consumer behaviour

 

  • [15] Other purchase decisions, In consumer practice, consumers must make highly complex decisions, often based on a lack of time, knowledge or negotiating ability.

  • Consumer actions, in this instance, could involve requesting a refund, making a complaint, deciding not to purchase the same brand or from the same company in the future,
    or even spreading negative product reviews to friends or acquaintances, possibly via social media.

  • “[7] The term consumer can refer to individual consumers as well as organisational consumers, and more specifically, “an end user, and not necessarily a purchaser, in the
    distribution chain of a good or service.

  • “[8] Consumer behaviour is concerned with:[9] • purchase activities: the purchase of goods or services; how consumers acquire products and services, and all the activities
    leading up to a purchase decision, including information search, evaluating goods and services, and payment methods including the purchase experience • use or consumption activities: concerns the who, where, when, and how of consumption and
    the usage experience, including the symbolic associations and the way that goods are distributed within families or consumption units • disposal activities: concerns the way that consumers dispose of products and packaging; may also include
    reselling activities such as eBay and second-hand markets Consumer responses may be:[10] • emotional (or affective) responses: refer to emotions such as feelings or moods, • mental (or cognitive) responses: refer to the consumer’s thought
    processes, their • behavioural (or conative) responses: refer to the consumer’s observable responses in relation to the purchase and disposal of goods or services.

  • Other types of calls-to-action might provide consumers with strong reasons for purchasing immediately such an offer that is only available for a limited time (e.g.

  • [51] Post purchase evaluation can be viewed as the steps taken by consumers to correlate their expectations with perceived value and thus influence their next purchase decision
    for that good or service.

  • [29] Specific brand names enter the consumer’s consideration set based on the extent to which they satisfy the consumer’s purchasing objectives and/or the salience or accessibility
    of the brand at the time of making the purchase decision.

  • A typical strategy is to look to peers or significant others for validation of the purchase choice.

  • [26] As the consumer approaches the actual purchase, they distill the mental list of brands into a set of alternatives that represent realistic purchase options, known as
    the consideration set.

  • Methods used might include ‘social evidence’, where the salesperson refers to previous success and satisfaction from other customers buying the product.

  • Part of any marketing program requires an understanding of which motives drive given product choices.

  • [24] Consumers may choose to supplement the number of brands in the evoked set by carrying out an external search using sources such as the Internet, manufacturer/brand websites,
    shopping around, product reviews, referrals from peers and the like.

  • [37] The marketing organisation needs a deep understanding of the benefits most valued by consumers and therefore which attributes are most important in terms of the consumer’s
    purchase decision.

  • As consumers approach the actual purchase decision, they are more likely to rely on personal sources of information.

  • A simpler way of thinking about problem recognition is that it is where the consumer decides that they are ‘in the market’ for a product or service to satisfy some need or
    want.

  • After evaluating the different product attributes, the consumer ranks each attribute or benefit from highly important to least important.

  • Other factors that may affect the purchase decision include the environment and the consumer’s prior experience with the category or brand.

  • This is marketing, which could be defined as “the process by which companies create value for customers and build strong customer relationships, in order to capture value
    from customers in return.

  • New Products or Categories When consumers become aware of new innovative products that offer a superior means of fulfilling a need.

  • “[36] Consumer beliefs about a brand or product category may vary depending on a range of factors including the consumer’s prior experience and the effects of selective perception,
    distortion, and retention.

  • [11] The purchase decision and its context Understanding purchase and consumption behaviour is a key challenge for marketers.

  • The study of consumer behaviour formally investigates individual qualities such as demographics, personality lifestyles, and behavioural variables (such as usage rates, usage
    occasion, loyalty, brand advocacy, and willingness to provide referrals), in an attempt to understand people’s wants and consumption patterns.

  • Related products The purchase of one product may trigger the need for accessories, spare parts, or complementary goods and services e.g.

  • The implication for marketers is that relevant brand information should be disseminated as widely as possible and included on any forum where consumers are likely to search
    for product or brand information, whether traditional media or digital media channels.

  • New Needs or Wants Lifestyle changes may trigger the identification of new needs e.g.

  • [27] By definition, the consideration set refers to the “small set of brands which a consumer pays close attention to when making a purchase decision”.

  • However, when consumers become more knowledgeable, functional attributes diminish and consumers process more abstract information about the brand, notably the self-related
    aspects.

  • Information search[edit] Customer purchase decision, illustrating different communications touchpoints at each stage During the information search and evaluation stages, the
    consumer works through processes designed to arrive at a number of brands (or products) that represent viable purchase alternatives.

  • [3] In its early years, consumer behaviour was heavily influenced by motivation research, which had increased the understanding of customers, and had been used extensively
    by consultants in the advertising industry and also within the discipline of psychology in the 1920s, 1930s, and 1940s.

  • Consumer behaviour, in its broadest sense, is concerned with understanding both how purchase decisions are made and how products or services are consumed or experienced.

  • Thus the relevant evaluation attributes vary according to across different types of consumers and purchase contexts.

  • No universal evaluation process is used by consumers across all-buying situations.

  • [18] The purchasing decision model To approach the mental processes used in purchasing decisions, some authors employ the concept of the black box, which represents the cognitive
    and affective processes used by a consumer during a purchase decision.

  • Consumers typically use most of their resources (time, energy, and finances) attempting to satisfy these lower order needs before the higher order needs of belonging, esteem,
    and self-actualisation become meaningful.

  • The extensive data produced by these databases enables detailed examination of behavioural factors that contribute to customer re-purchase intentions, consumer retention,
    loyalty, and other behavioural intentions such as the willingness to provide positive referrals, become brand advocates, or engage in customer citizenship activities.

  • Foxall suggested that post-purchase evaluation can provide key feedback to marketers because it influences future purchase patterns and consumption activities.

  • Social media further enables consumers to share views with their peers about the product they are looking to purchase.

  • The consciously, and subconsciously, consumed content in traditional as well as social media greatly plays the role of a stimulus for the consumer’s recognition of a new need.

  • This means that a need is built for a consumer, with the product presented or advertised to them through an analytical study of the user’s patterns of consumption and their
    behaviours and habits.

  • Faced with the severe competition situation, companies began to realize the importance of implementing brand strategy, and began to focus on market research, and on this basis,
    deeply grasp the consumer’s psychological pulse to improve market share and brand loyalty.

  • [25] The fact that a consumer is aware of a brand does not necessarily mean that it is being considered as a potential purchase.

  • In practice, the consideration set has assumed greater importance in the purchase decision process because consumers are no longer totally reliant on memory.

  • Routinised problem-solving Repeat purchases or habitual purchases Consumers become aware of a problem in a variety of ways including:[23] The purchase of a mobile phone may
    trigger the desire for accessories such as this phone mount for use in a car.

  • [47] For this reason, personal sales representatives must be well versed in giving sales pitches and in tactics used to close the sale.

  • Consumers use a number of strategies to reduce post purchase dissonance.

  • When a purchase decision is made by a small group, such as a household, different members of the group may become involved at different stages of the decision process and
    may perform different roles.

  • Problem recognition[edit] The first stage of the purchase decision process begins with problem recognition (also known as category need or need arousal).

  • ‘Scarcity attraction’ is another technique, where the salesperson mentions that the offer is limited, as it forces the consumer to make a quicker decision and therefore spend
    less time evaluating alternatives.

  • Consumers who are less knowledgeble about a category tend to evaluate a brand based on its functional characteristics.

  • personal growth, artistic expression) Physiological needs and safety needs are the so-called lower order needs.

  • [19] The black box model is related to the black box theory of behaviourism, where the focus extends beyond processes occurring inside the consumer and also includes the relation
    between the stimuli and the consumer’s response.

  • Post-decision dissonance[54] (also known as cognitive dissonance) is the feeling of anxiety that occurs in the post purchase stage, as well as the uneasy feelings or concerns
    as to whether or not the correct decision was made at purchase.

  • As a result, new substantive knowledge was added to the marketing discipline – including such ideas as opinion leadership, reference groups, and brand loyalty.

