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Purpose – Initial explorations in the burgeoning field of neuroeconomics have highlighted evidence supporting a potential dissociation between a fast automatic system and a slow deliberative controlled system. Growing research in the role of emotion in decision-making has attempted to draw parallels to the automatic system. This chapter will discuss a theoretical framework for understanding the role of emotion in decision-making and evidence supporting the underlying neural substrates.

Design/Methodology/Approach – This chapter applies a conceptual framework to understanding the role of emotion in decision-making, and emphasizes a distinction between expected and immediate emotions. Expected emotions refer to anticipated emotional states associated with a given decision that are never actually experienced. Immediate emotions, however, are experienced at the time of decision, and either can occur in response to a particular decision or merely as a result of a transitory fluctuation. This chapter will review research from the neuroeconomics literature that supports a neural dissociation between these two classes of emotion and also discuss a few interpretive caveats.

Findings – Several lines of research including regret, uncertainty, social decision-making, and moral decision-making have yielded evidence consistent with our formulization – expected and immediate emotions may invoke dissociable neural systems.

Originality/value – This chapter provides a more specific conceptualization of the mediating role of emotions in the decision-making process, which has important implications for understanding the interacting neural systems underlying the interface between emotion and cognition – a topic of immediate value to anyone investigating topics within the context of social-cognitive-affective-neuroscience.

The purpose of this study is to develop a new protective coating formulation for industrial use, using benzodiazepine derivatives as double function additives.

Benzodiazepine’s derivatives of types (3–5) were prepared and confirmed by infrared, Mass, ¹H-Proton nuclear magnetic resonance (NMR) and ¹³C NMR spectra. The synthesized compound was physically incorporated in the alkyd paint formulation by pebble mill grinding until all particulates are smaller than 20 ums. The prepared coatings were applied by air spray on steel panels. The physical, mechanical characteristics, corrosion resistance and antimicrobial test of the prepared coatings were studied to evaluate the prepared compounds drawbacks.

The results of the mechanical and physical properties of the paint formulation revealed that the paint formulation incorporating benzodiazepines derivatives 3–5 performed best and improved corrosion-resistance and antibacterial activity tests.

In alkyd paint, heterocyclic compounds are the most used antibacterial additives. Other functionalities of these compounds, such as corrosion inhibitors, might be studied to see if they are suited for these applications.

Because of the activity of various benzodiazepine derivatives, which may be attributable to the presence of some function groups such as sulfonamide aromatic amino NH₂ group, and elements such as Sulphur, Nitrogen, Chlorine, in its chemical structure. As a result, paint compositions including these compounds as additives can be used as dual-purpose paint and for a variety of industrial applications.

The research demonstrates how a low-cost paint composition based on synthesized benzodiazepine derivatives 3–5 may be used as a dual-function paint for industrial use.

Ambient service provisioning with the least human participation in a pervasive computing environment, which is composed of interconnected devices and sensors, raises several trust and security issues. Accurate measuring of the integrity of the nodes that are willing to interact in this intimate environment can boost the trust evolution process, particularly in the uncertainty state and initiation phase. The paper aims to discuss these issues.

The paper presents a unified approach in calculating the trust value among the nodes by leveraging some trusted computing functionalities. The approach aggregates different trust metrics like context, recommendation, and history to compute the trust index of each party more accurately. The paper also describes several existing remote attestation techniques including the chosen attestation technique for the model. The paper simulated the behaviour of the model in different scenarios and evaluates its responsiveness when the trustworthiness among peer nodes can be attested.

The results obtained from different simulated scenarios demonstrate the usefulness of the proposed model. It is shown that trust evaluation process in the proposed model is very granular and also can be fine-tuned according to the application and context. The model strength in solving the uncertain situations and assigning appropriate initial trust values is shown, as well. Finally, the paper describes the future research plan to evaluate the accuracy of the model.

The novel idea of applying remote attestation in trust determination may open up new avenues of research in the study of trust management and trust models.

The purpose of this paper is to review some of the latest in new vision sensor technologies as well as other innovative sensor products being developed and reaching the market.

This study is a review of published information and papers on research as well as contact and discussions with researchers and suppliers in this field at the Vision Show and the Ceramics Show.

Microelectronics and electrochemical technologies have been a major factor in technology advancements of sensors for a wide range of applications. Vision sensors have become very important, as applications such as drone aircraft and driver less cars have dramatically grown. Technology has advanced and so sensors are becoming smarter, are smaller, offer better resolution, are much more sensitive than in the past and address previously unserved applications.

Readers may be very excited to learn of the many advances in vision and other technologies which are coming to the sensor field. Such sensors are addressing new applications that were not previously possible which are now being served.

Past research indicates that blacks are less trusting of physicians than are whites; yet, researchers have not examined within group differences in physician trust by religious denomination – an effort that is complicated by the high correlated nature of race and religion. To better understand black-white differences in physician trust, this chapter examines heterogeneity in trust levels among blacks associated with religious designations that distinguish Black Protestants from other ethnoreligious groups.

