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The purpose of this paper is to study the role of leadership in implementing Lean Six Sigma (LSS) in a knowledge process outsourcing/business process outsourcing (KPO/BPO) service environment. KPO/BPO organizations present unique operational challenges such as client contractual obligations, young worker age profile, high attrition, dynamic outsourced business processes, technological disruptions to list a few. To implement LSS in such an environment, leadership plays a crucial role. While it is known that leadership is a critical success factor for LSS implementation, their role in a recently evolved KPO/BPO sector is hardly studied leading to high failures. The present study aims to address this gap.

A qualitative case study research method is used. A case study protocol consisting of research outline, data collection plan, interview schedule and list of expert reviewers was prepared. A semi-structured interview schedule of the case organization was used that covered exploring the leadership role in terms of their leadership style, communication, employee engagement and their ability to guide program in entire LSS implementation process. Further depth is obtained by considering dimensions of LSS implementation process such as actors involved, processes adopted, performance outcomes, implementation challenges and competency requirements. Primary and secondary data from two case studies yielded rich insights and helped to answer the research questions around role of leadership in LSS implementation for the KPO/BPO service environment.

This research case study demonstrates key leadership competencies that lead to successful implementation of LSS in two KPO/BPO organizations. To handle implementation challenges, a combination of LSS and transformation style of leadership style was observed. Leadership role focussed on coaching and empowering, rather than telling and controlling. Apart from the 17 leadership competencies seen in published literature, the authors observed 12 specific competencies (7 interpersonal and 5 LSS) in two case organizations that enabled effective LSS implementation. This study also gives an in depth understanding of the leadership role and enabling competencies during LSS implementation.

Because of the inherent limitations of case study research method, researchers and practitioners must be cautious to the extent of generalization of findings and the conclusions.

Positioning leadership to managing the LSS implementation in KPO/BPO service operations helps in innovative adaption of standard improvement methodologies (such as LSS) to address their specific problems and deliver on the overall organizational goals.

Current study explores in depth how leadership role impacts LSS implementation in two KPO/BPO case organizations. Studies focussing on LSS service operations model in a KPO/BPO environment are not extensively published, especially those covering leadership role during LSS implementation.

This paper aims to present a new mathematical model for laminated rhombic conoids with reasonable thickness and depth. The presented model does not require the shear correction factor, as transverse strain variation through the thickness was assumed as a parabolic function. The zero transverse shear stress provision at the bottom and the top of rhombic conoids was enforced in the model. The presented model implemented a C⁰ finite element (FE) model, eliminating C¹ continuity requirement in the mathematical model. The proposed model was validated with analytical, experimental and other methods derived from the literature.

A novel mathematical model for laminated composite skew conoidal shells has been proposed. Parabolic transverse shear strain deformation across thickness is considered. FE coding of the proposed novel mathematical model was done. Slope continuity requirement associated with present FE coding has been suitably avoided. No shear correction factor is required in the present formulation.

This is the first attempt to study the bending response of laminated rhombic conoids with reasonable thickness and depth. After comparisons, the parametric study was performed by varying the skew angles, boundary conditions, thickness ratios and the minimum rise to maximum rise (hl/hh) ratio.

The novelty of the presented model is reflected by the simultaneous addition of twist curvature in the strain field as well as the curvature in the displacement field allowing the accurate analysis of reasonably thick and deep laminated composite rhombic conoids. The behavior of conoids differs from that of usual shells such as cylindrical and spherical due to the conoid’s inherent twist curvature with its complex geometry and different location of maximum deflection.

The purpose of this paper is to apply rapid prototyping (RP) philosophy as a technology transfer in industries to take its time and cost‐effective advantages for development of rapid tooling (RT).

Experimentations are performed for development of RT for sand casting, investment casting and plastic moulding applications.

This paper reports the procedures developed for manufacture of production tooling using RP. A cost/benefit model is developed to justify implementation of RP as a technology transfer in industries.

The examples are limited to parts build by fused deposition modelling RP process. However, the concepts experimented may be applied for other RP processes.

RP has proved to be a cost‐effective and time‐efficient approach for development of RT, thereby ensuring possibility for technology transfer in casting as well as plastic industries.