  • At the end of the 1950s, two important reports criticised marketing for its lack of methodological rigor, especially the failure to adopt mathematically-oriented behavioural
    science research methods.

  • [35] The social media presence of a brand plays a huge part in this stage, with the effect described as “Think of regular media as a one-way street where you can read a newspaper
    or listen to a report on television, but you have very limited ability to give your thoughts on the matter.

  • It is customary to think about the types of decision roles; such as: In a family unit, an adult female often makes brand choices on behalf of the entire household, while children
    can be important influencers.

  • Definition and explanation Consumer behaviour entails “all activities associated with the purchase, use and disposal of goods and services, including the consumer’s emotional,
    mental and behavioural responses that precede or follow these activities.

  • Through their experiences consumers can learn and also engage in a process called hypothesis testing.

  • The consumer’s underlying motivation drives consumer action, including the information search and purchase decision.

  • Origins of consumer behaviour In the 1940s and 1950s, marketing was dominated by the so-called classical schools of thought which were highly descriptive and relied heavily
    on case study approaches with only occasional use of interview methods.

  • Social Marketing,[61] Customised Marketing,[62] brand-name shopping,[63] and the consumer’s perception of the price of the commodity (directly expressed as the consumer’s
    sensitivity to price) are all main factors for understanding consumer attitudes, and help explain the reaction of market demand to price changes.

  • [34] A considerable body of research suggests that consumers are predisposed towards brands with a personality that matches their own and that a good match can affect brand
    preference, brand choice, satisfaction with a brand, brand commitment and loyalty, and the consumer’s propensity to give positive word-of-mouth referrals.

  • Motivations and emotions[edit] Maslow’s hierarchy suggests that people seek to satisfy basic needs such as food and shelter before higher order needs become meaningful.

  • According to the American Marketing Association, consumer behaviour can be defined as “the dynamic interaction of affect and cognition, behaviour, and environmental events
    by which human beings conduct the exchange aspects of their lives.”

  • For example, one person may suggest the purchase category, another may search for product-related information while yet another may physically go to the store, buy the product,
    and transport it home.

  • Areas of particular interest include risk perception and risk reduction activities, brand switching, channel switching, brand loyalty, customer citizenship behaviours, and
    post purchase behavioural intentions and behaviours including brand advocacy, referrals, word of mouth activity etc.

  • [145] As online environments become more important as a consumer search tool, it may be prudent for web designers to consider site-design issues such as ease of navigation,
    lest poor design contribute to customer frustration thereby engendering a bad mood and ultimately leading to unfavourable product/brand evaluations.

  • • Financial Risk: the potential financial loss in the event of a poor decision • Performance Risk (also known as functional risk): the idea that a product or service will
    not perform as intended • Physical Risk: the potential for physical harm if something goes wrong with a purchase • Social Risk: the potential for loss of social status associated with a purchase • Psychological Risk: the potential for a purchase
    to result in a loss of self-esteem If a consumer perceives a purchase to be risky, they will engage in strategies to reduce the perceived risk until it is within their tolerance levels or, if they are unable to do so, withdraw from the purchase.

  • [citation needed] An example of switching that includes both monetary and psychological costs is when Android or Apple users wish to switch to a different platform, they would
    need to sacrifice their data, including purchased music tracks, apps, or media and may also need to learn new routines to become an efficient user.

  • The marketing literature identifies many different types of risk, of which five are the most frequently cited:[113] Facilitating trial of a product may help to alleviate risk
    perceptions.

  • [109] Consumer decision styles are important for marketers because they describe behaviours that are relatively stable over time and are therefore useful for market segmentation.

  • [101] Both panic buying and revenge buying were compensatory in nature and therapeutic in nature – an attempt for consumers to control an external situation that was out of
    their internal control, as well as provide comfort, security, and improvement of well-being.

  • Spurious loyalty can also occur when there are no genuine alternatives or the consumer is ‘locked-in’ to purchasing a given brand due to some quasi-contractual arrangement
    or membership status which creates difficulties for switching.

  • [110] Other topics in consumer behaviour In addition to understanding the purchasing decision, marketers are interested in a number of different aspects of consumer behaviour
    that occur before, during, and after making a purchase choice.

  • In the case of credence goods, such as many professional services, the consumer finds it difficult to fully appreciate the quality of the goods even after purchase and consumption
    has occurred.

  • A consumer may be prompted to switch channels when the product or service can be found cheaper, when superior models become available, when a wider range is offered, or simply
    because it is more convenient to shop through a different channel (e.g.

  • However, the exact shape and timing of curves varies in different product markets such that some innovations are diffused relatively quickly, while others can take many years
    to achieve broad market acceptance.

  • Based on these factors, the authors developed a typology of eight distinct decision-making styles:[107] • Quality conscious/Perfectionist: characterised by a consumer’s search
    for the very best quality in products; quality conscious consumers tend to shop systematically making more comparisons and shopping around to compare quality and value.

  • Services marketers have argued that risk perception is higher for services because they lack the search attributes of products (i.e.

  • Affect: Emotions, feelings and mood[edit] The consumer’s affective state has implications for a number of different dimensions of consumer behaviour, including information
    search, evaluation of alternatives, product choice, service encounters, complaining, and advertising responses.

  • [115] In terms of risk perception, marketers and economists identify three broad classes of purchase: search goods, experience goods, and credence goods with implications
    for consumer evaluation processes.

  • The first phenomenon is that customers are more open-minded to trying new brands and products because of the limitation of online channels of certain brands; the second phenomenon
    is that the long time pandemic restrictions make customers who use online channels as substitutes for their offline purchases initially now those customers have learned how to effectively use online channels for their daily lives.

  • [96] Panic buying – in response to an irrational fear of scarcity of products and heightened urgency to procure coveted items – provided a sense of control for consumers during
    the pandemic, notwithstanding a loss of control to the social, professional and health environments around them.

  • Rossiter and Bellman have proposed a classification of consumers based on brand-loyalty/switching behaviour:[132] Brand Loyals Purchase preferred brand on almost every purchase
    occasion Favourable Brand Switchers Exhibit moderate preference for the brand or brands that they buy and can be readily enticed to purchase competing brands Other Brand Switchers Normally purchase a competing brand, possibly because they
    are unaware of our brand or due to a negative experience with our brand New Category Users Those who are unaware of a category but have potential to become new users Marketers are particularly interested in understanding the factors that lead
    to brand-switching.

  • • Habitual/brand loyal: characterised by a consumer’s tendency to follow a routine purchase pattern on each purchase occasion; consumers have favourite brands or stores and
    have formed habits in choosing so the purchase decision does not involve much evaluation or shopping around.

  • In advertising, two different approaches to persuasion are common: (a) thinking ads that require cognitive processing (also known as the central route to persuasion) and,
    (b) feeling ads that are processed at an emotional level (also known as the peripheral route).

  • • Relative advantage: the degree to which an innovation is perceived to be superior to alternatives • Compatibility: the extent to which an innovation fits in with an individual’s
    values, lifestyles and past experiences • Complexity: the degree to which an innovation is perceived to be easy or difficult to understand and use • Trialability: the extent to which an individual can experiment with the innovation on a limited
    scale prior to adoption • Observability: the degree to which the results of the innovation are visible to other members of the social community Innovations with some or all of these factors are more likely to be adopted quickly.

  • Within consumer behaviour, a particular area of interest is the study of how innovative new products, services, ideas, or technologies spread through groups.

  • [144] Indeed, within the consumer behaviour literature, there is widespread agreement that the role of emotions is an area that is currently under-researched and is in need
    of greater attention, both theoretically and empirically.

  • People will choose sustainable products even though they cost more.

  • In order to explain the increasing pace of adoption, some have pointed to supply-side issues such as reduced barriers to entry and lower costs of innovation,[129][130] while
    others have argued that consumers drive adoption rates because they place a high value on the convenience of new innovations.

  • The line between emotions and mood is difficult to draw and consumer researchers often use the concepts interchangeably.

