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To establish the how far the leading psychiatric journals from the USA and UK show any favouritism to researchers from the journals' host countries. Retrospective review of original data‐based research reports published in 2006 from the five highest impact general psychiatric journals.British authors were 10 times more likely to appear as authors in two general psychiatry journals that are UK based than the three USA based journals (odds ratio=10.37 CI=8.95 to 12.02). American authors were 13 times more likely to publish in three leading three American psychiatry journals compared to British journals (odds ratio=14.27 CI=12.39 to 16.45). It is difficult to explain why researchers appear so much more likely to appear as authors in the host countries' journals other than by invoking some form of bias or favouritism in journals' editorial procedures. This creates a particular disadvantage for research outside the USA and UK.Research is funded and disseminated based on publications in high impact medical journals. If medical journals are xenophobic, that is they preferentially publish articles from their host countries, this severely disadvantages research in less developed countries, of which, many host no medical journals. For example simple, inexpensive research, such as the provision of non‐proprietary antidepressants and antipsychotics or measures to prevent the epidemic of alcohol and tobacco related problems in developed countries may be hugely beneficial to millions of people, but this is unlikely to be researched or disseminated if medical journals are xenophobic.

Presents a new design methodology and an integrated approach for the design of manufacturing systems. The methodology discusses the steps leading to design of manufacturing systems; the integrated approach suggests ways of integrating the different stages of manufacturing system design using genetic algorithms. The methodology and approach has been used for an industrial case study and the result has shown that the approach is effective.

The digital learning and learning & development (L&D) at workplaces in corporates is having a significant challenge, where only about 1% of the week is spent on L&D by the employees. There are an array of recent L&D reports–by Deloitte, 2019; Skillsoft's, 2019; LinkedIn Workplace Learning Report-2019; UK L&D Report-2019; FICCI-NASSCOM and EY “Future of Jobs” Report-2017–which have clearly been indicating that the digital learning is fast-emerging as one of the realistic option. The employees invest their time and energy for skilling/up-skilling/re-skilling for remaining relevant to the emerging business context under volatility, uncertainty, complexity and ambiguity (VUCA) world and also coronavirus disease 2019 (COVID-19) is being researched.

The L&D interventions have primary objective of enhancing skills, competencies and career growth among employees, and the learning engagement styles/ systems are undergoing dramatic paradigm shifts. There is dire need to understand the impact of sweeping changes with Industry 4.0 and HR 4.0; however, there are only a few industry-centric studies that are available to assess the impact of technology on L&D with digital learning. Hence, there is a need to study the factors influencing various segments of workforce in large corporates, where the learning engagement with digital learning is fast-emerging among corporates.

Given the digital learning / L&D context in corporates, this research paper has attempted to review and analyse the opportunities, challenges and emerging trends with respect to leveraging technology and innovation to enhance L&D to deliver the business goals, under the 70:20:10 framework, with case analysis of ten different corporates (across different industry sectors) viz., Genpact, Nexval, Airbus, Siemens, AstraZeneca Pharma, HPCL, HGS (BPM), HP, Flipkart and IBM. The A-to-Z of Talent Management and Leadership Development (adopted version from India Leadership Academy, Publicis Sapient, 2019) best practices are analysed, summarized and presented to indicate emerging trends in Industry 4.0 era.

This study has been carried out for just ten major corporates/ multinational companies (MNCs) operating in various sectors. The sample size used is relatively less; therefore, the study can be carried out with a larger sample size and deeper data analysis and insights across countries/continents. At present, this can be considered as a base-research for undertaking deep-dive analysis. The sectoral analysis and cross-industry perspectives require consideration in next studies. To address the sector-specific issues, the research can be undertaken for either a particular sector such as manufacturing, automotive, IT/ITeS, telecom, aviation, agri-tech and pharmaceutical, knowledge-based industries, etc. or comparative analysis across few related sectors required.

