ORCID Profile
0000-0002-0085-2014
Current Organisation
University of South Australia
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Publisher: Informa UK Limited
Date: 05-06-2017
Publisher: Springer Science and Business Media LLC
Date: 2002
Publisher: Walter de Gruyter GmbH
Date: 2016
Abstract: The sitcom genre is one of the most enduringly popular, yet we still know surprising little about their specific elements. This study aimed to develop a typology of humor techniques that best describe the components comprising the sitcom genre. New original techniques were added to applicable techniques from previous schemes to propose a sitcom-specific humor typology. This typology was tested with another coder for inter-coder reliability, and it was revealed the typology is theoretically sound, practically easy, and reliable. The typology was then used to code four well-known US sitcoms, with the finding that the techniques used aligned with the two most prominent theories of humor – superiority and incongruity.
Publisher: WARC Limited
Date: 06-2010
Publisher: WARC Limited
Date: 2016
DOI: 10.2501/JAR-2016-001
Publisher: Elsevier BV
Date: 07-2021
Publisher: Springer Science and Business Media LLC
Date: 2021
Publisher: MDPI AG
Date: 11-11-2022
DOI: 10.3390/SU142214934
Abstract: To predict the variability of dam water levels, parametric Multivariate Linear Regression (MLR), stochastic Vector AutoRegressive (VAR), Random Forest Regression (RFR) and Multilayer Perceptron (MLP) Artificial Neural Network (ANN) models were compared based on the influences of climate factors (rainfall and temperature), climate indices (DSLP, Aridity Index (AI), SOI and Niño 3.4) and land-use land-cover (LULC) as the predictor variables. For the case study of the Gaborone dam and the Bokaa dam in the semi-arid Botswana, from 2001 to 2019, the prediction results showed that the linear MLR is not robust for predicting the complex non-linear variabilities of the dam water levels with the predictor variables. The stochastic VAR detected the relationship between LULC and the dam water levels with R2 0.95 however, it was unable to sufficiently capture the influence of climate factors on the dam water levels. RFR and MLP-ANN showed significant correlations between the dam water levels and the climate factors and climate indices, with a higher R2 value between 0.890 and 0.926, for the Gaborone dam, compared to 0.704–0.865 for the Bokaa dam. Using LULC for dam water predictions, RFR performed better than MLP-ANN, with higher accuracy results for the Bokaa dam. Based on the climate factors and climate indices, MLP-ANN provided the best prediction results for the dam water levels for both dams. To improve the prediction results, a VAR-ANN hybrid model was found to be more suitable for integrating LULC and the climate conditions and in predicting the variability of the linear and non-linear time-series components of the dam water levels for both dams.
Publisher: SAGE Publications
Date: 05-2013
Publisher: Association for Computing Machinery (ACM)
Date: 02-2001
Publisher: Informa UK Limited
Date: 16-10-2016
Publisher: Elsevier BV
Date: 06-2012
Publisher: Informa UK Limited
Date: 09-2009
Publisher: Informa UK Limited
Date: 23-05-2018
Publisher: Informa UK Limited
Date: 07-2012
Publisher: WARC Limited
Date: 25-06-2020
DOI: 10.2501/JAR-2019-024
Publisher: Elsevier BV
Date: 11-2020
Publisher: Elsevier BV
Date: 12-2018
Publisher: SAGE Publications
Date: 02-2006
DOI: 10.1002/DIR.20053
Abstract: Marketers face a myriad of decisions when developing a Web site for e-commerce. In this article, we attempt to organize our current understanding of consumer behavior into streams of research that address the development of marketplaces for the digital economy. We start by characterizing computer-based decision environments as Marketplaces of the Artificial, arguing that the unbundling of product information from products presents many decisions and opportunities for the design of decision environments. We then review four areas of research, identifying themes in each area. These areas are (a) the economics of search, (b) cognitive cost approaches, (c) constructed preference approaches, and (d) phenomenological approaches. We illustrate each approach, highlighting its assumptions and discussing ex les of research questions and results.
Publisher: Informa UK Limited
Date: 20-04-2021
Publisher: SAGE Publications
Date: 04-2003
DOI: 10.1509/JMKG.67.2.62.18615
Abstract: The authors suggest that learning is an important factor in electronic environments and that efficiency resulting from learning can be modeled with the power law of practice. They show that most Web sites can be characterized by decreasing visit times and that generally those sites with the fastest learning curves show the highest rates of purchasing.
