Search results
1 – 10 of 48Sarah Lee, Vafa Saboorideilami, Xiaotian Zhang and Yung-Jae Lee
The case study draws on structured interviews with Rob Chase, Founder and CEO of NewGen Surgical, as well as secondary data sources to analyze the effectiveness of these solutions…
Abstract
Research methodology
The case study draws on structured interviews with Rob Chase, Founder and CEO of NewGen Surgical, as well as secondary data sources to analyze the effectiveness of these solutions in mitigating the risks and enhancing the company’s competitive advantage.
Case overview/synopsis
This case study examines how NewGen Surgical, a small- to medium-sized medical equipment manufacturer based in the USA, navigates a supply chain crisis caused by post-pandemic (COVID-19) supply and demand distress, trade restrictions, and the US–China trade war in 2022. It outlines the journey of CEO and Founder, Robert Chase, as he started, grew and is maintaining the company and its various challenges. The case study reviews the risks and vulnerabilities of the company, which heavily relies on Chinese suppliers for most of its operations. To address the supply chain challenges, the case study explores alternative solutions such as insourcing, reshoring, diversifying the supplier base, changing safety stock and implementing new technologies. The case can be designed to teach business courses such as global business, supply chain and entrepreneurship.
Complexity academic level
This case study is intended for undergraduate and graduate students in courses such as global business, supply chain and entrepreneurship. In addition, this case study may be incorporated with modules on learning organizations, knowledge management and entrepreneurship to aid students in comprehending the principles of global sourcing, offshoring and supply chain management.
Details
Keywords
The purpose of this paper is to advance our understanding of international crisis mediation by introducing and examining the nested insider-partial mediator (NIPM) concept, a…
Abstract
Purpose
The purpose of this paper is to advance our understanding of international crisis mediation by introducing and examining the nested insider-partial mediator (NIPM) concept, a nuanced perspective on IPM behavior. This study challenges the traditional view of effective mediators as external, unbiased entities by delving into the behavior and contribution of mediators who are deeply embedded in the conflict environment, such as South Korea’s unique position in navigating the US–DPRK crisis in 2017–2018. By analyzing South Korea’s dual role as mediator and negotiator and its employment of both nondirective and directive mediation strategies, the paper demonstrates the potential effectiveness of NIPMs in managing complex biases and contributing to de-escalation in intense crisis scenarios.
Design/methodology/approach
This paper uses a focused single-case study approach to analyze South Korea’s role as an NIPM. Using a process-tracing methodology, it examines how contextual factors such as relationships, interests and inherent biases influenced South Korea’s mediation strategies in this complex geopolitical scenario. Empirical evidence was retrieved from public sources, including official statements and press interviews, providing an empirical foundation for understanding NIPM behavior. This approach facilitates a detailed study of South Korea’s unique mediation role within the intricate dynamics of the Korean Peninsula conflict.
Findings
The study’s findings illustrate the pivotal role NIPMs can play in complex international conflicts, underlining the significant potential of NIPMs in crisis prevention. The findings highlight South Korea’s adept navigation through intricate geopolitical dynamics, leveraging its unique insider position and established relationships with both the USA and North Korea. This behavior was instrumental in mitigating a potentially explosive situation, steering the crisis toward negotiation and de-escalation. The research underscores the effectiveness of the NIPM framework in understanding the nuanced behavior of mediators who are deeply integrated into multi-level conflicts, influenced by their connections, interests and inherent biases.
Originality/value
This research not only broadens the theoretical framework of insider-partial mediation by introducing the concept of NIPM, but also has practical implications for policymakers and practitioners in leveraging regional mediation strategies for international crisis mitigation. The study underscores the importance of mediators’ deep-rooted connections, biases and vested interests in influencing their mediation tactics, thus offering a comprehensive understanding of the multifaceted nature of international mediation in complex geopolitical conflicts.
