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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.

Talent management is conducted to maximize an organization's overall performance and efficiency which helps to serve as a competitive advantage. Human resource management is a concept which includes human-related activities, but talent management is a strategy which helps to get new talent, develop their skill sets and provide better employee engagement and experience to retain the top potential employees in an organization. Improvement in recruiting and retention of a workforce results from a well-executed talent acquisition approach. In the 21st century, employee retention has become a primary concern for the organizations specially with work from home and hybrid models.

The workforce for tomorrow is going to be very different from what it has been. Technology is transforming the way people work within organizations. The workplace is rapidly evolving in terms of people and processes and is going through a lot of technological changes. The terminologies such as automation, artificial intelligence, augmented reality and block chain technologies are slowly becoming part of the workplace and everyday activities of the organization.

The challenges are many and especially post-pandemic organizations are going through some major changes such as a mindset shift of employees to take up more remote working opportunities, building virtual teams, increase in the gig economy workers (contractual workers) and a diverse workforce which makes it even more challenging for the organization to manage and retain talent.

The purpose of this study is to scrutinise individual learning strategies in their workplace when they were experiencing digital innovation. Moreover, the respective enablers and challenges of each category of strategies were explored to conceptualise supporting features needed in the digital learning environment.

This study adopts a qualitative inquiry to understand employees’ workplace learning strategies and the respective enablers, and challenges in each category of strategies. Twenty employees across different industries were interviewed, and a two-cycle inductive coding analysis was adopted to identify the categories of learning strategies.

Four categories of workplace learning strategies were identified: self-driven, social-leveraged, enterprise-oriented and information and technology-enhanced (IT-enhanced) strategies. Enablers and challenges of each category were also presented in this study.

The findings provide insights for individuals to establish a repertoire of learning strategies. The inadequate use of IT-enhanced strategies is additionally addressed.

This study examined workplace learning strategies in the context of digital innovation. Based on the empirical findings and existing literature, this study proposes a framework with the supporting features for a digital learning environment.

This paper aims to examine employees’ online learning continuation intentions (OLCI), exploring factors such as performance expectancy (PE), effort expectancy (EE), social influence (SI), perceived benefits (PB) and management support (MS) influencing their commitment to online learning engagement.

The Unified Theory of Acceptance and Use of Technology (UTAUT) model was expanded to include PB and MS constructs. This study used a quantitative research approach using purposive sampling techniques. Three hundred and eighty-six responses from Indian information technology (IT) professionals at various levels were analysed using Statistical Package for the Social Sciences-Analysis of Moments Structures tool.

This study found a strong positive influence of PE, EE, PB and MS on OLCI in the context of post-pandemic. Workplace learning rapidly generates outcomes if employees associate it with their career growth. However, the authors found that SI does not significantly affect OLCI.

This research is unique work in the area of workplace learning by evaluating the OLCI of IT professionals using the extended UTAUT model in a new normal. Moreover, this study contributes to online learning literature with a combined study of technology usage, continuance intention and organization learning and development.

This study aims to examine the effect of firm-specific skills on formal and informal training and development (T&D) effectiveness, job satisfaction, turnover intentions, and the moderating effect of job tenure on each hypothesized path. The authors adopt a micro perspective on human capital, arguing its significance to examine the role of job attitudes in developing firm-specific skills.

A total of 1,514 South Korean workers' responses were obtained from the Human Capital Corporate Panel dataset. This study conducted structural equation modeling (SEM) to examine the structural relationships between the study variables. A subsequent multigroup SEM was conducted to determine whether the structural model differed across job tenures by comparing the results for employees with more than and less than six years of tenure.

The findings indicate that (a) firm-specific skills have a negative effect on formal T&D effectiveness and no significant effect on informal T&D effectiveness; (b) firm-specific skills have a negative effect on job satisfaction and no significant effect on turnover intentions; (c) formal T&D effectiveness has a positive effect on job satisfaction and a negative effect on turnover intentions; (d) informal T&D effectiveness has a positive effect on job satisfaction and no significant effect on turnover intentions; and (e) job tenure partially moderates the relationships among the proposed study variables.

