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This paper discusses how melt flow indices and flow behavior data can be used to predict polymer flow in real industrial processes. The ability to simulate flow behavior can help us establish a robust process that has a large processing window and which accommodates a natural variation. The effect of shear rate on viscosity is of far greater significance. It is therefore important to find the Newtonian region of the curve and set the process parameters in this region for a specified mould thickness. This paper also aims at modifying the flow behavior of polypropylene blends using various lubricants and flow promoters both low molecular weight and polymeric flow promoters.

The purpose of this paper is to understand whether the adoption of environmental management practices and firm characteristics influence the environmental benchmarking in Indian firms. It further looks into the impact of environmental benchmarking practices on firms’ environmental performance.

The study conducts a research survey to obtain the practitioner’s responses on the different aspects of environmental benchmarking. The survey data of 104 firms provide an empirical basis to investigate different research hypotheses using statistical techniques.

The results indicate that the firms which implement environmental management practices are more likely to adopt environmental benchmarking in one or more areas of their operations. The findings signify that firms which benchmarks for environmental purposes are more likely to have better environmental performance. The study confirms that large firms have significant chances of having environmental benchmarking compared to small and medium sized firms. The firms in different sectors have different relative preference to eight different areas of environmental benchmarking. However, all these preferences are not significant at 95 per cent confidence level.

The research use only qualitative responses on environment management aspects and could be further extended by incorporating the quantitative (emission) data of different industries.

The study provides an insight into the environmental benchmarking practices of Indian firms for better management of environmental performance of the firms.

The study investigates the experience and attitude of Indian firms to environmental benchmarking based on an empirical research. It adds to the knowledge in the field of environmental benchmarking in developing countries with specific focus on India.

The purpose of this study is to examine the subnational regional dimension of exports by small and medium-sized enterprises (SMEs) in India, one of the prominent emerging economies or “rising powers”.

To understand the forces driving the variation in subnational region’s share in international business of rising power SMEs, an analytical conceptual framework on regional export advantage (REA) was formulated based on the review of relevant theoretical and empirical literature. The model was estimated for Indian states using the most appropriate and recently developed econometric technique of fractional logit model.

The paper provides evidence that the emergence of exports by rising Indian power SMEs is geographically limited to a few select regions/states. Southern Indian states alone accounted for half of exports from SMEs in the organized manufacturing sector during 2000-2008, followed by Western India. The REA analysis has brought to the fore that regional stock of technological knowledge, availability of skill, port facilities, urban areas and foreign direct investment stocks are crucial factors determining states’ share in SME exports across technological subcategories. However, the size and sophistication of local demand continue to influence states’ efforts at enhancing exports by SMEs, at least those belonging to the medium- and high-technology categories.

The proposed empirical framework could be extended to include institutional and political economy factors. Its application to subnational regional shares in total exports by all firms taking into account fixed effects for regions may be another feasible line of future research.

Empirical findings recognize that appropriate strategies by subnational policymakers are important for a region to achieve a higher contribution in national SME exports. Subnational policy measures aimed at upgradation of regional technological assets and skill base through the promotion of technology clusters and R & D of local firms, facilitation and creation of better industry-university linkages and investments in education and training institution may help the states to gain higher export advantage.

This paper provides new analytics and insights into the role of subnational spaces in the internationalization of rising power SMEs from India and serves to contribute to the extant international business research that is predominantly occupied with “nation” as the unit of location.

The purpose of this paper is to study various reliability measures like reliability, mean time to failure (MTTF) and sensitivity of transformer including different parameters of insulating oil/paper as health index.

The reliability characteristics of transformer incorporating different parameters of insulating oil as well as paper have been evaluated using Markov process incorporating Gumbel–Hougaard copula, Laplace transforms and supplementary variable technique. The parameters taken into consideration are breakdown voltage (BDV) and moisture content (MC) of both insulating oil and paper, and other parameters considered are interfacial tension (IFT), dissipation factor (DF), degree of polymerization (DOP) and furanic content (FC) for insulating oil and paper, respectively. By probability consideration and continuity influence, difference-differential equations have been obtained for the considered model.

