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Sports advertisements such as the Super Bowl showcase products and brands that have invested increasingly large sums financially to gain viewers’ attention. However, how audio features in advertisements impact viewers' behavior remains unexplored.

Using the lens of signaling theory, this research uses advanced data analytics of voice and music audio in Super Bowl advertisements to examine its impacts on viewers.

Results show that advertisement viewers prefer more voiced frames and have a greater liking behavior of voiced frames with a low intensity (less loud) and a higher F1 frequency, which is typically associated with male vocal tracts. A fast music tempo works better for longer advertisements. The model controls for various types of ad appeals. The research underlines the importance of voice and music in signaling successful brand features that are likely to increase the ad-liking behavior of consumers (positive effect).

The current research implies that brands advertising through sports ads must carefully select voice actors and music in order to provide the most positive signals for a brand to have the most significant effect and, thus, a greater return on the high sums invested in the ads.

First, this research contributes in terms of a new research process for using audio analytics in advertising. The detailed research process outlined can be used for future research examining audio and music from advertisements. Second, our findings provide additional support to the important role of voice features (e.g. intensity and frequency) as signals in inducing responses from consumers (Biswas et al., 2019; Hagtvedt and Brasel, 2016). Third, the study surfaces a new theoretical association: the effect of tempo in moderating the relationship between duration and propensity to like an ad.

This research tests empirically the level of consumer engagement with a product via a nonbrand-controlled platform. The authors explore how social media influencers and traditional celebrities are using products within their own social media Instagram posts and how well their perceived endorsement of that product engages their network of followers.

A total of 226,881 posts on Instagram were analyzed using the Inception V3 convolutional neural network (CNN) pre-trained on the ImageNet dataset to identify product placement within the Instagram images of 75 of the world's most important social media influencers. The data were used to empirically test the relationships between influencers, product placement and network engagement and efficiency.

Influencers achieved higher network engagement efficiencies than celebrities; however, celebrity reach was important for engagement overall. Specialty influencers, known for their “subject” expertise, achieved better network engagement efficiency for related product categories. The highest level of engagement efficiency was achieved by beauty influencers advocating and promoting cosmetic and beauty products.

To maximize engagement and return on investment, manufacturers, retailers and brands must ensure a close fit between the product type and category of influencer promoting a product within their social media posts.

Most research to date has focused on brand-controlled social media accounts. This study focused on traditional celebrities and social media influencers and product placement within their own Instagram posts to extend understanding of the perception of endorsement and subsequent engagement with followers. The authors extend the theory of network effects to reflect the complexity inherent in the context of social media influencers.

Protecting a nation’s heritage is an essential element for sustainable development. Heritage attracts tourism and drives tourist income, as well as bringing wider economic, social and environmental benefits. This study aims to improve understanding of the relationship between heritage protection spending in countries and economic development via tourism revenues via economic logic and the Kuznets curve.

This study applies economic modelling to test for the presence of a Kuznets curve. This study uses rare available matched data on heritage protection spending from UNESCO and on travel and tourism total contribution to gross domestic product (GDP) from the World Travel and Tourism Council.

This paper finds evidence of a negative quadratic relationship between heritage protection spending per capita and tourism GDP per capita, whereby increases in heritage spending initially lead to more tourism income (typically less developed nations), but then tourism spending increases more rapidly for smaller increases heritage spending on top of this initial investment (typically more developed nations). No countries are yet at the stage where they reap high tourism income from much lower levels of heritage spending.

The findings suggest that the future of heritage tourism will be very different to that of today; future tourism is likely to develop significantly through innovations in management approach and advanced technologies to manage the balance between demand and heritage degradation.

The predictive model allows us to plot future possibilities for heritage tourism, which in turn enables more informed decision-making regarding the planning and management of future heritage resources and tourism demand. Tourism heritage institutions and their benefactors should further plan and invest in innovations (such as technologies and management practices) to advanced economically and move along the tourism heritage Kuznets curve.

To the best of the author’s knowledge, this paper formally tests, for the first time, for the presence of a Kuznets curve in the relationship between heritage protection spending and tourism income. It provides original evidence of the value of applying the underlying theory of the Kuznets curve in a tourism context.

遗产保护工作是实现可持续发展的基本要素。作为重要的旅游吸引物, 遗产资源可以推动旅游业增收, 同时也会带来更广泛的经济、社会和环境效益。借由经济学逻辑和库兹涅茨曲线, 本研究开拓性地剖析了国家遗产保护支出和旅游财政收入带来的经济增长之间的关系。

本研究运用经济模型来检验库兹涅茨曲线的存在。研究所用相匹配的遗产保护支出和旅游业对GDP总贡献的珍贵数据分别来自联合国教科文组织和世界旅游理事会。

结果显示人均遗产保护支出与人均旅游GDP之间存在负曲线关系, 即最初增加遗产保护支出会带来相应的旅游收入增长（特别对于欠发达国家而言）, 然而有了最初的投资积累之后, 后续较小幅度的遗产保护支出增长便能带来较大的旅游收入增长（特别对于较发达国家而言）。目前还没有国家达到以较低的遗产支出水平获得高额旅游收入的阶段。

