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The case revolves around a marketing/sales executive who works in the Ad Sales wing of a popular search engine. Over the course of the case, the protagonist realizes that their marketing strategy needs to refocus on a different vertical than the one they have been paying the most attention to. He had done the required data analysis and feels the data strongly points to a need for change in their strategy. However, he needs to convincing the higher management by put together a compelling pitch using storytelling elements, so that the message in his data gets across clearly, compelling them to act.

This paper examines the relationship between marketing automation emergence and the marketers' use of heuristics in their decision-making processes. Heuristics play a role for the integration of human decision-making models and automation in augmentation processes, particularly in marketing where automation is widespread.

This study analyzes qualitative data about the impact of marketing automation on the scope of heuristics in decision-making models, and it is based on evidence collected from interviews with twenty-two experienced marketers.

Marketers make extensive use of heuristics to manage their tasks. While the adoption of new automatic marketing tools modify the task environment and field of use of traditional decision-making models, the adoption of heuristics rules with a different scope is essential to defining inputs, interpreting/evaluating outputs and control the marketing automation system.

The paper makes a contribution to research on the relationship between marketing automation and decision-making models. In particular, it proposes the results of in-depth interviews with senior decision makers to assess the impact of marketing automation on the scope of heuristics as decision-making models adopted by marketers.

This chapter relies on descriptive case studies from various regions around the world to better explain critical elements for the effective marketing of destinations. The authors put forward a theoretical framework, entitled the destination marketing triangle (DMT), that sheds light on the complex relationships and on the interconnectedness of three dimensions of destination marketing. Their model suggests that destination leaders ought to work closely with tourism service providers and to continuously engage with tourists through traditional and digital media. This way, they can improve the experiences of their visitors and prospects. At the same time, they could build a solid brand identity for their destination.

This paper aims to explore the promotion decisions of heterogeneous sellers on a decentralized platform under competitive conditions and analyze how seller behaviors impact platform profit, seller revenue, buyer surplus and social welfare.

This paper considers a Cournot model consisting of a platform charging a commission rate and two sellers with different conversion rates and browsing costs. Promotion efforts by sellers can increase traffic, but they also incur promotion costs for sellers. The sellers decide on promotion effort by weighing these two effects. The authors also explore the equilibrium when the platform charges a fixed usage fee.

The seller’s profit improves as its conversion rate increases and worsens as browsing costs increase. Also, increasing the commission rate charged by the platform makes the seller invest less in promotional efforts. Therefore, the platform must consider this trade-off to determine an optimal rate. The analysis shows that the seller with a high conversion rate and high browsing cost plays a greater role in generating more overall revenue. When the market favors such a seller, the platform tends to charge less in order not to impair its profitability.

This paper incorporates conversion rate, buyer’s browsing cost, unit promotion cost and the fee charged by the platform into the model to study sellers’ promotion decisions on decentralized platforms.

This paper aims to identify the factors affecting university students’ behavioral intentions towards adopting the new Facebook currency while controlling for the direct and the moderating impacts of narcissism.

A self-administered questionnaire of 344 respondents from six major Palestinian universities was analyzed. The structural model is fitted for assessing the hypothesized relations.

Findings indicate that the effect of Facebook advertisement in predicting the behavioral intentions to adopt the new Facebook currency relies on: privacy, security, the expectations in the new Facebook currency and knowledge about the targeting options within the Facebook platform. Moreover, the moderating role of narcissism supported the relationships between perceived privacy, the expectations in the new Facebook currency and knowledge about the targeting options within the Facebook platform but did not support the moderating role of narcissism in the relationships between perceived security and the behavioral intentions.

In this study, only the Facebook platform and the behavioral intention were investigated with data collected from Palestinian University students through self-reported cross-sectional survey.

This study adds insight on the moderating role of narcissism in predicting the behavior intentions towards adopting the new Facebook currency (Diem) which has a substantial potential to threaten all other crypto currencies and the other alternatives. Therefore, managers should consider altering or adapting their Facebook advertising tactics accordingly.

This study is the first to contribute through empirical evidence from a developing country to theory building the results of clarifying the propensity to adopt the new Facebook currency, outlining the consumers’ reaction to social media advertising and its influential factors and providing evidence proving relevance of narcissism for non-Western users.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2021-0666

This paper evaluates the precision of four metasearch engines (MSEs) – DuckDuckGo, Dogpile, Metacrawler and Startpage, to determine which metasearch engine exhibits the highest level of precision and to identify the metasearch engine that is most likely to return the most relevant search results.

The research is divided into two parts: the first phase involves four queries categorized into two segments (4-Q-2-S), while the second phase includes six queries divided into three segments (6-Q-3-S). These queries vary in complexity, falling into three types: simple, phrase and complex. The precision, average precision and the presence of duplicates across all the evaluated metasearch engines are determined.

The study clearly demonstrated that Startpage returned the most relevant results and achieved the highest precision (0.98) among the four MSEs. Conversely, DuckDuckGo exhibited consistent performance across both phases of the study.

