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The purpose of this paper seeks to develop a motivation-based complementary framework for temporally dynamic user preferences to facilitate optimal timing in web personalisation. It also aims to highlight the benefits of considering user motivation when addressing issues in temporal dynamics.

Through theory, a complementary framework and propositions for motivation-based temporal dynamics for further testing are created. The framework is validated by feeding back findings, whereas some of the propositions are validated through an experiment.

The suggested framework distinguishes two ways (identifying/learning and shifting) of using a motive-based approach to temporal dynamics in web personalisation. The suggested outcomes include enhanced timing in matching current preferences and improved conversion. Validation measures predominantly support both the framework and the tested propositions. The theoretical basis for the approach paves a path towards refined psychological user models; however, currently on a complementary level.

While the framework is validated through feeding back findings, and some of the propositions are validated through basic experimentation, further empirical testing is required.

A generalised approach for complementing personalisation procedures with motivation-based temporal dynamics is offered, with implications for both user modelling and preference matching.

This paper offers novel insights to web personalisation by considering the in-depth effects of user motivation.

WeChat is the largest acquaintance social networking platform in China, in which users can view and reshare web pages shared by friends. This paper aims to analyze the spatio-temporal dynamics of web pages diffused in WeChat and advice on commercials.

A large number of web pages diffused in WeChat are collected and exclusively divided into four categories according to their titles, including advertisements, news bulletins, holiday greetings and emotional essays. For each web page, an information cascade (tree structure) is constructed to describe the diffusion trace. Based on the categories, the spatio-temporal popularity is characterized; the topological, temporal and spatial properties are examined; and the spatio-temporal diffusion velocity is explored.

Through comparative analysis, different categories of pages show diversity. For spatio-temporal popularity, there is no significant difference in cascade size; holiday greetings usually last for a relatively short time on average; emotional essays are more likely to spread to more provinces. For topological, temporal and spatial characteristics, the diffusion process of advertisements is more likely to be broadcasting than other categories; news bulletins and holiday greetings have an obvious bursty; the number of viewing behavior decreases from east to west in general. For spatio-temporal diffusion velocity, emotional essays diffuse the fastest in topological and spatio-temporal dimensions.

These findings contribute to promoting products and providing support for data driven modeling of information diffusion and human activity in spatio-temporal dimensions.

Purpose: This chapter examines how healthcare technologies (electronic medical records, personal cell phones, and pagers) help manage patient care work to accelerate processes of communication and blur boundaries between work time and non-work time, thereby revealing dynamics of power as indicated through temporal capital, or the amount of time under an individual’s control.

Method: The data were collected from 35 in-depth semistructured interviews of health practitioners, which included 26 physicians, 7 nurses, and 2 administrators.

Findings: Communication technologies fulfill promises of temporal autonomy and efficiency, but not without cost, particularly as it intersects with organizational/institutional power structures and non-work-related social factors such as pre-existing technological literacy and proficiency. The blurring of work and non-work time gives practitioners perceived higher quality of life while also increasing temporal flexibility and autonomy. The higher up one is in the relevant hierarchy, the more control one has over one’s own time, resulting in higher levels of temporal capital. The power hierarchies serve to complicate the potential recuperation of temporal capital by communication technologies.

Implications: This study uses a critical cultural perspective that takes into consideration structures of institutional power hierarches impact temporal organization through the use of communication technologies by health practitioners. Practitioner-facing research is particularly crucial given the high rates of burnout within the profession and concerns around the well-being of health practitioners, and autonomy and control over one’s time is a factor in work and life satisfaction.

Owing to highly volatile and chaotic external events, predicting future movements of cryptocurrencies is a challenging task. This paper advances a granular hybrid predictive modeling framework for predicting the future figures of Bitcoin (BTC), Litecoin (LTC), Ethereum (ETH), Stellar (XLM) and Tether (USDT) during normal and pandemic regimes.

Initially, the major temporal characteristics of the price series are examined. In the second stage, ensemble empirical mode decomposition (EEMD) and maximal overlap discrete wavelet transformation (MODWT) are used to decompose the original time series into two distinct sets of granular subseries. In the third stage, long- and short-term memory network (LSTM) and extreme gradient boosting (XGB) are applied to the decomposed subseries to estimate the initial forecasts. Lastly, sequential quadratic programming (SQP) is used to fetch the forecast by combining the initial forecasts.

