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Muga is an exclusive naturally golden coloured wild silk obtained by the Antherea assamensis silkworm species grown in the north-eastern region of India. Although many research studies on Bombyx mori silk can be found, but studies that involve muga silk is uncommon. This article attempts to characterise the muga cocoon of two commercially available crops (Kotia and Jethua) in three prominent muga rearing regions. Reeling studies on these have also been conducted to assess the regional and seasonal influences on silk reelability performance. Kotia cocoons are found to possess better cocoon quality and reeling performance in comparison to Jethua muga cocoons.

The purpose of this study is to propose a conceptual model for managing supply risk (SR) dependencies in regional supply networks (SNs). Grounded on resource dependency theory (RDT), the research conceptualises the management of SR as buffering and bridging strategies that enable organisations to redefine their SN to cope with SR and as a three-stage transformation mechanism.

Four supply failure case studies from the aluminium and the oil and gas industries in the Gulf Cooperation Council (GCC) region inductively provide empirical insights for a revised conceptual framing. Within and cross case analysis on transcribed semi-structured interviews with 11 SN managers focus on the SRs and dependencies associated with the supply failures and an abstraction of risk management (RM) strategies for coping with these failures.

The analysis finds that underpinning ‘second-order’ buffering and bridging strategies from RDT are four main ‘first-order’ RM strategies: unit independency, organisational adaptation, network reconfiguration and environmental acceptance. These RM strategies are due to controllability and predictability levels that influence investment in RM and reflect the locations for implementing RM practices, i.e. the business unit, the organisation, the SN and the environment.

The article contributes to research through the conceptual framework of SR dependencies and unique insights on SR management within the GCC region. Practically, the research is novel in offering strategic directions for RM evaluations and investments that reflect the controllability and predictability of risk incidents. Such evaluations are potentially valuable in orchestrating regional SNs, for managing GCC companies in global supply chains, and for strategic decisions to expand or outsource to the GCC region.

This study aims to summarize the effects of minor addition of Ho REE on the structure, mechanical strength and thermal stability of binary Sn- Ag solder alloys for high-performance applications.

This study investigates the effect of a small amount of holmium addition on the microstructure, thermal stability, mechanical behaviour and wettability of environmentally friendly eutectic melt-spun process Sn – Ag solder alloys. Dynamic resonance technique, X-ray diffraction (XRD) and scanning electron microscopy were carried to study stiffness, identification of the phases and the morphology features of the solder. Structure and microstructure analysis indicated that presence of rhombohedral ß-Sn phase in addition to orthorhombic IMC Ag₃Sn phase dispersed in Sn-matrix. Also, the results showed that Ho rare earth addition at a small trace amount into Sn-Ag system reduces and improves the particle size of both rhombohedral ß-Sn and orthorhombic IMC Ag₃Sn based on the adsorption effect of the active RE element. The adsorption of Ho at grain boundaries resulted in Ag₃Sn more uniform needle-like which is distributed in the ß-Sn matrix. The fine and uniform microstructure leads to improvement of mechanical strength. The microstructure refinement is due to the high surface free energy of IMC Ag₃Sn grains, and it prevents the dislocation slipping. This maybe enhance the micro-hardness and micro-creep hence delays the breaking point of the solder. Ho (RE) trace addition could enhance the melting temperature and contact angle up to 215°C and 31°, Respectively, compared with plain solder. All results showed that Ho trace addition element has an effective method to enhance new solder joints.

Effect of rare earth element Ho particles on the microstructure and mechanical behavior of eutectic Sn-3.5Ag solder alloy was studied. Some important conclusions are summarized in the following: microstructure investigations revealed that the addition of Ho particles to eutectic Sn-3.5Ag inhibited in reducing and refines the crystallite size as well as the Ag3Sn IMC which reinforced the strength of plain solder alloy. The mechanical properties values such as Young’s modulus, Vickers microhardness of Sn-3.5Ag solder alloy can be significantly improved by adding a trace amount of Ho particles compared with plain solder due to the existence of finer and higher volume fraction of Ag3SnIMC. These variations can be understood by considering the plastic deformation. The strengthening mechanism of the Sn-3.5Ag-Ho solder alloy could be explained in terms of Ho harden particles and finer IMC, which are distributed within eutectic regions because they act as pinning centres which inhibited the mobility of dislocation that concentrated around the grain boundaries. The results show that the best creep resistance is obtained when the addition of Ho 0.5 is compared to plain solder. The addition of Ho on Sn-3.5Ag lead-free solder alloy decreases the melting temperature to few degrees.

