVID-19 Pandemic. Sustainability 2022, 14, 314.
  13. Carlsson Kanyama, A.; Hedin, B.; Katzeff, C. Differences in environmental impact between plant-based alternatives to dairy and dairy products: A systematic literature review. Sustainability 2021, 13, 12599.
  14. Chalupa-Krebzdak, S.; Long, C.J.; Bohrer, B.M. Nutrient density and nutritional value of milk and plant-based milk alternatives. Int. Dairy J. 2018, 87, 84–92.
  15. Rahmana, A.; Daryanto, A.; Jahroh, S. Sustainability Strategies of Indonesian Mega-Dairy Farm Business: A Case of Greenfields Indonesia. J. Manaj. Dan Agribisnis 2018, 15, 162–171.
  16. Ahmmadi, P.; Rahimian, M.; Movahed, R.G. Theory of planned behavior to predict consumer behavior in using products irrigated with purified wastewater in Iran consumer. J. Clean. Prod. 2021, 296, 126359.
  17. Mohebi, S.; Parham, M.; Sharifirad, G.; Gharlipour, Z. Application of the theory of planned behavior in the design and implementation of a behavior-based safety plan in the workplace. J. Educ. Health Promot. 2021, 10, 1–7.
  18. Fan, C.W.; Chen, I.H.; Ko, N.Y.; Yen, C.F.; Lin, C.Y.; Griffiths, M.D.; Pakpour, A.H. Extended theory of planned behavior in explaining the intention to COVID-19 vaccination uptake among mainland Chinese university students: An online survey study. Hum. Vaccines Immunother. 2021, 17, 3413–3420.
  19. Bagheri, A.; Emami, N.; Damalas, C.A. Farmers’ behavior towards safe pesticide handling: An analysis with the theory of planned behavior. Sci. Total Environ. 2021, 751, 141709.
  20. Lim, H.R.; An, S. Intention to purchase wellbeing food among Korean consumers: An application of the Theory of Planned Behavior. Food Qual. Prefer. 2021, 88, 104101.
  21. Yeh, S.S.; Guan, X.; Chiang, T.Y.; Ho, J.L.; Huan, T.C.T. Reinterpreting the theory of planned behavior and its application to green hotel consumption intention. Int. J. Hosp. Manag. 2021, 94, 102827.
  22. Ataei, P.; Gholamrezai, S.; Movahedi, R.; Aliabadi, V. An analysis of farmers’ intention to use green pesticides: The application of the extended theory of planned behavior and health belief model. J. Rural Stud. 2021, 81, 374–384.
  23. Du, J.; Pan, W. Examining energy saving behaviors in student dormitories using an expanded theory of planned behavior. Habitat Int. 2021, 107, 102308.
  24. Moon, S.J. Investigating beliefs, attitudes, and intentions regarding green restaurant patronage: An application of the extended theory of planned behavior with moderating effects of gender and age. Int. J. Hosp. Manag. 2021, 92, 102727.
  25. Liu, X.; Wang, Q.C.; Jian, I.Y.; Chi, H.L.; Yang, D.; Chan, E.H.W. Are you an energy saver at home? The personality insights of household energy conservation behaviors based on theory of planned behavior. Resour. Conserv. Recycl. 2021, 174, 105823.
  26. Wang, Y.; Long, X.; Li, L.; Wang, Q.; Ding, X.; Cai, S. Extending theory of planned behavior in household waste sorting in China: The moderating effect of knowledge, personal involvement, and moral responsibility. Environ. Dev. Sustain. 2021, 23, 7230–7250.
  27. Anrisevdİ, A.T.; Ul, G.Ö.; Güçlütü, G.; Baran, R.K. Examining Traditional Wom Intention In The Context Of Theory Of Planned Behavior: A Case Of Turkish Mountaineers. ASBİ Abant. Sos. Bilim. Derg. 2021, 21, 63–89.
  28. Soliman, M. Extending the Theory of Planned Behavior to Predict Tourism Destination Revisit Intention. Int. J. Hosp. Tour. Adm. 2021, 22, 524–549.
  29. Bachleda, C.; Berrada-Fathi, B. Is negative eWOM more influential than negative pWOM? J. Serv. Theory Pract. 2016, 26, 109–132.
  30. Kudhesia, C.; Kumar, A. Social eWOM: Does it affect the brand attitude and purchase intention of brands? Manag. Res. Rev. 2017, 40, 310–330.
