Looking forward or backward: A temporal lens to disentangle adaptive and maladaptive reactions to daily goal-performance discrepancy.

The fast-changing work environment has created growing hindrances to employee daily goal pursuits and rendered it not uncommon for employees to leave work with unachieved daily work goals. The significant ramifications of unachieved goals on employee well-being and performance thus call for more research efforts to understand how employees respond to unsatisfactory goal progress (e.g.

Green bond vs. Islamic bond: Which one is more environmentally friendly?

This research investigates the dynamic dependence and causality relationship of the S&P Kensho Clean Energy (CE) and Cleantech (CT) indices with two green bond indices, including the S&P Green Bond Index (GB) and Green Bond Select (GBS) indices, and four Islamic bond indices, including A-, AA-, AAA-, and BBB-graded Sukuk Indices. In the long- and medium-term, the dependence of CE and CT on Sukuk and green bond indices strengthens under normal or bearish market conditions based on quantile cross-spectral (coherency). Overall, among all alternative financing instruments, AA- and A-rated Sukuk indices and GBS indices have higher coherency with CE and CT.

The association between access to key household resources and violence against women.

We provide the first comprehensive analysis of the association between two key household resources (drinking water and toilet access) and both non-partner violence (NPV) and intimate partner violence (IPV) experienced by women. We use data from a nationally representative household survey for India obtained from the latest (fourth) round of the National Family Health Survey conducted in 2015-16. We employ logistic regression method and also use inverse-probability-weighted regression adjustment to control for selection bias.

A novel neural network model with distributed evolutionary approach for big data classification.

The considerable improvement of technology produced for various applications has resulted in a growth in data sizes, such as healthcare data, which is renowned for having a large number of variables and data samples. Artificial neural networks (ANN) have demonstrated adaptability and effectiveness in classification, regression, and function approximation tasks. ANN is used extensively in function approximation, prediction, and classification.

In search of a fix to the primary health care chasm in India: can institutionalizing a public health cadre and inducting family physicians be the answer?

India's woes with an underprioritized and hence underfunded and understaffed public health system continue to plague public healthcare delivery. Though the need for appropriately qualified public health cadre to lead public health programmes is well established, a well-meaning conducive approach to implementing this is lacking. As the COVID-19 pandemic brought back the focus on India's fragmented health system and primary healthcare deficiencies, we discuss the primary healthcare conundrum in India in search of a quintessential fix.

Modeling Opportunity Indicators Fostering Social Entrepreneurship: A Hybrid Delphi and Best-Worst Approach.

Opportunity as a construct has been widely examined in for-profit entrepreneurship research, but it is scarcely studied in the context of social entrepreneurship. It is being observed that many entrepreneurs venture into social enterprise because they perceive it as an opportunity. This study aims to address this phenomenon by extensively identifying the opportunity indicators that promote entrepreneurs to pursue social entrepreneurship.

The great lockdown, uncertainty and trade: asymmetric impact on imports.

The world economy has recently navigated through the pandemic caused by the coronavirus. Almost all the affected countries have responded with stringency measures to control the pandemic. However, these restrictions appear to have critically impacted the global supply chain and cross-border movement of goods.

ICT, Gender Inequality, and Income Inequality: A Panel Data Analysis Across Countries.

ICT has been long recognized as a driver of sustainable development goals (SDGs). This study examines the relationship between ICT, gender (in)equality (SDG 5), and income inequality (SDG 10). We conceptualize ICT as an institutional actor and use the Capabilities Approach to theorize the relationships between ICT, gender inequality and income inequality.

The Polarizing Impact of Political Disinformation and Hate Speech: A Cross-country Configural Narrative.

Information and communication technologies hold immense potential to enhance our lives and societal well-being. However, digital spaces have also emerged as a fertile ground for fake news campaigns and hate speech, aggravating polarization and posing a threat to societal harmony. Despite the fact that this dark side is acknowledged in the literature, the complexity of polarization as a phenomenon coupled with the socio-technical nature of fake news necessitates a novel approach to unravel its intricacies.

Prescriptive analytics applications in sustainable operations research: conceptual framework and future research challenges.

In the broad sphere of Analytics, prescriptive analytics is one of the emerging areas of interest for both academicians and practitioners. As prescriptive analytics has transitioned from its inception to an emerging topic, there is a need to review existing literature in order to ascertain development in this area. There are a very few reviews in the related field but not specifically on the applications of prescriptive analytics in sustainable operations research using content analysis.

Examining the avenues of sustainability in resources and digital blockchains backed currencies: evidence from energy metals and cryptocurrencies.

