Corporate performance drivers in vertical downstream alliance portfolios: The Korean defense industry

2014 ◽  
Vol 20 (2) ◽  
pp. 148-164 ◽  
Author(s):  
Ho-Sung Kim ◽  
Sun-Young Choi

AbstractIn this study, we examine the impact of portfolio configuration on corporate performance in a technological vertical downstream alliance portfolio. First, we explore whether differences in characteristics such as innovativeness, reputation, and bargaining power between a focal firm and its partners affect corporate performance. Second, considering these differences between a focal firm and its partners, we analyze whether an alliance portfolio structure spanning structural holes or a densely embedded network is preferable. We examine 44 leading Korean defense firms over the period 1995–2010 using the two-step generalized method of moments. Our principal arguments emphasize that differences between a focal firm and its partners (in terms of innovativeness, reputation, and bargaining power) affect corporate performance differently. This concept contrasts that of previous studies, which argued that allying with dominant partners is generally better. The arguments also emphasize that the alliance portfolio structure should differ depending on the differences in terms of the three capabilities between a focal firm and its corporate partners.

2018 ◽  
pp. 1-17
Author(s):  
Ho-Sung Kim

AbstractIn the past, alliance portfolio configuration (APC) studies concentrated mostly on the direct alliances or partners of a focal firm. However, a focal firm is also influenced by indirect alliances or partners. This study endeavors to focus on this aspect of APC. It contributes to APC research by extending the scope to three degrees from a focal firm. To assess the effects of extended APCs, 186 3-year window snapshots were created of the extended APCs of 31 Korean bio-pharmaceutical firms. These snapshots range from 2007 to 2014. The effects of structure (density), size (number of alliances and partners), and relationships to firm innovation were measured using the two-step generalized method of moments estimates. The results show that structural sparseness and larger-sized extended APCs are more favorable conditions for innovation, and that structural sparseness and size have a positive relationship to innovation performance.


2021 ◽  
pp. 097491012110311
Author(s):  
Salma Zaiane ◽  
Fatma Ben Moussa

The purpose of the study is to identify bank specific, macroeconomic, and stability determinants of both conventional and Islamic bank performance. We also try to identify evidence on the impact of financial crisis and political instability during the Arab Spring (AS) period. The study covers a sample of 123 banks (34 Islamic banks and 89 conventional banks from 13 Middle East and North Africa [MENA] countries) over the period 2000–2013. We use different proxies of performance as dependent variables: return on asset (ROA), return on equity (ROE), net income margin (NIM), and estimate several regressions using the dynamic generalized method of moments. Our results reveal that bank size, asset quality, specialization, and diversification are the major bank specific factors affecting performance of Islamic and conventional banks. Besides, macroeconomic indicators (GDP and inflation) and regulatory quality influence both types of banks differently. Finally, both the financial crisis and political instability negatively affect bank performance.


2021 ◽  
Vol 16 (4) ◽  
pp. 638-669
Author(s):  
Miriam Alzate ◽  
Marta Arce-Urriza ◽  
Javier Cebollada

When studying the impact of online reviews on product sales, previous scholars have usually assumed that every review for a product has the same probability of being viewed by consumers. However, decision-making and information processing theories underline that the accessibility of information plays a role in consumer decision-making. We incorporate the notion of review visibility to study the relationship between online reviews and product sales, which is proxied by sales rank information, studying three different cases: (1) when every online review is assumed to have the same probability of being viewed; (2) when we assume that consumers sort online reviews by the most helpful mechanism; and (3) when we assume that consumers sort online reviews by the most recent mechanism. Review non-textual and textual variables are analyzed. The empirical analysis is conducted using a panel of 119 cosmetic products over a period of nine weeks. Using the system generalized method of moments (system GMM) method for dynamic models of panel data, our findings reveal that review variables influence product sales, but the magnitude, and even the direction of the effect, vary amongst visibility cases. Overall, the characteristics of the most helpful reviews have a higher impact on sales.


2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Omar Ghazy Aziz

AbstractThis study empirically investigates the impact of bank profitability, as a complementary measure of financial development, on growth in the Arab countries between 1985 and 2016. Using a generalized method of moments (GMM) estimation to test the impact of the bank profitability on growth, this study utilises two variables in the econometric model which are return on assets and return on equity. This study reveals that both variables of bank profitability are positive and significant. This confirms that the bank profitability, beside other financial development variables, has positive impact on the growth. This study points out some important implications based on this result.


Author(s):  
Wenyi Yang ◽  
Xueli Wang ◽  
Keke Zhang ◽  
Zikan Ke

In the context of the rapid development of urbanization and increasing population mobility in China, the outbreak of COVID-19 has had a significant impact on China’s economy and society. This article uses China UnionPay transaction data and takes Hubei, the worst-hit region by COVID-19 in China, as an example, to conduct empirical analysis using the generalized method of moments (GMM) of the impact of current urbanization patterns on the spread of the epidemic and economic recovery from the perspectives of time, industry, and regional differences. The study found that during the different stages of COVID-19, including discovery, outbreak, and subsidence, the overall impact of urbanization on the economy in Hubei Province was first positive, then became negative, and finally gradually increased. This process had significant industrial and urban heterogeneity, which was mainly manifested in losses in tourism and catering industries that were significantly greater than those in the audio-visual entertainment and digital office industries. Similarly, the recovery speed of large cities was lower than that of small and medium-sized cities. The main reason for these differences is that the one-sided problem of urbanization is more obvious in areas with higher urbanization rates. COVID-19 has drawn attention to the development of urbanization in the future, that is, the development path of one-sided economic resource agglomeration and scale expansion should be abandoned, with greater attention paid to the improvement of service functions and the development of amenities. This transformation is necessary to enhance urban economic resilience and reduce public health risks.


