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This study explores how a small minority of social entrepreneurs break free from third sector constraints to conceive, create and grow non-profit organisations that generate social value at scale in new and innovative ways.

Six narrative case histories of innovative social enterprises were developed based on documents and semi-structured interviews with founders and long serving executives. Data were coded “chrono-processually”, which involves locating thoughts, events and actions in distinct time periods (temporal bracketing) and identifying the processes at work in establishing new social ventures.

This study presents two core findings. First, the paper demonstrates how successful social entrepreneurs draw on their lived experiences, private and professional, in driving the development and implementation of social innovations, which are realised through application of their capabilities as analysts, strategists and resources mobilisers. These capabilities are bolstered by personal legitimacy and by their abilities as storytellers and rhetoricians. Second, the study unravels the complex processes of social entrepreneurship by revealing how sensemaking, theorising, strategizing and sensegiving underpin the core processes of problem specification, the formulation of theories of change, development of new business models and the implementation of social innovations.

The study demonstrates how social entrepreneurs use sensemaking and sensegiving strategies to understand and address complex social problems, revealing how successful social entrepreneurs devise and disseminate social innovations that substantially add value to society and bring about beneficial social change. A novel process-outcome model of social innovation is presented illustrating the interconnections between entrepreneurial cognition and strategic action.

WE have, of course, been fighting a losing battle. By now it appears that all of the three major political parties are in favour of worker participation at board level. Prettywell everybody is convinced that it is bound to come. So let us, too, assume that that is so and take a look at the implications.

This paper uses a supplemented health belief model (HBM) to explain the risk perception of COVID-19 coronavirus infection by potential and actual domestic and international travelers (from primarily European countries) in the early pre-vaccine phase of the pandemic and its influence on their travel intentions, decisions, and actions. With a health crisis of this magnitude, it is vital to understand the effect of COVID-19-associated containment measures and safety industry strategies in abating public fear and apprehension associated with non-essential travel.

The authors used a sequential transformative design consisting of a (QUAN + Qual) survey to explore the HBM dimensions. The questions in the quantitative part of the survey were disseminated online examine perceptions of the severity and susceptibility of the disease, travel risks and willingness to travel. The questions in the qualitative face-to-face survey examined, how international/cross-border travelers (from Spain and Germany) perceive the benefits and barriers of personal protective behavior and the potential influence of cues to action.

Results suggest that despite potential fear arousal and confusion associated with this infectious disease, people were willing to travel during periodic on-and-off travel restrictions and perceive the benefits of such travel as outweighing barriers like wearing masks, social distancing and other containment measures.

The conceptual model enabled the capture of real-time traveler's feelings about the benefits of traveling in the presence of the coronavirus and their perceptions of COVID-19 safety strategies used at destinations. This study adds to the lack of existing knowledge about potential psychological factors influencing travel decisions and behavior, including self-protective behavior. As borders reopen and we progress towards tourism and hospitality recovery, the results of this study can assist organizations, including health officials and governments, by reminding them of the likelihood of residual public fear when planning their COVID-19 safety strategies.

Given the scarcity of COVID-19 research on people's travel intentions and behavior following periods of social isolation due to lockdowns and border closures, this study captures sample public perceptions at two stages early in the pandemic. It is the first to apply all of the HBM dimensions with the addition of travel risk as a construct to investigate people's travel intentions and behaviors without vaccinations or treatments and to include cues to action in the investigation.

In this chapter, I discuss the development of the cannibal picking up from Jennifer Brown’s (2013) study, Cannibalism in Literature and Film. Brown (2013, p. 7) argued that the cannibal is a sign of ultimate difference who ‘reappears in various guises at times when popular culture needs to express real fears and anxieties’. I argue that the most recent version of the cannibal is gendered female and that this coincides with a postfeminist media culture. I explore how the cannibal is positioned as an ambiguous figure which questions both humanity and monstrosity. I argue that this is complicated by gendering it female as women have traditionally straddled the line between human and less-than human in popular culture. I discuss three films: 301/302 (Park, 1995), The Woman (Torino, Van Den Houten, & McKee, 2011) and Raw (De Forêts & Ducournau, 2016) and explore how they use incest, objectification and dehumanization as well as cannibalism to explore the ambiguities of postfeminist subjecthood. I will argue that by performing acts of cannibalism the female cannibals in these films reclaim their subjectivity both by objectifying others and by identifying with their victims. The cannibalism also presents the opportunity for female-oriented families through shared consumption which ironically embraces patriarchal ideals of feminine feeding roles and challenges the patriarchal basis of the family.

