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The purpose of this paper is to assess steady, two-dimensional natural convection flow of a viscoelastic, incompressible, electrically conducting and optically thick heat-radiating nanofluid over a linearly stretching sheet in the presence of uniform transverse magnetic field taking Dufour and Soret effects into account.

The governing boundary layer equations are transformed into a set of highly non-linear ordinary differential equations using suitable similarity transforms. Finite element method is used to solve this boundary value problem. Effects of pertinent flow parameters on the velocity, temperature, solutal concentration and nanoparticle concentration are described graphically. Also, effects of pertinent flow parameters on the shear stress, rate of heat transfer, rate of solutal concentration and rate of nanoparticle concentration at the sheet are discussed with the help of numerical values presented in graphical form. All numerical results for mono-diffusive nanofluid are compared with those of double-diffusive nanofluid.

Numerical results obtained in this paper are compared with earlier published results and are found to be in excellent agreement. Viscoelasticity, magnetic field and nanoparticle buoyancy parameter tend to enhance the wall velocity gradient, whereas thermal buoyancy force has a reverse effect on it. Radiation, Brownian and thermophoretic diffusions tend to reduce wall temperature gradient, whereas viscoelasticity has a reverse effect on it. Nanofluid Lewis number tends to enhance wall nanoparticle concentration gradient.

Study of this problem may find applications in engineering and biomedical sciences,e.g. in cooling and process industries and in cancer therapy.

The purpose of the current article is to explore the rotational behavior on nanofluid flow over an exponentially stretching surface. Heat and mass flux are formulated upon Cattaneo–Christov theory.

Effect of thermophoretic, Brownian motion and thermally convective conditions is further retained. Novel boundary layer approximations are applied to transform the governing equations of continuity, momentum, energy and nanoparticle volume fraction. Convergent series solutions are obtained to manage the rotating flow with the aid of homotopy analysis method (HAM).

Depending on the several dimensionless parameters including the local rotation parameter the Prandtl number Pr, the thermophoresis parameter, the Brownian motion parameter, the Lewis number Le, Biot number Bi, Deborah number in terms of heat flux relaxation parameter and Deborah number in terms of mass flux relaxation parameter with the dimensionless physical quantities are deliberated through graphs. Present results are also likened with the foregoing results in significance.

No such assumptions have been made for the development of analytical solution so far.

The purpose of this study is to classify and analyze the impact of antecedents studied in the extant literature on two levels of SME alliance performance – alliance-level and firm-level.

Using online databases and the bibliography section of the selected articles, 45 peer-reviewed studies specifically analyzing the impact of antecedents on the performance of SME alliances at the two levels were studied to gain insights.

The study differentiates between the impact of antecedents on the two levels of SME alliance performance, alliance-level and firm-level, and finds that certain antecedents, such as absorptive capacity, corporate entrepreneurship, control, network dimensions, partner opportunism and partner reputation, have a peculiar impact on a single level while other antecedents such as trust, commitment and cooperation, have an influence on performance at both levels. Also, the impact of these antecedents is hypothesized to be weak or strong, depending upon the results obtained by the papers in the review.

In a first-of-its-kind approach, the paper provides a conceptual insight into the differentiating impact of antecedents on SME alliance performance at both levels, as opposed to the unitary analysis approach used in the extant literature. The model provided by the study can be used by researchers to gain a systematic understanding of how alliance outcomes are affected.

While the extant literature remains largely ambiguous on the role of antecedents causing variance in SME alliance outcomes, this paper serves to bridge this gap and enhance the understanding of practitioners by systematically analyzing how specific antecedents affect SME alliance performance at both levels.

As opposed to the unitary approach used in the extant literature, which does not differentiate between the two levels of SME alliance performance, this paper arranges and categorizes these studies based on the level at which alliance performance has been analyzed. Furthermore, the paper identifies the impact of antecedents at each level, thereby providing pioneering insights on understanding SME alliance outcomes.

Given the increasing volatility, uncertainty, complexity, and ambiguity, egalitarian ecosystems may play an important role to establish equality among various stakeholders. With this idea, the study aimed to understand conflicts and challenges in creating an egalitarian ecosystem in the application-based cab aggregator (ABCA) market.

