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This paper considers the brand awareness and anchor influence on consumers' live-streaming purchases, and explores the existence of “free-riding” behavior, the comparison of brand promotion effect and active live-streaming effect and the optimal strategic combination between the brand and the anchor. The authors investigate the evolutionary stabilization strategies of the bounded rational brand and anchor, and explore the conditions for the realization of the optimal strategy. Management suggestions for the development of live streaming commerce can be provided in this paper.

Two significant models are used in this paper. The Stackelberg model is used to study the “free-riding” behavior, the comparison of brand promotion effect and active live-streaming effect and the optimal strategic combination between the brand and the anchor. Using evolutionary game theory to get the evolutionary stable equilibrium strategies and analyze the binary equilibrium strategy of the bounded rational brand and anchor. In addition, relevant simulation analysis is conducted using realistic data to verify the conclusions and for further analysis, making the conclusions of the paper have realistic significance.

The study shows that “free-riding” behavior exists and the positive effect of brand promotion is greater than that of active live-streaming. The brand and the anchor take active actions as the optimal strategy. As the sensitivity coefficient of consumers to live-streaming effort and the sensitivity coefficient of consumers to brand promotion change, various evolutionary stabilization strategies will appear. When the two sensitivity coefficients are below a certain threshold, the game sides will reach the optimal strategic combination to obtain the maximum benefits. When they rise above this threshold, it is counterproductive instead. The system achieves the optimal strategic combination when the difference factor between effort cost and promotion cost must be higher than a certain value, but when it takes the smallest possible value, the game sides tend to take active actions. This study can provide management suggestions for the sustainable development of the live-streaming model.

This paper shows that under certain conditions, the brand and the anchor can evolve into the optimal strategy to maximize the profits of both parties, which has certain practical significance for the prosperous development of live streaming commerce. In future research, the authors will consider the regulatory role of the government and construct a more realistic game model to provide constructive suggestions for the sustainable prosperity of live streaming commerce. Meanwhile, there are also games between multiple brands and multiple anchors, as well as games among brands-anchors-the live streaming platforms, and the authors will conduct more in-depth research in the future.

So far, the co-impact of anchor influence and brand awareness has not been considered simultaneously in published articles. This paper provides theoretical guidance for the behavioral choices of the brand and the anchor under the live streaming commerce, which is conducive to the prosperous development of live streaming commerce.

Companies spend millions on training their sales representatives. Thousands of textbooks have been published; thousands of training videos have been recorded. Hundreds of good pieces of advice and tips for sales representatives have been presented along with hundreds of sales methods and techniques. Probably the largest number of indicators and measures are applied in sales and distribution. On the one hand, this is a result of the fact that sales provide revenue and profit to a company; on the other hand, the concept of management by objectives turns out to be most effective in regional sales teams with reference to sales representatives and methods of performance evaluation. As a result, a whole array of indices has been created which enable the evaluation of sales representatives’ work and make it possible to manage goods distribution in a better way.

The indices presented in this chapter are rooted in the consumer market and are applied most often to this type of market (particularly in relation to fast-moving consumer goods at the level of retail trade). Nevertheless, many of them can be used on other markets (services, means of production) and at other trade levels (wholesale).

Although the values of many indices presented herein are usually calculated by market research agencies and delivered to companies in the form of synthetic results, we have placed the emphasis on the ability to determine them independently, both in descriptive and exemplifying terms. We consider it important to understand the genesis of indices and build the ability to interpret them on that basis. What is significant is that the indices can be interpreted differently; the same index may provide a different assessment of a product’s, brand or company’s position in the market depending on the parameters taken into account. Therefore, we strive to show a certain way of thinking rather than give ready-made recipes and cite ‘proven’ principles. Sales and distribution are dynamic phenomena, and limiting them within the framework of ‘one proper’ interpretation would be an intellectual abuse.

Although managers can use panel data to monitor their brands’ performance in fast‐moving‐consumer‐goods categories, the regularities researchers have documented apply to stationary and unpartitioned marketplaces. However, the introduction of a new brand may alter the structure of a marketplace and thus the behaviour patterns consumers display. This paper discusses the regularities typically observed in stable markets and considers these in the context of a market that had just experienced a new brand launch. It is concluded that the new brand behaved as an established brand very quickly and that the generalisations used to benchmark existing brands provided accurate predictions of the new brand’s performance.

The purpose of this paper was to explore the role knowledge sharing plays in both firm-sponsored (FS) and user-generated (UG) Online Brand Communities (OBCs) on Facebook. Branding through online mediums is an under-researched area that is slowly gaining attention in the literature. In some ways, action has come first as theory struggles to catch up with technological advances. Given that social sharing behaviours (i.e. online social networking) are arguably driving the strategic direction of marketers, it is important to understand the discourse that is being communicated. One such avenue is through participation in an OBC. While it is apparent that research is growing in the OBC area, there are still areas of interest that have gained little attention.

