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Business schools are increasingly emphasizing diversity in their courses as well as in their student populations. Additionally, most schools pay lip‐service to increasing diversity in their faculty compositions. But how well are business schools meeting the goal of a diverse faculty? The purpose of this research was to examine this issue through the analyses of the results of a survey sent to 71 schools of business across the USA. The survey examined ethnic backgrounds, asking for the number of Caucasians, Blacks, Hispanics, Asian‐Pacific peoples, and American‐Indians on faculties. Gender and the position in the school, i.e. dean, associate dean, director, professional, were also collected. Diversity varied between the positions held by faculty but not by the number of years in administrative positions. Significant differences between public and private schools were not evident based on these variables.

This chapter explores the significance of blockchain technology in protecting data for intelligent applications across various industries. Blockchain is a distributed ledger that ensures the immutability and security of transactions. Given the increasing need for security measures in industries, understanding blockchain technology is crucial for preparing for its future applications.

This chapter aims to examine the use of blockchain technology across industries and presents a compilation of existing and upcoming blockchain technologies for intelligent applications. The methodology involves reviewing research to understand the security needs of different industries and providing an overview of methods used to enhance multi-institutional and multidisciplinary research in areas like the financial system, smart grid, and transportation system.

The findings highlight the benefits of blockchain networks in providing transparency, trust, and security for industries. The Responsible Sourcing Blockchain Network (RSBN) is an example that utilizes blockchain's decentralized ledger to track sustainable sourcing from mine to final product. This information can be shared with auditors, corporate governance organizations, and customers.

The practical implications of this chapter are significant, serving as a valuable resource for industries concerned with identity privacy, traceability, immutability, transparency, auditability, and security. Understanding and implementing blockchain technology can address the growing need for secure and intelligent applications, ensuring data protection and enhancing trust in various sectors.

Certain elements of Hayek’s work are prominent precursors to the modern field of complex adaptive systems, including his ideas on spontaneous order, his focus on market processes, his contrast between designing and gardening, and his own framing of complex systems. Conceptually, he was well ahead of his time, prescient in his formulation of novel ways to think about economies and societies. Technically, the fact that he did not mathematically formalize most of the notions he developed makes his insights hard to incorporate unambiguously into models. However, because so much of his work is divorced from the simplistic models proffered by early mathematical economics, it stands as fertile ground for complex systems researchers today. I suggest that Austrian economists can create a progressive research program by building models of these Hayekian ideas, and thereby gain traction within the economics profession. Instead of mathematical models the suite of techniques and tools known as agent-based computing seems particularly well-suited to addressing traditional Austrian topics like money, business cycles, coordination, market processes, and so on, while staying faithful to the methodological individualism and bottom-up perspective that underpin the entire school of thought.

This study examines the effect of employees' perceptions of political connections on performance measurement systems (PMS) design choice and firm performance. In addition, this study explores the moderating effect of social networking, a very common and widely used factor by domestic and foreign multinational firms operating in China, and its joint effect with political connections or PMS design choice on firm performance. We collected survey responses from a sample of 110 managers from manufacturing firms in China. Our results reveal that highly politically connected managers use nonfinancial measures, leading to improved firm performance. Our results suggest that social networking interacts significantly with political connections, and nonfinancial and financial measures on firm performance. The theoretical and practical implications of our findings are discussed.

This paper aims to deconstruct the validation process for contemporary art with a fresh take on the components and terminology of this process, here referred to as the art machine.

Existing literature is analysed and key theoretical aspects combined to support the theory that an art machine exists that may process contemporary art for legitimation, sustainability and market success.

Roles played by art professionals and institutions within what is pioneered in this paper as the art machine frequently overlap. Opportunities for success are maximised when and if artists, art schools, galleries, critics, auction houses, museums and collectors manage to work in unison towards the common goal of optimal symbolic and financial value for the contemporary art market.

A clear and intelligible deconstruction of the art machine's interacting components should enable interested agents in both established and emerging art markets to better operate mechanisms towards short‐term marketing objectives and long‐term sustainability within the highly competitive and fluid art environment.

Existing literature recognises layered spheres of activity that may combine for success in an art market seeking increasing symbolic and financial value and sustainability. This article innovatively pictures the dynamic, interlocking mechanisms in this on‐going, one‐way process of turning inconspicuous raw materials into a valued end‐product: this is the art machine.

As significant listed property investment vehicles, industrial and logistics REITs (I&L REITs) have recently enhanced their property portfolios, often replacing the traditional industrial properties with logistic properties to gain strategic exposure to recent e-commerce trends. This paper aims to assess the investment performance of I&L REITs by assessing the significance, risk-adjusted performance and portfolio diversification benefits of I&L REITs in the Pacific Rim region from July 2011 to December 2018. The strategic property investment implications for I&L REITs are also identified.

