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This study aims to investigate the perceptional differences of key stakeholders in assessing the Digital Library Accessibility and Usability Guidelines (DLAUG), in which design information is created and organized by types of help-seeking situations, to support blind and visually impaired (BVI) users. The stakeholders consist of BVI users, digital library (DL) developers and scholars/experts. The focus is on the identification of types of situations in which BVI users and developers show significant perception differences of DLAUG’s relevance, clarity and usefulness than the other two groups, respectively, and the associated reasons.

An in-depth survey was conducted to examine the perceptions of 150 participants representing three groups of key DL stakeholders: BVI users, DL developers and scholars/experts. Both qualitative and quantitative analyses were applied.

The results show that BVI users and developers had significant perception differences of the relevance, clarity and usefulness of the DLAUG than the other two groups held on five situations, mainly because they played distinct roles in the development of DLs with differing goals and expectations for the DL design guidelines.

This is the first study that considers different DL stakeholders to assess DL guidelines to support BVI users.

The purpose of this study is to explore design issues hampering the accessibility of digital libraries (DLs) for first-time blind users.

A combination of questionnaire, pre-interview, think-aloud and post-interview methods was used to collect data on non-visual interaction experiences with American Memory Digital Collection (AMDC) from 15 blind participants. Qualitative analysis via open coding revealed recurring themes on design problems and consequent difficulties for blind users in accessing DLs.

It was found that AMDC is not blind-friendly. Five categories of design problems were identified. Participants faced difficulty perceiving, operating and understanding content and controls needed for information retrieval.

This paper does not offer a comprehensive set of design issues prevalent across DL design models, instead it focuses on design problems observed in a publicly available DL.

This paper raises awareness of design choices that can unintentionally bar blind information seekers from DL access, and further suggests solutions to reduce these design problems for blind users.

The paper’s originality is its identification of unique design problems that prevent blind users from effectively interacting with DLs.

This study aims to explore the potential of mobile assistive technology (MAT) as a vocational tool for blind workers (BW). Specifically, it investigates: Can MAT-enabled BW to perform better at the workplace and will insight into MAT-enabled capabilities impact employer perception regarding BW employability.

Exploratory case study which draws on theories of fit to analyze observational and interview data at an organization familiar with employing, training and referring BW.

MAT can increase blind worker job fit, positively impacting their performance, self-reliance and managerial perceptions regarding their employability.

A conceptual framework is articulated which expands current literature on fit to better account for the assistive potential of mobile technology for differently abled workers.

The positive impact of MAT on managerial perceptions of BW fit and employability can inform the regimes of employers, job skills trainers, vocational rehabilitation specialists and policy makers.

Insights on the use of MAT as a vocational tool can reduce the systemic workplace disenfranchisement of blind people.

This paper presents novel theory which accounts for the impact of MAT on the job fit of differently abled workers.

The purpose of this paper is to study the effect of the addition of silicon carbide (SiC) microparticles and their contributions regarding the tensile and shear properties of the T800 fiber reinforced polymer composite at various fiber volume fractions. The tensile and shear properties of the hybrid composites where continuous T800 fibers are used as reinforcements in an epoxy matrix embedded with SiC microparticles have been studied.

The results were obtained by implementing a micromechanics approach assuming a uniform distribution of reinforcements and considering one unit cell from the whole array. Using the two-step homogenization process, the properties of the materials were determined by using the finite element analysis (FEA). The predicted elastic properties from FEA were compared with the analytical results. The analytical models were implemented in the MATLAB Software. The FEA was performed in ANSYS APDL.

The mechanical properties of the hybrid composite had increased when compared with the properties of the conventional FRP. The results suggest that SiC particles are a good reinforcement for enhancing the transverse and shear properties of the considered fiber reinforced epoxy composite. The microparticle embedment has significant effect on the transverse tensile properties as well as in-plane and out-of-plane shear properties.

This is significant because improving the properties of the composite materials using different methods is of high interest in the materials community. Using this study people can work on the process of including different type of microparticles in to their composite designs and improve their performance characteristics. The major influence of the particles can be seen only at lower volume fractions of the fiber in the composite. Only FEA and analytical methods were used for the study.

Material property improvements lead to more advanced designs for aerospace and defense structures, which allow for high performance under unpredictable conditions.

This type of study proves that the embedment of different microparticles is a method that can be used for improving the properties of the composite materials. The improvement of the transverse and shear properties will be useful especially in the design of shell structures in the different engineering applications.

