The delayed delivery, poor fitting and discomfort of customised orthoses are reported in rehabilitation clinics as resulting in more invasive interventions. The current practice of orthosis customisation relies heavily upon the experience and fabrication processes of therapists. In order to better understand the current practice, and thus identify data that is required for better comfort moving towards a data-driven customisation, this article describes a study generating working models of therapists. Customisations of hand and wrist orthoses for 18 patients were observed. Verbal protocol analysis was employed to extend the current understanding of fabrication processes. Working models of four therapists were established with quantitative evaluation on major phases, interactive activities and iterations of performing tasks during fabrication, revealing different working models between in- and out-patient departments (e.g. fabrication for in-patients was more complex and focussed on ergonomic fitting whereas fabrication for out-patients paid attention to durability) which were qualitatively explained. Practitioner summary: Fit and comfort are imperative for orthosis design and fabrication, however the current practice of customisation of an orthosis relies upon the experience of individual hand therapist. The article presents working models of hand therapists, and relevant data that would enable customisation of orthosis for better fit. Abbreviations: VPA: verbal protocol analysis; h&w: hand and wrist; LTT: low temperature thermoplastic; ANOVA: analysis of variance. 

BACKGROUND: the prevalence of workplace-related stress and anxiety is high, resulting in stress-related physical and mental illness. Digital self-guided interventions aimed at key areas of workplace design may be able to provide remote anxiolytic effects. OBJECTIVE: the aim of this feasibility study is to assess changes in anxiety and mental wellbeing after use of the BioBase programme, a mobile phone platform for psycho-educational modules, tools and real-time feedback of physiological data. METHODS: a four-week observational study was carried out in 55 healthy adults who were screened for stress with the Depression Anxiety Stress Scales (DASS) Stress subscale. Participants completed anxiety (6-item State-Trait Anxiety Inventory; STAI) and mental wellbeing (Warwick-Edinburgh Mental Wellbeing Scale; WEMWBS) questionnaires at baseline and at 4 weeks. Feedback questionnaires were administered after 4 weeks. RESULTS: After 4 weeks of using the programme and controlling for any effect of being paid to take part in the study, STAI significantly decreased (baseline mean= 45.52 ± 13.2, 4-weeks mean: 39.82 ± 11.2, t54 = -3.51, P < 0.001, CI: -8.88 - -2.52, Cohen's d = 0.96) and WEMWBS significantly increased (baseline mean = 48.12 ± 6.4, 4-weeks mean: 50.4 ± 6.9, t53 = 2.41, p = 0.019, CI: 0.44-4.23, Cohen's d = 0.66). Further, higher baseline stress was significantly associated with a greater decrease in STAI (t53 = -3.41, P = 0.001, CI: -8.10- -2.10, R2 = 0.180) and a greater increase in WEMWBS (t52 = 2.41, P = 0.019, CI: 0.38 - 4.11, R2 = 0.101). On feedback, participants found the programme easy to use navigate, with the content being acceptable and relevant to workplace-related stressors. 70% of participants would recommend the programme to a friend. CONCLUSIONS: the BioBase programme is a potentially effective intervention in decreasing anxiety and increasing mental wellbeing, with larger changes in those with higher baseline levels of stress. CLINICALTRIAL:  