Narratives of various stakeholders involved in the ABCA business were collected. The study involved narrations from direct and indirect stakeholders up to saturation till common themes were found. Grounded theory methodology using constant comparison was explored to interpret the results. After the results were obtained, root cause analysis was undertaken using the why–why methodology to understand ground-level reality.

In total, 13 major issues were identified using grounded theory for narrative analysis that cab aggregator companies, driver-partners, and riders faced. The stakeholders' inability in the ecosystem to see each other's problems could be accorded to their self-interest, rational boundedness and asymmetric information. These findings collude with Banaji et al. (2004) and Chugh et al. (2005).

This study explained each stakeholder's perspectives about their counterparts that influence non-egalitarianism. The study further suggested possible areas for solving the issues and promoting cooperation.

The purpose of this paper is to provide the insights on the challenges influencing rural start-ups. It provides insights with regards to managerial, operational, marketing and finance-related challenges influencing the rural start-ups in the study. The study aims to expand the domain of start-ups by including a broader range of challenges and related aspects found in the start-up literature.

The paper opted for an exploratory study using the open-ended approach of grounded theory, including 61 rural start-ups operating in Karnataka, India. The data were analysed through non-parametric test to understand the comparison between different sectors of rural start-ups.

It suggests that marketing techniques and infrastructure challenges influences the rural start-ups. Therefore, success of start-ups is influenced by these related variables.

Because of the chosen research approach, the research results may lack generalizability. Researchers are therefore encouraged to test the proposed propositions further in the area of challenges and growth in the domain of managerial, infrastructure, marketing, finance, human resource and logistics in rural start-ups. The study is restricted to rural start-ups located in districts of Karnataka, India.

The paper includes implications for managing the challenges for enhancing the growth of start-ups. The paper provides insights on the significant challenges witnessed by the start-ups and provides directions for the growth of start-ups.

This paper fulfils an identified need of the start-ups in rural sector and contribute to the growth of start-ups in rural sector of India.

This paper fulfils an identified need to study how rural start-ups operate and create a niece in the growth of Indian economy.

The aim of this study is to investigate and clarify how the triple helix actors can effectively implement the concepts of Kaizen to navigate and overcome the complex obstacles brought on by the global COVID-19 pandemic.

Through broad literature reviews, nine common parameters under triple helix actor have been recognized. A regression analysis has been done to study how the triple helix actors’ common parameters impact Kaizen implementation in business operations.

The results of this study revealed insightful patterns in the relationships between the common parameters of triple helix actor and the dependent variables. Notably, the results also showed that leadership commitment (LC) emerges as a very significant component, having a big impact on employee engagement as well as organizational performance.

In addition to offering valuable insights, this study has limitations including the potential for response bias in survey data and the focus on a specific set of common parameters, which may not encompass the entirety of factors influencing Kaizen implementation within the triple helix framework during the pandemic.

The originality of this study lies in its comprehensive exploration of the interplay between triple helix actors and Kaizen principles in addressing COVID-19 challenges. By identifying and analyzing nine specific common parameters, the study provides a novel framework for understanding how triple helix actors collaboratively enhance organizational performance and employee engagement during challenging times.

This study aims to examine the implementation of agile practices in Industry 4.0 to assess the financial performance measurements of manufacturing firms. It also investigates the relationship between supply chain performance and financial performance.

The study is based on an experimental research design by collecting data from 329 responses from key officials of manufacturing firms. The analyses are carried out to explore this modern concept with the help of the SPSS program, which is used to conduct a confirmatory factor and reliability analysis and Smart-partial least square (PLS) version 4.0 with structural equation modeling.

This research demonstrates the positive effect agile supply chain strategies in Industry 4.0 may have on manufacturing companies' financial performance as a whole. Everything throughout the supply chain in Industry 4.0, from the manufacturers to the end users, is taken into account as a potential performance booster. The values obtained from the model's study show that it is both dependable and effective, surpassing the threshold for such claims. The research is supported by factors like customer involvement (CUS), continuous improvement (CI), integration (INT), modularity (MOD), management style (MS) and supplier involvement (SI) but is undermined by factors including postponement (PPT).

