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Fluid flows in pipes whose cross-sectional area are increasing in the stream-wise direction are prone to separation of the recirculation region. This paper aims to investigate such fluid flow in expansion pipe systems using direct numerical simulations. The flow in circular diverging pipes with different diverging half angles, namely, 45, 26, 14, 7.2 and 4.7 degrees, are considered. The flow is fed by a fully developed laminar parabolic velocity profile at its inlet and is connected to a long straight circular pipe at its downstream to characterise recirculation zone and skin friction coefficient in the laminar regime. The flow is considered linearly stable for Reynolds numbers sufficiently below natural transition. A perturbation is added to the inlet fully developed laminar velocity profile to test the flow response to finite amplitude disturbances and to characterise sub-critical transition.

Direct numerical simulations of the Navier–Stokes equations have been solved using a spectral element method.

It is found that the onset of disordered motion and the dynamics of the localised turbulence patch are controlled by the Reynolds number, the perturbation amplitude and the half angle of the pipe.

The authors clarify different stages of flow behaviour under the finite amplitude perturbations and shed more light to flow physics such as existence of Kelvin–Helmholtz instabilities as well as mechanism of turbulent puff shedding in diverging pipe flows.

Research on the intersection of start-ups and digital transformation is still in its infancy, but it is gathering speed and has entered a period of ferment that may lead to discoveries and deeper understandings. From a purely descriptive standpoint, the topic has only recently entered an exponential development phase. This study aims to provide an overview of the digital transformation in start-ups.

The research only looked into account papers that mentioned the ((“Digital transformation”) AND (“Startups”) OR (“Entrepreneurship”) OR (“Entrepreneur”)) for the title, abstract and keywords. The R programming language's Biblioshiny package was considered for thoroughly examining the papers.

This study evaluated the overview of digital transformation in start-ups between 2016−2022 using the articles from the Dimension database. The study of digital transformation is increasingly popular, but there needs to be more research focused specifically on the digital transformation of start-up companies. While the overall trend shows a rise in the interest and investigation of digital transformation, the number of studies explicitly addressing start-up digital transformation still needs to be higher. The highest publication and citation related to digital transformation is of Andreja Pucihar. The findings also show that the Sustainability journal has the highest network with other citations. Also, it has been found that the focus on digital transformation addresses the need for more research based on various theoretical perspectives. Based on the prominence percentile, the top three future research topics that can be explored are Product Innovation; Sustainability; Frugality, Digital Transformation; Strategic Alignment, and Cybersecurity; Strategies; Digital Transformation.

The current study may serve as a general guideline for future investigation into this topic.

Regarding the practical ramifications, this study’s findings can help entrepreneurs prepare to launch a business or are already doing so. This study’s results provide a comprehensive framework of success variables that must be considered to improve the venture's performance.

This study’s originality is from presenting a structured and in-depth literature review that describes the current state of the art for digital transformation in start-ups. A complete analysis of the data gathered on its digital transformation in start-ups is offered to establish that it is sustainable.

Resilience, the ability of start-ups to deal with anticipated instabilities and probable disruptions, is becoming an important success element during coronavirus disease 2019 (Covid-19). To survive in this pandemic situation, resilience is an important concept for start-ups. The present paper aims to “identify”, “analyse” and “categorize” the resilience factors for start-ups during the Covid-19 pandemic using total interpretive structural modelling (TISM).

The resilience elements of start-ups during Covid-19 were identified and shortlisted during the first phase, which included literature analysis and extensive interaction with experts. TISM was used in the second phase to investigate or to determine how the factors interplayed between the resilience factors of start-ups during Covid-19. The Matrice d'impacts Croises Multiplication Appliquee a un Classment (MICMAC) method is used to rank and categorize the factors. Closed-ended questionnaire with the scheduled interview was conducted to collect the data.

The first part of the study found ten resilience elements in total. The TISM digraph was constructed in the second step to show why one resilience component led to another. The MICMAC analysis divided these factors into four groups: autonomous, linkage, dependent and independent. These groups represented resilience variables based on their driving and dependent power, which assist executives and managers in proactively addressing them while using the TISM digraph as a guide.

During the Covid-19 epidemic, this study focused primarily on resilience characteristics for Indian start-ups.

This study will help key stakeholders and scholars to better understand the elements that contribute to start-up's resilience.

The TISM method for start-up's resilience is suggested in this paper, which is a novel attempt in the field of resilience in this industry.

The ability of a business to outperform its rivals is known as its competitive edge, and it presents special difficulties in the context of the “digital revolution,” or the fourth industrial revolution. To obtain a competitive edge in the startup operations 4.0 era, this study aims to examine the organizational, technological and competence-related challenges presented by Industry 4.0. It does this by concentrating on the tools, competencies, methods, approaches, tools and strategies that are crucial. Using the Total Interpretive Structural Modeling (TISM) technique, the goal is to find, analyze and classify enablers for startup operations 4.0.

A closed-ended questionnaire and planned interviews were used in the data collection process. In startup operations 4.0, the cross-impact matrix multiplication applied to classification method is used to rank and categorize competitive advantage factors, whereas the TISM technique is used to analyze how components interact.

The study highlights the critical significance of the “Internet of Things (IoT),” “information technologies,” “technological platforms,” “employee empowerment,” “augmented reality (AR)” and “operational technologies” in its identification of 12 enablers for startup operations 4.0.

The main focus of the study is on the variables that affect startup operations 4.0’s competitive advantage.

Academics and important stakeholders can better understand the factors influencing competitive advantage in startup operations 4.0 with the help of this research.

Large businesses have been profoundly impacted by Industry 4.0 principles; however, startup operations 4.0’s competitive advantage has not received as much attention. This paper offers a fresh take on the concept of competitive advantage in startup operations 4.0 research.

