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This study aims to investigate the effect of two-dimensional Darcy-Forchheimer flow over second-grade fluid with linear stretching. Heat transfer through convective boundary conditions is taken into account.

Nonlinear coupled governing equations are tackled with a homotopy algorithm, while for numerical computation the computer software package BVPh 2.0 is used. The convergence analysis is also presented for the validation of analytical and numerical results.

Valuation for the impact of key parameters such as variable thermal conductivity, Dufour and Soret effects and variable magnetic field in an electrically conducted fluid on the velocity, concentration and temperature profiles are graphically illustrated. It is observed from the results that temperature distribution rises by Dufour number whereas concentration distribution rises by Soret number. The Forchheimer number and porosity parameter raise the skin friction coefficient. The permeable medium has a vital impact and can help in reining the rate of heat transfer.

The permeable medium has a vital impact and can help in reining the rate of heat transfer.

To the best of the authors’ knowledge, this study is reported for the first time.

The restrictive measures related to the COVID-19 pandemic put a halt to everything across the world. The global crisis hit every sphere of life. The mobility restrictive nature of the pandemic was a major blow to the travel, tourism and hospitality industry. For a country like Pakistan, with an unstable economy and struggling tourism, the pandemic served as ground zero. This chapter critically examines tourism dimensions in Pakistan and how it sustained the impact of various crises. It pays attention to the concepts of vulnerability, social and community resilience, and adaptive capacity to provide a theoretical understanding of the revival of tourism in Pakistan. It also considers the impact of COVID-led measures on the tourism industry and corresponding initiatives of the government. The chapter concludes by arguing that Pakistan should carefully monitor and assess the current debates on tourism policies and practices. The chapter suggests that the national tourism strategy should incorporate a mechanism that can address tourism in crises in addition to addressing the environmental, socio-cultural and economic impact of tourism.

During the past decade, enterprise resource planning (ERP) system implementations have exponentially grown within first large and then small- and medium-sized enterprises. Contemporary implementations, often through application service providers (ASPs), increase already existing pressures to adopt the embedded “best practices” that have been incorporated into the ERP software. The result is the rapid spread of generic business processes enabled through one of only a handful of leading ERP packages. This chapter focuses on the extant research on biodiversity and its focus on the negative effects of monoculture strategies – that is, the focus on a single crop (system) versus a diversity of crops (systems). The biodiversity research establishes a clear pattern of deleterious effects resulting from the vulnerabilities of monoculture strategies. These patterns are mirrored in the ERP environment as vulnerabilities loom from the diminution of diverse business processes, limited adaptability to business environment changes given technology-driven/enabled processes, and increased susceptibility to widespread parasite damage through cyber-attacks. The implications of the study raise questions as to the sustainability of accounting systems, the business environment, and society as a whole from the rapid implementation of sterilized business processes and uniformly vulnerable enterprise software.

The study aims to cope with the problems confronted in the skin lesion datasets with less training data toward the classification of melanoma. The vital, challenging issue is the insufficiency of training data that occurred while classifying the lesions as melanoma and non-melanoma.

In this work, a transfer learning (TL) framework Transfer Constituent Support Vector Machine (TrCSVM) is designed for melanoma classification based on feature-based domain adaptation (FBDA) leveraging the support vector machine (SVM) and Transfer AdaBoost (TrAdaBoost). The working of the framework is twofold: at first, SVM is utilized for domain adaptation for learning much transferrable representation between source and target domain. In the first phase, for homogeneous domain adaptation, it augments features by transforming the data from source and target (different but related) domains in a shared-subspace. In the second phase, for heterogeneous domain adaptation, it leverages knowledge by augmenting features from source to target (different and not related) domains to a shared-subspace. Second, TrAdaBoost is utilized to adjust the weights of wrongly classified data in the newly generated source and target datasets.

The experimental results empirically prove the superiority of TrCSVM than the state-of-the-art TL methods on less-sized datasets with an accuracy of 98.82%.

Experiments are conducted on six skin lesion datasets and performance is compared based on accuracy, precision, sensitivity, and specificity. The effectiveness of TrCSVM is evaluated on ten other datasets towards testing its generalizing behavior. Its performance is also compared with two existing TL frameworks (TrResampling, TrAdaBoost) for the classification of melanoma.

