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Construction trade unions have been a vital force in improving the job standards and wellbeing of trade workers. However, the union membership in the construction industry has dropped by half between 1983 and 2017. The objective of this study is to identify and assess the controlling factors of construction electrical trade unionization in the United States.

The study involved four main steps. Literature review and industry townhall meetings were conducted to identify the electrical trade unionization factors. A new unionization trend metric was developed using available union market share data to quantify the growth and decline of local unions. Mixed-mode surveying was used to collect questionnaire and interview data on the unionization factors in different local units of the electrical trade union. Finally, the survey data from the questionnaire and interviews were merged and their correlation with the unionization trend data was assessed.

The study found that the unionization of this specialty trade is dependent on increasing the crew ratio, expanding the non-apprenticeship union membership program, organizing larger contractors, and continuing the union focus on public and heavy industrial projects.

The study contributes to the construction management body of knowledge by providing a data-driven industry-wide assessment of the factors that affect electrical construction unionization. The study advances the understanding of construction trade unions by narrowing the theory-practice knowledge gap, illustrating the use of macro quantitative empirical research methods, and developing a new unionization trend metric.

The purpose of this study is to monitor suspended particulate matter (SPM), PM2.5 and source apportionment study for the identification of possible sources during the year 2018–2019 at Raipur, India.

Source apportionment study was performed using a multivariate receptor model, positive matrix factorization (PMFv5.0) with a view to identify the various possible sources of particulate matter in the area. Back-trajectory analysis was also performed using NOAA-HYSPLIT model to understand the origin and trans-boundary movement of air mass over the sampling location.

Daily average SPM and PM2.5 aerosols mass concentration was found to be 377.19 ± 157.24 µg/m³ and 126.39 ± 37.77 µg/m³ respectively. SPM and PM2.5 mass concentrations showed distinct seasonal cycle; SPM – (Winter ; 377.19 ±157.25 µg/m?) > (Summer; 283.57 ±93.18 µg/m?) > (Monsoon; 33.20 ±16.32 µg/m?) and PM2.5 – (Winter; 126.39±37.77 µg/m³) > (Summer; 75.92±12.28 µg/m³). Source apportionment model (PMF) have been applied and identified five major sources contributing the pollution; steel production and industry (68%), vehicular and re-suspended road dust (10.1%), heavy oil combustion (10.1%), tire wear and brake wear/abrasion (8%) and crustal/Earth crust (3.7%). Industrial activities have been identified as major contributing factor for air quality degradation in the region.

Chemical characterization of aerosols and identification of possible sources will be helpful in abatement of pollution and framing mitigating strategies. It will also help in standardization of global climate model.

The findings provide valuable results to be considered for controlling air pollution in the region.

The purpose of this paper is to develop an interpretive structural modeling (ISM) of barriers related to viability of Power Distribution Companies (discoms) in India.

Feedback from the Experts of Indian power sector has been taken as the basis to develop the model for barriers to viability of discoms, where major barriers have been identified through extent review of literature and through discussions with experts in the power sector keeping the viability of discoms in focus, and the hierarchical structure of barriers has been developed using ISM.

An interpretive structural model has been developed for discom-related factors (barriers) affecting its viability. The hierarchical structure portrays the impeding factors of viability and showcases that lack of regulatory effectiveness, inadequate tariffs and lack of government’s expenditures on power sector are the key barriers.

This paper has implications for both practitioners and academics. For practitioners, it provides an indicative list of major barriers affecting the viability of Indian discoms. For academics, the methodology used provides a mechanism to conduct an exploratory study by identifying the key variables of interest and emphasizing their interactions through hierarchical structures.

The proposed model for barriers to viability of discoms developed through qualitative modeling technique is a pioneering effort altogether in the context of power distribution companies in India. Understanding contextual relationships among key barriers to viability of discom’s is neglected in existing literature, and this paper makes a contribution in this regard.

The purpose of this paper is to present a methodology to analyze the risks present in perishable food supply chain and to determine the most effective risk mitigation strategies. It is achieved by understanding the dynamics between various risks in perishable food supply chain and modeling them using interpretive structural modeling (ISM).

Four categories and 17 types of risk are established from literature and conducting brainstorming sessions with managers/engineers in Indian dairy firms. A methodology is proposed using ISM, risk priority number and risk mitigation number to prioritize risk mitigation strategy decisions for the dairy industry.

