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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.

The primary purpose of this paper is to examine the relationship between people‐level learning dimensions, structural level‐learning dimensions and performance outcomes. The paper proposes and tests the original classification of dimensions of learning organization as given by Watkins and Marsick.

The Dimensions of the Learning Organization Questionnaire (DLOQ) by Watkins and Marsick was adopted to gauge the relationship between people‐level learning dimensions, structural‐level learning dimensions and performance outcomes. In a modified model, empowerment was tested as a structural level dimension in the Indian context, while in previous studies carried out by Yang and Yang et al., it was treated as a people‐level dimension. This study adopted the smaller form of DLOQ and data were collected from 292 executives working in different types of organizations: manufacturing, consultancy, KPO, BPO, financial services and others, representing mostly domestic private, public sector organizations and multinational companies operating in the Indian National Capital Region.

The study results revealed that the relationship between people‐level learning dimensions and performance outcomes is mediated by structural‐level learning dimensions in the Indian cultural context. Statistical analyses revealed that the DLOQ has reasonable reliability in the Indian context. The findings are explained in relation to relevant context.

The value added is that the relationship between people‐level learning dimensions and performance outcomes is mediated by structural‐level learning dimensions in the Indian cultural context. This study confirms the validity of applying the DLOQ as determinants of a learning organization in the Indian context.

The purpose of this paper is to investigate the effect of the organizational reconfiguration of offshoring on firms’ strategies. A consequence of offshoring is the need to reintegrate the geographically relocated organizational activities into a coherent organizational architecture. In order to do this, firms need a high degree of architectural knowledge, which is typically gained through learning by doing. We therefore argue that firms with more offshoring experience are more likely to include organizational objectives in their offshoring strategies. We develop and find support for this hypothesis using a mixed-method approach based on a qualitative case study and comprehensive data from the Offshoring Research Network. These findings contribute to research on the organizational design and architecture of offshoring and the dynamics of organizational architectures.

The purpose of this study is to assess employees' perceptions of their organizations' orientation towards learning in manufacturing and service firms.

The Dimensions of the Learning Organization Questionnaire (DLOQ) developed by Marsick and Watkins, was administered to 235 executives working in the National Capital Region (NCR) in India. Regression analysis with the help of Eviews 5 was utilized to investigate the difference between the dimensions of DLOQ in both the sectors.

Results suggest a significant impact of structural level dimension on a firm's financial and knowledge performance. Furthermore, no difference was observed between manufacturing and service sectors in context of a learning organization (LO).

Data were collected only from organizations operating in India's National Capital Region.

This research fulfills the literature gap in the domain of LO. It applies the LO approach and the DLOQ tool to examine the learning orientation of both manufacturing and service organizations in the NCR which has not been done so far in the literature. The results indicated greater impact of the structural level dimension as compared to the people level dimension irrespective of the sector in India.

The importance of mental wellbeing and the need for organizations to address it is increasing in the post-pandemic context. Although Artificial Intelligence (AI) is increasingly being adopted in HRM functions, its adoption and utility for enabling mental wellbeing is limited. Building on the Open System Theory (OST) and adopting the technology-in-practice lens, the authors examined the roles of human and technology agencies in enabling mental wellbeing.

The study was conducted in two stages; in Stage 1, the authors adopted a case methodology approach to examine the feasibility of a technology company's offerings to assess mental wellbeing. In Stage 2, the authors followed the grounded theory approach and interviewed 22 key stakeholders and HR leaders of diverse organizations. The authors used Gioia's approach to analyze the data.

The study demonstrates the interdependence and inseparability of human activity, technological capability and structured context. Specifically, the authors observe that AI adoption is pushing the boundaries of how organizations could support employees' mental health and wellbeing. These technological advancements and adoption are likely to facilitate the evolution of agentic practices, routines and structures.

