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While advertising and sponsorship are conceptually different, many studies have used the same measures for both constructs. The assumption is that respondents perceive both domains similarly. The purpose of this study was to test the invariance of the belief measures between the advertising and sponsorship measurement models across different consumer segments and to provide empirical justification for the practice.

Two independent samples were recruited from two different consumer segments: university student consumers (n = 290) and general consumers (n = 324). This study conducted multigroup invariance tests using LISREL 8.80. The measurement and structural invariances were concerned with factor loadings (λ), factor variance and covariance (f) and error variance (θ) metrics.

The factor patterns of the belief model were generally invariant between the advertising and sponsorship models in both consumer groups. However, the respondents interpreted three items between advertising and sponsorship in different ways: one annoyance/irritation item in the generic consumer group and two falsity/no sense items in the student consumer groups.

While the invariance test reveals three problematic items, the majority of items seem to be invariant, concluding that the advertising belief scale could be applicable to the sponsorship context.

Argues that the general area of commercial sponsorship activity, while attracting increasing interest from marketing practitioners as an important strategic option in marketing communications, has not been the subject of sufficiently rigorous and comprehensive investigation by theoreticians. States the purpose is to establish and consolidate the available body of knowledge combining an overview of the standard conceptual approaches to marketing communication with an examination of the recent academic research in sponsorship, while maintaining a focus on current marketplace practice. Argues for a coherent and structured approach to the management of sponsorship expenditure through the application of a ‘management by objectives’ approach. Parameters are established in terms of a working definition of sponsorship, a review of its commercial development and an overview of current activity. Develops a commercially ration framework within which sponsorship activity may be undertaken. Views objective‐setting as the cornerstone of sponsorship management and outlines a classification of sponsorship objectives that subsumes current practice clarifies the range of potential benefits. Examines the criteria that govern rational sponsorship selection and proposes an evaluation strategy based on stated criteria. Methods of evaluating effects of marketing communications (sponsorship particularly) are examined and new evaluation techniques are advanced to facilitate the implementation of this rigorous scientific approach.

Global spending on sponsorship continues to rise and many companies now establish portfolios containing a range of sponsorships across sport, arts and cause-related activities. Yet a lack of practical methodologies for the measurement and comparison of sponsorship performance within a portfolio context remains a challenge. Sponsors often rely solely on proxy measures for brand exposure drawn from advertising. These do not capture the higher-level outcomes of sponsorship awareness and goodwill transfer, often attributed to sponsorship as a ‘halo effect’. This paper aims to present a matrix tool that combines consumer awareness of and goodwill for a sponsorship so the halo effects of sponsorships within a portfolio can be quantified and compared.

This archival analysis study is based on six years of brand tracking data (comprising some 15,500 consumer surveys) supplied by a large Australian company. A sponsorship portfolio matrix is developed to measure the halo effect.

This study demonstrates that a sponsorship’s halo effect can be measured and comparisons can be drawn across sponsorship types within a portfolio. The study shows that despite the significantly higher levels of brand awareness achieved by commercially oriented professional sports sponsorship types, community relations oriented sponsorship types achieve a greater halo effect because of their more positive impact on the sponsor’s brand attributes.

The matrix provides a valuable tool by which sponsorships can be compared, evaluated and managed to meet the longer-term brand and marketing objectives of a company.

The purpose of this paper is to assess the effectiveness of event-related sports sponsorship and ambushing activity using social media video advertising that aim to affect spectators’ implicit and explicit brand information processing.

A dual model of brand knowledge is used that considers the implicit and explicit information processing of marketing-induced brand messages. A web study was conducted prior to the 2014 FIFA World Cup. Each participant implicitly and explicitly evaluated either one sponsor brand or one ambush brand before and after watching the video advertisement (within-subject design). A Wilcoxon signed-rank test was used to evaluate each change of the pre-post testing scores.

Implicit and explicit brand associations as well as brand behavior were partially affected by the short contact with the advertisements of sponsor brands and ambush brands. In this regard, the implicit association measurements were more sensitive to reveal changes in the brand knowledge structure than their explicit counterparts. Furthermore, sponsorship advertising was slightly more effective than ambush advertising.

The current exploratory study evaluated for the first time the performance of event-related video advertisements that were originally released on social media of sponsor brands and ambush brands. The findings emphasize the necessary requirement of evaluating the implicit processing in addition to the explicit processing of sponsorship information to ensure a holistic evaluation of consumers’ memory with regard to the effectiveness of a sponsorship activity.

This research highlights the need for sophisticated measurement tools to allow sponsors and sponsees to evaluate sponsorship achievement against specific goals and its performance relative to other promotional tactics. Two high-profile in-stadium sponsorships of a mega-sponsee, the Grey Cup, are evaluated. Some evidence appears to supports and the effectiveness of the sponsorships; other observations raise questions about the accuracy of the evaluation process. The paper provides direction for practice and future research in sponsorship evaluation.

