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Unlike the historical robots, the contemporary and futuristic ‘working’ robots within organisations are capable of taking decisions without human intervention. This chapter reviews the technical evolution of robots across history with the necessary evolution of operational procedures regarding laws and ethical standards. The objective of this review is to have a futuristic holistic insight into the new generation of robots that are invading our working environment within organisations. Out of the very wide perspective of robotics research field, this chapter only discusses the ‘working’ robots (excluding domestic, social, and warfare robots) in organisations along with its ethical and legal associated issues. To achieve this objective, the recent ‘working robot’ definition and associated expected ethics and laws, termed in this chapter as ‘Ten Commandments’ would be necessary for the utilisation of robotics before releasing ‘intelligent’ robots in the workplace environment. The proposed ‘Ten Commandments’ can be utilised by robot manufacturer to embed ‘machine testimony’ to their products. Providing that such ‘robot ethics’ built as part of the algorithmic structure of robots, a useful innovation like robot–manager is also identified in the organisational environment which can have multiple benefits as discussed in this chapter.

We investigate product innovation by a cohort of entrants who use technology that eventually suffers disruption. We concentrate on two types of entrants – those with and those without relevant prior experience in the disrupted technology. Using the industrial robotics industry as the context of our study, we explore product innovation using disrupted technology during two time periods: the first prior to sales takeoff of the disruptive products and the second subsequent to takeoff. We find that the two types of entrants did not differ in product innovation prior to takeoff, but firms with prior experience in the disrupted technology manufactured more innovative products subsequent to the sales takeoff of disruptive products. Our research underscores that the boundary conditions of the utility of prior experience is more nuanced than that which literature suggests – it affects product innovation only in the post-sales takeoff period when the demand uncertainties are relatively low. Our findings also suggest that the boundary conditions of Christensen’s thesis are narrower than predicted by prior literature.

Advances in information technology have enabled consumers to connect and communicate as they never have before. This chapter conceptualizes information and the digital machines that enable contemporary connection and communication as being part of a “Moveable Feast.” A brief historical review tracing the impact and evolution of information technology on consumers’ lives and the marketplace is first provided. Culminating the historical review is a metaphorical description of the current period as a “Moveable Feast” of information, whereby consumers and digital machines interact to create and share information “dishes” with other consumers worldwide. With this guiding metaphor in place, current marketing-relevant information phenomena are described within a framework of three important digital dyads proposed to exist between humans and machines. Deep discussion of machine–machine, human–machine, and human–human dyads points to the importance of information as a resource that consumers create and exchange in the contemporary marketplace. This chapter concludes by encouraging marketers and marketing researchers to consider the impact and importance of digital information and information technology on consumers’ ability to connect and communicate with digital machines and with one another.

This chapter aims to present the idea of leader robots (LRs) and proposes how LRs can step in to fill various manager positions. LRs are the robots that lead robots. Robotics engineers have already produced many robots for various applications such as in manufacturing, marketing, accounting even human resources in business management. We have witnessed many significant advancements in robotics and artificial intelligence research to achieve digital transformation. There are robots for various purposes of providing digital transformation toward Industry 5.0. Some post-modern organizations have already had robot employees and artificial intelligence applications. There are many studies on human–robot collaboration, robot development, and robot employee but limited research on LR. In this study, therefore, it is discussed the possibility of LRs that may be a key concept of Industry 5.0 in perspective digital transformation. Therefore, it is believed that this study will be one of the focuses of many upcoming organizational robotics research studies.

This article describes an experiment in a Kydland/Prescott type of environment with cheap talk. Individual evolutionary learning (IEL) acts as a policy maker that makes inflation announcements and decides on actual inflation rates. IEL evolves a set of strategies based on the evaluation of their counterfactual payoffs measured in terms of disutility of inflation and unemployment. Two types of private agents make inflation forecasts. Type 1 agents are automated and they set their forecast equal to the announced inflation rate. Type 2 agents are human subjects who submit their inflation forecast and are rewarded based on their forecast error. The fraction of each type evolves over time based on their performance. Experimental economies result in outcomes that are better than the Nash equilibrium. This article is the first to use an automated policy maker that changes and adapts its rules over time in response to the environment in which human subjects make choices.