This study carries two important implications. While the advent of cutting-edge technologies appears to affect employees' mental wellbeing, the study findings indicate the assistive role of technology in supporting mental wellbeing and facilitating changes in organizational practices. Second, the ontology of technology-in-practice shows how human–machine agencies gain newer relevance from the interactions that unite them. Specifically, per OST, technology (from an external context) can potentially change how mental wellbeing practices in organizations are managed. The authors extend the existing literature by suggesting that both human agents and internal contexts effectively limit the potential of technology agents to change existing structures significantly.

The authors address the need for more research on the technology-management interface, and the boundaries of technology-enabled wellbeing at work. While AI-HRM scholarship has primarily relied on micro-level psychological theories to examine impact and outcomes, the authors borrow from the macro-level theories, such as the OST and the technology-in-practice to explain how AI is shifting the boundaries of human and machine agencies for enabling mental wellbeing.

The purpose of this study is to examine the critical failure factors (CFFs) linked to various types of process improvement (PI) projects such as Kaizen, Lean, Six Sigma, Lean Six Sigma and Agile. Proposing a mitigation framework accordingly is also an aim of this study.

This research undertakes a systematic literature review of 49 papers that were relevant to the scope of the study and that were published in four prominent databases, including Google Scholar, Scopus, Web of Science and EBSCO.

Further analysis identifies 39 factors that contribute to the failure of PI projects. Among these factors, significant emphasis is placed on issues such as “resistance to cultural change,” “insufficient support from top management,” “inadequate training and education,” “poor communication” and “lack of resources,” as primary causes of PI project failures. To address and overcome the PI project failures, the authors propose a framework for failure mitigation based on change management models. The authors present future research directions that aim to enhance both the theoretical understanding and practical aspects of PI project failures.

Through this study, researchers and project managers can benefit from well-structured guidelines and invaluable insights that will help them identify and address potential failures, leading to successful implementation and sustainable improvements within organizations.

To the best of the author’s knowledge, this paper is the first study of its kind to examine the CFFs of five PI methodologies and introduces a novel approach derived from change management theory as a solution to minimize the risk associated with PI failure.

This qualitative study aims to explore the concept of organisational leadership in the context of Quality Management deployments across a variety of business organisations, particularly focusing on the possible relationships between leadership approaches during the implementation and sustaining phases of Quality Management.

The study is based on one-to-one semi-structured virtual interviews with leaders in the quality field.

Four themes (Customers, Leadership, Quality Culture and Sustainability of Quality) emerged from the post-interview data analysis, illustrating the critical role of Leadership in the successful deployment and sustainment of Quality Management and identifying the leadership traits that are most conducive to successful organisational deployments.

Although some of these leadership traits are described in the wider leadership literature as belonging to one or more different leadership styles, there is no existing style of leadership that comprehends all the characteristics; thus, the need for a new leadership paradigm is this paper's theoretical contribution to the literature.

This article aims to focus on implementing Lean Six Sigma (LSS) in steel manufacturing to enhance productivity and quality in the galvanizing process line. In recent trends, manufacturing organizations have expressed strong interest in the LSS since they attempt to enhance its overall operations without imposing significant financial burdens.

This article used lean tools and Six Sigma's DMAIC (Define, Measure, Analyze, Improve and Control) with Yin's case study approach. This study tried to implement the LSS for the steel galvanizing process in order to reduce the number of defects using various LSS tools, including 5S, Value stream map (VSM), Pareto chart, cause and effect diagram, Design of experiments (DoE).

Results revealed a significant reduction in nonvalue-added time in the process, which led to improved productivity and Process cycle efficiency (PCE) attributed to applying lean-Kaizen techniques. By deploying the LSS, the overall PCE improved from 22% to 62%, and lead time was reduced from 1,347 min to 501 min. DoE results showed that the optimum process parameter levels decreased defects per unit steel sheet.

This research demonstrated how successful LSS implementation eliminates waste, improves process performance and accomplishes operational distinction in steel manufacturing.

Since low-cost/high-effect improvement initiatives have not been adequately presented, further research studies on adopting LSS in manufacturing sectors are needed. The cost-effective method of process improvement can be considered as an innovation.