According to the findings of the study, Industry 4.0 firms' financial performance and overall competitiveness are significantly improved when their supply chains are more agile. A more agile supply chain helps businesses to more rapidly adapt to shifts in consumer demand, shorten the amount of time it takes to produce a product, enhance product quality and boost customer happiness. As a consequence of this, there will be an increase in revenue, an improvement in profitability and continued sustainable growth.

There are literary works available on agile practices in various fields, but the current study outlines the need to understand how supply chains perform financially under the mediating effect of agile supply chains in Industry 4.0 which contribute most to the organization's success. The study will aid companies in understanding how agile practices will further the overall performance of the organization financially.

One major impact of demonetisation is rise of cashless or digital transactions. The extension of the transition from a cash-based to a cashless economy has expanded even more now, based on the lessons learnt from the COVID-19 pandemic. This chapter discusses the various electronic payment methods used by the people, the frequency of using these methods and also to examine the reasons of changing habits in using electronic modes of payments. This study is both theoretical and empirical in nature, based on both primary and secondary data. Digitalising rural and poor population is much in talks but earlier literature did not acknowledge the status of slums and its inhabitants. Slum dwellers are the ones to be in the margin, and therefore are subject to more societal sufferings. In the context of female population particularly, the mechanism of urbanisation and increment in urban slums are subject to unique causes and unique consequences, and still these challenges are greatly underexplored by earlier literature in this field. Thus, the aim of this chapter is to find out the schemes, achievements and challenges for the cashless transaction practised by the female slum dwellers. To be extremely explicit, the sample area consists of two biggest slums of Kolkata and 100 female respondents are inquired for this study, taking 50 from each slum. For analysing the collected data, descriptive statistics tools and percentage analysis have been used. This chapter will also analyse India's gradual transition towards a cashless economy. Through the examination of digitalisation of slum dwellers, this study also attempts to identify whether digital modes result in empowerment of these women, of any kind. By paying a visit in the discussion of women empowerment, this chapter wants to revisit the 2030 Agenda for Sustainable Development and its 17 Sustainable Development Goals (SDGs) adopted by world leaders in 2015, that embodies a roadmap for progress which leaves no one behind. The questions impacting achievement of SDG through women empowerment may not seem of utmost concern during the current situation but is equally important and needs to be discussed on a platform of its own.

This paper aims to evaluate and prioritize the key supplier selection indicators and to establish the relationship between available alternatives and selected indicators by using step-wise weight assessment ratio analysis (SWARA) and weighted aggregated sum product assessment (WASPAS).

Authors have extracted the supplier selection criteria from literature and used a combined SWARA-WASPAS method to evaluate and rank the criteria’s. SWARA is applied for evaluating and weighting selection criteria, whereas WASPAS helped in evaluating different available alternatives based on supplier selection indicators.

Finding from SWARA suggests that supplier management is the high weighted criteria followed by information sharing and joint actions. WASPAS was used to evaluate the available alternatives and supplier A1 got the highest priority. Additionally, sensitivity analysis indicates the different scenarios for the best supplier selection.

Working executives can use the SWARA for assessment of weights of finalized indicators for their firm in the cement industry. Further, the calculated weights can be used for product and sum weightage through WASPAS to finalize the best supplier.

The originality of the manuscript lies in the sector and methodology. Author(s) applied the SWARA and WASPAS method for supplier selection in the Indian cement industry that will help working executives to evaluate their supply chain partners.

This study aims to review and organize the research articles which focused on the impact of COVID-19 pandemic in the supply chain (SC) domain through a bibliometric and network analysis.

Initially, a total of 772 research articles with selected keywords were retrieved from the Scopus database for the year 2020 (with the commencement of COVID-19 outbreak). After the filtration and refinement, 484 research articles were found relevant and unique. Further, this study systematically reviews and evaluates the 484 research articles including influential authors, keys journals, influential research work, and collaboration among the countries and institutes with the help of bibliometric analysis tool. The emergent research clusters are identified and established.

The findings reveal that the total number of related publications are steadily growing with the United States leading the way. European countries have made notable accomplishments as well. In addition, both the most cited publications and the keyword distribution provide research guidance for future research.

This study focuses on the need and advancement of the literature on the impacts of the COVID-19 pandemic on SCs to frame a research agenda for researchers and practitioners.

The present study offers future research directions in the area of SC under the pandemic situation.