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The purpose of this paper is to lay out the conceptual issues arising alongside the rise of sensory technologies in workplaces designed to improve wellness and productivity.

This is a text based conceptual paper. The authors’ approach is to throw light on some of the emerging issues with the introduction of wearable self-tracking technologies in workplaces.

The paper indicates that scholars will need to put ethical issues at the heart of research on sensory tracking technologies in workplaces that aim to regulate employee behaviour via wellness initiatives.

The study explores the legal issues around data protection and potential work intensification.

Privacy and personal data protection, workplace discipline are discuss in this paper.

This is an original paper. Since there is very little scholarly research in this area, it is important to begin to consider the implications of sensory technology in workplaces linked to wellness initiatives, given the probable impact it will have on work design and appraisal systems.

Looking at the limits of artificial intelligence (AI) and controlling based on complexity and system-theoretical deliberations, the authors aimed to derive a future outlook of the possible applications and provide insights into a future complementary of human–machine information processing. Derived from these examples, the authors propose a research agenda in five areas to further the field.

This article is conceptual in its nature, yet a theoretically informed semi-systematic literature review from various disciplines together with empirically validated future research questions provides the background of the overall narration.

AI is found to be severely limited in its application to controlling and is discussed from the perspectives of complexity and cybernetics. A total of three such limits, namely the Bremermann limit, the problems with a partial detectability and controllability of complex systems and the inherent biases in the complementarity of human and machine information processing, are presented as salient and representative examples. The authors then go on and carefully illustrate how a human–machine collaboration could look like depending on the specifics of the task and the environment. With this, the authors propose different angles on future research that could revolutionise the application of AI in accounting leadership.

Future research on the value promises of AI in controlling needs to take into account physical and computational effects and may embrace a complexity lens.

AI may have severe limits in its application for accounting and controlling because of the vast amount of information in complex systems.

The research agenda consists of five areas that are derived from the previous discussion. These areas are as follows: organisational transformation, human–machine collaboration, regulation, technological innovation and ethical considerations. For each of these areas, the research questions, potential theoretical underpinnings as well as methodological considerations are provided.

Algorithms are widely used to manage various activities in the gig economy. Online car-hailing platforms, such as Uber and Lyft, are exemplary embodiments of such algorithmic management, where drivers are managed by algorithms for task allocation, work monitoring and performance evaluation. Despite employing substantially, the platforms face the challenge of maintaining and fostering drivers' work engagement. Thus, this study aims to examine how the algorithmic management of online car-hailing platforms affects drivers' work engagement.

Drawing on the transactional theory of stress, the authors examined the effects of algorithmic monitoring and fairness on online car-hailing drivers' work engagement and revealed the mediation effects of challenge-hindrance appraisals. Based on survey data collected from 364 drivers, the authors' hypotheses were examined using partial least squares structural equation modeling (PLS-SEM). The authors also applied path comparison analyses to further compare the effects of algorithmic monitoring and fairness on the two types of appraisals.

This study finds that online car-hailing drivers' challenge-hindrance appraisals mediate the relationship between algorithmic management characteristics and work engagement. Algorithmic monitoring positively affects both challenge and hindrance appraisals in online car-hailing drivers. However, algorithmic fairness promotes challenge appraisal and reduces hindrance appraisal. Consequently, challenge and hindrance appraisals lead to higher and lower work engagement, respectively. Further, the additional path comparison analysis showed that the hindering effect of algorithmic monitoring exceeds its challenging effect, and the challenge-promoting effect of algorithmic fairness is greater than the algorithm's hindrance-reducing effect.

This paper reveals the underlying mechanisms concerning how algorithmic monitoring and fairness affect online car-hailing drivers' work engagement and fills the gap in the research on algorithmic management in the context of online car-hailing platforms. The authors' findings also provide practical guidance for online car-hailing platforms on how to improve the platforms' algorithmic management systems.

Interactive storytelling can be based either on explicit plot representations or on the autonomous behaviour of artificial characters. In such a character‐based approach, the dynamic interaction between characters generates the actual plot from a generic storyline. Characters’ behaviours are implemented through real‐time search‐based planning techniques. However, the top‐down planning systems that control artificial actors need to be complemented with appropriate mechanisms dealing with emerging (“bottom‐up”) situations of narrative relevance. After discussing the determinants that account for the emergence of narrative situations, we introduce additional mechanisms for coping with these situations. These comprise situated reasoning and action repair: we also illustrate the concepts through detailed examples.

This study aims to describe reference service activity within a learning commons at a large research university. The researchers tested several reference models in order to explore new ways of providing research support to their patrons within the electronic library. The aim was to discover student responses to different models and to investigate patron need of, and desire for, research support at the learning commons.

