City, University of London

BACKGROUND: CONSORT guidelines call for precise reporting of behavior change interventions: we need rigorous methods of characterizing active content of interventions with precision and specificity. OBJECTIVES: The objective of this study is to develop an extensive, consensually agreed hierarchically structured taxonomy of techniques [behavior change techniques (BCTs)] used in behavior change interventions. METHODS: In a Delphi-type exercise, 14 experts rated labels and definitions of 124 BCTs from six published classification systems. Another 18 experts grouped BCTs according to similarity of active ingredients in an open-sort task. Inter-rater agreement amongst six researchers coding 85 intervention descriptions by BCTs was assessed. RESULTS: This resulted in 93 BCTs clustered into 16 groups. Of the 26 BCTs occurring at least five times, 23 had adjusted kappas of 0.60 or above. CONCLUSIONS: "BCT taxonomy v1," an extensive taxonomy of 93 consensually agreed, distinct BCTs, offers a step change as a method for specifying interventions, but we anticipate further development and evaluation based on international, interdisciplinary consensus.

BACKGROUND: It is increasingly acknowledged that 'acceptability' should be considered when designing, evaluating and implementing healthcare interventions. However, the published literature offers little guidance on how to define or assess acceptability. The purpose of this study was to develop a multi-construct theoretical framework of acceptability of healthcare interventions that can be applied to assess prospective (i.e. anticipated) and retrospective (i.e. experienced) acceptability from the perspective of intervention delivers and recipients. METHODS: Two methods were used to select the component constructs of acceptability. 1) An overview of reviews was conducted to identify systematic reviews that claim to define, theorise or measure acceptability of healthcare interventions. 2) Principles of inductive and deductive reasoning were applied to theorise the concept of acceptability and develop a theoretical framework. Steps included (1) defining acceptability; (2) describing its properties and scope and (3) identifying component constructs and empirical indicators. RESULTS: From the 43 reviews included in the overview, none explicitly theorised or defined acceptability. Measures used to assess acceptability focused on behaviour (e.g. dropout rates) (23 reviews), affect (i.e. feelings) (5 reviews), cognition (i.e. perceptions) (7 reviews) or a combination of these (8 reviews). From the methods described above we propose a definition: Acceptability is a multi-faceted construct that reflects the extent to which people delivering or receiving a healthcare intervention consider it to be appropriate, based on anticipated or experienced cognitive and emotional responses to the intervention. The theoretical framework of acceptability (TFA) consists of seven component constructs: affective attitude, burden, perceived effectiveness, ethicality, intervention coherence, opportunity costs, and self-efficacy. CONCLUSION: Despite frequent claims that healthcare interventions have assessed acceptability, it is evident that acceptability research could be more robust. The proposed definition of acceptability and the TFA can inform assessment tools and evaluations of the acceptability of new or existing interventions.

BACKGROUND: Implementing new practices requires changes in the behaviour of relevant actors, and this is facilitated by understanding of the determinants of current and desired behaviours. The Theoretical Domains Framework (TDF) was developed by a collaboration of behavioural scientists and implementation researchers who identified theories relevant to implementation and grouped constructs from these theories into domains. The collaboration aimed to provide a comprehensive, theory-informed approach to identify determinants of behaviour. The first version was published in 2005, and a subsequent version following a validation exercise was published in 2012. This guide offers practical guidance for those who wish to apply the TDF to assess implementation problems and support intervention design. It presents a brief rationale for using a theoretical approach to investigate and address implementation problems, summarises the TDF and its development, and describes how to apply the TDF to achieve implementation objectives. Examples from the implementation research literature are presented to illustrate relevant methods and practical considerations. METHODS: Researchers from Canada, the UK and Australia attended a 3-day meeting in December 2012 to build an international collaboration among researchers and decision-makers interested in the advancing use of the TDF. The participants were experienced in using the TDF to assess implementation problems, design interventions, and/or understand change processes. This guide is an output of the meeting and also draws on the authors' collective experience. Examples from the implementation research literature judged by authors to be representative of specific applications of the TDF are included in this guide. RESULTS: We explain and illustrate methods, with a focus on qualitative approaches, for selecting and specifying target behaviours key to implementation, selecting the study design, deciding the sampling strategy, developing study materials, collecting and analysing data, and reporting findings of TDF-based studies. Areas for development include methods for triangulating data, e.g. from interviews, questionnaires and observation and methods for designing interventions based on TDF-based problem analysis. CONCLUSIONS: We offer this guide to the implementation community to assist in the application of the TDF to achieve implementation objectives. Benefits of using the TDF include the provision of a theoretical basis for implementation studies, good coverage of potential reasons for slow diffusion of evidence into practice and a method for progressing from theory-based investigation to intervention.

Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications.

Natural disasters, labor disputes, terrorism and more mundane risks can seriously disrupt or delay the flow of material, information and cash through an organization's supply chain. The authors assert that how well a company fares against such threats will depend on its level of preparedness, and the type of disruption. Each supply-chain risk to forecasts, information systems, intellectual property, procurement, inventory and capacity has its own drivers and effective mitigation strategies. To avoid lost sales, increased costs or both, managers need to tailor proven risk-reduction strategies to their organizations. Managing supply-chain risk is difficult, however. Dell, Toyota, Motorola and other leading manufacturers excel at identifying and neutralizing supply-chain risks through a delicate balancing act: keeping inventory, capacity and related elements at appropriate levels across the entire supply chain in a rapidly changing environment. Organizations can prepare for or avoid delays by smart sizing their capacity and inventory. The manager serves as a kind of financial portfolio manager, seeking to achieve the highest achievable profits (reward) for varying levels of supply-chain risk. The authors recommend a powerful what if? team exercise called stress testing to identify potentially weak links in the supply chain. Armed with this shared understanding, companies can then select the best mitigation strategy: holding reserves, pooling inventory, using redundant suppliers, balancing capacity and inventory, implementing robust backup and recovery systems, adjusting pricing and incentives, bringing or keeping production in-house, and using Continuous Replenishment Programs (CRP), Collaborative Planning, Forecasting and Replenishment (CPFR) and other supply-chain initiatives.

ABSTRACT The emerging knowledge‐based view of the firm offers new insight into the causes and management of interfirm alliances. However, the development of an effective knowledge‐based theory of alliance formation has been inhibited by a simplistic view of alliances as vehicles for organizational learning in which strategic alliances have presumed to be motivated by firms’ desire to acquire knowledge from one another. We argue that the primary advantage of alliances over both firms and markets is in accessing rather than acquiring knowledge. Building upon the distinction between the knowledge generation (‘exploration’) and knowledge application (‘exploitation’), we show that alliances contribute to the efficiency in the application of knowledge; first, by improving the efficiency with which knowledge is integrated into the production of complex goods and services, and second, by increasing the efficiency with which knowledge is utilized. These static efficiency advantages of alliances are enhanced where there is uncertainty over future knowledge requirements and where new products offer early‐mover advantages. Compared with alternative learning‐based approaches to alliance formation, our proposed knowledge‐accessing theory of alliances offers the advantages of greater theoretical rigour and consistency with general trends in alliance activity and corporate strategy.

The term weighting function known as IDF was proposed in 1972, and has since been extremely widely used, usually as part of a TF*IDF function. It is often described as a heuristic, and many papers have been written (some based on Shannon’s Information Theory) seeking to establish some theoretical basis for it. Some of these attempts are reviewed, and it is shown that the Information Theory approaches are problematic, but that there are good theoretical justifications of both IDF and TF*IDF in traditional probabilistic model of information retrieval.

Recent years have witnessed the rise of new media channels such as Facebook, YouTube, Google, and Twitter, which enable customers to take a more active role as market players and reach (and be reached by) almost everyone anywhere and anytime. These new media threaten long established business models and corporate strategies, but also provide ample opportunities for growth through new adaptive strategies. This paper introduces a new ‘‘pinball’’ framework of new media’s impact on relationships with customers and identifies key new media phenomena which companies should take into account when managing their relationships with customers in the new media universe. For each phenomenon, we identify challenges for researchers and managers which relate to (a) the understanding of consumer behavior, (b) the use of new media to successfully manage customer interactions, and (c) the effective measurement of customers’ activities and outcomes.

This review article identifies and discusses some of main issues and potential problems — paradoxes and pathologies — around the communication of recorded information, and points to some possible solutions. The article considers the changing contexts of information communication, with some caveats about the identification of `pathologies of information', and analyses the changes over time in the way in which issues of the quantity and quality of information available have been regarded. Two main classes of problems and issues are discussed. The first comprises issues relating to the quantity and diversity of information available: information overload, information anxiety, etc. The second comprises issues relating to the changing information environment with the advent of Web 2.0: loss of identity and authority, emphasis on micro-chunking and shallow novelty, and the impermanence of information. A final section proposes some means of solution of problems and of improvements to the situation.

