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This study is based on the development of predictive classification for the success of a venture capital (VC) deal derived from both qualitative and quantitative indicators.

Decision tree analysis has used for devising the success model of VC deal. Various deal characteristics are considered in this study as the observable component of success.

The finding of this analysis indicates that the success of the deal does not only depend on the final outcome like post company valuation (POST_COMP), realised revenue (RREV) but also depends on various observable contractual characteristics like syndication, use of convertible security and ownership percentage with some noticeable deal features.

This study increases the further scope of study on a contractual mechanisms such as allocation of cash flow right and control right in the deal contract between venture investor and entrepreneur firm. This could give a better understanding of success path of a venture deal.

This study has attempted to derive a performance model based on observable attributes of a VC deal.

The objective of this research work is to study the artificial intelligence (AI)-based product benefits and problems of the agritech industry. The research variables were developed from the existing review of literature connecting to AI-based benefits and problems, and 90 samples of primary data from agritech industry managers were gathered using a survey of a well-structured research questionnaire. The statistical package of IBM-SPSS 21 was utilized to analyze the data using the statistical techniques of descriptive and inferential statistical analysis. Results show that better information for faster decision-making has been ranked as the topmost AI benefit. This implies that the executives of agritech units have a concern about the quality of decisions they make and resistance to change from employees and internal culture has been ranked as the topmost AI problem.

The purpose of this paper is to conduct a structured review of the literature on the factors affecting the strategic thinking of an organization. This study offers some theoretical insights by analysing the divergent or analogous views of authors on these factors by analysing the empirical studies carried out in the literature.

An empirical method of conducting a structured literature review has been adopted in this study. Theory context characteristic methodology framework and meta-analysis are the methodologies applied to analyse the different empirical studies conducted in the literature and determine the variation or similarities in the views of authors over the same factor based on their effect sizes. This study analyses over 45 different empirical studies in the literature conducted on the factors affecting strategic thinking.

This study explains how the factors have been similarly or differently explained by the authors in the literature. This analysis gives a better understanding of the factors affecting strategic thinking and quantitatively amalgamates the current empirical studies carried out in the literature. The effects sizes generated for each factor helps in determining the homogeneous or heterogeneous nature of the factor.

The study is limited only to analyse the homogeneity or heterogeneity of the factors affecting strategic thinking at an organisational level. This study can be further extended by analysing the type of effect these factors have on the strategic thinking of the organisation.

The findings of this study identify the homogeneity or heterogeneity of the factors affecting strategic thinking in an organisation. This helps the top management to concentrate on these factors, which might develop a strategic thinking nature in the organisation, leading to the better formation of strategies, and successfully implement them in their businesses.

The study fills the unattended gaps in the literature by analysing the homogeneous and heterogeneous nature of the factors affecting the strategic thinking of an organisation.

This study aims to explore the themes of “Fintech” and “Financial Inclusion” since their inception using bibliometric analysis and pave the way for future research agenda.

The research is based on 351 publications from the Scopus database, covering timespan from 2007 to September 2023. The bibliometric analysis involves performance metrics (e.g. publication year, notable articles, leading journals and influential authors) and scientific mapping (e.g. word map analysis, three-field plot, bibliographic coupling, co-occurrence network analysis and thematic mapping). Tools used include Biblioshiny for performance analysis and VOSviewer for visualization.

The bibliometric analysis reveals the publication trends, most influential authors, articles, journals, countries and important keywords. Subsequently, it presents the network connections among them in the “Fintech” and “Financial inclusion” fields. It identified emerging research diversifications in the literature on fintech and financial inclusion, while performance and citation analysis reveal significant growth in publications since 2019. Science mapping identifies four major clusters of research themes: measuring financial inclusion, leveraging data and analytics, technological change through infrastructure and access and usage of financial services. The study emphasizes the importance of Fintech in enhancing financial inclusion, particularly in developing regions.

The limitation of this study is the extraction of research articles from a single database, Scopus. The study emphasizes the importance of Fintech in enhancing financial inclusion, particularly in developing regions. Future research could explore the role of Fintech in achieving UN Sustainable Development Goals and the G20 High-Level Principles for Digital Financial Inclusion. Additionally, there is a need to examine the behavioral changes induced by Fintech in traditional financial institutions and end-users across different economies.

This is one of the comprehensive studies to explore “Fintech” and “Financial Inclusion” from a bibliometric lens. The study highlights and discusses the recent themes in fintech and financial inclusion from broader social and managerial perspective.

The purpose of this paper is to explore ambidextrous leadership, a complex and multifaceted domain within leadership studies. This study examines the concept of ‘ambidextrous leadership’ from its inception, employing bibliometric analysis and the Theory–Context–Characteristics–Methods (TCCM) framework to address critical research questions and identify pathways for future investigation in leadership research.

