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This study aims to introduce and evaluate the COPULA framework, a construction project monitoring solution based on blockchain designed to address the inherent challenges of construction project monitoring and management. This research aims to enhance efficiency, transparency and trust within the dynamic and collaborative environment of the construction industry by leveraging the decentralized, secure and immutable nature of blockchain technology.

This paper employs a comprehensive approach encompassing the formulation of the COPULA model, the development of a digital solution using the ethereum blockchain and extensive testing to assess performance in terms of execution cost, time, integrity, immutability and security. A case analysis is conducted to demonstrate the practical application and benefits of blockchain technology in real-world construction project monitoring scenarios.

The findings reveal that the COPULA framework effectively addresses critical issues such as centralization, privacy and security vulnerabilities in construction project management. It facilitates seamless data exchange among stakeholders, ensuring real-time transparency and the creation of a tamper-proof communication channel. The framework demonstrates the potential to significantly enhance project efficiency and foster trust among all parties involved.

While the study provides promising insights into the application of blockchain technology in construction project monitoring, future research could explore the integration of COPULA with existing project management methodologies to broaden its applicability and impact. Further investigations into the solution’s scalability and adaptation to various construction project types and sizes are also suggested.

This research offers a comprehensive blockchain solution specifically tailored for the construction industry. Unlike prior studies focusing on theoretical aspects, this paper presents a practical, end-to-end solution encompassing model formulation, digital implementation, proof-of-concept testing and validation analysis. The COPULA framework marks a significant advancement in the digital transformation of construction project monitoring, providing a novel approach to overcoming longstanding industry challenges.

This paper aims to provide a multi-objective optimization problem in design for manufacturing (DFM) approach for fused deposition modeling (FDM). This method considers the manufacturing criteria and constraints during the design by selecting the best manufacturing parameters to guide the designer and manufacturer in fabrication with FDM.

Topological optimization and bi-objective optimization problems are suggested to complete the DFM approach for design for additive manufacturing (DFAM) to define a product. Topological optimization allows the shape improvement of the product through a material distribution for weight gain based on the desired mechanical behavior. The bi-objective optimization problem plays an important role to evaluate the manufacturability by quantification and optimization of the manufacturing criteria and constraint simultaneously. Actually, it optimizes the production time, required material regarding surface quality and mechanical properties of the product because of two significant parameters as layer thickness and part orientation.

A comprehensive analysis of the existing DFAM approaches illustrates that these approaches are not developed sufficiently in terms of manufacturability evaluation in quantification and optimization levels. There is no approach that investigates the AM criteria and constraints simultaneously. It is necessary to provide a decision-making tool for the designers and manufacturers to lead to better design and manufacturing regarding the different AM characteristics.

To assess the efficiency of this approach, a wheel spindle is considered as a case study which shows how this method is capable to find the best design and manufacturing solutions.

A multi-criteria decision-making approach as the main contribution is developed to analyze FDM technology and its attributes, criteria and drawbacks. It completes the DFAM approach for FDM through a bi-objective optimization problem which deals with finding the best manufacturing parameters by optimizing production time and material mass because of the product mechanical properties and surface roughness.

Customers' participation in co-creation is a prerequisite for co-creation success. To identify customer co-creators, research has shown a recent interest in the role of personality traits as predictors of customers' engagement in co-creation. However, the empirical results regarding the direction and significance of these relationships have been inconclusive. This study builds on the five-factor theory (FFT) of personality to enhance one's understanding of the nomological network that determines the relationship between personality traits and customers' willingness to co-create (WCC).

Based on a large-scale empirical study on technology-based services (TBSs) in healthcare (n = 563), the authors empirically investigate the role of the five-factor model (FFM), innate innovativeness (INI) and enduring involvement (EI) in predicting customers' WCC using partial least squares structural equation modeling (PLS-SEM).

The authors’ empirical findings show that depending on the configurational setting of the personality traits tied to the FFM, INI and EI evolve as mediators in determining customers' WCC.

This study is the first to introduce the FFT of personality into co-creation research. The results of this paper shed light on the relationships between personality traits, characteristic adaptations and customers' WCC.

Augmented reality (AR), an innovative interactive technology that can realize the synchronization and integration of virtual and reality, has been widely used in commodity displays and museum exhibitions. However, few studies have examined the effectiveness of AR-based product display in the context of historically cultural and creative product (HCCP) marketing. This study aims to focus on whether and how the application of AR technology to the HCCP display will influence consumers’ product evaluation.

