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Purpose The purpose of this study is to examine how Industry 4.0 (I4.0) implementation might improve marketing performance (MP). Early adopters now have the chance to capitalize on the advantages of this successful implementation owing to the transition to I4.0. To improve MP, businesses must be able to identify and manage their effective implementation of I4.0 technologies, which are essential to improve industrial performance. Design/methodology/approach A survey was created and sent to 311 samples of manufacturing companies. To investigate the hypothesis created in this context, the study includes a survey-based analysis. To present the study’s findings, partial least squares-structural equation modeling has been used. Findings According to the findings, it can be concluded that an efficient implementation of Industry 4.0 (EII) can improve MP by positively impacting consumer loyalty and increasing customer loyalty (CL) positively enhancing by product customization (PC). The study’s key results, however, are how both PC and CL affect MP. Research limitations/implications The intensive production technologies that are at the center of I4.0 will be better understood by professionals thanks to this study. The Internet of Things, artificial intelligence, additive manufacturing, sophisticated robots and many more are examples of these technologies. I4.0’s application strengthens efficiency and high-quality production. The I4.0 concept is gaining popularity in both developed and emerging countries due to its higher performance. Additionally, business people are actively working to implement I4.0 and make it a big success. Originality/value The study identifies the successful adoption of I4.0 that has a substantial impact on businesses’ MP. However, there is a lack of noteworthy studies that can concentrate on the marketing reach with I4.0 deployment. As a result, the goal of the current research is to comprehend how I4.0 will affect MP.

According to Global Eco-labeling Network (2011) \"eco-label helps in identification of the product or services which are environmentally preferable based on the life cycle concern\" (Bratt et al., 2011).Most of the consumer prefer eco-labeled product instead of unlabeled one because eco-labels are the indication of environmental quality product (Brecard, 2014). The value of average AVE is found 0.62, and the average R2 is 0.172. [...]the calculated value of GoF is 0.32 which shows a medium model fit for the study. [...]the authors have provided a modified model i.e. Figure-3 in the study that is based on the results of hypothesized model shown in the Figure- 1. Eco-labeling is a multidimensional research topic among the researchers in the current time (Prieto-Sandoval, 2016). [...]in future research, this topic can be more explored with large sample size and with multiple locations.

PurposeThis study aims to identify how ICT appeared as an emergent business strategy and to investigate the impact of ICT adoption factors on the perceived benefits of micro, small and medium enterprises (MSMEs).Design/methodology/approachA total of 393 responses from Indian small and mid-size enterprises (SMEs) were collected for the final analysis. The study presents the partial least-squares structural equation modeling with the Chi-square test and descriptive analysis as a methodology based on numerous independent variables and one dependent variable.FindingsThe findings indicate that ICT adoption during and following the COVID-19 pandemic is constant in nature of the enterprise. Moreover, the results indicate that different adoption of ICT factors influence on perceived benefits of organizational performance of Indian MSMEs that lent good support except for the regulatory framework.Research limitations/implicationsThe implications of the current research help Indian MSMEs to take investment decisions in various technologies that help the organization. Furthermore, managers and practitioners help the organization in deciding which technology adoption factors are more critical to the betterment of the organization.Originality/valueThe study found certain ICT adoption factors that have a significant role in organizational performance in Indian MSMEs. Moreover, during COVID-19, investigate ICTs' role as a business strategy.

The studies highlightthat only one billion tons were obtained out of four billion tons of solid waste in the world and small value recovered out of it. In such a way, indeed, there is still a wide scope in collecting and converting the waste into value. In the industrial set-up because for various reasons, the production process is not optimum towards the conversion of resources into value. Hence, some defective items are also produced during production, which is a kind of waste for a firm. The firm manages such wastes by selling them into the secondary market at lower prices. To deal with the waste, firm also collects the used products from the customer under the circular economy concept. Later, these used collected products were recycled and used raw material for further production. The way to collect the used product from the market and to use them again as raw material is a remarkable effort to reduce waste. The objective of the research is to optimize the unit time profit and the expected resultant costs by considering the concept of recycling waste in the fuzzy environment for the imperfect production process. The sustainable production model is developed with the system cost with the fuzzy approach and validated the model with an illustration. The unit time profit has been maximized with the help of an analytical approach. A sensitivity analysis is also performed to check the stability of the model and the model is found to be quite stable. The evaluation of the fuzzy system cost may provide the decision maker’s information regarding the system’s behavior uncertainties.

The concept of sustainable entrepreneurship is emerging due to the greening of the business environment. The objective of the present study is to distinguish the influencing factors for the entrepreneurial aspirants towards the sustainable entrepreneurship. It is an empirical study that incorporates 306 respondents. These respondents are young entrepreneurial aspirants. The study consists of four hypotheses that have been tested, and it was found that eco-friendly people (EFP) are not significantly linked to sustainable entrepreneurship. Whereas, green marketing factors (GMF), changing consumer behavior (CCB) towards green products, and favorable market conditions (FMC) have a significant and positive impact on sustainable entrepreneurship.