This is the pioneer attempt towards quantifying RP benefits, in view of technology transfer. This paper presents original case studies and findings on the basis of experimentations performed in foundries.

The use of a gas metal arc welding-based weld-deposition, referred to as wire-direct energy deposition or wire-arc additive manufacturing, is one of the notable additive manufacturing methods for producing metallic components at high deposition rates. In this method, the near-net shape is manufactured through layer-by-layer weld-deposition on a substrate. However, as a result of this sequential weld-deposition, different layers are subjected to different types of thermal cycles and partial re-melting. The resulting microstructural evolution of the material may not be uniform. Hence, the purpose of this study is to assess microstructure variation along with the lamination direction (or build direction).

The study was carried out for two different boundary conditions, namely, isolated condition and cooled condition. The microstructural evolution across the layers is hypothesized based on experimental assessment; this included microhardness, scanning electron microscopy imaging and electron backscatter diffraction analysis. These conditions subsequently collaborated with the help of thermal modeling of the process.

During a new layer deposition, the previous layer also is subject to re-melt. While the newly added layer undergoes rapid cooling through a combination of convection, conduction and radiation losses, the penultimate layer, sees a slower cooling curve due to its smaller exposure area. This behavior of rapid-solidification and subsequent re-melting and re-solidification is a progressing phenomenon across the layers and the bulk of the layers have uniform grains due to this remelt-re-solidification phenomenon.

This paper studies the microstructure variation along with the build direction for thin-walled components fabricated through weld-deposition. This study would be helpful in addressing the issue of anisotropy resulting from the distinctive thermal history of each layer in the overall theme of metal additive manufacturing.

The unique aspect of this paper is the postulation of a generic hypothesis, based on experimental findings and supported by thermal modeling of the process, for remelt-re-solidification phenomenon followed by temperature raising/lowering repetitively in every layer deposition across the layers. This is implemented for different types of base plate conditions, revealing the role of boundary conditions on the microstructure evolution.

In globalized market, organizations of all sizes are having huge opportunities for growth. However, due to various resource constraints, it has become challenging for small and medium enterprises (SMEs) of growing economies to survive in this global competition. Effective supply chain management (SCM) can be a major driving factor for success of Indian SMEs in dynamic world economy. SMEs face many operational challenges while implementing effective SCM. The purpose of this paper is to study different strategic issues for successful implementation of SCM in Indian SMEs.

A survey has been conducted in Indian SMEs of different sectors. Major constructs of survey instrument are motivations, hindrances, investment priorities, supply chain practices and performance. In total, 1,500 Indian SMEs have been approached for collecting response through survey instrument. 257 complete responses were finalized. Statistical analysis of data acquired from survey is performed by using SPSS software.

It is observed that managing customers, organization resources, and inventory are main SCM practices. Major investment areas are systems for developing quick response and quality management. Currently, human resource and knowledge management have been found to be less priority areas for SMEs. The major focus of Indian SMEs is on cost and lead time reduction by having effective SCM.

Novelty of this study is that strategic issues for effective SCM in context to Indian SMEs have been analyzed. The findings of the study will help Indian SMEs in doing strategic planning for being competitive in the global market.

This paper presents a cross-sectional study that assessed the impact of the COVID-19 pandemic on rural migrants in Bihar. The primary objective of this study was to evaluate the overall impact of the pandemic on migrants and examine their livelihoods, with a focus on identifying measures that can mitigate the economic consequences.

This study used a telephonic survey to collect primary data from 419 respondents. Descriptive statistics were used to analyze the data, and three indices were constructed: fear and worries, trust and prevention.

The findings provide insights into the psychological well-being of migrant workers and highlight the challenges they face in sustaining their livelihoods amidst the pandemic. This study concludes by suggesting potential measures to alleviate the economic impact and enhance the resilience of this vulnerable population.

This study may be limited by the representativeness of the sample as well as the potential for social desirability bias. The study may also be limited by the reliability and validity of the measures used to capture the fear and worries, trust and prevention indices.

Numerous studies have examined the impact of the COVID-19 pandemic on rural migrants. However, there are limited studies that estimate the impact of the proposed study based on the challenges faced by rural migrants in Bihar during the pandemic.