Search results

The personalities of the design team members constitute one of the factors that influence team effectiveness. In this study, 223 members of the “American Institute of Architects” who are employed by the largest architectural design firms in the United States of America were categorized according to their personality types by using “The Enneagram Personality Type Model.” Also, the respondents’ opinions about eight team effectiveness outcomes were recorded in order to explore the relationship between team members’ personality types and team effectiveness outcomes.

The information was collected by a questionnaire where the first part included 144 pairs of statements that were used to identify respondents’ personality types. The second part sought designers’ opinions about the importance of eight team effectiveness outcomes rated on a Likert scale ranging from 1 to 5. The results were assessed by performing the Kruskal–Wallis test first and Dunn’s post-hoc test with Bonferroni adjustment subsequently.

The findings highlight the significance of personality types in effective design teams. While Type 6 (loyalist and skeptic) and Type 3 (achiever and performer) architects prioritize team effectiveness the most, Type 7 architects (enthusiasts and epicureans) assign the lowest importance. However, the presence of Type 1 (reformist and perfectionist) and Type 8 (challenger and protector) architects within the same design team may involve challenges or conflicts.

The primary contribution of this study is that it is the first study in the construction management literature that utilizes The Enneagram of Personality Test to understand the relationship between team members’ personality types and team effectiveness outcomes. This study is of direct relevance to practitioners and could be utilized in design team-building activities.

Online games are popular applications of Internet technology, with over 2.8 billion users worldwide. Many players engage in team gameplay, indicating that online games are suitable media through which players connect with their friends. However, past studies have not examined the ability of games to assist players in connecting with their friends, indicating a gap. To fill this gap, the authors propose a new concept, the friend-connecting affordance, which is the ability of an online game to enable players to contact friends within the game.

The authors built a model to explain how games' friend-connecting affordances influence game loyalty. The authors gathered responses from 1,347 online players and used structural equation modeling to test the model.

The authors found that friend-connecting affordances and team participation influence game loyalty. Gaming intensity and gaming history can moderate the impact of friend-connecting affordances.

This new affordance can be realized through various game elements, offering unique and actionable insights to game makers. The authors also compared the friend-connecting affordances among a number of popular online games, providing insights specific to each game and increasing the practical value of the findings.

In this chapter, the author dwells on the effects of documenting and the failure to document, border lives and deaths. Despite their apparent differences, both practices function as forms of erasure. While the Australian government has historically been keen to document the number of asylum seeker arrivals in this country, it has shown no interest in the numbers and names of those who have died in attempting to arrive here. In contrast, those who manage to cross the border, are subject to intense classificatory and numbering regimes. The latter manifests in bureaucratic control and excessive intervention, while the former reveals governmental denial of complicity in these deaths by not acknowledging them. Both practices share a refusal to encounter the other on ethical terms, reflecting the politics of numbers (Andreas & Greenhill, 2010) at and within the border. This also reveals a paradox, between being represented and not being represented. In the lacuna of details about border deaths, human rights organisations, researchers and advocacy groups have sought both to honour these deaths and to ensure that the scale of border violence is marked by statistical records on the numbers of border deaths. While it might seem that being ‘counted’ – or in Butler’s (2003, p. 41) terms – ‘represented’ is better than not being counted/represented at all, representation is never straightforward (Szörényi, 2009b, p. 185): being counted is often barely a form of representation, with such ‘numbering’ practices contributing to the effacement, rather than the recognition of refugees’ humanity.

The COVID-19 impact across major sectors did not exempt the low-cost housing (LCH) sub-sector. This may have increased the existing LCH demand-supply gap, especially in developing countries such as Malaysia. Studies showed that government policy (GP) aids in mitigating COVID-19 impact on goods and services, including housing-related issues. However, there is an academic literature scarcity regarding GP on LCH demand-supply gap during the COVID-19 crisis in Malaysia. Hence, this study aims to investigate the moderating effect of GP on the relationship between LCH demand-supply gap and COVID-19 impact in Malaysia.

The research utilised a quantitative method in collating the data from four major cities in Malaysia. SmartPLS was utilised to analyse the usable 305 questionnaires retrieved from respondents. Structuralist Theory supported the developed framework.

Findings show that GP moderates the relationships between the LCH demand-supply gap and COVID-19 impact on Malaysia's low-income groups' (LIGs) homeownership delivery. It implies that the study's findings provide more understanding of issues influencing LCH demand-supply gap in the COVID-19 era via applying GP to mitigate the gap and improve homeownership for the disadvantaged.

The study intends to stir policymakers toward formulating policies and programmes that will mitigate LCH demand-supply gap during the present and future pandemics.

Besides the theoretical value of the developed model, policymakers can use the study's recommendations to mitigate future LCH demand-supply gaps during pandemics in developing countries using Malaysia as a case study.

In this study, the authors applied a routine dynamics perspective to examine how agile routines enhance efficiency while allowing flexibility in a world of flux. Hence, the authors conducted an ethnographic case study in the IT sector, following a scrum team. The findings indicate that agile routines create affordances for addressing temporal orientations toward the past, present, and future. Within the scrum framework, each routine has a designed temporal orientation, such that the planning meeting is oriented toward the future. Actors enacted this single, temporal orientation through temporal demarcating patterns. However, in some instances, other temporal orientations conflicted with the dominant one. In those cases, actors enacted temporal integrating patterns that embraced multiple temporal orientations. The authors contribute to research on routine dynamics by demonstrating how (1) temporal demarcating enables organizational benefits, (2) temporal integrating enables learning from and anticipating problems, and (3) temporal spaces emerge within routine enactments to solve problems at hand.