Details
Keywords
Ahreum Lim, Daeun Jung and Eunsun Lee
As emerging scholars of color with transnational backgrounds, we collectively recount our socialization experiences in US higher education institutes. We explore moments of…
Abstract
Purpose
As emerging scholars of color with transnational backgrounds, we collectively recount our socialization experiences in US higher education institutes. We explore moments of betweenness as catalysts for envisioning a more inclusive academia that operates beyond the tokenism of diversity.
Design/methodology/approach
Employing betweener autoethnography (Diversi and Moreira, 2018), we inquire into the sense of impasse encountered by South Korean female emerging scholars in the field of education in becoming an outsider within the academic system.
Findings
Chronicling our shifts in perspectives of our positionality, we interweave inquiries motivating us to challenge normative pressures and map our betweener experiences onto the Wiedman and DeAngelo’s (2020) socialization model. Through this process, we wedge open in-between spaces in the socialization process that accommodate the nuanced positionality of transnational scholars.
Originality/value
Integrating postcolonial critiques on the Western-centric meritocratic academia, this piece sheds light on the complexity and fluidity of emerging transnational scholars’ socialization processes. The thick, nuanced description deepens the understanding of the complexity of their identity negotiation within the dominant logics of academia. Our inquiries interwoven through betweener autoethnography serve as guidance for mentoring international graduate students and transnational scholars.
Details
Keywords
Byoungho Ellie Jin, Daeun Chloe Shin, Heesoon Yang, So Won Jeong and Jae-Eun Chung
Little is known about Indonesian consumers' acceptance of global brands despite their huge retail market potential. Drawing from Festinger’s (1957) cognitive dissonance theory and…
Abstract
Purpose
Little is known about Indonesian consumers' acceptance of global brands despite their huge retail market potential. Drawing from Festinger’s (1957) cognitive dissonance theory and Schwartz’s (1992) value system, this study aims to examine the effect of Indonesian consumers' religiosity, cosmopolitanism and ethnocentrism on their preference for and purchase intention towards global brands.
Design/methodology/approach
Data were collected from 316 female consumers aged 20 years or older living in Indonesia via a professional online survey firm. The firm sent prospective participants an email invitation with a survey URL. Confirmatory factor analysis and structural equation modelling were conducted using AMOS 24.0 to test hypotheses.
Findings
The analyses revealed that Indonesian consumers' religiosity increased their ethnocentrism but not cosmopolitanism. Further, ethnocentrism decreased global brand preference without affecting purchase intention towards Korean cosmetics, whereas cosmopolitanism increased both global brand preference and purchase intention towards Korean cosmetics.
Originality/value
The findings show that cosmopolitanism has a stronger influence on global brand preference than ethnocentrism, suggesting ethnocentrism’s diminishing relevance in predicting purchase intention for foreign products. Additionally, religiosity’s effect on ethnocentrism was confirmed.
Details
Keywords
Anubhav A. Mishra and Megha Verma
This research paper explores customer experience (CX) among low-literate customers in organized retail environments. It integrates theories from customer literacy, CX and…
Abstract
Purpose
This research paper explores customer experience (CX) among low-literate customers in organized retail environments. It integrates theories from customer literacy, CX and patronage literature to understand CX comprehensively.
Design/methodology/approach
The study gathered data from 470 respondents using mall intercept and snowball sampling. Data analysis employed partial least squares (PLS) modeling.
Findings
The results indicate that all the dimensions do not have the same effect on CX. Answering calls for future research, the results establish CX's nomological validity by showing its positive influence on retail reputation, retail quality and satisfaction. However, it does not directly affect patronage but has an indirect influence through retail quality and satisfaction. Also, the authors conclude that retail quality and satisfaction are consequences of CX and not previously conceptualized proxies for it.
Research limitations/implications
Conducting primary research with low-literate customers (LLCs) has its own set of limitations that give rise to further research directions. While acknowledging limitations, the study suggests avenues for future research by surveying LLCs with an objective questionnaire, contributing to limited empirical research in this segment.
