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This study aims to examine the altering paradigms for two specific characteristics of the international diamond industry: community-based business model and competitive advantage and their impact and interaction effect.

This study uses global value chain (GVC) analysis to understand the industry characteristics, social impacts and disruption in the international diamond industry. Further, normalized revealed comparative advantage is used to measure the competitiveness of different countries over time. Finally, stochastic frontier analysis is used to test the impact of the community-based business model and competitiveness on exports and estimate the technical efficiency.

The international diamond industry is witnessing changes in the business model, competitiveness, processes, policies and consumer behavior. While competitive advantage and community have a positive impact on exports, the relationship between competitive advantage and exports gets negatively moderated by the community. Further, insights from the GVC analysis indicate that though the industry is facing several disruptions and challenges, it has shown the unique quality of community reconfiguration and relocation.

This paper provides insights into the diamond industry facing multiple disruptions at various stages of GVC and contributes to the literature on international trade, community-based business models and GVC.

In this research article we aim to answer two research questions: - With ever increasing AI based integrations in organizations, it is imperative to understand how employees learn and adapt to these newer technologies? What is the impact of this learning and adaptation on AI-based employee productivity?

A survey-based research design has been conducted among the employees working in technology companies. Questionnaires were administered by the researchers physically using snowball based purposive sampling to reach the participants who are working in the AI driven technology companies. The data was analyzed using Structural Equation Modelling and numerous studies have previously used this approach for model fit and testing.

it was found that employee learning has significant positive mediational impact on the relationship between AI trust, knowledge sharing and AI skills and AI-employee collaboration. SEM results indicate that data fits the proposed model well.

findings indicate that as the trust in AI develops, employees are more interested in learning and increasing their understanding of AI driven work and increase their AI skills such as Machine learning and data analytics. To increase AI-employee collaborations and upskilling: organizations will need to foster AI training opportunities; make employees work on projects having AI based sociotechnical systems; create environment of knowledge sharing among employees on AI themes.

The use of Artificial Intelligence (AI) is ubiquitous, and more and more organizations are adopting AI in their operations which lead to massive scale changes in the functioning of organizations. These large-scale massive transformations are posing challenges and opportunities at the same time. At the same time, it created immense challenges for employees’ adjustment to the new learning and skilling requirements posed by AI (Sengupta et al., 2022). It is therefore expected that employees embrace the associated new technologies of AI such as big data analytics, Machine learning and Robotics.

Livelihood interventions are recognized as instruments to deliver sustainable development by addressing multidimensional issues of poverty. Despite several interventions, success still remains trivial due to various interactive determinants. The purpose of this paper is to present the hierarchical model of determinants of rural livelihood interventions in India.

This study adopts interpretive structural modelling (ISM) approach to explore the interactive relationships among determinants. Then, by using the Matrice d’ Impacts Croises - Multipication Applique a classement (MICMAC) approach, these determinants are classified into four groups on the basis of their driving power and dependence power.

The research findings include identification of nine critical determinants using hybrid research process. These nine determinants are classified into four distinct levels revealing different extents of influence on livelihood outcomes. The results show that strong emphasis should be given to local institutions and enclosing institutional environment in terms of good governance and better convergence.

The research findings offer insights for policy-makers on the hierarchical model among determinants. The study will help to close the existing dominant gap between theory and practice and imply corresponding methods and processes to deliver better livelihood outcomes.

This study contributes to policy literature by providing a structural model for interventions. This model identifies the dominant as well as mediating determinants and thereby guides policymakers to develop corresponding instruments and strategies. The study also contributes to rural development literature by identifying various interactive contextual relationships and thereby classifying the high priority determinants.

The concept of sustainable livelihoods – commonly understood as managing of means of living without undermining natural resources – has gained momentum in international development discourse. This review focuses on broadening of conceptualisation of policy intervention process for sustainable livelihoods approach and synthesis of evidence to track development in their knowledge structure.

Evidence available in the literature systematically reviewed with the established methods and themes of interest are curated, to assess the characteristics, mechanisms and caveats arising in policy and practice.

The authors found seventy-five independent studies that fit into the pre-specified research protocol and objectives. The authors classify these studies into six major themes: Economic wellbeing; Opportunities and capabilities; Climate and natural resources; Policy design; Formal-informal institutional environment; and Labour, entrepreneurship and exports. Various research gaps and directions for future research are also discussed.

