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The purpose of this paper is to examine the demand curve for information on tourism destinations and accommodation. The current study compares the demand curves for this information to trends described by Chris Anderson as the “long tail”.

The current study examines the demand for information about accommodation establishments and destinations in Australia through the Australian Tourism Data Warehouse (ATDW). The study examines the demand for information received through the ATDW in 2009 for 5,600 Australian destinations and over 33,200 accommodation listings. Demand for information was measured by page impressions (PIs). Over 10 million PIs were received for destinations and more than 17 million PIs were received for accommodation listings, all of which were examined.

The current research shows that both accommodation and destination demand curves display the extended demand curve typical of the long tail phenomenon. The analysis also shows that demand curves within the aggregate demand curve also follow “long tail” demand curves. The study contributes to understanding of the demand curve for tourism information for Australian product using the ATDW.

The paper provides analysis of tourism information demand in the context of the “long tail” phenomenon.

This paper aims to explore the functionality of long tail markets (LTM), where the consumers cannot be reached or are ignored by the traditional mainstream businesses, in new products and business development.

First, the authors review two Chinese entrepreneurial practices in the Fintech sector and low-speed electric vehicles (LSEV) and describe their stylized facts; second, they explore a possible theoretical LTM framework to underscore these practices; third, they make a connection between LTM and existing business models and analyze its significance and practical implications in business, in particular, in developing economies.

The LTM business approach has helped Chinese companies in the Fintech sector and LSEVs gain global attention. The success factors of LTM for businesses are identifying a specific customer base, being aware of localization products and playing skillfully with regulations; the LTM approach has several overlaps with existing studies on niche products and base of the pyramid market.

Based on some emerging and attractive business practices in China, this paper offers a valuable attempt to theorize them as long tail phenomenon. The LTM thesis provides a potential framework to reference for similar methods elsewhere and may illuminate entrepreneurship to be explored in similar markets.

This paper is aimed at describing how companies can find new opportunities for customer retention and lifetime value by applying the concepts of dialogue marketing, network‐building and relevant rewards.

The paper cites the work of Chris Anderson, Editor‐in‐Chief of Wired Magazine, and the work of Italian economist Vilfredo Pareto. The paper explains how the works of these two men, and how programs put into place at two companies (Hewlett‐Packard and Rain Bird), have opened new vistas in customer retention.

The study found that by applying specific marketing principles, companies can do a better job of retaining all customers, specifically those customers who are not in the top 20 percent of revenue‐producers.

Most companies believe that 80 percent of their business comes from 20 percent of their customers. However, by applying specific marketing principles, companies can do a better job of retaining all customers, specifically those customers who are not in the top 20 percent of revenue‐producers.

The paper takes a new look at an old principle (the 80‐20 Pareto Principle).

This paper is aimed primarily at academic library managers and acquisition librarians. By analogy to Pareto studying the relationship between clients and turnover, the paper will study subscriptions to e‐journals and usage statistics. The aim is to evaluate the long tail of usage statistics and to compare it with subscription lists of individually selected titles and packages (big deals).

The paper exploits usage statistics and subscription data from a national usage study of an academic publisher. Data are from 2010.

Usage statistics are partly shaped by the long tail effect. Individual subscriptions of journals are more selective than big deals, and trend towards a traditional retail curve. Unlike subscriptions through packages, usage and individual subscriptions can be related by a similar inclination. But both types of subscriptions fail to predict the popularity of a title in its usage.

The paper uses data from a national usage study and tries to identify global trends. Thus, it does not distinguish between customer categories, disciplines or activity domains.

The paper considers the opportunity provided by big deal for acquisition policy. Ready‐made big deals sometimes appear as an unbounded and excessive supply, not suited to true and sufficient users' needs, but on the other hand, selective acquisition policy cannot completely anticipate online usage behaviour.

Only a few studies distinguish Pareto from long tail distributions in usage statistics, and there is little empirical evidence on the impact of selected subscriptions versus big deals on these statistics.

The purpose of this paper is to discover the economic effects of open innovation investigated the following research questions: do economic effects of open innovation – a certain economic phenomenon or economic paradigm that surpasses the level of the management strategies of individual enterprises – exist? If so, what are the economic effects?

