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Quality issues, increasing patient expectations and unsatisfactory media reports are driving patient safety concerns. Developing a quality and safety culture (QSC) is, therefore, crucial for patient and staff welfare, and should be a priority for service providers and policy makers. The purpose of this paper is to identify the most important QSC drivers, and thus propose appropriate operational actions for Saudi Arabian hospital managers and for managers in healthcare institutions worldwide.

Quantitative data from 417 questionnaires were analyzed using structural equation modeling. Respondents were selected from various hospitals and managerial positions at a national level.

Findings suggest that error feedback (FAE) and communication quality (QC) have a strong role fostering or enhancing QSC. Findings also show that fearing potential punitive responses to mistakes made on the job, hospital staff are reluctant to report errors.

To achieve a healthcare QSC, managers need to implement preemptive or corrective actions aimed at ensuring prompt and relevant feedback about errors, ensure clear and open communication and focus on continuously improving systems and processes rather than on failures related to individual performance.

This paper adds value to national healthcare, as Saudi study results are probably generalizable to other healthcare systems throughout the world.

The purpose of this paper is to construct a novel delay grey incidence analysis model to analyze drivers and obstacles of university R&D performance.

With respect to the fact that university R&D activities typically experience two stages of knowledge creation and technology transfer, and different drivers and obstacles come into play to affect the conversion of R&D investment to outcomes at each stage, based on the thought of grey incidence analysis and the specific characteristics of science and technology (sci-tech) development, a novel delay grey incidence analysis model is proposed in this paper, and then according to the yearbook statistical data, Chinese university R&D activities are investigated and the drivers and obstacles of university R&D performance are analyzed.

The results show that the R&D full-time staff and R&D funds of basic research are the key drivers of influencing factors, and the sci-tech innovation talents in universities’ R&D institutions and experiment development funds are the restraining factors to improve R&D performance in the stage of knowledge creation; the expenses of R&D achievement application and technology service and the full-time staff of achievement application and technology service are the key drivers and obstacles of influencing the aggregate amount of patent sale respectively.

This research helps policy makers to reflect on their university R&D policies and understand how to enhance the technology transfer rate in China.

The paper succeeds in identifying key drivers and obstacles of affecting university R&D performance in China by examining the input and output incidence at both the knowledge creation and technology transfer stages.

Understanding the determinants of health services use is essential for planning for effective services, particularly health care policies in a newly independent state, the Republic of Kazakhstan. The main purpose of this study is to examine the relative importance of social capital factors in affecting the variation in health status and use of health services, using structural equation modeling. The results show that health status is a strong predictor of health services use when the effect of social capital is held constant; and that social capital is directly linked with health status.

The purpose of this paper is to investigate and contribute to a better understanding of cutting process characteristics using the proposed RBD Palm Olein-based organic mixed coolant.

In this research, refined, bleached and deodorized (RBD) Palm Olein is selected as the base oil for organic coolant and mixed coolant (base oil mixed with chemicals) to compare with the cutting performance of industrial water-soluble chemical (inorganic) coolant. Using coated carbide tool, JIS SS400 Mild Steel was tested in milling process. At fixed spindle speed, the relations between feed rate and depth of cut (DOC) on cutting temperature and surface roughness were investigated. Also, the dynamic viscosity, specific heat capacity and pH level for each coolant are taken into consideration.

As predicted, cutting fluid with lower viscosity removes more heat. The cutting temperature increased with increasing feed rate and DOC. However, surface roughness increased with increasing feed rate but decreased with increasing DOC. From the data gathered, the proposed RBD Palm Olein-based organic mixed coolant showed better heat removal properties than organic coolant and it produced a far better machined surface than inorganic coolant.

Overall, the proposed organic mixed coolant has shown great potential to be a good cutting fluid when balance between cooling properties and lubricity, and consistent quality of cutting fluids are sought to produce environmental friendly quality workpiece.

This study examines the effects of a firm’s corporate social responsibility (CSR) initiative on its employees’ organizational attachment and intent to leave. We propose that employees’ perceived authenticity of their firm’s CSR activity mediates the effects of a firm’s CSR initiative on employees’ attachment to the firm and intent to leave. We also hypothesize that employees understand the authenticity of their firm’s CSR initiative based on internal and external attribution mechanisms. We propose that internal attribution enhances authenticity, while external attribution reduces it.

We surveyed a sample of 450 employees from 38 Korean companies that were included in the 2009 Dow Jones Sustainability Index Korea (DJSI Korea). To test the theoretical model, we employed a linear structural equation modeling which allows the causal estimation of theoretical constructs after taking into account their measurement errors.

As predicted, internal attribution significantly increases employees’ perceptions of their firm’s CSR authenticity, whereas external attribution significantly reduces such perceptions. Employees’ perceptions of authenticity, in turn, increase their affective attachment and decrease their intent to leave. In addition, the effects of the two attribution mechanisms on organizational attachment and intent to leave were mediated by employees’ perceptions on authenticity.

Research on authenticity has been case studies or narrative ones. This is one of the first studies investigating the role of authentic management empirically.