BACKGROUND: University students in the United Kingdom are experiencing increasing levels of anxiety. A program designed to increase awareness of one's present levels of well-being and suggest personalized health behaviors may reduce anxiety and improve mental well-being in students. The efficacy of a digital version of such a program, providing biofeedback and therapeutic content based on personalized well-being metrics, is reported here. OBJECTIVE: the aim of this study was to test the efficacy and sustained effects of using a mobile app (BioBase) and paired wearable device (BioBeam), compared with a waitlist control group, on anxiety and well-being in university students with elevated levels of anxiety and stress. METHODS: the study employed a randomized, waitlist-controlled trial with assessments at baseline, 2 weeks, postintervention (4 weeks), and follow-up (6 weeks). Participants were eligible if they were current full-time undergraduate students and (1) at least 18 years of age, (2) scored >14 points on the Depression, Anxiety, and Stress Scale-21 items (DASS-21) stress subscale or >7 points on the DASS-21 anxiety subscale, (3) owned an iOS mobile phone, (4) did not have any previous psychiatric or neurological conditions, (6) were not pregnant at the time of testing, and (7) were able to read and understand English. Participants were encouraged to use BioBase daily and complete at least one course of therapeutic content. A P value ≤.05 was considered statistically significant. RESULTS: We found that a 4-week intervention with the BioBase program significantly reduced anxiety and increased perceived well-being, with sustained effects at a 2-week follow-up. Furthermore, a significant reduction in depression levels was found following the 4-week usage of BioBase. CONCLUSIONS: This study shows the efficacy of a biofeedback digital intervention in reducing self-reported anxiety and increasing perceived well-being in UK university students. Results suggest that digital mental health interventions could constitute a novel approach to treat stress and anxiety in students, which could be combined or integrated with existing therapeutic pathways. TRIAL REGISTRATION: Open Science Framework (OSF.io) 2zd45; https://osf.io/2zd45/. 

© 2019 the Authors Distributed Ledger Technology (DLT), such as blockchain, has the potential to transform supply chains. It can provide a cryptographically secure and immutable record of transactions and associated metadata (origin, contracts, process steps, environmental variations, microbial records, etc.) linked across whole supply chains. The ability to trace food items within and along a supply chain is legally required by all actors within the chain. It is critical to food safety, underpins trust and global food trade. However, current food traceability systems are not linked between all actors within the supply chain. Key metadata on the age and process history of a food is rarely transferred when a product is bought and sold through multiple steps within the chain. Herein, we examine the potential of massively scalable DLT to securely link the entire food supply chain, from producer to end user. Under such a paradigm, should a food safety or quality issue ever arise, authorized end users could instantly and accurately trace the origin and history of any particular food item. This novel and unparalleled technology could help underpin trust for the safety of all food, a critical component of global food security. In this paper, we investigate the (i) data requirements to develop DLT technology across whole supply chains, (ii) key challenges and barriers to optimizing the complete system, and (iii) potential impacts on production efficiency, legal compliance, access to global food markets and the safety of food. Our conclusion is that while DLT has the potential to transform food systems, this can only be fully realized through the global development and agreement on suitable data standards and governance. In addition, key technical issues need to be resolved including challenges with DLT scalability, privacy and data architectures. 

There is a growing focus on achieving ‘openness’ in the design and transformation of organizations, in which the enabling role of ICTs is considered increasingly central. However, bureaucratic organizations with rigid structures continue to face significant challenges in moving towards more open forms of organizing. In this paper, we contribute to our understanding of these challenges by building on existing conceptualizations of openness as a form of boundary work that transforms by challenging both internal and external organizational boundaries. In particular, we draw on a performative view derived from actor-network theory to analyze a case study of ICT-based administrative reforms in a judicial system. Building on our case analysis, we develop a typology of the various roles that ICTs can play in both enabling and constraining ongoing boundary work within the context of their implementation. We thus present a view of ICT-enabled open organizing as a process where ICTs contribute to problematizing, shifting, and augmenting ongoing boundary work. This view highlights the inherently equivocal nature of the role of ICTs in transformations towards higher levels of openness. 

© 2019 Elsevier Inc. Departing from established research on entrepreneurship, design-based entrepreneurship places an explicit emphasis on the entrepreneurial process as evolutionary and emergent in which knowledge and understanding of an opportunity are acquired incrementally by means of design and evaluation of alternative solutions. This paper develops a use case of BioBeats Ltd. a UK-based university spin-off which has successfully managed to turn an opportunity in digital health into a commercially viable enterprise. Adopting a design-based paradigm, the company under study started by building a technical solution informed by a set of design principles which subsequently allowed the company to convert the socio-technical nature of the opportunity into technological artefacts that were further refined and tested by means of real-world experiments with third parties and citizens. 