Data were collected using netnography, an appropriate yet under-applied methodological technique used to investigate the consumer behaviour of cultures and communities present on the Internet. Specifically, Facebook Pages relating to five OBCs based on the cruise-liner P & O Australia have been chosen for this case study.

Results indicate that in both the FS and UG OBCs, knowledge-sharing was seen to have an important influence on pre-purchase decision-making. It also acted as a mechanism for trust building and sharing brand experiences and as an important encouragement to developing a sense of community among community members. A particularly interesting outcome of this research was the way in which consumers have taken on an active role in co-creating brand identity, which seemingly illuminates the role of brand management in social media.

Given that this research was conducted with a real brand, with real customers, in a real OBC, the findings also point to some important practical applications. This study has found that the role of brands in their online forums is paramount, and as such, highlights the importance of effective brand governance. The rise of technology brings increased opportunities for a brand to reach out to their consumers. This study makes a further contribution by providing insights into how the consumer–brand relationship is shaped by the communication that occurs between consumers. To this end, consumers see it as the brand’s responsibility to monitor such online platforms, thus indicating the management of OBCs needs to be at the forefront of brand management practices.

This study represents one of the earliest investigations of brand communities facilitated by social media, specifically focusing on Facebook as the communication platform. Importantly, this study increases our knowledge of consumer interaction in social media, with an emphasis towards the role that knowledge sharing contributes to OBCs and the differences prevalent between FS and UG online communities.

The term ‘strategy’ is one of the most frequently used terms in business, and its application in marketing is particularly common. Company strategy, market strategy, marketing strategy, sales strategy, promotion strategy, distribution strategy, low pricing strategy – it would take a long time to list all of them. Although this term is so commonly in use, its definition is not as straightforward and it can be interpreted in different ways. In comparison with tactical decisions, strategy is much more significant for an organisation as it brings long-lasting consequences. It is implemented by higher level managers on a regular basis, and it is based on external, often subjective information, so decisions – especially at the time they are made – are difficult to evaluate.

Taking into consideration the fact that strategy refers to a long-term rather than a short-term period, strategic decisions serve as the basis for undertaking operational activities. However, marketing refers to the market and the competition. It is possible to claim that marketing strategy is trying to find an answer to the question to which path an organisation should follow in order to achieve its goals and objectives. If, for example, a company has a goal to generate a profit of PLN 1 million by selling 100,000 pieces of a product, the market strategy should answer at least the following two questions:

1. Who will be our target group, for example, who will purchase the 100,000 pieces of the product?

2. Why is it us from whom a potential buyer should purchase the product?

Who will be our target group, for example, who will purchase the 100,000 pieces of the product?

Why is it us from whom a potential buyer should purchase the product?

The target market will be defined if a reply to the first question is provided. The second question identifies the foundations of competitive advantage. These two issues, that is, target market and competitive advantage are the strategic marketing issues. You cannot change your target group unexpectedly while competitive advantage is the basis for changing decisions regarding prices, promotions and sales.

This chapter describes the measures of marketing activities which refer to strategic aspects and testify a company’s market position – the measures of the performance of target groups and competitive advantage. Readers’ attention should be also focused on the indices that are less popular in Poland and, therefore, may be underestimated. It seems that some of them, for example, the index of marketing resources allocation and the marketing risk index, provide a lot of valuable information and, at the same time, make it possible to show the value of marketing investments. Their wider use in the near future is only a matter of time.

This study attempts to ascertain the essential dimensions and components of university brand image, including the cognitive attributes (service/educational quality) and affective attributes (corporate brand image) of the university.

The study develops, explores and presents a student-consumer behavioral response model based on students’ experiences at university, exploring the relationship between these attributes with satisfaction and behavioral response [word-of-mouth (WOM)].

Findings reveal that both branding aspects – brand experience and corporate brand image – follow a rational thought process first before an affective component is then taken into account, resulting in brand promise and loyalty. The study identifies several important cognitive brand image attributes and experiences that guide brand positioning for the Malaysian market, linking these to satisfaction and WOM.

It was conducted in a single case-university and future research could replicate this in other schools/institutions. Cross-validation to other private institutions lies outside the scope of this study. Furthermore, although the study has identified specific attributes of university brands, they tend to be seen or interpreted as overall for both brand experiences and corporate brand image attributes because of the reflective nature of the construct, and also they tend to be seen as higher order rather than at individual levels. Further research is needed to analyze these dimensions using a quantitative approach at individual levels and testing the conceptual model as presented in the conceptual model. The study is focused on one Asian market (Malaysian students in X University) chosen for its potential growth in the future.

The present study contributes to the identification of specific students’ needs and attributes including courses and modules, reputable schools, the environment (e.g. campus – near to lecturer, international), helpful lecturers and the university location. Addressing the right brand attributes enhance and clarify the positioning aspect of the university brand, while simultaneously addressing the needs and wants of consumers. For example, by understanding the culture – consumer buying behavior within this setting, marketers or school administrators can identify exactly, which behaviors could be changed and by which mechanism i.e. talking to sponsors, and introducing activities to increase visibility/image in Malaysia. Interacting with sponsors can influence them toward sending students to X instead of to other universities in the UK.