The purpose of this paper is to extend sponsorship literature by investigating the role of the fit construct and perceived sponsorship portfolio size for event sponsorship success. To analyze the sponsor–event fit in more detail, the authors draw on the network perspective and, as a consequence, split the sponsor–event fit into two constructs: the sponsor–artist fit construct and the sponsor–event organizer fit construct. Then, a model is developed and tested that examines the effect of these two constructs and perceived sponsorship portfolio size on sponsorship success.

The model is tested with data from 330 visitors to two different concerts in Switzerland. Real events with non-student samples are examined. The data are tested using Mplus 6.0 structural equation modeling.

Results report that the sponsor–artist fit, the sponsor–event organizer fit and perceived sponsorship portfolio size are important drivers of attitude toward the sponsor. Moreover, sponsorships that cause positive attitudes toward the sponsor are found to enhance willingness to pay a price premium and purchase intention.

This paper reveals that it is important for sponsorship managers to correctly consider the fit construct and perceived sponsorship portfolio size for sponsorship success. Additionally, the tested model provides an instrument for measuring sponsorship effectiveness.

The current paper reveals new results by investigating the impact of the sponsor–artist fit and the sponsor–event organizer fit on sponsorship success. Furthermore, the current research paper is the first to analyze the effects of a sponsorship portfolio which is not limited to one sponsorship category on sponsorship success.

This study explores the relationship between brand image and brand equity in the context of sports sponsorship. Keller's (1993, 2003) customer-based brand equity models are the conceptual inspiration for the research, with Faircloth, Capella, and Alford's (2001) conceptual model – adapted from the work of Aaker (1991) and Keller (1993) – the primary conceptual model. The study focuses on the sponsorship relationship between the New Zealand All Blacks and their major sponsor and co-branding partner, adidas. The sporting context for the study was the 2003 Rugby World Cup held in Australia. Data were collected from two independent samples of 200 respondents, utilizing simple random sampling procedures. A bivariate correlation analysis was undertaken to test whether there was any correlation between changes in adidas' brand image and adidas' brand equity as a result of the All Blacks' performance in the 2003 Rugby World Cup. Results support the view that Keller (1993, 2003) proposes that brand image is antecedent to the brand equity construct. Results are also consistent with the findings of Faircloth et al. (2001) that brand image directly impacts brand equity.

Sponsorship is a major contributor to income in the South African sports arena, and is a critical component allowing sports unions to remain financially viable and sustainable. Sports sponsoring companies, however, have long questioned the financial returns generated from these ventures. The purpose of this paper is to understand whether financial returns of companies with sports sponsorship in South Africa are significantly different to those without. This research was conducted on Johannesburg Stock Exchange (JSE) listed companies that sponsored sport consistently between 2000 and 2015 for a period of two years. A quantitative methodology was employed whereby share price, revenue and earnings growth were analysed, comparing firms that did not adopt strategies involving sports sponsorships to those that did.

A quantitative methodology was employed, whereby share price, revenue and earnings growth were analysed, comparing firms that did not adopt strategies involving sports sponsorships to those that did. South Africa is an emerging market and a member of the BRICS Forum ranked 14th in the sport sponsorship market globally (Sport Marketing Frontiers, 2011), becoming increasingly dominant in the global sports industry (Goldman, 2011). The population consisted of JSE-listed Main Board and alternative exchange companies that participated in any form of consistent sports sponsorship in the given time frame: 2000-2015, where the company’s share price, revenue and earnings per share (EPS) data for the period were available from the INET BFA database. The JSE is ranked 17th in terms of market capitalisation (over $1 trillion) in the world, being the largest stock exchange on the African continent with over $30bn being traded on average monthly. Multiple journals today publish research done on the JSE, for example the International Journal of Sports Marketing and Sponsorship, Investment Analysts Journal and the South African Journal of Accounting Research. This stock exchange is 125 years old and has over 400 listed companies of which 358 are domestic (Kruger et al., 2014).

Results show that companies involved in sports sponsorship during the period analysed did not experience enhanced share price or revenue growth in excess of those companies not involved in sports sponsorship. As a whole, sports sponsoring companies did however experience greater income growth (EPS) than those companies not involved in sports sponsorship. Enhanced revenue growth was found in the consumer services sector, indicating that sport sponsorship in this sector drives brand image and recall resulting in enhanced revenues. These results though indicate that a multitude of differing objectives may exist for companies engaging with sports sponsorship, with increased sales not the singular objective. In general it is concluded that sports sponsorship is considered to achieve a broad spectrum of outcomes that are likely to contribute to increased profitability.