While the strategy-as-practice research agenda has gained considerable momentum over the past five years, many challenges still remain in developing it into a robust field of research. In this editorial, we define the study of strategy from a practice perspective and propose five main questions that the strategy-as-practice agenda seeks to address. We argue that a coherent approach to answering these questions may be facilitated using an overarching conceptual framework of praxis, practices and practitioners. This framework is used to explain the key challenges underlying the strategy-as-practice agenda and how they may be examined empirically. In discussing these challenges, we refer to the contributions made by existing empirical research and highlight under-explored areas that will provide fruitful avenues for future research. The editorial concludes by introducing the articles in the special issue.

Information is regarded as a distinguishing feature of our world. Where once economies were built on industry and conquest, we are now part of a global information economy. Pervasive media, expanding information occupations and the development of the internet convince many that living in an Information Society is the destiny of us all. Coping in an era of information flows, of virtual relationships and breakneck change poses challenges to one and all. In Theories of the Information Society Frank Webster sets out to make sense of the information explosion, taking a sceptical look at what thinkers mean when they refer to the Information Society, and critically examining the major post-war approaches to informational development. The fourth edition of this classic study brings it up to date with new research and with social and technological changes – from the 'Twitter Revolutions' of North Africa, to financial crises that introduced the worst recession in a life time, to the emergence of social media and blogging – and reassesses the work of key theorists in the light of these changes. More outspoken than in previous editions, Webster urges abandonment of Information Society scenarios, preferring analysis of the informatization of long-established relationships. This interdisciplinary book is essential reading for those trying to make sense of social and technological change in the post-war era. It addresses issues of central concern to students of sociology, politics, geography, communications, information science, cultural studies, computing and librarianship.

Calculation of the tunneling magnetoresistance (TMR) of an epitaxial Fe/MgO/Fe(001) junction is reported. The conductances of the junction in its ferromagnetic and antiferromagnetic configurations are determined without any approximations from the real-space Kubo formula using tight-binding bands fitted to an ab initio band structure of iron and MgO. The calculated optimistic TMR ratio is in excess of 1000% for an MgO barrier of $\ensuremath{\approx}20$ atomic planes and the spin polarization of the tunneling current is positive for all MgO thicknesses. It is also found that spin-dependent tunneling in an Fe/MgO/Fe(001) junction is not entirely determined by states at the $\ensuremath{\Gamma}$ point $({\mathbf{k}}_{\ensuremath{\Vert}}=0)$ even for MgO thicknesses as large as $\ensuremath{\approx}20$ atomic planes. All these results are explained qualitatively in terms of the Fe majority- and minority-spin surface spectral densities and the complex MgO Fermi surface.

The social scientific analysis of social class is attracting renewed interest given the accentuation of economic and social inequalities throughout the world. The most widely validated measure of social class, the Nuffield class schema, developed in the 1970s, was codified in the UK’s National Statistics Socio-Economic Classification (NS-SEC) and places people in one of seven main classes according to their occupation and employment status. This principally distinguishes between people working in routine or semi-routine occupations employed on a ‘labour contract’ on the one hand, and those working in professional or managerial occupations employed on a ‘service contract’ on the other. However, this occupationally based class schema does not effectively capture the role of social and cultural processes in generating class divisions. We analyse the largest survey of social class ever conducted in the UK, the BBC’s 2011 Great British Class Survey, with 161,400 web respondents, as well as a nationally representative sample survey, which includes unusually detailed questions asked on social, cultural and economic capital. Using latent class analysis on these variables, we derive seven classes. We demonstrate the existence of an ‘elite’, whose wealth separates them from an established middle class, as well as a class of technical experts and a class of ‘new affluent’ workers. We also show that at the lower levels of the class structure, alongside an ageing traditional working class, there is a ‘precariat’ characterised by very low levels of capital, and a group of emergent service workers. We think that this new seven class model recognises both social polarisation in British society and class fragmentation in its middle layers, and will attract enormous interest from a wide social scientific community in offering an up-to-date multi-dimensional model of social class.

Qualitative comparative analysis is increasingly applied in strategy and organization research. The main purpose of our essay is to support this growing community of qualitative comparative analysis scholars by identifying best practices that can help guide researchers through the key stages of a qualitative comparative analysis empirical study (model building, sampling, calibration, data analysis, reporting, and interpretation of findings) and by providing examples of such practices drawn from strategy and organization studies. Coupled with this main purpose, we respond to Miller’s essay on configuration research by highlighting our points of agreement regarding his recommendations for configurational research and by addressing some of his concerns regarding qualitative comparative analysis. Our article thus contributes to configurational research by articulating how to leverage qualitative comparative analysis for enriching configurational theories of strategy and organization.

