Search results

By the mid-19th century the British colonial state introduced liberal education to India. Amongst various disciplines, political economy illustrates the concerns of the colonial state with the education of Indians, and its anxiety with quelling political discontentment. The emerging Indian nationalist intelligentsia also utilized ideas from classical political economy, first taught in educational institutions, to critique colonial policy and proposed the development of “Indian Economics”, suited to national economic interests. This paper explores the development of political economy as a specific knowledge form in Calcutta University and Bombay University, and its connection with colonial educational policy^.

This study relies primarily on university records and the proceedings of the Education Department to bring out the politically sensitive nature of the teaching of economics in colonial India.

The study finds that political economy grew from being a minor part of the overall university syllabi to becoming part of the first university departments created in early-20th-century India. The government and nationalist forces both found the discipline to be relevant to their respective agendas. The circulation of knowledge theoretical framework is found to be relevant here.

The history of political economy in Indian universities, especially during the 19th century, has not been dealt with in any detail. This study tries to fill this gap. The close connection between politics and the teaching of economics has also not been studied closely, which this paper does.

This paper aims to employ social cognitive theory (SCT) as a theoretical framework to investigate the influencing factors affecting the knowledge transfer effectiveness of construction workers in China. The mediating role of their knowledge transfer willingness is also assessed.

A questionnaire on knowledge transfer among Chinese construction workers is designed and subsequently analyzed by structural equation modeling (SEM), with a total sample of 288 construction workers.

The SEM results show that the knowledge self-efficiency, blood and geographic relationships, and trust relationship promote knowledge transfer willingness and positively influence the knowledge transfer effectiveness of construction workers. However, the effect of organizational culture on knowledge transfer willingness and effectiveness is nonsignificant.

The results are conducive to managers and governments formulating strategies to optimize the learning mechanism of construction workers and facilitate their obtaining of resources from the project, thus easing skill shortages and promoting the transformation of construction workers into industrial workers.

This paper innovatively proposes blood and geographic relationships as research variables, expanding their scope. Furthermore, SCT is applied to enable future research to better understand individual knowledge transfer behavior from both personal and environmental perspectives.

FIVE years ago a score or so of Work Study enthusiasts met in Holland to consider the desirability of creating an organic link between their national bodies. The following year, slightly increased in numbers, they gathered in Germany to create what is now the European Work Study Federation. Since then, through an annual Congress in Stockholm, London and Zurich, it has established itself as an international body.

The complex interplay of religion, reputation and repeated transactions among trade and business communities that dominate the Indian intermediary markets are detailed. Using prior historical sociological and ethnographic accounts, the author highlights some unique aspects of Indian merchant communities and the common elements that these share with other business communities in Asia. The analysis lends credit to the notion that marketing theory can gain substantially from a focus on identity, family and other forms of kinship relations. Strategic implications drawn from the analysis show that while foreign consumer goods firms cannot afford to ignore the large and growing Indian market, their success will depend to a large extent on their understanding of the intricacies of the Indian merchant communities that dominate various marketing channels.

The geographical scattering of physical facilities in conventional supply chains enforces firms to shift toward digital supply chains (DSCs). While switching to DSCs, the decision-making becomes more complex with an upsurge in the size of the manufacturing firms. The manufacturing firms need to develop supply chain quality management (SCQM) systems to improvise their processes for delivering advance products and services. For developing SCQM, the role of the digital supplier is significant, as they may recuperate the quality management systems (QMS) for enhancing the firm's performance. The purpose of this paper is to explore the factors that affect the selection of digital suppliers. The other purpose is to evaluate the alternatives for identifying the best supplier that enhances the QMS for DSCs.

The decision-making is complex for digital supplier selection (DSS) and thus, the study has utilized integrated SWARA-WASPAS methods for their critical evaluation. The stepwise weight assessment ratio analysis (SWARA) method has been utilized for identifying the weightage of factors and weighted aggregated sum product assessment (WASPAS) for assessing the digital suppliers to explore the best alternative. The integrated SWARA-WASPAS method is the most advance approach in multi-criteria decision-making (MCDM) for the evaluation of the factors.

