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Adhesively bonded joints are used in many fields, especially in the automotive, marine, aviation, defense and outdoor industries. Adhesive bonding offers advantages over traditional mechanical methods, including the ability to join diverse materials, even load distribution and efficient thermal-electrical insulation. This study aims to investigate the mechanical properties of adhesively bonded joints, focusing on adherends produced with auxetic and flat surfaces adhered with varying adhesive thicknesses.

The research uses three-dimensional (3D)-printed materials, polyethylene terephthalate glycol and polylactic acid, and two adhesive types with ductile and brittle properties for single lap joints, analyzing their mechanical performance through tensile testing. The adhesion region of one of these adherends was formed with a flat surface and the other with an auxetic surface. Adhesively bonded joints were produced with 0.2, 0.3 and 0.4 mm bonding thickness.

Results reveal that auxetic adherends exhibit higher strength compared to flat surfaces. Interestingly, the strength of ductile adhesives in auxetic bonded joints increases with adhesive thickness, while brittle adhesive strength decreases with thicker auxetic bonds. Moreover, the auxetic structure displays reduced elongation under comparable force.

The findings emphasize the intricate interplay between adhesive type, bonded surface configuration of adherend and bonding thickness, crucial for understanding the mechanical behavior of adhesively bonded joints in the context of 3D-printed materials.

Temperature is a critical factor in the fused filament fabrication (FFF) process, which affects the flow behavior and adhesion of the melted filament and the mechanical properties of the final object. Therefore, modeling and predicting temperature in FFF is crucial for achieving high-quality prints, repeatability, process control and failure prediction. This study aims to investigate the melt deposition and temperature profile in FFF both numerically and experimentally using different Acrylonitrile Butadiene Styrene single-strand specimens. The process parameters, including layer thickness, nozzle temperature and build platform temperature, were varied.

COMSOL Multiphysics software was used to perform numerical simulations of fluid flow and heat transfer for the printed strands. The polymer melt/air interface was tracked using the coupling of continuity equation, equation of motion and the level set equation, and the heat transfer equation was used to simulate the temperature distribution in the deposited strand.

The numerical results show that increasing the nozzle temperature or layer thickness leads to an increase in temperature at points close to the nozzle, but the bed temperature is the main determinant of the overall layer temperature in low-thickness strands. The experimental temperature profile of the deposited strand was measured using an infrared (IR) thermal imager to validate the numerical results. The comparison between simulation and observed temperature at different points showed that the numerical model accurately predicts heat transfer in the three-dimensional (3D) printing of a single-strand under different conditions. Finally, a parametric analysis was performed to investigate the effect of selected parameters on the thermal history of the printed strand.

The numerical results show that increasing the nozzle temperature or layer thickness leads to an increase in temperature at points close to the nozzle, but the bed temperature is the main determinant of the overall layer temperature in low-thickness strands. The experimental temperature profile of the deposited strand was measured using an IR thermal imager to validate the numerical results. The comparison between simulation and observed temperature at different points showed that the numerical model accurately predicts heat transfer in the 3D printing of a single-strand under different conditions. Finally, a parametric analysis was performed to investigate the effect of selected parameters on the thermal history of the printed strand.

The paper aims to clarify the relationship between problem-solving skills and socialization of first-year university students and propose talent management strategies for university management, course instructors and administrators. Thus, this paper identifies three student clusters among the first-year bachelor students. This paper aims to propose a talent management framework and makes recommendations for course instructors and administrators.

In this paper, a Simulated Work Experience is applied to collect data on problem-solving skills and demographics of first-year business students. Based on the anonymous competency and demographic data of 546 students, 3 clusters were identified with a hierarchical K-means clustering method and linked with talent management and curriculum design strategies.

The paper provides empirical insights about how the demographic background of the first-year students affects the students' problem-solving skills. This paper identifies three clusters – laggers, unpolished diamonds and drivers – and proposes a talent management framework to support the students' personal and professional development. The proposed talent management framework is based on the direction of upskilling and type of talent management incentives and outlines four distinct categories: extracurricular reward, tutoring and catching up, perform-or-punish and up-or-out systems. This paper makes suggestions to course administrators and instructors how to incorporate talent management and competency mapping aspects into the curriculum and syllabus design activities.

