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The authors selected global automobile manufacturing firms whose sales ranked within 100 in the five years from 2014 to 2018 in the Factiva database to examine how the characteristics of a firm's whole network and ego-network in a transnational coopetition network influence network performance.

The authors analyzed the public news of the sample firms about the coopetition by structural content analysis to build the coopetition networks and access to data on the competitive actions of firms. Then, to measure the variables associated with the coopetition network, such as the structural hole, centrality and ego-network stability, the authors use UCINET 6 that is a widely used piece of software for social network analysis to establishing five undirected binary adjacency matrices.

The authors find that a firm's competitive aggressiveness mediates the relationship between a firm's whole network position and network performance that emphasizes the need for integrating competitive dynamics research and coopetition research and shows how valuable insights can be gained through such integration. And the interaction of structural hole and centrality impacts competitive aggressiveness and network performance, and the interaction is different under high and low ego-network stability. The integration of whole network and ego-network literature studies provides new insights into firm network literature.

In the process of cooperation, firms should consider whether they can occupy the structural hole and center as important indicators for partner selection. Too stable relationship will prevent firms from obtaining new resources. Firms should weigh the period of cooperation according to specific situation.

These results indicate that ego-network stability, as an important complementary characteristic of coopetition network, has a significant synergistic effect with structural holes and centrality on competitive aggressiveness and network performance. And these findings expand the current literature on the relationship between characteristics of network, competitive aggressiveness and network performance.

This paper aims to examine how the firm’s global coopetition network position impacts market share and to explore the multiple moderating effects of trade network strength and structures on the relationship between firm global coopetition network position and market share.

This paper selects global automobile manufacturing firms as samples whose classification is “Automobile” in the Factiva database from 2014 to 2018 and develops the measurement for global coopetition network and trade network by using Ucinet6. Finally, Stata was used for data analysis.

This paper finds that structural holes and centrality are beneficial to improve global market share. And the trade network strength and structures have positive multiple moderating effects on the relationship between the firm global coopetition network position and market share.

This paper explores industrial international competitiveness according to the intricate trade relations among countries and the impact of industrial international competitiveness on the relationship between global coopetition network position of brand firms and market share. The results of this paper expand the current literature on the relationship between characteristics of coopetition network and trade network.

Coopetition (simultaneous cooperation and competition of actors) is still a relatively new concept in business, management, and tourism. However, several coopetition studies have focused on tourism and tourism destinations. Also, compilation literature reviews of tourism and tourism destinations have been published (Rusko, 2018). This chapter focuses on underlying coopetition networks of tourism and specifically of tourism destinations. Because of the typical features of tourism destinations, multifaceted connections in competition and cooperation – and coopetition – are present in everyday business and activities among actors of the destination. These coopetitive relationships cover several levels, they are present in micro, meso, macro, and meta level interplay of tourism destination. Furthermore, the analysis shows that several studies about coopetitive networks in tourism destinations do not use terms “macro” or “meta” though these seem to be the main levels of the studies. This only reveals the fertile dimensions of coopetitive networks in tourism. These various relationships form coopetitive networks that represent several dimensions and levels of actors, competition, cooperation, and coopetition. This chapter introduces these multifaceted perspectives of coopetition networks, which have been described in the contemporary literature about tourism and tourism destination.

The purpose of this paper is to analyze the efficiency performance of the Gulf Cooperation Countries (GCC) banking sector. The primary focus is to assess whether market power, risk taking activities, and regulations have significant effects on GCC banks’ efficiency performance.

The estimation and inference has been implemented using a double bootstrap procedure that simultaneously corrects for bias and validates inference on the influence of covariates. In the first stage, efficiency scores are estimated with data envelopment analysis (DEA). In the second stage, variation in the resulting efficiency scores is explained using a truncated regression model with inference based on a semi-parametric bootstrap routine.

The authors found compelling evidence that efficiency is not independent of the market structure, the bank's risk taking activities, and the regulatory environment. In particular, the Lerner Index provides evidence that market power decreases efficiency. The capital adequacy, the supervisory power and the market discipline were all found to improve efficiency. Additionally, when the risk is measured by the Z-Score or even by the ratio of non-performing loans to total loans, it adversely affects efficiency.

The results of the current study have important implications for regulators and supervisors. Promoting banks’ competitive environment in the GCC countries through reducing the information barriers to entry, encouraging bank privatization, and lowering the activities restrictions can potentially improve operational efficiency of banks. Also enhancing banks’ diversification activities and risk management techniques may have the advantage of increasing operational efficiency. Furthermore, improvements in the regulatory conditions that enhance banking supervision and monitoring would also improve efficiency.

The main contributions of the paper are threefold: first, to the knowledge, this study is the first to employ by far the most comprehensive data set of GCC banks investigated to date. Second, the analysis focusses on the influence of a wide set of factors, most of them was not covered before in related economic literature on bank efficiency of the GCC countries. Third, the methodological innovation involves applying a double bootstrap procedure proposed by Simar and Wilson (2007).

The primary purpose is to investigate the relationship between narcissism and managers' overconfidence in listed companies' risk-taking.

In this study, two criteria of signature and reward are used to measure manager's narcissism; manager's overconfidence, using multiple regression models and finally to measure companies' risk-taking by using companies' monthly returns. Multiple regression is employed to test the model using a sample of 890 firm-year participation on the Tehran Stock Exchange from 2012 to 2017 with panel data and model with fixed effects.

The findings indicate that the CEO's narcissism and the board of directors positively and significantly affect corporate risk-taking. Also, managers' overconfidence has a positive and significant relationship with corporate risk-taking.

The results of this study identified other factors affecting companies' risk-taking. This study also contributed to the development of the literature on narcissism, overconfidence and corporate risk-taking.

