Dynamics of information diffusion and its applications on complex networks

The management control literature has been criticised for having concepts that are ill-defined. This causes mixed empirical results and makes it difficult to build a coherent body of knowledge. The paper addresses this issue by developing an important framework, that of Simons’ Levers of Control, which has been criticised in the past for its vague and ambiguous definitions. Using methods of concept analysis, the paper analyses prior literature to identify ambiguities with the different levers of control and uses examples from prior field studies to illustrate these ambiguities. The paper also analyses the positive and negative dimensions of controls which, although part of Simons’ framework, have remained unexplored. For each ambiguity identified, the paper proposes a solution to improve concept definitions or to clarify the relationship between concepts. The result is a revised framework that explicitly separates managerial intentions for controls and employee perceptions of controls. Managerial intentions are comprised of three levels: 1) types of controls (social and technical) 2) which are organised as four control systems (strategic performance, operational performance, strategic boundaries and operational boundaries) and 3) which can be used diagnostically or interactively, have an enabling or constraining role and can lead to either reward or punishment. Finally, after defining the framework’s concepts and explaining how they interact, the paper concludes by offering avenues for future research.

A Conceptual Development of Simons’ Levers of Control Framework

The use of mobile applications (apps) has been growing in the world of technology, a phenomenon related to the increasing number of smartphone users. Even though the mobile apps market is huge, few studies have been made on what makes individuals continue to use a mobile app or stop using it. This study aims to uncover the factors that underlie the continuance intention to use mobile apps, addressing two theoretical models: Expectation confirmation model (ECM) and the extended unified theory of acceptance and use of technology (UTAUT2). A total of 304 questionnaires were collected by survey to test the theoretical framework proposal, using structural equation modelling (SEM). Our findings indicate that the most important drivers of continuance intention of mobile apps are satisfaction, habit, performance expectancy, and effort expectancy.

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Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model

The impact of digital transformation on the retailing value chain

With the rapid growth of smartphone and smartphone application users, mobile apps have attracted an increasing amount of attention as an engaging platform for marketing communication. A content analysis of 106 branded apps of global brands found that most global brands incorporate into their apps important engagement attributes that this study examines (i.e., vividness, novelty, motivation, control, customization, feedback, and multiplatforming) and frequently employ entertainment features. In addition, this study shows the extent to which branded apps employ transformational and informational message strategies. Last, branded apps feature a variety of brand-related content, including brand identifiers and virtual products. Practical implications of this study are discussed for mobile advertisers and branded app designers.

To App or Not to App: Engaging Consumers via Branded Mobile Apps

The Effectiveness of Branded Mobile Phone Apps

Using the P3a to gauge automatic attention to interactive television advertising

Ad-sponsored online video programs currently use a range of commercial loading that varies from exactly the same, compared with broadcast and cable networks, to very much lower. This paper provides empirical evidence about the effects of different levels of commercial loading in online video on perceptions of ad intrusiveness and ad effectiveness, and uses skin conductance to directly observe the potentially enhancing effects of commercial disruption on arousal during the program. The results show that one ad per break maximizes both this disruptive effect and ad recall. As predicted by Nelson, Meyvis, and Galak (2009), popular prime-time television shows do not evoke a decrease in arousal over time and are not enhanced by commercial disruption.

Getting the Balance Right

Using Internet Behavior to Deliver Relevant Television Commercials

This paper is the first step to an understanding of how engagement with interactive television advertisements may increase the relevancy of a brand and therefore facilitate the automatic processing of the brand's logo (measured via the P3a) after viewing the advertisement, compared to non-interactive television ads. Event-related potentials (ERPs) and attitudes were measured in response to advertisement-specific brands. ERP latencies and self-report measures were analysed with mixed design analysis of variance. P3a latency decreased for the brands associated with the longer interactive ads, but remained stable for the brands associated with the normal ads and increased for the control brands. This indicates that automatic attention was greater for those brands which were associated with the longer Dedicated Advertiser Location (DAL) interactive ads in the ad reel. The findings of this analysis suggest that brands associated with interactive ads do have more attention automatically allocated to them.

Shiree Treleaven-Hassard

Papers

The Effectiveness of Branded Mobile Phone Apps

Using the P3a to gauge automatic attention to interactive television advertising

Getting the Balance Right

Using Internet Behavior to Deliver Relevant Television Commercials

Using the P3a to gauge automatic attention to interactive television advertising