  • May occur when competing brands are seen as similar or in the case of new brands (or categories) where insufficient time has elapsed for loyalty to become established.

  • • Novelty/fashion-conscious: characterised by a consumer’s tendency to seek out new products or new experiences for the sake of excitement; who gain excitement from seeking
    new things; they like to keep up-to-date with fashions and trends.

  • Neuro-imaging studies suggest that when evaluating brands, consumers primarily use emotions (personal feelings and experiences) rather than information (brand attributes,
    features, and facts).

  • A global, large sample survey carried out by Nielsen shows that four in 10 shoppers (41%) said that getting a better price would encourage them to switch brands (or service
    provider/retailer), 26% said quality was an incentive to switch, 15% looked for a better service agreement and 8% said that improved features are a switching incentive.

  • [48] [139] Suggestion impulse buying occurs when a consumer sees a product that they have no prior knowledge about, envisions a use for it, and decides that they need it,
    and planned impulse buying happens when a consumer’s purchasing plan changes while shopping.

  • samples, test drives, sale on approval) enabling consumers to develop and understanding of the innovation and how it is used prior to purchase.

  • When switching costs are relatively low, as in the case of many fast moving consumer goods (FMCG), the incidence of brand switching tends to be higher.

  • [138] While pure impulse buying involves a customer experiencing strong desire for a product they didn’t initially plan to buy, reminded impulse buying occurs when a buyer
    remembers a need for a product by seeing it in a store.

  • An example would be a consumer who always purchases petrol from the same outlet on the way to work because there are no other outlets in the vicinity.

  • [97] The purchase of luxury products – where ‘luxury’ is defined as high quality, expensive and non-necessary[98] – is associated with positive emotions, often to compensate
    for negative feelings.

  • Emotions elicited during consumption are proposed to leave affective traces in memory that are available for consumers to access and integrate into their satisfaction assessments.

  • Customer satisfaction[edit] The relationship between affect and customer satisfaction is an area that has received considerable academic attention, especially in the services
    marketing literature.

  • [120] Research studies tend to fall into two broad categories: general diffusion research which is an approach that seeks to understand the general process of diffusion and
    applied diffusion research which consists of studies that describe the diffusion of specific products at particular moments in time or within given social communities.

  • [158] Recognition Programs operate on a quasi-membership basis where the consumer is issued with a card that upon presentation leads to various entitlements such as free upgrades,
    special privileges, or access to products/services that are not normally available to non- members, and that acknowledge the loyal customer’s “VIP” status.

  • The diffusion model developed by Everett Rogers is widely used in consumer marketing because it segments consumers into five groups, based on their rate of new product adoption.

  • They are slower to process information and consequently take longer to make decisions.

  • These goods are called credence products because the consumer’s quality evaluations depend entirely on the trust given to the product manufacturer or service provider.

  • [123] Rogers defines the diffusion of innovation as the process by which that innovation is “communicated through certain channels over time among the members of a social
    system.

  • Time refers to the rate at which the innovation is picked up by the members of the social system.

  • This occurs because the immediate emotional gain is a strong driver, and one that consumers can readily visualise whereas the more distant goal lacks sufficient strength to
    drive choice.

  • Although switching costs are often monetary, the concept can also refer to psychological costs such as time, effort, and inconvenience incurred as a result of switching.

  • • Advertising and Promotional Messages: pay closer attention to product or brand related promotion including advertising messages • Shopping Around: comparing offers and prices,
    inspecting the merchandise • Buy Known Brand: using a known, reputable brand as an indicator of quality merchandise • Buy from Reputable Store: relying on a reputable retail outlet as an indicator of quality • Product Reviews: reading independent
    reviews in main media (e.g.

  • [121] Collectively these studies suggest a certain regularity in the adoption process; initially few members adopt the innovation but over time successive, overlapping waves
    of people begin to adopt the innovation.

  • [116] Search goods, which include most tangible products, possess tangible characteristics that allow consumers to evaluate quality prior to purchase and consumption.

  • Research consistently shows that people in a positive mood are more likely to evaluate information positively.

  • Difficulties evaluating quality after consumption may arise because the cost of obtaining information is prohibitive, or because the consumer lacks the requisite skills and
    knowledge to undertake such evaluations.

  • Due to their efficiency processing information, those who are in a positive mood are generally quicker to make decisions and easier to please.

  • [93] Due to the environmental trends, people begin to shop online more to avoid physical stores and stay contactless.

  • • Impulsive: characterised by carelessness in making purchase decisions, spur of the moment purchases, and lack of significant concern with expenditure levels or obtaining
    value.

  • Research suggests that consumers place higher weightings on immediate affective rewards and punishments, while delayed rewards receive less weighting.

  • Marketing messages may also focus on compatibility and observability.

  • [140] This explains why supermarkets place these types of products at the front of the store or near the checkout where the consumer spends more time and is more likely to
    notice them and therefore more likely to pop them into the shopping basket.

  • In other words, where switching costs are relatively high, high patronage behaviour may be observed despite the absence of a favourable attitude towards the brand.

  • Accordingly, marketing communications may stress the innovation’s relative benefits over other solutions to the consumer’s problem.

  • Information search[edit] Studies have found that people in a positive mood are more efficient at information search activities.

  • Retailers use insights from this type of research to design stores in ways that maximise opportunities for impulse-buying.

  • [143] Yet other researchers note that a detailed understanding of the relationship between affect and consumer behaviour has been hampered by the lack of research in the area.

  • to gain insights into the usefulness of packaging, labelling and general usage • Day-in-the-life studies: extended visits during product usage situations to gain insights
    into norms and consumer expectations • Accompanied purchase or shop-alongs: researcher accompanies a shopper on a purchase expedition to gain insights into consumer responses to merchandising and other sales tactics • Cultural studies: similar
    to traditional ethnography; extended stays with a group or tribe with a view to uncovering the fundamental rules and conventions that govern behaviour • Guerilla ethnography: random observations in public settings to help establish research
    questions or to gain quick insights into specific behaviours • Mystery shopping: observations in the retail context with a view to gaining insights into the customer’s service experience • Multiple methodologies: combining ethnographic research
    methods with conventional research techniques with a view to triangulating results Trendspotters such as Faith Popcorn’s BrainReserve make extensive use of ethnographic research to spot emergent trends.

  • The role of aesthetics and visual fluency in relation to consumer choice[edit] Consumers decide whether or not they like a product within 90 seconds of viewing it for the
    first time.

  • This finding also suggests that even small differences in advertising copy can lead to improved outcomes.

  • [183] Although imagery reigns supreme in product design, it is important to note that type is processed just as easily as pictorial information when the consumer is already
    familiar with the product.

  • Different types of ethnographic research are used in marketing including;[185] • Observed product usage: observing regular product usage at home or work, to gain insights
    into how products are opened, prepared, consumed, stored, disposed etc.

  • Environmental impact[edit] An aspect of Individual action on climate change is consumer behaviour that affects how much and what kinds of materials are used to produce goods
    and food, how much material is recycled or composted, how much ends up as pollution, how much ends up in landfills, where goods are produced, how far they travel, and the carbon footprint of manufacturing, transportation, and disposal.

  • the decoy), the online and print option seemed like better value and a significant number of people switched to that option.

  • [181] Typographic elements[edit] Although studies have shown that of pictorial imagery is easier for consumers to process and understand,[180] the choice of typography remains
    an indispensable element of product design.

  • Studies in processing fluency and consumer behaviour have revealed that “that people prefer visual displays that are easier to process and understand.

  • Ethnographic research, also called participant observation, attempts to study consumer behaviour in natural settings rather than in artificial environment such as labs.

  • [176] Composition[edit] Composition is another visual tool that has the ability to affect information processing and influence in consumer perceptions.

  • One 2017 study found no impact of green marketing on consumer behaviour in Bangladesh.

  • In addition, researchers often turn to separate disciplines for insights with potential to inform the study of consumer behaviour.

