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The purpose of this paper is twofold: first, to clarify what specific behaviors are involved in consumers' partial switching in mobile application (app) usage, and, second, to explore the common and differential motivations of these behaviors.

This paper specified two behaviors in consumers' partial switching in mobile app usage, trialing and combining behaviors, and conceptualized them as different types of variety seeking behaviors. A theoretical model contrasting intrinsic motivations and extrinsic motivations on the two behaviors was developed and tested with a sample of 561 mobile app users in China.

The findings showed that both trialing and combining behaviors could be motivated by intrinsic individual-related and extrinsic technology-related factors. Besides, intrinsic individual-related factors were more effective in motivating trialing behavior, whereas extrinsic technology-related factors were more effective in motivating combining behavior. All these findings are applicable and consistent in both hedonic and utilitarian apps.

This study extends and advances the literature on information technology switching by investigating consumer use behaviors from a new perspective of partial switching and multiple competing apps usage. This study also contributes to variety seeking literature by extending the understanding of variety seeking to the context of mobile app usage. Finally, by investigating the associations and distinctions of trialing and combining behavior, this study not only helps to fully understand the partial switching but also enriches the understanding of different types of variety seeking behaviors.

Government policies in many countries are trying to accelerate conservation of energy as part of wider carbon management or energy security strategies. This paper aims to describe a trial that tested a behaviour change strategy that combined three different influencing components designed to motivate home owners to invest in energy‐saving measures in the UK.

The research design was based on the findings from an earlier phase of the project and was further supported with a comprehensive literature review. Data collection was carried out using survey strategies, interviews and capturing the actions of the participating households. Data analysis was undertaken using descriptive statistical methods and the most appropriate software.

The project results reflected that a combination of information delivered at key moments in the decision‐making process, incentives, and norm‐based influences have the potential to help motivate owners of domestic property to invest in energy‐saving measures. However, this strategy needs to be delivered within the context of affordable materials and installer costs.

The trial was designed to be a limited sample experiment that was commissioned as a proof of concept study. However, policy‐makers may require a larger sample and an extended period before the proposals are rolled out on a national scale.

Although there are many behaviour change studies, there are far fewer on pro‐environmental behaviour in relation to climate change. This study places an emphasis on non‐cash incentives as the central proposition and this cannot be found within the relevant knowledge domain. The trial was also original in the way it incorporated other influencers including norm‐based tactics and facilitation in a combined strategy with incentives.

Applied Behavior Analysis (ABA) is a scientific method for modelling human behavior, successfully applied in the context of Autism. Recording and sharing measurable data (on subjects’ performance) between caregivers guarantees consistency of learning programs and allows monitoring the learning enhancements. Data are usually recorded on paper, which requires considerable effort and is subject to error. The purpose of this paper is to describe a portable application developed to support ABA tutors in their work with autistic subjects. It allows gathering data from ABA sessions, giving tutors rapid access to information, also in graphical formats.

The tool was designed via participatory design. Various ABA team members were involved, in order to make the application respond perfectly to their needs. The approach aims to ensure maximum usability, while minimizing errors and ambient interference.

The use of mobile devices (i.e. tablets or smartphones) allows mobility and ease of interaction, enabling efficient data collection and processing. Data plotting allows one to easily interpret gathered data.

The proposed application, free open source software, can be a valuable aid for supporting the ABA intervention and favor the inclusion of children with autism.

Available software to assist tutors during therapy sessions is often proprietary, and research prototypes are not freely available, so paper forms are still widespread. Besides, without attention to usability requirements, assisting tools would be comparable in efficiency with data insertion on paper. Our software was specifically designed following ABA principles and favors efficient data entry allowing natural interaction with touch screen interfaces: drag and drop, taps and gestures. Furthermore, it is shared in the public domain.

