Search results

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.

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.

The purpose of this study is to investigate the sales-, rental- and sharing-focused business models for industrial markets by analysing interactions and environmental sustainability efforts within them.

Case studies are conducted at two world-leading manufacturing firms of complex industrial products. The analysis compares how interaction takes place in sales-, rental- and sharing-focused business models in industrial markets for high-technology products in connection with environmental sustainability outcomes.

The findings show the need for different interaction patterns in sales-, rental- and sharing-focused business models at firm, relationship and network levels. The implementation of sharing-focussed business models requires new interactions with actors within firms, between firms and key collaborators and in networks. The firms in our study have made a wide range of efforts to improve the environmental sustainability of their products. Sharing-focused business models have the potential to be environmentally sustainable if products can be shared among customers. However, under-usage of products and the increased need to transport them may reduce environmental sustainability.

This study reveals that although manufacturing firms and customers are willing to implement sharing-focused business models, there are obstacles to achieving the expected environmental sustainability associated with this business model. These are due to the high-technology nature and level of customisation of the associated firms’ products and services, which make it difficult to share resources across firms without advanced adaptations to products such as re-programming. This study contributes to the sharing-focused business model literature for the business-to-business context, by pointing to the pivotal role partnerships with new actors and closer collaboration with existing actors in supply chains can play in enabling sharing-focused business models in the future.

Drawing on person–environment fit theory, this study aims to investigate how the relationships between service task types (i.e. utilitarian and hedonic service tasks) and perceived authenticity (i.e. service and brand authenticity) differ under different conditions of service providers (human employee vs service robot). This study further examines whether customers’ stereotypes toward service robots (competence vs warmth) moderate the relationship between service types and perceived authenticity.

Using a 2 × 2 between-subjects experimental design, Study 1 examines a casual restaurant, whereas Study 2 assesses a theme park restaurant. Analysis of covariance and PROCESS are used to analyze the data.

Both studies reveal that human service providers in hedonic services positively affect service and brand authenticity more than robotic employees. Additionally, the robot competence stereotype moderates the relationship between hedonic services, service and brand authenticity, whereas the robot warmth stereotype moderates the relationship between hedonic services and brand authenticity in Study 2.

Restaurant managers need to understand which functions and types of service outlets are best suited for service robots in different service contexts. Robot–environment fit should be considered when developers design and managers select robots for their restaurants.

This study blazes a new theoretical trail of service robot research to systematically propose customer experiences with different service types by drawing upon person–environment fit theory and examining the moderating role of customers’ stereotypes toward service robots.

This study aims to explore the factors affecting customers’ attitudes to the adoption of robots in hotels and travel agencies.

Structural equation modelling was used to test the extended technology acceptance model based on data collected from 570 customers of hotels and travel agencies.

The findings revealed that hotel customers have more positive attitudes to service robots than their peers in travel agencies.

This research contributes to the literature on robots in tourism and responds to the call to investigate customers’ attitudes to the adoption of robots in developing countries.

探究消费者对旅游和酒店业采用机器人的态度

本研究旨在探索影响酒店旅游服务中使用机器人消费者态度的因素

基于570个酒店和旅行社消费者的数据, 运用结构方程来检测TAM延伸模型

研究结果显示酒店消费者比旅行社消费者对服务机器人有更加积极的态度

本研究对以发展中国家为研究背景, 关于消费者对服务机器人的态度的旅游文献做出了贡献

Drawing on the cognitive–affective–conative framework, this study aims to develop a model of service robot acceptance in the hospitality sector by incorporating both cognitive evaluations and affective responses.

A mixed-method approach combining qualitative and quantitative methods was used to develop measurement and test research hypotheses.

The results show that five cognitive evaluations (i.e. cuteness, coolness, courtesy, utility and autonomy) significantly influence consumers’ positive affect, leading to customer acceptance intention. Four cognitive evaluations (cuteness, interactivity, courtesy and utility) significantly influence consumers’ negative affect, which in turn positively affects consumer acceptance intention.

This study provides significant implications for the design and implementation of service robots in the hospitality and tourism sector.

Different from traditional technology acceptance models, this study proposed a model based on the hierarchical relationships of cognition, affect and conation to enhance knowledge about human–robot interactions.

This study aims to investigate about the use of artificial intelligence (AI) (man machine relationship) regarding organizational behavior. The aim of this research paper is to analyze whether the current AI is used also to replace man in “creative” activities.

This study is based on a qualitative and explorative approach. It is made a review of the literature with “Scopus” and “Web of Science” databases. The research fields are AI, organizational behavior, man-machine relationship and creativity.

Analyzing whether the intensive use of AI in organizational behavior can replace human work in creative activities.

The connection of AI with creative activities within the organization is only just beginning. For this reason, other sources, like Harvard Business Review, public reports and professional papers found on the internet have been considered. The most important limitation of this paper is that all the results presented here do not concern a single case study.

In this paper, there are some examples that can show the use of AI in creative activities; however, this does not complete the situation facing companies in any sector because the AI technologies used within enterprises are constantly evolving. It is possible to continue to do research in this field.

The paper is meaningful because highlights the development of AI toward creative activities typically of human resources. It is also interesting because it analyzes the exploratory use of AI in increasingly human work, generating positive and negative externalities.

The main aim of this study is to review different aspects of Industry 5.0 (I5.0) along with Kaizen measures to foster this novel aspect of industrial sustainability. The study makes a comprehensive study to explore the implementation status of I5.0 in industries, key technologies, adoption level in different nations and barriers to I5.0 adoption together with mitigation actions.

To do a systematic study of the literature, the authors have used preferred reporting items for systematic reviews and meta-analysis (PRISMA) methodology to extract articles related to the field of the study.

It has been found that academic literature on the I5.0 is continuously growing as the wheel of time is running. Most of the studies on I5.0 are conceptual-based, and manufacturing and medical industries are the flag bearer in the adoption of this novel aspect. Further, due to I5.0's infancy, many organizations face difficulty to adopt the same due to financial burden, resistive nature, a well-designed standard for cyber-physical systems (CPS) and an effective mechanism for human–robot collaboration. Further studies also provide avenues for future research in terms of the identification of collaborative mechanisms between machines and wells, the establishment of different standards for comparison and the development of I5.0-enabled models for different industrial domains.

The study is the first of its kind that reviews different facets of I5.0in conjunction with Kaizen's measures and application areas and provides avenues for future research to improve an organization's environmental and social sustainability.

The aim of this chapter is to introduce the reader to the complexities of marketing organization especially in bigger firms. This chapter draws attention to one of these major drivers for change — globalization. This is done with the help of an in-depth case study of ABB Robotics.

The case describes how a change is achieved through a major marketing reorganization process. Initially, there are major difficulties grasping the organizational problem and identifying its causes. Many different organizational “issues” are part of the problem in the multifaceted case. Relying on complexity theory, the case suggests that a more complex environment with greater number of relevant players, which are — themselves — interconnected through networks, will also exhibit a greater range of change. Change and reorganization processes like the one confronting the case company would rather be the normal situation for companies embedded in complex global networks.