Using data from the 2002 and 2006 General Social Surveys, this study adopts an intersectional (i.e., race x religion) typology of religious denomination to understand the black-white gap in physician trust. Weighted multivariate linear regression is employed.

Black-white differences in physician trust are identified only when religious affiliation is considered but not when religious affiliation is omitted. Blacks who are affiliated with Black Protestant churches are more trusting than other religious groups, including Evangelical Protestants, Mainline Protestants, and blacks who are affiliated with other faiths.

This chapter indicates that there is more heterogeneity in trust levels among blacks than between blacks and whites. Moreover, the findings suggest that religion can play an important role in bridging the trust gap between blacks and the medical sciences.

The relationship between multinational enterprises (MNEs) and host governments has seen different waves of trust and mistrust. Over the years, it has changed from a period of conflict after World War II, where MNEs were investing for purposes felt to be contradictory to government policies, to a more cooperative one, where countries are providing incentives and competing with each other to attract foreign direct investment (FDI). The 1990s saw the cooperative relationship leading to the danger of race to the bottom through excessive locational competition. In this chapter, we look at the past, present, and future state of this relationship as reported by different scholars from these periods. We look at the most influential literature from the 1970s onward and the current state of this relationship. Our analysis reveals that the increased tensions are caused by anxiety owing to unanticipated developments in the political economy, company strategies, and government policies. Thanks to globalization MNEs are increasingly becoming more powerful and often this process is accelerated owing to lack of any collaboration between MNEs and the governments. Thus, governments, particularly in emerging markets, are becoming more and more frustrated by the fact that on the one hand they want the MNEs to come and invest in their countries and, on the other hand, they feel that they cannot direct these MNEs to contribute toward economic development and poverty alleviation in their countries. In this chapter, we intend to evaluate the past and the present literature and look ahead to the future. Finally, on the basis of our own studies performed in this project and reported in different chapters of this book, we provide some policy guidelines for host country governments as to how they can encourage MNEs to contribute toward sustainable development and poverty reduction.

The agriculture industry has a considerable impact on Malaysia’s economy, as seen by its contribution of roughly 8.2% of gross domestic product in 2018 and its potential to absorb 11.09% of Malaysian labor in the same year. This study aims to simulate rising output in a system model of sustainable and profitable crude palm oil (CPO) supply chain management (SCM) and to formulate policy solutions to build sustainable and profitable SCM of Malaysian CPO.

This research included both primary and secondary data. This study used the dynamic system model to simulate palm oil land expansion, replanting policies and environmentally friendly growing techniques.

This study’s findings suggest that the dynamic system model of Malaysia’s CPO’s sustainable and profitable SCM is valid when its structure and performance are tested. The fifth scenario provides the best results, with the most significant net benefit value compared to the other scenarios.

The ideal policy alternative is replanting sustainable agricultural practices without burning technologies during new land clearing to achieve the best net advantages.

To document the police protective custody (PPC) process and in doing so develop a predictive model to better inform police decision makers on the factors that are more likely to result in the state maintaining custody of a child.

Data for the current study were gathered through a series of focus groups and 6,607 existing records of PPC admissions into a children's home in the Wichita Children's Home (WCH) (Kansas). Systematic predictive modeling (logistic regression) was used to differentiate between children that are likely to need continued involvement of the child welfare system and those who could remain in the custody of their families.

Documents the PPC process by which a child is referred to be housed by WCH by a law enforcement agency. Reports on the design of a decision model which identifies the factors affecting the outcome of the PPC process.

Provides recommendations for streamlining the PPC process as well as the improvement of police policies and procedures.

This paper aims to assess the contribution of competitiveness factors in how small and medium-size enterprises (SMEs) would access competitive advantage (CA) by focussing on industry structure and devise a conceptual model thereof.

The enterprises from three industries consisting of knowledge-based, single-use medical device producers and construction stone cutting each with different structures were assessed. The method is qualitative and quantitative where grounded theory and exploratory factor analysis (EFA) are applied. The initial survey involves 36 deep semi-structured interviews with some of the top managers of each of the three selected industries and a questionnaire distributed among 158 individuals with 46 structured questions.

The findings indicate that the micro-competitiveness factors are more contributive in achieving CA than macro factors as follows: in knowledge-based enterprises, customer relationship management (CRM), goods/services features and knowledge management are the most important variables. As to single-use medical device production industry, the sales force, sales promotion, and CRM are the most effective factors. Regarding construction stone-cutting industry, quality of the stone, sales promotion, and advertisement play the same role. The results of the EFA indicate that the three impressive factors, including capabilities of the enterprises, strategies of the enterprises and macro factors, are the extracted factors.

The findings here would assist SMEs’ managers in identifying the most essential factors in accessing CA.

The innovation of this study is that although there exist many studies on SMEs and their CAs, this study seeks the models of CA among SMEs in industries with different structures.