Transition state probabilities, reliability, MTTF and sensitivity of the transformer corresponding to different parameters of insulating oil and paper have been evaluated with the help of aforementioned technique. Variations of reliability with respect to time along with the variations of MTTF and sensitivity have also been examined. Remarkable points during the study have also been pointed out.

Reliability characteristics of the transformer have been evaluated including two parameters: insulating oil and paper with the help of supplementary variable technique, considering two different types of repairs incorporating Gumbel–Hougaard family of copula unlike done earlier. Reliability, MTTF and sensitivity of transformer have been analyzed considering the parameters: BDV, MC, IFT and FC of insulating oil, and BDV, MC, DOP, DF of insulating paper.

This paper aims to discuss the essential features, merits and drawbacks of the recently enacted Indian Real Estate Act, 2016, an economic reform measure pertaining to the real estate sector (RES). This paper analyses the impact of the Act and Union Budget 2016 on the inflow of foreign d irect investment (FDI) in India, and examines its ramifications on the world economy.

The study is based on secondary data sources, including consumer forum reports, investigative reports from national agencies, court decisions, government websites, real estate companies and industry associations. A sample survey on the implications of the Act has been conducted using Facebook and and through personal interaction with various stakeholders.

The Indian RES was unregulated prior to the passage of the Act, which has several provisions aimed at protecting the interest of consumers by tightening fraudulent practices of promoters/developers. Stakeholders are hopeful, but there is some apprehension. The government’s budgetary and fiscal support for infrastructure development has had an impact on the FDI inflow.

The Act is new, so there is not enough data to judge its real impact on the economy. However, it has started showing evidence of impact through a recent judgment by the Supreme Court of India punishing a promoter.

Regulating the Indian RES is a challenging task, but the new regulations are likely to provide confidence to foreign investors who may see India as a safety net for investment. This paper is timely and may help move things in this direction.

The purpose of the paper is to conduct a comprehensive bibliometric analysis and systematic review to examine the research landscape of women empowerment through participation in self-help groups (SHGs), identifying the eminent contributors, intellectual communities and future research agenda in the field of SHGs and women empowerment.

The global works of literature related to the theme of SHGs and women empowerment between 1998 and May 6, 2022 were scanned for bibliometric analysis and systematic review. A total of 176 English language documents from the Scopus database were extracted. Bibliometric analysis is conducted using Biblioshiny and VOSviewer software.

This study finds that SHGs are paramount in achieving rural women’s empowerment multidimensionally. Found that India is the most contributing country with 136 documents, and Ranjula Bali Swain and Fan Yang Wallentin are the most cited authors in the research field of SHGs and women empowerment. In addition, the paper proposes a comprehensive conceptual framework to portray rudimentary antecedents of women’s empowerment achieved through participation in SHGs.

This bibliometric analysis, along with a systematic review demonstrating a framework encapsulating the principal dimensions of women empowerment and their indicators, will be helpful to practitioners, government, policymakers and researchers working in the area of SHGs and women empowerment.

This study recognizes numerous significant contributions by eminent scholars and presents a concise review of the literature for novice researchers working in the area of SHGs and women empowerment.

Iron deficiency anaemia and zinc deficiency are major public health problems across the globe. Cereals and pulses are important vegetarian source of minerals like zinc (Zn) and iron (Fe), however, poor digestibility impairs proper availability of micro minerals in the body. Chickpea (Cicer arietinum L.) and cowpea (Vigna unguiculata L. Walp) were selected for study as they are important pulse crops consumed worldwide. Therefore, in order to remove antinutrients and enhance bioavailability of nutrients in chickpea and cowpea, extrusion cooking was selected as a technology and its impact was studied by an in vitro method. The paper aims to discuss this issue.

Four chickpea cultivars, two desi (K 850 and PUSA 362) and two kabuli (PUSA 1108 and PUSA 1053) and one cowpea (Gomati) cultivars were selected for the study. Pulses were processed in a laboratory using a single screw food extruder. Raw and extruded pulses were analysed for antinutrients content, micronutrients content (Fe, Zn) and their bioavailability.

