bluuebunny/crossref_metadata_2025_split huggingface dataset:
How large is the farm income loss due to climate change? Evidence from India
Authors: Kalli Rajesh , Jena Pradyot Ranjan 
Published: January 2022

PurposeClimate change is the most concerned issue in the global economy; increase in climate variability and uncertain climate events have caused distress in agriculture sector. The study estimates economic effect of climate change on agriculture income for the Indian state of Karnataka. The study reports the difference of result from past studies, where estimates from present study indicate higher negative impact of rise in temperature.Design/methodology/approachFixed effect panel regression method was used to examine change in agriculture revenue to climate response. Climate variables were classified based on the crop calendar to capture the damage caused by climate change. The authors use fine scale climate data set constructed at regional context for 20 districts and time period of 21 years (1992–2012).FindingsThe result showed that with 1-degree rise in average maximum temperature, the revenue declined by 17–21%. The prediction behavior of the different models was evaluated using out-of-sample forecast approach by training and testing historical data set.Originality/valueThe study adopts recent data sets on agriculture and the updated climate variables to estimate the climate change impact on agriculture. The study yields the better results when compared to previous traditional models applied in literature in Indian context. The study further evaluates the prediction behavior and robustness of the estimated models using out-of-sample forecast method.
Electromagnetic sub-models for 3D edge-elements in transient non-linear simulation
Authors: Kowalski Matthias , Hanke Martin , Kreischer Christian 
Published: January 2022

Purpose
Resolving eddy currents in three dimensions with finite elements, especially in geometrically complex structures, is very time consuming. Notable additional efforts will be required, if these eddy currents are influenced by magnetic fields arising from larger parts or range over widespread regions. The purpose of this article is to present a new sub-modelling simulation technique, based on the finite-element approach. This method offers remarkable advantages for solving this type of problems.

Design/methodology/approach
A novel sub-modeling technique is developed for the finite-element method addressing this problem by dividing the process into two steps: firstly, a simulation of a “source”-model is carried out providing magnetic field distributions within the entire domain neglecting local eddy current effects and without modeling it in full detailed geometry. A subsequent “sub”-model comprises only the region of interest in higher resolution and is solved while being constrained with boundary conditions derived from the previous source-model. An implementation in ANSYS Mechanical is carried out with the objective to validate finite-element simulation against measurement results.

Findings
The proposed simulation technique performs robustly and time efficiently. Applying this method to an end-region of a turbogenerator allows comparisons with test data of this region for validation purposes. The comparison between measured and simulated radial flux densities shows good correspondence.

Originality/value
This work is novel in many aspects: a new technique for three-dimensional (3D) finite-element method using edge-elements is introduced. To the best of the authors’ knowledge, for the first time, these 3D sub-models are compared against measurement results of an electric machine with net currents. Leveraged from this work, detailed analyses of eddy current phenomena under influences of external magnetic fields can be investigated in higher detail within shorter calculation times.
Lean six sigma and stroke in rural hospital – The case of Baruch Padeh Medical Center
Authors: Tzadok Batsheva , Ben Tov Oran , Vaispapir Vladimir , Shornikov Lev , Marik Olga , Martens Leon , Tal Or Eran 
Published: January 2022

PurposeThis case study aims to demonstrate the strengths of the Lean Six Sigma (LSS) methodology to improve the acute ischemic stroke (AIS) treatment rates and reduce process lead time at Baruch Padeh Medical Center (BPMC), a rural hospital in the Galilee region of Northern Israel. The LSS project redefined the BPMC stroke care pathway and increased its efficacy.Design/methodology/approachThe LSS methodology was implemented in September 2017 by integrating lean principles and the Six Sigma DMAIC (Define–Measure–Analyze–Improve–Control). Existing procedures, field observation, ad hoc measurement and in-depth interviews were utilized, and the GEMBA method was implemented to identify root cause and improve actions optimizing the stroke pathway.FindingsThe presented case shows the usefulness of the LSS methodology in improving quality performance in a rural hospital. The intervention allowed the BPMC to improve the intravenous tissue plasminogen activator (IV-tPA) administration rate (+15.2%), reducing the process lead time. The lead time of door-to-computer tomography decreased from 52 to 26 min, and the door-to-needle time decreased from 94 to 75 min.Originality/valueThe present case study shows the implementation of the LSS methodology aimed to improve the IV-tPA administration rate and reduce the stroke pathway lead time in a rural hospital. The case demonstrates the potential for the LSS methodology to support the AIS pathway optimization and represents a guide for healthcare organizations located in rural areas.
Design of deep convolution feature extraction for multimedia information retrieval
Authors: Venkataravana Nayak K. , Arunalatha J.S. , Vasanthakumar G.U. , Venugopal K.R. 
Published: January 2022