We demonstrate that a firm’s CSR initiative is a double-edged sword. When employees perceive inauthenticity of their firm’s CSR initiative, the CSR initiative could be detrimental to employees’ attachment to the firm. This study calls attention to the importance of authentic management of CSR.

Informational transparency through social network services become the foundational reality to the contemporary management. To maintain competitive edge in this changing world, every stakeholder of a firm including managers, employees, customers, shareholders, government, and communities should collaborate and help each other live the principle of authenticity.

Disparities in transplant rates across social categories provide limited information about gatekeeping processes in access to kidney transplantation. We hypothesized that early opportunities for discussion of kidney transplantation potentially generate social capital that serves as a resource for patients as they navigate the transplantation pathway.

A national sample of first-year dialysis patients was surveyed and asked if kidney transplantation had been discussed with them before and after starting dialysis treatment. Associations between reported discussion and patient-specific clinical and nonclinical (sociodemographic) indicators of attributed utility for transplantation were investigated, and the association of reported transplant discussion with subsequent transplant waitlisting was analyzed.

Time to placement on the kidney transplant waiting list was significantly shorter for patients who reported that transplantation had been discussed with them before, as well as after, starting dialysis. Likelihood of reported discussion varied by patient age, employment and insurance status, cardiovascular comorbidity burden, and perceived health status; in addition, women were less likely to report early discussion.

It would be valuable to know more about the nature of the transplant discussions recalled by patients to better understand how social capital may be fostered through these discussions.

Indicators of attributed utility for successful transplantation were associated with transplant discussion both before and after starting dialysis, potentially contributing to observed disparities in access to kidney transplantation.

Predialysis nephrology care and patient participation in discussion of kidney transplantation may foster social capital that facilitates navigating the transplantation pathway.

This chapter of the book seeks to use famous mathematical functions (statistical distribution functions) in evaluating and analyzing supply chain network data related to supply chain management (SCM) elements in organizations. In other words, the main purpose of this chapter is to find the best-fitted statistical distribution functions for SCM data. Explaining how to best fit the statistical distribution function along with the explanation of all possible aspects of a function for selected components of SCM from this chapter will make a significant attraction for production and services experts who will lead their organization to the path of competitive excellence. The main core of the chapter is the reliability values related to the reliability function calculated by the relevant chart and extracting other information based on other aspects of statistical distribution functions such as probability density, cumulative distribution, and failure function. This chapter of the book will turn readers into professional users of statistical distribution functions in mathematics for analyzing supply chain element data.

The diffusion and adoption (D&A) of innovation propels today's technological landscape. Crisis situations, real or perceived, motivate communities of people to take action to adopt and diffuse innovation. The D&A of innovation is an inherently human activity; yet, artificially intelligent techniques can assist humans in six different ways, especially when operating in fifth generation ecosystems that are emergent, complex, and adaptive in nature.

Humans can use artificial intelligence (AI) to match solutions to problems, design for diffusion, identify key roles in social networks, reveal unintended consequences, recommend pathways for scaling that include the effects of policy, and identify trends for fast-follower strategies. The stability of the data that artificially intelligent systems rely upon will challenge performance; nevertheless, the research in this area has positioned several promising techniques where classically narrow AI systems can assist humans. As a result, human and machine interaction can accelerate the D&A of technological innovation to respond to crisis situations.

The relationship between internationalization efforts of businesses and resulting performance has long been debated in the international marketing literature. Specially, under the environmental uncertainty, perception and experience of managers are important for internationalization performance.

This study proposes an integrated research framework and mechanism between perceived international risk and international marketing performance, adopting international experience as moderator variable and entry mode as mediating variable. Survey was conducted on 1,612 managers of 420 Chinese international enterprises by email and received 463 valid questionnaires.

The results show that there is a significant negative relationship between perceived international risk and international performance. Direct influence and perceived international risk have an indirect influence on international performance through entry mode; the influence on the international performance from perceived international risk is moderated by international experience, the regression coefficient between perceived international risk and international performance is the quadratic function of international experience.

Different from previous literature, this study found the complex relationship between risk and performance.

Companies are interested in engaging consumers in spreading the word about their products or brands. Although more and more studies are analysing word of mouth marketing (WOMM), the topic is still very recent, thus very little is known about how to develop a WOMM campaign effectively. This chapter develops a literature review on WOMM in social media for better understanding on how to manage WOMM.

The studies reviewed have allowed us to identify the main decisions that should be taken when planning a WOMM campaign: the selection of the seed, the type of message and the inclusion of incentives.

We identify the two types of objectives that companies can follow with WOMM: information diffusion or consumers’ persuasion. Depending on the campaign objectives, the strategy to be used in order to be successful is different.

This chapter can be useful to both, marketers, by showing them how to develop a WOMM campaign effectively; and researchers, by showing them the main gaps on WOMM that should be addressed in future studies.

This is one of the first attempts to review the literature and organize knowledge on WOMM. Concepts that have been treated as synonymous by many researchers such as opinion leaders, market mavens, innovative consumers, and hubs are clarified and distinguished one from the other which may help in improving previous knowledge on this field.