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The purpose of this paper is to quantify how mobile app usage relates to the unique characteristics of behavioral orientations and content types, focussing on the interrelationship among content usage in the context of in-app purchase.

Using a large-scale data set of individual content usage in a particular music mobile app, the author builds a simultaneous equation panel data model to examine dynamic interdependent usage of mobile app.

The paper finds a positive temporal effect of self-oriented content usage (download) on other-oriented content usage (gift), based on behavioral orientation, and also a temporal interdependence between external (ringtone) and internal usage (mp3) based on types of content. The paper also finds that the fourth generation communications standard increases content usage in this mobile app.

These findings provide useful insights for mobile app developers, mobile network operators, content providers, and mobile device manufacturers.

This paper is one of the first to consider and empirically test the interrelationship between various kinds of content usage in music apps.

People can easily track and understand their usage pattern for any content (e.g. movies, games) or service (e.g. card payment, cell phone usage) by using technologies such as the internet and smart phones. When consumers evaluate their past consumption patterns, they may experience two different kinds of regret: content-based or monetary-based. The purpose of this paper is to propose that perceived self-control, defined as the extent to which people believe they can control their usage, plays a moderating role in the tariff-choice process (flatrate vs pay-per-use) for two types of content: vice-based and virtue-based.

Two laboratory experiments were designed to test the hypotheses. There were a total of 200 participants (86 for Experiment 1 and 114 for Experiment 2) who completed the entire experimental process (i.e. stimulus exposure, questionnaire reporting, dependent variable measurement, manipulation of the independent variables, and control checks).

The results of this research provide evidence supporting the role of perceived self-control in tariff preference by showing that preference varies between flat-rate and pay-per-use tariff options. Specifically, virtue-based content users were more likely to prefer the pay-per-use tariff when their perceived self-control was low vs when it was high. In contrast, vice-based content users were more likely to prefer the flat-rate tariff when their perceived self-control was low vs when it was high.

There are three contributions of the present research. First, the authors investigated the effect of content type on tariff preference. Second, the authors suggest that there is a moderating effect of perceived self-control on tariff preference. Third, this study revealed the factors affecting consumers’ perceived self-control.

The purpose of this study is to present an overview of digital multimedia broadcasting (DMB) and to explore the users' perception on DMB cellular phone or “cellevision”, video‐on‐the‐go services that deliver television to cell phones.

This two‐phase study explores users' reactions to DMB contents and services, users' perceptions on the pricing of DMB phone handsets, phone usage time, program contents, and DMB carrier services. Findings from the use of qualitative method of existential phenomenology were explored further with quantitative analyses including T‐test, ANOVA, and Duncan test.

The young generation will be a major impact on the DMB market due to their mindset and lifestyle. Thus, the DMB market strategy should be to base decisions on reaching out and focusing on the younger generation (especially, the teens) as the latest trendsetters.

The sample size was collected during the experimental/trial stages of satellite DMB services. This research should be continued to solidify findings with an increased sample size of respondents collected during the actual stage of satellite‐DMB and terrestrial‐DMB services.

The findings from this exploratory research will be valuable for the DMB service and content providers to gain insight into various age groups and their perceptions.

This study is the first kind of research in this area. With the study as a forerunner, the authors examined the effect of DMB mobile phone program contents and services on users.

According to European Union Open Internet Regulation, commercial practices of internet access service providers (IASP) should not restrict end-users’ choice regarding services, applications or contents. This paper aims to analyze the effects of Zero Rating (ZR) on freedom of choice translating this regulatory criterion into a formal expression: providing a ZR offer on a content or application provider (CAP) restricts end-users’ choice if it reduces the volume or provision of others usages.

The analysis is made in two steps. First, the authors assess the direct effect of introducing zero rating on non-ZR usages, all other things equal. Second, the paper studies the knock-on effect of ZR on IASP offers and the supply of CAP.

In the short term, zero rating does not restrict end-users’ choice increasing both ZR and non-ZR usages. In the long term, in the case of pure ZR, IASPs may adapt their offer to support ZR costs impacting negatively other usages. However, in practice, these effects are compensated or diluted by competitive forces or if the ZR traffic is small relatively to the data allowance. In the case of SD, the CAP covers the cost which prevents cross-subsidies and protects freedom of choice if SD is open to all CAPs.

The economic literature on zero rating is scarce and assesses this practice from the general economic criterion of social or consumer welfare. This paper is the first one to use economic analysis to analyze whether Zero Rating is compatible with the EU regulatory criterion of freedom of choice.

