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International construction joint ventures (ICJVs) will fully realize their potential for success and effectively monitor performance when an adequate and suitable performance benchmark is established. However, existing studies fall short of adequately providing a mutually acceptable benchmark for assessing the performance of ICJVs. This study aims to develop an adequate and suitable performance measurement framework for ICJVs.

A twofold structured questionnaire survey, supplemented by semi-structured interviews, was used to collect data from the practitioners of ICJVs hosted in the developing country of Ghana. The data were analyzed by using descriptive statistics, confirmatory factor analysis (CFA) and a hybrid-fuzzy logic approach.

A list of 30 performance indicators (PIs), defined by project performance, perceived satisfaction, company/partner performance, socio-environmental performance and performance of ICJV management, was validated and proved to be significant. Only 22 out of the 30 PIs, focusing on project efficiency, societal improvement and organizational goals are realized by the ICJV practitioners. Further, suitable determinants and viable quantitative ranges for measuring each PI are established to prevent different interpretations of the meanings of PIs and objectively express the level of success in quantitative terms. The results call for further investigation of the convergence between the practice of and research into some PIs (e.g. socio-environmental performance) and a range of different performance levels (PLs) in a more scientific manner.

This study not only advances the knowledge base and practice of performance measurement in ICJVs but could also assist stakeholders and decision-makers to assess, compare and monitor the performance of different ICJV projects on common grounds objectively.

This study not only comprehensively assessed PIs – what to measure – but also systematically determined suitable determinants – how to measure – for each PI.

In the last decades, various building information modeling–life cycle assessment (BIM-LCA) integration approaches have been developed to assess the environmental impact of the built asset. However, there is a lack of consensus on the optimal BIM-LCA integration approach that provides the most accurate and efficient assessment outcomes. To compare and determine their accuracy and efficiency, this study aimed to investigate four typical BIM-LCA integration solutions, namely, conventional, parametric modeling, plug-in and industry foundation classes (IFC)-based integration.

The four integration approaches were developed and applied using the same building project. A quantitative technique for evaluating the accuracy and efficiency of BIM-LCA integration solutions was used. Four indicators for assessing the performance of BIM-LCA integration were (1) validity of LCA results, (2) accuracy of bill-of-quantity (BOQ) extraction, (3) time for developing life cycle inventories (i.e. developing time) and (4) time for calculating LCA results (i.e. calculation time).

The results show that the plug-in-based approach outperforms others in developing and calculation time, while the conventional one could derive the most accuracy in BOQ extraction and result validity. The parametric modeling approach outperforms the IFC-based method regarding BOQ extraction, developing time and calculation time. Despite this, the IFC-based approach produces LCA outcomes with approximately 1% error, proving its validity.

This paper forms one of the first studies that employ a quantitative and objective method to determine the performance of four typical BIM-LCA integration solutions and reveal the trade-offs between the accuracy and efficiency of the integration approaches. The findings provide practical references for LCA practitioners to select appropriate BIM-LCA integration approaches for evaluating the environmental impact of the built asset during the design phase.

While research on sustainability reporting in the construction industry has already provided comprehensive findings, the purpose of this paper is to answer the question of how construction companies anchor the topic of sustainability in their strategic and operative management control practices. The implementation of sustainable business models and sustainability strategies requires proper management control instruments or mechanisms that support the transformation process or make it possible in the first place.

A qualitative content analysis based on deductive and inductive procedures was conducted. 39 sustainability reports published by the largest construction companies in the EU were examined.

Valuable insights are provided by showing which control instruments and mechanisms are used to improve corporate sustainability performance as well as how these are linked systematically. The results show that the focus is on strategic planning, cultural and administrative controls, while short-term targets, which could set out the path to achieving the long-term sustainability goals set, are often not reported. Strategic stakeholder theory and legitimacy theory provide explanations for the use of management control practices identified.

Previous studies often focus on selected single control practices and miss holistic approaches for investigating corporate sustainability in construction companies. Furthermore, theoretical perspectives with instrumental and socio/political views on corporate sustainability help us explain the control practices applied. Moreover, practitioners, standard setters and legislators can use the findings for sustainability management or for developing standards and legislation.

