Talent management is of strategic importance for organizations across the globe. Organizations face formidable challenges in managing talent. Although talent management is gaining attention in emerging economies such as India, there is scanty research in integrated talent management practices in the context of developing markets. This study reviews the existing but scattered measurement scales of talent management processes. Using a systematic scale development approach, the authors employ exploratory as well as confirmatory factor analyses with a sample of 506 employees from 17 organizations across three industries to develop an Integrated Talent Management Scale (ITMS). Numerous statistical tests were performed to establish the reliability and validity of the scale. The analysis confirmed the theoretically identified dimensions of talent management, namely, identifying critical positions (ICP), competence training (CT), development (D), and reward management (RM). The study makes an important contribution by constructing and validating an ITMS that would enable researchers and practitioners to measure talent management and its outcomes in a comprehensive manner.

Purpose In the context of emerging economies, the purpose of this paper is to seek the critical success factors (CSFs) of supply chain and identify their relationships to enhance the supply chain performance (SCP) in a sample of Indian manufacturing firms. Design/methodology/approach On the basis of a comprehensive literature review, the authors conducted this study and proposed a new model of antecedent and outcomes for SCP in emerging markets. The empirical data for this study were drawn from a survey of 227 Indian firms, resulting in a response rate of 52 percent. The method of confirmatory factor analysis was applied to refine the CSFs and SCP scale for empirical analysis. The data were analyzed by employing the structural equation modeling technique. Findings The results reveal that all the identified CSFs, namely, agility, flexibility, flexible innovation, information and communication technology, collaboration among conglomerate divisions, process structure, and training and leadership programs, are positively associated with SCP. The empirical study of 227 Indian firms lent good support to the hypotheses and validates it by the data analysis. Consequently, these findings highlight the prominence of these factors of supply chain for gaining a sustainable competitive advantage in emerging market scenario. Research limitations/implications The study emphasizes on CSFs in emerging markets that will help to boost the organization’s SCP through agility and flexibility in supply chain. This study is applicable for growing markets in which there is ample amount of resources. Originality/value As economic growth stagnates in developed economies, emerging markets grow at near double-digit rates. Somehow, this study is pioneer in terms of enhance SCP in emerging market scenario. Moreover, the outcome of the study could provide empirical evidence of the effects of CSFs on SCPs.

Integration of blockchain and Internet of Things (IoT) to build a secure, trusted and robust communication technology is currently of great interest for research communities and industries. But challenge is to identify the appropriate position of blockchain in current settings of IoT with minimal consequences. In this article we propose a blockchain-based DualFog-IoT architecture with three configuration filter of incoming requests at access level, namely: Real Time, Non-Real Time, and Delay Tolerant Blockchain applications. The DualFog-IoT segregate the Fog layer into two: Fog Cloud Cluster and Fog Mining Cluster. Fog Cloud Cluster and the main cloud datacenter work in a tandem similar to existing IoT architecture for real-time and non-real-time application requests, while the additional Fog Mining Cluster is dedicated to deal with only Delay Tolerant Blockchain application requests. The proposed DualFog-IoT is compared with existing centralized datacenter based IoT architecture. Along with the inherited features of blockchain, the proposed model decreases system drop rate, and further offload the cloud datacenter with minimal upgradation in existing IoT ecosystem. The reduced computing load from cloud datacenter doesn't only help in saving the capital and operational expenses, but it is also a huge contribution for saving energy resources and minimizing carbon emission in environment. Furthermore, the proposed DualFog-IoT is also being analyzed for optimization of computing resources at cloud level, the results presented shows the feasibility of proposed architecture under various ratios of incoming RT and NRT requests. However, the integration of blockchain has its footprints in terms of latent response for delay tolerant blockchain applications, but real-time and non-real-time requests are gracefully satisfying the service level agreement. INDEX TERMS Blockchain, Internet of Things, fog layer, DualFog-IoT, quality of service (QoS).

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