  • [175] Therefore, a product intended to be perceived as “high quality” with a predominately orange and brown palette would lack visual fluency and would likely fail to elicit
    a positive response with consumers.

  • The findings suggest that while consumers appreciate being given some choice, the process of making a selection is painful and can lead to choice fatigue.

  • However, this can be advantageous if the consumer is already in the market for an item that is known to be inexpensive, in which case the use of yellow, orange, or brown would
    be appropriate.

  • [184] Research methods used To gain insights into consumer behaviour, researchers uses the standard battery of market research methods such as surveys, depth interviews, and
    focus groups.

  • Images with higher levels of visual fluency perceived as being more familiar, likeable, and friendly and are therefore more likely to be chosen by consumers.

  • Studies have shown that consumers in western countries will associate products that are right aligned or placed on the right side of a display to be higher quality.

  • “[173] Visually fluent products draw upon consumer’s pre-existing associations with their design elements, leading to a sense of familiarity and understanding with the product
    at hand.

  • However, marketers use ethnographic research to study the consumer in terms of cultural trends, lifestyle factors, attitudes and the way that social context influences product
    selection, consumption, and usage.

  • Consumers were exposed to variants in the advertising copy execution: “Would you be willing to help by giving a donation?”

  • Pictorial imagery is also easier to process and gains consumer’s attention faster.

  • Consumer neuroscience (also known as neuromarketing) refers to the commercial use of neuroscience when applied to the investigation of marketing problems and consumer research.

 