The retail industry is experiencing a marketing transformation through the use of augmented reality (AR), particularly in beauty products. Customer engagement and integration with digital tools are critical tools to enhance positive predisposition toward their platform leading to better visibility. This study explores how user experience (UX) and interactivity (INT) influence attitudes toward AR applications, with a focus on the moderating role of cognitive enjoyment (CGE). Data were collected through online platforms from 310 young female students and professionals familiar with AR technology in online shopping. The analysis was performed using partial least squares structural equation modeling (PLS-SEM), with constructs adapted from established scales to fit the study's needs. Results indicate that positive UXs and high levels of interaction significantly enhance attitudes toward AR apps. Furthermore, CGE was found to be a significant moderator, amplifying the effects of UX and interaction on user attitudes. These findings extend existing theories of technological acceptance to the use of AR in retail, suggesting that enhancing UX and interactivity, while emphasizing the enjoyable aspects of AR, can foster more positive attitudes and potentially increase adoption rates. This study contributes valuable insights into the strategic use of AR technology in retail environments, offering implications for designers and marketers aiming to enhance consumer engagement through innovative digital tools.

This chapter discusses the challenges and opportunities of integrating big data generated by contemporary museums into data ecology and data fabrics of smart cities. First, it exposes that smart cities could enhance their global reputation, visibility and image by building on closer collaborations with museums. Second, it demonstrates that museums in the 21st century have transformed into hyper-connected cultural hubs, spreading their reach and impact beyond their immediate urban locations. Finally, this chapter discusses creative approaches to data-curation mechanisms that stress the role of museums and cultural heritage sites in supplying data for a more strategic and proactive smart city co-design and management. Specifically, this chapter offers a three-dimensional framework for integrating heritage data in the design of smart city data ecosystems, which includes such components as Data Resources, Data Republics and Data Impacts. Data Resources stresses museum collections’ data and meta-data as a strategic resource to empower creative public data-curation practices to tell meaningful stories about the city and enhance place-making. Data Republics focuses on big data generated by visitors online or on-site as a foundation for evidence-based urban research, design and management, empowering more sustainable, safe and enjoyable tourism. Data Impacts details data-driven methodologies that museums could employ to measure public sentiment and opinion to offer new human-centred indicators to understand the performance of smart cities. This chapter shares a conceptual framework for repurposing museum data within a smart city data ecology to translate the current data excess into data intelligence.

This study aims to examine the influence of reward personalization on financing outcomes in the Industry 5.0 era, where reward-based crowdfunding meets the personalized needs of individuals.

The study utilizes a corpus of 218,822 crowdfunding projects and 1,276,786 reward options on Kickstarter to investigate the effect of reward personalization on investors’ willingness to participate in crowdfunding. The research draws on expectancy theory and employs quantitative and qualitative approaches to measure reward personalization. Quantitatively, the number of reward options is calculated by frequency; whereas text-mining techniques are implemented qualitatively to extract novelty, which serves as a proxy for innovation.

Findings indicate that reward personalization has an inverted U-shaped effect on investors’ willingness to participate, with investors in life-related projects having a stronger need for reward personalization than those interested in art-related projects. The pledge goal and reward text readability have an inverted U-shaped moderating effect on reward personalization from the perspective of reward expectations and reward instrumentality.

This study refines the application of expectancy theory to online financing, providing theoretical insight and practical guidance for crowdfunding platforms and financiers seeking to promote sustainable development through personalized innovation.

Attentional bias toward safety (ABS) is a positive safety cognitive ability that could encourage individuals to engage in proactive safety behaviors; however, there is a lack of systematic sorting out of the driving mechanism of ABS. This study aims to identify the influencing factors and underlying mechanisms of ABS among construction workers (CWs) in China, thereby enhancing the practice of construction safety management.

An exploratory study using the open-ended approach of grounded theory was conducted, including 25-depth interviews with CWs. Based on the interviews’ records, a scale for measuring CWs’ ABS was developed and an empirical study on 554 workers was performed. The ABS scale was validated in conjunction with an ABS modification training experiment published by the authors’ team, and the theoretical model of the driving mechanism of CWs’ ABS was obtained.