War is one of the worst characteristics of human nature. Wars over territory, religion, and governance were and are always present through history. War and tourism seem dissonant at first glance. However, the post effects of war enable its components, such as battlefields and artefacts, to become tourist attractions. People share the impetus to visit war attractions such as battlefields, military museums, cemeteries, memorials, and other war-related sites. There is a supply for this type of tourism in exchange for the demand. This type of tourism is referred to in the literature as battlefield tourism. The meaning and definition of battlefield tourism are the main aim of this chapter. What is battlefield tourism? What are the components of battlefield tourism? How can battlefield tourism be defined? These are the primary questions this study tries to address.

This study investigates the dual roles of emotion and cognition in shaping customer experiences within the hospitality sector, examining their distinct impacts on the formation of customer loyalty.

Employing a sequential exploratory mixed-method design, this research integrates qualitative interviews with eighteen hospitality managers and a quantitative survey involving 595 customers to develop and validate a new instrument measuring affective and cognitive experiential states for general hospitality consumers.

The study's results reveal that emotional experiences strongly correlate with affective loyalty, while cognitive experiences significantly influence cognitive loyalty. The study contributes to the existing literature by introducing a robust instrument that effectively captures the experiential dimensions, offering insights into customer loyalty formation.

The reliance on retrospective self-reporting in the quantitative phase may introduce recall bias, potentially limiting the precision of the findings. Future research should seek to mitigate this by employing real-time data capture methods.

The newly developed measurement tool presents a practical solution for industry professionals aiming to enhance customer experience management by focusing on both affective and cognitive aspects, thus facilitating targeted strategies to cultivate customer loyalty. The implications for service design suggest that both emotional and cognitive elements must be considered to optimize customer experiences and drive loyalty.

This work advances the theoretical understanding of customer experience by distinguishing between its affective and cognitive dimensions and their respective contributions to loyalty. It offers a validated empirical tool, setting a foundation for future investigations.

The aim of this study is to investigate the application of advanced language models, particularly ChatGPT-4, in identifying and utilizing industrial symbiosis opportunities within the circular economy. It examines how the model can aid in promoting sustainable industrial practices by processing data from the MAESTRI project database, which includes various symbiotic relationships, as well as randomly selected waste codes not included in the database. The research involves structured queries related to industrial symbiosis, circular economy, waste codes and potential opportunities. By assessing the model’s accuracy in response generation, the study seeks to uncover both the capabilities and limitations of the language model in resource efficiency and waste reduction, emphasizing the need for ongoing refinement and expert oversight.

The study adopts a mixed-methods approach, combining qualitative and quantitative analyses to explore the potential of ChatGPT-4 in identifying industrial symbiosis opportunities. Data from the EU-funded MAESTRI project database, which includes existing symbiotic relationships, as well as randomly selected waste codes not included in the database, are used as the primary sources. The language model is queried with structured questions on industrial symbiosis, circular economy and specific waste codes utilizing the model’s advanced functions such as file upload. Responses are evaluated by comparing them with the MAESTRI database and official European Waste Catalogue (EWC) codes.

The study finds that ChatGPT-4 possesses a solid understanding of fundamental concepts related to industrial symbiosis and the circular economy. However, it encounters challenges in accurately describing EWC codes, with a notable portion of descriptions found to be incorrect. Despite these inaccuracies, the model shows potential in suggesting symbiotic opportunities, although its effectiveness is limited. Interestingly, the study reveals that the model can occasionally identify correct symbiotic relationships even with initial inaccuracies. These findings highlight the need for expert oversight and further development of the language model to improve its utility in complex, regulated fields like industrial symbiosis.

This study’s originality lies in its exploration of advanced language models, particularly ChatGPT-4, for identifying industrial symbiosis opportunities within the circular economy framework. Unlike previous research, which primarily focuses on specific sectors and AI’s role in general resource efficiency, this study specifically examines the capabilities and limitations of the language model in handling specialized and regulated information, such as EWC codes across various sectors. It employs a novel approach by comparing AI-generated responses with an established symbiosis database, which is comprehensive and spans all sectors rather than being limited to a single industry, as well as with randomly selected waste codes not included in the database. The study contributes to understanding how AI tools can support sustainable industrial practices, emphasizing the importance of refining these models for practical applications in environmental and industrial contexts.

In this essay on new directions in symbolic interaction, the authors have two related goals. First, the authors argue for the relevance of collective intentionality for overcoming the critical divide in symbolic interaction theory between self and society. In focusing on the way in which collective intentionality allows for understanding how intersubjectivity is made part of the interaction order by group members and local communities, the mesolevel of analysis should be integrated into the interactionist perspective. In making this argument, the second goal is to uncover the important social phenomenology of the early 20th German philosopher, Gerda Walther, which raised similar issues. Perhaps because of her gender, the lack of a secure university position, the financial reserves of her family, or a personal turn to mysticism, her early work has largely been erased. Today her significance and her important 1922 work, A Contribution to the Ontology of Social Communities, is being recovered, published last year (Walther, 2023). Here we highlight her relevance for the interactionist tradition and its approach to intersubjectivity.