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Gives an in depth view of the strategies pursued by the world’s leading chief executive officers in an attempt to provide guidance to new chief executives of today. Considers the marketing strategies employed, together with the organizational structures used and looks at the universal concepts that can be applied to any product. Uses anecdotal evidence to formulate a number of theories which can be used to compare your company with the best in the world. Presents initial survival strategies and then looks at ways companies can broaden their boundaries through manipulation and choice. Covers a huge variety of case studies and examples together with a substantial question and answer section.

It is unattainable that entrepreneurs engage equivalent resources in public and private morality because of the limitation of resources. This study aims to conduct experiments to test how entrepreneurial deviation in morality affects legitimacy perception of consumers to entrepreneurs.

This study conducted secondary data analysis and experiment to test how entrepreneurial deviation in morality affects legitimacy perception of consumers to entrepreneurs.

The experimental results show that entrepreneurial deviation in morality negatively affects legitimacy perceptions of consumers to entrepreneurs. Specifically, when public moral is higher than private moral, consumers have negative perceptions of pragmatic legitimacy to entrepreneurs, because consumers perceive deviation behaviors disobey the norm “Li”. However, entrepreneurial private morality excels public morality, consumers have negative perceptions of social legitimacy to entrepreneurs because consumers perceive deviation behaviors disobey the norm “Qing”. Moreover, the authors examined entrepreneurial values moderate the effects of moral deviation and legitimacy perceptions.

This study expands the ethical marketing of entrepreneurs from the perspective of the deviation between public morality and private morality.

This paper aims to explore the developing trend of higher pedagogy, to promote the research of higher pedagogy to be more canonical and scientific and to improve the higher education theory.

The utility research uses a method of quantitative study, namely “content analysis”, to estimate and analyze the higher education theory literature on ten dimensionalities which include theme, author, abstract, keywords, subject, proposing of the issue, definition of key terms, research methods, conclusion, reference and annotations from 1996 to 2006 in China.

The analysis of the selected 250 academic theses and reports in the field of higher education shows that academic research and theoretical standard have been improved, meanwhile academic criterion have been formed by degrees in higher pedagogy within ten years. At the same time, there are still some problems in the papers and reports the authors have selected such as title, key words, proposing of the issue, researching method and conclusion.

This paper sums up the trend of research on higher education in China for the past ten years, and points out the problems in this trend and then proposes ways to improve the research of higher education in China.

In the present research work electrochemical grinding (ECG) process is applied to machine Al₂O₃/Al interpenetrating phase composite. The purpose of this paper is to present a new approach to optimize the ECG process parameters while machining alumina-aluminum (Al₂O₃ – Al) interpenetrating phase composites (IPC) used in automotive, aircraft and manufacture of space ships applying Taguchi-based experimental studies and fuzzy multi-criteria decision-making techniques.

The present work identifies the process variables that have significant consequences during ECG of Al₂O₃/Al IPC. The Taguchi L₉ orthogonal array is selected for design of experiments and the analysis is carried out following signal to noise ratio. The analysis of variance is carried out to establish the factors that significantly influence the responses. The present work also investigates the multi objective optimization of ECG process parameters using VIseKriterijumsa Optimizacija I Kompromisno Resenje (VIKOR) and Grey relational analysis (GRA) to establish the reference ranking from a set of alternatives in the presence of conflicting criteria.

Material removal rate, surface finish, overcut and cutting force are shown to depend on the type of electrolyte, supply voltage, depth of cut and electrolyte flow rate. It is found that voltage and electrolyte concentration are important. The optimal machining parameter combination for ECG process is determined using fuzzy set theory, VIKOR and GRA. Substantial improvement in machining performance takes place.

A variety of manufacturing techniques are available for processing of Al₂O₃ – Al metal matrix composites. Generally manufacturers favor low cost modus operandi. Therefore ECG process is the best alternative for processing of MMCs in the present commercial sectors. The experimental investigation approach can act as useful and an efficient guideline for manufacturing.

The characteristic features of the ECG process are reflected through Taguchi design-based experimental studies with various process parametric combinations. Application of multi-response optimization technique for evaluation of best parametric combination for machining Al₂O₃ – Al IPC material using ECG process is a first-of-its-kind approach in literature.

Selecting a suitable contract to outsource construction projects is an ongoing concern for project managers and organizational directors. This study aims to propose a comprehensive model to manage the risks of outsourced construction project contracts.