This study uses three experiments to examine the impact of an AR-based product display on consumers’ evaluation of HCCPs. In experiments 1 and 2, the researchers compared the consumer’s evaluation of HCCPs under the AR-based product display condition and two other display conditions (i.e. 3D model display and photographic display) and examined the mediating role of perceived authenticity in the evaluation process. Experiment 3 tested the moderating effect of the availability of artistic detail information on weakening the negative impact of AR-based product display on the evaluation of HCCPs.

This study found that using AR-based displays harms consumers’ evaluation of HCCPs by impairing perceived authenticity. The spatial-temporal cues of real-time circumstances impede consumers’ processing of the historical attributes of the product. The dynamic AR-based display makes it hard for consumers to build the product’s connection with historical prototypes. Thus, consumers’ perception of the authenticity of HCCP is reduced. Providing artistic details during the presentation makes artistic attributes more prominent than historical attributes, allowing consumers to pay more attention to the sensory experience caused by the artistic design instead of the spatial-temporal cues of the product. At this point, the negative impact of AR-based product display on the evaluation of HCCPs will be attenuated.

First, this study shows the adverse effects of AR-based product displays in the field of HCCP marketing. AR-based product display degrades product evaluations when the displayed product has historical attributes. Second, this study extends the perceived authenticity theory to the technological experience context and establishes a theoretical connection with the AR literature. Third, this study explores the multiple characteristics of HCCPs. The historical attributes are the central attribute of HCCPs, leading consumers to perceive lower sense of authenticity due to the conflict with real-time spatiotemporal cues risen from the AR-based display. However, the artistic attributes, which are beyond the limitation of time and space, will attenuate this conflict when they become prominent.

The purpose of this paper is to investigate the effect of patriotism, nostalgia, drama and excitement of the game, and interest in star players to predict fans’ intentions to follow one-day cricket in near future. Furthermore, social influence is positioned as a moderator to enrich the understanding of fans’ motives to follow one-day cricket.

The data are collected by means of a cross-sectional survey conducted among 609 university students enroled in Pakistani and Sri Lankan universities. The collected data are analysed by employing a structural equation modelling procedures to reach meaningful conclusions.

The variables of patriotism, nostalgic associations, excitement and drama of the game, and interest in star players are found to positively relate to the fans’ intentions to follow one-day cricket in near future. However, the moderating effects of social influence only moderated with interest in star players, which has practical and theoretical implications.

The study is an original contribution to the field of sports marketing. The proposed relationships are based on social identity theory paradigm. Furthermore, the moderating effects of social influence and a multi-country data are unique to this study. Finally, in previous studies, football fans’ motivation and test-match cricket fans’ motivations are studied, hence one-day cricket as a context is also unique to this study.

Since the limited growth of enterprises has been identified as a deliberate choice of women entrepreneurs, the purpose of this paper is to illustrate how the institutional environment of an entrepreneurial ecosystem (EE) fosters the gender gap in entrepreneurial growth intention. The mediating role of the perceived institutional environment in the gender effect on entrepreneurial growth intention is tested in the Chinese context. As individuals’ cognitions are usually influenced by their cultural orientations, the gender difference in perceptions of the institutional environment is considered to be contingent on entrepreneurs’ self-construal.

Using a multiregional sample of 206 Chinese entrepreneurs who completed the questionnaire, the study obtained results by adopting a structural equation modelling analysis with a partial least squares approach.

There are significant gender gaps in perceptions of the institutional environment and growth intention among Chinese entrepreneurs. Due to their limited political ties and lower legitimacy in economic activities in the country, Chinese women entrepreneurs have more negative perceptions of the regulative and cognitive institutional environment than their male counterparts, which accounts for the lack of growth ambition among Chinese women entrepreneurs. Independent self-construal enlarges the difference in environmental perceptions between male and female entrepreneurs.

This research enriches the discussion in the emerging area of EEs by adequately responding to the highlighted target to advance ambitious entrepreneurship and offering an interpretation of its evolutionary thinking. Given the increasing calls for a focus on high-growth women’s entrepreneurship, this study provides an explanation for how the institutional environment engenders the absence of women in growth-oriented entrepreneurial activities. It also uncovers the overlooked deficiency in institutional practice by highlighting the gender inequality in the implementation process of entrepreneurial support policies and the distribution of entrepreneurial capabilities in society.

Model-assisted probability of detection (MAPOD) is an important approach used as part of assessing the reliability of nondestructive testing systems. The purpose of this paper is to apply the polynomial chaos-based Kriging (PCK) metamodeling method to MAPOD for the first time to enable efficient uncertainty propagation, which is currently a major bottleneck when using accurate physics-based models.