This research has provided/shall provide a basis to understand the various factors that influence the L&D and digital learning ecosystem in large corporates. It is expected to provide a practical and also strategic perspective towards effective usage of digital learning systems (both in-house and open systems) for enhancing the effectiveness of L&D in the context of VUCA World and HR 4.0 around us. The proposed hypothesis of “The Digital Learning is the “Future of HR”, especially for the L&D in large Corporate Academies (in the context of Industry 4.0)” stands justified.

The clear shift from training culture to “Learning Culture” is possible and feasible with strategically planned digital learning/ L&D interventions, which benefits the corporates, employees, customers and the society at large.

To the best of our knowledge, probably this is one of the first paper in the analysing the industry best L&D/Digital learning practices from an practitioners and academic perspective, as we live in the era of bit-sized and byte sized micro-learning. This study contributes to the academics by providing insights on possible digital learning policies that can be practiced by large corporates, where the “ownership of learning and career growth” is transferred onto the employees. The result of this study complements the evolving digital learning trends, in line with science of self-driven and lifelong learning principle.

The purpose of this paper is to investigate the relationship between the chief data officer’s (CDO) presence and firm performance, and the moderating effect of firm size.

The performance data for 64 treatment firms with CDOs and 64 control firms without CDOs is collected from Compustat database. The Wilcoxon signed-rank test is used to analyze the performance differences between treatment firms and control firms. Hierarchical regression method is used to test the moderating effect of firm size.

The results indicate that the profit ratios of treatment firms are significantly improved after the appointment of CDOs, and the profit ratios of treatment firms are significantly higher than that of the control firms. For the cost ratios, the findings provide some empirical evidence revealing two of the cost ratios are lower and only one ratio is higher for the treatment firms after CDOs’ appointment. Firm size moderates the relationship between the CDO’s presence and firm performance indicator, ROS, in the same direction. Firm size has no moderating effect on relationships between CDO’s presence and other performance indicators.

The findings provide practical insights that will help managers to realize the importance of CDOs and their work. CDOs would bring some cost to the firms, but they would bring more profit to firms. In addition, if for large firms, the CDO’s presence would bring more ROS.

The study explores the relationship between the CDO’s presence and firm performance. It is the first attempt to explore the CDO’s presence and the cost performance in the specific time period, and the study is also the first attempt to analyze the moderating effect of the firm size on the relationship between the CDO’s presence and firm performance.

This study aims to identify the strategic factors and their effects on the post-cross-border acquisitions (CBA) technological innovation performance of the acquiring firms. It develops a hierarchical model to examine the interrelationship between identified strategic factors such as strategic flexibility, strategic ambidexterity, environmental dynamism, etc.

This study uses modified total interpretive structural modeling qualitative methodology (m-TISM) to develop a hierarchical model and conducts a Matrice d’impacts croisés multiplication appliquée á un classment (MICMAC) analysis to show the interrelationship between strategic factors affects the acquirer’s post-CBA technological innovation performance. It determines the autonomous, dependent, linkage and independent strategic factors. It further uses comparative case analysis to empirically examine the strategic factors in real-time CBA situations.

This study shows the m-TISM-based hierarchical model highlighting the interrelation, level of autonomy, dependence and linkage among strategic factors affecting the acquirer’s post-CBA technological innovation performance. It suggests that strategic factors such as environmental dynamism, R&D competence, innovation capability and technological capability are largely autonomous and have significant driving power, whereas strategic ambidexterity and strategic flexibility are the connecting factors. post-M&A integration is the governing factor for technological innovation performance in CBA.

The strategists and practitioners could evaluate the key strategic factors having significant driving power for strategy formulation and implementing efficient policies. By implementing the m-TISM model acquiring a firm’s post-CBA performance can be enhanced. Future researchers might utilize quantitative methods like regression and structural equation modeling in the CBA context.

