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Crowdfunding has become a significant way of funding independent film. However, undertaking a campaign can be time consuming and risky. The purpose of this paper is to understand the predictors likely to produce a film campaign that meets its funding goal.

This study analyses 100 creative crowdfunding campaigns within the film and video category on crowdfunding website Kickstarter. Campaigns were analysed in relation to a number of variables, followed by a discriminant analysis to highlight the main predictors of crowdfunding success.

This study finds key predictors of crowdfunding success and investigates differences between successful and failed crowdfunding campaigns. The attributes of these predictors lead us to question the long-term ability of crowdfunding to aid companies poorer in terms of time, financial and personnel resources, and therefore arguably in the greatest need of crowdfunding platforms.

The findings provide insight to practitioners considering the crowdfunding approach and offers knowledge and recommendations so as to avoid what can be naïve and costly mistakes. The findings highlight that crowdfunding should not be considered lightly and can be a considerable investment of resources to be successful.

The analysis of crowdfunding campaigns provides details on the significant predictors of crowdfunding success particularly relevant to creative campaigns. The findings provide a critique of previous claims about the benefit of crowdfunding for creative SMEs.

The purpose of this paper is to investigate funders' decisions in supporting reward-based crowdfunding (RBCF) in the creative industries by providing insights into the role of trust in the decision-making process of funders. In doing so, the authors examine how trust is developed through online interaction.

Data were collected from interviews and participation at short-term immersive events and gatherings. In addition, data were gathered from online discussions and social media platforms related to RBCF campaign. Qualitative analysis was performed to offer a deeper understanding of funder decision-making processes.

New insights were revealed into funder decision-making processes. Using foraging practices, funders participating in RBCF campaigns build trust before framing their final funding judgments. The paper’s findings highlight the interplay of organizational competency with previously uncharted relational dimensions associated with funder decision-making processes. The authors also revealed how nascent and experienced funders differ in their evaluation of risk.

This study offers an understanding of funder decision-making processes in creative RBCF campaigns. Their support of RBCF campaigns in the creative industries can present some potential risks. Further investigation is still required to reveal the funder's decision-making process. By looking at the roles of trust, the authors provide a conceptualization of competence and the relational dimension of trust, and how trust is developed as a means for mitigating risk.

Looks at how the Labour Party in the UK re‐organized and regenerated itself between 1983 and 1992 and suggests that, as a result, the party has an over‐reliance on corporate marketing and management, to the detriment of party democracy. Also believes that overcentralization of decision making took place, particularly with regard to the reporting of market research data, a central function at the heart of modern electioneering. Discusses some of the problems which this caused and the changes which have taken place since the departure of Neil Kinnock in 1992.

We present a comprehensive literature review and critique of union decertification research, and develop a theoretical framework that should prove useful for future research. The framework incorporates three theoretical viewpoints from several research traditions: the expected utility, social‐political, and workplace voice perspectives. We provide suggestions for how each viewpoint can be modeled in future research. Additionally, although some previous decertification research was theoretically rich, the empirical findings across prior studies were ambiguous and inconsistent. We analyze the reasons for the ambiguous and inconsistent prior findings, and note how future research can avoid or minimize the empirical problems of the past.

Political management is about getting things done in campaigns, parties and government. Political organizations can use management concepts such as strategic planning, human resources and organizational design to help them achieve their goals. Research into specifically how management is used by political practitioners – political staffers and politicians – in government is limited. This study aims to fill that gap.

The authors review the limited literature on political management, outline interview methodology, results and conclude with overall lessons drawn out using the qualitative data analysis software NVivo.

This study identifies the aspects of political management that political practitioners saw as the most important, the difference between managing in business and politics, and why.

This study provides suggestions for what future empirical research should focus on, noting a focus on informal behavior that relate to people and power that are not seen from outside the organization.

The perspectives of high-level practitioners help give a view to what political management really is.