Extrusion cooking significantly decreased phytate in all cultivars of chick pea and cowpea with highest reduction (72.92 per cent) in PUSA 362; similarly, tannin and trypsin inhibitor decreased by 87.5 and 71.54 per cent, respectively, in Gomati cultivar of cowpea. All cultivars showed significant increase in protein digestibility. Iron bioavailability in all samples enhanced significantly; however, only 50 per cent cultivars (K 850, PUSA 362 and PUSA 1108) showed improvement in Zn bioavailability.

The present research therefore brought the outcome as an enhanced in vitro protein digestibility and bioavailability of micro mineral and protein in certain pulses having minimized antinutrients. Therefore, it is concluded that extrusion cooking is an effective tool in enhancing protein and micro mineral bioavailability.

This research examines the effects of the context on the relationship between work design, learning mechanism and total quality management (TQM). The exploratory study examines the differential effects in context on how human resources and their activities are strategically managed for achieving TQM. Two theoretical frameworks – activity theory and contextual learning theory – are concurrently used for analysis. Specifically, the manufacturing companies, the authors examine are (1) technology-intensive company which has bought technology from a global foreign establishment (MU1), (2) technology-intensive companies having their own technology (MU2) and (3) labor-intensive units (MU3) of varying organizational sizes.

This case study-based research consists of 27 in-depth interviews with managers and employees of different hierarchies in each manufacturing unit. The authors interviewed them using semi-structured questions that were pre-validated by five senior HR experts from the manufacturing industry. Document analysis, multiple site visits and website content helped triangulation. The data are coded and analyzed using Dedoose software for qualitative research.

Activity diagrams for each manufacturing unit provides task and interaction analysis. Within and cross-case analysis address complexity and challenges of contextual reality, influences on work design and learning mechanism. HRD executives must recognize that there may be well-differentiated learning behaviors that align with organizational strategy. The learning behaviors may not be well-differentiated and become very dynamic. This dynamism may be characterized by double loop and single-loop learning feeding into each other.

This study provides substantial practical implications for HRD and other managers in the manufacturing sector.

The new theoretical framework adds to organizational behavior studies through multi-level and cross-contextual approach. It informs strategic combinations and interactions between internal and external context, and learning needs implicating work design and TQM.

Today, business model innovations leverage digital technologies to gain a competitive advantage and transform business processes. Blockchain is still gaining attention in specific fields and bringing value to business models. There is a dearth of research on how blockchain decentralized autonomous organizations impact organization business model innovations. This study attempts to contribute the body of knowledge based on a review of decentralized autonomous organizations and the business model innovation literature using the integrative and generative approach.

The paper offers an analysis of decentralized autonomous organizations based on digital business models built on the well-established work by Osterwalder and Pigneur (2010). The practical multilayered decentralized autonomous organizations architectural implementation model design is achieved using practical archetypes depicted in the proposed decentralized autonomous organizations business model. The paper evaluates a marketplace comprising 13 decentralized autonomous organizations led platforms with core functionalities.

The paper delivers decentralized autonomous organizations led digital business model canvas elements to explain decentralized autonomous organization business model innovations. It presents the underlying multilayered decentralized autonomous organizations architectural implementation model required to conceptualize a practical business model with an enterprise-ready target operating model.

The paper contributes directly to the practical decentralized autonomous organizations business model canvas, exemplifying the nine elements of decentralized autonomous organizations’ characteristics for any organizational transformation. The tools and accelerators (business model, layered architecture, target operating model and product mapping) developed in the paper address the managerial challenges of redesigning the decentralized business models.

The proposed decentralized autonomous organizations smart contract powered business model provide a digital platform to adhere to rules, follow policies, preserve principles and develop consensus without human interventions. The paper shapes the first of its kind decentralized autonomous organizations marketplace evaluation while mapping it to decentralized autonomous organizations layered architecture product requirement considering business model dimension to adopt actionable target operating model.