The study only evaluated four metasearch engines, which may not be representative of all available metasearch engines. Additionally, a limited number of queries were used, which may not be sufficient to generalize the findings to all types of queries.

The findings of this study can be valuable for accreditation agencies in managing duplicates, improving their search capabilities and obtaining more relevant and precise results. These findings can also assist users in selecting the best metasearch engine based on precision rather than interface.

The study is the first of its kind which evaluates the four metasearch engines. No similar study has been conducted in the past to measure the performance of metasearch engines.

Few studies illustrate how contextual effects (e.g. assimilation and contrast) in pay-per-click ad design may impact consumers' attitudes and purchase intention. To fill this research gap, the authors provide theoretical predictions and empirical evidence on how ad design may prompt an assimilation and/or a contrast effect that may influence consumers' attitudes toward the ad and the brand and purchase intention. They also investigate whether the impact of contextual effects on consumers' decisions depends on the level of vividness in the ad.

A 2 (vividness: dynamic motion vs. static page) × 2 (information design: assimilation vs. contrast) × 2 (aesthetic design: assimilation vs. contrast) between-subjects experimental design is used to examine the effects of vividness, information design and aesthetic design. Conditional process analysis is used to assess the mediating role of attitudes toward the ad and the brand in the relationship between contextual effects and purchase intention.

For dynamic ads (i.e. high vividness) but not for static ads (i.e. low vividness), combined information contrast and aesthetic contrast designs generate a more favorable attitude toward the brand and a higher purchase intention than do combined information assimilation and aesthetic assimilation designs. Notably, combined information contrast and aesthetic contrast designs have the strongest effects than any other combination of assimilation and contrast designs of information and aesthetics. Attitudes toward the ad and the brand are significant mediators between contextual factors and intention to purchase.

The study examines the effectiveness of online ads from a new theoretical angle based on the attributes of pay-per-click ads.

The results suggest that when advertisers decide to use dynamic ads, they should adopt a contrast design for both the ad information and its aesthetics.

This study fills a research gap in the contextual effects literature, including providing evidence of an underlying process in the relationship between certain contextual effects and purchase intent. It also extends previous findings of assimilation/contrast in information design to aesthetics design and advances the literature on vividness by examining a moderation effect of vividness.

To investigate (1) the relationship between young adults' behavioural brand loyalty (BBL) and Japanese fashion companies' financial performance (FP) and (2) FP improvement from the perspectives of social media brand engagement (BE) and loyalty programmes (LPs) by applying the complexity theory.

A mixed methodology was employed by combining qualitative and quantitative approaches to examine the prediction of outcomes by various variables in a realistic context. The integrated model associated BE and LPs with BBL and FP, which are essential for fashion companies. We selected 14 fashion brands belonging to 14 publicly traded Japanese fashion companies and surveyed 183 Japanese consumers (aged 18–25 years) who chose these brands as their favourites, engaged with the brands and participated in LPs.

The findings reveal the positive and negative effects of the variables (BE and LP) on the outcomes (short- and long-term FP). They offer marketing implications regarding brand strategy and financial improvement by considering various combinations of causal factors and complex situations, such as the fashion brands' and consumers' characteristics.

Existing empirical studies consider consumers' symmetric reactions to the benefits and losses from variables (BE, LP and BBL) but do not realistically reveal the negative and positive effects on outcomes (FP). This study addresses this gap by applying the complexity theory and offers multiple solutions to target different consumer types to predict high FP.

This research aims to unravel the intricate relationship between luxury brands' social media marketing strategies (i.e. communication and engagement) and their impact on consumers' willingness to pay a premium and brand loyalty.

A large online consumer panel was used to conduct an online survey of 381 consumers. Partial least squares structural equation modeling was adopted for hypothesis testing.

The study's outcomes indicated that (1) perceived interactivity and perceived openness positively influence social media brand communication, (2) social media brand communication and engagement are positive determinants for consumer empowerment and parasocial interactions, (3) consumer empowerment and parasocial interactions positively influence willingness to pay a premium and (4) parasocial interactions (but not consumer empowerment) positively influence brand loyalty.

The study offers significant theoretical implications by unraveling the mechanism of social media marketing for luxury brands, which is under-researched in the current literature. More specifically, the study reveals the process of how social media brand communication and engagement reinforce luxury brand outcomes through parasocial interactions and consumer empowerment. In addition, the study provides empirical evidence to delineate the role of interactivity and openness in enhancing social media brand communication. Moreover, the study extends past research that emphasized initial adoption outcomes such as attitude and purchase intention by probing luxury brand loyalty and willingness to pay a premium.

By effectively strategizing social media marketing, luxury brand marketers can promote brand loyalty and willingness to pay a premium. Luxury brand marketers should concentrate on establishing parasocial interaction with consumers by designing optimal social media brand communication and engagement. To this end, luxury brand marketers should consider integrating the elements of interactivity and openness in their communication with consumers.

The study offers valuable insights for luxury brand marketers aiming to capitalize on the potential of social media marketing to enhance their revenue generation and customer retention. The study advances past luxury branding research by validating the role of consumer empowerment and parasocial interactions in luxury brands' social media marketing.