To accomplish this objective, the authors conduct a bibliometric analysis and TCCM analysis of ambidextrous leadership, using data sourced from Scopus, the most extensive scientific database for review purposes. By examining 99 documents (spanning from 2007 through September 2023) related to ambidextrous leadership research from Scopus, this paper unveils insights into the performance analysis (such as publication year, noteworthy articles, prominent journals, influential authors and geographic distribution) and the evolution of scientific exploration (including key topics and themes) within the field of ambidextrous leadership over two decades. The investigation used various science mapping tools like keyword analysis, three-field plots, bibliographic coupling, co-occurrence network analysis and thematic mapping analysis. To evaluate the Bibliometric Coupling and Co-occurrence Network, a VOS viewer was used. TCCM analysis guides the future directions of research.

The bibliometric analysis reveals the publication trends, most influential authors, articles, journals, countries and important keywords. Subsequently, it presents the network connections in the field of ambidextrous leadership. TCCM analysis recognized emerging research diversifications in the literature on ambidextrous leadership.

A single database, i.e. Scopus, was used to extract the data which poses a limitation for the current study. This study provides insights to the researchers and practitioners on a comprehensive understanding of the emerging concept of “ambidextrous leadership,” an overview of the publication trends and emerging research themes identified in the clusters, and suggests possible directions for further study using TCCM analysis.

This study provides the intellectual structure of ambidextrous leadership literature and its advancement over the years using bibliometric analysis and TCCM analysis.

Strategic decision-making is a complex process and encompasses an exhaustive knowledge base, collective guidance, contemporary foresight, analytical capabilities, paradigmatic congruence, and risk assessment and optimization within mission space. Employing advanced sciences convergence and analytical methodologies, the aim of this report is to provide a set of plausible solution trajectories to complex scenarios.

Three methodologies are reported here which provide policymakers with plausible solution pathways and alternatives. The methodologies, namely: TechFARM, ADAMS, and NESTTS, involve convergence of scientific disciplines, cutting edge technologies, social dynamics, astute extraction, and principles of foresight to support the process of informed decision-making, as comprehensive tools to develop a plausible solution space and future trends.

The methodologies provided in this report provide scientific basis to trends analysis and foresight. Few selected examples are reported here indicating its practical implications. The methodologies are currently applied to and likely to be used for many applications in trends analysis for government, industry, and even academics. These applications are particularly relevant to policy-making due to their capacity for identification of emerging trends.

Being highly adaptable, these methodologies were initially generated for defense applications, but have since been applied to clean water, cyber-security, the medical sector, and environmental health and safety (EHS) and evaluating eco-toxicity of nanomaterials, to strategically address a variety of global challenges. Additionally, these methodologies support investment recommendations and implementation of policies that promise significant benefit to the public at large.

People with energy poverty are denied the modern energy services such as cooking, lighting, heating, cooling and communication. These needs are all crucial to maintaining an acceptable level of living standards. This paper aims to examine the effects of energy poverty on health and education.

This systematic review was conducted using the 2009 Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. The ScienceDirect, Scopus and Google Scholar databases were used to search the studies conducted between 2012 and 2022. Studies included in this review were searched with some combinations of keywords and saved in Mendeley Desktop for review and referencing. Of 1,745 articles retrieved after removing the duplicates from the databases, 22 met the inclusion criteria.

Out of the total 22 studies reviewed, six were conducted in Asia, six in Europe, four in Africa, three in developing countries and one each in North America, Australia and at global level. Results indicated that impacts of energy poverty on health and education were negative. Efforts should be made to improve the economic conditions of the population in order to allow them access to energy services to achieve higher levels of living.

As this systematic review excludes non-peer-reviewed literature, case studies, reports and theses, and only includes studies published between 2012 and 2022 in English language only, consequently, it may not provide an exhaustive overview of the literature on topic.

To the best of the authors’ knowledge, this is the first systematic review to investigate the relationship between energy poverty, health and education conducted here. The search methodologies involve systematic searches of databases and other manual searches. Considering the wide inclusion criteria, this review is useful as a general overview of the issues and identifies particular gaps in the existing evidence.

The prevention of mental health issues at work represents a significant challenge for organizations. The transformation of workplaces whose future promises to be virtual or hybrid can make the anticipation and prevention of these health issues more challenging, considering the potential distance that it may create between employees and their employers. The recent health crisis undermined individual mental health but also highlighted the importance of new technologies which greatly paved the way for the future of workplaces. This paper aims to examine these new technologies, specifically the use of blockchain technologies in organizations to predict and prevent mental health issues at work, specifically psychological distress, in times of crisis, and beyond. It addresses the main challenges and opportunities and presents research avenues as well as insights for human resource management (HRM) practitioners.