Focuses on the client’s relationship with its advertising agency to examine advertising client‐agency roles in campaign planning. Seeks to establish who buys, and to verify the role of the campaign process from a decision‐making perspective. Begins with a review of the relevant literature and then outlines a survey of 900 companies undertaken by the authors. Gives some recommendations based on the survey results.

The purpose of this paper is to discuss some drivers which can promote reward-based crowdfunding campaigns and then compare their effects on two categories of cultural and creative projects.

The authors first distinguished the roles of “intrinsic qualities” and “external supports” in crowdfunding campaigns. Then based on the theories of reward-based crowdfunding, impression management and social capital, a research model was built to discuss the effects of external supports and a comparative study was conducted by using data collected from Kickstarter.com.

It indicates that the three dimensions of external supports (reward support, impression support, and relationship support) have positive effects on film and video and publishing projects. Besides, the authors also found that “category of a project” can moderate the relationship between impression support and crowdfunding performance. The effect of impression support on visual works is different from that on printed works.

These findings not only prove that external supports actually play an important role in crowdfunding campaigns, but also reveal that for different categories of cultural and creative crowdfunding projects, the effects of external supports are different. Some other theoretical and practical implications are also provided.

This research reveals some details about the important role of external supports in crowdfunding campaigns and compares their effects on different categories of cultural and creative projects. It can provide useful suggestions for improving reward-based crowdfunding performance.

The paper aims to help enterprises gain valuable knowledge about big data implementation in practice and improve their information management ability, as they accumulate experience, to reuse or adapt the proposed method to achieve a sustainable competitive advantage.

Guided by the theory of technological frames of reference (TFR) and transaction cost theory (TCT), this paper describes a real-world case study in the banking industry to explain how to help enterprises leverage big data analytics for changes. Through close integration with bank's daily operations and strategic planning, the case study shows how the analytics team frame the challenge and analyze the data with two analytic models – customer segmentation (unsupervised) and product affinity prediction (supervised), to initiate the adoption of big data analytics in precise marketing.

The study reported relevant findings from a longitudinal data analysis and identified some key success factors. First, non-technical factors, for example intuitive analytics results, appropriate evaluation baseline, multiple-wave implementation and selection of marketing channels critically influence big data implementation progress in organizations. Second, a successful campaign also relies on technical factors. For example, the clustering analytics could promote customers' response rates, and the product affinity prediction model could boost efficient transaction and lower time costs.

For theoretical contribution, this paper verified that the outstanding characteristics of online mutual fund platforms brought up by Nagle, Seamans and Tadelis (2010) could not guarantee organizations' competitive advantages from the aspect of TCT.

The purpose of this paper is to design a qualitative model of crowdfunding dynamics through the document model building (DMB).

Methodology in this paper is the qualitative system dynamics through DMB. In DMB, the authors identify the variables that are drivers of its growth and collapse, and the model will be developed by using the systematic review of the literature.

Designing of the dynamics of crowdfunding model through DMB. Identifying variables that are drivers of crowdfunding growth and collapse. Determining leverage points in crowdfunding diffusion.

This paper, for the first time, with the aim of identifying and explaining the efficient positive and negative dynamics in this method, examines crowdfunding systematically and structurally.

The concepts of customer relationship management (CRM) and knowledge management (KM) both focus on allocating resources to supportive business activities in order to gain competitive advantages. CRM focuses on managing the relationship between a company and its current and prospective customer base as a key to success, while KM recognizes the knowledge available to a company as a major success factor. From a business process manager’s perspective both the CRM and KM approaches promise a positive impact on cost structures and revenue streams in return for the allocation of resources. However, investments in CRM and KM projects are not without risk, as demonstrated by many failed projects. In this paper we show that the benefit of using CRM and KM can be enhanced and the risk of failure reduced by integrating both approaches into a customer knowledge management (CKM) model. In this regard, managing relationships requires managing customer knowledge – knowledge about as well as from and for customers. In CKM, KM plays the role of a service provider, managing the four knowledge aspects: content, competence, collaboration and composition. Our findings are based on a literature analysis and six years of action research, supplemented by case studies and surveys.