Based on interviews with 27 victims’ family members and survivors, this chapter explores how memory of the Oklahoma City bombing was constructed through participation in groups formed after the bombing and participation in the trials of Timothy McVeigh and Terry Nichols. It first addresses the efficacy of a collective memory perspective. It then describes the mental context in which interviewees joined groups after the bombing, the recovery functions groups played, and their impact on punishment expectations. Next, it discusses a media-initiated involuntary relationship between McVeigh and interviewees. Finally, this chapter examines execution witnesses’ perceptions of communication with McVeigh in his trial and execution.

To evaluate the awareness and behaviours of Malaysian consumers towards sales promotional tools such as, coupons, price discount, free samples, bonus packs, and in‐store display in the purchase of low involvement products.

The paper also recognises that certain demographic factors such as education and income of consumers could potentially confound the observed relationships hence, these factors were controlled. A total of 312 consumers in Kota Kinabalu, Malaysia were surveyed using a structured questionnaire.

The results show that price discounts, free samples, bonus packs, and in‐store display are associated with product trial. Coupons do not have any significant effect on product trial.

Only one category of product was considered. None were high involvement so these need further research.

Greate understanding of how Malaysian customers respond to the various sales promotions therefore increased alitity to pich the appropriate promotional miso.

The level of education appears to have no bearing on consumers’ preferences.

Drawing upon a systematic literature review in new technology, innovation transfer and diffusion theories, and from interviews with technology leaders in digital transformation programs in the US Oil & Gas (O&G) industry, the authors explore the relationships among O&G industry dynamics, organization's absorptive capacity and resource commitment for new digital technology adoption-implementation process.

The authors employed the empirical survey method to gather the data (a sample size of 172) in the US O&G industry and used structural equation modeling (SEM) to test the measurement model for validity and reliability and the conceptual model for hypothesized structural relationships.

The results provide support for the study’s causal model of adoption and implementation with positive and direct relationships between the initiation and trial stages, between the trial stages and the evaluation of effective outcomes and between the effective outcomes and the effective implementation stages of digital technologies. The results also reveal partial mediating relationships of industry dynamics, absorptive capacity and resource commitment between respective stages.

Based on the current study's findings, managers are recommended to pay attention to the evolving industry dynamics during the initiation stage of new digital technology adoption, to utilize the organization's knowledge-based absorptive capacity during digital technology trial and selection stages and to support the digital technology implementation project when the adoption decision of a particular digital technology has been made.

The empirical research contributes literature on digital technology adoption and implementation by identifying and demonstrating the importance of industry dynamics, absorptive capacity and resource commitment factors as mediating variables at various stages of the adoption-implementation process and empirically validating a process-based causal model of digital technology adoption and a successful implementation project that has been missing in the current body of literature on digital transformation.

This paper presents continuous monitoring results of an instrumented embankment behaviour built on compressible soil. In order to better understand of the embankment behaviour and its foundation, geotechnical investigations, measurements of the monitoring data, interstitial overpressure evolution as well as numerical modelling with soft soil model are analysed. The findings highlight various factors resulting in the failure of the infrastructure. The loading program has proven to be incompatible, which subsequently resulted in an excess of pore pressures. The numerical modelling results have illustrated clearly the behaviour of the embankment particularly, the horizontal displacements and the interstitial overpressure.

This study aims to use a sequentially implemented intervention package to reduce the occurrence of perseverative requesting and other problem behavior in a young girl with autism spectrum disorder (ASD).

In this single-case study, subsequent to a functional analysis and a preference assessment, an intervention package consisting of three components (i.e. a tolerance for delay to reinforcement, choice-making and visual schedule) was implemented sequentially to address perseverative requesting and other problem behavior maintained by access to preferred items/activities in a young girl with ASD.

Via the intervention package, the girl demonstrated higher self-control skills (i.e. delaying access to preferred items/activities, choosing more preferred items/activities with delayed access over less preferred ones with immediate access, completing tasks before having access to preferred items/activities) with a reduction of perseverative requesting or other problem behavior.

The current case study presents concrete steps that could be applied to address tangible-maintained perseverative requesting using more natural and educationally relevant signals while improving the child’s appropriate skills (e.g. delay to reinforcement, self-control and task engagement).