  31. East, R.; Hammond, K.; Gendall, P. Fact and Fallacy in Retention Marketing. J. Mark. Manag. 2006, 22, 5–23.
  32. Cheng, S.; Lam, T.; Hsu, C.H.C. Negative Word-of-Mouth Communication Intention: An Application of the Theory of Planned Behavior. J. Hosp. Tour. Res. 2006, 30, 95–116.
  33. Wiederhold, M.; Martinez, L.F. Ethical consumer behaviour in Germany: The attitude-behaviour gap in the green apparel industry. Int. J. Consum. Stud. 2018, 42, 419–429.
  34. Vermeulen, I.E.; Seegers, D. Tried and tested: The impact of online hotel reviews on consumer consideration. Tour. Manag. 2009, 30, 123–127.
  35. Lee, C.H.; Cranage, D.A. Toward Understanding Consumer Processing of Negative Online Word-of-Mouth Communication: The Roles of Opinion Consensus and Organizational Response Strategies. J. Hosp. Tour. Res. 2014, 38, 330–360.
  36. Ajzen, I. The Theory of Planned Behavior. Organ. Behav. Hum. Decis. Process. 1991, 50, 179–211.
  37. Jalilvand, M.R.; Samiei, N. The impact of electronic word of mouth on a tourism destination choice: Testing the theory of planned behavior (TPB). Internet Res. 2012, 22, 591–612.
  38. Hogg, M.A.; Vaughan, G.M. Social Psychology, 8th ed.; Basic Books: New York, NY, USA, 2018; ISBN 9781292090450.
  39. Beck, L.; Ajzen, I. Predicting dishonest actions using the theory of planned behavior. J. Res. Pers. 1991, 25, 285–301.
  40. Cui, G.; Lui, H.K.; Guo, X. The effect of online consumer reviews on new product sales. Int. J. Electron. Commer. 2012, 17, 39–58.
  41. Chen, Z.; Lurie, N.H. Temporal contiguity and negativity bias in the impact of online word of mouth. J. Mark. Res. 2013, 50, 463–476.
  42. Jalilvand, M.R.; Samiei, N. The effect of electronic word of mouth on brand image and purchase intention: An empirical study in the automobile industry in Iran. Mark. Intell. Plan. 2012, 30, 460–476.
  43. Lee, J.; Park, D.H.; Han, I. The effect of negative online consumer reviews on product attitude: An information processing view. Electron. Commer. Res. Appl. 2008, 7, 341–352.
  44. Doh, S.J.; Hwang, J.S. How Consumers Evaluate eWOM. Cyberpsychol. Behav. 2009, 12, 193–197.
  45. Sparks, B.A.; Browning, V. The impact of online reviews on hotel booking intentions and perception of trust. Tour. Manag. 2011, 32, 1310–1323.
  46. Wu, P.C.S.; Wang, Y.C.; Wang, Y. The influences of electronic word-of-mouth message appeal and message source credibility on brand attitude. Asia Pac. J. Mark. Logist. 2011, 23, 448–472.
  47. Van Ooijen, I.; Fransen, M.L.; Verlegh, P.W.J.; Smit, E.G. Atypical food packaging affects the persuasive impact of product claims. Food Qual. Prefer. 2016, 48, 33–40.
  48. Slavin, J.L.; Jacobs, D.; Marquart, L.; Wiemer, K. The role of whole grains in disease prevention. J. Am. Diet. Assoc. 2001, 101, 780–785.
  49. Grunert, K.G.; Wills, J.M.; Fernández-Celemín, L. Nutrition knowledge, and use and understanding of nutrition information on food labels among consumers in the UK. Appetite 2010, 55, 177–189.
  50. Chen, M. Modeling an extended theory of planned behavior model to predict intention to take precautions to avoid consuming food with additives. Food Qual. Prefer. 2017, 58, 24–33.
  51. Castro, C. The Effect of Using Claim Confirming Product Cues on the Product Claim Credibility: Is Seeing Believing? Ph.D. Thesis, Escola de Administração de Empresas de São Paulo, São Paulo, Brazil, 2013.
  52. Sirgy, M.J. Self-congruity theory in consumer behavior: A little history. J. Glob. Sch. Mark. Sci. 2018, 28, 197–207.
  53. Stayman, D.M.; Alden, D.L.; Smith, K.H. Some Effects of Schematic Processing on Consumer Expectations and Disconfirmation Judgments. J. Consum. Res. 1992, 19, 240.
  54. Sherman, S.J.; Zehner, K.S.; Johnson, J.; Hirt, E.R. Social explanation: The role of timing, set, and recall on subjective likelihood estimates. J. Pers. Soc. Psychol. 1983, 44, 1127–1143.
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