The study's findings provide new insights into human capital theory, focusing on whether firm-specific skills can be a source of sustained competitive advantage from employees' perspectives.

This paper aims to examine and test the moderating influence of the type of knowledge underlying work – known as the knowledge in practice (KIP) perspective – on the relationship between knowledge management (KM) activities and unit performance. KIP proposes that the knowledge underlying work varies according to two dimensions: tacitness and learnability. This theory proposes that aligning KM activities with tacitness and learnability results in increased performance. However, to the authors’ knowledge, there exists no direct empirical tests of these propositions outlined in KIP theory. This study examines the empirical support for the theoretical predictions outlined by KIP.

The study uses a multiple survey, multiple respondent survey design to measure KM activity sets, the tacitness and learnability involved in work contexts and unit performance. Regression analysis is used to test the hypotheses.

In line with previous research, the authors find support for a direct relationship between some KM activity sets and unit performance. Surprisingly, the authors did not find support for the predictions offered by KIP theory. Specifically, the degree of tacitness or learnability did not moderate the relationship between KM activity sets and unit performance.

The lack of findings to support the moderating effects of tacitness and learnability on the relationship between KM activity sets and unit performance challenges the adequacy of existing formulations of KIP theory. The authors discuss several important future research directions to examine this puzzling finding.

This paper reinforces the suggestion that managers at all levels of organizations should engage in KM activities to increase performance. These findings also suggest that considering the type of knowledge underlying a unit’s work should not be a consideration in implementing KM activities.

This is the first study to empirically test a KIP perspective. That is, how the type of knowledge involved in work moderates the relationships between KM activity sets and unit performance.

This paper aims to describe the findings of a recent Infosys survey that found digital technologies are being used to meet focused objectives such as improving customer experience or increasing productivity. This is contrary to much of the earlier rhetoric that large companies must quickly make an exponential change to survive against the digital upstarts.

This paper is based on an Infosys survey of more than 1,000 senior management executives globally at companies with more than US$1bn in annual revenue across the USA, Europe, Australia, China and India.

This paper expands upon findings that outline why soft skills are just as important as technical ones to foster an organizational culture that ensures the success of digital initiatives. Specifically, the paper elaborates on findings across five key areas: planning, hiring, training for skills, incentives and workplace for organizational culture.

This paper will help HR leaders build a lifelong learning culture and use it to retain top talent. This includes pursuing multiple talent approaches and initiatives, providing training programs, rigorous hiring methods and working toward sustainably smarter infrastructures.

Psychologist Ros Taylor interviewed 80 leaders, including chief executives, chairmen and managing directors of some of the leading organizations in the UK and US, in her bid to discover what makes leaders tick. In this article she shares her findings, which cover everything from health and fitness levels to gender differences, and puts forward a top‐ten list.

This study is a comparative organizational analysis of the four subsectors of the Indian information technology (IT) industry, namely, IT service (ITS), business process outsourcing (BPO), software products services (SPS) and engineering and R&D (ER&D). The purpose of this paper is to empirically identify the cross-sectorial attributes, organizational characteristics and the talent best suited to it.

Data were collected using a qualitative research design with semi-structured interviews of 17 industry experts.

Findings suggest there are differences in the internal organization of each subsector and this influences the talent attracted toward it. ITS and BPO are perceived as customer driven sectors where technology is an enabler to facilitate smooth functioning of customer operations. Conversely, technology is the core factor that drives SPS and ER&D. Similar observations and differences in the design, environment, individual motives and competencies are identified. The study also identified the inter-relationships between organizational characteristics, task and social structures in the IT industry using Perrow’s organizational theory.

The findings identify contextual dimensions and shared patterns that exist between the subsectors. At the same time, it distinguishes each subsector in terms of observable and objective characteristics. Significantly, the study highlights the inter-relationships between technology, task, raw material, goal and social interactions. However, the authors stop short of framing hypotheses to test the relationships identified here.

This cross-sectorial study delineates between the four subsectors and provides a foundation for pursuing future investigations in the right direction. This attempt to systematically analyze and compare all the subsectors of the IT industry simultaneously is a distinctive approach. The sectorial diversity suggests a need for talent management practices that will fit the unique characteristics of each subsector.