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Article
Publication date: 1 February 2000

Jill M. Purdy, Pete Nye and P.V. (Sundar) Balakrishnan

Our need to understand the impact of communication media on negotiation is growing as technological advances offer negotiators more communication options. As access to…

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Abstract

Our need to understand the impact of communication media on negotiation is growing as technological advances offer negotiators more communication options. As access to technologies such as computer chat and videoconferencing increases, negotiators are choosing to use or to avoid these media without knowing the impact of their choices on negotiations. This research assesses objective and subjective negotiation outcomes, such as profit and outcome satisfaction, across four communication media with varying levels of media richness (face‐to‐face, videoconference, telephone, and computer‐mediated communication). A conceptual framework is offered to illustrate how media richness impacts objective and subjective outcomes. Results suggest that media richness affects required bargaining time, outcome satisfaction and the desire for future negotiation interaction. Thus, the communication media for negotiations should be chosen with care.

Details

International Journal of Conflict Management, vol. 11 no. 2
Type: Research Article
ISSN: 1044-4068

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Article
Publication date: 17 November 2022

Vimala Balakrishnan, Luqman Hakim Abdul Rahman, Jia Kai Tan and Yee Sin Lee

This systematic review aims to synthesize the literature reporting the motives, sociodemographic, attitude/behavior and impacts of fake news during the COVID-19 pandemic…

754

Abstract

Purpose

This systematic review aims to synthesize the literature reporting the motives, sociodemographic, attitude/behavior and impacts of fake news during the COVID-19 pandemic, targeting the general population worldwide.

Design/methodology/approach

A systematic review approach was adopted based on PRISMA, targeting articles published in five databases from January 2020 to November 2021. The screening resulted in 46 eligible papers.

Findings

Results indicate low level of awareness, knowledge, media/health literacy, low trust in science/scientists and entertainment/socialization to be the main motivating drivers for fake news dissemination, whereas the phenomenon is more prominent among those with low socio-economic status, and males. Negative impacts were reported due to fake news dissemination, especially violation to precautionary measures, negative affections, and low trust in government/news, with many believing that others are more susceptible to fake news than themselves.

Social implications

Considering the pandemic is still on-going and the deleterious consequences of fake news, there is a need for cohort-based interventions from the concerned authorities.

Originality/value

The systematic review covers a wide timeline of 23 months (i.e. up to end of 2022) targeting five well-known databases, hence articles examined are deemed extensive and comprehensive. The review specifically focused on the general population with results revealing interesting motives, sociodemographic profiles, attitude and impact of this phenomenon during the COVID-19 pandemic.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-02-2022-0082.

Details

Online Information Review, vol. 47 no. 5
Type: Research Article
ISSN: 1468-4527

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Case study
Publication date: 23 June 2021

Arpita Agnihotri and Saurabh Bhattacharya

Case can be taught at the undergraduate or postgraduate level, including executive Master of Business Administration programs.

Abstract

Study Level/Applicability

Case can be taught at the undergraduate or postgraduate level, including executive Master of Business Administration programs.

Subject Area

This case is intended for courses in strategic management, entrepreneurship and innovation at the undergraduate or postgraduate level.

Case Overview

The case is about challenges faced by Linda Portnoff, the Co-founder and Chief Executive Officer of Riteband, a Sweden-based fintech startup. In March 2020, Portnoff was conducting beta testing of Riteband’s app, which experts considered the world’s first stock exchange for music trading. After completing a PhD, Portnoff who was working as a Research Analyst, left her job to pursue entrepreneurship. Through Riteband, Portnoff helped to resolve pain points of artists who were forced to give the copyright of their music tracks or albums to distributors, in lieu of funds or promotional campaigns that distributors arranged for them. Portnoff invested in developing a patent-pending machine learning-based algorithm that based on several parameters could predict the likelihood of a music track or an album to become a success. Based on this prediction and royalty that artists were interested in sharing with fans, shares were issued to investors, who were also fans of the artists. As Portnoff identified an innovative business opportunity to trade music on a stock exchange based on Riteband’s machine learning algorithm, competition in Riteband’s strategic group was also becoming intense. Consequently, Portnoff was facing challenges of establishing competitive advantage of Riteband. Furthermore, as women in general faced challenges in raising funds for their startups, and even though Portnoff obtained some funding for Riteband, but overall, funding was a challenge for her as well. Moreover, as machine learning was a technical aspect for artists and potential investors, Portnoff also faced challenges to monetize on its machine learning algorithm.

