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While the evolving high bandwidth information highways provide the infrastructure for attaining “physical connectivity” across computing resources and information systems, the “on/off” ramps to such highways are still at a primitive stage. Huge manual effort is currently expended to develop knowledge‐based paradigms that can effectively transcend national borders as well as other types of borders. This paper examines the prevailing situation from four perspectives: knowledge acquisition; knowledge discovery; knowledge management; and knowledge dissemination. Unlike current approaches that tend to focus on one aspect only, an integrated approach that attaches appropriate weightage to each of the four facets is emphasized in this paper.

Battery integration with renewable energy and conventional power grid is common practice in smart grid systems and provides higher operational flexibility. Abundant issues and challenges to the Indian smart grid while integrating renewable energy and storage technology will give timely emphasis to grasp uninterrupted power supply in forthcoming trend. Hence, this paper aims to acknowledge different barriers of battery integration and evaluate them to develop approaches for restricting their influence.

A multi-model approach is used to illustrate how these challenges are interrelated by systematically handling expert views and helps to chronologically assemble various issues from the greatest severe to the slightest severe ones. Further, these barriers are grouped using the cross-impact matrix multiplication applied to the classification analysis (MICMAC) study grounded on their driving and dependence power. Also, hypothesis testing was done to validate the obtained model.

It provides a complete thoughtful on directional interrelationships between the barriers and delivers the best possible solution for the active operation of the smart grid and its performance.

There is a significant requirement for high-tech inventions outside the transmission grid to function for the integration of renewables and storage systems.

The model will support policymakers in building knowledgeable decisions while chronologically rejecting the challenges of battery integration in smart grid systems to improve power grid performance.

Based on author’s best knowledge, there is hardly any research that explicitly explains the framework for the barriers of battery integration in grid for developing countries like India. It is one of the first attempts to understand the fundamental barriers for battery integration. This study adds significantly to the literature on the energy sector by capturing the perspective of various stakeholders.

The increased use of distributed work arrangements across organizational and national borders calls for in‐depth investigation of subgroup dynamics in globally distributed teams (GDTs). The purpose of this paper is to focus on the social dynamics that emerge across subgroups of onsite‐offshore teams and affect the process of knowledge sharing.

A qualitative study of eight GDTs working around the clock is conducted. These GDTs are part of organizations involved in offshoring of knowledge intensive work.

The evidence shows that the specific status cue of being onsite drives status differentials across subgroups; these differentials are reduced when the client is directly involved with the activities of the team. The negative effect of high status differentials on knowledge sharing is mitigated by the presence of straddlers, who assist in the transfer of codified knowledge. Conversely, when status differentials are low, straddlers hamper spontaneous direct learning between onsite members and offshore members.

This work has practical implications for organizations that want to use GDTs to achieve a faster (and cheaper) development of products and services. Managers should carefully design the organizational structures of GDTs and consider upfront the trade offs related to client involvement in teamwork and the use of straddlers across sites.

The paper contributes to the literature on subgroup dynamics, applying and extending the theory of status characteristics theory.

Strategic IT decisions have significant impact, but can be rather difficult to formulate in an objective manner. This article takes a fresh look at the e‐business adoption and vendor selection problems, and introduces new concepts to derive a decision‐making framework. The authors present a framework for the adoption of e‐business best practices and IT vendor selection. Development of this framework entailed the utilization of concepts from statistics and forecast verification, and their adoption in the context of the problems presented. A couple of key insights are developed. First, adoption of best practices for e‐business is reduced to three key determinants: the impacts on corporate knowledge management, performance management, and strategic management. Second, the corresponding IT e‐business vendor selection is described, in turn, through three determinants: strengths or capabilities in terms of collaboration and analytics, metrics and reports, and breadth of footprint. The proposed framework can be useful for strategic decision‐making in e‐business enabled enterprises as well as for designing the product strategies of IT vendors, as illustrated through references and examples. The paper takes a fresh look at the e‐business adoption and vendor selection problems, and introduces new concepts to derive a decision‐making framework. Future research needs to further validate the determinants and frameworks via case studies across and within business verticals.

