Search results

1 – 10 of 14
Per page
102050
Citations:
Loading...
Access Restricted. View access options
Article
Publication date: 19 December 2024

Neelam Rani, Muhammad Zafar Yaqub, Nidhi Singh and Pierpaolo Magliocca

The purpose of this paper is to review how knowledge transfer, including knowledge integration, absorptive capacity and reverse knowledge transfer (RKT) in cross-border…

68

Abstract

Purpose

The purpose of this paper is to review how knowledge transfer, including knowledge integration, absorptive capacity and reverse knowledge transfer (RKT) in cross-border acquisitions, is examined in existing research work. The authors also propose directions to advance research in cross-border acquisitions.

Design/methodology/approach

A systematic literature review is conducted, and related propositions are advanced based on scientometric and bibliometric analysis of 146 papers published over 10 years about tacit knowledge transfer, innovation activities, industrial policy effect on merger decisions, top management experience and value creation in cross-border acquisition. First, the authors searched major themes with the help of Scopus, and later, the authors analysed all received literature with the help of VOS Viewer.

Findings

This review facilitates us to identify six clusters and main author keywords. These six clusters are the underlying six research streams, including RKT, cultural distances, value creation, absorptive capacity, innovation and reference to India and China.

Originality/value

Despite knowledge transfer constituting important antecedents and critical factors for the success of cross-border acquisitions, knowledge management in the acquired company through proper knowledge transfer and knowledge integration is not given enough attention. Current literature still fails to provide a holistic picture of how firms strategically manage knowledge post-acquisition. To the best of the authors’ knowledge, this study is the first to analyse the dynamics of knowledge transfer in cross-border acquisitions. The study is a novel attempt to relate current research themes to emerging areas of cross-border acquisitions.

Access Restricted. View access options
Article
Publication date: 12 November 2019

Neelam Rani, Surendra S. Yadav and Naliniprava Tripathy

The purpose of this paper is to examine the capital structure determinants and speed of adjustment (SOA) toward the target capital structure of firms.

1457

Abstract

Purpose

The purpose of this paper is to examine the capital structure determinants and speed of adjustment (SOA) toward the target capital structure of firms.

Design/methodology/approach

The study has used the generalized method of moments (GMM) model and two-stage least squares (TSLS) to the panel data of 3,310 Indian firms, from January 2000 to March 2018, to determine the adjustment speed toward target capital structure. Further, the study employed a fully modified ordinary least square technique to shed light on the dynamic nature of the adjustment process.

Findings

The results of the GMM estimations indicate that Indian firms are adjusting their capital structure toward the target rate of 10.38 percent per year. Similarly, the findings of TSLS estimate specify a SOA of 15.49 percent per year. The low adjustment speed suggests the prevalence of higher adjustment costs of Indian firms.

Research limitations/implications

Future research can be undertaken by including certain macroeconomic factors such as GDP, inflation and the interest rate, which also affect the SOA since firms are pretentious by market conditions while designing capital structure for firms.

Practical implications

In the current financial and regulatory set-up when there are frequent perturbations in the capital market, the study will be valuable for regulators, firms and academicians. The work would enable the concerned stakeholders to manage their scare resources and capital effectively by a better way to make informed decisions. It will facilitate managers of young companies to identify and regulate the factors that are more pertinent for them to make flexible financial decisions concerning the capital structure.

Originality/value

The study amplifies on previous studies and provides new insights on the speed of the adjustment process of Indian firms, helping to modify and refine their capital structures toward the optimum capital structure. This will not only enhance the financial flexibility in the capital structure of Indian corporates but also be of great value to the policymakers and other stakeholders.

