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.

ABSTRACT We investigate the role of information in affecting a firm's cost of capital. We show that differences in the composition of information between public and private information affect the cost of capital, with investors demanding a higher return to hold stocks with greater private information. This higher return arises because informed investors are better able to shift their portfolio to incorporate new information, and uninformed investors are thus disadvantaged. In equilibrium, the quantity and quality of information affect asset prices. We show firms can influence their cost of capital by choosing features like accounting treatments, analyst coverage, and market microstructure.

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

ABSTRACT This review and introduction to the Special Issue on ‘Strategy Research in Emerging Economies’ considers the nature of theoretical contributions thus far on strategy in emerging economies. We classify the research through four strategic options: (1) firms from developed economies entering emerging economies; (2) domestic firms competing within emerging economies; (3) firms from emerging economies entering other emerging economies; and (4) firms from emerging economies entering developed economies. Among the four perspectives examined (institutional theory, transaction cost theory, resource‐based theory, and agency theory), the most dominant seems to be institutional theory. Most existing studies that make a contribution blend institutional theory with one of the other three perspectives, including seven out of the eight papers included in this Special Issue. We suggest a future research agenda based around the four strategies and four theoretical perspectives. Given the relative emphasis of research so far on the first and second strategic options, we believe that there is growing scope for research that addresses the third and fourth.

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.

This manual is a response to a request from health services researchers wishing to predict and understand behaviour, in particular, researchers throughout the European Union involved in the ReBEQI project (Research-Based Education and Quality Improvement).It is based on a psychological model of behaviour change, the Theory of Planned Behaviour (TPB; Ajzen, 1988), which evolved from the Theory of Reasoned Action (Fishbein, 1967) and is designed to assist psychologists and nonpsychologists involved in health services research to produce an effective questionnaire to measure the TPB constructs.Advice from the TPB literature (e.g.Ajzen, 1988;Conner & Sparks, 1995;Godin & Kok, 1996) has been integrated, resulting in a guide to writing questionnaires that is based on current practice among TPB researchers.Questionnaires based on the TPB can be used to investigate the attitudes and beliefs underlying health-related behaviour.In implementation (or knowledge transfer) research with health care professionals, these questionnaires have been used to investigate the uptake of evidence-based practice.The Theory of Planned Behaviour is the explicit theoretical basis for 222 studies published in the Medline database, and 610 studies published in the PsycINFO database, from 1985 to January 2004.Apparently, hundreds of researchers have used this theory and have gone about the fascinating but time consuming task of reading the source materials and considering current debates about measurement strategies, before constructing a questionnaire to investigate their topic of interest.This manual is a tool that may help researchers to fast-track through this process.For those who have the time to investigate the background issues, we have included a full discussion of our operational decisions in Appendix C.This manual has been subjected to a wide range of reviewing and trialling procedures.We are grateful to many colleagues who reviewed earlier drafts, to workshop participants who used the manual as an 'instant' guide to writing questions and to our bilingual colleagues who provided translations, backtranslations and comments on the Dutch and Italian versions of the brief questionnaire.

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.

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.

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.

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.

The concepts of ‘information literacy’ and ‘digital literacy’ are described, and reviewed, by way of a literature survey and analysis. Related concepts, including computer literacy, library literacy, network literacy, Internet literacy and hyper‐literacy are also discussed, and their relationships elucidated. After a general introduction, the paper begins with the basic concept of ‘literacy’, which is then expanded to include newer forms of literacy, more suitable for complex information environments. Some of these, for example library, media and computer literacies, are based largely on specific skills, but have some extension beyond them. They lead togeneral concepts, such as information literacy and digital literacy which are based on knowledge, perceptions and attitudes, though reliant on the simpler skills‐based literacies

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.

BACKGROUND AND REVIEW CONTEXT: Evidence to support the proposition that learning together will help practitioners and agencies work better together remains limited and thinly spread. This review identified, collated, analysed and synthesised the best available contemporary evidence from 21 of the strongest evaluations of IPE to inform the above proposition. In this way we sought to help shape future interprofessional education and maximize the potential for interprofessional learning to contribute to collaborative practice and better care. OBJECTIVES OF THE REVIEW: To identify and review the strongest evaluations of IPE. To classify the outcomes of IPE and note the influence of context on particular outcomes. To develop a narrative about the mechanisms that underpin and inform positive and negative outcomes of IPE. SEARCH STRATEGY: Bibliographic database searches as follows: Medline 1966-2003, CINAHL 1982-2001, BEI 1964-2001, ASSIA 1990-2003 which produced 10,495 abstracts. Subsequently, 884 full papers were obtained and scrutinized. In addition, hand searching (2003-5 issues) of 21 journals known to have published two or more higher quality studies from a previous review. TOPIC DEFINITION AND INCLUSION CRITERIA: Peer-reviewed papers and reports included in the review had to be formal educational initiatives attended by at least two of the many professional groups from health and social care, with the objective of improving care; and learning with, from and about each other. DATA COLLECTION, ANALYSIS AND SYNTHESIS: Standard systematic review procedures were applied for sifting abstracts, scrutinizing full papers and abstracting data. Two members of the team checked each abstract to decide whether the full paper should be read. A third member was consulted over any discrepancies. Similarly, each full paper was read by at least two members of the team and agreement sought before passing it to one member of the team (SR) for data abstraction. Other members of the team checked 10% of the abstraction records. Coding into a Statistical Package for Social Scientists (SPSS) data base led to collection of different outcome measures used in the primary studies via the common metric of an adapted Kirkpatrick's four-level model of educational outcomes. Additionally, a narrative synthesis was built after analysis of primary data with the 3-P model (presage-process-product) of education development and delivery. HEADLINE RESULTS: Government calls for enhanced collaboration amongst practitioners frequently leads to IPE that is then developed and delivered by educators, practitioners or service managers. Staff development is a key influence on the effectiveness of IPE for learners who all have unique values about themselves and others. Authenticity and customization of IPE are important mechanisms for positive outcomes of IPE. Interprofessional education is generally well received, enabling knowledge and skills necessary for collaborative working to be learnt; it is less able to positively influence attitudes and perceptions towards others in the service delivery team. In the context of quality improvement initiatives interprofessional education is frequently used as a mechanism to enhance the development of practice and improvement of services.