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This study aims to investigate the tensile strength and compressive behaviour of two thermoplastic polyurethane (TPU) filaments produced via material extrusion (ME): TPU 95A and Reciflex (recycled).

Tensile strength and compressive behaviour are assessed. The influence of extrusion temperature and infill pattern on these properties is examined, supported by thermal characterization, surface morphology analyses and a comprehensive comparison with existing literature. An analytical method is presented for estimating the solid ratio of ME parts, using an ellipse model to describe the material bead geometry.

Reciflex is generally stiffer than TPU 95A in both tensile and compressive tests. Specimens loaded orthogonally in compression tests exhibited stiffer behaviour than those loaded parallelly, and higher tensile properties were typically observed when material beads were deposited parallel to the load direction. Unlike TPU 95A, Reciflex is sensitive to extrusion temperature variations.

By comparing recycled and virgin TPU filaments, this research addresses waste management concerns and advocates for environmentally sustainable production practices in the broadly used filament/based ME technique.

This study provides an extensive comparison of computed values with existing literature, offering insights into how different materials may behave under similar processing conditions. Given ongoing challenges in controlling melt flow during extrusion, these results may offer insights for optimizing the production of ME parts made with thermoplastic elastomers.

The purpose of this paper is to examine how a clinical interview protocol with failure artifact scenarios can capture changes in high school students’ explanations of troubleshooting processes in physical computing activities. The authors focus on physical computing, as finding and fixing hardware and software bugs is a highly contextual practice that involves multiple interconnected domains and skills.

This paper developed and piloted a “failure artifact scenarios” clinical interview protocol. Youth were presented with buggy physical computing projects over video calls and asked for suggestions on how to fix them without having access to the actual project or its code. Authors applied this clinical interview protocol before and after an eight-week-long physical computing (more specifically, electronic textiles) unit. They analyzed matching pre- and post-interviews from 18 students at four different schools.

The findings demonstrate how the protocol can capture change in students’ thinking about troubleshooting by eliciting students’ explanations of specificity of domain knowledge of problems, multimodality of physical computing, iterative testing of failure artifact scenarios and concreteness of troubleshooting and problem-solving processes.

Beyond tests and surveys used to assess debugging, which traditionally focus on correctness or student beliefs, the “failure artifact scenarios” clinical interview protocol reveals student troubleshooting-related thinking processes when encountering buggy projects. As an assessment tool, it may be useful to evaluate the change and development of students’ abilities over time.

This study aims to assess the relationships between limit parametric settings of in-nozzle impregnation additive manufacturing, namely, nozzle temperature and layer height, on the micromorphology and induced mechanical properties of continuous flax yarns-reinforced biocomposites.

The additively manufactured biocomposites with different printing parameters were characterized by X-ray microcomputed tomography and tensile testing to link the process–structure–properties relationships regarding the internal morphologies of yarns, matrix and porosities and tensile properties.

Several types of morphology were defined regarding fiber, void, raster and interfaces. The results showed a competition between porosity development, coating effect and variation in fiber volume fraction on the biocomposite quality and mechanical performance when simultaneously varying the layer height and the temperature due to rheology-related phenomena and process-induced defects.

To the best of the authors’ knowledge, no previous study has been carried out on the relation between the internal micromorphologies in three directions of continuous biocomposites manufactured by in-nozzle impregnation additive manufacturing and the limit printing parameters. The findings are thought to help manufacturers master this technology for high-end applications.

This article aims to examine the pro-poor innovation diffusion models adopted by university intermediate organizations and their stakeholders at the bottom of the pyramid.

The study employed a qualitative case study approach. Between April 2021 and May 2022, 60 semi-structured interviews were conducted online and telephonically.

The study identified various models for promoting the diffusion of pro-poor innovations through university intermediary organizations (non-corporate organizations) and their stakeholders at the bottom of the pyramid. The study also identifies the priority stakeholders and classifies them based on the attributes they might possess.

Other developing economies can consider adopting the diffusion model outlined in our study as a potential working hypothesis to improve the productivity and quality of life for rural poor employed in the informal sector. Such studies advance our understanding of possible organizational methods and processes for diffusing innovation at the bottom of the pyramid.

