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The purpose of this paper is to examine the underlying mechanism of the spillover effect from a service brand alliance to its parent brand at the post-consumption stage.

Online surveys were used to collect both qualitative and quantitative data from participants of an actual event. Conceptual models were developed and tested on two cross-sectional samples using structural equation modeling.

Results demonstrate perceived brand contribution and consumer involvement mediate the relationship between the service brand alliance experience and the evaluation of its parent brand at the post-consumption stage. While perceived brand fit had an indirect effect on the parent brand, the spillover was mostly driven by service alliance experience and perceived brand contribution.

Findings indicate brand managers should focus on consumers’ brand experience of the service brand alliance to drive spillover evaluations to the parent brand, and organizations could extend brand alliances to services with low category fit to the parent brand if consumers are to have a good experience with the service brand alliance.

This research extends findings on brand alliance research that was based on hypothetical brands and indicated that the spillover effect from a brand alliance to the parent brand is influenced by perceived brand fit. The findings highlight the importance of consumer experiences in driving the spillover effect at the post-consumption stage, where consumers evaluate brand relationships from a value-added perspective that goes beyond the service category fit.

Existing research neglected examining the environmental effect of an event on the effectiveness of sponsorship activation in a competitive setting. The purpose of this study is to explore how the event environment impacts consumers’ attitudinal and behavioral responses to competitive brands that co-present at an event.

The research comprised an exploratory pre-test and two studies at a sport event with a retailing environment. The exploratory pre-test was used to examine the competitive relationship in the local market between the market leader and the lesser-known sponsoring brand. Study 1 used structural equation modelling to test how the event environment impacts consumers’ attitudes toward both brands at the post-consumption stage. Study 2 compared actual sales data of the two competing brands to examine the immediate effect of the sponsorship space on consumption.

The results revealed the event environment had an impact on consumers’ brand attitude toward both the lesser known sponsoring brand and the non-sponsoring market leader. However, the effect on the sponsoring brand that activated its sponsorship was influenced by consumer involvement with the event and was more salient. Furthermore, the product sales of the less-known sponsoring brand outperformed that of the market leader that co-presented at the event.

This study addresses a call to go beyond exploring the brand image of the sponsoring brands in isolation and holistically examine sponsorship effectiveness. The study contributes to knowledge on both attitudinal and actual behavioural outcomes of sponsorship activation in a competitive environment.

Online services are increasingly utilizing gamification techniques to encourage consumer loyalty and engagement. However, the majority of the gamified services fail to be financially sustainable. Existing freemium and gamified services literature provides scant knowledge on behavioral predictors of in-app purchases in freemium gamified services. The research examines highly interactive consumers' in-app behaviors using competition-based motivational affordances, daily usage behavior and social competition motivation that convert them into super engagers.

The authors applied a multimethod approach by using Multivariate Logistic Regression (n = 685) to analyze in-app behavioral data and Qualitative Comparative Analysis (n = 94) to examine survey and in-app behavioral data of highly interactive consumers of a freemium gamified service to explain paying behaviors.

Results reveal highly interactive consumers that elicit heavy daily usage of the application or excel at in-app challenges are less likely to convert to super engagers. Among super engagers, some are socially competitive, and their inability to advance in the leaderboard corresponds to in-app purchases, while non-socially competitive consumers make purchases to collect extrinsic rewards. Additionally, highly interactive consumers who possess more knowledge about the gamified service become super engagers to increase their chances to be socially competitive.

This research examines in-app behaviors of highly interactive consumers of a freemium gamified service that lead to in-app purchases following varying levels of daily usage behavior and social competition motivation. The authors contribute to the previous literature by defining and examining a new consumer segment – super engagers – that is financially beneficial for freemium services because of their in-app purchases. The authors provide insight on in-app behaviors that convert highly interactive consumers to super engagers and demonstrate that the reason for highly interactive consumers to make in-app purchases is a function of acquiring specific internal and external rewards based on their level of social competition.

The results from this study extend previous research by empirically testing the involvement based Psychological Continuum Model (PCM) segmentation procedure on sports spectators. To date, the procedure has only been verified using sports participants, although the PCM was developed with a broader range of sports consumers in mind. The validity of the procedure is confirmed using two online surveys, which gather data from spectators at both the league (n=761) and team (n=623) level. A three-step segmentation procedure then places respondents into the PCM stages - awareness, attraction, attachment and allegiance. ANOVA tests indicate that the four groups significantly differ from one another on attitudinal and behavioural measures for both league and team spectators. Findings suggest that the PCM is an appropriate framework to investigate fan development at both league and team levels. Thus sports marketers are provided with a research segmentation tool capable of helping them to better understand their heterogeneous consumer bases and thus guide marketing decisions.