Rigorous performance assessment and the outcome of the Diebold-Mariano’s pairwise statistical test demonstrate the efficacy of the suggested predictive framework. The framework yields commendable predictive performance during the COVID-19 pandemic timeline explicitly as well. Future trends of BTC and ETH are found to be relatively easier to predict, while USDT is relatively difficult to predict.

The robustness of the proposed framework can be leveraged for practical trading and managing investment in crypto market. Empirical properties of the temporal dynamics of chosen cryptocurrencies provide deeper insights.

In this chapter, the author draws on a historical case study of the Australian wine industry to explore variations in collective agency. The inductively derived process model illustrates the emergence of a new profession of scientific winemaking, which unfolds in three phases. Each phase is characterized by a distinct form of agency: distributed agency during the earliest phase, coordinated agency during later phases, and orchestrated agency during consolidation. In addition to exploring the temporal shifts in agency, the study includes a detailed analysis of the early stages of distributed agency, examining how collective agency is achieved in the absence of shared intentions.

Within New Zealand, cultural festivals play a vital role in the local representation of diasporic cultures. By analysing the production design of festivals, in Auckland, New Zealand representing Indian culture between 1995 and 2015, the purpose of this paper is to create a deeper understanding of collaborative networks and power relationships. Using Richard’s pulsar/iterative network theory and Booth’s notion of cultural production networks, a new theoretical model is proposed to visually track the collaborative networks that sustain and bridge cultures, empower communities and fulfil political agendas.

This ethnographic research draws upon event management studies, industry practice, ethnomusicology and sociology to take a multi-disciplinary approach to an applied research project. Using Richards’ pulsar and iterative event framework Castells’ network theory, combined with qualitative data, this research considers critical collaborative relationships clusters and how they might impact on the temporal nature of festivals.

The 1997 Festival of Asia and the subsequent Lantern Festival in 2000 and Diwali: Festival of Lights in 2002 were pulsar events that played a significant role in collaborative networks that expand across cultures, countries and traditions. The subsequent iterative events have played a vital role in the representation of Asian cultural identity in general and, more specifically, representing of the city’s growing – in both size and cultural diversity – Indian diaspora.

This research proposes a new conceptual model on festival management and diasporic communities in the Asia-Pacific region. Richards’ and Booth’s conceptual models are used, as a starting point, to offer a new way of considering the importance of looking at collaborative relationships through historical perspectives. The framework explored contributes a new approach to cultural festival network theory and a means to understand the complexity of networks required that engage actors from inside and outside both local and global communities.

A detailed conceptualization of how service experiences are transformed into a memory and the circumstances surrounding a memorable experience is not available in the customer experience literature. This paper aims to address this gap using a multi-dimensional framework (memoryscape) to explain memory processes for service experiences.

The paper integrates psychology research, and particularly autobiographical memory, within customer experience management.

The paper proposes a comprehensive, multi-dimensional framework (memoryscape) of memory and highlights managerial implications.

Marketers have yet to fully understand the role of memory in service experience consumption. In today’s service-dominant economy, understanding more about the memoryscape should be a managerial and research priority.

The authors present four managerial priorities for managing customer experience memories.

The authors assimilate theories and empirical research in psychology, particularly autobiographical memory, to propose an integrated conceptual framework of the service memory process (memoryscape), to provide insights for managers looking to create memorable customer experiences.

Bitcoin is difficult to categorize and indeed has been associated with 112 different labels in the British media (e.g., “private money,” “commodity”) – most of which poorly describe bitcoin. Specifically, our analyses of 674 media articles, focusing on the relationship between labeling and categorization, identify classification inconsistencies at three levels: within clusters of labels, between labels and categories, and between category attributes. These inconsistencies hamper categorization based on attribute similarity, audience goals, and causal models, respectively. We identify four factors that nurture this categorical anarchy and conclude with a call for research on the socioeconomic revolution heralded by blockchain technology.