The authors analyse the change of classical economic characteristics, such as diminishing marginal products, economy of scale, and X-inefficiency, which are selected by literature review to find out the effects of open innovation. The authors select long-tailed phenomena and App Store phenomena, which are a direct result of open innovation. From these, the authors find out the effects of open innovation.

Through exploratory-level studies, the economic characteristics of open innovation have been identified: gradual increases of marginal products, the economy of diversity, and X-efficiency improvement.

These three economic characteristics of open innovation have been verified through secondary analysis methods based on the long-tailed phenomenon and App Store phenomenon. Open innovation triggers new economic effects. Thus, the authors should create new strategies and policies to treat open innovation that are based on additional deep research.

This paper introduces new ideas about open innovation in economics.

According to the findings, open innovation will give the authors new ways to develop continuously in a knowledge-based economy.

For the first time, the authors understand the economic value of open innovation and its implications.

Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.

Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.

Prior literature indicates conflicting effects of online product information, which may complicate or simplify consumer purchase decisions. Therefore, the purpose of this paper is to investigate how different online product information (i.e. the choice set size and the popularity information and its presentation) affect consumers’ decision making and the related market outcomes.

This research relies on information-processing theories and social learning theory. By stepwise conducting two 2×2 within-subject factorial design experiments, this research examines the effects of the choice set size, product popularity information and product presentation on consumers’ decision making and the aggregated market outcomes.

The results show that product popularity information led consumers to either simplify or complicate their decision strategy, depending on the size of the choice sets. Additionally, presenting products by their popularity in descending order resulted in consumers making decisions with a larger decision bias. The results also show that the presence of product popularity was more likely to forge a “superstar” structure in a large market.

The research suggests that e-retailers and e-marketplace operators should carefully utilize product popularity information. Multiple mechanisms that shape different shopping environments with different orders are necessary to create a long-tailed market structure.

This study found the mixed effects of product popularity information when it is presented in different environments (i.e. the large/small choice set and the sorted/randomized product presentation). The overuse of popularity information may induce consumers’ decision bias.

Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.

Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.

Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.

Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.

The development of digital inclusive finance (DIF) has increased households' financial investments and consumption. However, few studies have considered whether DIF strengthens the substitution of household financial investment for consumption behavior. To clarify the relationship between DIF, household financial investment and household consumption behavior, the authors combine matched data from the China Family Panel Studies (CFPS) and Peking University Digital Inclusive Finance Index (2011–2018) to explore the impact of DIF on household financial substitution. This study aims to discuss the aforementioned objectives.

This study's empirical analysis applies ordinary least squares (OLS) to answer how DIF affects household financial investment substitution for consumption. This study uses three approaches to examine the robustness of the benchmark regression model. These three approaches are replacing the core explanatory variables, using the lagged Digital Inclusive Finance Index and using the data of additional years. This article also assesses endogeneity by applying the instrumental variable method.

The results indicate that DIF significantly enhances household financial substitution. This article also assesses endogeneity by applying the instrumental variable method and robustness test methods. The impact mechanism test shows that DIF positively affects household financial substitution, by improving information dissemination efficiency and enhancing financial participation. Further research finds that the impact of DIF on household financial substitution is more pronounced in households with low to moderate savings rates, low to average income households and homes without family members who start their businesses.

This study analyzed the effect and mediating mechanisms of digital financial inclusion on household financial substitution. Like all studies, the research had some limitations. First, due to differences in culture and infrastructure development, people do not understand and judge economic behaviors, such as household financial investment and consumption, in the same way. It can lead to certain biases in their understanding and study responses. Second, the study is mainly based on data from China. Future studies should be extended to foreign countries for comparative analysis. Third, the development of DIF has not yet completed a full cycle, and many problems have not been fully identified.

This study provides some practical implication. First, the public sectors should effectively weigh the spending relationship between household financial investment and consumption. Second, the public sector should focus on the policy optimization and consistency of DIF. The public sector should both enhance the breadth of coverage and depth of impact of DIF and focus on long-tail groups to fully reflect the equity and inclusiveness of DIF.

This study responds to the discussion on the relationship between financial investment, saving and consumption games in household expenditures and enhances our understanding of how DIF affects households' complex economic behavior. The most revealing finding is that DIF reinforces the substitution of household financial investment for household consumption. DIF positively affects household financial substitution by improving the efficiency of information dissemination and increasing financial participation, which is a valid extension of the study on the mechanisms of information dissemination and financial participation in financial investment and consumption proposed.