本文首次正式验证了遗产保护支出与旅游收入之间存在库兹涅茨曲线, 由此支持了库兹涅茨曲线基本理论在旅游情境中的应用价值。

研究结果表明, 未来的遗产旅游将与今天截然不同。通过创新管理方法和应用先进技术以协调旅游需求与遗产资源退化之间的关系, 未来的遗产旅游可能会得到显著发展。

通过预测模型, 我们能够描绘出遗产旅游可能的未来, 这反过来又使我们能够就未来遗产资源和遗产旅游需求的规划与管理做出更明智的决策。旅游遗产机构及其赞助者应进一步做好驱动创新的规划和投资（如技术和管理实践）, 以实现经济繁荣, 并使遗产旅游实践沿着库兹涅茨曲线的方向发展。

La protección del patrimonio de una nación es un elemento esencial para el desarrollo sostenible. El patrimonio atrae al turismo e impulsa los ingresos turísticos, además de aportar mayores beneficios económicos, sociales y ambientales. Este estudio realiza una contribución original mediante el análisis de la relación entre el gasto en protección del patrimonio en los países y el desarrollo económico a través de los ingresos del turismo basándose en la lógica económica y la curva de Kuznets.

El estudio aplica modelos económicos para contrastar la presencia de una curva de Kuznets. El estudio utiliza datos combinados disponibles sobre el gasto en protección del patrimonio de la UNESCO y sobre la contribución total de los viajes y el turismo al PIB del Consejo Mundial de Viajes y Turismo.

El trabajo evidencia una relación cuadrática negativa entre el gasto en protección del patrimonio per cápita y el PIB turístico per cápita, de forma que inicialmente, los aumentos en el gasto en patrimonio conducen a más ingresos por turismo (generalmente en naciones menos desarrolladas), pero el gasto turístico aumenta más rápidamente ante pequeños aumentos del gasto en patrimonio además de esta inversión inicial (generalmente en naciones más desarrolladas). Ningún país se encuentra en la etapa donde se alcance altos ingresos por turismo a partir de niveles inferiores de gasto en patrimonio.

Este trabajo prueba formalmente, por primera vez, la presencia de una curva de Kuznets en la relación entre el gasto en protección del patrimonio y los ingresos del turismo. Proporciona evidencia original del valor de aplicar la teoría subyacente de la curva de Kuznets en un contexto turístico.

Los resultados sugieren que el futuro del turismo patrimonial será muy diferente al de hoy; es probable que el turismo futuro se desarrolle significativamente a través de innovaciones en el enfoque de gestión y tecnologías avanzadas para gestionar el equilibrio entre la demanda y la degradación del patrimonio.

El modelo predictivo nos permite trazar las posibilidades futuras para el turismo patrimonial, lo que a su vez permite una toma de decisiones más informada sobre la planificación y gestión de los recursos patrimoniales futuros y la demanda turística. Las instituciones de patrimonio turístico y sus benefactores deben planificar e invertir aún más en innovaciones (como tecnologías y prácticas de gestión) para avanzar económicamente y moverse a lo largo de la curva de Kuznets del patrimonio turístico.

Wireless and mobile technologies are changing the way that many organizations operate and do business. Mobile business‐to‐employee solutions, especially field force automation (FFA), have been widely adopted throughout the planet. The purpose of this paper is to investigate the impact of wireless FFA in trade services organisations in New Zealand.

The paper uses a case study approach to examine two trade services organisations.

The findings demonstrate that wireless technologies can significantly enhance the benefits of traditional FFA.

The paper concludes with recommendations for future practice and research.

This paper contributes to the academic research in this field by examining two organizations that have already implemented their own wireless FFA solutions and have realized benefits and impacts as a result.

The purpose of this paper is to evaluate the feasibility of delivering the group family nurse partnership (gFNP) programme, which combines elements of the family nurse partnership (FNP) programme and Centering Pregnancy and is offered from early pregnancy to 12 months postpartum to mothers under 25.

A mixed method descriptive feasibility study. Quantitative data from anonymised forms completed by nurses from November 2009 to May 2011 (pilot 1) and January 2012 to August 2013 (pilot 2) reporting referrals, attendance and client characteristics. Qualitative data collected between March 2010 and April 2011 (pilot 1) and November 2012 and November 2013 (pilot 2) from semi-structured interviews or focus groups with clients and practitioners.

There were challenges to reaching eligible clients. Uptake of gFNP was 57-74 per cent, attendance ranged from 39 to 55 per cent of sessions and attrition ranged from 30 to 50 per cent. Clients never employed attended fewest sessions overall compared to those working full time. The group format and the programme’s content were positively received by clients but many struggled to attend regularly. FNP practitioners were positive overall but involving community practitioners (pilot 2) placed more stress on them.

Further feasibility and then cost and effectiveness research is necessary to determine the optimal staffing model.

