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This paper aims to explore the ideas that social legitimacy (acceptance by the public within a country) serves as a hedge against political risk and that the perceived social value of Multinational Enterprises (MNEs’) products or services improves firms’ social legitimacy and so resilience to political shock.

Drawing from a unique data concerning global construction activity and taking advantage of the Arab Spring as an exogenous, political shock, this paper teases out the relative effects of pre-shock experience and product/service emphasis.

The authors find that construction firms that worked on a higher proportion of socially beneficial projects – such as water infrastructure, transportation and telecommunications – recovered more quickly from political shock than did those that worked on projects primarily for manufacturing interests or the oil industry. The authors also find that deep experience in a country had no bearing on a firm’s ability to recover from political shock.

The findings suggest that market behaviors that enhance social legitimacy also enhance MNEs’ ability to survive in volatile political settings. These insights add to the political risk and nonmarket strategy literatures the idea that market strategies that are attentive to nonmarket strategic goals are an important addition to the toolkit for managing political risk. More specifically, when it comes to surviving political shock, pre-shock emphasis on socially beneficial products seems to create a social legitimacy buffer that enhances resilience more than do deep country experience and associated social and political ties with the political elite.

The purpose of this paper is to apply social network analysis (SNA) to study faculty research productivity, to identify key leaders, to study publication keywords and research areas and to visualize international collaboration patterns and analyze collaboration research fields from all Management Information System (MIS) departments in Taiwan from 1982 to 2015.

The authors first retrieved results encompassing about 1,766 MIS professors and their publication records between 1982 and 2015 from the Ministry of Science and Technology of Taiwan (MOST) website. Next, the authors merged these publication records with the records obtained from the Web of Science, Google Scholar, IEEE Xplore, ScienceDirect, Airiti Library and Springer Link databases. The authors further applied six network centrality equations, leadership index, exponential weighted moving average (EWMA), contribution value and k-means clustering algorithms to analyze the collaboration patterns, research productivity and publication patterns. Finally, the authors applied D3.js to visualize the faculty members' international collaborations from all MIS departments in Taiwan.

The authors have first identified important scholars or leaders in the network. The authors also see that most MIS scholars in Taiwan tend to publish their papers in the journals such as Decision Support Systems and Information and Management. The authors have further figured out the significant scholars who have actively collaborated with academics in other countries. Furthermore, the authors have recognized the universities that have frequent collaboration with other international universities. The United States, China, Canada and the United Kingdom are the countries that have the highest numbers of collaborations with Taiwanese academics. Lastly, the keywords model, system and algorithm were the most common terms used in recent years.

This study applied SNA to visualize international research collaboration patterns and has revealed some salient characteristics of international cooperation trends and patterns, leadership networks and influences and research productivity for faculty in Information Management departments in Taiwan from 1982 to 2015. In addition, the authors have discovered the most common keywords used in recent years.

The international strategies of multinational enterprises are increasingly augmented by insights on, and approaches to, external stakeholders and nonmarket dynamics. The rise of populism and increased geopolitical uncertainty have accelerated these efforts, particularly for business leaders anticipating and engaging external agents, events, and issues that challenge the strategic objectives of their enterprises.

In this paper we explain why the increased preponderance of populism and geopolitical uncertainty are concurrently posing an existential threat to the post-Cold War global economy predicated on free trade and (relatively) open borders and, consequently, challenging the structures and strategies of international business.

We provide an overview of the four papers in our special issue and consider how each advances insights on how multinational enterprises effectively navigate the nonmarket uncertainties of the contemporary global economy. We then advance four important areas for international business research on multinational nonmarket strategies: (i) resilience and legitimacy; (ii), diversification; (iii), market and nonmarket strategy integration; and (iv), institutional arbitrage.

We anticipate that nonmarket strategy scholars can build on these themes to assess how nonmarket strategies can better enable multinational enterprises to survive and thrive in an age of heightened global risk and uncertainty.