The researchers combined measurements of type and frequency of reference traffic both in person and through their online chat reference service. They also gathered quantitative and qualitative information during the reference model experiments and through a survey of patrons in order to discover patron use of, and thoughts concerning, reference service in the electronic library.

Results from reference model experiments and a survey of patrons show that there is indeed an audience for research assistance in the electronic library and that in‐person research support is the preferred method of service. To keep pace with student needs, the researchers will continue to experiment with reference models that support in‐person research assistance beyond the traditional reference desk.

The researchers provide examples and guidelines for introducing new reference services in a learning commons environment and suggest ideas for further experimentation with reference models in a predominantly electronic environment.

The results of this study will be of interest to academic librarians, especially those who have or are planning a learning commons. This research is also of interest to those studying student research behavior and attitudes towards library collections and services. Because this learning commons is a unique environment as a stand‐alone electronic library, computing, and classroom space, this study makes an original contribution to the literature. As planners of learning commons explore models that move away from the traditional library, this study will inform the possible implications of new designs for reference service.

The paper seeks to evaluate and present the usability of one pattern customising technology in the achievement and testing of garment fit.

This study focuses on the use of 3D technology in the testing of garment fit. It examines the usability of one pattern customising technology in the achievement and testing of fit and presents primary data from experiments on the provision and testing of garment fit of specified size patterns for a jacket and skirt. Findings on virtual and human fit trials and an evaluation of the 3D technology are presented.

The study found that 3D software for fit provision and testing is still in its infancy, although advancements are currently being made in this area. It establishes that while fit can be virtually tested with 3D technology, its usability is not yet fine‐tuned. It evaluates procedures and presents problematic features of the 3D software. It underscores that although some issues concerning efficient provision and testing of fit still exist, 3D technology overall provides adequate evaluation of fit.

This study highlights areas for fine tuning and provides a basis for further research. While discussing usability of one pattern technology, this paper presents a platform for comparative evaluation of other technology.

This paper asks how the introduction of “smart” digital technologies might affect the goals that can be attributed to telecare for older people, by those coordinating its provision.

A total of 29 in-depth, qualitative interviews were conducted with local authorities, housing associations and other organisations coordinating smart telecare provision, as well as telecare manufacturers and suppliers. Interviews were analysed by using qualitative thematic analysis.

The analysis reveals discrepancies between the goals and outcomes of smart telecare provision, according to those coordinating service delivery. This study concludes that the goal for smart telecare to be preventative and cost-efficient may be complicated by various organisational and operational challenges associated with coordinating provision.

New, “smart” telecare technology for older people stands apart from earlier, user-activated or automatic devices. It may have distinct and under-researched organisational and ethical implications.

It has often been said that a great part of the strength of Aslib lies in the fact that it brings together those whose experience has been gained in many widely differing fields but who have a common interest in the means by which information may be collected and disseminated to the greatest advantage. Lists of its members have, therefore, a more than ordinary value since they present, in miniature, a cross‐section of institutions and individuals who share this special interest.

The paper considers the kinds of treatment available for people with learning disabilities and challenging behaviour. It draws on research data on the use of reactive strategies and behaviour plans for 235 children and adults rated by carers as extremely challenging, and 276 rated as very challenging, to identify any trends in the management and treatment of challenging behaviour. It finds an increase in written plans for adults but not for children, and no information on the extent to which plans are based on sound functional analyses and contain proactive as well as reactive strategies. Only half the plans were said to have been drawn up with any support from behavioural specialists, and there was no discernible change in the use of reactive strategies.

The purpose of this paper is to develop a luxury brand management (LBM) framework that accounts for the changing luxury environment (i.e. heterogeneous consumer populations, operations within markets of varying maturity, need for seamless customer experiences, and Omni-channel retailing). Framework set within this new luxury business environment and environmental phenomena unique to the fashion industry (i.e. fashion adoption, zeitgeist).

Case study of leading luxury conglomerate, Louis Vuitton Möet Hennessy (LVMH), combined with in-depth historical review of luxury industry. Primary and secondary data sources yielded thick descriptions of brands in LVMH portfolio and larger luxury industry, in which conglomerate is the predominant organizational structure. Content analysis of data-tracked relationships and emergent patterns. Recontextualization techniques were employed to identify key dimensions of brand management operations for sample company and further explicated indicators, sub-variables, and measurements. Macro and micro dimensions were combined for the final framework.

Findings revealed a LBM framework with specific dimensions at the micro or company level that are combined with variables and indicators in the macro-business environment. Strategic management response was also identified as a tool companies can use to synthesize brand management strategies throughout company and remain adaptive to environment.

Contributes to company-based luxury research. Holistic findings; framework was constructed from the micro-company level within a macro-environmental context, increasing its relevancy for firms. Potential to be employed in strategic brand management decisions of luxury companies, regardless of their corporate structure, size, or age.