OBJECTIVES: To assess the association between infant size or growth and subsequent obesity and to determine if any association has been stable over time. DESIGN: Systematic review. DATA SOURCES: Medline, Embase, bibliographies of included studies, contact with first authors of included studies and other experts. INCLUSION CRITERIA: Studies that assessed the relation between infant size or growth during the first two years of life and subsequent obesity. MAIN OUTCOME MEASURE: Obesity at any age after infancy. RESULTS: 24 studies met the inclusion criteria (22 cohort and two case-control studies). Of these, 18 assessed the relation between infant size and subsequent obesity, most showing that infants who were defined as "obese" or who were at the highest end of the distribution for weight or body mass index were at increased risk of obesity. Compared with non-obese infants, in those who had been obese odds ratios or relative risks for subsequent obesity ranged from 1.35 to 9.38. Ten studies assessed the relation of infant growth with subsequent obesity and most showed that infants who grew more rapidly were at increased risk of obesity. Compared with other infants, in infants with rapid growth odds ratios and relative risks of later obesity ranged from 1.17 to 5.70. Associations were consistent for obesity at different ages and for people born over a period from 1927 to 1994. CONCLUSIONS: Infants who are at the highest end of the distribution for weight or body mass index or who grow rapidly during infancy are at increased risk of subsequent obesity.

è¿›è¡Œæ³•å¾‹ä¸Žä¼šè®¡æ”¹é ©ï¼Œå¼ºåŒ–å€ºæ ƒäººæ ƒåˆ©ã€ å ˆå Œæ‰§è¡ŒåŠ›å’Œä¼šè®¡å‡†åˆ™ï¼Œå ¯ä»¥ä¿ƒè¿›é‡‘èž å ‘å±•å¹¶åŠ é€Ÿç» æµŽå¢žé•¿ã€‚ Levine〠Loayzaå’ŒBeck考察了以下问题： é‡‘èž ä¸­ä»‹çš„å ‘å±•æ°´å¹³ï¼Œæ˜¯å ¦å¯¹ç» æµŽå¢žé•¿æœ‰å› æžœæ€§è´¨çš„å½±å“ ï¼Ÿ ä¸ å Œå›½å®¶åœ¨æ³•å¾‹å’Œä¼šè®¡ä½“ç³»æ–¹é ¢çš„å·®å¼‚ï¼ˆä¾‹å¦‚å€ºæ ƒäººæ ƒåˆ©ã€ å ˆå Œæ‰§è¡ŒåŠ›ä»¥å Šä¼šè®¡å‡†åˆ™ï¼‰ï¼Œæ˜¯å ¦èƒ½å¤Ÿè§£é‡Šé‡‘èž å ‘å±•æ°´å¹³çš„ä¸ å Œï¼Ÿ å Œæ—¶ï¼Œä½¿ç”¨ä¼ ç»Ÿçš„è·¨éƒ¨é—¨çš„å·¥å…·å ¯å ˜çš„ç ”ç©¶æ–¹æ³•ï¼ˆinstrumental-variable proceduresï¼‰å’Œæ–°è¿‘çš„åŠ¨æ€ è¯„ä¼°æŠ€æœ¯ï¼Œä»–ä»¬å ‘çŽ°ï¼šé‡‘èž ä¸­ä»‹çš„å ‘å±•å¯¹ç» æµŽå¢žé•¿æœ‰ç €å·¨å¤§çš„å› æžœæ„ ä¹‰çš„å½±å“ ã€‚ è¿™äº›æ•°æ ®å Œæ—¶è¡¨æ˜Žï¼Œä¸ å Œå›½å®¶åœ¨æ³•å¾‹å’Œä¼šè®¡ä½“ç³»æ–¹é ¢çš„å·®å¼‚ï¼Œå¯¹å…¶ä¸ å Œçš„é‡‘èž å ‘å±•æ°´å¹³æœ‰ç €è¾…åŠ©æ€§å½±å“ ã€‚ ç»¼ä¸Šï¼Œè¿™äº›å ‘çŽ°è¡¨æ˜Žï¼šè¿›è¡Œæ³•å¾‹ä¸Žä¼šè®¡æ”¹é ©ï¼Œå¼ºåŒ–å€ºæ ƒäººæ ƒåˆ©ã€ å ˆå Œæ‰§è¡ŒåŠ›å’Œä¼šè®¡å‡†åˆ™ï¼Œå ¯ä»¥ä¿ƒè¿›é‡‘èž å ‘å±•å¹¶åŠ é€Ÿç» æµŽå¢žé•¿ã€‚

Business models are fundamentally linked with technological innovation, yet the business model construct is essentially separable from technology. We define the business model as a system that solves the problem of identifying who is (or are) the customer(s), engaging with their needs, delivering satisfaction, and monetizing the value. The framework depicts the business model system as a model containing cause and effect relationships, and it provides a basis for classification. We formulate the business model relationship with technology in a two-way manner. First, business models mediate the link between technology and firm performance. Secondly, developing the right technology is a matter of a business model decision regarding openness and user engagement. We suggest research questions both for technology management and innovation, as well as strategy.