Expected learning outcomes

By the end of the case study discussion, students should be able to: understand the principles of cross-industry innovation and explain the creation of new business opportunities based on cross-industry innovation; differentiate between direct and indirect competitors through strategic group analysis and further critically analyze the competitive advantage of business over other direct competitors; determine ways of reducing gender biases in venture capital funding; describe how machine learning works and further formulate ways to monetize a business through machine learning; and demonstrate the application of the value proposition canvas and business model canvas.

Subject codes

CSS 3: Entrepreneurship; CSS 11: Strategy.

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Article
Publication date: 27 June 2023

V. Veeravel, Pradiptarathi Panda and A. Balakrishnan

The present study aims to verify whether there is a positive (negative) role being played by the institutional investors on the loss-making companies' performance.

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Abstract

Purpose

The present study aims to verify whether there is a positive (negative) role being played by the institutional investors on the loss-making companies' performance.

Design/methodology/approach

The authors employ panel data regression and two-step system generalised method of moments (SYS-GMM) to test the above objective.

Findings

The empirical results clearly show that no positive relation is found between institutional investors and loss-making companies' performance.

Research limitations/implications

The findings of the study might have significant implications for firms to improve the firms' operational performance [return on assets (ROA)]. Also, the firm's financial performance [return on equity (ROE)] could be improved by increasing profitability which will reflect in the share prices of the firms whereby the performance can build the investors' confidence over the firm. Market performance (Tobin's Q) could be increased by providing more attractive offers and discounts to customers to capture the business opportunities available in the market.

Practical implications

The overall findings might have for reaching implications in the manufacturing sector with regard to allowing (disallowing) institutional investors.

Social implications

The results of the study may help both companies and institutional investors.

Originality/value

This is the maiden attempt to study whether loss-making companies could be positively (negatively) impacted by the arrival of sophisticated institutional investors [foreign institutional investors (FIIs) and domestic institutional investors (DIIs)]. Further, this study is largely different from previous studies in terms of using new variables which are related to firm characteristics and valuation multiples. Further, seeing if the institutional investors tend to enhance the firm performance is curious.

Details

Managerial Finance, vol. 49 no. 12
Type: Research Article
ISSN: 0307-4358

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Article
Publication date: 10 September 2018

Moinak Maiti and A. Balakrishnan

The purpose of this paper is to focus on one of the major emerging Asian economies – India – to examine the role of human capital in asset prices.

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Abstract

Purpose

The purpose of this paper is to focus on one of the major emerging Asian economies – India – to examine the role of human capital in asset prices.

Design/methodology/approach

The analysis uses various statistical techniques (e.g. multifactor regression model, 3D graphs, GRS test and residual graphs) to test the role of human capital in asset prices.

Findings

A six-factor model designed for capturing the size, value, profitability, investment and human capital patterns in average portfolio returns performs better than both Fama–French’s (1993) three- and Fama–French’s (2015) five-factor model. The main problem of six-factor model is its failure in capturing the average returns on “microcap with low-value stocks that are highly profitable invests aggressively for asset growth but invests much lesser for human growth” and “microcap with unprofitable stocks whose returns behave like those of low-value firms with conservative investment”. The study finds the investment factor (CMA) of Fama–French’s (2015) five-factor model as the redundant factor for describing the portfolio average returns in the study sample.

Research limitations/implications

The paper argues that human capital also plays a role in predicting returns. This has significant public policy content.

Originality/value

The present study is novel for several reasons: first, it includes six-factor model descriptions; second, no comprehensive asset pricing study is done with human capital in Asian emerging markets, especially in India. Perhaps, this is the first study to examine whether portfolio returns are affected by the human capital in the Indian context. Third, the study period and methodology used are completely different from the previous studies.