Works Cited

[‘1. Schivinski, Bruno (5 September 2019). “Eliciting brand-related social media engagement: A conditional inference tree framework”. Journal of Business Research. 130: 594–602. doi:10.1016/j.jbusres.2019.08.045. ISSN 0148-2963. S2CID 203045048.
2. ^
Tadajewski, M., “A History of Marketing Thought”, Ch 2 in Contemporary Issues in Marketing and Consumer Behaviour, Elizabeth Parsons and Pauline Maclaran (eds), Routledge, 2009, pp 24-25
3. ^ Sheth, J.N., “History of Consumer Behavior: a Marketing
Perspective”, in Historical Perspective in Consumer Research: National and International Perspectives, Jagdish N. Sheth and Chin Tiong Tan (eds), Singapore, Association for Consumer Research, 1985, pp 5-7.
4. ^ Fullerton, R.A. “The Birth of Consumer
Behavior: Motivation Research in the 1950s”, Journal of Historical Research in Marketing, Vol. 5, No. 2, 2013, pp.212-222
5. ^ Tadajewski, M., “A History of Marketing Thought”, Ch 2 in Contemporary Issues in Marketing and Consumer Behaviour, Elizabeth
Parsons and Pauline Maclaran (eds), Routledge, 2009, p. 28
6. ^ Plassmann, Hilke; Ramsøy, Thomas Zoëga; Milosavljevic, Milica (January 2012). “Branding the brain: A critical review and outlook”. Journal of Consumer Psychology. 22 (1): 18–36. doi:10.1016/j.jcps.2011.11.010.
ISSN 1057-7408.
7. ^ Kardes, F., Cronley, M. and Cline, T., Consumer Behavior, Mason, OH, South-Western Cengage, 2011 p.7
8. ^ “What is a consumer? definition and meaning”. BusinessDictionary. Archived from the original on 28 July 2020. Retrieved
9 November 2023.
9. ^ Kardes, F., Cronley, M. and Cline, T., Consumer Behavior, Mason, OH, South-Western Cengage, 2011 p.9; Sassatelli, R., Consumer Culture: History, Theory and Politics, Sage, 2007, p. 10
10. ^ Kardes, F., Cronley, M. and Cline,
T., Consumer Behavior, Mason, OH, South-Western Cengage, 2011 pp 10-11
11. ^ Foxal, G., “Foundations of Consumer Behaviour Analysis”, Marketing Theory, Vol. 1, No. 2, pp 165–199
12. ^ Lynn R. Kahle; Angeline G. Close (2011). Consumer Behavior
Knowledge for Effective Sports and Event Marketing. New York: Routledge. ISBN 978-0-415-87358-1.
13. ^ Elizabeth A. Minton; Lynn R. Kahle (2014). Belief Systems, Religion, and Behavioral Economics. New York: Business Expert Press LLC. ISBN 978-1-60649-704-3.
14. ^
*Schöfer, Klaus, Word-of-Mouth:Influences on the choice of Recommendation Sources, 1998. ISBN 978-3838641454
15. ^ Belch, G, Belch, M.A, Kerr, G. and Powell, I., Advertising and Promotion Management: An Integrated Marketing Communication Perspective,
McGraw-Hill, Sydney, Australia, 2009, p.126
16. ^ Mullainathan, Sendhil; Shafir, Eldar (2013). Scarcity : why having too little means so much (First ed.). New York: Henry Holt and Company. ISBN 9780805092646.
17. ^ Rossiter, J.R. and Percy, L.,
“Advertising Communication Models”, in: Advances in Consumer Research, Volume 12, Elizabeth C. Hirschman and Moris B. Holbrook (eds), Provo, UT : Association for Consumer Research, 1985, pp 510-524., Online: http://acrwebsite.org/volumes/6443/volumes/v12/NA-12
or http://www.acrwebsite.org/search/view-conference-proceedings.aspx?Id=6443
18. ^ Kenway, J. and Bullen, E., Consuming Children: Education, Entertainment, Advertising, Buckingham, Open University Press, 2001
19. ^ Sandhusen, R. L., Marketing,
2000. Cf. S. 218
20. ^ Sandhusen, Richard L.,Marketing (2000). Cf. S. 219
21. ^ J. Scott Armstrong (1991). “Prediction of Consumer Behavior by Experts and Novices”. Journal of Consumer Research. 18 (2): 251–256. doi:10.1086/209257.
22. ^ Egan,
J., Marketing Communications, London, Thomson Learning, pp 54-55
23. ^ Punj, G. and Srinivasan, N., “Influence of Problem Recognition on Search and Other Decision Process Variables: a Framework For Analysis”, in Advances in Consumer Research, Vol.
19, John F. Sherry, Jr. and Brian Sternthal (eds), Provo, UT : Association for Consumer Research, 1992, pp 491-497, Online: http://acrwebsite.org/volumes/7348/volumes/v19/NA-19
24. ^ Reilly, M. and Parkinson, T.L., “Individual and Product Correlates
of Evoked Set Size For Consumer Package Goods”, in Elizabeth C. Hirschman and Moris B. Holbrook (eds), Advances in Consumer Research, Vol. 12, Provo, UT: Association for Consumer Research, pp 492-497, Online: http://acrwebsite.org/volumes/6440/volumes/v12/NA-12
25. ^
Clemons, E. (2008). How Information Changes Consumer Behavior and How Consumer Behavior Determines Corporate Strategy. Journal of Management Information Systems, 25(2), 13-40. Retrieved from http://www.jstor.org/stable/40398715
26. ^ Kakkar, Pradeep
(July 1976). “Inert Set or Inferred Set? A Comment”. Journal of Marketing. 40 (3): 59–60. doi:10.1177/002224297604000312. S2CID 167299845.
27. ^ Roberts, John (1989). “A Grounded Model of Consideration Set Size and Composition”. Advances in Consumer
Research. 16: 749–757.
28. ^ Howard, J. A. and Sheth, J.N., The Theory of Buyer Behaviour, New York: Wiley, 1969
29. ^ “Marketing Reading: Consumer Behavior and the Buying Process ^ 8167”. HBR Store. Retrieved 1 March 2024.
30. ^ Shocker, Allan
D.; Ben-Akiva, Moshe; Boccara, Bruno; Nedungadi, Prakash (1 August 1991). “Consideration set influences on consumer decision-making and choice: Issues, models, and suggestions”. Marketing Letters. 2 (3): 181–197. doi:10.1007/BF00554125. S2CID 189942892.
31. ^
Business Dictionary, http://www.businessdictionary.com/definition/evoked-set.html Archived 2016-11-30 at the Wayback Machine
32. ^ Kotler P. & Keller, K. (2006). Marketing Management. Pearson Prentice Hall, New Jersey
33. ^ Belch, G, Belch, M.A,
Kerr, G. and Powell, I., Advertising and Promotion Management: An Integrated Marketing Communication Perspective, McGraw-Hill, Sydney, Australia, 2009, p.138
34. ^ Winchester, J. R. and Bogomolova, S., “Positive and negative brand beliefs and brand
defection/uptake”, European Journal of Marketing, Vol. 42, No. 5/6, 2008, pp.553 – 570
35. ^ Sirgy, M. J., “Using self-congruity and ideal congruity to predict purchase motivation”, Journal of Business Research, 1985, Vol. 13, No. 3, pp 195-206,
doi:10.1016/0148-2963(85)90026-8
36. ^ Nations, D. (2019). “What Is Social Media?” Lifewire.
37. ^ Sirgy, H.J., Lee, D-J and Yu, G.B., “Revisiting Self-congruity Theory in Consumer Behavior”, in Routledge International Handbook of Consumer Psychology,
Cathrine V. Jansson-Boyd and Magdalena J. Zawisza (eds), Routledge, 2017, p. 193
38. ^ Kotler, P and Armstrong, G., Principles of Marketing, Upper Saddle River, N.J., Pearson, 2014.
39. ^ Stileman, P. (2009), To What Extent has Social Media Changed
the Relationship between Brand and Consumer, Dissertation of MA Advertising, Bucks New University
40. ^ Suri, R. and Monroe, K.B., “Effect of Consumers’ Purchase Plans on the Evaluation of Bundle Offers”, in Advances in Consumer Research Vol. 22,
Frank R. Kardes and Mita Sujan (eds), Provo, UT, Association for Consumer Research, 1995 pp 588-593, Online: http://acrwebsite.org/volumes/7816/volumes/v22/NA-22
41. ^ Siddiqui, S. and Agarwal, K., “The Consumer’s Purchase Decision Process: A Theoretical
Framework”, International Journal of Science Technology and Management, Vol. 6, No. 6, 2017, pp 361-367
42. ^ Morwitz, V.G., Steckel, J. and Gupta, A., “When Do Purchase Intentions Predict Sales?” International Journal of Forecasting, Vol. 23, No.
3, 2007, pp 347-64.
43. ^ Armstrong, J. S., Morwitz, V. and Kumar, V., “Sales Forecasts for Existing Consumer Products and Services: Do Purchase Intentions Contribute to Accuracy?” International Journal of Forecasting, Vol. 16, No. 3, 2000, pp 383-397;
Retrieved from http://repository.upenn.edu/marketing_papers/143
44. ^ Business Dictionary, http://www.businessdictionary.com/definition/call-to-action.html Archived 2016-10-25 at the Wayback Machine
45. ^ Eisenberg, B., CALL TO ACTION: Secret
Formulas to Improve Online Results, Nashville, Tennessee, Thomas Nelson, 2006, p. 20
46. ^ Berry, L.L., Seiders, K., Grewal, D., 2002. Understanding service convenience. Journal of Marketing 66 (3), 1-17
47. ^ Srinivasan, N., “Pre-purchase External
Search Information”, in Valarie A. Zeithaml (ed), Review of Marketing 1990, Marketing Classics Press (AMA), 2011, pp 153-189
48. ^ Jump up to:a b Andrea, Broden; Soderberg, Caroline (2011). Impulse buying, reasons why, consumer electronics – Oh
My.
49. ^ Foxall, G. (2005) Understanding Consumer Choice, Basingstoke. Palgrave Macmillan, 2005
50. ^ Engel, James F., Kollat, David T. and Blackwell, Rodger D. (1968) Consumer Behavior, 1st ed. New York: Holt, Rinehart and Winston 1968
51. ^
Gupta, Alok; Su, Bo-Chiuan; Walter, Zhiping (2004). “Taylor & Francis Online”. International Journal of Electronic Commerce. 8 (3): 131–161. doi:10.1080/10864415.2004.11044302. S2CID 16054242.
52. ^ Gilly, Mary C.; Gelb, Betsy D. (1982). “Post-Purchase
Consumer Processes and the Complaining Consumer”. Journal of Consumer Research. 9 (3): 323–328. doi:10.1086/208927. JSTOR 2488627.
53. ^ Kuo, Ying-Feng; Wu, Chi-Ming; Deng, Wei-Jaw (2009). “The relationships among service quality, perceived value,
customer satisfaction, and post-purchase intention in mobile value-added services”. Computers in Human Behavior. 25 (4): 887–896. doi:10.1016/j.chb.2009.03.003. S2CID 42136133.
54. ^ Post-decision dissonance
55. ^ Jump up to:a b c MacInnis, D.
J.; Pieters, R. & Hoyer, W. D (2014). 486670 Consumer behaviour. Cengage Learning Australia Pty Limited.
56. ^ Jump up to:a b c Belch, G. E. & Belch, M. A (2012). Advertising and promotion: An integrated marketing communications perspective. New
York: McGraw-Hill Irwin.
57. ^ “How to Create A Customer Journey Map: From Awareness To Conversion”. Adgo. Archived from the original on 16 November 2018. Retrieved 19 October 2018.
58. ^ Woodside, Arch; Wilson, Elizabeth (1 January 1985). “Effects
of consumer awareness of brand advertising on preference”. Journal of Advertising Research. 25: 41–48.
59. ^ Jump up to:a b c Quester, P. G.; Neal, C. M.; Pettigrew, S.; et al. (2008). Consumer Behaviour: Implications for marketing strategy. Sydney:
McGraw-Hill Irwin.
60. ^ Lokhande, Murlidhar (5 May 2006). “Consumer Awareness – A Case Study of Jalna City”. Indian Journal of Marketing. xxxvi: 23–28.
61. ^ “What is social marketing? | The NSMC”. www.thensmc.com. Retrieved 9 November 2018.
62. ^
“What is custom marketing? definition and meaning”. BusinessDictionary.com. Archived from the original on 9 November 2018. Retrieved 9 November 2018.
63. ^ “Boost Awareness of Your Business’s Brand”. business.com. Retrieved 19 October 2018.
64. ^
“Product price awareness among consumers and price testing”. www.research-pmr.com. Retrieved 9 November 2018.
65. ^ Bhattacharya, C.B., Hayagreeva, R and Glynn, M.A., “Understanding the Bond of Identification: An Investigation of Its Correlates