This paper aims to discover and analyze the challenges hampering blockchain technology’s (BT’s) implementation in the Indian health-care sector. A total of 18 challenges have been prioritized and modeled based on an extensive literature search and professional views.

An integrated multi-criteria decision-making approach has been used in two phases. Best worst method (BWM) is used in the first phase to prioritize the challenges with sensitivity analysis to validate the findings and eliminate a few challenges. In the second phase, interpretive structural modeling is applied to the remaining 15 challenges to obtain relative relationships among them with cross-impact matrix multiplication applied to classification analysis for their categorization.

The study’s results reveal that limited knowledge and expertise, cost and risk involved, technical issues, lack of clear regulations, resistance to change and lack of top management support are the top-ranked or high-intensity challenges according to the BWM. Interpretive structural modelling findings suggest that the lack of government initiatives has been driving other challenges with the highest driving power.

This work has been conducted in the Indian context, so careful generalization of the results is needed.

This work will give health-care stakeholders a better perspective regarding blockchain’s adoption. It will help health-care stakeholders, service providers, researchers and policymakers get a glimpse of the strategies for eradicating mentioned challenges. The analysis will help reduce the challenges’ impact on blockchain’s adoption in the Indian health-care sector.

The adoption of BT is a novel concept, especially in developing countries such as India. This is one of the few works addressing the challenges to BT adoption in the Indian health-care sector.

This study aims to identify several perspectives that affect the adoption of blockchain technology in India (BCTA) and evaluate their impact. To study the sector’s influence on adoption and the impact of BCTA on the performance of the Indian healthcare supply chain (HSCP) using BCTA as a mediating variable.

In this study, we first developed a conceptual model based on Organizational Information Processing Theory and Technology-Organization-Environment, then formulated hypotheses. Based on this, a questionnaire was developed, and data were gathered from experts in the Indian healthcare industry who were familiar with blockchain technology. AMOS 19 was used to analyze data using structural equation modelling.

All the factors have a significant positive influence on BCTA. Healthcare supply chain factors influenced the adoption most dominantly, followed by technological, environmental, organizational and record-keeping unit factors. Both the public and private sectors of HSCP benefited significantly from BCTA.

This research work is fruitful for healthcare practitioners, top management, academicians and policymakers in assessing BCTA’s impact on the HSCP.

We have attempted to evaluate the possible BCTA impact on HSCP. BCTA as a mediating variable and considering different perspectives for a holistic view of adoption in the Indian context add to this work’s originality.

The reduction of food wastage at every stage of a fresh produce supply chain helps in achieving balance among all three dimensions (social, ecological and economic) of the sustainability and helps in stimulating the growth and development in the agricultural domain. The purpose of this paper is to address the causal factors of post-harvesting losses (PHLs) occurring in the transportation phase.

Through exhaustive literature survey and expert opinions, 12 crucial barriers to sustainable transportation of fruits and vegetables (F&V) are identified. The interpretive structural modeling (ISM) methodology, a multi-criteria decision-making (MCDM) approach, is employed for developing a structural model of the identified barriers.

The results of the analysis highlighted that two factors, namely, the non-availability of refrigerated vehicles, and excessive loading on the vehicles, are the most significant barriers to sustainable transportation which are found to have the highest driving power.

The results of the present research are applicable to the F&V supply chains only. The established interrelation among the identified factors depends on the judgments given by the experts which could be biased. The developed ISM model is intended to guide the policy and decision makers for formulating the policies for the performance improvement of the fresh produce value chain.

It is the first research of its kind focusing on the model development of critical factors causing PHLs in the transportation phase of the agricultural fresh produce supply chain using MCDM process.

The purpose of this paper is to identify and model critical barriers to sustainable practices implementation in Indian oil and gas sectors by the interpretive structural modeling (ISM) approach.

In this paper, through exhaustive literature survey and experts opinions, 14 critical barriers were identified, and the ISM tool, which is a multi-criteria decision-making approach, was used to establish interrelationship among the identified barriers and to determine the key barriers having high driving power.

After analyzing, it was found that six barriers, namely, market competition and uncertainty (B7), shortage of resources (B8), governmental rules and regulations (B1), knowledge and training (B2), financial implications (B3), and management commitment and leadership (B5) were found to have high influencing power. These barriers need the maximum attention and organizations need to overcome these hindrances for the effective implementation of sustainable practices. From the driving and dependence power diagram, two barriers, namely, management commitment and leadership (B5) and knowledge and training (B2) were found to have the highest driving power and two barriers, namely, lack of green initiatives (B9) and lack of corporate social responsibility (B14) were found to have highest dependence power.