2020 ◽  
Vol 20 (5) ◽  
pp. 939-964
Author(s):  
Mohammad A.A Zaid ◽  
Man Wang ◽  
Sara T.F. Abuhijleh ◽  
Ayman Issa ◽  
Mohammed W.A. Saleh ◽  
...  

Purpose Motivated by the agency theory, this study aims to empirically examine the nexus between board attributes and a firm’s financing decisions of non-financial listed firms in Palestine and how the previous relationship is moderated and shaped by the level of gender diversity. Design/methodology/approach Multiple regression analysis on a panel data was used. Further, we applied three different approaches of static panel data “pooled OLS, fixed effect and random effect.” Fixed-effects estimator was selected as the optimal and most appropriate model. In addition, to control for the potential endogeneity problem and to profoundly analyze the study data, the authors perform the one-step system generalized method of moments (GMM) estimator. Dynamic panel GMM specification was superior in generating robust findings. Findings The findings clearly unveil that all explanatory variables in the study model have a significant influence on the firm’s financing decisions. Moreover, the results report that the impact of board size and board independence are more positive under conditions of a high level of gender diversity, whereas the influence of CEO duality on the firm’s leverage level turned from negative to positive. In a nutshell, gender diversity moderates the effect of board structure on a firm’s financing decisions. Research limitations/implications This study was restricted to one institutional context (Palestine); therefore, the results reflect the attributes of the Palestinian business environment. In this vein, it is possible to generate different findings in other countries, particularly in developed markets. Practical implications The findings of this study can draw responsible parties and policymakers’ attention in developing countries to introduce and contextualize new mechanisms that can lead to better monitoring process and help firms in attracting better resources and establishing an optimal capital structure. For instance, entities should mandate a minimum quota for the proportion of women incorporation in boardrooms. Originality/value This study provides empirical evidence on the moderating role of gender diversity on the effect of board structure on firm’s financing decisions, something that was predominantly neglected by the earlier studies and has not yet examined by ancestors. Thereby, to protrude nuanced understanding of this novel and unprecedented idea, this study thoroughly bridges this research gap and contributes practically and theoretically to the existing corporate governance–capital structure literature.


2021 ◽  
Vol 13 (5) ◽  
pp. 2730
Author(s):  
Yuan Zhao ◽  
Tian Zhang ◽  
Ting Wu ◽  
Shujing Xu ◽  
Shuwang Yang

Technological progress has always been regarded as an important factor affecting haze pollution. A large number of academic studies have focused on the effect of technological progress on haze pollution, but there are few discussions on the effects of technological progress from different sources. In view of this, a dynamic panel model is constructed, and a systematic generalized method of moments (GMM) method is applied to empirically test the overall impact of technological progress from different sources on haze pollution and the regional heterogeneity of the impact. The results show that the overall and regional impact of technological progress from different sources on haze pollution is entirely different. Among them, for the whole country, independent innovation has a significant inhibitory effect on haze pollution, and technology introduction has aggravated haze pollution to a certain extent. At the regional level, all types of technological progress in the east can effectively reduce haze, the central region having haze reduction results consistent with the overall national level, and in the west, independent innovation and direct introduction can effectively reduce haze, while reverse technology spillover is ineffective. Therefore, policy recommendations such as improving the ability of independent innovation, improving the quality of technology introduction, and coordinating regional technology against haze are put forward.


2018 ◽  
Vol 19 (5) ◽  
pp. 935-964 ◽  
Author(s):  
Neha Smriti ◽  
Niladri Das

Purpose The purpose of this paper is to examine the effect of intellectual capital (IC) on financial performance (FP) for Indian companies listed on the Centre for Monitoring Indian Economy Overall Share Price Index (COSPI). Design/methodology/approach Hypotheses were developed according to theories and literature review. Secondary data were collected from Indian companies listed on the COSPI between 2001 and 2016, and the value-added intellectual coefficient (VAIC) of Pulic (2000) was used to measure IC and its components. A dynamic system generalized method of moments (SGMM) estimator was employed to identify the variables that significantly contribute to firm performance. Findings Indian listed firms appear to be performing well and efficiently utilizing their IC. Overall, human capital had a major impact on firm productivity during the study period. Furthermore, the empirical analysis showed that structural capital efficiency and capital employed efficiency were equally important contributors to firm’s sales growth and market value. The growing importance of the contribution of IC to value creation was consistently reflected in the FP of these Indian companies. Practical implications This study has robust theoretical grounds and employs a validated methodology. The present study extends knowledge of IC among academicians and managers and highlights its contribution to value creation. The findings may help stakeholders and policymakers in developing countries properly reallocate intellectual resources. Originality/value This study is the first study to evaluate IC and its relationship with traditional measures of firm performance among Indian listed firms using dynamic SGMM and VAIC models.


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