The content and style of support of the home-based FNP programme, available only to first time mothers under 20, could be offered to women over 20 and to those who already have a child.

A range of interventions is needed to support potentially vulnerable families.

This new complex intervention lacks evidence. This paper documents feasibility, the first step in a thorough evaluation process.

This study aims to examine the phenomenon of consumers' willingness to give permission to receive short message service (SMS) advertisements. The purpose of this research is threefold: to better understand the phenomenon of consumers' willingness to give permission to receive text message (SMS) advertisements, to provide empirical data that supports our understanding, and to develop and test a basic model of consumers' willingness to give permission to receive SMS advertisements.

The study utilised a multi‐method research approach with both qualitative and quantitative data – via focus group and scenario‐based survey.

The results show that even if the relevance of the advertisement is high it does not on its own make consumers give permission; it needs to be combined with the control over opt‐in conditions to assure consumers and gain permission. Regarding brand familiarity, this appears to have little impact on consumers' willingness to give permission to receive SMS advertisements. The opt‐in conditions valued the most are: the possibility to withdraw at any time, personal data disclosure only with consent, and mobile phone operators as a primary advertising filter.

The principal contribution of the paper is in furthering our understanding of the concept of permission as related to the emerging topic of SMS advertising. The paper provides evidence and data triangulation in an area that so far has had little empirical investigation.

Human needs and motivation are a central tenet of marketing discourse. In this exploratory study we attempt to understand the factors that drive individuals' higher‐order human needs in a relatively new electronic marketing context, that of virtual worlds.

The study employs the higher‐order needs from Abraham Maslow's hierarchy (i.e. belonging, esteem and self‐actualization) and a series of drivers related to the characteristics of the virtual world medium, personality characteristics, channel interaction, and demographic criteria. Data is collected via a survey delivered in Second Life (n=404) and analyzed using PLS path modeling.

Arousal, pleasure, and individualism act as particularly potent drivers of higher‐order needs in virtual world channels, while channel intensity, affinity for technology and gender act as lesser drivers.

An understanding of personal motivations affords us an insight into consumers' needs and wants and is a useful precursor to targeting them and in effectively fulfilling these needs. This has implications not only in a single channel but across multiple channels.

This study represents one of the first attempts to better understand consumer behavior in virtual world channels, and, by so doing, better inform our understanding of personal needs in the modern multi‐channel environment.

As organizations have begun increasingly to communicate and interact with consumers via the Web, so the appropriate design of offerings has become a central issue. Attracting and retaining consumers requires acute understanding of the requirements of users and appropriate tailoring of solutions. Recently, the development of Web offerings has moved beyond the commercial domain to government, both national and international. This paper examines the results of a quality survey of a Web site provided by the OECD. The site is examined before and after a major redesign process. The instrument, WebQual, draws on previous work in Web site usability, information quality, and service interaction quality to provide a rounded framework for assessing e‐commerce and e‐government offerings. The metrics and findings demonstrate not only the strengths and weaknesses of the sites, but also the different impressions of users in member countries. These findings have implications for e‐government Web site offerings.

The application of the Internet to traditional business and administrative activities has introduced considerable digitisation and process automation. One key area of development from a research perspective is the use of electronic (e‐)surveys, based on Internet technology. E‐surveys can bring many benefits from a research perspective, including extremely low marginal costs, automation of processes, and the ability to collect and manage very large samples. However, experience in the use of e‐surveys has found considerable challenges in achieving a quality sample frame and response rates. This paper explores the development of an e‐survey tool for assessing information needs of growth enterprises in Brazil. A key learning from the use of the survey is the use of control methods for both improving the response rate, and, as a consequence, the sample frame.

This research sets about discovering if it is possible to identify distinct, practice‐relevant and addressable clusters by means of selected criteria for constructing typologies – such as psychographic, culturally‐specific and purchasing behaviour‐relevant features – which permit an online supplier to efficiently and effectively focus on attractive consumer segments.

To answer the research question, the study conducted an online survey with 1,011 participants. The respondents were from three countries, each with culturally‐distinct features: France, Germany and the US. Underpinning the research are theoretically‐secured constructs of purchasing behaviour on the internet.

Cluster analysis confirmed the outstanding validity of a three‐cluster‐solution (97.7 per cent score) – risk‐averse doubters, open‐minded online shoppers, and reserved information‐seekers. Discriminant analysis shows that certain constructs, particularly “neuroticism”, “willingness to buy” and “shopping pleasure”, separate the clusters best.

An extension of our clustering approach to more countries and especially non‐western cultures promises interesting results. Furthermore, researchers are encouraged to enlarge the catalogue of clustering variables to allow an even more specific fine‐tuning of the main clusters identified in this research.

The classification created provides the potential for a much closer fit between a company's goods and services and heterogeneous customer needs.

The principal contribution of the paper is the identification of three different clusters of internet users. This can be of good use for shaping internet marketing, particularly by virtue of the likely stability over time from cultural and personality characteristics.