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Although a fashion subscription offers significant environmental benefits by transforming physical products into shared services, most customers are reluctant to adopt it. This hesitation, exacerbated by poor communication from brands that primarily emphasize its personal benefits, hinders its sustainable growth. This study aims to examine specifically which concerns increase hesitation, and the role of explicitly informing consumers about the service’s environmental benefits in mitigating the impact of consumer concerns on their hesitation.

Data were collected through an online experiment with more than a thousand U.S. adults nationwide and analyzed using a two-step analysis. First, theory-based causal modeling was conducted to examine the effects of consumer concerns on hesitation, accounting for ambivalence as a mediator and informed environmental benefits as a moderator. Second, machine learning was used to cross-validate the findings.

Results show that certain types of consumer concerns increase hesitation, significantly mediated by ambivalence, and confirm that informed environmental benefits mitigate the effects of some concerns on hesitation.

This study contributes to building on the hierarchy of effects theory by exploring negatively nuanced constructs – concerns, ambivalence and hesitation – beyond the traditional constructs representing the cognitive, affective and conative stages of consumer decision-making. Findings provide strategic guidance to brands on how to communicate the new service to consumers. Leveraging theory-based causal modeling with machine learning-based predictive modeling provides a novel methodological approach to explaining and predicting consumer hesitation toward new services.

This paper aims to provide a full introduction, new classification, comparison and investigation of the challenges as well as applications of layerless 3D printing, which is one of the industry 4.0 pioneers.

Given the significance and novelty of uniform 3D printing, more than 250 publications were collected and reviewed in an unbiased and clear manner.

As a result, the majority of uniform parts printed in polymer form are known up to this point. In a novel division for better researchers’ comprehension, uniform printing systems were classified into three categories: oxygen inhibition (OI), liquid lubrication (LL) and photon penetration (PP), and each was thoroughly investigated. Furthermore, these three approaches were evaluated in terms of printing speed, precision and accuracy, manufacturing scale and cost.

The parameters of each approach were compared independently, and then a practical comparison was conducted among these three approaches. Finally, a variety of technologies, opportunities, challenges and advantages of each significant method, as well as a future outlook for layerless rapid prototyping, are presented.

This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into the logistics management field.

Rooting their analytical categories in the LMD literature, the authors performed a deductive, theory refinement SLR on 307 interdisciplinary journal articles published during 2015–2022 to integrate this emergent phenomenon into the field.

The authors derived the potentials, challenges and solutions of drone deliveries in relation to 12 LMD criteria dispersed across four stakeholder groups: senders, receivers, regulators and societies. Relationships between these criteria were also identified.

This review contributes to logistics management by offering a current, nuanced and multifaceted discussion of drones' potential to improve the LMD process together with the challenges and solutions involved.

The authors provide logistics managers with a holistic roadmap to help them make informed decisions about adopting drones in their delivery systems. Regulators and society members also gain insights into the prospects, requirements and repercussions of drone deliveries.

This is one of the first SLRs on drone applications in LMD from a logistics management perspective.

While the tourism–growth nexus is one of the better researched themes in both tourism and economics literature, there is limited evidence on how institutional quality affects this link, especially in the context of the developing world. To address this gap, this study aims to investigate the tourism-led growth hypothesis (TLGH) through the lens of institutional quality, drawing on evidence from African economies.

This study adopts a longitudinal design, involving panel data on 43 countries over an 18-year period, and the data were analyzed using the difference generalized method of moments model.

Results indicated that international tourism earnings contributed to economic growth in the selected economies. However, institutional quality negatively moderated the tourism–growth relationship on the continent, particularly in low-income economies, while reinforcing this link in middle-income countries.

This study provides new insights into how the TLGH varies across different levels of institutional quality and development.