Details

Journal of Economic Studies, vol. 45 no. 4
Type: Research Article
ISSN: 0144-3585

Keywords

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Article
Publication date: 4 August 2021

Balakrishnan A.S. and Usha Ramanathan

The purpose of this paper is to examine the role of digital supply chain (DSC) technologies in automotive supply chain resilience (SCR) practices to improve the supply chain…

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Abstract

Purpose

The purpose of this paper is to examine the role of digital supply chain (DSC) technologies in automotive supply chain resilience (SCR) practices to improve the supply chain performance (SC-Perf.) objectives of companies operating in the automotive industry. This study also compares the results of the associated SC-Perf objectives before and after the COVID-19 pandemic outbreak lockdown situation.

Design/methodology/approach

The authors undertook in-depth empirical research using a questionnaire survey to explore the performance of automotive supply chains. The sample for this study consisted of practitioners from supply chain entities such as automotive original equipment manufacturers, Tier-1 component manufacturers and lead logistics providers in Asia-Pacific (AP) emerging markets. Research questions, framework and hypotheses were developed using the literature review.

Findings

The research outcome from analysis of the data the authors collected from an emerging market context, specifically the automotive sector, emphasizes the role of DSC technologies and encourages the firm’s SCR practices which, in turn, supports the SC-Perf objectives. The DSC technologies competency moderates the SCR and SC-Perf objectives relation, and the moderation effect is higher for post-COVID-19 pandemic outbreak lockdown situation than at prior state.

Research limitations/implications

The scope of the study is restricted to the automotive firms in the AP region. The data were collected from a representative sample of the population through a questionnaire survey. The small size of the sample incurs a certain level of subjectivity.

Practical implications

This research provides practical insights for practitioners and academicians on DSC technologies’ influence in SCR practices to improve the firm’s SC-Perf. This research shares the literature insights on use of DSC technologies across the sector to allow the automotive firm to reassess the existing operational practices.

Originality/value

The paper adds insights on introducing or implementing DSC technologies across AP automotive firms to increase the operations’ performance by improving SCR practices and sustainability.

Details

Supply Chain Management: An International Journal, vol. 26 no. 6
Type: Research Article
ISSN: 1359-8546

Keywords

Available. Content available
Article
Publication date: 3 April 2024

Usha Ramanathan, M. Mathirajan and A.S. Balakrishnan

The COVID-19 situation affected the whole landscape of retailing in India and around the world. However, some businesses have used the pandemic-related difficulties into…

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Abstract

Purpose

The COVID-19 situation affected the whole landscape of retailing in India and around the world. However, some businesses have used the pandemic-related difficulties into opportunities. E-tailing is one of the ways that helped people in India to continue shopping their essential products and choosing their luxury products without making any physical visits during the lockdown. This research understands the current situation through an observation study and suggests the e-tailing model suitable during the COVID-19 and beyond.

Design/methodology

We used secondary data to make the observational study. We also conducted two case studies and interviews with grocery shops and an automotive company.

Findings

This research suggests a simple collaborative e-tailing model combining all supply chain players to reduce people’s movement, timely delivery and enhanced service to meet customers demand during the lockdown period.

Originality/value

This paper has considered two real cases for discussion and also obtained information from public domain. The proposed model has been discussed with the case companies, and it hoped to support business planning for online services.

Details

Benchmarking: An International Journal, vol. 31 no. 3
Type: Research Article
ISSN: 1463-5771

Keywords

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Article
Publication date: 2 January 2024

Tim Gruchmann, Gernot M. Stadtfeld, Matthias Thürer and Dmitry Ivanov

Experiencing more frequent, system-wide disruptions, such as pandemics and geopolitical conflicts, supply chains can be largely destabilized by a lack of materials, services or…

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Abstract

Purpose

Experiencing more frequent, system-wide disruptions, such as pandemics and geopolitical conflicts, supply chains can be largely destabilized by a lack of materials, services or components. Supply chain resilience (SCRES) constitutes the network ability to recover after and survive during such unexpected events. To enhance the understanding of SCRES as a system-wide quality, this study tests a comprehensive SCRES model with data from multiple industries.

Design/methodology/approach

The study proposes a theoretical framework conceptualizing SCRES as system quality, extending the classical proactive/reactive taxonomy by multiple system states consisting of the supply system properties, behaviors and responses to disruptions. Underlying hypotheses were tested using an online survey. The sample consists of 219 responses from German industries. Maximum likelihood structural equation modeling (ML-SEM) and moderation analysis were used for analyzing the survey data. The study was particularly designed to elaborate on supply chain theory.