Practical implications
The findings highlight the multidimensional nature of CX. In summary, this research paper provides insights into CX dimensions and outcomes for LLCs in organized retail. It contributes to marketing literature, assisting retailers in improving CX and driving patronage across customer segments.
Originality/value
The paper contributes to marketing literature by studying LLCs, testing a comprehensive CX model, confirming antecedents in retail patronage and exploring reciprocal relationships in retailing.
Details
Keywords
Petra Růčková and Tomáš Heryán
As Czech export is widely considered the key to the economic development of Czechia, this chapter explores the relationship between microeconomic profitability among companies in…
Abstract
As Czech export is widely considered the key to the economic development of Czechia, this chapter explores the relationship between microeconomic profitability among companies in selected TOP10 export industries and the macroeconomic development of the export itself. An investigation was carried out to compare the differences caused by the COVID-19 pandemic. In addition, the comparison is developed according to the size and concentration of ownership among exporting companies. Annual data are obtained from the Bureau van Dijk Orbis database to analyse profitability among 4,283 companies in 10 NACE industries from 2012 to 2021. We have obtained encouraging results, demonstrating that not only those less profitable companies affected export development. However, in general, our results emphasise the importance of those less profitable medium-sized companies for Czech export, within the manufacture of machinery and equipment, and the manufacture of motor vehicles in particular.
Details
Keywords
Zaifeng Wang, Tiancai Xing and Xiao Wang
We aim to clarify the effect of economic uncertainty on Chinese stock market fluctuations. We extend the understanding of the asymmetric connectedness between economic uncertainty…
Abstract
Purpose
We aim to clarify the effect of economic uncertainty on Chinese stock market fluctuations. We extend the understanding of the asymmetric connectedness between economic uncertainty and stock market risk and provide different characteristics of spillovers from economic uncertainty to both upside and downside risk. Furthermore, we aim to provide the different impact patterns of stock market volatility following several exogenous shocks.
Design/methodology/approach
We construct a Chinese economic uncertainty index using a Factor-Augmented Variable Auto-Regressive Stochastic Volatility (FAVAR-SV) model for high-dimensional data. We then examine the asymmetric impact of realized volatility and economic uncertainty on the long-term volatility components of the stock market through the asymmetric Generalized Autoregressive Conditional Heteroskedasticity-Mixed Data Sampling (GARCH-MIDAS) model.
Findings
Negative news, including negative return-related volatility and higher economic uncertainty, has a greater impact on the long-term volatility components than positive news. During the financial crisis of 2008, economic uncertainty and realized volatility had a significant impact on long-term volatility components but did not constitute long-term volatility components during the 2015 A-share stock market crash and the 2020 COVID-19 pandemic. The two-factor asymmetric GARCH-MIDAS model outperformed the other two models in terms of explanatory power, fitting ability and out-of-sample forecasting ability for the long-term volatility component.
Research limitations/implications
Many GARCH series models can also combine the GARCH series model with the MIDAS method, including but not limited to Exponential GARCH (EGARCH) and Threshold GARCH (TGARCH). These diverse models may exhibit distinct reactions to economic uncertainty. Consequently, further research should be undertaken to juxtapose alternative models for assessing the stock market response.
Practical implications
Our conclusions have important implications for stakeholders, including policymakers, market regulators and investors, to promote market stability. Understanding the asymmetric shock arising from economic uncertainty on volatility enables market participants to assess the potential repercussions of negative news, engage in timely and effective volatility prediction, implement risk management strategies and offer a reference for financial regulators to preemptively address and mitigate systemic financial risks.
Social implications
First, in the face of domestic and international uncertainties and challenges, policymakers must increase communication with the market and improve policy transparency to effectively guide market expectations. Second, stock market authorities should improve the basic regulatory system of the capital market and optimize investor structure. Third, investors should gradually shift to long-term value investment concepts and jointly promote market stability.
Originality/value
This study offers a novel perspective on incorporating a Chinese economic uncertainty index constructed by a high-dimensional FAVAR-SV model into the asymmetric GARCH-MIDAS model.