虽然旅游业与经济增长之间的关系研究是旅游和经济领域中较为深入的主题之一, 但目前关于制度质量如何影响这种关系的研究仍然较少, 而以发展中国家作为研究对象的研究更为有限. 为了填补这一研究空白, 本研究从制度质量的角度出发, 以非洲国家为例, 深入探讨旅游业主导增长假说。

本研究采用纵向设计, 采集18年期间43个国家的面板数据, 并使用差异广义矩法 模型对数据进行分析。

研究结果表明, 国际旅游收入促进了所选经济体的经济增长. 然而, 非洲大陆的旅游业与增长关系受到制度质量的负向调节作用; 这种负面调节在低收入国家中更为明显, 但在中等收入国家制度质量却对旅游业与增长的关系起到了正向调节作用。

本研究创新性地研究了旅游主导增长假说 (TLGH) 在不同制度质量和发展水平下的不同表现。

Aunque el nexo entre turismo y crecimiento es uno de los temas mejor investigados tanto en la literatura turística como en la económica, existen pocas pruebas sobre cómo afecta la calidad institucional a este vínculo, especialmente en el contexto del mundo en desarrollo. Para abordar esta laguna, el presente estudio investiga la hipótesis del crecimiento impulsado por el turismo a través de la perspectiva de la calidad institucional, basándose en evidencias de las economías Africanas.

El estudio adopta un diseño longitudinal, con datos de panel sobre 43 países a lo largo de un periodo de 18 años, y los datos se analizaron utilizando el modelo de diferencias del Método generalizado de momentos.

Los resultados indicaron que los ingresos del turismo internacional contribuyeron al crecimiento económico de las economías seleccionadas. Sin embargo, la calidad institucional moderó negativamente la relación turismo-crecimiento en el continente, particularmente en las economías de renta baja, mientras que reforzó este vínculo en los países de renta media.

El estudio brinda nuevos conocimientos sobre cómo la hipótesis de crecimiento impulsado por el turismo (TLGH) varía en diferentes niveles de calidad institucional y desarrollo.

Three-dimensional bioprinting (3D bioprinting) is used for repairing and regenerating living tissues due to its ease of use, cost-effectiveness and high precision in fabricating. Owing to their high biocompatibility, natural hydrogels are widely used as scaffold materials in bioprinting. However, the mechanical properties and low printability of hydrogels present a challenge. This study aims to introduce a composite hydrogel that exhibits excellent mechanical, biological and printability properties simultaneously.

Alginate (Alg), carboxymethyl cellulose (CMC) and nanohydroxyapatite (nHA) as suitable materials for 3D printing were used. Effect of material content and pre-crosslinking on various properties of these materials were investigated. Both quantitative and qualitative experiments were conducted to validate the biomaterial ink’s printability, its rheological characteristics, as well as its biological and mechanical properties.

Based on the analysis of the obtained experimental results from all mentioned tests, a hydrogel with a composition of 4% Alg, 2% CMC and 2% nHA with the pre-crosslinking process was selected as the preferred option. The results demonstrated that the selected material has good cell adhesion, wettability, degradation rate and 93% cell viability. Furthermore, compared to the composition of 4% Alg–2% CMC, the chosen material exhibited a 52% improvement in printability and a 55% improvement in compressive modulus.

A significant challenge in the field of 3D bioprinting is the development of scaffolds that possesses optimal mechanical, biological and printability characteristics simultaneously, essential for attaining tissue-like properties. Hence, this paper explores a novel nanocomposite hydrogel that demonstrates promising outcomes across all these aspects simultaneously.

From poor healthcare infrastructure to vaccine donors, India has traveled a long way. In this study, the author tried to find the investment certainty and persistence of volatility in the Indian healthcare system due to COVID-19.

Using the Generalized Autoregressive Conditional Heteroskedasticity (GARCH 1,1) model, this study quantifies the change in the conditional variance after the first case report of COVID-19. The author has used the S&P BSE HEALTHCARE index time series to analyze India’s healthcare infrastructure and practices.

The author found evidence of a decrease in investment certainty in investments related to India’s healthcare infrastructure and practices after the first case report of COVID-19. Furthermore, the estimation of the econometric model suggests the presence of a large degree of volatility persistence in the S&P BSE HEALTHCARE index.

This research would be the first of its kind where the return volatility of the Indian healthcare sector has been discussed. Also, this research quantifies the return volatility of the healthcare sector during the pre- and post-COVID-19 period.