The aim of this analysis is to review the Indian manufacturing organizations practicing Lean Six Sigma (LSS) tools/techniques with an objective of monitoring the performance of an organization and to develop recommendation for strategies to benchmark organizational operational efficiency.

This study offers insights of the LSS performance measurement aspects of the Indian manufacturing organizations based on Data envelopment analysis (DEA) approach. The five inputs and two outputs are considered on the basis of literature review and discussed with the practitioners.

In this analysis, the relative efficiency score of 18 Indian manufacturing organizations has been determined in order to assist evaluation of the impact of monetary investment on the outputs. The present analysis not only investigates the optimum level of input variables but also lays down a significant observation that an organization having higher profit and inventory turnover ratio is not necessarily an efficient organization.

The results assist to determine the best practice units, potential source of inefficiency and deliver beneficial data for the consistent enhancement of the operational efficiency. The DEA results assist managers and decision makers to derive appropriate strategies to enhance their performance with reference to the efficient organization and to regard it as their role model.

This analysis renders a DEA based framework of LSS practicing Indian manufacturing organizations. The framework is unique in terms of its input-outputs variable selection and measurement procedure.

The purpose of this paper is to examine and introduce comprehensive insights into the field of Lean Six Sigma (LSS) by reviewing the existing literature and identifying the research gap. The state of LSS research is assessed by critically examining the field, along with a number of dimensions, including time horizon, year, journal and publisher, university, country, author, geographic analysis, research design, research affairs, research methods, tools/techniques used, focus industries, major research area, benefits gained by LSS, critical success factors and barriers of LSS implementation.

This paper is based on a systematic literature review of 190 articles containing the word LSS in their title, which are published in a well-known database, such as Elsevier ScienceDirect, Taylor and Francis, Emerald Full Text, Springer Link, Wiley InterScience and Inderscience from January 2000 to September 2016.

This analysis reveals 15 significant dimensions to identify the state of LSS research. Authors find a noticeable rise in the attention of LSS research in the available literature. Major findings show that, the empirical research holds greater credibility. Statistics prove that the case study method scores the highest among all the research methods used in the discipline. The largest number of studies have investigated research issues related to implementation and process of LSS. The LSS uses a wide range of tools/techniques/methodologies: the choice of tools is situation-specific. Manufacturing and health-care sectors have been the focus of LSS research, but LSS has also been adopted by other types of industries. The organizations following LSS have improved bottom-line results, improved company profitability and growth and enhanced customer satisfaction. In general the research is more interpretive in nature; there is still a lack of standard in the LSS implementation framework.

This study is limited to reviewing those articles which contain the word LSS appeared in the title.

This study will help understand the current state of research on LSS, various trends in the field, its applicability and future prospects of investigation in the field.

The purpose of this paper is to examine (1) how the recovery speed using promotional investment and (2) distributed production using additive manufacturing (AM) improve the resilience of the supply chain to manage any disruptions in the diffusion of green products.

The environmental performance, service level performance and economic performance are the measures of interest. These measures are studied through the integration of inventory and production planning (I&PP) of the reverse logistics system and consumer behavior using Bass (1969) model of diffusion of innovation under the paradigm of Industry 4.0 architecture. The Taguchi experimental design framework was used for the simulation analysis.

The adoption patterns based on the Bass model in conjunction with recovery speed and production on AM during the disruption period suggest that there exist tradeoff decisions between various combinations of information-sharing and I&PP policies.

The extensive sensitivity analyses provide real-time support for managerial decisions. Besides the potentials of Industry 4.0 capabilities, the present research suggests paying close attention to the recovery speed in conjunction with the inventory management system.

The integration of consumers' behavior (Bass model) to digital technologies is an additional contribution of the present research toward sustainability issues from the social perspective.

Previous research studies have discussed resilience to manage the ripple effect. However, none of them have addressed the changing scope of resilience to manage the ripple effect caused by the disruption in the diffusion of green products in a reverse logistics setup.