The study reveals that supplier competency is the most significant factor in selecting digital supplier in DSC that may improve the product and service quality. The study also explores that manufacturing firms needs an efficient system for developing value for the internal and external partners that help them to cope up with the dynamic world. On the basis of the WASPAS results, supplier S₈ has been ranked as the best supplier who has highest competency in the form of responsiveness, resilience, sustainable practices and digital innovation.

The factors are assessed on the decision team of experts that may be biased and thus, the research may further be validated through empirical studies. The research has to be extended in other nations for exploring how organizations and customers are responding to the DSCs.

The study has given insights to the manufacturing firms to consider the crucial factors for DSS, as it affects the overall performance of the organizations. The decision makers of manufacturing organizations should consider the factors such as supplier competency, digital innovation and information sharing for value creation that may provide them better opportunities for developing their DSCs along with their digital suppliers to connect with stakeholders appropriately.

The improved SCQM aligned with DSS will offer quality products that are sustainable and provide social and economic benefits to the society. The DSS will be able to provide improvisation of the existing products and services for developing a sustainable value chains for the manufacturing organizations. This process will bring more transparency, viability and sustainability in the product and services. As a result, the DSC partners will be more transparent, viable and resilient.

The research on DSS and its importance in enhancing QMS is limited. This research is the novel approach to understand the criteria behind the selection of the digital suppliers’ role and their presence in enhancing the quality of products and services.

The purpose of this paper is to analyse the impact of high-speed railway (HSR) on industrial pollution emissions using the data for 285 prefecture-level cities in China from 2004 to 2016.

The research method used in this paper is the multi-period difference-in-differences (DID) model, which is an effective policy effect assessment method. To further address the issue of endogeneity, the DID integrated with the propensity score matching (PSM-DID) approach is employed to eliminate the potential self-selection bias.

The results show that the HSR has significantly reduced industrial pollution emissions, which is validated by several robustness tests. Compared with peripheral cities, HSR exerts a greater impact on industrial pollution emissions in central cities. In addition, the mechanism test reveals that the optimised allocation of inter-city industries is an important channel for HSR to mitigate industrial pollution emissions, and this is closely related to the location of HSR stations.

Previous studies have paid more attention to evaluating the economic effects of HSR, however, most of these studies overlook its environmental effects. Consequently, the impact of HSR on industrial pollution emissions is led by using multi-period DID models in this paper, in which the environmental effects are measured. The results of this paper can provide a reference for the pollution reduction policies and also the coordinated development of economic growth and environmental quality.

Sustainable strategic management (SSM) is an integrated concept that entails sustainability in the approaches and processes of strategic management. Banking being a rapidly growing industry in service sector, it is reasonably important to study the SSM and its integrated performance. This paper aims to study the sustainable-strategic (SS) factors of Indian banks that affects their endurance and prioritizes the banks based on their sustainable and strategic performance.

This study appertains a sustainable balanced scorecard (SBSC) framework to determine the SS factors and an integrated multicriteria decision making (MCDM) method to weigh the criteria and prioritize the banks' performance.

The criterion weightage signifies sustainability, followed by financial and internal business perspective to be a crucial dimension for the performance of banks. The banks, State Bank of India, HDFC Bank Ltd and Canara Bank are ranked top-most on the SS performance.

The insights from the study on SS factors and banks' performance can be further used by policy-makers and researchers to understand the sustainability assessing factors and focus on making policies and further studies to enhance the performance in this regard.

Banking is one of the potentially growing industry in service sector. It being a major part of economy's sustainable growth, it is essential to assess the SS factors that enhance their sustainable performance. There is dearth of study in this purview, for developing countries like India. Thus, this study critically analyses the strategic sustainability of Indian banking industry to ascertain the SS factors and prioritize the performance of banks based on criterion weightage and bank's SS operations.

The purpose of this paper is to identify the key facilitating factors for smart sustainable practices (SSP) and develop a project evaluation model (PEM) for SSP implementation in Nigeria and Hong Kong. SSP is coined from the integration of digital technologies such as Building Information Modelling (BIM) to facilitate sustainability practices.