The research is limited to problem-solving skills and focused only on first-year business students.

The paper includes practical implications for business school management, course administrators and instructors about competency mapping, talent management strategies, curriculum and syllabus design.

The research is based on the competency mapping of 546 first-year students at Budapest Business School. The data were collected via a Simulated Work Experience, where the students were participating in a virtual business project.

The purpose of this paper is to examine the supervening loss of inter-organisational trust in long-term commercial contracts. The underlying research question is whether contract law – the legal institution regulating economic exchanges – should intervene and enable a party to a long-term commercial contract to extricate itself from a situation where a relationship of trust has broken down irretrievably.

This paper uses doctrinal methodology and theoretical conceptualisation to answer the underlying research question. The legal instrument chosen for analysis purposes is the UNIDROIT Principles of International Commercial Contracts. This paper also draws on extant literature on inter-organisational trust (including conceptual and empirical studies) to support the arguments and propositions. Furthermore, this study proceeds to assess the substantive justifiability of the proposed remedial measure using four normative values: legal certainty and predictability, protection of the performance interest, economic efficiency and the preservation of the relation.

The central argument put forward in this paper is the reformulation of draft Article 6.3.1 proposed by the UNIDROIT Working Group on Long-Term Contracts, which confers a novel right to terminate for a compelling reason. This paper presents a multidimensional model of inter-organisational trust that would serve as the conceptual framework for the proposed reformulation of the provision and establishes a coherent juridical basis for the legal solution that would accord with the Principles of International Commercial Contracts’ general remedial scheme. As for the normative assessment, this paper demonstrates that the proposed remedial measure would significantly promote efficient outcomes and positively serve the norms of legal certainty, protection of the performance interest and the preservation of the relation.

This paper addresses the lacuna in current legal scholarship in relation to the adverse socio-economic effects following trust violation and deterioration in inter-organisational relationships. Additionally, the propositions and findings should contribute to the workings of the UNIDROIT in adopting new rules and principles that would serve the special requirements of cross-border trade.

The purpose of this study is to analyze the horizontal expansion of Burayu Town between 1990 and 2020. The study typically acts as a baseline for integrated spatial planning in small- and medium-sized towns, which will help to plan sustainable utilization of land.

Landsat5-TM, Landsat7 ETM+, Landsat5 TM and Landsat8 OLI were used in the study, along with other auxiliary data. The LULC map classifications were generated using the Random Forest Package from the Comprehensive R Archive Network. Post-classification, spatial metrics, and per capita land consumption rate were used to understand the manner and rate of expansion of Burayu Town. Focus group discussions and key informant interviews were also used to validate land use classes through triangulation.

The study found that the built-up area was the most dynamic LULC category (85.1%) as it increased by over 4,000 ha between 1990 and 2020. Furthermore, population increase did not result in density increase as per capita land consumption increased from 0.024 to 0.040 during the same period.

As a result of financial limitations, there were no high-resolution satellite images available, making it challenging to pinpoint the truth as it is on the ground. Including senior citizens in the study region allowed this study to overcome these restrictions and detect every type of land use and cover.

Data on urban growth are useful for planning land uses, estimating growth rates and advising the government on how best to use land. This can be achieved by monitoring and reviewing development plans using satellite imaging data and GIS tools.

The use of Random Forest for image classification and the employment of local knowledge to validate the accuracy of land cover classification is a novel approach to properly customize remote sensing applications.