Information systems research methods need to contribute to the scholarly requirements of the field of knowledge but also need to develop the potential to contribute to the practical requirements of practitioners′ knowledge. This leads to possible conflicts in choosing research methods. Argues that the changing world of the IS practitioner is reflected in the changing world of the IS researcher and that qualitative approaches to IS research help to bridge the gap between the two domains of knowledge. Illustrates how this gap may be bridged through discussing the ethnographic research method. Concludes by assessing the contributions and limitations of this method to IS research and practice.

Statistical inference (estimation and testing) for the stochastic volatility (SV) model Taylor (1982, 1986) is challenging, especially likelihood-based methods which are difficult to apply due to the presence of latent variables. The existing methods are either computationally costly and/or inefficient. In this paper, we propose computationally simple estimators for the SV model, which are at the same time highly efficient. The proposed class of estimators uses a small number of moment equations derived from an ARMA representation associated with the SV model, along with the possibility of using “winsorization” to improve stability and efficiency. We call these ARMA-SV estimators. Closed-form expressions for ARMA-SV estimators are obtained, and no numerical optimization procedure or choice of initial parameter values is required. The asymptotic distributional theory of the proposed estimators is studied. Due to their computational simplicity, the ARMA-SV estimators allow one to make reliable – even exact – simulation-based inference, through the application of Monte Carlo (MC) test or bootstrap methods. We compare them in a simulation experiment with a wide array of alternative estimation methods, in terms of bias, root mean square error and computation time. In addition to confirming the enormous computational advantage of the proposed estimators, the results show that ARMA-SV estimators match (or exceed) alternative estimators in terms of precision, including the widely used Bayesian estimator. The proposed methods are applied to daily observations on the returns for three major stock prices (Coca-Cola, Walmart, Ford) and the S&P Composite Price Index (2000–2017). The results confirm the presence of stochastic volatility with strong persistence.

The following classified, annotated list of titles is intended to provide reference librarians with a current checklist of new reference books, and is designed to supplement the RSR review column, “Recent Reference Books,” by Frances Neel Cheney. “Reference Books in Print” includes all additional books received prior to the inclusion deadline established for this issue. Appearance in this column does not preclude a later review in RSR. Publishers are urged to send a copy of all new reference books directly to RSR as soon as published, for immediate listing in “Reference Books in Print.” Reference books with imprints older than two years will not be included (with the exception of current reprints or older books newly acquired for distribution by another publisher). The column shall also occasionally include library science or other library related publications of other than a reference character.

The World Wide Web has undergone a rapid transition from the originally static hypertext to an ubiquitous hypermedia system. Today, the Web is not only used as a basis for distributed applications (Web applications), moreover it serves as a generic architecture for autonomous applications and services. Many research work has been done regarding the modeling and engineering process of Web applications and various platforms, frameworks and development kits exist for the efficient implementation of such systems. Concerning the modeling process, many of the published concepts try to merge traditional hypermedia modeling with techniques from the software engineering domain. Unfortunately, those concepts which capture all facets of the Web’s architecture become rather bulky and are eventually not applicable for a model‐driven Web application development. Moreover, there is a need for frameworks which address both, the modeling process and the implementation task and allow a model driven, semi‐automatic engineering process using CASE tools. This paper outlines the DaVinci Web Engineering Framework which supports the modeling as well as the semi‐automated implementation of Web applications. The DaVinci Architectural Layer specifies a persistent, hierarchical GUI model and a generic interaction scheme. This allows the elimination of the hypermedia paradigm, which turned out to be rather practical when building Web applications.