To employ the proposed model, firstly, the types of contracts and risks in the organization should be identified, then, to prioritize the contracts, the identified risks are considered as criteria. After receiving the experts' opinions, the best–worst method (BWM) integrated with grey relation analysis (GRA) method was used to prioritize the contracts. BWM and GRA are multi-criteria decision-making methods with different approaches and applications. In the current study, BWM has been employed to calculate the weights of criteria because it has better performance than other methods such as the analytic hierarchy process (AHP). After calculating the weights of criteria, the GRA method has been utilized for ranking the alternatives.

According to the results obtained from the case study, the cost plus award fee contract is the most suitable alternative for outsourcing construction projects. The proposed methodology can be practically applied through different types of the projects such as construction or “engineering, procurement and construction”.

To the best of our knowledge, this is the first time a conceptual model has been proposed to select an appropriate contract for construction projects. Also, for the first time, the BWM integrated with GRA method has been used to prioritize project contracts based on the potential risks. The proposed model can contribute to project managers for selecting a suitable contract with the least risk in construction projects.

In this paper, we model histories of coresidence between two cohorts of urban Chinese couples, married during the Cultural Revolution and early market reform periods. Most research on coresidence pictures families cross‐sectionally, but nuclear households are a natural part of extended coresidence systems that prefer stem family arrangements. We study histories of coresidence to determine what predicts ever having coresided with the husband’s parents, comparing the predictive power of modernization theory to the impact of demographic change, the availability of household members, and the resources and needs of each generation. While married children’s needs for childcare do not propel them into coresidence, they strongly predict the likelihood of staying coresident.

This paper seeks to examine an emerging synergetic model of organizational leadership that is founded on Chinese Taoism and complex adaptive system (CAS).

The paper is formed around a comparative analysis of two conceptual models – the CAS model that is founded on what is known as the new science and a more ancient model that is based on Chinese Taoism.

While the two models were developed more than 2,500 years apart, this paper shows a degree of alignment between Eastern wisdom and the latest Western scientific theory. The essence of what is characterized as Taoistic leadership emphasizes alignment with “The Way” and is based on the interplay of “Yin/Yang.” This is similar to the core elements of CAS that emphasizes the importance of “the Attractor” and the interplay of “Order/Disorder.”

This paper points out the promise of a convergence of ancient wisdom from China, with the latest new science view on organizational behavior. The outcome is a complementary leadership model that is undergirded by both ethical values and scientific support.

This paper goes one step beyond traditional analyzes by dissecting the two key streams of Chinese philosophy, comparing and contrasting these with CAS.

Chinese leaders today tend to be influenced by a leadership style that can be broadly characterized as reflecting principles of Confucianism. These principles support a more hierarchical formulation of leadership and organizations that are more centralized and less adaptive to today's dynamic environment. This paper offers an alternative leadership model, grounded in the Tao philosophy that is said to be more accommodating of the complexities of organizational behavior today. It also offers value to Western leaders in appreciation of the ancient wisdom and values in Taoism relating to today's organizational behavior and leadership.

The aim of this paper is to analyze and measure the effects of intellectual capital (IC), i.e. human capital (HC), relational capital (RC) and structural capital (SC), on healthcare industry organizational performance and understanding the role of data analytics and big data (BD) in healthcare value creation (Wang et al., 2018). Through the assessment of determined variables specific for each component of IC, the paper identifies the guidelines and suggests propositions for a more efficient response in terms of services provided to citizens and, specifically, patients, as well as predicting effective strategies to improve the care management efficiency in terms of cost reduction.

The study has a twofold approach: in the first part, the authors operated a systematic review of the academic literature aiming to enquire the relationship between IC, big data analytics (BDA) and healthcare system, which were also the descriptors employed. In the second part, the authors built an econometric model analyzed through panel data analysis, studying the relationship between IC, namely human, relational and structural capital indicators, and the performance of healthcare system in terms of performance. The study has been conducted on a sample of 28 European countries, notwithstanding the belonging to specific international or supranational bodies, between 2011 and 2016.

The paper proposes a data-driven model that presents new approach to IC assessment, extendable to other economic sectors beyond healthcare. It shows the existence of a positive impact (turning into a mathematical inverse relationship) of the human, relational and structural capital on the performance indicator, while the physical assets (i.e. the available beds in hospitals on total population) positively mediates the relationship, turning into a negative impact of non-IC related inputs on healthcare performance. The result is relevant in terms of managerial implications, enhancing the opportunity to highlight the crucial role of IC in the healthcare sector.