The purpose of this study was to explore how my gradually growing teacher knowledge has changed and shaped a new interpretation of the same interview data through those years of learning and teaching in different cultural contexts, and furthermore, to deeply understand how the shift of teacher identity impacts the comprehension of Schwab's (1973) commonplaces theories. Through the interview data, I shared students' and teachers' experiences in a new culture and lay alongside my own stories as an international student, a teacher, and a researcher. This research reveals the perceived future needs consist of teachers' higher English proficiency, more classes on professional communication skills courses, more opportunities for professional instructors' professional development, more ESL teacher assistance, scaffolded instruction within mainstream classes, and a better educational atmosphere. The investigation process itself was important but more important was whether or not the discussions and results provided useful information to the community. Having an overall outlook of commonplaces is as essential as the curriculum design. This dialectical shift caused me to investigate the balance among Schwab's commonplaces and the findings will contribute to the future developments in curriculum design as a researcher. Upon reflection, I utilized this research by investigating the equilibrium between the four common places and the current curriculum as well as comparing all the stakeholders' perspectives to the common places identified within the target curriculum.

In this chapter, the authors make the case that preserving and curating knowledge for the future involves more than changing methods and tactics or extending our current applications and technology to support knowledge capital. It means changing the way we think about the future. It means envisioning multiple futures where various elements may be known or unknown – a four-future quadrant. First, the authors explain what it means to think strategically in multiple known and unknown futures. Next, the chapter presents ideas for strategic thinking about future knowledge preservation and curation. Finally, the authors consider using the four futures to develop a flexible and relevant knowledge preservation and curation strategy.

While the spatial dimensions of augmented reality (AR) have received significant attention in the marketing literature, to date, there has been less consideration of its temporal dimensions. This paper aims to theorise digital timework through AR to understand a new form of consumption experience that offers short-lived, immersive forms of mundane, marketer-led escape from everyday life.

The authors draw upon Casey’s phenomenological work to explore the emergence of new dynamics of temporalisation through digitised play. An illustrative case study using AR shows how consumers use this temporalisation to find stability and comfort through projecting backwards (remembering) and forwards (imagining) in their lives.

The proliferation of novel digital technologies and platforms has radically transformed consumption experiences as the boundaries between the physical and the virtual, fantasy and reality and play and work have become increasingly blurred. The findings show how temporary escape is carved out within digital space and time, where controlled imaginings provide consumers with an illusion of control over their lives as they re-establish cohesion in a ruptured sense of time.

The authors consider the more critical implications of the offloading capacity of AR, which they show does not prevent cognitive processes such as imagination and remembering but rather puts limits on them. The authors show that these more short-lived, everyday types of digitised escape do not allow for an escape from the structures of everyday life within the market, as much of the previous literature suggests.

The authors argue that corporations need to reflect upon the potential threats of immersive technologies such as AR in harming consumer escapism and take these into serious consideration as part of their strategic experiential design strategies to avoid leading to detrimental effects upon consumer well-being. More nuanced conceptualisations are required to unpack the antecedents of limiting people’s imagination and potentially limiting the fully fledged escape that consumers might desire.

Prior work has conceptualised AR as offloading the need for imagination by making the absent present. The authors critically unpack the implications of this for a more fluid understanding of the temporal logics and limits of consumer escapism.

Are franking credit balances priced? This paper aims to investigate the valuation of franking credit balances via a determinant analysis and value relevance analysis.

The determinant analysis examines the factors that contribute to the increasing cumulative level of franking credit balances. Value relevance studies explore whether franking credit balances are priced in the market.

The results provide strong evidence of a size effect that the level of franking credit balances increases with firm size and weak evidence of an international focus effect that the level of franking credit balances increases with international ownership. They also find an individual dividend clientele effect that the level of franking credit balances decreases with individual ownership. They find significant evidence that franking credit balances are priced in the market. One dollar of franking credit is worth 1.4 dollars in firm value. That franking balances are capitalized at more than their face value suggests that franking credits signal firms' future dividend policy. They also find that the market valuation of franking balances increases with firm size but decreases with international focus.

This study provides direct evidence that franking credit balances are capitalized into equity prices. In the determinant analysis, this paper improves Heaney's (2009) model by using the percentage of international ownership as the proxy of international focus, thus addressing the limitation of his measure. In the value relevance tests, the study uses a modified model that includes log-transformation to reduce the skewness of variables based on Tanza's (2014) value relevance model. Moreover, the study suggests that the market valuation of franking credit balances increases with firm size, which contradicts Heaney's (2009) findings.