For a perishable food supply chain, risk positioned at lower levels (levels 1 or 2) in the hierarchy should be targeted first, while formulating mitigation strategies. To investigate further, risk- enabling factors which are identified for an Indian dairy firm for these levels 1 and 2 risks and mitigation strategy prioritization show that supplier side risks are more dominant followed by market risks and process risks.

This proposed methodology has not been statistically validated or empirically tested, and factors taken are in the Indian context, but the authors believe that the study is highly relevant to other markets as well because the ISM-based analysis is for generic perishable food supply chain environment.

This study provides a useful approach to managers/decision makers to identify, analyze and prioritize risk in the supply chain. It also provides insights into the mutual relationships of supply chain risks which would help them to focus on the effective risk mitigation strategies formulation. The study provides the insights to benchmark and risk management in the dairy industry environment with priority considerations.

This paper provides an integrated approach to identifying, quantify, analyze, evaluate and mitigate the risks of perishable food (in the dairy environment) in the Indian context.

This paper aims to examine the role of information and communication technology (ICT) in the knowledge creation practices adopted by a health care organization. The organization is delivering care to patients of a genetic disorder, called the sickle cell, in tribal communities. The paper identifies how ICT intermediates knowledge creation practices across the organizational boundaries wherein tribal patients, front-line counselors and expert physicians interact, which then produces context-specific, evidence-based medicine (EBM).

The knowledge-in-practice approach is adopted to conduct an ethnographic study of sickle cell care practices in a non-profit health care organization in Western India. The analysis focuses on ICT-mediated interactional practices among the physicians, front-line counselors, tribal patients and their families, for more than a year-long observation. These are supplemented with informal and formal interviews, archival records and vignettes based on several episodes to explicate the key knowledge creation practices.

Technology-mediated informative interactions at organizational boundaries can bridge socio-linguistic and interpretive barriers between actors, while also providing a generative structure that leads to the creation of longitudinal clinical evidence about a rare genetic disorder. Three specific ICT-entwined knowledge creation practices emerge, namely, knowing the community, increasing interactional engagement and constructing gradients of socio-clinical history. These practices generate organization-wide knowledge about the social and clinical dimensions of the genetic disorder. The findings are presented through vignettes and a novel conceptual framework.

This study identifies various useful knowledge creation practices in health care delivery for resource-constrained emerging economy contexts. Further, the study suggests that the involvement of local front-line actors and ICT can become important resources in the delivery of health care in these settings.

A novel framework is developed which demonstrates knowledge creation at organizational boundaries wherein the actors use ICT-based practices for effective delivery of health care. The proposed framework may be used by health care organizations in similar contexts providing care to marginalized communities.

The purpose of this paper is to investigate the role played by service quality (SQ) in manufacturer–distributor working partnerships in the context of Indian small and medium enterprises (SMEs), and present two models which propose and validate that contributions toward SQ, made by both the manufacturing unit and distribution firm lead to satisfaction which consequently results in business-to-business (B2B) loyalty.

The research design for this study includes a combination of literature review, exploratory interviews with a focus group and a questionnaire survey conducted through interview schedule from 101 information rich and willing respondents working in SMEs of northern India.

The paper brings out scales foe measuring organizational (internal) and distributor (external) SQ. Further, two models using structural equation modeling are developed. Model-I examines the effect of organizational SQ on distributor SQ. Model-II examines the impact of distributor SQ on satisfaction and loyalty and also tests a set of four propositions related to their working relationship. The models are empirically tested and are found to be fit.

Future researchers may validate these scales, and empirically test the proposed models in alternate settings. Insights derived from this study may be transferred to other partnerships, which may exist in a manufacturing supply chain including suppliers, employees, retailers and end consumers.

This study would be of interest to SME practitioners interested in improving SQ with their distributors. The study also finds support for strengthening collaborative relationships with B2B partners to achieve a win-win situation.

There are very few empirical studies that measure SQ w.r.t. distribution function in SMEs and the concept is in nascent stage, especially in Indian setting.

The purpose of this paper is to investigate the impact of lean practices on performance improvement of process industries in India.

Based on a survey of Indian process industries, this paper proposes two sets of hypothesis to examine if there is any statistically significant impact of lean practices on certain specific performance metrics. First, the sample is classified into two classes of process industries: the adopters of lean and those who have not yet adopted the lean practices in their manufacturing operations. Then statistical tests are conducted to measure the differences in the level of performance between the two classes of Indian process industries with respect to nine performance measures. The survey results are augmented by two in-depth case studies. Case studies include one from lean adopter firms (a refinery) and another from the firms that have not yet adopted the lean practices (a primary metal manufacturing unit).