The need to improve energy efficiency as an essential factor for achieving the Sustainable Development Goals (SDGs) through green financing is one of the most important issues worldwide. It is even more important for ASEAN (Association of Southeast Asian Nations) countries because of their potential for economic growth and the challenge of their environmental problems. This paper therefore addresses the question of whether and how green finance (with the proxy of issued green bonds [GBs]) promotes energy efficiency (with the proxy of energy intensity) in the ASEAN member countries.

The paper runs a two-stage generalized method of moments (GMM) system model for the quarterly data over the period 2017–2020. It also uses a linear interaction model to explore how the pandemic may affect the relationship between green finance and energy efficiency in this region.

The main results only demonstrate the short-term negative impact of GBs on energy intensity. Furthermore, per capita income, economic integration and renewable energy supply can be used as potential variables to reduce energy intensity, while modernization in ASEAN increases energy intensity. Establishment of digital green finance, long-term planning of a green finance market, trade liberalization and policies to mitigate the negative impacts of COVID-19 are recommended as golden policy implications.

The present study has several limitations. First, it accounts for explanatory variables by following a number of previous studies. This may lead to omissions or errors. Second, the empirical estimates were conducted for 160 observations due to the repositioning of GBs in ASEAN, which is not bad but not good for an empirical study.

To the best of authors' knowledge, there has not been any in-depth study focusing on the relationship between energy efficiency and green financing for the case of ASEAN economies.

We are currently experiencing what is often called the sixth period of mass extinction on planet Earth, caused undoubtedly by the impact of human activities and businesses on nature. The purpose of this paper is to explore the potential for accounting and corporate accountability to contribute to extinction prevention. The paper adopts an interdisciplinary approach, weaving scientific evidence and theory into organisational disclosure and reporting in order to demonstrate linkages between extinction, business behaviour, accounting and accountability as well as to provide a basis for developing a framework for narrative disclosure on extinction prevention.

The paper is theoretical and interdisciplinary in approach, seeking to bring together scientific theories of extinction with a need for corporate and organisational accountability whilst recognising philosophical concerns in the extant environmental accounting literature about accepting any business role and capitalist mechanisms in ecological matters. The overarching framework derives from the concept of emancipatory accounting.

The outcome of the writing is to: present an emancipatory “extinction accounting” framework which can be embedded within integrated reports, and a diagrammatic representation, in the form of an “ark”, of accounting and accountability mechanisms which, combined, can assist, the authors argue, in preventing extinction. The authors suggest that the emancipatory framework may also be applied to engagement meetings between the responsible investor community (and non-governmental organisations (NGOs)) and organisations on biodiversity and species protection.

The exploratory extinction accounting and accountability frameworks within this paper should provide a basis for further research into the emancipatory potential for organisational disclosures and mechanisms of governance and accountability to prevent species extinction.

The next steps for researchers and practitioners involve development and implementation of the extinction accounting and engagement frameworks presented in this paper within integrated reporting and responsible investor practice.

As outlined in this paper, extinction of any species of flora and fauna can affect significantly the functioning of local and global ecosystems, the destruction of which can have, and is having, severe and dangerous consequences for human life. Extinction prevention is critically important to the survival of the human race.

This paper represents a comprehensive attempt to explore the emancipatory role of accounting in extinction prevention and to bring together the linkages in accounting and accountability mechanisms which, working together, can prevent species extinction.

The purpose of this study is to examine the dynamic connectedness and volatility spillovers between commodities and corporations exhibiting the best environmental, social and governance (ESG) practices. In addition, the authors determine the optimal hedge ratios and portfolio weights for ESG and commodity investors and portfolio managers.

This study uses the novel frequency connectedness framework to point out volatility spillover between ESG indices covering the USA, developed and emerging markets and commodity indices, including energy (crude oil, natural gas and heating oil), industrial metals (aluminum, copper, zinc, nickel and lead) and precious metals (gold and silver) by using daily data between January 3, 2011 and May 26, 2021, covering significant socio-economic developments and the COVID-19 outbreak.