Details

Journal of Advances in Management Research, vol. 17 no. 2
Type: Research Article
ISSN: 0972-7981

Keywords

Access Restricted. View access options
Article
Publication date: 11 September 2023

Kumar Saurabh, Parijat Upadhyay and Neelam Rani

Decentralised autonomous organisations (DAOs) are internet-native self-governing enterprises where individual groups, communities, agencies, consumers and providers work together…

438

Abstract

Purpose

Decentralised autonomous organisations (DAOs) are internet-native self-governing enterprises where individual groups, communities, agencies, consumers and providers work together using blockchain-led smart contracts (SCs). This study aims to examine the role of DAO marketplaces in technology-led autonomous organisation design for enterprise technology sourcing industries, with algorithmic trust and governance.

Design/methodology/approach

The authors examined the importance of an enterprise marketplace governance platform for technology sourcing using DAO as a decentralised/democratised business model. A total of 98 DAO products/services are evaluated across 11 industries that envisage DAO as a strategic choice for the governance of decentralised marketplace platforms.

Findings

The research findings validate how a DAO-led enterprise marketplace governance platform can create a cohesive collaboration between consumers (enterprises) and providers (solution vendors) in a disintermediated way. The proposed novel layered solution for an autonomous governance-led enterprise marketplace promises algorithmic trust-led, self-governed tactical alternatives to a strategic plan.

Research limitations/implications

The research targets multiple industry outlooks to understand decentralised autonomous marketplace governance and develop the theoretical foundation for research and extensive corporate suitability.

Practical implications

The research underpinnings boost the entrepreneurs’ ability to realise the practical potential of DAO between multiple parties using SCs and tokenise the entire product and service offerings over immutable ledger technologies.

Originality/value

To the best of the authors’ knowledge, this research is unique and the first of its kind to study the multi-industry role of algorithmic trust and governance in enterprise technology sourcing marketplaces driven by 98 decentralised and consensus-based DAO products across 11 industries.

Details

Digital Policy, Regulation and Governance, vol. 25 no. 6
Type: Research Article
ISSN: 2398-5038

Keywords

Access Restricted. View access options
Article
Publication date: 18 February 2025

Khanindra Ch. Das, Neelam Rani, Rahul Bodhi and Muhammad Zafar Yaqub

The advancement of artificial intelligence (AI) and robotics helps firms achieve seamless production, distribution and service delivery. This study uses a sample of developed and…

33

Abstract

Purpose

The advancement of artificial intelligence (AI) and robotics helps firms achieve seamless production, distribution and service delivery. This study uses a sample of developed and developing countries to examine the impact of robots on AI-related employment.

Design/methodology/approach

The present study underlies cross-country evidence using a sample of 28 countries between 2016 and 2022. The source data are captured from the Artificial Intelligence Index Report, Statista, World Intellectual Property Organization, World Development Indicators and World Governance Indicators. We employed panel data techniques for analysis purposes.

Findings

This study unravels the impact of robot use on AI employment in developed and emerging economies. The dynamic panel threshold regression models support the contention that the effects of robots on AI employment are more complex than they are made to be. The impact varies below and above the threshold of country-specific variables such as internet penetration, innovation parameters, gross domestic product (GDP) per capita and labor force quality.

Originality/value

This study offers new perspectives on robot and AI-related employment by utilizing a sample of developed and developing countries. It considers the inclusion of country-specific variables. The study provided insights into the economic value creation by labor that would be shaped by the threshold of technological infrastructure, economic conditions and governance standards of countries, thereby contributing to the employment relations literature.

Details

International Journal of Manpower, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0143-7720

Keywords

Access Restricted. View access options
Article
Publication date: 16 March 2022

Kumar Saurabh, Neelam Rani and Parijat Upadhyay

Today, business model innovations leverage digital technologies to gain a competitive advantage and transform business processes. Blockchain is still gaining attention in specific…

2121

Abstract

Purpose

Today, business model innovations leverage digital technologies to gain a competitive advantage and transform business processes. Blockchain is still gaining attention in specific fields and bringing value to business models. There is a dearth of research on how blockchain decentralized autonomous organizations impact organization business model innovations. This study attempts to contribute the body of knowledge based on a review of decentralized autonomous organizations and the business model innovation literature using the integrative and generative approach.