PurposeThe analysis of multimedia content is being applied in various real-time computer vision applications. In multimedia content, digital images constitute a significant part. The representation of digital images interpreted by humans is subjective in nature and complex. Hence, searching for relevant images from the archives is difficult. Thus, electronic image analysis strategies have become effective tools in the process of image interpretation.Design/methodology/approachThe traditional approach used is text-based, i.e. searching images using textual annotations. It consumes time in the manual process of annotating images and is difficult to reduce the dependency in textual annotations if the archive consists of large number of samples. Therefore, content-based image retrieval (CBIR) is adopted in which the high-level visuals of images are represented in terms of feature vectors, which contain numerical values. It is a commonly used approach to understand the content of query images in retrieving relevant images. Still, the performance is less than optimal due to the presence of semantic gap among the image content representation and human visual understanding perspective because of the image content photometric, geometric variations and occlusions in search environments.FindingsThe authors proposed an image retrieval framework to generate semantic response through the feature extraction with convolution network and optimization of extracted features using adaptive moment estimation algorithm towards enhancing the retrieval performance.Originality/valueThe proposed framework is tested on Corel-1k and ImageNet datasets resulted in an accuracy of 98 and 96%, respectively, compared to the state-of-the-art approaches.
Impact of COVID-19 pandemic on perishable food supply chain management: a contingent Resource-Based View (RBV) perspective
Authors: Sharma Mahak , Alkatheeri Haseena , Jabeen Fauzia , Sehrawat Rajat 
Published: January 2022

PurposeThis study investigates the impact of supplier visibility on the adoption of sustainable practices and supply chain performance. The paper applies contingent Resource-Based View to explain how information sharing with customers and suppliers and supply chain traceability has influenced visibility; visibility has impacted supply chain velocity sustainable practices, and finally, supply chain performance.Design/methodology/approachThis research analyses 263 survey responses from UK retail (grocery) stores' executives and managers for perishable food during the COVID-19 pandemic.FindingsThe research results indicate that both supply chain traceability and information sharing (customers) positively influence visibility. Further, visibility positively influences the adoption of sustainable practices and velocity, positively impacting supply chain performance. However, information sharing with the customer has no significant influence on performance, and information sharing with the supplier has no significant relationship with visibility.Originality/valueThis research is the first attempt that explores the contingent Resource-Based View for the perishable food supply chain. Further, the empirical evidence provides meaningful insights for academics and industry by filling a crucial lacuna in the literature.
Reliability and availability of IoT devices in resource constrained environments
Authors: Tambe Vineet , Bansod Gaurav , Khurana Soumya , Khandekar Shardul 
Published: January 2022

PurposeThe purpose of this study is to test the Internet of things (IoT) devices with respect to reliability and quality.Design/methodology/approachIn this paper, the authors have presented the analysis on design metrics such as perception, communication and computation layers for a constrained environment. In this paper, based on their literature survey, the authors have also presented a study that shows multipath routing is more efficient than single-path, and the retransmission mechanism is not preferable in an IoT environment.FindingsThis paper discusses the reliability of various layers of IoT subject methodologies used in those layers. The authors ran performance tests on Arduino nano and raspberry pi using the AES-128 algorithm. It was empirically determined that the time required to process a message increases exponentially and is more than what benchmark time estimates as the message size is increased. From these results, the authors can accurately determine the optimal size of the message that can be processed by an IoT system employing controllers, which are running 8-bit or 64-bit architectures.Originality/valueThe authors have tested the performance of standard security algorithms on different computational architectures and discuss the implications of the results. Empirical results demonstrate that encryption and decryption times increase nonlinearly rather than linearly as message size increases.
Privacy considerations for online advertising: a stakeholder’s perspective to programmatic advertising
Authors: Cooper Dylan A. , Yalcin Taylan , Nistor Cristina , Macrini Matthew , Pehlivan Ekin 
Published: January 2022

