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The purpose of this bibliometric and systematic literature review is to survey and evaluate key study’s in tacit knowledge (TK). Through analysing and synthesizing based on the antecedents, decisions, outcomes-theories, context and methods (ADO-TCM) framework, this paper highlights research gaps and avenues for future research. It is important to recognize the antecedents, results and theories in the available literature as it offers enough evidence for encouraging the significance of TK.

This research paper follows a bibliometric analysis and systematic approach in identifying, analyzing and synthesizing pertinent literature in TK. A total of 59 research studies were carefully and systematically reviewed with the help of NVivo12 and excel software to code and analyse.

With the help of bibliometric analysis and framework-based systematic review, this research paper offers a retrospective view of the TCM framework in the amalgamation with ADO framework, bibliometric analysis and important themes of TK research.

This paper is different from existing reviews as the authors have to combine bibliometric analysis and framework-based systematic review approach to provide a more robust encapsulation of TK research. To the best of the knowledge, the present research is one of the first systematic reviews based on a framework relating to TK.

This study aims to examine the comprehensive relationship among dimensions of social capital (SC) and web 2.0 on tacit knowledge sharing (TKS). This research studies innovative work behavior (IWB) as an outcome of TKS. The study also aims to examine the moderating impact of absorptive capacity (AC).

The empirical research collected data from 497 information technology (IT) professionals working in IT organizations. Data were evaluated and presented in tables using the Smart PLS 3.3.3 software.

The results indicated that SC and web 2.0 significantly affected TKS. The finding also discusses the significant impact of TKS in influencing IWB among IT professionals. The results indicated that AC moderates the relationship between TKS and IWB.

The present paper contributes significantly toward an investigation of TKS, SC, web2.0, AC and IWB as an outcome. The authors also validate and analyze the significant SC higher-order incorporated in all dimensions of SC, thus, forming the methodological part.

The research aims to measure the effectiveness of collaborative learning exchanges transpired through digital tools and technologies (DT&Ts) employed by the mentor universities during the COVID-19 pandemic by conducting an empirical study on undergraduate students in Indian higher educational institutions (HEIs) under the mentorship program based on the corporate social responsibility (CSR) initiative. The pandemic scenario, its impact on the mentor university's social responsibility and the way DT&Ts can assist are investigated in this article.

The interactions with experts and students were conducted to explore the DT&Ts for learning exchanges. Next, structural equation modeling (SEM) was performed to validate the model and perform regression analysis. The quantitative data collection was made through questionnaires during the second deadly wave of COVID-19 that hit India.

The independent variables (IVs) such as the IT infrastructure support (IT_IS), virtual collaborative tools (VCTs) and future-oriented technologies (FOTs) have a significant impact on the CSR learning outcomes (CSR_LOs) of undergraduate students under the mentorship program. However, IV research instruments for innovation could not make a significant effect.

The IVs IT_IS, VCTs and FOTs influence the CSR_LOs, while RII does not have an influential impact.

As the online learning environment is expected to stay at least in a blended form, adequate CSR funding in infrastructure is necessitated to harness the full potential of this important resource, technology. The results of this empirical investigation affirm that IT_IS, VOTs and FOTs significantly impact CSR_LOs during the crisis. The study findings would encourage the mendtor universities and their stakeholders, including the mentee universities, to evolve and create an ecosystem for effective management of these resources to attain positive outcomes. The study findings can guide the mentor universities in managing uncertainties like pandemics and effectively using the earlier-mentioned critical resources for social responsibility. This research also allows the development of future applications adnd models in mentor-mentee universities for social responsibility, post-pandemic transformation and resilience.

The DT&Ts came to the immediate rescue during the pandemic and positively affected collaborative CSR_LOs by the mentor universities, but they have not evolved to a level where offline learning can be replaced entirely. Hence, it can be inferred that a hybrid model is preferable. The study also improves the understanding of how DT&Ts are being harnessed to aid collaborative learning in fulfilling the mentors' CSR in fatal emergencies. The purpose is to equip the education system through mentorship so that universities can sustain, innovate and grow even in trying times. Also, it discusses the dynamics of various DT&Ts for creating a sustainable learning environment and utilizing them to make the teaching prolific and influential.

There is a scarcity of literature regarding the learning outcomes realized through CSR initiatives and collaboration between mentor-mentee institutions. There is a need to understand how these knowledge exchanges continued despite the physical restrictions during the pandemic. In this direction, this study helps to understand how the DT&Ts played a critical role in continuing learning and keeping abreast in a knowledge society from the perspective of resource-based view (RBV) in these precarious situations.

The purpose of this paper is to examine the role of green intellectual capital in fostering societal sustainability. Also, this study investigated how co-creational customer capital mediates the relationship between green intellectual capital and societal sustainability. The paper draws attention to co-creating customer capital and understanding its impact on societal sustainability in high-contact service startups.