Design/methodology/approach

The paper offers an analysis of decentralized autonomous organizations based on digital business models built on the well-established work by Osterwalder and Pigneur (2010). The practical multilayered decentralized autonomous organizations architectural implementation model design is achieved using practical archetypes depicted in the proposed decentralized autonomous organizations business model. The paper evaluates a marketplace comprising 13 decentralized autonomous organizations led platforms with core functionalities.

Findings

The paper delivers decentralized autonomous organizations led digital business model canvas elements to explain decentralized autonomous organization business model innovations. It presents the underlying multilayered decentralized autonomous organizations architectural implementation model required to conceptualize a practical business model with an enterprise-ready target operating model.

Research limitations/implications

The paper contributes directly to the practical decentralized autonomous organizations business model canvas, exemplifying the nine elements of decentralized autonomous organizations’ characteristics for any organizational transformation. The tools and accelerators (business model, layered architecture, target operating model and product mapping) developed in the paper address the managerial challenges of redesigning the decentralized business models.

Originality/value

The proposed decentralized autonomous organizations smart contract powered business model provide a digital platform to adhere to rules, follow policies, preserve principles and develop consensus without human interventions. The paper shapes the first of its kind decentralized autonomous organizations marketplace evaluation while mapping it to decentralized autonomous organizations layered architecture product requirement considering business model dimension to adopt actionable target operating model.

Details

Benchmarking: An International Journal, vol. 30 no. 2
Type: Research Article
ISSN: 1463-5771

Keywords

Access Restricted. View access options
Article
Publication date: 7 December 2021

Kumar Saurabh, Ridhi Arora, Neelam Rani, Debasisha Mishra and M. Ramkumar

Digital transformation (DT) leverages digital technologies to change current processes and introduce new processes in any organisation’s business model, customer/user experience…

2323

Abstract

Purpose

Digital transformation (DT) leverages digital technologies to change current processes and introduce new processes in any organisation’s business model, customer/user experience and operational processes (DT pillars). Artificial intelligence (AI) plays a significant role in achieving DT. As DT is touching each sphere of humanity, AI led DT is raising many fundamental questions. These questions raise concerns for the systems deployed, how they should behave, what risks they carry, the monitoring and evaluation control we have in hand, etc. These issues call for the need to integrate ethics in AI led DT. The purpose of this study is to develop an “AI led ethical digital transformation framework”.

Design/methodology/approach

Based on the literature survey, various existing business ethics decision-making models were synthesised. The authors mapped essential characteristics such as intensity and the individual, organisational and opportunity factors of ethics models with the proposed AI led ethical DT. The DT framework is evaluated using a thematic analysis of 23 expert interviews with relevant AI ethics personas from industry and society. The qualitative data of the interviews and opinion data has been analysed using MAXQDA software.

Findings

The authors have explored how AI can drive the ethical DT framework and have identified the core constituents of developing an AI led ethical DT framework. Backed by established ethical theories, the paper presents how DT pillars are related and sequenced to ethical factors. This research provides the potential to examine theoretically sequenced ethical factors with practical DT pillars.

Originality/value

The study establishes deduced and induced ethical value codes based on thematic analysis to develop guidelines for the pursuit of ethical DT. The authors identify four unique induced themes, namely, corporate social responsibility, perceived value, standard benchmarking and learning willingness. The comprehensive findings of this research, supported by a robust theoretical background, have substantial implications for academic research and corporate applicability. The proposed AI led ethical DT framework is unique and can be used for integrated social, technological and economic ethical research.