Development of holmium-doped eutectic Sn-Ag lead-free solder for electronic packaging.

Drawing on goal framing theory, this study aims to investigate consumer values and perceived readiness to engage in secondhand luxury consumption, a form of pro-environmental behavior.

An integrative conceptual model is proposed based on goal- framing theory to gauge the role of various goals driving Gen Z’s secondhand luxury purchase. Cross-sectional data were collected from 246 Indian secondhand luxury shoppers and analyzed using structural equation modeling and PROCESS Macro.

Results demonstrated that both egoistic and altruistic value frames drive secondhand luxury purchase intention through attitude and subjective norms (SNs), respectively. Interestingly, attitude significantly leads to consumer perceived readiness, but readiness does not directly affect purchase intention. Further, risk perceptions moderate the effect of readiness and SNs.

Academic literature lacks empirical evidence on secondhand luxury as a form of pro-environmental behavior and Gen Z argued to be the most influential generation driving this market has not been investigated so far. Through an emerging economy context, this study contributes important implications for luxury brands entering the secondhand market, secondhand retailers and scholars about what motivates young consumers and drives purchase decisions while engaging with an otherwise stigmatized market.

This paper aims to present Accomm a software implementation of Ágora-SN, a supply network (SN) customer-oriented model integrated with an Adaptation Model. Accomm serves two purposes: as an experimental validation tool to measure the impact of Adaptation on an agribusiness SN model and as a logistic and marketing operations planning assistant.

The design of Accomm is based on the results of the Ágora-SN model that comprises the following tasks: to characterize the SN actors’ processes ( composed of multiple first-tier suppliers, a focal company and multiple first-tier customers), identifying the ones oriented to the customer; to integrate these processes into a SN model which incorporates a supplier cooperation model; and to provide an adaptation model that implements a customer profile and a context profile to improve order fulfillment.

To validate the Ágora-SN model, a prototype Accomm was created referred to a real Colombian agribusiness sector company, specifically in the floriculture sector. This prototype was validated through two methods: a usability scale and a set of scenarios that compared the application’s behavior with and without adaptation and cooperation. The application provides a better response to demand when both adaptation and cooperation are enabled.

This work was tested in an academic environment and was validated by different experts. Further tests in operational real-life environments are required to fully validate the approach.

The main contribution of this work is the integration of Adaptation into a SN model as a way to center the SN toward the customer. As an additional contribution, the validation tool Accomm is conceived as an operational planning tool for agribusiness SN.

The study aims to predict the drivers of green purchase in extended theory of planned behaviour (TPB) by investigating direct and indirect role of consumers' attitude toward green purchase along with moderating effects of green trust and willingness to pay on purchase behaviour in an emerging market.

A total of 417 useable responses were recorded from three different states of north India to resolve the issues related to demographic diversity in country by using a structured questionnaire. Structural equation modelling, mediation and moderation analyses were used to investigate the hypothesised relationships.

The research unveiled that environmental concern, subjective norm have significant direct and indirect influence on green purchase intention via attitude. Furthermore, this study also elucidates that green trust significantly moderates attitude–behaviour, and intention–behaviour relationships, whereas willingness to pay does not significantly moderate these relationships in proposed model.

This study provides interesting insights regarding consumers of emerging market toward green purchase. These insights are useful for marketers to design more focused strategies for enhancing the consumers' preferences for green products and promotion of pro-environmental behaviour in emerging markets.

The novel insights of this study are the mediating role of attitude in an emerging market in extended TPB model and exploration of the moderating role of green trust and willingness to pay premium to reduce the attitude–behaviour and intention–behaviour gaps for enhancing the consumers' preferences for green purchase.

This paper aims to summarise the effects of ZnO nanoparticles (0.1, 0.3, 0.5, 0.7 and 1.0 Wt.%) on the structure, mechanical, electrical and thermal stability of Sn–3.5Ag–0.5Cu (SAC355) solder alloys for high-performance applications.

The phase identification and morphology of the solders were studied using X-ray diffraction and scanning electron microscopy. Thermal parameters were investigated using differential scanning calorimetry. The elastic parameters such as Young's modulus (E) and internal friction (Q⁻¹) were investigated using the dynamic resonance technique, whereas the Vickers hardness (Hv) and creep indentation (n) were examined using a Vickers microhardness tester.