The study provides a typology of reviewed literature examining the profile dynamics. Thematic analysis resulted into identifying complementarities and trade-offs and results demonstrate multiple heterogeneity in structures, processes and outcomes.

The definitive areas of interventions are discussed to broaden the utility of the concept in a structured way. This review paper brings a comprehensive view of livelihood intervention system and contribute in enriching the social policy perspective.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2022-0402

Credit is an essential element in the production process in agriculture. There are two sources from which farm households can access credit: institutional sources and non-institutional or informal sources of credit. The informal sources of credit, such as moneylenders, charge exorbitant rates of interest, which further puts a financial burden on the farmers. Hence, to increase the flow of credit from institutional sources, a policy known as the interest subvention scheme (ISS) was introduced in the year 2006. This paper aims to find the effect of the ISS on the behaviour of farm households.

The author has used difference-in-difference analysis for estimation. In the analysis, the author has taken Madhya Pradesh as the treatment state and Andhra Pradesh as the controlled state. The author has used the Village Dynamics in South Asia (VDSA) dataset of ICRISAT for analysis. The author has used data from 2009 to 2014 for the two states.

The author has found that the difference between the average interest rate of Andhra Pradesh and Madhya Pradesh is significant for both pre-treatment and post-treatment periods and this gap has increased after the intervention period. The results suggest that the share of informal sector borrowings has reduced in the treatment group (Madhya Pradesh) as compared to the control group (Andhra Pradesh) in the post-treatment period.

This paper is particularly important because of the dearth of literature on the impact of this scheme in India and may shed light on the much-needed policy implications of this particular policy.

The purpose of this paper is to investigate computationally the hydrothermal characteristics for forced convective laminar flow of water through a channel with a top wavy wall and a flat bottom wall having metallic porous blocks.

The governing equations are solved computationally using a finite element method–based numerical solver COMSOL Multiphysics® for the following range of parameters: 10 ≤ Reynolds number (Re) ≤ 500 and 10^–4 ≤ Darcy number (Da) ≤ 10^–1.

The presence of porous blocks significantly influences the heat transfer rate, and the value of local Nusselt number increases with the increase in Da. The value of the average Nusselt number decreases with Da for the top wall and the same is enhanced for the bottom wall of the wavy channel with porous blocks (WCPB). The value of the average Nusselt number for WCPB is significantly higher than that of the wavy channel without porous block (WCWPB), plane channel without porous block (PCWPB) and plane channel with the porous block (PCPB) at higher Re. For PCPB, the performance factor (PF) is always higher than that of WCWPB and WCPB for Da = 10^–4 and Da = 10^–3. Also, PF for WCPB is higher than that of WCWPB for higher Re except for Da = 10^–4. Further, the value of for WCPB is higher than that of PCPB at Da = 10^–2 and 10^–1 at Re = 500.

The current study is useful in designing efficient heat exchangers for process plants, solar collectors and aerospace applications.

The analysis of thermo-hydraulic characteristics for laminar flow through a channel with a top wavy wall and a flat bottom wall having metallic porous blocks have been analyzed for the first time. Further, a comparative assessment of the performance has been performed with a wavy channel without a porous block, a plane channel without a porous block and a plane channel with porous blocks.

This paper aims to investigate the gas-sensing capability of Pd/TiO₂/Si MIS capacitor using capacitance versus gate voltage (C-V) response as a function of hydrogen gas concentration varying from 0.1 to 2 ppm at 300 kHz frequency.

The objective is to fabricate a metal–insulator–semiconductor (MIS) capacitor sensor based on TiO₂-thin-film insulator deposited by sol-gel spin-coating process. Gas-sensing signal derived on exposure to hydrogen with concentration varying from 0.1 to 2 ppm at different operating temperatures (room temperature to 1,500°C) was measured as variation in flat-band voltage in C-V characteristics of the MIS capacitor.

High sensitivity of the sensor is attributed to the large change of interface state charges because of the large surface-to-volume ratio of the nano-structured TiO₂. The values of response time as well as the recovery time have also been estimated and are found to be comparable to that observed in the case of conventional Metal Oxide Semiconductor (MOS) structure.