Details

Journal of Information, Communication and Ethics in Society, vol. 20 no. 2
Type: Research Article
ISSN: 1477-996X

Keywords

Access Restricted. View access options
Article
Publication date: 9 November 2022

H. Kent Baker, Deepak Kumar and Neelam Rani

Foreign divestment of subsidiaries is a growing research field. The global increase in investments has led to more divestments. However, much about the processes and circumstances…

575

Abstract

Purpose

Foreign divestment of subsidiaries is a growing research field. The global increase in investments has led to more divestments. However, much about the processes and circumstances leading to foreign divestments (FDs) requires further investigation. This study aims to review and consolidate the existing literature on foreign divestment and identify avenues for future research.

Design/methodology/approach

This study performs a systematic literature review and bibliometric analysis of studies on FDs to highlight the traditional and emerging perspectives in the field. This work examines foreign divestment theories based on operations, human resources, finance and marketing business functions.

Findings

This study sets forth a basic foreign divestment framework and highlights potential research areas. Future studies should expand to emerging economies, explore complex relationships, distinguish foreign divestment types and identify the limits of various theories and perspectives.

Originality/value

This study discusses traditional theories such as economies of scale, portfolio adjustment, reverse eclectic, real options and transaction cost economies. This study also examines emerging perspectives: attention-based, behavioral, committedness, contingency, favoritism, flexibility, hysteresis, legitimation, network and resource-based views. This study uses traditional and emerging theories to explain foreign divestment decisions in different business functions.

Details

Qualitative Research in Financial Markets, vol. 15 no. 2
Type: Research Article
ISSN: 1755-4179

Keywords

Access Restricted. View access options
Article
Publication date: 2 November 2015

Neelam Rani, Surendra S Yadav and P K Jain

The purpose of this paper is to investigate the impact of mergers and acquisitions (M & A) on corporate performance. It addresses the major question related to the…

6323

Abstract

Purpose

The purpose of this paper is to investigate the impact of mergers and acquisitions (M & A) on corporate performance. It addresses the major question related to the long-term performance of the acquiring firm.

Design/methodology/approach

The paper uses the long-term pre- and post-merger financial data to investigate the long-term performance. It compares performance of the acquiring firms before and after M & A. The present work conducts a comprehensive ratio analysis of 14 major ratios related to profitability, efficiency, leverage and liquidity. To ascertain the sources of the better long-term post-M & A returns, the present work decomposes the measure of operating performance into its constituents in terms of Du Pont analysis.

Findings

Taking a sample of 305 M & As during the period of January 2003 to December 2008, it has been observed that there is significant improvement in the profitability of the acquiring companies involved in M & A. The results pertaining to profitability, efficiency (in terms of utilization of fixed assets), expense and liquidity ratios show that there is an improvement in performance of the acquiring firms in the post-M & A period. The analysis in terms of Du Pont shows improvement in the long-term operating profit margin of the acquiring firms. This means higher profit is generated per unit net sales by the acquiring firms after the M & A. The higher profits (profit before interest and taxes and non-operating income) are generated primarily due to the better operating margins. The improved operating cash flows are on account of the improvement in the post-M & A operating margins of the acquirers, not due to the efficient utilization of the assets turnover to generate higher sales.

Originality/value

The paper contributes to the existing literature by comparing operating performance and profitability of acquirers before and after M & A using a comprehensive set of 14 ratios for a substantially large sample.

Details

International Journal of Commerce and Management, vol. 25 no. 4
Type: Research Article
ISSN: 1056-9219

Keywords

Available. Content available
Article
Publication date: 7 September 2015

S.K. Shanthi, Sanjoy Sircar and K. Srinivasa Reddy

311

Abstract

Details

International Journal of Commerce and Management, vol. 25 no. 3
Type: Research Article
ISSN: 1056-9219

Available. Content available
Article
Publication date: 16 November 2015

Sanjoy Sircar, Rajat Agrawal, SK Shanthi and K. Srinivasa Reddy

414

Abstract

Details

Journal of Strategy and Management, vol. 8 no. 4
Type: Research Article
ISSN: 1755-425X

1 – 10 of 14
Per page
102050