A survey result of 121 Indian process industries shows that adoption of lean practices results in a positive impact on inventory control, waste elimination, cost reduction, productivity, and quality improvement in process industries. On the other hand, based on the sample data on Indian process industries, no statistically significant improvement could be found on the lot size or space utilization between lean adopters and their counterparts.

This research provides guidance to the managers on how adoption of lean practices results in better performance in process industries in several operational areas.

To the knowledge, this study is the first attempt to analyze the impact of lean practices on a set of specific performance metrics in Indian process industry. Although this study focuses on the Indian process industry, the authors believe that findings of the research can inform other practitioners and researchers who are considering implementing lean in process industry sector in other developing countries like India.

This paper examines the decline of the largest working parliamentary democracy in India overtime, but accelerating since 2014 as the Bharatiya Janata Party (BJP), under the leadership of Prime Minister Narendra Modi at the Center (as the federal government is commonly known).

It is eclectic. Original constitution, along with commentaries, are studied. News outlets, government pronouncements, journal articles, and other media outlets — electronic and print — are also sourced.

The findings show how three important features in democracy — elections and their outcomes, control of information, and suppression of dissent are widely used to undermine constitutional democracy.

Democracy can be undermined without altering the Constitution itself. It also explains the irony of Modi’s popularity, given the undemocratic practices. As he may continue in office for some time to come, commanding a log-rolling majority, the need of the hour is a united, constructive and effective opposition to ensure a healthy working democracy.

To assess the state of supply chain management (SCM) research in India and to understand the research trends and methodologies used. The present study also aims to create a taxonomy of the subject areas researched in India.

The present study employed the systematic literature review methodology. Literature from 395 peer journal papers in 67 leading journals over a 20-year period (2000–2020 Quarter-1) was comprehensively reviewed and assessed.

SCM research in India started around the year 2000. The quantum of research was low (single digit) until 2010. There has been steady growth over the last decade, and over 50% of the total papers up until now has been published in the last four years. The present study created a three-tiered taxonomy of the subject areas and classified the papers as per it. The first tier (level-1) has seven categories (SCM strategy, network design, SCM processes and integration, IT systems, skills, performance measurement and others). A perusal of the newly created taxonomy revealed that, except for a few areas under level-1 categories (such as SCM processes and SCM strategy), the other level-1 categories have not seen much research. Similarly, there is little or no research in a large number of level-2 categories (such as outsourcing strategy, channel strategy, demand management, demand fulfillment, customer relationship management, integrated supply chain planning, new product development, returns, supply chain orientation, performance monitoring, performance improvement, SCM adoption process, SCM implementation issues and quantified benefits of SCM). Methodologically, the rigor of SCM research in India needs improvement.

A comprehensive taxonomy of SCM subject areas researched in India at three cascading levels was created for the first time in the present study. The taxonomy will help provide researchers with a clear understanding of the structure of the subject areas and help in identifying areas where research has been carried out and the subject areas where gaps exist for future research to proceed. The present study also provides an overview of the methodological rigor of SCM research in India and points out some of the limitations that researchers should avoid in future studies.

The purpose of this research paper is to study the enablers of Six Sigma and to establish relationship among them using interpretive structural modeling (ISM).

The research paper presents a blend of theoretical framework and practical applications. In the paper, 11 enablers of Six Sigma are identified from literature survey and experts' opinion and then these are validated by questionnaire survey in India. Finally, ISM is used to obtain structural relationship among these enablers of Six Sigma.

The ISM‐based model indicates that “effective top management leadership role”, “availability of funds” and “availability of expert training” are strategic requirements; “organizational culture”, “organizational infrastructure”, “quality maturity level of organization”, and “employees' adaptability and flexibility towards learning” are tactical requirements. “Statistical thinking”, “committed work force”, “reliable data gathering and retrieval system”, and “technical competence” are operational requirements for Six Sigma applications.

Enablers are the building blocks for deployment of Six Sigma. To know the key enablers and relationship among them can help many organizations to develop Six Sigma competences. It is one of the foremost attempts to model enablers of Six Sigma. The paper provides useful insights to the Six Sigma implementers, consultants, and researchers.