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The purpose of this paper is to examine the relationship between proactive personality (PP), goal orientation (GO), meta-skills and the underlying dimensions of protean (self-directed and value-driven) and boundaryless (boundaryless mobility and mobility preference) career attitudes among Indian IT professionals.

Data were collected from 600 IT professionals working in six IT companies in the Delhi-NCR (National Capital Region) in India. Structural equation modeling was used to validate the measures of the selected constructs and for testing the hypothesis.

The results of the study revealed that PP significantly affects individuals’ protean and boundaryless career attitudes. Moreover, GO significantly affects protean career attitudes, and meta-skill significantly affects boundaryless mobility, respectively.

The study serves as a guide for the HR managers to devise the company’s strategies keeping in mind the employees’ requirements in parallel with the policies for IT industries in India.

The study enriches the protean and boundaryless career literature by identifying and empirically establishing the relationship between various personality traits and career patterns opted in the context of the Indian IT industry.

The present study aims to empirically investigate whether supply chain agility and lean management practices are antecedents of supply chain social sustainability.

Data were collected from 311 supply chain practitioners from the Indian manufacturing sector. Confirmatory factor analysis was employed to test the validity and reliability of the measures used, and a structural model was analyzed to test the hypotheses of the current study.

The results indicate that agility and lean practices are significant antecedents of social sustainability orientation as well as social sustainability performance. The results also suggest that agility has a significant indirect effect on operational performance via social sustainability orientation, basic social sustainability practices as well as agility is indirectly affecting social sustainability performance via social sustainability orientation and basic social sustainability practices.

The results of the present study have implications for managers that want to make their supply chain more socially sustainable.

The study is unique in the sense that it empirically links agility and lean practices with social sustainability orientation, social substantiality performance and operational performance in supply chains.

The purpose of this paper is to illustrate how blockchain technology can improve supply chain adaptability, alignment and agility which collectively enhance competitive advantage which in turn influences firm performance.

The conceptual framework of the present study is developed by conducting an extensive literature review on blockchain technology, supply chain adaptability, alignment, agility and competitive advantage. The sample data were collected from 397 supply chain practitioners in India to validate the conceptual model. Confirmatory factor analysis was conducted to ascertain the validity of the measures used and a structural model was analyzed for testing the proposed conceptual framework.

The results of the present study show that blockchain technology can improve supply chain adaptability, alignment, agility which lead to competitive advantage, which leads to better firm performance. Besides, trust generated through blockchain use also increases firm performance.

Currently, the respondents do not have practical experience of using blockchain technology. They have responded based on their knowledge about supply chain and blockchain which they acquired from published sources. Different supply chains require different strategic choices and different information needs. But the present study assumes that all supply chain needs are identical. The present study assumes that government regulations regarding blockchain technology are favorable; however, currently, there is no legal framework to address blockchain technology. The findings of the current study indicate that companies not only should create more awareness regarding blockchain but also should actively work with IT companies that are engaged in developing blockchain-based supply chain solution. Managers, as well as IT companies and academicians, should join hands to study and develop a framework for regulating blockchain technology and suggest these to the policy actors.

The present study shows that supply chain practitioners are confident that blockchain technology will help improve supply chain parameters. These findings can help IT companies and their marketers for developing and promoting blockchain-based IT applications. In addition, the important implication for supply chain practitioners is that blockchain helps in creating a competitive advantage and increases firm performance.

The effect of IT on important supply chain variables has been studied in the past; however, there is not a single study which sheds light on how disruptive technologies such as blockchain will affect supply chain adaptability, alignment, agility and firm performance.

Since liberalization in the 1990s, India has witnessed a growth in the number of educated middle-class women in professions. However, there are few women in leadership positions and decision-making bodies. While the earlier notion of the ideal woman as homemaker has been replaced by one which idealizes women of substance, a woman’s role in the family continues to be pivotal and is even viewed as central in defining Indian culture. The purpose of this paper is to analyze how and to what extent gender inequalities are reproduced in the organizations employing educated professionals.

Based on the perspective that gender is socially constructed, this paper analyzes gender inequality in Indian organizations through semi-structured interviews of men and women scientists in two private pharmaceutical laboratories.

The findings show reproduction of a gendered normative order through two types of norms and practices: one, norms and practices that favor men and second, socio-cultural norms that devalue women in public spaces which help to maintain masculinity in the workplace. Although these practices might be found elsewhere in the world, the manner in which they are enacted reflects national cultural norms.

The paper highlights how various norms and practices enacted in the specific Indian socio-cultural context construct and maintain masculinity at workplace depriving opportunities to professional women which affect their rise to leadership positions.

The purpose of this paper is to report the impact of thermophoresis and Brownian moment on MHD two-dimensional forced convection flow of nanofluid past a permeable stretching sheet in the presence of thermal diffusion.

The flow governing PDEs are reduced to ODEs by utilizing pertinent transmutations and then resolved by employing a fourth-order Runge-Kutta-based shooting technique. The energy and diffusion equations are incorporated with Brownian motion, thermophoresis and Soret parameters. The velocity, thermal and concentration attributes along with skin friction factor, local Nusselt and Sherwood number are discussed under the influence of sundry pertinent parameters and presented with the assistance of graphical and tabular values.

The results infer that Sherwood number is accelerated by Soret parameter but it controls the thermal transport rate. And also, Brownian and thermophoresis play a vital role in enhancing heat conduction process.

Considering the industrial applications of flow of magnetic nanofluid over a stretching surface, this paper presents the solution of the flow problem considering thermophoresis, Brownian motion, magnetic field and thermal diffusion effects. In addition, the aim and objectives of this paper fills a gap in the industry.

This paper aims to focus on the mathematical modeling of magnetohydrodynamic natural convective boundary layer flow of nanofluids past a stationary and moving inclined porous plate considering temperature and concentration gradients with suction effects.

The transformed non-dimensional and coupled governing partial differential equations are solved numerically using the finite element method.

The obtained numerical results for physical governing parameters on the velocity, temperature and concentration distributions are exemplified graphically and presented quantitatively. The boundary layer thickness increased with the increasing values of Soret, Dufour and Grashof numbers, while the thickness of boundary layer decreased with increasing values of suction for both stationary and moving plate cases. The primary and secondary velocity profiles are decreasing with an angle of inclination for moving plate and inclination has no significant effect for the stationary plate. An increase of the Soret number and Dufour number tend to increase the heat and mass transfer, while an increase of suction reduces the heat and mass transfer.

The problem is an important contribution to the field of nanofluid science and technology and is relevant to high temperature rotating chemical engineering systems exploiting magnetized nanofluids. This study is relatively original in nanofluids.

The purpose of this paper is to investigate the steady 2D buoyancy effects on MHD flow over a permeable stretching sheet through porous medium in the presence of suction/injection.

Similarity transformations are employed to transform the governing partial differential equations into ordinary differential equations. The transformed equations are then solved numerically by a shooting technique.

The working fluid is examined for several sundry parameters graphically and in tabular form. It is observed that with an increase in magnetic field and permeability of porous parameter, velocity profile decreases while temperature and concentration enhances. Stretching sheet parameter reduces velocity, temperature and concentration, whereas it increases skin friction factor, Nusselt number and Sherwood number.

Till now no numerical studies are reported on the effects of heat source and thermal radiation on MHD flow over a permeable stretching sheet embedded in porous medium in the presence of chemical reaction.