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Color psychology theory reveals that complex images with very varied palettes and many different colors are likely to be considered unattractive by individuals. Notwithstanding, web content containing social signals may be more attractive via the initiation of a social connection. This research investigates a predictive model blending variables from these theoretical perspectives to determine crowdfunding success.

The research is based on data from 176,614 Kickstarter projects. A number of machine learning and artificial intelligence techniques were employed to analyze the listing images for color complexity and the presence of people, while specific language features, including socialness, were measured in the listing text. Logistic regression was applied, controlling for several additional variables and predictive model was developed.

The findings supported the color complexity and socialness effects on crowdfunding success. The model achieves notable predictive value explaining 56.4% of variance. Listing images containing fewer colors and that have more similar colors are more likely to be crowdfunded successfully. Listings that convey greater socialness have a greater likelihood of being funded.

This investigation contributes a unique understanding of the effect of features of both socialness and color complexity on the success of crowdfunding ventures. A second contribution comes from the process and methods employed in the study, which provides a clear blueprint for the processing of large-scale analysis of soft information (images and text) in order to use them as variables in the scientific testing of theory.

The recently developed resource orchestration theory studies the processes by which managers handle resources to create competitive advantages. According to this theory, it is the way that resources interact with each other that results in such advantages. Resource integration, i.e. the alignment, or fit between resources, is one important outcome of resource orchestration processes. This paper aims to develop a scale and outline approaches to measuring such resource integration.

Using a typology of five types of resources derived from value theory, the authors develop a scale for measuring the fit between resource types, i.e. the degree of resource integration. The authors illustrate the method using a case example of an IT company and demonstrate how a variety of statistical methods including hierarchical cluster analysis, structural equation modeling, social network analysis and methods from biostatistics can provide measures of resource integration.

The authors develop a scale and associated measures that can help scholars systematically measure and identify firms with a high or low level of resource integration capability. This makes it possible to investigate further these companies and reconstruct how they support dynamic capabilities, as well as commonalities across firms with high and low levels of this capability.

Existing studies on resource orchestration have failed to provide us with a reliable measurement instrument that can be used both in cross-sectional work, and in repeated or time-series studies, allowing us to assess the degree to which a wider range of resources in an organization are integrated. The authors develop and demonstrate such an instrument.

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.

The role of emerging digital technologies is of growing strategic importance as it provides significant competitive advantage to organisations. The chief information officer (CIO) plays a pivotal role in facilitating the process of digital transformation. Whilst demand continues to increase, the supply of suitably qualified applicants is lacking, with many companies forced to choose information technology (IT) or marketing specialists instead. This research seeks to analyse the organisational capabilities required and the level of fit within the industry between CIO requirements and appointments via the resource-based view.

Job postings and CIO curriculum vitae were collected and analysed through the lens of organisational capability theory using the machine learning method of Latent Dirichlet Allocation (LDA).

This research identifies gaps between the capabilities demanded by organisations and supplied by CIOs. In particular, soft, general, non-specific capabilities are over-supplied, while rarer specific skills, qualifications and experience are under-supplied.

The research is useful for practitioners (e.g. potential CIO candidates) to understand current market requirements and for companies aiming to develop internal training that meet present and future skill gaps. It also could be useful for professional organisations (e.g. CIO Forum) to validate the need to develop mentoring schemes that help meet such high demand and relative undersupply of qualified CIOs.

By applying LDA, the paper provides a new research method and process for identifying competence requirements and gaps as well as ascertaining job fit. This approach may be helpful to other domains of research in the process of identifying specific competences required by organisations for particular roles as well as to understand the level of fit between such requirements and a potential pool of applicants. Further, the study provides unique insight into the current supply and demand for the role of CIO through the lens of resource-based view (RBV). This provides a contribution to the stream of information systems (IS) research focused on understanding CIO archetypes and how individual capabilities provide value to companies.

Despite the growing popularity of ride-sharing in China, our understanding regarding users' trust and behavioral intention toward this new type of hailing service is still limited. This study aims to examine the joint influences of institution-based, process-based and characteristic-based antecedents on customers' trust and continuance intention toward ride-sharing. Furthermore, the study aims to investigate if the relative influences of institution-based and process-based antecedents on trust are contingent upon customers' prior experience.

Drawing upon trust-building literature and the elaboration-likelihood model, we developed a research model and conducted an online survey to users of Didi, the largest ride-sharing platform in China. We used the structural equation modeling technique to analyze the collected data and examine the proposed research model.

Ther major research findings of the study suggest that structural assurance, government support, platform reputation and disposition to trust exhibit significant and different degrees of influences on customers' trust beliefs and continuance intention toward ride-sharing. A multi-group analysis further suggests that customers with less use experience focus more on government support and platform reputation, while customers with more use experience are more likely influenced by structural assurance.

The study contributes to the extant literature by identifying the joint influences of institutional-based, process-based and characteristic-based antecedents on users' continuance intention of ride-sharing service and uncovers the mediation mechanism of trust and perceived risk. Moreover, the study refines the boundary condition of the proposed research model by revealing the moderating effect of use experience.

Social CRM (SCRM) technologies, as distinct from CRM technologies per se, provide an important new resource for companies to develop their relationships with customers and drive business performance. This research develops and tests an original model exploring the impact of SCRM on firm performance and the relationships between SCRM use, engagement, CRM capabilities and performance.

The authors collect a sample from 227 companies using a survey and test the model using structural equation modelling.

The findings reveal that all the hypotheses in our research model are supported: the use of SCRM technologies lead to developing capabilities and engagement. These capabilities and engagement are then transformed into business performance through a mediation process. Overall, these findings are consistent with resource-based view and dynamic capability theories; these new technological and relational resources allow the creation organizational capabilities, which are essential to enable firms to improve their performance.

SCRM does not directly lead to performance but facilitates CRM capabilities and engagement that allow businesses to enhance performance.

First, the authors conceptualize and operationalize SCRM as a unique concept, distinct in the literature. Second, the authors provide an original conceptualization of SCRM as a combination of CRM capabilities and engagement. Third, the authors study the mediating effect of CRM capabilities and engagement in the relationship between social CRM use and performance. Finally, this research is conducted in three North African countries where there is currently a dearth of understanding of the impact of modern information systems on organizational performance.

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.

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.