PurposePrivacy considerations have become a topic with increasing interest from academics, industry leaders and regulators. In response to consumers’ privacy concerns, Google announced in 2020 that Chrome would stop supporting third-party cookies in the near future. At the same time, advertising technology companies are developing alternative solutions for online targeting and consumer privacy controls. This paper aims to explore privacy considerations related to online tracking and targeting methods used for programmatic advertising (i.e. third-party cookies, Privacy Sandbox, Unified ID 2.0) for a variety of stakeholders: consumers, AdTech platforms, advertisers and publishers.Design/methodology/approachThis study analyzes the topic of internet user privacy concerns, through a multi-pronged approach: industry conversations to collect information, a comprehensive review of trade publications and extensive empirical analysis. This study uses two methods to collect data on consumer preferences for privacy controls: a survey of a representative sample of US consumers and field data from conversations on web-forums created by tech professionals.FindingsThe results suggest that there are four main segments in the US internet user population. The first segment, consisting of 26% of internet users, is driven by a strong preference for relevant ads and includes consumers who accept the premises of both Privacy Sandbox and Unified ID (UID) 2.0. The second segment (26%) includes consumers who are ambivalent about both sets of premises. The third segment (34%) is driven by a need for relevant ads and a strong desire to prevent advertisers from aggressively collecting data, with consumers who accept the premises of Privacy Sandbox but reject the premises of UID 2.0. The fourth segment (15% of consumers) rejected both sets of premises about privacy control. Text analysis results suggest that the conversation around UID 2.0 is still nascent. Google Sandbox associations seem nominally positive, with sarcasm being an important factor in the sentiment analysis results.Originality/valueThe value of this paper lies in its multi-method examination of online privacy concerns in light of the recent regulatory legislation (i.e. General Data Protection Regulation and California Consumer Privacy Act) and changes for third-party cookies in browsers such as Firefox, Safari and Chrome. Two alternatives proposed to replace third-party cookies (Privacy Sandbox and Unified ID 2.0) are in the proposal and prototype stage. The elimination of third-party cookies will affect stakeholders, including different types of players in the AdTech industry and internet users. This paper analyzes how two alternative proposals for privacy control align with the interests of several stakeholders.
The effect of economic policy uncertainty index on the Indian economy in the wake of COVID-19 pandemic
Authors: Ghosh Raktim , Bagchi Bhaskar , Chatterjee Susmita 
Published: January 2022

PurposeThe paper tries to analyse empirically the impact of India's economic policy uncertainty (EPU) index on different macro-economic variables of India, like import, export, interest rate, exchange rate, inflation rate and stock market during pre-COVID-19 and COVID-19 era.Design/methodology/approachAlthough there exist several works where relationship and volatility among the stock markets and macro-economic indicators during the COVID-19 pandemic have been estimated, but till now none of the studies examined the effect of EPU index on different macro-economic variables in the Indian context along with the stock market due to the outbreak of COVID-19 pandemic. This is considered a noteworthy gap and hence opens up a new dimension for examination. To get a clear picture, monthly data from January, 2012 to September, 2021 have been considered where January, 2012–February, 2020 is taken as the pre-COVID-19 period and March, 2020–September, 2021 as COVID-19 period. All the data are converted into log natural. The authors applied DCC-GARCH model to investigate the impact of EPU index on volatility of selected variables over the study period across a multivariate framework and Markov regime-switching model to examine the switching over of the variables.FindingsThe results of dynamic conditional correlation - multivariate generalized autoregressive conditional heteroskedasticity (DCC-MGARCH) model indicates the presence of volatility in the dependent variables arising out of economic policy uncertainty considering the segmentation of the study period into pre-COVID-19 and COVID-19. The results of Markov regime-switching model show the variables make a significant move from low-volatility regime to high-volatility regime due to the presence of COVID-19.Research limitations/implicationsIt can be implied that impact of EPU in terms of volatility on the Indian Stock Market will lead to unfavourable investment conditions for the prospective investors. Even, the different macro-economic variables are to suffer from the volatility arising out of EPU across a long time horizon as confirmed from the DCC-MGARCH model.Originality/valueThe study is original in nature. It adds superior values from the new and significant findings from the study empirically. Application of DCC-MGARCH model and Markov regime switching model makes the study an innovative one in terms of methodology and findings.
Lost and found: an exploration of the professional identity of primary teachers during the Covid-19 pandemic
Authors: Mellon Conor 
Published: January 2022

PurposeThe purpose of this paper is to report on a small-scale study to explore the impact of the Covid-19 pandemic on Irish primary teachers’ evolving identities.Design/methodology/approachUsing a narrative methodological approach, the study was underpinned by Kelchtermans’ (2009) interpretive framework. Five Irish primary teachers participated in in-depth semi-structured interviews. The teachers’ narratives focused on what it meant to “be” a teacher during the pandemic, their overall experience of teaching and learning, their motivation during (and beyond) this time, lessons learned and their future perspectives.FindingsThe paper found that teachers’ identities shifted and evolved over the course of the pandemic, as they initially struggled to make sense of the significant challenges. However, the emergent self-image, as illustrated here, is characterised by commitment, altruistic motivation and personal and professional growth. The study also demonstrated a reconstruction of teachers’ identities, in line with reconfigured relationships with parents, a renewed commitment to space and time in teaching and learning and an attendance to pupil voice.Originality/valueThere is little specific research on how teachers’ identities have been redefined over the course of the pandemic. This admittedly small-scale study offers insights on how teachers viewed themselves during the pandemic, what it means to be a teacher at this tumultuous time and gives voice to the hard-learned lessons they take with them into a post-Covid era.
Influencing and being influenced: effects of individual influence and susceptibility on new product adoption
Authors: Zhang Honghong , Gong Xiushuang 
Published: January 2022