This paper and the related special issue provides novel theoretical insights by drawing attention to the relatively under-researched realm of multinational enterprise nonmarket strategy, particularly in populist contexts and during periods of geopolitical uncertainty. Importantly, we identify four promising domains – resilience and legitimacy, diversification, the integration of market and nonmarket strategy, and institutional arbitrage – for international business scholars investigating nonmarket strategy to consider. We anticipate that our paper, as well as other papers in this special issue, contribute further momentum to this burgeoning area of research.

This paper aims to investigate the temperature and wear properties of vertical ball screws and to discuss the surface design of ball screws in industrial applications.

The energy equation of the screw surface considering the frictional heat was established to verify the surface temperature of the ball screw. X-ray diffraction was used to examine the micro-contact temperature between the ball and screw. Debris size and density were examined to investigate wear properties of ball screws and to study the relationship of wear debris and temperature.

First, the main energy source for the surface temperature of high speed vertical ball screws is derived from friction force between ball and screw. Second, the temperature rise between the ball and screw has great relevance with wear debris concentration. Third, the surface temperature of the screw is higher than between the nut and ball for high speed vertical ball screws due to high convection heat transfer. The contact temperature of the nut near the flange is smaller than that of the nut away from the flange end due to the high contact load and thermal conduction. Finally, correlation of particle size and surface roughness value for vertical ball screws was established, and its effects on contact temperature were studied. The theoretical analysis and experiments will help to characterize the design and manufacture of vertical ball screws.

The surface temperature and micro-contact temperature analytical model were established to study the ball screw design. Based on the surface-particle micro-contact temperature balance, the optimal range of surface roughness was designed for vertical ball screws, considering the wear debris and micro-contact temperature.

The purpose of this paper is to integrate the ISO 9001:2008 and blueprints by using a process approach, to have systematic regulation in hospital quality management.

This study promotes a process approach when developing, implementing, and improving the effectiveness of hospital service quality to enhance patients’ satisfaction by meeting their requirements. This study completes the hospital’s blueprints with the process approach by using case study research methods such as in‐depth interviews with relevant personnel, on‐site observations, and experts’ advice.

The results of hospital blueprints described in this study comprise five‐plane lines to have systematic regulations. The ISO 9001:2008 process approach and service blueprint are not merely a technological application for medical healthcare services, but rather a fully patient‐driven, technologically integrated, and diligently implemented programme.

Because of organisational financial confidentiality, this study does not consider the financial performance of the case hospital, and the results of blueprints may be revised afterward.

This paper promotes the adoption of a process approach when developing, implementing, and improving the effectiveness of a hospital outpatient service management system, to enhance outpatients’ satisfaction by meeting their requirements.

This study aims to empirically investigate how knowledge paradox affects collaboration performance. Knowledge paradox, which arises from the simultaneous need for knowledge sharing and protection, is common in interorganizational collaboration. Using the ambidexterity perspective, this paper aims to reexamine the effect of the knowledge paradox on collaborative performance to explore the moderating roles of structural and contextual ambidexterity.

This study used a sample of 153 firms involved in vertical and horizontal collaboration, collected via questionnaires. Hypotheses were tested using hierarchical regression analysis.

This study demonstrates that the stronger the knowledge paradox is, the higher the potential for value creation. Thus, knowledge paradox has a positive impact on collaborative performance. The functions of structural ambidexterity and contextual ambidexterity strengthen this positive relationship.

This paper not only expands the theoretical application of the knowledge paradox and ambidexterity theory in the context of interorganizational relationships but also provides significant managerial implications. By comprehending the dynamics of the knowledge paradox and the role of ambidexterity, managers can make well-informed decisions to enhance their collaborative performance.

The categorization response model through gene expression patterns turns into one of the most favorable utilizations of the microarray technology. In this study, the aim is to propose a grid computing-based meta-evolutionary mining approach as a categorization response model for gene selection and cancer classification.

The proposed approach is based on the grid computing infrastructure for establishing the best attributes set selected from a big microarray data. The novel discriminant analysis is based on vector distant of median method as the evaluation function of meta-evolutionary mining approach. In this study, the proposed approach lays stress on finding the best attributes set for constructing a categorization response model with highest categorization accuracy.