Publisher: Informa UK Limited
Date: 07-2012
Publisher: Oxford University Press (OUP)
Date: 09-2009
Publisher: WARC Limited
Date: 06-2013
Publisher: Wiley
Date: 2003
DOI: 10.1002/SMI.954
Publisher: Informa UK Limited
Date: 12-09-2016
Publisher: Informa UK Limited
Date: 03-1999
Publisher: Informa UK Limited
Date: 02-01-2015
Publisher: Proceedings of the National Academy of Sciences
Date: 03-08-2018
Publisher: WARC Limited
Date: 30-09-2020
DOI: 10.2501/JAR-2019-036
Publisher: WARC Limited
Date: 23-03-2020
DOI: 10.2501/JAR-2020-007
Publisher: Elsevier BV
Date: 2021
Publisher: WARC Limited
Date: 06-2015
Publisher: IGI Global
Date: 2015
DOI: 10.4018/978-1-4666-8239-9.CH012
Abstract: Marketing professionals are increasingly interested in creating branded mobile phone applications. These “apps” prominently display a brand's identity throughout the user experience, typically in the form of a brand logo, and are designed to perform a range of functions. This article reviews current available research, and specifically addresses two important areas: (1) the effectiveness of mobile phone apps as a form of persuasive advertising and (2) factors that moderate these effects, specifically creative execution style and product category relevance. This article concludes with a discussion of directions for future research.
Publisher: SAGE Publications
Date: 28-05-2022
DOI: 10.1177/18393349211017316
Abstract: Market share growth requires building mental and physical availability among all category buyers. However, if younger category buyers are more likely to purchase new-to-market products, then perhaps younger buyers are, relatively speaking, more important for growth. This research investigates the relationship between category buyer age, brand buyer age, and brand failure. When sub-brand buyer age is younger than category buyer age, the sub-brand is likely to be (a) new-to-market or (b) growing in market share. Older-than-category sub-brand-buyer age is likely for sub-brands that are (a) declining or (b) dead. Results from 17 years (1998–2014) of U.K. household panel data, including 5,913 sub-brands from 101 categories, show that age skews were uncommon (only 18% of sub-brands), and second, that growing, stable and declining sub-brands appealed equally to all ages. Finally, we identified that new launches and dead brands tend to skew to younger consumers, suggesting that new launches need to appeal to all ages to avoid failure.
Publisher: Informa UK Limited
Date: 03-2004
Publisher: WARC Limited
Date: 12-2013
Publisher: Association for Computing Machinery (ACM)
Date: 12-1999
Publisher: Elsevier BV
Date: 03-2014
Publisher: Springer Science and Business Media LLC
Date: 2003
Publisher: Elsevier BV
Date: 04-2020
Publisher: Wiley
Date: 23-04-2020
DOI: 10.1002/MAR.21357
Publisher: Informa UK Limited
Date: 04-2010
Publisher: Emerald
Date: 07-01-2019
Abstract: This paper aims to test TV sponsorship bumper effects, for the same brand, on 30-s TV spot advertising. An experimental study tests sponsorship bumpers and 30-s TV spot ads for eight brands, four familiar and four unfamiliar, using realistic stimuli and a s le representative of the US population. Sponsorship boosts ad effectiveness and is measured by ad awareness and ad liking. Both effects were stronger for unfamiliar brands. The results show that combining sponsorship with spot advertising has an additive effect. The study design did not allow tests for potential synergy (multiplicative) effects. Advertisers can use the results to evaluate investing in sponsorship and advertising packages, which can help unfamiliar brands achieve familiar brand awareness. To the authors’ knowledge, this is the first study to compare the effectiveness of sponsorship-boosted ads with sponsorship bumpers alone and with TV spot ads.
Publisher: Emerald
Date: 18-07-2022
Abstract: Dynamic advertising, including television and online video ads, demands new theory and tools developed to understand attention to moving stimuli. The purpose of this study is to empirically test the predictions of a new dynamic attention theory, Dynamic Human-Centred Communication Systems Theory, versus the predictions of salience theory. An eye-tracking study used a s le of consumers to measure visual attention to potential areas of interest (AOIs) in a random selection of unfamiliar video ads. An eye-tracking software feature called intelligent bounding boxes (IBBs) was used to track attention to moving AOIs. AOIs were coded for the presence of static salience variables (size, brightness, colour and clutter) and dynamic attention theory dimensions (imminence, motivational relevance, task relevance and stability). Static salience variables contributed 90% of explained variance in fixation and 57% in fixation duration. However, the data further supported the three-way interaction uniquely predicted by dynamic attention theory: between imminence (central vs peripheral), relevance (motivational or task relevant vs not) and stability (fleeting vs stable). The findings of this study indicate that viewers treat dynamic stimuli like real life, paying less attention to central, relevant and stable AOIs, which are available across time and space in the environment and so do not need to be memorised. Despite the limitations of small s les of consumers and video ads, the results of this study demonstrate the potential of two relatively recent innovations, which have received limited emphasis in the marketing literature: dynamic attention theory and IBBs. This study documents what does and does not attract attention to video advertising. What gets attention according to salience theory (e.g. central location) may not always get attention in dynamic advertising because of the effects of relevance and stability. To better understand how to execute video advertising to direct and retain attention to important AOIs, advertisers and advertising researchers are encouraged to use IBBs. This study makes two original contributions: to marketing theory, by showing how dynamic attention theory can predict attention to video advertising better than salience theory, and to marketing research, showing the utility of tracking visual attention to moving objects in video advertising with IBBs, which appear underutilised in advertising research.
