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Intrapreneurship is gaining traction in organizations to buckle up for the dynamic business environment. Scholars have argued that intrapreneurship increases positivity at work and helps employees attach themselves better with their job. However, empirical evidence suggests that these relationships do not exist. The objective of this paper is to examine the mediating role of psychological capital (PsyCap) in the relationship between intrapreneurship and work engagement.

Data were collected through an online survey. Responses from 309 employees working in different industries in India were analysed. Structural equation modelling (SEM) was used to analyse the hypothesized relationships.

The results show that there exist positive relationships among intrapreneurship, psychological capital (PsyCap) and work engagement. Further, it was observed that the PsyCap partially mediates the relationship between intrapreneurship and work engagement.

Managers may not only encourage intrapreneurial behaviour in their organizations but also ensure that the employees are psychologically capable (high on PsyCap). It would enable the employees to engage themselves wholeheartedly into their work.

To the best of the authors' knowledge, this study is one of its kinds to relate intrapreneurship with PsyCap and work engagement.

The article analyses the current readiness of India to transform its supply chain ecosystem to smarter systems with Fourth Industrial Revolution.

The analysis is carried out in two stages. First, the readiness of India is assessed globally, and then the rate of transformation over the years and supporting policies are analyzed to understand the transformation potential. This analysis is done across nine identified macro factors namely government support, regulations, business environment, human resource, infrastructure, innovation capability, technological advancements, cybersecurity and digital awareness. The study combines empirical data from 2010 onwards with the strategic literature published by government bodies and institutions for analysis.

Results show that India's readiness is just above the global average with a score of 0.44 on a scale of 0–1 (most ready). Government and start-up culture are found to be leading transformation factors, while digital infrastructure, regulations and cybersecurity are most lacking areas.

This study is first of its kind to the best of our knowledge. The academic literature has not reported studies assessing Industry 4.0 readiness of supply chain ecosystem using macro factors for nations.

Procurement is a crucial part of supply chain management, consistently becoming a strategic vantage point in global competition. The industry 4.0 paradigm is transforming supply chains to smarter systems, giving rise to the concept of procurement 4.0. A systematic framework to transform in current scenario is crucial.

This study brings together these current researches to propose a redesigned procurement process by combining several technologies. A BPR approach is taken to present the new process and its merits are discussed.

A re-designed procurement framework is proposed. Radical improvements of cost, cycle time, human effort, degree of automation, traceability, information availability and uncertainty are achievable with the proposed framework.

The proposed re-engineered process addresses the visualization barrier for managers. The proposed framework is grounded on BPR which provides a generic ground for developing redesign exercise along with the visualization of new process.

There is literature discussing implementation, impact and advantages of individual and combination of technologies on procurement process but lacks visualization of the transformed process combining these technologies.

While prior studies have highlighted the brighter side of technology adoption in improving human resource (HR) functions, the dark side pertaining to the adoption of technology in people management within organizations has gone relatively unnoticed. The current study tries to demystify the dark side of electronic human resource management (e-HRM) by examining banking institutions in India which are believed to have undergone several transformations in recent years.

This study adopts an inductive qualitative approach to examine the research problem. In total, 53 semi-structured interviews were conducted with the employees of eight public sector banks in India. The interviews were transcribed. The analysis of the data was done using the thematic analysis technique.

The findings of the study suggest that there is a stratification of the workplace in banking institutions into digital natives and digital migrants. This social stratification is based on technology adoption and usage which has further created problems in the form of knowledge hiding and perceived workplace conflicts.

The findings of the current study have important theoretical and managerial implications. It not only extends the current scholarship on the transtheoretical model of change but it also has strong managerial implications as it highlights the need for the adoption of customized e-HRM training curriculums for the workforce based on their age, education, work experience and expertise.

Current research on the dark side of e-HRM is inadequate. Furthermore, the evolution of banking institutions from being a typical bureaucratic organization into a hybrid one has not been examined in the context of e-HRM.

Transformation to Industry 4.0 has become crucial for nations, and a coherent transformation strategy requires a comprehensive picture of current status and future vision. This study presents a comprehensive model for readiness assessment of nations based on rigorous analysis of several global indices and academic Industry 4.0 literature.

A holistic approach is taken considering overall socioeconomic development along with industrial innovation and seven readiness dimensions: enabling environment, human resource, infrastructure, ecological sustainability, innovation capability, cybersecurity and consumers. The indicators used for evaluation are standard metrics for which data are collected from reputed sources such as World Bank, United Nations Educational Scientific and Cultural Organization (UNESCO), World Economic Forum (WEF) and International Organization for Standardization (ISO), and hence internationally acceptable.

The formulated model is used to evaluate Industry 4.0 readiness of 126 economies that account for 98.25% of world’s gross national income. Observations show poor scores of most economies on innovation capability and cybersecurity dimension as compared to other 5 dimensions. In 75% countries, I4.0 readiness score is below 0.5 on a scale of 0–1(completely ready), highest being 0.65 for Denmark.

A systematic literature review revealed lack of assessment models discussing a nation's current status or readiness for Industry 4.0. This academic study is first of its kind.

There is a growing interest in the use of HR-based Industry 4.0 technologies for equality, diversity, and inclusion (EDI) issues yet the emerging trends of Industry 4.0 in EDI implementations and interventions are not fully covered. This chapter investigates the emerging themes regarding EDI and Industry 4.0 interaction through Google-based big data that show the actual interest in Industry 4.0 and EDI. Drawing on a web analytics method that tracks the real click behaviours of web users through querying combined sets of keywords, the study explores the trends and interactions between Industry 4.0 technologies and EDI-related HR practices. Our search engine results page (SERP) analyses find a high volume of queries and a significant interest between EDI elements and artificial intelligence (AI) only. In contrast to the suggestions of the extant literature, no significant user interest in other Industry 4.0 applications for EDI implementations was observed. The authors suggest that other Industry 4.0 technologies such as machine learning (ML) and natural language processing (NLP) for EDI implementations are in their early stages.

The purpose of this paper is to introduce architecture of an Intelligent Decision Support System to fulfill the emerging responsibilities of law enforcement agencies.

The proposed Intelligent Police System (IPS) is designed to meet the emerging requirements and provide information at all levels of decision making by introducing a multi-level structure of user interface and crime analysis model. The proposed framework of IPS is based on data mining and performance measurement techniques to extract useful information like crime hot spots, predict crime trends and rank police administration units on the basis of crime prevention measures.

IPS has been implemented on actual Indian crime data provided by National Crime Records Bureau (NCRB), which illustrates effectiveness and usefulness of the proposed system. IPS can play a vital role in improving outcome in the crime investigation, criminal detection and other major areas of functioning of police organization by analyzing the crime data and sharing of the information.

The research in intelligent police information system can be enhanced with some important additional features which include web-base management system, geographical information system, mobile adhoc network technology, etc.

IPS can easily be applied to any police system in the world and can equally be useful for any law enforcement agencies for carrying out homeland security effectively.

The research reported in this manuscript is outcome of the research project funded by NCRB. This paper is the first attempt to build framework of IPS for Indian police who deal with large volume and high rate of crimes that are unmatched to any police force of the world.