The relatively small size of 40 firms on the JSE in the South African sports sponsorship market is a limitation for this research. The purely quantitative approach limited the ability to gain the required level of insight into those sectors with small samples, which a qualitative study would reveal. SABMiller as example could not be analysed against its sector peers, given that it is one of the most prominent and consistent sports sponsors in South Africa across all major sporting codes. The telecommunications sector was represented entirely by companies that were involved in sports sponsorship and, hence, no in-depth comparison could be conducted within this sector. Vodacom, a major sponsor of sport in South Africa, could not be compared with its peers utilising purely financial and statistical methods. Cell C is one of the most prominent sponsors of rugby in South Africa, through its title sponsorship of the Cell C Sharks, and was not included in this study as it is not listed on the JSE. It is suggested that such companies should be included in a qualitative study approach.

The results of the Mann-Whitney U test for the consumer services and financial sectors confirm no significant difference in EPS growth for companies utilising consistent sports sponsorship as part of their marketing mix to those that do not. The consumer services sector has seen above-average revenue growth from sports sponsorship compared with its sector peers; however, the sector was unable to convert this increased revenue growth into increased profits, suggesting that the cost of sponsoring, as well as the operating costs associated with sports sponsorship, counteract any growth in revenue.

The sample of sports-sponsoring companies experienced a larger annual mean EPS growth rate of 30.6 per cent compared to the remaining JSE Main Board companies which grew EPS annually at 27.4 per cent. The results of the Mann-Whitney U test confirm a significant difference in EPS growth for companies utilising consistent sports sponsorship as part of their marketing mix. From a practical interpretive perspective, this result reveals that those companies in South Africa involved in sports sponsorship consistently attain greater than market-related profit growth. This poses some interesting points for discussion, given that revenue growth was not statistically different, which suggests that many sponsors are utilising the sponsorships for purposes other than sales growths that result in a profitable outcome. The potential range of options is large but would likely comprise the creation of stronger supplier relationships, resulting in optimised business inputs. Sponsors might be utilising sponsorships to improve corporate social status, which assists them in creating regulatory compliance, in some instances. Additionally, these sponsorships may be utilised to maintain key client relationships that provide the highest levels of profitability, and whilst this might not grow revenue through new business acquisition, it may result in higher profitability as a result of a loyal and stable customer base.

Much of the available research focusses on the sponsorship of specific sporting events and the share price impact thereof at specific occasions like the announcement, renewal and termination. Where research is conducted across a multitude of sporting events and codes, this predominantly focusses on share price performance only, with varying and somewhat inconclusive results. There is little research focussing on wider, more comprehensive sets of sponsored events and sporting codes, and that seeks to provide an understanding of financial returns for sponsoring properties. In a study of more than 50 US-based corporations it was found that, as a group, corporations which consistently invested in sports sponsorships outperformed market averages, and that those with higher sponsorship spend achieved higher returns (Jensen and Hsu, 2011). The study utilised descriptive statistics. More analysis, utilising detailed statistical analysis, is required to better understand the effects of sponsorship on the wider set of variables analysed. In this case, a five-year compound annual growth rate was calculated for stock price appreciation, total revenue, net income and EPS, and analysed descriptively with only means and standard deviation. Measurement of such variables assists with an understanding of the materialized results of sponsorship as opposed to much of the work in this field, which analyses market reactions to sponsorship announcements.

Two studies were undertaken with the aim of determining the nature and prevalence of exposure to alcohol sponsorship communications associated with sport. Study 1 reports a content analysis of alcohol sponsors' leveraging across popular sporting events. Study 2 examines alcohol sponsors' activation in social media. A high proportion of alcohol sponsorship messages containing content appealing to young adult drinkers are revealed across multiple media. Events and policy implications are addressed.

Little research has examined sponsorship within the context of mega‐event and related host images. This paper seeks to explore the relationships among country, destination, mega‐event and sponsor images through the evaluations formed of each entity.

Based on data collected from 291 Canadian consumers two months after the Beijing Olympics, a SEM model examines the relationships among consumer evaluations of the host country, the country as a destination, the mega‐event itself and sponsors.

Results support the hypothesized model and present a paradoxical situation for the Olympics hosted by China. While the overall country evaluation was found to have a strong and positive effect on its evaluation as a tourist destination and the destination evaluation has a subsequent positive relationship with Olympic evaluations, a direct and negative relationship between the evaluation of the country and of the Olympic Games was also supported.

Future research should examine the relationship among country, destination, mega‐event and sponsor images in other mega‐event and country contexts. In addition, the pattern of these relationships should be assessed longitudinally.

This study provides evidence to show that the Olympic Games image is resilient and can thrive in challenging contexts. Further, sponsors can be assured that they are receiving value from Olympic sponsorships.

These results extend previous literature on sponsorship evaluation into the large, global sponsor context. In addition, this study examines the role of the host country in understanding the influence of the mega‐event on sponsor images.