This study uses a novel m-TISM and MICMAC approach to identify the driving and dependent factors affecting post-CBA technological innovation performance. It further provides a detailed theoretical and conceptual understanding relating to the philosophy and establishes an interrelation amongst these under-researched strategic factors in CBA.

The purpose of this paper is to investigate the literature and statistical data on the Indian takeover code cum open offers market and break up the historical changes in takeover code into various phases for better understanding and decision making by mergers and acquisitions advisory, legal advisory, merchant bankers, investment bankers, business houses and academia.

The present study describes literature summary on takeover code and evaluates the growth phase of open offers through trend analysis with respect to amendments in Indian takeover code.

Since 14 years of takeover code presence in India, it evidences that there is an empirical support on growth phase in the open offers market.

The study is developed on the basis of Indian takeover regulations and Securities and Exchange Board of India takeover code to wake up the public shareholding and regulatory bodies, by better conveyance of historical review at one place.

This study is the first of its kind, dividing the complete history of Indian takeover code into various phases for review and identifying the gaps for future research. Further, the paper investigates and finds various untouched facts and variables in both literature and statistical data on open offers.

This study aims to compare the short-run performance of construction and non-construction initial public offerings (IPOs) that are offered in India during 2006–2015. The study also attempts to investigate the impact of ownership structure (i.e. concentrated ownership in the hand of promoters and institutional ownership) and market sentiment on the performance of construction sector IPOs in short run.

A total of 281 IPOs were listed at National Stock Exchange, India, during the study period, and 44 of those were from construction sector. The short-run performance of these construction and non-construction IPOs was compared using two indicators, i.e. monthly stock return (SR) and excess return over market benchmark (MAR). To examine the effect of concentrated ownership in the hand of promoters, institutional ownership and market sentiment on IPO performance, systematic dynamic panel regression model was developed.

The IPOs of construction firms perform significantly better than the non-construction firms. The performance of construction IPOs is significantly driven by the lag effect. This suggests a significant informational inefficiency, which results in a delayed reaction by investors. The market sentiment has a positive influence on the performance of construction sector IPOs, whereas the institutional holding has a negative influence.

To the best of the author’s knowledge, this study is the first attempt to examine the performance of construction sector IPOs in short run. The study uses systematic dynamic panel data regression, which provides better and reliable estimates.

In the Indian manufacturing SMEs context, supply chains have a complex structure having multiple echelons, multiple partners and multiple locations. Due to these complexities, most of the Indian manufacturing SMEs face several types of supply chain risks. This paper aims to identify the dominant risk variables and to develop the interrelationship among these risk variables.

Based on the literature review and experts’ opinion, nine dominant risk variables faced by an Indian manufacturing SMEs have been identified. An interpretive structural modelling (ISM) approach has been adopted to establish the interrelationship among the risk variables. These risk variables have been classified by using MICMAC analysis. Based on ISM-MICMAC approach, a case study on three Indian manufacturing SMEs has been carried out.

This study would help the supply chain managers to understand and prioritize the significant risk variables. Nine significant risks variables of Indian manufacturing small and medium enterprises (SMEs) have been studied. External risk, information technology risk and financial risk have identified as most influencing risk variables, while delay risk and market risk have emerged as the most dependent risk variables. These results will provide a guideline to supply chain managers for implementation of supply chain risk management (SCRM).

In this study, an ISM-based model is developed based on the opinion of experts from a group of Indian manufacturing SMEs; as such, this model may be biased and limited to a selected company. This framework can be extended further by adding more risk variables and sub-risk variables from the other sectors/organizations.

Many SCRM models are available in past literature, but no model has been proposed for the Indian Manufacturing SMEs. This research finding can be useful for managers to understand the characteristics and interrelationships among the risk variables for building a robust supply chain. These results will also help the supply chain managers in making proactive plans for SCRM, especially in the Indian SMEs context.

As announced in the May issue of Hybrid Circuits, ISHM‐Benelux is organising a one‐day conference on applications of hybrid circuit technology.