The results showed that the six driving factors of construction workers’ ABS include organizational factors, risk perception, safety awareness, safety investment, job stress and workers’ educational level. This paper also identified the critical approach to improving workers’ ABS as an effective intervention on risk perception. In addition, the ABS scale was found to be effective in measuring the ABS level.

This paper is of importance in reducing the unsafe behaviors of construction workers and preventing and promoting the sustainable development of construction enterprises.

Previous research on the impact of coopetition on innovation performance has provided contradictory results. Thus, this study aims to fill the gap by gathering data to explain the impact of coopetition on service innovation, considering the partners’ geographical proximity, innovation focus of the firm and cooperation with customers.

A logistic regression model is applied, and four hypotheses are tested using data from the Eurostat Community Innovation Survey 2018. The cross-sectional data set consists of 13,723 firms innovating services in selected European Union countries.

The findings verify the importance of coopetition for service innovation. However, the coopetitive partners’ nationality does not have a significant impact. Furthermore, the integration of customer cooperation with coopetition enhances service innovation. Hence, competing partners seem not to avoid cooperation in output functions near the customers. To coopete in innovation is risky, but the findings reveal that partners develop novel services through coopetition, intended to produce a higher return to compensate for the risks.

Presumably, this is one of the first large-scale studies examining the impact of coopetition on service innovation in a European context. This study indicates that coopetition amplifies service innovation, thus reducing the divergent views on the impact of coopetition on innovation performance. It responds to the request for more research on the context of coopetitive innovation by explaining how the firms’ geographical proximity, innovation focus and cooperation with customers impact their service innovation performance.

Given the challenging economic conditions and unstable employment situation in developing countries like Iran, sustainable development has become a primary focus. With coastlines along both the north and south, the growth and development of coastal and marine tourism could provide a solid foundation for generating stable and continuous income streams. This research investigates the factors that facilitate and hinder communication between local communities and key stakeholders in the development of coastal tourism.

The research community comprised local communities, tourists, and government officials involved in tourism processes. Participants were selected based on specific criteria through targeted sampling, resulting in a total of 17 samples. The primary research tool utilized was semi-structured interviews. Interview questions were developed within the frameworks of two theories: social exchange and social network theory. Data analysis was conducted using thematic analysis methods.

The results indicated that all the promoting and inhibiting factors can be categorized into four themes: economic, socio-cultural, environmental, and institutional governance. According to the analyzed data, the inhibiting factors in the environmental sector significantly outnumber the driving factors. In contrast, in the other sectors, the gap between the driving and inhibiting factors is smaller.

This research provides a novel perspective on advancing green evangelism. By strengthening emotional connections with the brand, green evangelism lays the groundwork for developing green respect and green credibility. This approach, which focuses on enhancing emotional bonds with the brand, contributes to the expansion of the green brands in developing countries. Therefore, instead of direct advertising for green brands, the focus should be on attracting key customers to form a community dedicated to the green brand.

Respectful co-production is one of the principles of ethical Indigenous research. However, this participatory approach has yet to be thoroughly discussed in social marketing. This study aims to provide reflections and recommendations for respectful co-production of research with Indigenous people in social marketing.

This study draws upon case study reflections and lessons learned from a research program respectfully co-produced with members of the Shipibo-Konibo Indigenous group of the Peruvian Amazon called the Comando Matico. The authors focus on the challenges and strategies for respectful co-production during different stages of the research process, including consultation, fieldwork and co-authoring articles. The authors foreground how their Comando Matico co researchers infused the research process with Shipibo knowledge.

The authors reflect on three recommendations concerning 1) respectful co-production, 2) power dynamics and 3) facilitating co-authorship. Social marketers interested in respectful co production of research with Indigenous people may need to adopt a flexible and practical approach that considers the characteristics of the context and Indigenous co-researchers.

This study contributes to the discussion about the importance of respectful co-production of research with Indigenous people to ensure it accounts for their needs and wants.