In recent years, measures of cardiac interoceptive accuracy have been heavily scrutinised. The focus has been on potentially confounding physiological and psychological factors; little research has examined whether the device used to record objective heartbeats may influence cardiac interoceptive accuracy. The present studies assessed whether the device employed influences heartbeat counting (HCT) accuracy and the location from which heartbeats are perceived. In Study One, participants completed the HCT using a hard-clip finger pulse oximeter, electrocardiogram (ECG) and a smartphone application. In Study Two, an ECG, hard-clip and soft-clip oximeter were compared. Moderate-strong correlations were observed across devices, however, mean HCT accuracy and confidence varied as a function of device. Increased sensation in the finger when using a hard-clip pulse oximeter was related to increased accuracy relative to ECG. Results suggest that the device employed can influence HCT performance, and argue against comparing, or combining, scores obtained using different devices. 

BACKGROUND: the speed of physiological recovery from stress may be a marker for cardiovascular disease risk. Stress management programs that incorporate guided breathing have been shown to moderate the stress response and augment recovery. OBJECTIVE: the aim of this study was to examine the effectiveness of an app-based brief relaxation intervention (BioBase) for facilitating physiological recovery in individuals exposed to a brief psychological stressor. METHODS: a total of 75 participants (44 women) completed a stressor speech task and were randomly assigned to one of three conditions: control, rumination, or an app-based relaxation breathing (BioBase) conditions. Heart rate variability (HRV) was assessed as a measure of autonomic function at baseline (6 min), during stress (6 min), and during recovery (6 min). RESULTS: There was a significant increase in subjective stress following stress exposure, but the ratings returned to baseline after recovery in all three groups. In addition, there was a significant decrease in vagally mediated HRV in the poststress period. During recovery, the root mean square of successive differences (P50 ms (pNN50; P 

The user experience of a product is recognized as having an increasing importance in particular in consumer products. Current approaches to designing user experiences are not easily translated to languages that a computer can understand. This paper examines a particular aspect of user experience, namely perception of the aesthetics of a product, to formalize this to rules, which are embedded into a tool to generate design. Investigating the perception of consumers is key to designing for their aesthetic preferences. Previous research has shown that consumers and designers often perceive the same products differently. This paper aims to embed rules on perception into a tool to support designers during design synthesis. Aesthetic design rules connecting perceptions with aesthetic features were integrated into a set grammar and a parametric modeling tool, and applied to the particular case of vases. The generated tool targeted the creation of vases with the perception of beautiful, elegant, and exciting. Results show that it is possible to generate beautiful, elegant, and exciting vases following the three aesthetic design rules, i.e. tall, simple, and curvy. The main contribution of this paper is the method used to incorporate information on perception into the set grammar and the parametric model. The tool is additionally proposed for supporting designers during design synthesis of shapes. The results are valid for vases but the method can be applied to other perceptions and product categories. 

Wearable physiological monitors are becoming increasingly commonplace in the consumer domain, but in literature there exists no substantive studies of their performance when measuring the physiology of ambulatory patients. In this Letter, the authors investigate the reliability of the heart-rate (HR) sensor in an exemplar 'wearable' wrist-worn monitoring system (the Microsoft Band 2); their experiments quantify the propagation of error from (i) the photoplethysmogram (PPG) acquired by pulse oximetry, to (ii) estimation of HR, and (iii) subsequent calculation of HR variability (HRV) features. Their experiments confirm that motion artefacts account for the majority of this error, and show that the unreliable portions of HR data can be removed, using the accelerometer sensor from the wearable device. The experiments further show that acquired signals contain noise with substantial energy in the high-frequency band, and that this contributes to subsequent variability in standard HRV features often used in clinical practice. The authors finally show that the conventional use of long-duration windows of data is not needed to perform accurate estimation of time-domain HRV features. 

