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Liquidity is a primary concern for businesses. The purpose of this study is to understand the impact of the collaborative liquidity management within the supply chain. Larger firms prescribe favorable trade terms in the transactions and do not engage in value chain vision sharing with their smaller counterparts. Smaller firms encounter challenges with liquidity and often face the risk of bankruptcy. Such practice can threaten the entire supply chain. Instead, collaborative liquidity management can offer a win–win scenario to both parties. In that case, what are the benefits of implementing a collaborative liquidity management approach across the value chain, and what is the reward?

The authors selected key liquidity metrics that matter most to the organizations from a cohort of 307 firms from the Indian automobile industry for 10 years (2012–2021). The authors classified the businesses into five distinct revenue-based categories. They emphasized the importance of expanded supply chain finance adoption and demonstrated how collaborative liquidity management strategies boosted return on assets.

The research confirms the tangible benefits of greater adoption of supply chain finance in realizing supply chain members’ shared vision. The authors challenged the age-old practice of power-based relationships in the supply chain. They recommended a win–win scenario through practical cooperation and increased adoption of SCF by value chain members.

Existing research predominantly focuses on dyadic relationships and is restricted to Europe and China. According to the authors, no comprehensive investigation has been conducted in India. This application of simulation techniques to improve the liquidity performance of companies in developing economies is innovative.

There has been considerable discussion about the utilization of social media effectively in tourist research. Still, there is a paucity of information about its usage for ecotourism destination selection. The study aims to determine critical factors influencing travelers' behavioral and electronic word-of-mouth (e-WOM) intentions to use Instagram reels to select an ecotourism destination.

This study is based on the motivated consumer innovativeness theory and technology acceptance model. Purposive sampling was applied to acquire data from Instagram users. Data were gathered from 445 respondents and 415 valid responses were analyzed using partial least square structural equational modeling.

The findings of the study confirmed the positive impact of perceived ease of use, socially motivated consumer innovativeness and hedonically motivated consumer innovativeness on travelers' attitude except for perceived usefulness. The outcomes also revealed a significant influence of travelers' attitude on behavioral and e-WOM intention.

The study's findings were intended to offer insights into traveler behavior to critical players in the tourism sector, including destination marketers, travel companies, the government and policymakers. They must comprehend how useful Instagram is for the tourist industry, which will help them better understand how to attract travelers through Instagram reels to market their destination.

The current investigation is the first attempt to investigate the travelers' behavioral and e-WOM intentions to use Instagram reels to select an ecotourism destination.

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.

Material extrusion (ME) is a low-cost additive manufacturing (AM) technique that is capable of producing metallic components using desktop 3D printers through a three-step printing, debinding and sintering process to obtain fully dense metallic parts. However, research on ME AM, specifically fused filament fabrication (FFF) of 316L SS, has mainly focused on improving densification and mechanical properties during the post-printing stage; sintering parameters. Therefore, this study aims to investigate the effect of varying processing parameters during the initial printing stage, specifically nozzle temperatures, T_n (190°C–300°C) on the relative density, porosity, microstructures and microhardness of FFF 3D printed 316L SS.

Cube samples (25 x 25 x 25 mm) are printed via a low-cost Artillery Sidewinder X1 3D printer using a 316L SS filament comprising of metal-polymer binder mix by varying nozzle temperatures from 190 to 300°C. All samples are subjected to thermal debinding and sintering processes. The relative density of the sintered parts is determined based on the Archimedes Principle. Microscopy and analytical methods are conducted to evaluate the microstructures and phase compositions. Vickers microhardness (HV) measurements are used to assess the mechanical property. Finally, the correlation between relative density, microstructures and hardness is also reported.

The results from this study suggest a suitable temperature range of 195°C–205°C for the successful printing of 316L SS green parts with high dimensional accuracy. On the other hand, T_n = 200°C yields the highest relative density (97.6%) and highest hardness (292HV) in the sintered part, owing to the lowest porosity content (<3%) and the combination of the finest average grain size (∼47 µm) and the presence of Cr23C6 precipitates. However, increasing T_n = 205°C results in increased porosity percentage and grain coarsening, thereby reducing the HV values. Overall, these outcomes suggest that the microstructures and properties of sintered 316L SS parts fabricated by FFF AM could be significantly influenced even by adjusting the processing parameters during the initial printing stage only.

This paper addresses the gap by investigating the impact of initial FFF 3D printing parameters, particularly nozzle temperature, on the microstructures and physical characteristics of sintered FFF 316L SS parts. This study provides an understanding of the correlation between nozzle temperature and various factors such as dimensional integrity, densification level, microstructure and hardness of the fabricated parts.

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.

Despite a growing interest in investigating green skepticism, there has been a paucity of effort in synthesizing green skepticism research. This study aims to synthesize extant green skepticism research. This study is useful in providing a comprehensive synthesis of research on green skepticism and identifying key gaps in the existing literature, thereby paving the way for future research directions. This research demonstrates a comprehensive understanding of the dominant theories, contexts (i.e. countries), characteristics (i.e. key variables and their associations) and methods (i.e. research design) employed in green skepticism research.

A hybrid review method that combined an Systematic Literature Review (SLR) with lexicometric analysis was employed to present a comprehensive synthesis of the green skepticism literature.

The findings showed that many theories have been applied to green skepticism research with the theory of planned behavior and attribution theory being prominently used. The review also proposes a conceptual framework that illustrates the relationships between antecedents and consequences reported in the green skepticism literature. Lexicometric analysis identified six major themes in green skepticism research, including trust in green products, product-related attributes, environmental attributes, social responsibility, organic consumption and promotional campaigns.

This review included only papers authored in English. Consequently, studies conducted in other languages were not taken into account. Future research could broaden the understanding of green skepticism by incorporating studies conducted in different languages.

This study provides practical implications for retailers, marketers and policymakers to combat green skepticism and encourage the purchase of green items. This study suggests integrating endorsements from authorized third-party organizations or celebrities into green marketing campaigns to reduce skepticism. Further, aligning corporate social responsibility efforts with genuine social welfare goals can build consumer trust. Finally, securing third-party endorsements for ecological claims will emphasize product credibility and drive green purchase intention.

To the authors’ knowledge, this study represents the first attempt to review the extant literature in green skepticism by integrating a systematic review approach, lexicometric analysis and the Theory-Context-Characteristics-Methodology framework. Through this approach, (1) SLR provides a detailed synthesis of green skepticism research to date, (2) Lexicometric analysis aids in the identification of key themes investigated in green skepticism research to date, and (3) the TCCM framework assists in identifying crucial avenues for future research endeavors in the realm of green skepticism.

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.