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The live streaming of theatrical performances to cinemas has become increasingly common in recent years. The practice offers potentially positive returns for audience reach, audience development, revenue streams and global cultural exchange (Cochrane and Bonner, 2014; Nesta, 2011; King, 2016). However, the conceptualisation of live performance transmissions remains under-explored. The purpose of this paper is to review critically selected literature on event experience and apply it to the growing practice of live-streaming theatre (LST). In doing so, the paper develops a new conceptual model that can be used to guide future research on audience expectations, motivations and experience of LST.

A comparative historic case study approach combines a structured review of relevant academic literature and industry sources. Theories of live cultural experience and authenticity are critically reviewed. The opportunities and threats of LST to performing arts companies are summarised. The approach considers cognitive, affective and behavioural factors in probing themes of audience awareness, perceptions, expectations and experience of LST. The paper uses these factors to develop an original conceptual model for LST.

The research finds that the practice of cinematic live transmission of performing arts challenges existing conceptual categories and marketing strategies. Fundamental events studies factors such as “attendance”, “authenticity” and “experience” are re-evaluated. The model suggests that despite improvements in digital technology traditional theatre and broadcasted theatre are two different experiences, not substitutes.

As a conceptual paper, the results are subject to being tested in the field. The findings reveal implications for the evolving future of hybrid and mixed event experiences. The potential for LST screenings to attract new audiences requires further study.

The implications of the research reflect the changing business models and supply side dynamics of theatre production and touring. The results suggest that live streaming is of limited effectiveness in addressing the capacity limits of Baumol and Bowen’s (1966) “cost disease” in live arts performance. LST allows major brands to penetrate regional markets thereby potentially squeezing out smaller touring companies and restricting innovation.

The findings reveal implications for the evolving future of hybrid and mixed event experiences.

The influence of digital technology on live arts experience is currently under-explored and under-theorised. This paper develops a new conceptual model that captures in greater detail than previously the various factors that may determine audience engagement with, and experience of, LST. The paper contributes to knowledge by expanding the discourse on the gaps between the competing aims of access and authenticity. The analysis expands the academic understanding of hybrid and virtual event experiences.

This paper aims to propose a consistent approach to geometric modeling of optimized lattice structures for additive manufacturing technologies.

The proposed method applies subdivision surfaces schemes to an automatically defined initial mesh model of an arbitrarily complex lattice structure. The approach has been developed for cubic cells. Considering different aspects, five subdivision schemes have been studied: Mid-Edge, an original scheme proposed by the authors, Doo–Sabin, Catmull–Clark and Bi-Quartic. A generalization to other types of cell has also been proposed.

The proposed approach allows to obtain consistent and smooth geometric models of optimized lattice structures, overcoming critical issues on complex models highlighted in literature, such as scalability, robustness and automation. Moreover, no sharp edge is obtained, and consequently, stress concentration is reduced, improving static and fatigue resistance of the whole structure.

An original and robust method for modeling optimized lattice structures was proposed, allowing to obtain mesh models suitable for additive manufacturing technologies. The method opens new perspectives in the development of specific computer-aided design tools for additive manufacturing, based on mesh modeling and surface subdivision. These approaches and slicing tools are suitable for parallel computation, therefore allowing the implementation of algorithms dedicated to graphics cards.

In the newly released ASTM standard specification for additive manufacturing file (AMF) format – version 1.1 – Hermite curve-based interpolation is used to refine input triangles to generate denser mesh with smoother geometry. This paper aims to study the problems of constructing smooth geometry based on Hermite interpolation on curves and proposes a solution to overcome these problems.

A formulation using triangular Bézier patch is proposed to generate smooth geometry from input polygonal models. Different configurations on the boundary curves in the formulation are analyzed to further enrich this formulation.

The study shows that the formulation given in the AMF format (version 1.1) can lead to the problems of inconsistent normals and undefined end-tangents.