© 2017 Elsevier Inc. The concept of “Government as a Platform” (GaaP) (O'Reilly, 2009) is coined frequently, but interpreted inconsistently: views of GaaP as being solely about technology and the building of technical components ignore GaaP's radical and disruptive embrace of a new economic and organisational model with the potential to improve the way Government operates – helping resolve the binary political debate about centralised versus localised models of public service delivery. We offer a structured approach to the application of the platforms that underpin GaaP, encompassing not only their technical architecture, but also the other essential aspects of market dynamics and organisational form. Based on a review of information systems platforms literature, we develop a Platform Appraisal Framework (PAF) incorporating the various dimensions that characterise business models based on digital platforms. We propose this PAF as a general contribution to the strategy and audit of platform initiatives and more specifically as an assessment framework to provide consistency of thinking in GaaP initiatives. We demonstrate the utility of our PAF by applying it to UK Government platform initiatives over two distinct periods, 1999–2010 and 2010 to the present day, drawing practical conclusions concerning implementation of platforms within the unique and complex environment of the public sector. 

© 2017 the Authors Big data has been considered to be a breakthrough technological development over recent years. Notwithstanding, we have as yet limited understanding of how organizations translate its potential into actual social and economic value. We conduct an in-depth systematic review of IS literature on the topic and identify six debates central to how organizations realize value from big data, at different levels of analysis. Based on this review, we identify two socio-technical features of big data that influence value realization: portability and interconnectivity. We argue that, in practice, organizations need to continuously realign work practices, organizational models, and stakeholder interests in order to reap the benefits from big data. We synthesize the findings by means of an integrated model. 

© 2017 John Wiley. &. Sons, Ltd. Distributed ledger technologies (DLTs) are rewriting conventional notions of business transacting, creating fresh opportunities for value creation and capture. Using qualitative interview data as a primary resource, the proposed five-point model synthesizes these possibilities, demonstrating how they may lead to “disruptive innovation.” a further conceptual model is subsequently provided with a view to assisting future problem solving in the area. 

The objective of this study was to examine the association between perseverative cognition in the form of work-related rumination, and heart rate variability (HRV). We tested the hypothesis that high ruminators would show lower vagally mediated HRV relative to low ruminators during their leisure time. Individuals were classified as being low (n = 17) or high ruminators (n = 19), using the affective scale on the work-related rumination measure. HRV was assessed using a wrist sensor band (Microsoft Band 2). HRV was sampled between 8 pm and 10 pm over three workday evenings (Monday to Wednesday) while individuals carried out their normal evening routines. Compared to the low ruminators, high affective ruminators demonstrated lower HRV in the form of root mean square successive differences (RMSSDs), relative to the low ruminators, indicating lower parasympathetic activity. There was no significant difference in heart rate, or activity levels between the two groups during the recording periods. The current findings of this study may have implications for the design and delivery of interventions to help individuals unwind post work and to manage stress more effectively. Limitations and implications for future research are discussed. 

© 2017 John Wiley. &. Sons, Ltd. Blockchain technology provides an exciting application space for innovation in diverse domains but threatens disintermediation for organizations providing a trusted and auditable account of ownership and transactions. It needs, however, an appropriate regulation to keep pace with technological developments. Technology remains very young, akin to the Internet in the early 1990s. Use cases, practical demonstrators, standards, and lexical consistency are urgently required. 