Data were collected from responses from 376 high-contact service startup firms headquartered in the Indian subcontinent, particularly emerging markets. The proposed conceptual model was analyzed using the partial least squares structural equation modeling (PLS-SEM) approach. The analysis is based on primary data obtained from strategic-level employees.

The results highlight the impact of co-creational customer capital in the Green Intellectual Capital – Societal Sustainability (GICS) model. Green intellectual capital components significantly influence societal sustainability outcomes in the existence of co-created customer values. It establishes customer capital as an essential factor that mediates the relationship between green intellectual capital and societal sustainability.

This research provides conceptualization and subsequent investigation of customer value creation in service-led startups. The construct co-creation is more appropriate for the service industry in common.

This paper establishes co-created customer capital as an enabler in transforming underlying components of green intellectual capital into societal sustainability measures. Firms may generate higher customer value by pooling green human and relational capital along with active customer response and shared knowledge. This creates an organizational asset termed co-created customer capital specific to service industries.

The article proposes a novel way to analyze customer value in service organizations. To the best of the authors’ knowledge, no study has looked at how co-creational customer capital could act as a mediator between green intellectual capital and societal sustainability in the service industry context, particularly for SMEs and startups from emerging economies. Co-created customer capital may be used as an instrument to overcome managerial challenges in the context of transforming green intellectual capital into societal capital.

With new hybrid working models in place post COVID-19, it is requisite that knowledge workers (KWs) stay agile. Knowledge-oriented leadership (KOL) can help employees with essential knowledge acquisition (KA) facilitating the journey toward hybrid work agility (HWA). This study, thus, aims to explore the impact of KOL and KA on HWA and reveal whether this effect stems uniformly from a single homogenous population or if there is unobserved heterogeneity leading to identifiable segments of agile KWs.

Data was collected through stratified sampling from 416 employees from 20 information technology enabled services companies involved in knowledge-intensive tasks. Partial least squares (PLS) structural equation modeling approach, using SMART PLS 4.0, has been applied to examine the effect of KOL and KA on HWA. Finite mixture PLS, PLS prediction-oriented segmentation and multigroup analysis have been used to identify segments, test segment-specific path models and analyze the significance of the differences in the path coefficients for unobserved heterogeneity. Predictive relevance of the model has been determined using PLS Predict.

Results indicate that KOL contributes to employees’ KA and HWA. A significant positive relationship is also reported between KA and HWA. The model has medium predictive relevance. A two-segment solution has been delineated, wherein independent agile KWs (who value autonomy and personal agency over leadership for KA) and dependent agile KWs (who depend on leaders for relational and structural support for KA) have been identified. Thus, KOL and KA play a differential role in determining HWA.

The authors’ major contribution to the knowledge body constitutes the determination of antecedents of HWA and a typology of agile KWs. Future researchers may conduct segment-wise qualitative analysis to delineate other variables that contribute to HWA.

Technological advances necessitate that knowledge-intensive industries foster agility in employees for strategic agility of the organization. For effecting agile adaption of an organization to the knowledge economy conditions, it is pertinent that the full potential of this human resource be used. By profiling HWA of KWs on the basis of dimensions of KOL and the level of their KA, organizations will be able to help employees adapt better to rapidly changing work conditions.

HWA is a novel concept and very germane in a hybrid working environment. To the best of the authors’ knowledge, this is the first study to examine the effects of the dimensions of KOL and KA in relation to HWA, along with an empirical examination of unobserved heterogeneity in the aforementioned relationship.

The significant role of universities in generating and diffusing new knowledge in the interest of society has positioned faculty as knowledge creators. The present study contributes to the domain of positive psychology by heeding the happiness call in academia. The research intends to develop and validate a scale for measuring happiness at work (HAW) for knowledge creators.

The study is systematically designed across a series of four independent studies: (1) Dimensionality and item analysis, (2) scale purification, (3) scale refinement and nomological validation and (4) generalizability. Additionally, common method bias (CMB) was checked utilizing the marker variable technique.

HAW has been established as a second-order reflective-reflective construct with six factors, namely work satisfaction, self-directedness, self-love, positive thinking, positive social relationships and work-family balance. The nomological validity and generalizability of the scale have also been established.

The study is an attempt to address an important topic of HAW among knowledge creators. By conceptualizing HAW as a combination of intraindividual and organizational factors, this study offers a comprehensive measure of HAW that was previously absent in the literature. The results of the study will assist management in making strategic decisions to ensure the HAW of knowledge creators.

Knowledge creators’ happiness is a major concern in academia and has received little attention till date. The primary contribution of this study is the conceptualization and development of a validated scale for measuring knowledge creators’ HAW. A valid and reliable scale for measuring HAW would enable researchers to gain fresh perspectives on the essence, attributes and quantification of this particularly noteworthy construct.