This paper aims to address the thesis that poverty is best alleviated by a policy emphasising the growth of per capita average income, a strategy that affords little room for direct pro-poor interventions or a movement towards a more equal distribution of incomes. This policy prescription is based on the empirical finding that cross-country variations in poverty are largely explained by variations in growth rates of average income.

The paper contends, as has been done in other commentaries on the subject, that inferring the dictum that “growth is [virtually the only thing] good for poverty” from cross-country evidence on poverty, growth and inequality is neither logically plausible nor normatively compelling. This is sought to be established both through conceptual reasoning and (secondary) data-based analysis. In particular, the thesis under review implicitly rejects the value of counter-factual analysis. Such a hypothetical illustrative analysis is attempted here, using evidence relating to urban poverty, growth and inequality in India.

The paper concludes, without undermining the salience of growth, that there is little basis for the pre-eminence accorded to it as the instrument for poverty redress.

This paper has not been published elsewhere. A collaborative paper by one of the present authors with another scholar, on a similar theme is, however, under preparation for publication.

This study aims to present a basic mathematical model for investigating the structure of counter-flow non-premixed laminar flames propagating through uniformly-distributed organic fuel particles considering preheat, drying, vaporization, reaction and oxidizer zones.

Lycopodium particles and air are taken as biofuel and oxidizer, respectively. Dimensionalized and non-dimensionalized forms of mass and energy conservation equations are derived for each zone taking into account proper boundary and jump conditions. Subsequently, to solve the governing equations, an asymptotic method is used. For validation purpose, results achieved from the present analysis are compared with reliable data reported in the literature under certain conditions.

With regard to the comparisons, although different complex non-homogeneous differential equations are solved in this paper, acceptable agreements are observed. Finally, the impacts of significant parameters including fuel and oxidizer Lewis numbers, equivalence ratio, mass particle concentration, fuel and oxidizer mass fractions and lycopodium initial temperature on the flame temperature, flame front position and flow strain rate are elaborately explained.

An asymptotic method for mathematical modeling of counter-flow non-premixed multi-zone laminar flames propagating through lycopodium particles.

When coping with uncertainties, three characteristics distinguish firms: agility, adaptability and alignment (triple-A). Based on significant field research, the triple-A highlights the significance of coordinating agility, adaptability and alignment. Start-ups are facing a lot of challenges in this turbulent environment. However, this sector is undergoing a major transformation. Agility, adaptability and alignment concepts have had a major influence on the supply chain, but their implementation in start-ups has been less visible. This paper aims to identify, analyze and categorize the enablers for agility, adaptability and alignment in start-ups using the total interpretive structural modeling (TISM) approach.

In addition to the scheduled interview, a closed-ended questionnaire was used to collect data. To identify how the factors interact, the TISM technique is used, and the Matriced’Impacts Croises-Multipication Applique’ and Classment method is used to rank and categorize the agility, adaptability and alignment enablers.

This study identified ten agility, adaptability and alignment factors for start-ups. It has been found that the key importance should be given to management involvement, conflict management, collaboration and information integration.

This study primarily focused on the agility, adaptability and alignment factors in start-ups.

This study will help academics and key stakeholders understand the aspects that lead to agility, adaptability and alignment in start-ups.

Agility, adaptability and alignment concepts have had a major influence on the supply chain, but their implementation in start-ups has been less visible. Therefore, this is a novel attempt in this industry’s agility, adaptability and alignment.

The purpose of this paper is to investigate the impact of service quality (physical quality and staff behaviour) and brand equity (brand quality, brand awareness and brand image) on hotel restaurant food quality satisfaction and brand loyalty among international and local travellers in Malaysia.

A total of 354 valid questionnaires were collected to assess the measurement and structural model for reflective latent constructs using the two steps of covariance-based structural equation modelling.

The research findings suggest that while travellers’ nationality moderates the path between physical quality, staff behaviour and brand image on food quality satisfaction, it does not moderate the relationship between brand quality and brand awareness on food quality satisfaction. This finding further suggests that towards enhancing service quality and brand equity on food quality satisfaction and brand loyalty, managers should understand the important distinctions between international and local travellers.

Previous studies have mostly examined the impact of brand equity and service quality towards tourist satisfaction and very few studies have examined the impact of restaurant service quality and brand equity on consumer satisfaction and brand loyalty specifically among international and local travellers. This is one of the first few studies providing empirical evidence and discussions in this area.

Wall-modeled large eddy simulation (LES) is a practical tool for solving wall-bounded flows with less computational cost by avoiding the explicit resolution of the near-wall region. However, its use is limited in flows that have high non-equilibrium effects like separation or transition. This study aims to present a novel methodology of using high-fidelity data and machine learning (ML) techniques to capture these non-equilibrium effects.

A precursor to this methodology has already been tested in Radhakrishnan et al. (2021) for equilibrium flows using LES of channel flow data. In the current methodology, the high-fidelity data chosen for training includes direct numerical simulation of a double diffuser that has strong non-equilibrium flow regions, and LES of a channel flow. The ultimate purpose of the model is to distinguish between equilibrium and non-equilibrium regions, and to provide the appropriate wall shear stress. The ML system used for this study is gradient-boosted regression trees.

The authors show that the model can be trained to make accurate predictions for both equilibrium and non-equilibrium boundary layers. In example, the authors find that the model is very effective for corner flows and flows that involve relaminarization, while performing rather ineffectively at recirculation regions.

Data from relaminarization regions help the model to better understand such phenomenon and to provide an appropriate boundary condition based on that. This motivates the authors to continue the research in this direction by adding more non-equilibrium phenomena to the training data to capture recirculation as well.