© 2016, © Authors. Published by Emerald Group Publishing Limited. This work is published under the Creative Commons Attribution (CC BY 3.0) Licence Purpose – Improvement of reverse supply chains requires accurate and timely information about the patterns of consumption. In the consumer context, the ways to generate and access such use-visibility data are in their infancy. The purpose of this study is to demonstrate how the Internet of Things (IoT) may be operationalised in the domestic setting to capture data on a consumer’s use of products and the implications for reverse supply chains. Design/methodology/approach – This study uses an explorative case approach drawing on data from studies of six UK households. “Horizontal” data, which reveals patterns in consumers’ use processes, is generated by combining “vertical” data from multiple sources. Use processes in the homes are mapped using IDEF0 and illustrated with the data. The quantitative data are generated using wireless sensors in the home, and qualitative data are drawn from online calendars, social media, interviews and ethnography. Findings – the study proposes four generic measurement categories for operationalising the concept of use-visibility: experience, consumption, interaction and depletion, which together address the use of different household resources. The explorative case demonstrates how these measures can be operationalised to achieve visibility of the context of use in the home. The potential of such use-visibility for reverse supply chains is discussed. Research limitations/implications – This explorative case study is based on an in-depth study of the bathroom which illustrates the application of use-visibility measures (UVMs) but provides a limited use context. Further research is needed from a wider set of homes and a wider set of use processes and contexts. Practical implications – the case demonstrates the operationalisation of the combination of data from different sources and helps answer questions of “why?”, “how?”, “when?” and “how much?”, which can inform reverse supply chains. The four UVMs can be operationalised in a way that can contribute to supply chain visibility, providing accurate and timely information of consumption, optimising resource use and eliminating waste. Originality/value – IDEF0 framework and case analysis is used to identify and validate four UVMs available through IoT data – that of experience, consumption, interaction and depletion. The UVMs characterise IoT data generated from a given process and inform the primary reverse flow in the future supply chain. They provide the basis for future data collection and development of theory around their effect on reverse supply chain efficiency. 

© Emerald Group Publishing Limited. Purpose – the purpose of this paper is to explore how financial services (FS) organizations manage the customer experience. It aims to establish what practices are used, to articulate the role of the FS context in influencing the choice of practices, and to identify how these practices support experience co-creation from the perspective of the organization. Design/methodology/approach – the authors adopt a multiple case study approach. In total, 23 cases provide a rich understanding of the phenomenon studied which permits grounding the findings on robust data. Findings – the authors identify five practices that are consistently used by FS organizations to manage the customer experience. The findings suggest that four industry-specific characteristics affect the choice of these practices. The results also reveal how these practices support the co-creation of the customer experience. Research limitations/implications – the authors focus on the FS context only, do not examine the impact of the practices on performance, and do not explore experience co-creation from the perspective of the customer. Practical implications – Adopting these practices can facilitate a more co-created customer experience, which in turn can provide FS organizations with a competitive differentiator. Originality/value – the paper advances current knowledge by revealing five customer experience management practices that are specific to the FS context. Moreover, this is one of the first studies to explore experience co-creation from the perspective of the organization and to identify ways in which organizations can support customers in co-creating the experiences. 

This paper explores the process improvement approaches of organisations. It seeks to identify process redesign principles and the combinations of these principles that are used successfully in industry. We use Q-methodology to explore the viewpoints of a range of highly experienced process experts about the success of 16 improvement practices. Q-methodology enables the examination of the similarities and differences in the success of the improvement principles used by organisations in order to inform archetypes of process improvement. Overall, our findings suggest that process improvement is determined through the application of two foundational principles combined with one of four archetypes. Remove non-value-adding tasks and re-sequence tasks are described as foundational principles of process improvement, whilst outsourcing needs to be approached with caution. Furthermore, we articulate four distinctive archetypes comprising unique configurations of improvement principles that can be used to redesign operational processes. Based on this evidence we propose a typology of process improvement. This work suggests that rather than adopting generic improvement frameworks, managers should consult the typology to determine the archetype in closest proximity to their specific requirements. This study has several limitations including the small number of items populating the concourse and the fact that implementation problems are not taken into account. © 2013 Taylor & Francis. 

This article provides insights on how to manage collective innovation in the digital economy, an innovation regime which is riddled with complex regulatory challenges and increasing litigation over intellectual property rights. Private collective organizations face two main challenges: (1) to promote collective innovation while preserving the private interests of the firms within the collective, and (2) to ensure that collective innovation does not weaken healthy competition. Through a case study of the Third Generation Partnership Project (3GPP), an exemplary private collective federation of organizations composed of standardization bodies, industry consortia and technology producers, we identify organizational solutions to these challenges. We find that a combination of specific IP rights instruments is key to manage these trade-offs. We also find that the combined policies of essential patenting, FRAND, and maximum royalty rate help overcome the specific challenges associated with collective innovation within competitive contexts. Finally we discuss the implications of our findings for managers and for policy. © 2014 Elsevier Ltd. 