The study brings a new perspective on how non-corporate organizations, such as university intermediaries, are involved in pro-poor innovation diffusion at the bottom of the pyramid. Additionally, the study brings valuable insights into how stakeholders’ theory can be utilized towards pro-poor innovation diffusion at the bottom of the pyramid.

The purpose of this study is to analyze the impact of energy development on industrialization in African economies from 1990 to 2017. It aims to assess how access to electricity, energy use and overall energy development contribute to industrial growth. By using panel data analysis and advanced econometric techniques such as fixed effects, two-stage least squares (2SLS) and system-GMM estimation, this study seeks to provide empirical evidence and insights into the complex dynamics between energy policies and industrialization outcomes. The findings are intended to inform policymakers and stakeholders on effective strategies to promote sustainable industrial development in the region.

This study uses a quantitative approach using panel data analysis spanning 1990–2017 from various sources. It uses fixed effects, 2SLS and system-GMM estimation methods to investigate the nuanced relationship between energy development and industrialization in African economies. This comprehensive methodology facilitates a robust examination of how different dimensions of energy development influence industrialization outcomes, aiming to fill gaps in existing literature and provide insights for policy formulation and implementation.

The findings reveal that energy development significantly enhances industrialization in African economies. Access to electricity and energy use both positively impact industrial growth, with access to electricity showing a stronger influence. This study underscores the critical role of energy infrastructure in fostering industrial expansion and economic development. Moreover, robust econometric methods confirm these relationships across various specifications, highlighting the importance of tailored energy policies to sustain industrialization efforts in Africa. These findings contribute empirical insights to the literature and provide actionable recommendations for policymakers aiming to enhance energy access and promote sustainable industrial development in the region.

This study contributes to the literature by offering new insights into the relationship between energy development and industrialization in African economies. By using advanced econometric techniques and focusing on nuanced dimensions of energy access and use, it addresses gaps in previous research. The findings underscore the significance of energy infrastructure for industrial growth, highlighting policy implications for sustainable development in Africa. This research adds value by providing empirical evidence that informs strategies to enhance energy efficiency, expand access to electricity and promote industrialization, thus contributing to broader discussions on economic development and energy policy in the region.

Agriculture innovation systems (AIS) examine the complex socio-technical and institutional aspects affecting sustainable agriculture. However, it is predominantly constrained to the formal sector activities in the high-income countries (HICs). The informal sector actors play a major role in the agricultural sector of low- and middle-income countries (LMICs), such as India, by innovating and disseminating grassroots innovations (GI). This study aims to explore the role of different GI, both by the informal and formal sectors, within an emerging AIS focused on seabuckthorn in Ladakh, India.

This study used a qualitative methodology, using semi-structured interviews and focused group discussions to gather data from the stakeholders involved in seabuckthorn value chain. The data was analysed using the AIS framework’sa priori themes and was validated through data triangulation with secondary sources.

This study reveals the existence of GI, by both the formal and informal sector actors, and their complex interaction within the seabuckthorn value chain. It highlights the importance of co-existence of these GI to make it a sustainable seabuckthorn AIS.

This study offers noteworthy perspectives for governments, policymakers and agricultural practitioners with respect to the assimilation of GI into AIS. These insights could help improve agricultural sustainability and viability, particularly in LMICs where the informal sector plays a significant role.

To the best of the authors’ knowledge, this study is one of the first to explore the role of GI within AIS and opens up research avenues for further inquiry in both LMICs and HICs.

Across Africa, disruptive digital frugal innovations (DDFIs) are evolving as potent catalysts for sustainable development. This research explored into the complex interplay between DDFI and sustainability, moving beyond traditional narratives of mere affordability to discover its potential for transformative change across environmental, social, and economic dimensions. This chapter sought to firstly unravel the multifaceted relationships between DDFI and Sustainable Development Goals (SDGs) in diverse African contexts; secondly it examined the socioeconomic and environmental impacts of DDFI across key sectors, thus healthcare and agriculture, identifying both positive contributions and unintended consequences. Diffusion of innovation theory formed the lens of the study; qualitative data were analyzed according to emerging themes. Research findings revealed that implementation of DDFI exhibits immense potential to address critical sustainability challenges, empowering communities through social inclusion, improve access to essential services, and empower marginalized communities to actively participate in development processes. Data privacy, intellectual property rights, and potential exploitation of communities were some of the challenges noted which require careful consideration and responsible innovation practices. The study recommends to foster inclusive cocreation processes that involve local communities in needs assessment, design, and implementation of DDFI solutions and bridge the digital divide through investing in robust infrastructure development, digital literacy programs, and affordable access to technology.