Developing countries have still shortage of housing due to natural disasters. Houses get destroyed wholly or partly and it causes the increase of lack of housing stock of a country. In disaster management cycle, rehabilitation or reconstruction is an important issue to protect, reduce or mitigate the effect of disasters. For sustainable urban development, disaster consideration is as important as it helps to maintain the development growth rate and tries to make sure that the settlements are in a stable way. The paper describes the natural disasters and issues related to proper disaster housing for sustainable urban development on the basis of literature.

The purpose of this study is to investigate the Indian logistics network and verify the economic growth led by logistics performance. The paper views the logistics network as a unified entity comprising four sub-networks: Information and Communications Technology (ICT), transportation, warehousing, and institutional framework, within which service providers carry out functions of movement, storage and delivery. The hypotheses have been formed on the basis of existing literature and further verified with the help of in-depth discussion on the information. The study finds that the Indian logistics network has a positive relationship with Indian economic growth led by Indian logistics performance.

•This study evaluated the humoral antibody response after first and second doses of SARS-CoV-2 vaccine CovishieldTM and CovaxinTM in Indian health-care workers.•Combined results of both vaccines showed 95% seropositivity to anti-spike antibody, 21–36 days after the second completed dose.•Seropositivity rates were higher in Covishield recipients compared to Covaxin in the propensity-matched analysis of SARS-CoV-2 naïve participants.•Gender, presence of comorbidities and the type of vaccine received were independent predictors of antibody response after the second dose. We assessed the humoral immune response of both ChAdOx1-nCOV (CovishieldTM) and BBV-152 (CovaxinTM) vaccines in Indian health care workers (HCW). A Pan-India, Cross-sectional, Coronavirus Vaccine-induced Antibody Titre (COVAT) study was conducted that measured SARS-CoV-2 anti-spike binding antibody quantitatively, 21 days or more after the first and second dose of two vaccines in both severe acute respiratory syndrome (SARS-CoV-2) naïve and recovered HCW. Primary aim was to analyze antibody response (seropositivity rate, Geometric Mean Titre [GMT] and 95% Confidence Interval [CI]) following each dose of both vaccines and its correlation to age, sex, blood group, body mass index (BMI) and comorbidities. Here we report the results of anti-spike antibody response after first and two completed doses. Among the 515 HCW (305 Male, 210 Female) who took two doses of both vaccines, 95.0% showed seropositivity to anti-spike antibody. However, both seropositivity rate and GMT (95% CI) of anti-spike antibody was significantly higher in Covishield vs. Covaxin recipients (98.1 vs. 80.0%; 129.3 vs. 48.3 AU/mL; both p < 0.001). This difference persisted in 457 SARS-CoV-2 naïve and propensity-matched (age, sex and BMI) analysis of 116 participants. Age > 60-years, males, people with any comorbidities, and history of hypertension (HTN) had a significantly less anti-spike antibody GMT compared to age ≤ 60 years, females, no comorbidities and no HTN respectively, after the completion of two doses of either vaccine. Gender, presence of comorbidities, and vaccine type were independent predictors of antibody seropositivity rate and anti-spike antibody titre levels in multiple logistic and log transformed linear regression analysis. Both vaccine recipients had similar solicited mild to moderate adverse events and none had severe or unsolicited side effects. Both vaccines elicited good immune response after two doses, although seropositivity rates and GMT of anti-spike antibody titre was significantly higher in Covishield compared to Covaxin recipients.

Summary Cytokinin group of phytohormones regulate root elongation and branching during post‐embryonic development. Cytokinin‐degrading enzymes cytokinin oxidases/dehydrogenases (CKXs) have been deployed to investigate biological activities of cytokinin and to engineer root growth. We expressed chickpea cytokinin oxidase 6 (CaCKX6) under the control of a chickpea root‐specific promoter of CaWRKY31 in Arabidopsis thaliana and chickpea having determinate and indeterminate growth patterns, respectively, to study the effect of cytokinin depletion on root growth and drought tolerance. Root‐specific expression of CaCKX6 led to a significant increase in lateral root number and root biomass in Arabidopsis and chickpea without any penalty to vegetative and reproductive growth of shoot. Transgenic chickpea lines showed increased CKX activity in root. Soil‐grown advanced chickpea transgenic lines exhibited higher root‐to‐shoot biomass ratio and enhanced long‐term drought tolerance. These chickpea lines were not compromised in root nodulation and nitrogen fixation. The seed yield in some lines was up to 25% higher with no penalty in protein content. Transgenic chickpea seeds possessed higher levels of zinc, iron, potassium and copper. Our results demonstrated the potential of cytokinin level manipulation in increasing lateral root number and root biomass for agronomic trait improvement in an edible legume crop with indeterminate growth habit.