Microstructural analysis revealed that ZnO nanoparticles (NPs) were distributed uniformly throughout the Sn matrix. Furthermore, addition of 0.1, 0.3 and 0.7 Wt.% of ZnO NPs to the eutectic (SAC355) prevented crystallite size reduction, which increased the strength of the solder alloy. Mechanical parameters such as Young's modulus improved significantly at 0.1, 0.3 and 0.7 Wt.% ZnO NP contents compared to the ZnO-free alloy. This variation can be understood by considering the plastic deformation. The Vickers hardness value (Hv) increased to its maximum as the ZnO NP content increased to 0.5. A stress exponent value (n) of approximately two in most composite solder alloys suggested that grain boundary sliding was the dominant mechanism in this system. The electrical resistance (ρ) increased its maximum value at 0.5 Wt.% ZnO NPs content. The addition of ZnO NPs to plain (SAC355) solder alloys increased the melting temperature (T_m) by a few degrees.

Development of eutectic (SAC355) lead-free solder doped with ZnO NPs use for electronic packaging.

The purpose of this study is to look at the factors that drive people to participate in the sharing economy (SE). Based on the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), the study proposes a mathematical model. The study’s ultimate objective is to help businesses attract more involved customers and promote collaborative consumption as a sustainable alternative to typical consumption patterns. The study offers a conceptual framework established via a thorough literature review to examine Indian customers’ use behavior toward SE platforms. A one-sample two-tailed t-test is used to assess the framework’s efficacy. The research fills gap in the literature on the SE by investigating the factors that determine subjective norms (SN), attitudes (A), and perceived behavioral control (PBC). A framework is provided that takes behavioral intention (BI) contemplated as a mediating variable. The research improves TAM and TPB by including new factors such as technical characteristics. This research adds to the body of knowledge on the digital SE by underlining the relevance of usage behavior in comprehending Indian customers, where A, SN, and PBC are important aspects. The research presents a paradigm for better understanding customers’ attitudes and behaviors toward various SE platforms, which might help academics, practitioners, and policy makers situate their initiatives within the larger field of sharing. The study’s categorizations of Indian consumers’ A, SN, PBC, and BI toward the SE might potentially advise on future research and government policies.

Women’s economic empowerment (WEE) has emerged as a key component at national and international policy-making agendas. The purpose of this paper is to examine and validate the antecedents of WEE for urban working women.

This study used a descriptive and exploratory research design. A total of 286 responses from women working in the formal sector of Delhi-NCR were collected through self-administered questionnaires on a five-point Likert scale using non-probability quota sampling technique. The sample was controlled for the employment sector, that is, healthcare, education and information technology. Exploratory factor analysis has been performed in the first step to test the data’s dimensionality with the goal of producing a set of items that reflect the meaning of the relative construct. Thereafter, confirmatory factor analysis has been used for data analysis.

Digital banking usage (DBU) has been identified as the most significant contributor to WEE.

Besides digital banking, government support has also emerged as a key indicator of WEE, necessitating a government policy review to improve WEE. Research findings indicate that, if WEE initiatives are to reach their full potential, they must individually address the extracted factors. This study offers a new framework for understanding and enhancing WEE for urban working women in India.

To the best of the authors’ knowledge, this study is the first of its kind to use factor analysis to explore the multi-dimensionality of WEE using the novel dimensions of DBU, women’s agency and government support, in addition to the established variables of financial literacy, social norms and workplace human resource policies.

Manufacturers find bottom of the pyramid (BOP) markets challenging to serve due to low margins and highly localized needs. As such, residents in BOP markets often go without products commonly available in developed countries. Going without medical equipment may negatively affect healthcare services. This study develops a supply chain design strategy that supports the production of medical equipment by preserving variety flexibility at low volumes that stands to create new market opportunities for manufacturers and improve healthcare for residents in BOP markets.

The authors introduce a mass-customization model called options-based planning (OBP) which offers a framework to both leverage the efficiencies of high volume production models and provide products that are customized to local market needs. An empirical simulation, grounded in data collected from a large international manufacturer of magnetic resonance imaging (MRI) equipment, illustrates how an OBP production strategy will likely perform under BOP conditions and facilitate the delivery of healthcare equipment to BOP markets.

OBP provides a means for manufacturers to provide the customization necessary to serve fragmented BOP markets, while enabling higher production volume to make serving these markets more feasible. The empirical simulation reveals the relative benefits of OBP under conditions of forecast uncertainty, product complexity (number of design parameters) and different levels of responsiveness.

Increased access to modern medical equipment should improve healthcare outcomes for consumers in BOP markets.

The MRI context in BOP markets serves to illustrate the value of the OBP model for manufacturers.