The use of Si substrate restricts the performance of gas sensors to 200°C, as the Si substrate begins to show conductive nature.

This paper deals with an MIS capacitor gas sensor which replaces conventional insulating material by TiO₂ and uses a high-quality fabrication procedure for controlled growth of novel surface structure.

Personal Protective Equipment plays an inevitable part in the current scenario of pandemics in the world. A novel coronavirus, Severe Acute Respiratory Syndrome-Corona Virus-2 (SARS-Cov 2), began as an outbreak of pneumonia in Wuhan, China, in late December 2019, and quickly spread worldwide. It quickly escalated into an international public health crisis. This opened up the high demand for the innovation and research of new materials in the Personal Protective Equipment industry.

PubMed, Embase and Google Scholar were searched for relevant literature regarding personal protective equipment and the information was organized in a systematic way.

There are no adequate number of studies taken up in the field of use of textiles in medical applications especially with PPEs.

This structured review will generate a sense of the significance of using PPE for controlling pandemics and also awaken need for additional research and innovations in this area.

The authorities of the management should take timely intervention in choosing the right material for their PPE in their hospitals. Hence health care professionals teams have an inevitable role in preventing the adverse environmental impact due to the inadvertent disposal of PPEs.

There is a lack of systematic way of disposing contaminated single-use face masks in a safe, environmentally acceptable manner. The dumping of single-use PPE in domestic garbage has had an adverse effect on the environment. Mismanaged plastic waste endangers the health of ecosystems by polluting marine and terrestrial environments, posing a significant risk of ingestion or injury to animals and contaminating habitats.

This review article provides an in-depth review of the use of different materials in PPE and challenges regarding its long-term use and implications on the environment.

Epilepsy is a chronic neurological disorder that can have profound physical, social and psychological consequences. We aimed to assess the clinical predictors of quality of life of people with epilepsy. We recruited 31 patients suffering from epilepsy in this cross-sectional study. Their clinical profile was recorded. Quality Of Life in Epilepsy (QOLIE-31) was used to assess quality of life of our patients. Depression was screened by Neurological Disorders Depression Inventory in Epilepsy (NDDI-E). Among all the clinical variables, only seizure frequency significantly correlated with seizure worry (P=0.002), emotional well-being (P=0.026) and social functions (P=0.013) subscales of QOLIE-31. NDDIE score showed a significant negative correlation with all the subscales of QOLIE-31 except medication effects (P=0.993). A significant positive correlation was also noted between seizure frequency and NDDI-E score (r=0.417, P=0.020). Seizure frequency and depression are the most important predictors of quality of life in epilepsy patients. The management of patients with epilepsy should not only be aimed at just preventing seizures but the treating clinicians should also be cognizant about depression which itself can significantly affect the quality of life of patients.

“The purpose of this paper is to review the literature on service innovation during the past two decades and provide an analysis of sources of publication, citations and authorship using bibliometric analysis techniques (VOSviewer).” This paper aims to assesses the important trends, enhance the academic debate, identify research gaps and propose future directions and a research agenda.

This paper examines 176 articles in English language published from 2002 to 2022 from the Scopus database by adopting the bibliometric technique using VOSviewer software. This paper analyzes the different levels and boundaries of service innovation using bibliometric analysis of “service innovation research” using VOSviewer software. The methodology analyzes the number of citations, co-citations, keywords, authors, journals and countries.

The review of the past 20 years indicates a substantial growth in the number of good research publications on service innovation. The UK, the USA, Sweden and Australia dominate this research area with the most articles published to date under the subject area of “Business management.” The review highlighted that most of the studies on service innovation focused on products, companies and processes in the services industry. The most critical factors behind service innovation failure are improper management and lack of knowledge. The citation analysis revealed various research implications and directions for the future.

This study focuses only on service innovation and excludes research on performance management and control. Thus, future studies may explore this area of research in future studies. Only research articles were analyzed; conference papers, reports, manuals and white papers from practice were excluded. Research implications indicate that future studies on service innovation would be essential for organizational excellence, not process excellence.

This paper provides a comprehensive overview of the current status and essential trends of research on service innovation. This study identifies the research gaps and provides a clear research agenda for understanding the various elements of service innovation.