In this paper, the state-of-the-art Kriging, polynomial chaos expansions (PCE) and PCK are applied to “a^ vs a”-based MAPOD of ultrasonic testing (UT) benchmark problems. In particular, Kriging interpolation matches the observations well, while PCE is capable of capturing the global trend accurately. The proposed UP approach for MAPOD using PCK adopts the PCE bases as the trend function of the universal Kriging model, aiming at combining advantages of both metamodels.

To reach a pre-set accuracy threshold, the PCK method requires 50 per cent fewer training points than the PCE method, and around one order of magnitude fewer than Kriging for the test cases considered. The relative differences on the key MAPOD metrics compared with those from the physics-based models are controlled within 1 per cent.

The contributions of this work are the first application of PCK metamodel for MAPOD analysis, the first comparison between PCK with the current state-of-the-art metamodels for MAPOD and new MAPOD results for the UT benchmark cases.

Analyzing sport fans' emotions has attracted much attention and offered important implications for research on sport consumer behavior. As such, diverse emotional factors have been considered to understand their behavioral responses. However, the concept of nostalgia has been examined to a lesser extent in the context of sport. Thus, this study investigated the role of nostalgia and its relationships with place attachment and revisit intention. The frequency of past experience was used as a moderator in this study.

Data collection was performed during six professional baseball games in South Korea, and 461 responses were collected from sport tourists. This study tested the reliability and validity of the measurement model and examined the relationships between constructs.

Results showed that nostalgia positively affected place attachment and revisit intention; place attachment played a mediating role between nostalgia and revisit intention. In addition, this study found that the relationship between nostalgia and place attachment was moderated by past experience.

This study identified how nostalgia can drive the development of a bond between place and sport fans, encouraging them to keep returning to the place where they are attached.

This paper aims to investigate the consequences of the heritage experience in brand museums on the consumer–brand relationship. By highlighting its heritage within a museum, the brand proposes a specific experience that deserves attention because it is based on memory and communal identity, thus creating or strengthening a relationship with consumers.

Ethnographic case studies were conducted through direct observation and extensive interviews with 72 visitors at two brand museums, the Fallot Mustard Mill and the House of the Laughing Cow.

The results highlight the emergence/strengthening of the relationship between consumers and the brand through the development of intimacy with the brand and the emergence of supportive behaviors toward the brand in the form of commercial support, ambassadorship and volunteering.

By characterizing and articulating the different relational consequences of visiting a brand museum, this research contributes to the literature dedicated to heritage experiences in consumption contexts and to the literature dedicated to consumer–brand relationships in servicescapes.

The study shows the necessity of grounding “heritage” in the physical setting of the brand museum to create a meaningful experience for visitors and, in turn, a deep relationship. Managers should treat brand museums as a relational tool in the marketing strategy of the brand and approach them from the perspective of long-term profitability.

While the literature has examined the spectacular and esthetic experiences brand museums offer, this study is the first to characterize the heritage experience and to document its consequences in terms of the consumer–brand relationship.

There are many investigations in design methodologies, but there are also divergences and convergences as there are so many points of view. This study aims to evaluate to corroborate and deepen other researchers’ findings, dissipate divergences and provide directing to future work on the subject from a methodological and convergent perspective.

This study analyzes the previous reviews (about 15 reviews) and based on the consensus and the classifications provided by these authors, a significant sample of research is analyzed in the design for additive manufacturing (DFAM) theme (approximately 80 articles until June of 2017 and approximately 280–300 articles until February of 2019) through descriptive statistics, to corroborate and deepen the findings of other researchers.

Throughout this work, this paper found statistics indicating that the main areas studied are: multiple objective optimizations, execution of the design, general DFAM and DFAM for functional performance. Among the main conclusions: there is a lack of innovation in the products developed with the methodologies, there is a lack of exhaustivity in the methodologies, there are few efforts to include environmental aspects in the methodologies, many of the methods include economic and cost evaluation, but are not very explicit and broad (sustainability evaluation), it is necessary to consider a greater variety of functions, among other conclusions

The novelty in this study is the methodology. It is very objective, comprehensive and quantitative. The starting point is not the case studies nor the qualitative criteria, but the figures and quantities of methodologies. The main contribution of this review article is to guide future work on the subject from a methodological and convergent perspective and this article provides a broad database with articles containing information on many issues to make decisions: design methodology; optimization; processes, selection of parts and materials; cost and product management; mechanical, electrical and thermal properties; health and environmental impact, etc.