The study employed a quantitative research design approach using empirical questionnaire surveys to solicit the opinions of 69 and 97 construction practitioners in Nigeria and Hong Kong. Purposive and snowball sampling techniques were used to identify the potential survey respondents. The fuzzy synthetic evaluation technique was used to develop the PEMs.

The findings revealed that adequate technical expertise of the SSP processes is critical in enhancing its implementation in Hong Kong and Nigeria; as well as the provision of training programs for specialists in smart and sustainable initiatives. Meanwhile, the study's findings advocated that for an SSP-enabled construction project, its project performance is mainly influenced by the client's satisfaction level and the early involvement of the project teams.

The study's results are limited to the Nigeria and Hong Kong construction industries.

Construction stakeholders such as the clients, developers, contractors can utilize the PEMs to determine and track SSP initiatives implementation in building projects in a reliable and practical way.

No tool has been developed for evaluating SSP initiatives at the project level in the construction industry. Using case studies of Hong Kong and Nigeria, PEM indices were developed to measure and track SSP implementation in construction projects.

This study aims to observe the impact of peripheral vision on construction safety. The study further intends to create awareness of eye diseases in construction safety, an important root cause for most construction-related hazards and accidents.

This study focuses on the impact of peripheral vision in terms of construction site safety. Experiments were conducted with construction employees with different qualifications, ages, expertise and previous safety training experience. The experiments were conducted with an experiment set consisting of a tangent screen to measure the peripheral angle of the participants. The study measured peripheral vision, which helped determine the vision field accordingly. In this context, a total of 32 participants were investigated in terms of their peripheral visual angle and the field of vision. The data collected were analyzed in terms of several statistical tests such as One-Sample t-test, multivariate ANOVA and multiple linear regression.

The results of the study indicated that there are significant differences in peripheral vision in terms of age of participants, work qualification, work experience, area of expertise and previous safety training experience. The study further revealed that most of the participants failed to satisfy both OSHA requirements about peripheral vision, and normal limits defined in the previous literature. The study further implies that participants, who reported previous sight problems or eye diseases are more vulnerable to construction site accidents.

Construction site safety remains a major concern for most construction companies despite the latest developments in technology. Several companies are struggling with poor safety performance, occupational injuries and illnesses, and work-related accidents resulting in fatalities. However, the root causes behind several construction accidents are still vague due to different dynamics in the construction industry. Among these root causes, poor sight, vision and or eye diseases constitute an important part. Hence, the study provides empirical evidence with the workers checked for eye health to help policymakers and industry practitioners in terms of developing awareness for eye-related injuries and accidents and review their safety programs accordingly.

The construction sector is a major contributor to the Egyptian economy and gross domestic products, plus considered as one of its fastest-growing sectors. Various deficiencies such as low productivity, delays, cost overrun, poor quality, etc. have plagued the construction sector, leading to undesirable project performance across Egypt and several other countries. One of the best methods to measure and improve performance evaluation and consequently a step toward industry improvement is key performance indicators (KPIs). The paper aims to discuss this issue.

A questionnaire survey was conducted to identify the importance index for 35 KPIs. The KPIs were identified and selected based on an extensive literature review and one on one interview with expert construction professionals. Moreover, exploratory factor analysis method has been used to analyze and determine the inter-relationships between the set of indicators.

Seven indicators that have the highest importance indicator were selected to create project overall performance indicator assessment models to consistently measure the performance of different construction projects. Seven equations are introduced reflecting the output of the research while considering both organization size and project type.

The proposed evaluation assessment models can be used to: evaluate the relative success of projects; indicate the areas of strengths and weaknesses in performance and establish company benchmarking. Three projects were selected to validate the performance evaluation models.

This paper provides mathematical assessment models for evaluating overall construction project performance in Egypt, taking into consideration organization size and project type. Previously published research works on the subject matter are quite limited, and frequently deal with only one or two selected aspects.