The presently developed model is based on the experts’ opinions, which may be biased, influencing the final output of the structural model. The research implications of the developed model are to help managers of the organization in understanding significance of the barriers, to prioritize or eliminate the same for the practical implementation of sustainability.

This is for the first time an attempt has been made to apply the ISM methodology to explore the interdependencies among the critical barriers for Indian oil and gas industries. This paper will guide the managers at various levels of an organization for effective implementation of the sustainable practices.

The aim of this paper is to study the effect of laser shock peening (LSP) on mechanical behaviour of the laser-directed energy deposition (LDED)-based printed 15-5 PH stainless steel with U and V notches. The study specifically concentrates on the evaluation of effect of scan strategy, machining and LSP processing on microstructural, texture evolution and fatigue behaviour of LDED-printed 15-5 PH steel.

For LSP treatment, 15-5 PH steel was printed using LDED process with bidirectional scanning strategy (XX [θ = 0°) and XY [θ = 90°]) at optimised laser power of 600 W with a scanning speed of 300 mm/min and a powder feed rate of 3 g/min. Furthermore, LSP treatment was conducted on the V- and U-notched fatigue specimens extracted from LDED-built samples at laser energy of 3.5 J with a pulse width of 10 ns using laser spot diameter of 3 mm. Post to the LSP treatment, the surface roughness, fatigue life assessment and microstructural evolution analysis is performed. For this, different advanced characterisation techniques are used, such as scanning electron microscopy attached with electron backscatter diffraction for microstructure and texture, X-ray diffraction for residual stress (RS) and structure information, Vicker’s hardness tester for microhardness and universal testing machine for low-cycle fatigue.

It is observed that both scanning strategies during the LDED printing of 15-5 PH steel and laser peening have played significant role in fatigue life. Specimens with the XY printing strategy shows higher fatigue life as compared to XX with both U- and V-notched conditions. Furthermore, machining and LSP treatment led to a significant improvement of fatigue life for both scanning strategies with U and V notches. The extent of increase in fatigue life for both XX and XY scanning strategy with V notch is found to be higher than U notch after LSP treatment, though without LSP samples with U notch have a higher fatigue life. As fabricated sample is found to have the lowest fatigue life as compared to machines and laser peened with both scan strategies.

This study presents an innovative method to improve the fatigue life of 15-5 PH stainless steel by changing the microstructure, texture and RS with the adoption of a suitable scanning strategy, machining and LSP treatment as post-processing. The combination of preferred microstructure and compressive RS in LDED-printed 15-5 PH stainless steel achieved with a synergy between microstructure and RS, which is responsible to improve the fatigue life. This can be adopted for the futuristic application of LDED-printed 15-5 PH stainless steel for different applications in aerospace and other industries.

The purpose of this paper is to identify the challenges surrounding the implementation of digital technology (DT) agri-food supply chain (AFSC) and explore how these challenges relate to the various sustainability dimensions. Additionally, it aims to assess how these challenges are interconnected in relation to achieving sustainable development goals (SDGs).

The study employs a mixed-method approach utilizing the EFA-ISM-Fuzzy DEMATEL technique. To support and validate the findings, exploratory factor analysis (EFA) categorized 12 critical challenges in sustainable dimensions from 141 participants' responses. Furthermore, interpretive structural modeling (ISM) and decision-making trial and evaluation (DEMATEL) methods were used to obtain the interrelationship and hierarchical structure of the challenges.

The study identified 12 critical challenges while adopting DT in AFSC. These challenges were categorized into four sustainable dimensions: technological, economic, environmental and social. These challenges hinder the achievement of SDGs as well. Lack of regulatory and policy framework with security and privacy issues were the key challenges faced while adopting DT. These observations emphasize the necessity for government and policymakers to prioritize tackling the identified challenges to successfully endorse and execute DT initiatives in AFSC while also fulfilling the SDGs.

The implication underscores the need for collaboration among various stakeholders, such as governments, policymakers, businesses and researchers. By collectively addressing these challenges, DT can be leveraged optimally, fostering sustainable practices and making progress toward achieving the SDGs within the AFSC.

The study uses a combination technique of EFA and ISM-DEMATEL to identify the challenges faced in Indian AFSC while adopting DT and categorizes the interrelation between the challenges along with fulfilling the SDGs.