Examples for several benchmarking cancer microarray data sets were used to evaluate the proposed approach, whose results are also compared with other approaches in literatures. Experimental results from four benchmarking problems indicate that the proposed approach works effectively and efficiently, and the results of the proposed methods are superior to or as well as other existing methods in literatures.

The novel discriminant analysis is based on vector distant of median method as the evaluation function of meta-evolutionary mining approach to discover the best feature subset automatically from the microarray tumor database. In this study, the proposed approach lays stress on finding the best attributes set for constructing a categorization response model with highest categorization accuracy.

Following the high profile collapses of Enron and WorldCom, and the demise of Andersen, human capital (HC) has become a key driver of auditor quality. The purpose of this study is to investigate if there is a positive association between HC and auditor quality in public accounting firms and if the extent of association varies between accounting firms.

Multiple regression and logistic modeling are applied to examine the association between auditor quality and HC. The sample consists of 4,865 firm‐year observations over the period from 1989 to 2004.

The main findings indicate that higher investments in HC correspond to a higher level of auditor quality. Furthermore, the power of HC on auditor quality has a significant difference between public and non‐public audit market firms.

A number of theoretical and measurement limitations are acknowledged that could further increase the statistical power of the tests.

The findings should be of interest to regulators, auditors, audit clients, and academics. The findings also suggest that HC has an impact on overall auditor quality. The audit firms need more well‐educated and well‐trained professionals with the experience to keep pace with the changing nature of the market and to perform audit tasks.

The findings fill a gap in the literature regarding auditor quality and HC from the perspective of public accounting firms.

The purpose of this paper is to examine how service failure affects customers’ negative response and how service recovery affects perceived justice in the context of different relationship norms.

It includes four studies that examine how relationships influence customer reactions to service failures. In study 1, the paper examines how service failures affect customers’ negative reaction. In study 2, the paper examines how service recoveries influence perceived justice. Study 3 and study 4 test the robustness of the results of study 1 and study 2. All studies have a 2×2 between-subjects design.

The results show that individuals in exchange relationships experience a stronger feeling of betrayal than those in communal relationships during service failures. Further, individuals feel more betrayed and show greater negative responses during process failures. They perceive greater justice when offered physical recoveries, which, in turn, contributes to higher service-recovery satisfaction.

This study was conducted in Taiwan. Customer reactions to service failures may vary according to cultural and environmental contexts.

Service providers are encouraged to cultivate relationships with customers and identify different types of customers to compensate them more effectively, according to their preferences.

This study introduces relationship norms to investigate consumer responses to service failures. The main contributions are twofold; it investigates the effect of relationship norms on customer responses to service-failure types and service-recovery types.

The paper aims to examine how trust interacts with factors affecting interorganizational knowledge sharing in green supply chains, where cooperation and competition coexist.

A new research model is developed which comprises nine constructs and 13 research hypotheses, with trust as a mediating construct. The nine constructs are measured by well‐supported measures in the literature. The hypotheses are tested on data collected from 288 major green manufacturing firms in Taiwan, using structural equation modeling.

The paper finds that trust is the pivot of the factors influencing interorganizational knowledge sharing. The more a factor contributes to trust positively (such as participation and communication) or negatively (such as opportunistic behavior), the more the factor contributes to knowledge sharing correspondingly. The factors with no significant influence on trust (such as shared values and learning capacity) have no or less influence on knowledge sharing.

The empirical study is conducted on green supply chains, with data collected from Taiwan's green manufacturing firms. With the research model developed, cross‐industrial studies on various forms of supply chains can be conducted to investigate whether differences between supply chains exist about the role that trust plays in interorganizational knowledge sharing.

The findings of the paper provide useful insights into how supply chain members should reinforce their collaborative behaviors and activities that would enhance the trust‐based relationships, in order to achieve the competitive advantage of knowledge sharing for the supply chain as a whole.

The new research model developed allows the relationships between trust and other influencing factors on interorganizational knowledge sharing to be explored. The model reflects the coexistence of the cooperation and competition relationships between supply chain members, which is not dealt with in previous studies.