The results of this study suggest a total connectedness index at a mediocre level, mainly driven by the shocks creating uncertainty in the short term. And the results indicate that all ESG indices are net volatility transmitters, and all commodity indices other than crude oil and copper are net volatility receivers.

The results imply statistically significant hedging and portfolio diversification opportunities to investors and portfolio managers across the asset classes, proven by the hedging effectiveness analyses.

This study provides implications for policymakers focusing on the risk of contagion among the commodity and ESG markets during turbulent periods to ensure international financial stability.

This study contributes to the existing literature by differentiating ESG portfolios as the USA, developed and developing markets and examining dynamic connectedness and volatility spillovers between ESG portfolios and commodities with a different technique. This study also contributes by considering COVID-19 outbreak.

Alternative sources for petroleum fuels have been the prime concern of most of the environmentalists. It is also a concern for economists due to the depletable nature of the fossil fuel. Vegetable oils are considered as good alternatives to diesel as their properties are close to diesel. This work aimed to produce a fuel by adding different proportions of de-oiled neem cake with diesel and to conduct experiments to find out its performance, emission and combustion characteristics.

At present, biodiesel is commercially produced from the vegetable oils by esterification processes. Because most of these oils are edible, its cost restricts the usage. The de-oiled cakes after crushing the seeds containing around 2 per cent of oil with less fatty materials are aimed in this study.

The fuel is prepared by adding dry neem de-oiled cake powder at different proportions ranging from 3 to 25 per cent by weight with diesel. Experimental results reveal that the fuel has the potential to reduce smoke, CO emissions simultaneously along with marginal increase in brake thermal efficiency.

In this published research work, the neem oil is used as biodiesel blends with diesel. Here, the authors have used neem de-oiled cake as a replacement for diesel.

This study aims to investigate the “dark side” of scan and go (S&G) apps as part of the shopping journey, and the subsequent impacts on consumer behavior.

This study utilizes a phenomenological approach. Data were collected from online reviews, semi-structured interviews and focus group discussions to explore the negaffordance of using in-store S&G apps. Thematic analysis was employed to develop a conceptual model of the customer journey.

The conceptual model highlights the complex interplay between technology, and the consumer and digital retail environment across three stages include Navigating the Nexus, Empowered Expeditions and Digital Diaspora of the shopping journey. The findings contribute to both theoretical and practical knowledge and offer insights into how S&G technology influences customer experiences.

Theoretically, this research expands the concept of negative affordances in the digital retail context by introducing “negaffordance” as a critical aspect of technology that hinders rather than facilitates the achievement of customer goals. Practically, it suggests enhancements in the design of apps to mitigate negaffordance, and it highlights suggestions made by consumers such as the introduction of a community-centric approach to customer issues. This research underscores the urgent need for retailers to align technological consistency with consumer goals to mitigate the challenges posed by S&G technology.

The purpose of this paper is to appraise the possible response outcomes (no response, fear control or danger control) of a fear-based message on falling behind current medical knowledge among health-care professionals (HCPs).

This study was conducted using a quantitative research design. A cross-sectional survey was carried out in 2,873 health-care facilities across 36 districts of Punjab. The Extended Parallel Process Model (EPPM) provided a theoretical framework for this study. The important components to EPPM such as threat, efficacy and outcomes were used to collect the data. The collected data was analyzed using Statistical Package for Social Sciences (SPSS) version 22.

HCPs perceived high susceptibility and threat of falling behind current medical knowledge. A majority of the HCPs were at the danger control process and engaged in a behavior that is recommended for adaptive behavioral changes. Clinical experience and enrollment in post-graduation programs (e.g. FCPS, MCPS) were significant factors as to HCPs’ perceived response efficacy.

The responses were obtained using a structured questionnaire, which is always subject to respondents’ personal biases and ability to understand the question’s statement.

This study has important implications in terms of introducing promotional, educational and logistical interventions that could help in HCPs overcoming the fear of falling behind current medical knowledge and develop productive and adoptive information behavior thus improving patient care and outcome.

This is the first large-scale empirical study in Pakistan that measured the level of threat and efficacy among HCPs using the EPPM. It proposes a framework for developing long-lasting adaptive information behavioral changes that may result in informed patient care and better decision-making.