Monthly total returns from July 2011 to December 2018 were used to analyse the risk-adjusted performance and portfolio diversification benefits for I&L REITs in the United States, Japan, Australia and Singapore. An asset allocation diagram was employed to assess the strategic role of I&L REITs in a mixed-asset portfolio in each case.

I&L REITs generally possessed superior average annual returns compared with the other sub-sector REITs, stocks and bonds in the United States, Japan, Australia and Singapore between July 2011 and December 2018, with desirable portfolio diversification benefits. Importantly, a more significant role for I&L REITs was generally observed in the mixed-asset portfolio compared to the other sub-sector REITs in each of these four markets across the broad portfolio risk spectrum. This reflects I&L REITs delivering enhanced portfolio returns and offering portfolio diversification benefits in a mixed-asset portfolio in the United States, Japan, Australia and Singapore.

Property investors, particularly property securities funds (PSFs) and income-oriented investors, should consider including I&L REITs in their mixed-asset portfolios, as Pacific Rim–based I&L REITs provided an attractive REIT investment sub-sector, co-existing alongside the other sub-sector REITs and major asset classes in a mixed-asset portfolio in a Pacific Rim context, as well as being a portfolio diversifier. These results confirm the added-value and strategic role of I&L REITs in a mixed-asset portfolio, seeing I&L REITs as an effective investment pathway for I&L property exposure in the Pacific Rim region.

This is the first study to assess the investment performance of I&L REITs in the Pacific Rim region, evaluating their significance, risk-adjusted performance and portfolio diversification benefits, and the role of I&L REITs in a mixed-asset portfolio in the United States, Japan, Australia and Singapore. More importantly, this research is the first paper to provide empirical evidence on I&L REITs, which have often transformed their traditional industrial property portfolios with increased levels of logistics property to gain exposure to recent e-commerce trends. This research enables more informed and practical property investment decision-making regarding I&L REITs and their added-value and strategic role in a mixed-asset portfolio, as well as delivering effective I&L property exposure in the Pacific Rim region, with the added benefits of liquidity, transparency and fiscal efficiency.

Purpose – The purpose of this chapter is to be as comprehensive as possible about what is known about mirror neurons at this time.

Design/methodology/approach – This chapter offers a comprehensive critique including Churchland's hesitations about findings on mirror neurons (2011) which are balanced by Ramachandran's conviction that much of the research on mirror neurons is valid (2011). Following this is a summary of the results of the Mirror Neuron Forum (2011) wherein leading mirror neuron researchers exchange their views and conclusions about this subject.

Findings – The few single cells measures that we have show that they are much wider distributed throughout the brain than we have previously imagined. It should be stressed that single measures of mirror neurons have occurred albeit in limited situations. This establishes once and for all their relevance to humans.

Originality/value – The work on mirror neurons is a critical contribution from neuroscience to bringing the social brain into sociology and refining our understandings of intersubjectivity and of our biologically driven connections with others.

Classical definitions of motivation typically involve two main components: direction and activation. Motivated behavior is directed toward or away from particular stimuli (i.e., appetitive and aversive motivation). Furthermore, activational aspects of motivation refer to the observation that motivated behavior is characterized by substantial activity, vigor, persistence, and exertion of effort in both the initiation and maintenance of behavior. Although separate neural systems direct organisms toward distinct motivational stimuli (e.g., food, water, sex), there appears to be a common circuitry regulating behavioral activation and the exertion of effort. Mesolimbic dopamine is one of the brain systems mediating activational aspects of motivation and exertion of effort. This system integrates aspects of motivation and motor control functions involved in the instigation of action. Research on the neurobiology of effort has contributed to our understanding of the pathophysiology of neurological and psychiatric disorders that are characterized by motivational dysfunction.

The purpose of this paper is to analyze user behavior toward multi-screen services by employing neural networks to predict overall customer satisfaction and to prioritize the factors that influence customer intentions.

Multi-screen experiences require a new approach incorporating multiple methods. A proposed multi-state analytic approach in which the research model is tested using structural equation modeling was utilized. The results were then used as inputs for a neural network model to predict multi-screen adoption.

The findings indicate that multi-screen quality significantly influences usability, which subsequently affects the adoption of the technology.

The policy and managerial implications of multi-screen development are discussed based on the models of acceptance and diffusion.

The emergence of multi-screen services as well as the simultaneous and sequential engagement of users with multiple devices throughout the day challenges the ability of marketers to develop effective communication strategies.

This study provides an in-depth analysis and heuristic data regarding user drivers, market dynamics, and policy implications in the one-source multi-use ecosystem.