The scheme has requirements on the input normals of a model, only C0 interpolation can be generated on those cases with less-proper input.

To overcome the problems of smooth geometry generation in the AMF format, the authors propose an enriched scheme for computing smooth geometry by using triangular Bézier patch. For the configurations with less-proper input, the authors adopt the Boolean sum and the Nielson’s point-opposite edge interpolation for triangular Coons patch to generate the smooth geometry as a C0 interpolant.

Citizens are substantial stakeholders in every e-government system, thus their willingness to use and ability to access the system are critical. Unequal access and information and communication technology usage, which is known as digital divide, however has been identified as one of the major obstacles to the implementation of e-government system. As digital divide inhibits citizen’s acceptance to e-government, it should be overcome despite the lack of deep theoretical understanding on this issue. This research aimed to investigate the digital divide and its direct impact on e-government system success of local governments in Indonesia as well as indirect impact through the mediation role of trust. In order to get a comprehensive understanding of digital divide, this study introduced a new type of digital divide, the innovativeness divide.

The research problems were approached by applying two-stage sequential mixed method research approach comprising of both qualitative and quantitative studies. In the first phase, an initial research model was proposed based on a literature review. Semi-structured interview with 12 users of e-government systems was then conducted to explore and enhance this initial research model. Data collected in this phase were analyzed with a two-stage content analysis approach and the initial model was then amended based on the findings. As a result, a comprehensive research model with 16 hypotheses was proposed for examination in the second phase.

In the second phase, quantitative method was applied. A questionnaire was developed based on findings in the first phase. A pilot study was conducted to refine the questionnaire, which was then distributed in a national survey resulting in 237 useable responses. Data collected in this phase were analyzed using Partial Least Square based Structural Equation Modeling.

The results of quantitative analysis confirmed 13 hypotheses. All direct influences of the variables of digital divide on e-government system success were supported. The mediating effects of trust in e-government in the relationship between capability divide and e-government system success as well as in the relationship between innovativeness divide and e-government system success were supported, but was rejected in the relationship between access divide and e-government system success. Furthermore, the results supported the moderating effects of demographic variables of age, residential place, and education.

This research has both theoretical and practical contributions. The study contributes to the developments of literature on digital divide and e-government by providing a more comprehensive framework, and also to the implementation of e-government by local governments and the improvement of e-government Readiness Index of Indonesia.

Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured supply chain practices, lack of awareness of the implications of the sustainability concept and failure to recycle poultry wastes. The current research thus attempts to develop an integrated supply chain model in the context of poultry industry in Bangladesh. The study considers both sustainability and supply chain issues in order to incorporate them in the poultry supply chain. By placing the forward and reverse supply chains in a single framework, existing problems can be resolved to gain economic, social and environmental benefits, which will be more sustainable than the present practices.

The theoretical underpinning of this research is ‘sustainability’ and the ‘supply chain processes’ in order to examine possible improvements in the poultry production process along with waste management. The research adopts the positivist paradigm and ‘design science’ methods with the support of system dynamics (SD) and the case study methods. Initially, a mental model is developed followed by the causal loop diagram based on in-depth interviews, focus group discussions and observation techniques. The causal model helps to understand the linkages between the associated variables for each issue. Finally, the causal loop diagram is transformed into a stock and flow (quantitative) model, which is a prerequisite for SD-based simulation modelling. A decision support system (DSS) is then developed to analyse the complex decision-making process along the supply chains.

The findings reveal that integration of the supply chain can bring economic, social and environmental sustainability along with a structured production process. It is also observed that the poultry industry can apply the model outcomes in the real-life practices with minor adjustments. This present research has both theoretical and practical implications. The proposed model’s unique characteristics in mitigating the existing problems are supported by the sustainability and supply chain theories. As for practical implications, the poultry industry in Bangladesh can follow the proposed supply chain structure (as par the research model) and test various policies via simulation prior to its application. Positive outcomes of the simulation study may provide enough confidence to implement the desired changes within the industry and their supply chain networks.