In a large‐scale digital library, it is essential to recommend a small number of useful and related articles to users. In this paper, a literature recommendation framework for digital libraries is proposed that dynamically provides recommendations to an active user when browsing a new article. This framework extends our previous work that considers only Web usage data by utilizing content information of articles when making recommendations. Methods that make use of pure content data, pure Web usage data, and both content and usage data are developed and compared using the data collected from our university's electronic thesis and dissertation (ETD) system. The experimental results demonstrate that content data and usage data are complements of each other and hybrid methods that take into account of both types of information tend to achieve more accurate recommendations.

In view of the increased impact of social media, non-profit organizations (NPOs) should review their management model for stakeholder relationships. The purpose of this paper is to analyze the influence of factors on the use of Twitter by NPOs as a mechanism for disclosing information and dialogue with their stakeholders, and in particular: “donor dependence,” “fundraising expenses,” “organizational age,” “organizational size,” “online community size,” “network activity” and “board size.”

A content analysis of Twitter use as a strategic communication tool was conducted and a multivariable linear regression analysis was performed.

Smaller organizations and those with a larger online community are the most interested in implementing Twitter as a one or two-way communication strategy. Likewise, the NPOs with the highest degree of donor dependence strive most in the use of contents of Twitter as one-way communication mechanism.

This study contributes to a better understanding of social media implementation in the NPO sector and advances the identification of the main causes that motivate NPOs to improve their accountability through social media.

The paper’s subject is relatively innovative due to the scarce studies focussing on social media used by NPOs. In spite of the advantages offered by Twitter, few studies have specifically addressed NPOs’ current use of this platform, and fewer still have analyzed the factors that motivate them to use this tool.

Given the importance of the growing segmentation of ageing consumers and their increasing interaction with the Internet, digital marketing scholars are becoming more interested in this market. Prior research needs to pay more attention to this market in many contexts of digital marketing. This study aims to provide insights into ageing consumers’ content usage, content typology choices, and online brand advocacy (OBA).

Semi-structured interviews were applied, and 16 consumers from Southern Europe aged 55+ were included. The interviews were transcribed and examined following the principles of content analysis.

According to the research, older consumers display their usage and concerns regarding online content. They have different decision-making processes depending on whether they are purchasing products or services. Likewise, their choices of content typology vary based on the utilitarian or hedonic product category.

This study contributes to the literature by providing insights into this growing segmentation and proposing an OBA framework for older consumers related to content marketing. Finally, the study suggests that older consumers are passive online and active offline brand advocates.

The chapter offers complete details of the latest SGL version particularly suitable for dealing with large security systems and emerging crisis situations. It describes main types of constants representing information, physical matter or both and five very different and specific types of variables operating in fully distributed spaces and even being mobile themselves when serving spreading algorithms. Also given full repertoire of the language operations, called rules, which can be arbitrarily nested and carry different navigation, creation, processing, assignment, control, verification, context, exchange, transference, echoing, timing and other loads. The rules equally operate with local and remote values, process both, matter and distributed networked knowledge, and can express active graph-based patterns navigating, matching, conquering and changing distributed environments. Elementary programming examples in SGL are also provided.

The purpose of this paper is to explore how technological and strategic developments enable new billing processes for mobile content services.

Interviews with practitioners are used as input for designing different archetypical role division models for billing and process models. The potential of these process models to reshape the mobile industry is evaluated on three criteria: convenience for the end‐user; potential resource barriers; and the fit with strategic interests of the actors involved.

Both technological advances and the introduction of new roles and strategies in the mobile domain enable the emergence of alternative billing methods. While network operator‐centric models remain relevant in the short term, in the longer term they will co‐exist with other models in which the customer transaction is owned by the content aggregator, the content provider, the ISP or the payment provider.

The research demonstrates the relevance of analysis at the process level in assessing the feasibility of new role division models at the value creation level.

The emergence of alternative billing providers is expected to change the power balance in the value network and assist in opening up the “walled garden”.

The analysis extends beyond existing discussions on billing in the mobile industry, which typically focus on the value network level, as the process level and the related resources are included. Moreover, the empirical data from the interviews with practitioners at various organizations provide new insights into the feasibility of these models in practice.

Web content has been widely used for recommending personal webpages. Despite its popularity, the content‐based approach regards a webpage simply as a piece of text, thereby often resulting in less authoritative recommendations of webpages. This paper aims to propose novel approaches that utilise other sources of information pertaining to webpages to facilitate the automatic construction of an authoritative web recommender system.

In this research, four approaches that exploit hyperlink structure, web content and web‐usage logs for making recommendations are proposed. The proposed approaches have been implemented as a prototype system, called the authoritative web recommender (AWR) system. An evaluation using the web‐usage logs and the corresponding pages of a university web site was performed.

The results from the evaluations using empirical data demonstrate that the four proposed approaches outperform the traditional content‐only approach.

This paper describes a novel way to combine information retrieval, usage mining and hyperlink structure analysis techniques to find relevant and authoritative webpages for recommendation.