The sustainability issues have been surmounted in the last decades. The digital disruption caused by blockchains and other digitally backed currencies has raised several serious concerns for policymakers, governmental agencies, environmentalists, and supply chain managers. Alternatively, sustainable resources are environmentally sustainable and naturally available resources which are employable by several regulation authorities to reduce the carbon footprint and attain energy transition mechanisms to support sustainable supply chains in the ecosystem.

Building risk mitigation strategies for circularity adoption in Indian textile supply chains.

Textile industries are among the most polluting and demand urgent management measures to mitigate their negative environmental impact. Thus, it is imperative to incorporate the textile industry into the circular economy and to foster sustainable practices. This study aims to establish a comprehensive, compliant decision framework to analyse risk mitigation strategies for circular supply chain (CSC) adoption in India's textile industries.

Data driven flexible supplier network of selfcare essentials during disruptions in supply chain.

During disruptive events, supply chains struggle to meet the demand due to limitations posed by logistics, transportation and supply side failures. In the present study, a flexible supplier network of personal protective equipment (PPEs), such as face masks, hand sanitizers, gloves, and face shields, has been modelled using an extensive risk enabled data driven decision making for addressing disruptions in the supply chain. This paper studies various risks which exists in PPE supply chain and evaluates the total supplier risk based on them.

Responsive strategies for new normal cold supply chain using greenfield, network optimization, and simulation analysis.

The global-local supply chains are affected by the forward and downward propagation of COVID-19. The pandemic disruption is a low-frequency and high-impact (black swan) event. Adapting to the "New Normal" situation requires adequate risk mitigation strategies.

A Contribution to Sustainable Human Resource Development in the Era of the COVID-19 Pandemic.

This examines the six drivers and twelve detailed practices of sustainable human resource development (S-HRD) before and during the COVID-19 pandemic across different organizations in Poland. The empirical strategy is based on explorative research conducted using surveys in Poland between 2020 and 2021. The results confirm that the surveyed organizations implemented S-HRD practices driven mainly by the expectations of external stakeholders.

Does scarcity increase or decrease donation behaviors? An investigation considering resource-specific scarcity and individual person-thing orientation.

Unlabelled: Extant research remains equivocal with respect to whether scarcity increases or decreases charitable behaviors. This research suggests a reconciliation by considering a donor's , and their (PTO), a novel personality variable that determines whether individuals are naturally attuned towards people versus things in their environment. Person-orientation predisposes preferences towards donating time, while thing-orientation predisposes preferences towards donating money.

Covid-19 cure perceptions and media use in India.

Background: During the early phases of Covid-19, social media platforms became a significant source of misinformation, and India emerged as a global hotspot. Studies show that 'miracle cure' for preventing and treating Covid-19 infection has been a prominent topic of misinformation. This study explores the extent to which beliefs in cure for Covid-19 in three prominent medical traditions popular in India are associated with the exposure to and trust in various sources from which the public access information.

Analysis of retail sector research evolution and trends during COVID-19.

The purpose of this study is to analysis the evolution of the retail sector during the COVID-19 period and to identify future research issues. Scopus databases were searched for articles published in English between 2020 and 2022 to discover current trends and concerns in the retail industry. A total of 1071 empirical and nonempirical studies were compiled as a result of the evaluation process.

Investigating the muti-scaling properties and connectedness of the sovereign bond yields: Hurst exponent and network analysis approach.

Using daily yield data of 14 sovereign bond markets from emerging and developed economies from July 10, 2000, to July 10, 2022, we examine their scaling properties using generalized Hurst exponent and spectral density analysis and investigate the connectedness based on a network analysis approach. We consider the yields of 2-year and 10-year bond yields to investigate the scaling properties for short- and long-term sovereign bonds. This selection also allows us to examine sovereign bond spreads with respect to the USA.

Exploring the asymmetric effect of fiscal decentralization on economic growth and environmental quality: evidence from India.

In recent years, environmental issues have become controversial, and policymakers are discovering new predictors of carbon emissions. Some economists/researchers have advocated for fiscal decentralization to improve the quality of the environment by offering more financial authority to provincial/local and sub-national governments. Therefore, this work aims to inspect the effect of fiscal decentralization on economic growth and environmental quality in India by taking data from 1996 to 2021.

Factors influencing tobacco use behaviour initiation - From the perspective of the Capability, Opportunity, Motivation- Behaviour (COM-B) Model.

Introduction: Non-communicable diseases such as ischemic heart disease, cancer, diabetes, and chronic respiratory diseases are the leading causes of death worldwide, and are associated with tobacco use. The ultimate goal of health professionals and researchers working to combat smoking's extremely harmful health effects is to prevent smoking initiation. Nearly 5500 new smokers are added each day, for a total of almost 2 million new smokers each year.