The purpose of this paper is to develop the balance score card (BSC) approach based Lean Six Sigma (LSS) performance measurement system and investigate the critical measures currently practiced by Indian manufacturing organizations.

This study offers insights of LSS performance measurement from manufacturing industry. Initially, the BSC-based framework is developed to recognize the adoption of LSS performance measures. Then, the framework is applied to nine Indian manufacturing organizations to assess the LSS performance measure practice.

The BSC-based framework of LSS performance evaluation for manufacturing industry is formulated. Then, adoption of these LSS performance measures is investigated with nine Indian manufacturing organizations. The result indicates significant variability in terms of practicing level of LSS measures. However, the majority of organizations are more sensitive to the customer perspectives.

This study reveals a background as to why the performance measurement is required for the success of LSS and for providing practical guidelines for designing performance metrics. The framework interrelates and captures various LSS perspectives and indicator measures, and furnishes a comprehensive outlook of the organization for strategic analysis. This study provides BSC-based template for performing the benchmarking study. This analysis may serve as a reference point for manufacturing organization to determine their system weaknesses, and assist them to concentrate on their most vital and suitable criteria and objectives. However, the analysis contributes to the knowledge on LSS performance measurement system and catches differences in theory and practice, paving the approach to newer research.

This study renders an industry-oriented LSS performance measurement practical approach and suggests the easily adopted vital performance measures for different manufacturing organizations.

The purpose of this paper is to show how workers successfully address constraints posed by distributed work – specifically, the lack of cognitive common ground or “mutual knowledge” – through emergent practices.

The authors draw on archival and interview data collected over a ten-month period, from two matched product development teams, one working side-by-side in the USA and the other distributed between the USA and India.

The paper illustrates how distributed team members compensate for the difficulties presented by the lack of mutual knowledge by modifying their use of knowledge management systems and communication technologies to coordinate work, and using temporal and task-based differences to facilitate problem solving.

This study answers calls to examine how distributed teams actually work. By emphasizing the creation of new practices over knowledge transfer and employees’ perspectives over managers, the paper adds to current understandings of how aspects of the mutual knowledge problem can be alleviated. Since emergent practices are not dependent on shared values or identities, they can coordinate action without compromising the distinct perspectives of workers or constraining the diversity that inspires innovation. In addition, the attention to problem solving in distributed teams – particularly tacit knowledge recombination – extends a literature primarily focussed on communication and coordination processes.

In this paper, the authors shift the focus from managerial and organizational policies to the emergent practices of workers themselves, by showing how the authors successfully coordinate and innovate in a changing organizational context.

Digital platforms (DP) are transforming service delivery and affecting associated actors. The position of DPs is impacted by the regulations. However, emerging economies often lack the regulatory environment to support DPs. This paper aims to explore the regulatory developments for DPs using the multi-level perspective (MLP).

The paper explores regulatory developments of ride-hailing platforms (RHPs) in India and their impacts. This study uses qualitative interview data from platform representatives, bureaucrats, drivers, experts and policy documents.

Regulatory developments in the ride-hailing space cannot be explained as a linear progression. The static institutional assumptions, especially without considering the multi-actors and multi-levels in policy formulation, do not serve associated actors adequately in different times and spaces. The RHPs regulations must consider the perspective of new RHPs and the support available to them. Non-consideration of short- and long-term perspectives of RHPs may have unequal outcomes for established and new RHPs.

This research has implications for the digital economy regulatory ecosystem, DPs and implications for policymakers. Though the data from legal documents and qualitative interviews is adequate, transactional data from the RHPs and interviews with judiciary actors would have been insightful.

The study provides insights into critical aspects of regulatory evolution, governance and regulatory impact on the DPs’ ecosystem. The right balance of regulations according to the business models of DPs allows DPs to have space for growth and development of the platform ecosystem.

This research shows the interactions in the digital space and how regulations can impact various actors. A balanced policy can guide the paths of DPs to have equal opportunities.

DP regulations have a complex structure. The paper studies regulatory developments of DPs and the impacts of governance and controls on associated players and platform ecosystems.