Search results

This study explores the potential of computational design processes in creating contextually responsive envelopes for high-rise residential buildings in the Middle East. This includes considering both physical constraints and social preferences, with a focus on balancing sunlight exposure, privacy and views.

A two-phase simulation study analyzed various exterior envelope systems in Baghdad high-rise buildings. The first phase examined two commonly used exterior envelopes – fully glazed and window-based – to assess sunlight exposure, privacy and views. In the second phase, a multi-objective optimization process was applied to derive contextually optimized design solutions addressing the challenges identified in the first phase.

The study reveals that contextually optimized design solutions significantly improved direct sunlight exposure and privacy while maintaining satisfactory views. Although fully glazed exterior envelopes provided better-uninterrupted views, the optimized solutions offered more balanced performance across all factors, demonstrating the potential of computational design processes in creating contextually responsive building envelopes.

This paper emphasizes the importance of considering both physical and social contexts in the development of algorithms for architecture in the Middle East. This paper supports a progressive interpretation of traditional building references and demonstrates how computational design processes can create contextually responsive building envelopes that satisfy social needs and provide better-performing buildings for inhabitants.

This paper aims out to analyze the confluence of spatial analysis and computational design strategies to support the reestablishment of Mosul's city housing fabric. According to a UN-Habitat report, Mosul suffered from catastrophic losses on an urban scale, resulting in a housing crisis that requires a large-scale response. However, the need for immediate shelters might lead to a rapid, uninformed reconstruction process, causing the loss of the architectural identity that the city accumulated over the years.

The study utilizes a two-phase sequential research method. In Phase 1, the study applies space syntax techniques to transform the floor plans of the collected traditional and contemporary houses into “quantifiable data.” This phase aims to identify design criteria that capture the “spatial configuration” of both types of houses. In the subsequent phase, the study utilizes the identified design criteria to develop a genetic algorithm inspired by traditional and contemporary practice that facilitates an informed design process.

The outcome of the study indicates that informed computational synthesis can assist in generating multiplicities floor plan layouts that mimic the inner spatial configuration of existing traditional courtyard houses and contemporary noncourtyard houses. In addition, the developed genetic algorithm was able to generate hybridized design solutions that have been spatially validated.

The study concludes with observations linking informed computational synthesis to the postwar construction process as a remedial methodology to analyze and redesign Mosul's city fabric in an informed, affordable and accessible fashion.

Commemorating the 15th year anniversary of discourse, knowledge dissemination in architecture and urbanism through the contributions published in Archnet-IJAR: International Journal of Architectural Research, since March 2007, this article aims to capture, unpack and categorize the key content of published research outputs during the last five years into knowledge spaces.

While referring to key statistics of various recognized databases in order to highlight the journal growth, development and performance, the approach to the analysis is inspired by Crysler's Writing Spaces: Discourses of Architecture, Urbanism and the Built Environment. This is established through a preliminary conceptual content analysis that enables the development of specific content categories representing knowledge spaces based on the overall contributions to the journal since its inception in 2007 and then mapping the recent contributions, developed over the past five years (2017–2021), to these knowledge spaces. The thrust of the analysis is to instigate a structured understanding of Archnet-IJAR role in the development and dissemination of knowledge in architecture and urbanism.

The examination of the content and the analysis reveal two broad categories of knowledge spaces: established and evolving. Established knowledge spaces are recognized in terms of theorizing architectural and urban production; the public realm and assessment of designed environments; housing, the informal and the vernacular; urban heritage and historic environments; and architectural and urban politics. Evolving knowledge spaces were acknowledged in terms of architectural education and design pedagogy; collaborative planning and community design; architectural and urban sustainability and resilience; health, wellbeing and engaging with nature; and COVID-19 spatial and pedagogical implications. Characterized by clear definition and at the same time transparent borders, the identified knowledge spaces have the potential of generating further possibilities for future knowledge spaces.

In addition to a holistic analysis based on the scrutiny of contributions as they progressed from submissions to reviews to publishing, future work would involve more systematization, in-depth engagement with metadata and should benefit from IT applications and data mining software packages.

This article is regarded as a cognizance platform and an enabling mechanism for researchers and future contributors to identify the unique particularities of their research, the nature of the content they aim to develop and the way in which that content may contribute to one or more knowledge spaces.

Establishing an understanding of the knowledge spaces which represent contributions published in Archnet-IJAR, the knowledge spaces identified demonstrate diversity and plurality; diversity in ontological interpretations of the nature of reality and plurality and pluri-epistemology in terms of how methods are pursued and the way in which such interpretations are developed, recorded, documented and communicated. These are knowledge spaces of possibilities and anticipation of growth, evolution and development.

The purpose of this paper is to explore consumer attitudes towards ambush marketing and official event sponsorship through the lens of sentiment analysis, and to examine social media users' ethical responses to digital event marketing campaigns during the 2018 FIFA World Cup.

The study employed a sentiment analysis, examining Twitter users’ utilization of sponsor and non-sponsor promotional hashtags. Statistical modelling programme R was used to access Twitter’s API, enabling the analysis and coding of user tweets pertaining to six marketing campaigns. The valence of each tweet – as well as the apparent user motivation underlying each post – was assessed, providing insight into Twitter users’ ethical impressions of sponsor and ambush marketer activities on social media and online engagement with social media marketing.

The study’s findings indicate that consumer attitudes towards ambush marketing may be significantly more positive than previously thought. Users’ attitudes towards ambush marketing appear significantly more positive than previously assumed, as users of social media emerged as highly responsive to creative and value-added non-sponsor campaigns.

The findings affirm that sentiment analysis may afford scholars and practitioners a viable means of assessing consumer attitudes towards social marketing activations, dependent upon campaign objectives and strategy. The study provides a new and invaluable context to consumer affect and ambush ethics research, advancing sponsorship and ambush marketing delivery and social sponsorship analytical practice.

The purpose of the article is to report a study on evaluation of smart manufacturing (SM) performance using a grey theory-based approach.

In total, 30 criteria and 79 attributes for SM performance have been developed. A grey theory-based approach has been used for SM performance evaluation. The grey index has been calculated, and weaker areas have been derived. Performance level of SM has been evaluated using the Euclidean distance approach.

The SM performance index is found to be (3.036, 12.296). The ideal grey performance importance index (GPII) is obtained as (3.025, 4.875). The level of visibility and traceability, vertical integration, lead time and configuration data espionage and control ability are strong performing attributes. Integration abilities of services and manufacturing systems, ability of self-control, worker and raw material productivity, collaboration among buyers and suppliers and dynamic scheduling are identified as weaker areas, and suggestions for improvement have been derived. SM performance level has been identified as “Good.”

Additional performance measures could be included as a part of evaluation. Practitioners can overcome weaker areas in the early phase. Management achieves confidence and practitioners attain success in implementation of SM in industry through the developed SM performance indexing system.

Identification of SM performance measures and analysis of SM performance is the original contribution of the authors. The developed approach assists practitioners and managers to focus more on specific areas for performance improvement.