among Art Museum Members”, Journal of Marketing, Vol. 59, No. 4 (Oct., 1995), DOI: 10.2307/1252327, pp. 46-57
66. ^ Rossiter, J and Bellman, S., Marketing Communications: Theory and Applications, Pearson Australia, 2005, pp 103-120
67. ^ Jump
up to:a b Rossiter, J.R. and Percy, L., “Emotions and Motivations in Advertising”, in Advances in Consumer Research, Vol. 18, Rebecca H. Holman and Michael R. Solomon (eds), Provo, UT, Association for Consumer Research, 1991, pp 100-110
68. ^ Pham,
M. T. and Higgins, E.T., “Promotion and Prevention in Consumer Decision Making: The State of the Art and Theoretical Propositions”, in S. Ratneshwar and David Glen Mick, (eds), Inside Consumption: Consumer Motives, Goals, and Desires, London: Routledge,
2005, pp 8-43.
69. ^ Clarke, K. and Belk. R.W., “The Effects of Product Involvement and Task Definition on Anticipated Consumer Effort”, in Advances in Consumer Research, Vol. 06, William L. Wilkie (ed.), Ann Abor, MI: Association for Consumer Research,
pp 313-318, Online: http://acrwebsite.org/volumes/9220/volumes/v06/NA-06
70. ^ McInnis, D.J. and Jaworski, B.J., “Two Routes to Persuasion Models in Advertising: Review, Critique and Research Directions”, in Valarie A. Zeithaml (ed), Review of Marketing
1990, Marketing Classics Press (AMA), 2011, pp 3-42
71. ^ Percy, Larry; Rossiter, John R. (July 1992). “A model of brand awareness and brand attitude advertising strategies”. Psychology and Marketing. 9 (4): 263–274. doi:10.1002/mar.4220090402.
72. ^
Lamb, C.W., Hair, J.F. and McDaniel, C., Essentials of Marketing, Mason, Ohio, South-Western Cengage, 2009, p. 174
73. ^ Trehan, M and Trehan, E., Advertising and Sales Management, New Delhi, VK Enterprises, p. 165
74. ^ Lynn R. Kahle; Pierre
Valette-Florence (2012). Marketplace Lifestyles in an Age of Social Media. New York: M.E. Sharpe, Inc. ISBN 978-0-7656-2561-8.
75. ^ Kardes, F., Cronley, M. and Cline, T., Consumer Behavior, Mason, OH, South-Western Cengage, 2011 p.329
76. ^ Weber,
E.U., and Hsee, C., “Cross-cultural Differences in Risk Perception, but Cross-cultural Similarities in Attitudes Towards Perceived Risk”, Management Science, Vol. 44, no. 9, 1998, pp 1205- 1217
77. ^ Hoyer, Wayne; Deborah, MacInnes; Pieters, Rik
(2018). Consumer behavior (7th ed.). Australia: Cengage. p. 431. ISBN 9781337514804.
78. ^ Hoyer, Wayne; Deborah, MacInnes; Pieters, Rik (2018). Consumer behavior (7th ed.). Australia: Cengage. p. 432. ISBN 9781337514804.
79. ^ Hoyer, Wayne; Deborah,
MacInnes; Pieters, Rik (2018). Consumer behavior (7th ed.). Australia: Cengage. p. 439. ISBN 9781337514804.
80. ^ Carroll, C.E., The Handbook of Communication and Corporate Reputation, Chichester, Sussex, Wiley, 2013, p. 44
81. ^ Johnson, M.D.
and Lehmann, D.R., “Consumer Experience and Consideration Sets For Brands and Product Categories”, in Advances in Consumer Research, Vol. 24, 1992, Merrie Brucks and Deborah J. MacInnis (eds), Provo, UT : Association for Consumer Research, Pages:
295-300.
82. ^ Reisch, Lucia A.; Zhao, Min (November 2017). Behavioural economics, consumer behaviour and consumer policy: state of the art. Cambridge University Press. p. 199.
83. ^ Torelli, C.J. and Rodas, M., “Globalization, branding and multicultural
consumer behavior”, in Routledge International Handbook of Consumer Psychology, Cathrine V. Jansson-Boyd and Magdalena J. Zawisza (eds), Routledge, 2017, p. 41-58
84. ^ Neal, D., “The Ferrari with the Dragon Tattoo”, Wall Street Journal, 10 May
2012
85. ^ Schouten, J and Mcalexander, J.H., “Subcultures of Consumption: An Ethnography of the New Bikers”, Journal of Consumer Research, vol, 22, no1, June 1995
86. ^ Bhattacharya, C. B., Rao, H. and Glynn, M.A., “Understanding the Bond of
Identification: An Investigation of its Correlates among Art Museum Members”, Journal of Marketing, Vol. 59, no. 4, 46-57
87. ^ The Age, [Newspaper, Melbourne, Australia], “Bargain Basement Blues”, 2 September 2002 http://www.theage.com.au/articles/2002/09/20/1032054962889.html.
Note that while each quintile accounts for 20% of the population at the commencement of a measurement period, bracket creep can occur over time, explaining why ABs account for 24% in 2002
88. ^ Ramya, N (2016). “Factors Affecting Consumer Buying
Behavior”. ResearchGate.
89. ^ Iyengar, R., Valente, T. and Van den Bulte, C., “Opinion Leadership and Social Contagion in New Product Diffusion”, in Advances in Consumer Research, Vol 36, eds. Ann L. McGill and Sharon Shavitt, Duluth, MN: Association
for Consumer Research, pp 36-37
90. ^ Paul McIntyre, “Independent bloggers overtake celebrities as key social media influencers”, Australian Financial Review, 22 June 2015, Online: http://www.afr.com/business/independent-bloggers-overtake-celebrities-as-key-social-media-influencers-20150528-ghbovu;
(Note that an abridged version of this article also appeared in Marketing Magazine, 16 July 2015); Blogger Outreach dethroned Celebrity Endorsement, Marketing Magazine, 16 July 2015, Online: https://www.marketingmag.com.au/hubs-c/blogger-outreach-dethroned-celebrity-endorsement
91. ^
Flynn, L. R., Goldsmith, R. E. and Eastman, J. K., “Opinion leaders and opinion seekers: Two new measurement scales”, Journal of Academy of Marketing Science, vol. 24, no. 2, pp 137-147.
92. ^ “COVID 19 Consumer Behaviour Research”. cxm.co.uk. Retrieved
10 February 2020.
93. ^ Jump up to:a b c d e f Samuel Lins, Sibele Aquino, Ana Raquel Costa (14 March 2021) ‘From panic to revenge: Compensatory buying behaviours during the pandemic’, International Journal of Psychiatry.
94. ^ Cambridge Dictionary,
Cambridge University Press (2020), accessed 23 April 2021 from: https://dictionary.cambridge.org/dictionary/english/panic-buying.
95. ^ Jump up to:a b Steven Taylor (March 2021) ‘Understanding and managing pandemic-related panic buying’ Journal
of Anxiety Disorders 78.
96. ^ ABC News Video Services (26 June 2020) ‘VIDEO: Prime Minister Scott Morrison says there is no need for panic buying’ ABC News, accessed 23 April 2021 from: https://www.abc.net.au/news/2020-06-26/prime-minister-scott-morrison-says-no-need-for-panic-buying/12398700;
Zona Black (3 June 2020) ‘Panic buying: Australians top global charts for toilet paper stockpiling’ The New Daily, accessed 23 April 2021 from: https://thenewdaily.com.au/finance/consumer/2020/06/03/panic-buy-australia-why/; BBC News Services (26
June 2020) ‘Australia caps toilet rolls sales after panic-buying’ BBC News, accessed 23 April 2021 from: https://www.bbc.com/news/world-australia-53196525.
97. ^ Tianwei Zhang (13 April 2020) ‘Hermes hauled in $2.7 million in one China store
on Saturday: sources’ Women’s Wear Daily, accessed on 23 April 2021 from: https://wwd.com/fashion-news/fashion-scoops/hermes-hauled-in-2-7-million-in-one-china-store-on-saturday-sources-1203559738/. See also: Shalini Nagarajan (16 April 2020) ‘French
luxury brand Hermes pulls in US$2.7 million in a day at a flagship store in China as wealthy shoppers splurge after the coronavirus lockdown’ Business Insider Australia, accessed on 23 April 2021 from: https://www.businessinsider.com.au/wealthy-chinese-shoppers-slurge-at-hermes-store-in-china-2020-4?r=US&IR=T;
Robert Williams, Jinshan Hong (12 March 2020) ‘Revenge spending spurs Chinese luxury rebound from virus’ Bloomberg, accessed on 23 April 2021 from: https://www.bloomberg.com/news/articles/2020-03-12/luxury-shoppers-in-china-emerge-from-quarantine-to-buy-again.
98. ^
Caroline Tynan, Sally McKechnie, Celine Chhuon (1 August 2009) ‘Co-creating value for luxury brands’ Journal of Business and Research 63 (2010) 1156 – 1163.
99. ^ Sonny Nwankwo, Nicolas Hamelin, Meryem Khaled (5 May 2014) Journal of Retailing
and Consumer Services 21 (2004) 735 – 744.
100. ^ Jun-Hwa-Cheah, David Waller, Park Thaichon, Hiram Ting, Xin-Jean Lim ‘Price image and the Sugrophobia effect on luxury retail purchase intention’ (5 June 2020) Journal of Retailing and Consumer
Services 57 (2020) 102188.
101. ^ Selin Atalay, Margaret Meloy (2 May 2011) ‘Retail therapy: a strategic effort to improve mood’ Psychology and Marketing 28(6), 638 – 660.
102. ^ Jump up to:a b Kannan, P.K.; Kulkarni, Gauri (1 January 2021).
“The impact of Covid-19 on customer journeys: implications for interactive marketing”. Journal of Research in Interactive Marketing. 16 (1): 22–36. doi:10.1108/JRIM-03-2021-0078. ISSN 2040-7122. S2CID 239635412.
103. ^ Timotius, Elkana; Octavius,
Gilbert Sterling (2021). “Global Changing of Consumer Behavior to Retail Distribution due to Pandemic of COVID-19: A Systematic Review”. Journal of Distribution Science. 19 (11): 69–80. doi:10.15722/jds.19.11.202111.69. ISSN 1738-3110.
104. ^ Durvasula,
S., Lysonski, S. and Andrews, J.C. (1993), “Cross-cultural generalizability of a scale for profiling consumers’ decision-making styles”, The Journal of Consumer Affairs, Vol. 27 No. 1, pp. 55-65
105. ^ Sproles, G.B. (1985), “From perfectionism
to fadism: measuring consumers’ decision-making styles”, in Schnittgrund, K.P. (Ed.), American Council on Consumer Interests (ACCI), Conference Proceedings, Columbia, MO, pp. 79-85.
106. ^ Sproles, G. B. (1983). Conceptualisation and measurement
of optimal consumer decision making. Journal of Consumer Affairs, Vol. 17 No. 2, pp 421-438.
107. ^ Sproles, G. B., & Kendall, E. L., “A methodology for profiling consumers’ decision-marking styles”, Journal of Consumer Affairs, Vol., 20 No. 2,
1986, pp 267 -279
108. ^ Jain, R. and Sharma, A., “A Review on Sproles & Kendall’s Consumer Style Inventory (CSI) for Analyzing Decision Making Styles of Consumers”, Indian Journal of Marketing, Vol. 43, no. 3, 2013
109. ^ Bauer, H. H., Sauer,
N. E., and Becker, C., “Investigating the relationship between product involvement and consumer decision-making styles”, Journal of Consumer Behaviour. Vol. 5, 2006 342–354.
110. ^ Mishra, A., “Consumer innovativeness and consumer decision styles:
a confirmatory and segmentation analysis”, The International Review of Retail, Distribution and Consumer Research, Vol. 25, no. 1, 2015, doi:10.1080/09593969.2014.911199
111. ^ Dowling, Grahame R. and Richard Staelin (1994), “A Model of Perceived
Risk and Intended Risk-handling Activity”, Journal of Consumer Research, 21 (June), pp 119-34.
112. ^ Mitchell, V.‐W. and Boustani, P., “A Preliminary Investigation into Pre‐ and Post‐Purchase Risk Perception and Reduction”, European Journal of
Marketing, Vol. 28 No 1, 1994, pp.56 – 71
113. ^ Ross, I., “Perceived Risk and Consumer Behavior: A Critical Review”, in Advances in Consumer Research, Volume 2, Mary Jane Schlinger, (ed) MI, Association for Consumer Research, 1975, pp 1-20