The study contributes to theoretical knowledge in at least two different ways: by identifying possible corporate brand image attributes and experience that guide brand positioning (for the Malaysian market), and by exploring the relationship between these attributes and satisfaction and behavioral response (WOM) as proposed in the study’s conceptual framework. The study has identified the specific attributes that influence Malaysian students’ early interest in selecting X University via, for example, a recommendation from existing students at X, their sponsors, employers, the courses or modules X offers and location – in London. The study further revealed that corporate brand image attributes of business schools (cognitively and effectively) enhance corporate brand differentiation and positioning (Rauschnabel et al., 2016).

The purpose of this research is to examine the influence of direct comparative advertising on brand information processing and purchase intentions compared with that of indirect comparative advertising in non‐forced exposure conditions.

The overall sample of 240 female consumers (aged between 25 and 51 years, and representative of French women in terms of region and profession) was divided into two equal groups. These two groups viewed a televised montage that followed GfK's pretest methodology for TV advertising (a 20‐minute television show, an advertising break with seven commercials, a short questionnaire, a 20‐minute television show, an advertising break with four commercials, and a longer questionnaire), which favors a low involvement context in laboratory conditions. These two groups were respectively exposed to two 20‐second ads for a well‐known challenger brand (identical except for whether they name the leading brand and its price or “brand X” without price information).

This research provides original evidence that the comparative ad that cites the name and price of the leading brand increases purchase intentions for the sponsored brand, more than an equivalent that uses brand X. This effect operates through an increased probability of message processing, which in turn enhances the perceived compelling character of ad content.

Despite the many studies of comparative advertising in existing literature, little research has been devoted to the potential alternative of replacing a “brand X” designation with the name of a competing brand. Moreover, previous research often includes participants (e.g. students) engaged in deliberate processing of a single advertisement in conditions of artificial exposure.

The purpose of this paper is to explore the role of information about alcohol content, organic labelling and packaging on consumer preferences and willingness-to-pay (WTP) of non-alcoholic sparkling mock wines.

In a two-step study, the consumer’s expectations and overall liking of two novel brands of mock wines were investigated by focus groups followed by a common hedonic test combined with a choice experiment aimed at measuring consumer WTP. A total of 240 consumers were assigned to two tasting groups of equal size: all were presented at least one brand of mock wine, while drinkers also tasted a familiar brand of low-alcohol sweet sparkling wine. A paper-and-pencil choice experiment followed the tasting sessions.

The results demonstrate that participants in blind or manipulated “informed” conditions are not able to discriminate among mock wines and wine, whereas significant differences in preferences for brands under investigation appeared when labels and other information were disclosed. In effect, drinkers and non-drinkers did not differ in hedonic scores of mock wines. While younger participants exhibited the highest scores in blind liking, the overall expected liking is significantly higher for non-drinkers and women if compared, respectively, to drinkers and men. WTP for mock wines is influenced by taste, glass bottle packaging and the organic label, while mock-wine colour is not relevant.

Although limited in sample size and representativeness, this study has brought some new insights into the consumption of non-alcoholic mock wines. In this study, a significant influence of blind sensory liking on WTP is demonstrated. This result has theoretical implications: while the effect of product information on WTP is well established, the relationship between hedonic scores and WTP – while theoretically consistent – is not so clear-cut in the literature. Further research is needed to confirm/disconfirm these findings.

Sparkling no-alcohol mock wines, despite their sweetness, appear not different in taste to medium-to-low APV (7.5 per cent) sweet wines.

The paper suggests that marketing of mock (no-alcohol) wines needs careful branding to elicit significant hedonic effects, while interacting sensory (blind liking) scores with price information in choice models may help to represent taste heterogeneity in WTP estimates in a better way.

Brand alliances take various forms, yet academic research has not investigated how value spillovers differ between partners. The purpose of this paper is to address psychological mechanisms to uncover consumers’ perceptions of a service alliance when a strong service brand partners with a weak one.

An experiment used a 2 (perceived value of parent brand X: high vs low)×2 (perceived value of parent brand Y: high vs low)×2 (alliance contribution: equal vs unequal) full-factorial between-subjects design.

Service alliance value is maximal when both parent brands have high perceived value but is lowest when both are of low perceived value. When their perceived value varies, the alliance value approximates the higher rather than the lower value parent. This effect increases with the relative size of a parent brand’s contribution to the alliance service. Alliances also enhance perceptions of the value of each parent brand.

In an alliance between a strong and a weak service brand, the strong brand lifts the alliance, and consumers perceive high value. Companies should avoid service alliances with weaker brands that make major contributions.

This study investigates how value spillovers vary across different forms of service alliances. Moreover most alliance research focusses on products while services (such as education) are more involved in alliances than ever.