This article argues that the future of public services will be shaped increasingly by the evolution of global, Internet-enabled, digital platforms, with two distinctive technical and commercial features. First, use of open standards and architectures that separate standard business logic from supporting applications will allow government to become technology- and vendor-agnostic, freeing it from its overdependence on proprietary systems and suppliers. Second, over time, open standards and increased market choice will drive both innovation and progressive convergence on cheaper, standard "utility" public services. These two features will combine to create a powerful dynamic situation, driving disintegration of traditional "black boxed" technologies and services, traditionally organized around "systems integrators" and departmental structures, and their reaggregation around the citizen in the form of services. Such reaggregation is allowing progressively sharp distinctions between niche/innovative and commodity/standard offerings, supplied by a plural, innovative, and more cost-effective marketplace, with unprecedented implications for the way in which the state buys and deploys technology. We draw on a range of data from across public and private sectors to illustrate our argument and identify some key policy and implementation recommendations. © 2013 the Author. Published by Oxford University Press on behalf of the Journal of Public Administration Research and Theory, Inc. All rights reserved. 

The term ‘end-to-end’ process management is now commonplace in the language and practice of operations. Managers are encouraged to migrate from functional process management to end-to-end process management to realise a range of performance improvements. However, these improvements are often elusive; the specific challenges associated with such a migration are under-researched. This paper uses a cross sector study to identify the challenges of end-to-end process management and to generate practical managerial guidance. Three areas are identified which demand particular managerial attention: the need to move beyond process mapping, the role of IT, and maintaining the process infrastructure as a strategic asset. More significantly, the findings highlight the need for greater conceptual clarity regarding the end-to-end concept itself. The existing literature suggests that scope is the primary differentiator of the end-to-end process - the requirement to manage an extended boundary from customer order through to customer fulfilment. However, this research suggests that the end-to-end concept is more complex, comprising of three core constructs with seven dimensions: scope (boundary conditions, sequence/flow and controls); scale (resources and input/output transformation) and complexity (inter-relationships and orientation). End-to-end process management involves much more than an extended boundary. It requires a systemic perspective and clarity regarding controls and transforming resources. 

As video games have grown from crude and simple circuit-based artefacts to a multibillion dollar worldwide industry, video-game music has become increasingly adaptive. Composers have had to use new techniques to avoid the traditional, event-based approach where music is composed mostly of looped audio tracks, which can lead to music that is too repetitive. In addition, these cannot scale well in the design of today's games, which have become increasingly complex and nonlinear in narrative. This paper outlines the use of experience-driven procedural music generation, to outline possible ways forward in the dynamic generation of music and audio according to user gameplay metrics. © 2009-2012 IEEE. 

This article contributes to the emerging discipline of service science through an empirical investigation of value propositions as connections between service systems. The starting point for our research is that service science is an interdisciplinary approach to the study, design and implementation of service systems, a service system being considered a dynamic configuration of resources (people, technology, organisations and shared information) that create and deliver value between the provider and the customer through service (IfM and IBM 2008). Specifically, this article investigates value propositions in the context of equipment-based service systems. Our qualitative findings identify three value proposition cycles: Recovery, Availability and Outcome. In so doing, showing that providers offer three distinct propositions of value with three different primary transformations. This research contributes to theory in service systems by identifying value propositions as multiple, simultaneous and iterative connections between provider and customer systems. © 2012 Copyright Taylor and Francis Group, LLC. 

AbstractDefining the aesthetic and emotional value of a product is an important consideration for its design. Furthermore, if several designers are faced with the task of creating an object that describes a certain emotion/perception (aggressive, soft, heavy, etc.), each is most likely to interpret the emotion/perception with different shapes composed of a set of different geometric features. The authors propose an automatic approach to formalize the relationships between geometric information of three-dimensional objects and the intended emotional content using fuzzy logic. In addition, the automatically generated fuzzy knowledge base was compared to the user's perceptions and to the manually constructed fuzzy knowledge base. The initial findings indicate that the approach is valid to formalize geometric information with perceptions and validate the author's manually developed fuzzy models.