Findings

Two pathways of parallel SCRES building were identified: proactive preparedness via anticipation and reactive responsiveness via agility. Both system responses are primarily built simultaneously rather than successively. The present study further provides empirical evidence on the central role of visibility and velocity in achieving comprehensive SCRES, while flexibility only exerts short-term support after a disruption. The study additionally points to potential “spillover effects” such as the vital role of proactive SCRES in achieving reactive responsiveness.

Originality/value

The present study confirms and expands existing theories on SCRES. While stressing the multidimensionality of SCRES, it theorizes the (inter-)temporal evolution of a system and offers practical guidelines for SCRES building in various industrial contexts. It thus supports the transformation toward more resilient and viable supply chains, contributing to the increasing efforts of middle-range theory building to achieve an overarching theory. The study also points to potential future research avenues.

Details

International Journal of Physical Distribution & Logistics Management, vol. 54 no. 1
Type: Research Article
ISSN: 0960-0035

Keywords

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Book part
Publication date: 29 March 2016

Marc Wouters, Susana Morales, Sven Grollmuss and Michael Scheer

The paper provides an overview of research published in the innovation and operations management (IOM) literature on 15 methods for cost management in new product development, and…

Abstract

Purpose

The paper provides an overview of research published in the innovation and operations management (IOM) literature on 15 methods for cost management in new product development, and it provides a comparison to an earlier review of the management accounting (MA) literature (Wouters & Morales, 2014).

Methodology/approach

This structured literature search covers papers published in 23 journals in IOM in the period 1990–2014.

Findings

The search yielded a sample of 208 unique papers with 275 results (one paper could refer to multiple cost management methods). The top 3 methods are modular design, component commonality, and product platforms, with 115 results (42%) together. In the MA literature, these three methods accounted for 29%, but target costing was the most researched cost management method by far (26%). Simulation is the most frequently used research method in the IOM literature, whereas this was averagely used in the MA literature; qualitative studies were the most frequently used research method in the MA literature, whereas this was averagely used in the IOM literature. We found a lot of papers presenting practical approaches or decision models as a further development of a particular cost management method, which is a clear difference from the MA literature.

Research limitations/implications

This review focused on the same cost management methods, and future research could also consider other cost management methods which are likely to be more important in the IOM literature compared to the MA literature. Future research could also investigate innovative cost management practices in more detail through longitudinal case studies.

Originality/value

This review of research on methods for cost management published outside the MA literature provides an overview for MA researchers. It highlights key differences between both literatures in their research of the same cost management methods.

Available. Open Access. Open Access
Article
Publication date: 17 September 2024

Siu Loon Hoe

The purpose of this article is to discuss the “learning nation” concept and examine the characteristics and implications of using the “learning” premodifier in this…

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Abstract

Purpose

The purpose of this article is to discuss the “learning nation” concept and examine the characteristics and implications of using the “learning” premodifier in this nation-building program.

Design/methodology/approach

This article reviews how the “learning” aspect is inter-related to a series of national information and communication technology masterplans and includes a comparative analysis of the related premodifier “smart” as Singapore sets forth its ambition to become a “smart nation” as part of the digitalization megatrend. A print media indicator and Google Trends form part of the methodology to ascertain the rise of digital technology over a certain period. The former technique involves identifying relevant bibliographic databases and analyzing the volume of publications. The latter technique is a real time index of the volume of queries that users input into Google.

Findings

It is suggested that using the term “learning nation” previously and more recently “smart nation” is a consequence of the rise of the digitalization megatrend. The “smart-ness” involves learning about digital technologies, developing digital competencies and harnessing the benefits of these digital capabilities. From a public policy perspective, the article showcases how a city-state can transform itself through technology by riding on megatrends. Also, there is a need to be selective in developing specific areas for the application of digital technologies.

Originality/value

This article contributes to a better understanding on the frequent usage of the word “learning” as a premodifier and Singapore’s nation-building journey through human capital development and digitalization.

Details

Journal of Electronic Business & Digital Economics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2754-4214

Keywords

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