114. ^ Büttner, O.B., Schulz, S. and Silberer, S, “Perceived Risk and Deliberation in Retailer Choice: Consumer Behavior towards Online Pharmacies”, Advances in Consumer Research, vol. 33, 2006
115. ^ Mitchell, V-W. and Greatorex, M. “Risk Perception
and Reduction in the Purchase of Consumer Services”, The Service Industries Journal, Vol. 13, no. 4, 1993, pp 179-200
116. ^ Zeithaml, V. A. How Consumer Evaluation Processes Differ Between Goods and Services, (1981), in: AMA Conference Proceedings,
James H. Donnelly and William R. George (eds), Chicago IL: American Marketing Association, p. 186-190
117. ^ Jourdan, P., “Search Or Experience Products: an Empirical Investigation of Services, Durable and Non-Durable Goods”, in: Asia Pacific
Advances in Consumer Research , Volume 4, Paula M. Tidwell and Thomas E. Muller (eds), Provo, UT, Association for Consumer Research,(2001), pp 167-174 Online:http://acrwebsite.org/volumes/11342/volumes/ap04/AP-04
118. ^ Dowling, G.R. and Staelin,
R., “A Model of Perceived Risk and Intended Risk-Handling Activity”, Journal of Consumer Research, Vol. 21, No. 1, 1994, pp. 119-134
119. ^ Mitchell, V-W. and Greatorex, M., “Risk Perception and Reduction in the Purchase of Consumer Services”,
Service Industries Journal, 1993, pps 179-200
120. ^ Rogers, E.M., “New Product Adoption and Diffusion”, Journal of Consumer Research, Vol. 2, No. 4, 1976, pp. 290-301
121. ^ Mahajan, V. and Peterson, E.A, Models for Innovation Diffusion,
Volume 48, 1985.
122. ^ Business Dictionary, http://www.businessdictionary.com/definition/diffusion-of-innovation.html Archived 2016-10-30 at the Wayback Machine
123. ^ Lowrey, T.M., “The Use of Diffusion Theory in Marketing: a Qualitative
Approach to Innovative Consumer Behavior”, in Advances in Consumer Research, Vol. 18, eds. Rebecca H. Holman and Michael R. Solomon, Provo, UT : Association for Consumer Research, 1991, pp 644-650. Online: http://acrwebsite.org/volumes/7230/volumes/v18/NA-18.
124. ^
Rogers, E.M., Diffusion of Innovations, New York, The Free Press, p. 5.
125. ^ Based on Rogers, E.M., The Diffusion of Innovations, 5th ed., N.Y., Free Press, 2003
126. ^ Rogers, E.M., Diffusion of Innovations, 5th ed., New York, The Free
Press, 2003 pp 11-12.
127. ^ Desilver, D.”The Ever Accelerating Rate of Technology Adoption, Pew Research, 14 March 2014, Online: http://www.pewresearch.org/fact-tank/2014/03/14/chart-of-the-week-the-ever-accelerating-rate-of-technology-adoption/
128. ^
The figure is based on data supplied by Google, https://www.docs.google.com/spreadsheets/d/1uvn7o1X19Equ5EDvjXEMxpziAEAsXTJK9Xbf8NwYiAo/htmlview
129. ^ Market Realist, http://marketrealist.com/2015/12/adoption-rates-dizzying-heights/
130. ^
McGrath, R., “The Pace of Technology Adoption is Speeding Up”, Harvard Business Review, 25 November 2013
131. ^ Forbes Technology Council, “How Consumers are Impacting the Adoption of New Technology, Forbes Blog, 21 June 2016, Online: https://www.forbes.com/sites/forbestechcouncil/2016/06/21/how-consumers-are-impacting-the-adoption-of-new-technology/#5a48cc917ba6
132. ^
Rossiter, J and Bellman, S., Marketing Communications: Theory and Applications, Pearson Australia, 2005, pp 80-87.
133. ^ Nielsen International, Global Survey of Loyalty Sentiment, 2013: [Topline survey findings], Online: http://www.nielsen.com/us/en/insights/news/2013/the-price-is-right-incentives-that-stimulate-switching-behavior.html
134. ^
“Explaining Consumers’ Channel-Switching Behavior Using the Theory of Planned Behavior” (PDF).
135. ^ Roy Morgan Research, “How Vital are Vitamins:, Research Finding No. 5503, Media Release, 14 March 2014 online: http://roymorgan.com.au/findings/5503-how-vital-are-vitamins-201403252241
Archived 6 October 2016 at the Wayback Machine
136. ^ Reardon, J., McCorkle, D.E. “A Consumer Model for Channel Switching Behavior”, International Journal of Retail and Distribution Management, Vol. 30, no. 4, pp.179 – 185
137. ^ Dholakia1,
R.R., Zhao, M. and Dholakia, N., “Multichannel retailing: A case study of early experiences.”, Journal of Interactive Marketing, vol. 19, March, pp 63–74, 2009, DOI: 10.1002/dir.20035
138. ^ Stern, Hawkins (1 January 1962). “The Significance
of Impulse Buying Today”. Journal of Marketing. 26 (2): 59–62. doi:10.2307/1248439. JSTOR 1248439.
139. ^ Weber, Elke U.; Baron, Jonathan (1 January 2001). Conflict and Tradeoffs in Decision Making. Cambridge University Press. ISBN 9780521772389.
140. ^
Nielsen Research, “Connecting What Consumers Demand with What Shoppers Buy”, 2013
141. ^ Cited in Bagozzi, R., Gurhan-Canli, Z., Priester, J., The Social Psychology Of Consumer Behaviour, Open University Press, Buckingham, PA, 2002, p. 38
142. ^
Eagly, A.H., and Chaiken, S. The Psychology of Attitudes, Harcourt Brace Jovanovich, Fort Worth, Texas, 1993.
143. ^ McPhail, J. and Mattson, J “The Effect of Mood States on the Dyadic Service Encounter”, Asia Pacific Advances in Consumer Research,
Vol. 2, eds. Russel Belk and Ronald Groves (eds), Provo, UT : Association for Consumer Research, 1996 pp 41-46. Online: http://www.acrwebsite.org/search/view-conference-proceedings.aspx?Id=11530
144. ^ Johnson, A.R. and Stewart, D.W., “A Reappraisal
of the Role of Emotions in Consumer Behaviour: Traditional and Contemporary Approaches”, in Malhotra, N. K., Review of Marketing Research, Vol 1, Armonk, London, 2005, pp 3-33
145. ^ Bagozzi, R., Gurhan-Canli, Z., Priester, J., The Social Psychology
Of Consumer Behaviour, Open University Press, Buckingham, PA, 2002, pp 60-63
146. ^ Cohen, J.B.; Pham, M.T.; Andrade, E.B. (1 June 1999). “The Nature and Role of Affect in Consumer Behavior”. APA PsycNet: 33–34. Retrieved 9 September 2021.
147. ^
Gountas, S. and Gountas, J. “The Influence of the Customer’s Emotions on their Service Product Evaluation”, Perdue, R.R. and Immermans, H.J. P. and Uysal, M. Consumer Psychology of Tourism, Hospitality and Leisure, (Vol. 3), 2004
148. ^ Szymanski,
D.M. and Henard, D.H, “Customer satisfaction; A Meta-Analysis of the Empirical Evidence”, Journal of the Academy of Marketing Science, vol. 29, no. 1 2001 pp 16-35, Online: http://davidhenard.com/Landing_Page/About_files/Szymanski%20%26%20Henard%202001.pdf
Archived 2016-10-12 at the Wayback Machine
149. ^ https://commons.erau.edu/cgi/viewcontent.cgi?article=1017&context=db-management [bare URL PDF]
150. ^ Wu, Wann-Yih; Anridho, Nadia (1 January 2016). “The antecedents of brand loyalty: a meta-analysis
study”. International Journal of Services and Standards. 11 (3): 242. doi:10.1504/IJSS.2016.10000889 – via ResearchGate.
151. ^ Eisend, Martin; Stokburger-Sauer, Nicola E. (27 February 2013). “Brand personality: A meta-analytic review of antecedents
and consequences”. Marketing Letters. 24 (3): 205–216. doi:10.1007/s11002-013-9232-7. S2CID 144201875.
152. ^ Cacioppo, J.T., Petty, R.E.; Chuan Feng, K. and Rodriguez, R. “Central and peripheral routes to persuasion: An individual difference
perspective”, Journal of Personality and Social Psychology, Vol 51, No. 5, 1986, pp 1032-1043. https://dx.doi.org/10.1037/0022-3514.51.5.1032
153. ^ Murray, P.N., “How Emotions Influence What We Buy: The emotional core of consumer decision-making”,
Psychology Today, Feb 26, 2013 Online: https://www.psychologytoday.com/blog/inside-the-consumer-mind/201302/how-emotions-influence-what-we-buy
154. ^ Heath, R.; Brandt, D. & Nairn, A (2006). “Brand Relationships: Strengthened by Emotion, Weakened
by Attention”. Journal of Advertising Research. 46 (4): 410–419. doi:10.2501/s002184990606048x. S2CID 54530013.
155. ^ Fill, C (2013). Marketing communications: Brands, experiences and participation. United Kingdom: Pearson Education Limited.
156. ^
Dick, A.S. and Basu, K. “Customer Loyalty: Toward an Integrated Conceptual Framework”, Journal of the Academy of Marketing Science, Vol. 22, no. 2, 1994, pp 99-113
157. ^ Gallo, A., “The Value of Keeping the Right Customers, Harvard Business
Review Online, https://hbr.org/2014/10/the-value-of-keeping-the-right-customers
158. ^ Wirtz, J., Mattila, A.S. and Lwin, M.O., “How Effective Are Loyalty Reward Programs in Driving Share of Wallet?” Journal of Service Research, Volume 9, No.
4, 2007, pp 327-334 DOI: 10.1177/1094670506295853
159. ^ Rust, R.T., Zeithaml, V.A. and Lemon, K.N., Driving Customer Equity: How Customer Lifetime Value is Reshaping Corporate Strategy, The Free Press, N.Y., 2000, p. 111
160. ^ Ryu, G. and
Feick, L., “A Penny for Your Thoughts: Referral Reward Programs and Referral Likelihood”, Journal of Marketing, Vol. 71, January 2007, pp 84–94
161. ^ Bove, L.L., Pervan, S.J., Beatty, S.E. and Shiu, E, “Service worker role in encouraging customer
organizational citizenship behaviors”, Journal of Business Research, vol. 62, 2009, pp 698–705, doi:10.1016/j.jbusres.2008.07.003
162. ^ Bove, L., Robertson, N. and Pervan, S., “Customer Citizenship Behaviours: Towards the Development of a Typology”,
Australia New Zealand Marketing Academy Conference Proceedings, Adelaide, 1–3 December 2003
p. 332
163. ^ Fishbein, M., and Ajzen, I., Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, 1975, Addison-Wesley, Reading, MA
164. ^ Howard, J.A. and Sheth, J.N., 1969, The Theory of Buyer Behavior, Vol. 14.
New York, Wiley
165. ^ Shun, C. and Yunjie, X., “Effects of outcome, process and shopping enjoyment on online consumer behaviour”, Electronic Commerce Research and Applications, Vol. 5, 2006, pp 272–28,