The relationship between IC indicators and performance could be employed in other sectors, disseminating new approaches in academic research. Through the establishment of a relationship between IC factors and performance, the authors implemented an approach in which healthcare organizations are active participants in their economic and social value creation. This challenges the views of knowledge sharing deeply held inside organizations by creating “new value” developed through a more collaborative and permeated approach in terms of knowledge spillovers. A limitation is given by a fragmented policymaking process which carries out different results in each country.

The analysis provides interesting implications on multiple perspectives. The novelty of the study provides interesting implications for managers, practitioners and governmental bodies. A more efficient healthcare system could provide better results in terms of cost minimization and reduction of hospitalization period. Moreover, dissemination of new scientific knowledge and drivers of specialization enhances best practices sharing in the healthcare sector. On the other hand, an improvement in preventive medicine practices could help in reducing the overload of demand for curative treatments, on the perspective of sharply decreasing the avoidable deaths rate and improving societal standards.

The authors provide a new holistic framework on the relationship between IC, BDA and organizational performance in healthcare organizations through a systematic review approach and an empirical panel analysis at a multinational level, which is quite a novelty regarding the healthcare. There is little research focussed on healthcare industries' organizational performance, and, specifically, most of the research on IC in healthcare delivered results in terms of theoretical contribution and qualitative analyzes. The authors even contributed to analyze the healthcare industry in the light of the possible existence of synergies and networks among countries.

By the re‐interpretation of the Book of Changes (I Ching), this article aims to build a framework for analyzing the structure and the evolvement of leadership.

There are 64 hexagrams in Book of Changes. This article focuses the discussion on Qian hexagram, which is the first and the most important one in all the hexagrams. By using metaphysical concepts, this article builds a dynamic leadership system. This leadership system is composed of the four virtues of Qian (with the meaning of heaven, force), which are as follows: Yuan (creation and origination), Heng (cooperation and development), Li (achievement and sharing), and Zhen (firmness and perseverance). Based on this framework, by using the metaphor of dragon, this article develops an evolvement route of leadership according to the six situations set by the Qian hexagram, which are humble stage, emerging from hiding, trying your best, going up or down, reaching excellence, and starting to fall, and discusses the proper leadership in different situations.

There are four elements or virtues in leadership. The importance of each virtue and the key points in each of them change as an organization or a venture evolves from one situation to another. Leaders should match their leadership with the specific situation they are in.

According to the knowledge of the authors, this article is the first one in the world trying to set up a leadership system based on Book of Changes, especially Qian hexagram. The implications provided by this article would be very valuable for leaders to more successfully evaluate their situations and change their leaderships according the different challenges they may face.

With the aid of naturalistic simulations, this paper aims to investigate human behavior during manual and autonomous driving modes in complex scenarios.

The simulation environment is established by integrating virtual reality interface with a micro-simulation model. In the simulation, the vehicle autonomy is developed by a framework that integrates artificial neural networks and genetic algorithms. Human-subject experiments are carried, and participants are asked to virtually sit in the developed autonomous vehicle (AV) that allows for both human driving and autopilot functions within a mixed traffic environment.

Not surprisingly, the inconsistency is identified between two driving modes, in which the AV’s driving maneuver causes the cognitive bias and makes participants feel unsafe. Even though only a shallow portion of the cases that the AV ended up with an accident during the testing stage, participants still frequently intervened during the AV operation. On a similar note, even though the statistical results reflect that the AV drives under perceived high-risk conditions, rarely an actual crash can happen. This suggests that the classic safety surrogate measurement, e.g. time-to-collision, may require adjustment for the mixed traffic flow.

Understanding the behavior of AVs and the behavioral difference between AVs and human drivers are important, where the developed platform is only the first effort to identify the critical scenarios where the AVs might fail to react.

This paper attempts to fill the existing research gap in preparing close-to-reality tools for AV experience and further understanding human behavior during high-level autonomous driving.

This work aims to systematically analyze the inconsistency in driving patterns between manual and autopilot modes in various driving scenarios (i.e. multiple scenes and various traffic conditions) to facilitate user acceptance of AV technology.

A close-to-reality tool for AV experience and AV-related behavioral study. A systematic analysis in relation to the inconsistency in driving patterns between manual and autonomous driving. A foundation for identifying the critical scenarios where the AVs might fail to react.