This study aims to explore the association of board quality and firm innovation on climate risk disclosure in the context of large listed companies in India. It builds upon the framework developed by the stakeholder theory and the legitimacy theory to examine the association between the key variables of the study.

The climate risk disclosure is measured through content analysis of the annual reports of the respective companies. A panel data framework analyzes the relationship between board quality, firm innovation and climate risk disclosure.

The findings indicate a gradual increase in climate risk disclosure throughout the sample period. This study also finds that certain board characteristics and investment in innovation are significant determinants of a firm’s approach toward identifying and mitigating risks arising from rapid climate change. This study has implications for practitioners, policymakers and academicians who strive toward creating resilient and sustainable organizations.

This study is relevant for practitioners as it identifies an increasing trend in the identification and reporting of climate risk disclosure in the sample firms. This would be beneficial for managers and other stakeholders of the organizations who would be interested in the mitigation of climate risk. The organizational leadership may identify key parameters of their firms, which helps them prepare against the adverse impact of climate change on business.

To the best of the authors’ knowledge, this is the first study to evaluate climate risk disclosure practices of large listed companies in India. This study highlights how large Indian companies are developing an overall approach for identifying and mitigating risks associated with rapid climate change, which has not been conducted for any economy.

This paper contributes to the literature on exchange rate exposure by assessing the extent to which exchange rate risk is priced in both African emerging and developed equity markets. It examines whether this risk leads to a premium or discount in market returns. The study uses the United States and South Africa as representatives for developed and emerging economies, respectively.

The paper employs two-factor and three-factor conditional CAPM approaches with a two-stage estimation process. In the first stage, time-varying risk exposures are derived using the ICAPM model estimated through rolling regression. In the second stage, the impact of these risk exposures, particularly exchange rate risk exposure, is assessed on stock market returns using Generalized Linear Model (GLM) regression.

Unlike previous studies that suggest exchange rate risk is not necessarily priced in the equity market due to hedging, this paper finds that exchange rate risk is indeed priced in both African and developed equity markets, albeit to different extents. The African equity market demands a higher premium compared to the developed equity market.

The findings of this paper have significant implications for policymakers, asset managers, and investors. They provide insights for making more informed decisions, implementing effective risk management strategies, and fostering a more stable and appealing investment environment.

To the best of our knowledge, this is the first study to evaluate the degree of exchange rate exposure in environments characterized by high currency volatility versus those with low volatility, all within the context of the conditional ICAPM model.

Many studies have shown that from a theoretical and empirical point of view, downside risk-based measures of risk are better than the traditional ones. Despite academic appeal and practical implications, downside risk has not been thoroughly examined in markets outside developed country markets. Using downside beta as a measure of downside risk, this study examines the relationship between downside beta and stock returns in Indian equity market, an emerging market with unique investor, asset and market characteristics.

This is an empirical study done by using ranked portfolio return analysis and regression analysis methodologies.

The study results show that downside risk, as measured by downside beta, is distinctly priced in the Indian equity market. There is a direct positive relationship between downside beta and contemporaneous realized returns, indicating a premium for downside risk. Downside risk carries a higher weightage than upside potential in the aggregate return of the stock portfolios. Downside beta is a better measure of systematic risk than conventional market beta and downside coskewness.

The empirical results support the adoption of downside beta in practice and provide a case for replacing traditional beta with downside beta in asset pricing applications, trading and investment strategies, and capital allocation decision-making.

This is one of the first in-depth studies examining downside beta in Indian equity markets using a broad sample of individual stock returns covering a wide time range of 22 years. To the best of our knowledge, this study is the first one to compare downside beta and downside coskewness using individual stock data from the Indian equity market.