The purpose of this paper is to machine the pressure surface of the turbine blade made of A286 iron-based superalloy by using four directions of raster strategy, including horizontal upward, horizontal downward, vertical upward and vertical downward, to achieve appropriate surface roughness and to investigate the tool wear in each strategy.

In this study, all cutting tests were performed by DAHLIH-MCV 1020 BA vertical 3-axis machining center with ball nose end mill. After milling by each strategy, according to the surface slope, the surface was divided into 27 meshes, and roughness of surface was studied and compared. Roughness measuring after machining was implemented by using portable Mahr ps1 roughness tester, and surface texture was photographed by CCD 100× optical zoom camera. Also, to measure tool flank wear in each strategy as an indication of tool life, the surface of workpiece was divided into four equal areas. The wear of the inserts was measured by ARCS vertical non-contact measuring system at the end of each area.

The results indicate that cutting directions and toolpath strategies have significant influence on tool wear and surface roughness in machining processes and that they can be taken into consideration individually as determinative parameters. In this case, the most uniform surface texture and the lowest surface roughness are obtained by using horizontal downward direction; in addition, abrasion is a dominant tool wear mechanism in all experiments, and tool wear in the horizontal downward is lower than other strategies.

Machining of turbine blades or other airfoil-shaped workpieces is quite common in manufacturing aerospace and aircraft products. The results of this research contribute to increasing quality of machined surface and tool life in machining of turbine blade.

This work proves the significance of milling strategies in machining of the turbine blade made of A286 superalloy and, consequently, exhibits the proper strategy in terms of surface roughness and tool life. Also, this work explains and elaborates the behavior of A286 superalloy in machining processes, which has not been studied much in recent research works.

The purpose of this paper is to investigate service quality of e-commerce Websites in online platform and their contribution on e-business promotion.

The online survey was performed on a survey portal provided by Nepal Telecom in Nepal.

The findings of this study suggest that information quality and online service quality were the key determinants for user satisfaction and sustainability of e-commerce technology.

Research opportunities of web services and e-commerce area are fruitful and important for both academics and practitioners.

The findings on online service quality of e-commerce technology will be useful for current management practice such as making business policies and strategies and sharing information to managers and organization leaders. This study can be used for e-commerce Website operators wishing to enhance the competitiveness of their Websites in the highly competitive online market.

E-commerce is considered an excellent alternative for individuals and companies to reach new customers. Service quality delivery through Internet is an essential strategy to success, more important than price and web presence. The e-commerce Website has been identified as having a significant impact on business activities in solving the geographical problem. A number of performance problems have been observed for e-commerce Websites, and much work has gone into characterizing the performance of web-servers and Internet applications.

When firms are dealing with negative earnings and/or economic downturns, operational restructuring is often initiated as a rescue tool. Some firms recover and prevail, while the others fail to survive and are subsequently delisted from stock exchange. The purpose of this paper is to identify factors that are significantly associated with the delisting risk of restructuring firms.

The authors draw on a sample of firms with negative earnings that undertook restructuring during the 2001 economic recession. Logistic regression estimation is used to examine the delisting risk of these firms following the restructuring.

The paper finds that delisting risk increases when firms undertake repetitive restructurings, massive workforce reduction, and large‐scale asset downsizing. Firms with high levels of debt and failure to cut costs and/or narrowing its focus on core competencies are also more likely to delist.

By analyzing and synthesizing the information from empirical data and business experience, this paper provides a guide for managers to effectively plan and implement a restructuring program to improve performance amid an economic downturn.

This is the first study to examine the survivability or delisting risk of a poorly performing firm undergoing restructuring amid an economic recession.

Innovativeness is crucial for industrial cluster firms to gain sustained competitive advantage. This study aims to investigate the effects of inter-firm coopetition on firm innovativeness within a cluster and examines the moderating role of institutional support.

This research adopts an empirical survey method using multi-source data from 181 industrial cluster firms. Regression is used to test the hypotheses of this study.

The results show that cooperation and constructive conflict promote firm innovativeness, while destructive conflict is detrimental to firm innovativeness. Moreover, the study also finds that cooperation interacts with both types of conflict to affect firm innovativeness, where cooperation and constructive conflict interact negatively on firm innovativeness, while cooperation and destructive conflict interact positively on firm innovativeness. In addition, institutional support weakens the effects of cooperation and destructive conflict on innovativeness, respectively, but has no significant moderating effect on the relationship between constructive conflict and innovativeness.

These findings enrich the current research on coopetition. The interaction effects of cooperation and both types of conflict on innovativeness deepen the concept of coopetition and responds to the call to further explore the interaction effects within coopetition. The moderating role of institutional support fills a gap in the empirical research on the role of institutional factors affecting coopetition on innovation and also provides valuable suggestions for firm managers and governments in industrial clusters.

The purpose of this paper is to examine and compare the market power and the efficiency-stability of Islamic and conventional banks in the MENA zone and South East Asia during the 2005-2012 period.

The author applied an empirical approach in two steps. First, the author estimates the Lerner indicator, which is a measure of competition. Then, this measure is regressed and other explanatory variables on the banking “stability-efficiency” are derived simultaneously from the estimation of a stability stochastic frontier.

The author concludes that increased competition in the Islamic banking sector promotes the overall banking stability. Besides, whether there is a low or high competitiveness, the size of an Islamic bank is positively related to financial stability. However, large conventional banks operating in market with limited competitiveness become more involved in the risk behavior. The author concludes that capitalization has a positive effect on stability only in case of low competitiveness.

The originality of this research lies in the application of the stochastic frontier approach (SFA) on the Z-score indicator. This methodology enables to take into account the differences between the current and the optimum stability that each bank can achieve, thus creating a new measure of financial stability called “efficiency-stability”.