Details
Keywords
Billy Prananta and Constantinos Alexiou
The authors explore the relationship between the exchange rate, bond yield and the stock market as well as the effect of capital market dynamics on the exchange rate before and…
Abstract
Purpose
The authors explore the relationship between the exchange rate, bond yield and the stock market as well as the effect of capital market dynamics on the exchange rate before and during the COVID-19 pandemic.
Design/methodology/approach
The authors employ a non-linear autoregressive distributed lag (NARDL) methodology using daily data of the Indonesian economy over the period 2012–2021.
Findings
Whilst, over the full sample period, the authors find no cointegration between the exchange rate, the 10-year bond yield and stock market, for the COVID-19 period, evidence of cointegration is present. Furthermore, the results suggest that asymmetric effects are evident both in the short as well as the long run.
Originality/value
To the best of the authors’ knowledge, this is the first time that the relationship between the exchange rate, bond yield and the stock market as well as the effect of capital market dynamics on the exchange rate before and during the COVID-19 pandemic has been explored in the case of the Indonesian economy.
Details
Keywords
Nhung Thi Nguyen, An Tuan Nguyen and Dinh Trung Nguyen
This paper aims to examine the effects of investor sentiment on the development of the real estate corporate bond market in Vietnam.
Abstract
Purpose
This paper aims to examine the effects of investor sentiment on the development of the real estate corporate bond market in Vietnam.
Design/methodology/approach
The research uses an autoregressive distributed lag (ARDL) model with quarterly data. Additionally, the study employs Google Trends search data (GVSI) related to topics such as “Real Estate” and “Corporate Bond” to construct a sentiment index.
Findings
The empirical outcomes reveal that real estate market sentiment improves the growth of the real estate corporate bond market, while stock market sentiment reduces it. Also, there is evidence of a long-run negative effect of corporate bond market sentiment on the total value of real estate bond issuance. Further empirical research evidences the short-term effect of sentiment and economic factors on corporate bond development in the real estate industry.
Research limitations/implications
Due to difficulties in collecting data, this paper has the limited sample of 54 valid quarterly observations. Moreover, the sentiment index based on Google search volume data only reflects the interest level of investors, not their attitudes.
Practical implications
These results yield important implications for policymakers in respect of strengthening the corporate bond market platform and maintaining stability in macroeconomic and monetary policies in order to promote efficient and sustainable market development.
Social implications
The study offers some suggestions for regulators and governments to improve the real estate corporate bond market.
Originality/value
This is the first quantitative study to examine the effect of sentiment factors on real estate corporate bond development in Vietnam.
Details
Keywords
Richa Patel, Dipti Ranjan Mohapatra and Sunil Kumar Yadav
This study presents time-series data estimations on the association between the indicators of institutional environment and inward foreign direct investment (FDI) in India…
Abstract
Purpose
This study presents time-series data estimations on the association between the indicators of institutional environment and inward foreign direct investment (FDI) in India utilizing a comprehensive data set from 1996 to 2021.
Design/methodology/approach
The study employs the nonlinear autoregressive distributive lag (NARDL) model. The asymmetric ARDL framework evaluates the existence of cointegration among the factors under study and highlights the underlying nonlinear effects that may exist in the long and short run.
Findings
The significance of coefficients of negative shock to “control of corruption” and positive shock to “rule of law” is greater when compared to “government effectiveness, regulatory quality, political stability/absence of violence.” The empirical outcomes suggest the positive influence of rule of law, political stability and government effectiveness on FDI inflows. A high “regulatory quality” is observed to deter foreign investment. The “voice and accountability” index and negative shocks to the “rule of law” are exhibited to have no substantial impact on the amount of FDI that the country receives.
Originality/value
This study empirically examines the institutional determinants of FDI in India for a comprehensive period of 1996–2021. The study's findings imply that quality of the institutional environment has a significant bearing on India's inward FDI.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0375
Details