Compressed sensing magnetic resonance imaging (CS-MRI) enables fast acquisition, which is highly desirable for numerous clinical applications. This can not only reduce the scanning cost and ease patient burden, but also potentially reduce motion artefacts and the effect of contrast washout, thus yielding better image quality. Different from parallel imaging-based fast MRI, which utilizes multiple coils to simultaneously receive MR signals, CS-MRI breaks the Nyquist-Shannon sampling barrier to reconstruct MRI images with much less required raw data. This paper provides a deep learning-based strategy for reconstruction of CS-MRI, and bridges a substantial gap between conventional non-learning methods working only on data from a single image, and prior knowledge from large training data sets. In particular, a novel conditional Generative Adversarial Networks-based model (DAGAN)-based model is proposed to reconstruct CS-MRI. In our DAGAN architecture, we have designed a refinement learning method to stabilize our U-Net based generator, which provides an end-to-end network to reduce aliasing artefacts. To better preserve texture and edges in the reconstruction, we have coupled the adversarial loss with an innovative content loss. In addition, we incorporate frequency-domain information to enforce similarity in both the image and frequency domains. We have performed comprehensive comparison studies with both conventional CS-MRI reconstruction methods and newly investigated deep learning approaches. Compared with these methods, our DAGAN method provides superior reconstruction with preserved perceptual image details. Furthermore, each image is reconstructed in about 5 ms, which is suitable for real-time processing.

Stories, and their ability to transport their audience, constitute a central part of human life and consumption experience. Integrating previous literature derived from fields as diverse as anthropology, marketing, psychology, communication, consumer, and literary studies, this article offers a review of two decades worth of research on narrative transportation, the phenomenon in which consumers men-tally enter a world that a story evokes. Despite the relevance of narrative trans-portation for storytelling and narrative persuasion, extant contributions seem to lack systematization. The authors conceive the extended transportation-imagery model, which provides not only a comprehensive model that includes the ante-cedents and consequences of narrative transportation but also a multidisciplinary framework in which cognitive psychology and consumer culture theory cross-fer-tilize this field of inquiry. The authors test the model using a quantitative meta-analysis of 132 effect sizes of narrative transportation from 76 published and un-published articles and identify fruitful directions for further research. The one who tells the story rules the world.

Conspiracy theories are ubiquitous when it comes to explaining political events and societal phenomena. Individuals differ not only in the degree to which they believe in specific conspiracy theories, but also in their general susceptibility to explanations based on such theories, that is, their conspiracy mentality. We present the Conspiracy Mentality Questionnaire (CMQ), an instrument designed to efficiently assess differences in the generic tendency to engage in conspiracist ideation within and across cultures. The CMQ is available in English, German, and Turkish. In four studies, we examined the CMQ's factorial structure, reliability, measurement equivalence across cultures, and its convergent, discriminant, and predictive validity. Analyses based on a cross-cultural sample (Study 1a; N = 7,766) supported the conceptualization of conspiracy mentality as a one-dimensional construct across the three language versions of the CMQ that is stable across time (Study 1b; N = 141). Multi-group confirmatory factor analysis demonstrated cross-cultural measurement equivalence of the CMQ items. The instrument could therefore be used to examine differences in conspiracy mentality between European, North American, and Middle Eastern cultures. In Studies 2-4 (total N = 476), we report (re-)analyses of three datasets demonstrating the validity of the CMQ in student and working population samples in the UK and Germany. First, attesting to its convergent validity, the CMQ was highly correlated with another measure of generic conspiracy belief. Second, the CMQ showed patterns of meaningful associations with personality measures (e.g., Big Five dimensions, schizotypy), other generalized political attitudes (e.g., social dominance orientation and right-wing authoritarianism), and further individual differences (e.g., paranormal belief, lack of socio-political control). Finally, the CMQ predicted beliefs in specific conspiracy theories over and above other individual difference measures.