The purpose of this paper is to identify workplace factors with an impact on lean performance (LP). This can lead to better LP outcomes, thus facilitating organizations to smoothly move from the conventional to lean management.

The direct effects of training, knowledge acquisition and organizational culture are empirically investigated using data from 126 managers employed at a global company, which recently has improved its LP. Study’s hypotheses were analyzed with hierarchical regression models.

The findings suggest that not all of the aforementioned workplace factors holistically affect LP. Only organizational culture is associated to the four LP variables (i.e. continuous improvement, waste, ergonomy and product quality). Training and knowledge acquisition offer partially effects on LP with training to contribute mostly to predicting continuous improvements. Knowledge acquisition alone, has significant yet negative impact on both continuous improvement and ergonomy. Even more, when training is combined with knowledge acquisition the results are different.

As this study highlights the impact of workplace practices on LP, attributes mainly importance to the distinct effects that each of the aforementioned factors has on the four distinct LP variables. Although the study results reflect a particular case, its recommendations could facilitate practitioners to achieve better lean outcomes.

The aim of this paper is to examine the effects of corporate social responsibility (CSR) on corporate identity, image and firm performance in a multi‐industry setting, in order to support evidence that the effects of CSR differ in different industry settings.

The study, based on pre‐existing CSR scales, was tested using data collected from a sample of 389 European companies. Hypotheses are based on the examination of the moderating effects of CSR using a group comparison method.

Contingency models show that CSR triggers the corporate‐image‐building process and that its relationship to company success varies significantly based on company size, industry and marketing budget.

This research was conducted within a specific region in the EU and as such these findings may or may not be generalized to other regions like Asia or the USA. In addition, the secondary data of the study did not include stakeholders other than customers and suppliers, suggesting that further analysis of the model should be made using data from additional stakeholders.

Previous research has shown mixed results from companies' efforts in the field of CSR. This paper triggers practitioners' discussion about the ability to pursue CSR, depending on their size, industry, and marketing budget, and helps them to set the right focus for their CSR efforts.

The study enriches the body of empirical research on CSR and provides support for research investigating under which conditions CSR is most effective. It is the first to analyze samples from different industries in this context.

Drawing on the confirmation–disconfirmation paradigm and the elaboration likelihood model, this study builds and tests a conceptual model that examines the effect of perceived authenticity on affective and behavioural outcomes as well as the moderating role of consumer involvement on the link between authenticity and satisfaction. The model was tested on data collected from 224 members of a theatre audience using structural equation modelling. Results indicate that perceived authenticity associated with both the core arts product and the venue enhances audience satisfaction which is a strong predictor of intention to recommend. Audience involvement with theatre moderates the link between authenticity of venue and satisfaction, with this association being stronger for low-involvement consumers.

The purpose of this paper is to present a training model for decision makers that covers the complexity which is inherent in decision-making processes in times of floods.

Through literature review, case study analysis and iterative interviews with decision-makers, the model was established. It enables one to simulate different scenarios depending on selected influencing factors and was implemented with Stella 9.1.

Flood events are highly complex and their development process is significantly influenced by various conditions. The findings show that the most important factor is the water level which determines the time available to respond. The presented System Dynamics (SD) model has the capability to capture such complex settings. Through what-if analysis and the comparison of different scenarios, learning effects are achieved by using the model.

The level of abstraction is high. Not all influencing variables can be incorporated due to the variety of flood events. Based on experts’ recommendations, the most relevant factors were included as areas of focus in the model.

The generated model is presented to facilitate holistic comprehension of the modelling process. It offers the possibility to start learning processes through scenario analyses in order to strengthen decision-makers’ understanding of complexity.

To the best of our knowledge, there are no comparable studies that focus on the generation process of building an SD-model for educational purposes in flood response.