166. ^ Jílková, Petra; Králová, Petra (February 2021). “Digital Consumer Behaviour and eCommerce Trends during the COVID-19 Crisis”. International Advances in Economic Research. 27 (1): 83–85. doi:10.1007/s11294-021-09817-4. ISSN 1083-0898.
PMC 7988251.
167. ^ Shun, C. and Yunjie, X., “Effects of outcome, process and shopping enjoyment on online consumer behaviour”, Electronic Commerce Research and Applications, Vol. 5, 2006, pp 275–76,

168. ^ Cited in Dann, S. and Dann, S., E-Marketing: Theory and ApplicationLondon, Palgrave-Macmillan, 2011, pp 144-45
169. ^ Moe, W. (2003). “Buying, Searching, or Browsing: Differentiating Between Online Shoppers Using In-Store Navigational
Clickstream”. Journal of Consumer Psychology. 13 (1): 29–39. doi:10.1207/s15327663jcp13-1&2_03.
170. ^ Moe, W.; Fader, P. (2004). “Capturing evolving visit behavior in clickstream data”. Journal of Interactive Marketing. 18 (1):
5–19. CiteSeerX 10.1.1.37.5128. doi:10.1002/dir.10074. S2CID 2776467.
171. ^ Chaffey, D. (2006). Internet marketing (3rd ed.. ed.). Harlow: Financial Times Prentice Hall. p. 109. ISBN 978-1405871815.
172. ^ Jump up to:a b Moir,
Diane (19 October 2011). “Trademark Protection of Color Photo credit: https://www.flickr.com/photos/kasya/4635296297/’]