Purpose
This study aims to examine the effect of opinion leadership on individuals’ susceptibility to social influence, which eventually affects their adoption behavior and assess how these relationships vary with gender in new product adoption.

Design/methodology/approach
Data were collected based on a survey of young consumers regarding the adoption of new consumer electronics. The hypotheses were tested using structural equation modeling and multiple sample analyses.

Findings
The study finds that opinion leaders are more sensitive to influence from others when the mechanism of status competition is at work. Although consumers who are more susceptible to normative influence tend to adopt new products later than others, those who are more susceptible to status competition are more likely to adopt earlier. The results also provide evidence for gender differences. Female leaders are more susceptible to status competition, whereas male leaders are less sensitive to informational influence. The effects of susceptibility to normative influence and status competition on adoption behavior are stronger for female than for male consumers.

Originality/value
The overall structural model predicts an interesting relationship between individual influence and susceptibility, as well as the effects of these factors on adoption behavior. This study also provides deeper insights into the dynamics of the social influence mechanisms at work for each gender in new product adoption.
Sustainable production system: literature review and trends
Authors: Jasti Naga Vamsi Krishna , Jha Neeraj Kumar , Chaganti Phaneendra Kiran , Kota Srinivas 
Published: January 2022

PurposeThe objective is to carry out a thorough literature review and analysis of sustainable production system (SPS) and identify avenues for the future research.Design/methodology/approachA sample of 903 articles published from 1996 to 2019 in 40 journals were considered in the analysis. The classification and analysis of articles was done based on: time, focus area, methodology, research stream, authorship, industry sector, critical elements, implementation status, type of support and performance. Based on the analysis the future scope development needs are identified.FindingsThe findings are: increasing trend in empirical and conceptual research articles, need of sustainable principles implementation in the product development with combination of all the areas, need of more intercontinental research collaborations as the sustainable production is interconnected rather than isolated, need of sustainable constructs implementation as a coherent set instead of individual constructs, need of integration of sustainable philosophy with other manufacturing philosophies to achieve sustainable results and need of testing and validation of the support by researchers.Originality/valueThe results from the study will be useful to the researchers, academicians and professionals to trace the gaps, growth, pertinence and research developments in the field of SPS.
Effect of addition of compatibilizer on mechanical, thermal and thermo-mechanical behavior of a polymer blend (PBT/ PBT(G)/ PTT) composite
Authors: R.K. Sundaram , S. Senthil Kumaran , P. Edwin Samson 
Published: January 2022

Purpose
This study aims to reduce the interfacial tension by increasing the better adhesion between different immiscible polymers phases and also to evaluate the mechanical, thermal and thermo-mechanical behavior of the immiscible polymer blends.

Design/methodology/approach
The polymer blend composite (PBC) was prepared using a twin-screw extruder followed by injection molding. Two different kinds of PBC with compatibilizer (Ethylene-n-Butylacrylate-Glycidyl methacrylate) of varying compositions like polybutylene terephthalate + poly trimethylene terephthalate and polybutylene terephthalate (30% glass filled) + poly trimethylene terephthalate were prepared and material behavior at various test conditions were studied. The effect of glass fiber reinforcement on polymer blend and the interlocking effect by the compatibilizer between the polymer phases were also assessed.

Findings
Mechanical behavior of PBC was estimated by tensile, flexural and angular impact tests. Likewise, the thermal deflection was studied with the help of heat deflection temperature test. Thermo-mechanical behavior likes storage modulus, loss modulus and loss tangent were studied using the dynamic mechanical analysis test. Morphological analysis was characterized using field emission scanning electron microscopy.

Originality/value
This in turn makes the process easy to obtain the PBC having inherent mechanical, thermal and thermo-mechanically stable. And, it also enhances the mechanical properties like tensile, flexural and impact strength. Simultaneously, posse’s excellent heat deflection and thermo-mechanical behavior over a temperature range of 35–140ºC at a constant frequency of 5 Hz.