Publisher: Public Library of Science (PLoS)
Date: 12-10-2016
Publisher: Informa UK Limited
Date: 04-10-2019
Publisher: WARC Limited
Date: 20-12-2017
DOI: 10.2501/JAR-2016-051
Publisher: SAGE Publications
Date: 11-2011
DOI: 10.1016/J.INTMAR.2011.06.001
Abstract: Mobile phone applications (“apps”) have generated substantial interest among marketers, primarily because of their high level of user engagement and the positive impact this presumably has on a user's attitude toward the sponsoring brand. This study utilized a pre-test ost-test experimental design to determine whether using popular mobile phone apps affects brand attitude and brand purchase intention. The results show that using these apps has a positive persuasive impact, increasing interest in the brand and also the brand's product category. The relevance of the product category makes no difference, but apps with an informational/user-centered style were more effective at shifting purchase intention, most likely because this style focuses attention on the user, and therefore encourages making personal connections with the brand. Experiential game-like apps were less successful, because they focus attention on the phone. These results suggest that understanding how to maximize the impact of mobile phone apps will be a key topic for future research.
Publisher: WARC Limited
Date: 24-01-2019
DOI: 10.2501/JAR-2019-002
Publisher: Informa UK Limited
Date: 28-07-2020
Publisher: SAGE Publications
Date: 2000
DOI: 10.1002/(SICI)1520-6653(200024)14:1<15::AID-DIR2>3.0.CO;2-C
Publisher: SAGE Publications
Date: 06-2007
DOI: 10.1016/S1441-3582(07)70024-1
Abstract: Rossiter and Bellman (2005) define two types of emotions, and this article describes how they should be measured. Type 1 emotions (e 1 ) are automatically elicited “basal” emotions that do not require cognitive appraisal—pleasure, arousal, and possibly dominance—which should be measured on a continuous scale. Self-reports are valid although arousal is more reliably measured by skin conductance (GSR). Type 2 emotions (e 2 ) consist of complex, differentiated emotions that do require cognitive appraisal (e.g. love, anger, contempt, empathy, nostalgia, and desire). Since cognitive labelling can show considerable variation, cross-culturally, and in idually, type 2 emotions should be measured as binary (present: yes, no), using self-report ratings. A new study by Rossiter and Bellman (2007) demonstrates that binary type 2 emotions reflecting steps of attachment to the brand are important predictors of brand buying and brand loyalty.
Publisher: Informa UK Limited
Date: 09-11-2023
Publisher: Informa UK Limited
Date: 11-2004
Publisher: SAGE Publications
Date: 28-09-2015
Abstract: This study considers two news ticker formats—the update ticker and the scrolling ticker—to determine the impact of ticker format on memory for news items in the tickers as well as for news program content presented in the background. Post-viewing responses between two treatment groups were compared, revealing better recognition of both types of news content when tickers updated rather than scrolled. Also, viewers report no differences in perceived clutter or program liking, suggesting there is no downside to using an update format.
Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
Date: 03-2004
Abstract: This paper examines search across competing e-commerce sites. By analyzing panel data from over 10,000 Internet households and three commodity-like products (books, compact discs (CDs), and air travel services), we show that the amount of online search is actually quite limited. On average, households visit only 1.2 book sites, 1.3 CD sites, and 1.8 travel sites during a typical active month in each category. Using probabilistic models, we characterize search behavior at the in idual level in terms of (1) depth of search, (2) dynamics of search, and (3) activity of search. We model an in idual's tendency to search as a logarithmic process, finding that shoppers search across very few sites in a given shopping month. We extend the logarithmic model of search to allow for time-varying dynamics that may cause the consumer to evolve and, perhaps, learn to search over time. We find that for two of the three product categories studied, search propensity does not change from month to month. However, in the third product category we find mild evidence of time-varying dynamics, where search decreases over time from already low levels. Finally, we model the level of a household's shopping activity and integrate it into our model of search. The results suggest that more-active online shoppers tend also to search across more sites. This consumer characteristic largely drives the dynamics of search that can easily be mistaken as increases from experience at the in idual level.
Publisher: SAGE Publications
Date: 2010
DOI: 10.2501/S1470785310201065
Abstract: Contrary to a key assumption of the TV industry, interaction with digital interactive TV (iTV) programmes and ads is driven as much by social motivations as it is by information seeking. This insight was revealed by a survey of a representative s le of 867 digital TV households in the UK, which has one of the largest and most experienced digital iTV audiences in the world. This new survey used a comprehensive but efficient set of motivation items, so that no important motivations were left out, which may explain why social motivations emerged as important in this study, whereas they have not been in studies of traditional TV watching. Suggestions are made for how marketers and programme producers can make iTV content that appeals to viewers who are motivated by social needs.
Publisher: WARC Limited
Date: 06-2006
Publisher: Springer Science and Business Media LLC
Date: 04-2010
DOI: 10.1057/DDDMP.2010.6
Publisher: Informa UK Limited
Date: 03-09-2015
Publisher: Routledge
Date: 07-05-2020
Publisher: Informa UK Limited
Date: 12-08-2008
Publisher: Springer Science and Business Media LLC
Date: 23-06-2011
Publisher: Informa UK Limited
Date: 12-2012
No related grants have been discovered for Steven Bellman.