This paper is a viewpoint that addresses the use of blockchain technology in the prevention of employees’ mental health at work in times of crisis and beyond. Literature was used to support this viewpoint and highlight the importance of addressing mental health issues at work and preventing their occurrence in the future.

Blockchain is one of the disruptive new technologies that can be used as a strategic tool for organizations to prevent mental health issues among employees in the workplace in times of crisis, and beyond. It facilitates the collaboration between employees, their organization, healthcare and employee assistance program (EPA) providers, as well as insurance companies. In this context, a specific type of blockchain should be used to support this type of collaboration.

Blockchain can generate both opportunities and challenges for the prevention of mental issues at work. It can transform the future of workplaces and help organizations as well as healthcare and EPA providers to anticipate potential employees’ mental health issues in 2019. Organizations need to address their readiness to implement this new technology and the possible reluctance of their employees to use it. This paper presents insights for managers and HRM practitioners.

The studies that have addressed the use of blockchain in organizations to prevent employees’ mental health issues are sparse. This paper is an attempt to address this gap and examine the challenges as well as the opportunities associated with the use of this disruptive new technology that can significantly reshape the future of workplaces.

The purpose of this study is to develop an integrated approach to evaluating corporate foresight (CF) studies at all stages of its implementation and to test this approach using the example of a Russian state-owned corporation.

The use of foresight by companies as a part of their strategic activities is growing but still rather limited. To increase the effectiveness of foresight at the corporate level and ensure its justification, special approaches and criteria for its evaluation should be developed. To develop the approach to evaluation of CF which would be useful at all stages of foresight realization, at first, the authors focused the authors’ attention on identification of main challenges, problem and barriers, which arise during foresight process on the one hand, and exploring success factors and lessons learnt from different case studies on the other hand. On the basis of this literature analysis, the authors have formed a long list of evaluation criteria, which reflect accumulated experience in the field and all-important aspects to make foresight project successful and effective. On the next step, the authors related these criteria with stages of foresight realization and evaluation category. For pilot testing of this methodology, the authors used a case of Russian state-owned corporation.

This paper has presented an integrated approach to the evaluation of CF projects. The logic of the evaluation process of CF at all stages of its implementation is proposed; key evaluation topics (concept, objectives, project team, design of the project, project methodology, stakeholders, implementation, resources, results and its dissemination, effects and impact and barriers) are identified, and the corresponding sets of criteria are formed.

The originality of the work lies in using a wide experience of national foresight studies evaluation for corporations. The suggested approach could be used as a framework for CF evaluation. It was tested on the Russian state-owned company RussX.

The purpose of this paper is to investigate and select various significant technology push (TP) strategies affecting sustainable development in manufacturing organizations. The study deploys structural equation modeling (SEM) technique to empirically validate the interrelationships amongst significant TP strategies and sustainable development indicators in SEM-TP Model.

Confirmatory factor analysis approach is utilized to generate an effective SEM-TP Model by using AMOS 21 (Analysis of Moment Structures) software. The data have been collected from different manufacturing organizations practicing TP strategies, using a well-framed TP questionnaire for the evolution of SEM-TP Model.

SEM modeling of various TP strategies like, innovative capability (IC), research and development, corporate strategy (CS) and export orientation towards achieving sustainable development in manufacturing industries has been performed. SEM-TP Model has been planned and reports obtained before and after modification indices (MI) of the model are correlated, which further establishes improvements in model’s effectiveness. The research concludes that two TP strategies namely, IC and CS are found to be significant in the present context. These strategies have emerged as a foundation for several development initiatives and actively support manufacturing industries in achieving sustainable development. The results obtained from final model may support organizational managers and TP practitioners to improve the overall performance of manufacturing industries involved in the present study. The manufacturing enterprises will be able to frame or enhance their corporate strategies and innovative capabilities in a more appropriate way.

In the present study, contributions of TP practices are determined to accomplish sustainable development in manufacturing industries. Otherwise, issue-wise independent modeling can also be performed to assess the importance of TP practices towards achieving quality and sustainable development under specific orientations.

The research gives priority to enhancement in the coordination among various TP practices and sustainable development parameters in the industries, to inculcate TP as a crucial strategy to meet challenges in global markets.

It has been exhibited from model that adequate TP strategies can effectively contribute towards recognition of sustainable development to compete in the highly progressive markets. The results of various interrelationships among TP practices and sustainable development indicators in SEM-TP Model portray the effectiveness of TP practices for accomplishment of organizational and social ambitions.

The outcomes of the study will help organizational managers, HR executives and TP practitioners in manufacturing industries to know about the significant TP strategies to be followed holistically for achieving sustainable development.