Drawing upon Alfred Sohn-Rethel's work, we argue that, just as capitalism produces abstract labor, it coproduces both abstract mind and abstract life. Abstract mind is the split between mind and nature and between subject/observer and observed object that characterizes scientific epistemology. Abstract mind reflects an abstracted objectified world of nature as a means to be exploited. Biological life is rendered as abstract life by capitalist exploitation and by the reification and technologization of organisms by contemporary technoscience. What Alberto Toscano has called “the culture of abstraction” imposes market rationality onto nature and the living world, disrupting biotic communities and transforming organisms into what Finn Bowring calls “functional bio-machines.”

Purpose: In the experience economy, the main challenge for museums is not only to attract visitors but also to preserve artworks. Given this circumstance, this chapter aims to offer an overview of how these cultural organisations have emerged as labs of the future culture, where all kind of technological experiments are tested so as to fulfil their mission.

Design/methodology/approach: This chapter is based on extensive literature review on issues related to robots, artificial intelligence and service automation (RAISA) in the museum sector. Examples illustrate the role of technology in the experience design and preservation of cultural resources.

Findings: 1) A chronological framework of museums’ orientations is established to understand the evolution toward the technology-driven present period. 2) Robots, artificial intelligence and service automation have a meaningful contribution to make in guaranteeing visitor arrivals. 3) This technological phase requires a tourism workforce with new skills.

Research limitations/implications: Few academic studies concerning to the use of robots, artificial intelligence and service automation in the museum sector were found. Hence, more empirical studies are required to completely corroborate the chapter’s suggestions.

Practical implications: An enlightening path for the service design of multisensory and participatory is proposed, as a useful guide for heritage managers, marketing practitioners and tourism planners.

Originality/value: Museum management has been always receiving the attention of managers, policymakers, scholars, among others. Insights of how technology enhances heritage preservation and the improvement of museum services throughout numerous examples can direct them to increase knowledge and adopt these practices.

Technological development creates technological imperative for organisations. The most recent is dedicated to digital technologies with a strong influence on the way of managing and organising. To gain a better understanding of the latest business practice, the authors use a multilevel perspective and apply the historical analysis method. Specifically, this chapter explores organisational design (OD) of the future through the evolutionary perspective (spanning across the four industrial revolutions) and brings into focus how technological imperatives modified organisational structure, coordination mechanisms and people/job practices. By reflecting on the historical changes in OD practices that happened throughout different phases of industrialisation, the authors analyse how building blocks of digital OD shape managerial and employee behaviours, thus unleashing the performance potential of digital technologies.

The present chapter discusses evolution, definitions, dimensions, capabilities, and the present state of the art of digital supply chain management (DSCM). The objective of the chapter is to offer a detailed understanding of DSCM, by shedding light on its historical development, exploring its multipronged definitions, and highlighting its core dimensions and capabilities in the contemporary business landscape. The evolution of DSCM appears as a central theme, rooted in the background of industrial revolutions. It starts by relooking at the First Industrial Revolution (IR) with its mechanization and steam power, progresses through the Second IR with electrification and mass production, and arrives at the Third IR, characterized by the rise of computers and the internet. The pivoting transition into the Fourth IR, also called Industry 4.0, marks the start of DSCM with its fusion of digital technologies (DTs) in the supply chain (SC) processes. Analysis of key definitions of DSCMs unveils their role as an enabler of SC collaboration, customer-centric nature, having overarching reliance on DTs. Moreover, the chapter explores the core dimensions of DSCM, exposing its ability to improve SC resilience, sustainability, visibility, efficiency, and agility. These capabilities stem from seamlessly woven DT developments into SC: artificial intelligence (AI), machine learning, the Internet of Things (IoT), and advanced analytics. The chapter concludes by highlighting the present state of the art in DSCM, reflecting its indispensable role in the contemporary turbulent business dynamics. In short, this chapter offers a synthesized view of DSCM's definitions, dimensions, evolution, capabilities, and present status within the larger context of supply chain management (SCM) literature.