The contemporary business environment steered by forces of globalization, digitization and automation can only be navigated by a resilient workforce. This requires inculcating self-leadership (SL) traits in individuals, which will allow them to exercise self-direction and self-motivation required to survive high-strain situations. The SL characteristics most significantly reflected by Musk are self-goal setting, authenticity and responsibility. Least evidence was found for positive self-talk and self-cueing. This study aims to add to the repertoire of leadership studies, furnishing important implications for academia and practice.

In this paper, the authors explore the dimensionality of SL through a systematic literature review. The authors also take the case of Elon Musk, one of the most resilient technopreneurs in the contemporary business world, and scrutinize his journey as a self-leader.

The SL characteristics most significantly reflected by Musk are self-goal setting, authenticity and responsibility. Least evidence was found for positive self-talk and self-cueing. This study adds to the repertoire of leadership studies, furnishing important implications for academia and practice.

To the best of the authors’ knowledge, this is the first paper to explore the controversial Elon Musk’s leadership style through the prism of SL.

Massive open online courses (MOOCs), a Taylorist attempt to automate instruction, help make course delivery more efficient, economical and better. As an implementation of Digital Taylorism Implementation (DTI), MOOCs enable individuals to obtain an occupation-oriented education, equipping them with knowledge and skills needed to stay employable. However, learning through online platforms can induce tremendous amounts of technology-related stress in learners such as complexity of platforms and fears of redundancy. Thus, the aim of this paper is to study how student perceptions of DTI and technostress (TS) influence their perceived employability (PE). The role of TS as a mediator between DTI and PE has also been studied.

Stratified sampling technique has been used to obtain data from 305 students from 6 universities. The effect of DTI and TS on PE, and the role of TS as a mediator, has been examined using the partial least squares (PLS) structural equation modelling approach with SMART PLS 4.0. software. Predictive relevance of the model has been studied using PLSPredict.

Results indicate that TS completely mediates the relationship between DTI and PE. The model has medium predictive relevance.

Learning outcomes from Digitally Taylored programs can be improved with certain reforms that bring the human touch to online learning.

This study extends Taylorism literature by linking DTI to PE of students via technostress as a mediator.

The purpose of this study is to identify and explain the role of motivation in facilitating knowledge sharing (KS). This study explains the connection between “motivation” and “knowledge sharing” or KS. Research finding offers significant theoretical and practical suggestions. Theoretically, the study provides clarity on various motivation theories and important constructs in KS.

This research reviews the literature on knowledge management in detail along with other published works. A search was conducted using online databases on the Web of Science (WoS) and Google Scholar. An analysis was done with the help of qualitative software NVivo 12 to critically analyze literature.

This theoretical review offers a retrospective view of theories, context, methods, antecedents or enablers to understand the motivation theories used in knowledge sharing research and provides a guideline for upcoming researches to contemplate and examine numerous motivation theories and also choose the most significant motivation theory and their construct in the researches on KS.

This theoretical review contributes toward knowledge sharing and motivation literature. There are no reviews on knowledge sharing relating to contemporary motivational theories to the best of our knowledge.

Intrapreneurial ability (IA) of employees strengthens an organization's internal as well as external growth. Employees' IA makes innovation a continuous practice and augments organization's intellectual capital (IC). This intellectual capital-based intrapreneurial ability (ICIA) helps professionals to effectively handle changes in the business ecosystem by creating innovative solutions. The onus of assessing and inculcating ICIA is a joint responsibility of both academia and industry. In academia, teacher as a servant leader (TASL) contributes towards building ICIA of working professionals (WP) by enhancing their self-efficacy (SE). The paper aims to strengthen the industry–academia interface by analyzing the role of TASL and SE in influencing the ICIA of WP.

Using a stratified sampling technique, data from 387 WP is analyzed on SmartPLS-4 to study the interrelationship between the stated constructs and the role of SE as a mediator between TASL and ICIA. PLSpredict is used to study the predictive relevance of the proposed model.

High R² = 0.654 shows that 65% of ICIA is determined by SE and TASL; reflecting model's robustness. SE partially mediates the relationship between TASL and ICIA. Results reported a higher ICIA of male WP than their female counterpart. The results indicate the low predictive accuracy of the model.

The proposed model of industry–academia partnership allows assessment of ICIA for enhancing corporate value in the present gig economy. The study also highlights the relevance of ICIA, particularly, for developing economies. In knowledge-driven economy, exploring the new ICIA will help organizations to draft a more robust performance measurement system.

This unique industry–academia partnership studies the role of TASL towards enhancing SE and ICIA of WP. The novelty of ICIA would enrich and provide a new perspective in IA literature. Additionally, the study also examines the role of gender in the ICIA of WP.