A systematic mapping study of process mining

This study systematically assesses the process mining scenario from 2005 to 2014. The analysis of 705 papers evidenced ‘discovery’ (71%) as the main type of process mining addressed and ‘categorical prediction’ (25%) as the main mining task solved. The most applied traditional technique is the ‘graph structure-based’ ones (38%). Specifically concerning computational intelligence and machine learning techniques, we concluded that little relevance has been given to them. The most applied are ‘evolutionary computation’ (9%) and ‘decision tree’ (6%), respectively. Process mining challenges, such as balancing among robustness, simplicity, accuracy and generalization, could benefit from a larger use of such techniques.     

Preference for robot service or human service in hotels? Impacts of the COVID-19 pandemic

Robots and artificial intelligence (AI) technologies are becoming more prominent in the tourism industry. Nowadays, consumers are faced with multiple options involving both human and robot interactions. A series of experimental studies were implemented. Four experiments demonstrated that consumers had a more positive attitude toward robot-staffed (vs. human-staffed) hotels when COVID-19 was salient. The results were different from previous studies, which were conducted before the COVID-19 pandemic. Since the moderating role of perceived threat in consumers’ preference for robot-staffed hotels was significant, the respondents’ preference was attributed to the global health crisis. This research provides a number of theoretical and managerial implications by improving the understanding of technology acceptance during a health crisis.     

Will AI ever sit at the C-suite table? The future of senior leadership

As the sophistication of artificial intelligence (AI) systems develop and AI becomes a key element of organizational strategy across a wide spectrum of industries, new demands are being placed on senior leaders. To understand the growing challenges leaders will face in the age of AI, we conducted interviews with 33 senior leaders in several countries across a wide range of industries. Our research highlights key capabilities and skills that leaders will require. Underlying these capabilities is a mindset oriented toward continuous learning and self-development, which will enable ongoing and rapid adaptation to change. Our findings identified the following key capabilities: digital know-how, data-driven focus, networking, ethics, and agility. To successfully navigate the coming era, senior leaders will need to focus on reskilling the workforce, recruiting and retaining highly skilled talent, building an intrapreneurial culture, and managing unprecedented changes in technologies and the nature of work.     

Cross-cultural event volunteering: Challenge and intelligence

Globalization and increasing number of international events makes cross-cultural volunteering a popular phenomenon when combined with the greater mobility of people. Focusing on a volunteer's experience at four events in New Zealand and China, this paper aims to explore the challenges and intelligence that encountered at such events. Earley and Ang's cultural intelligence framework is used to explain what contributes to successful cross-cultural volunteering experiences. Drawing upon the autoethnographical data and a critical discourse analysis of volunteer handbooks and emails, the results identified a four-dimensional schema to explain the auto-ethnographical perceptions of what is termed a 'dual' volunteer experience. The analysis suggests that cultural intelligence leads to an enhanced experience, while a lack of intercultural effectiveness leads to challenges. Recommendations for cross-cultural volunteering practice are also presented.     

Sixty years of research on technology and human resource management: Looking back and looking forward

Technology has changed the way we work and how companies manage their employees. This article reviews 60 years of research on the relationship between technology and human resource management, as represented in Human Resource Management. Based on 154 articles, we identify recurring and evolving patterns of research on technology across three time periods (separated by the advent of the personal computer in 1977 and by the popularization of consumer internet services in 1997), three perspectives on technology (tool, proxy, and ensemble view of technology), and three thematic streams (the impact of technology on jobs and organizations, the utilization of technology in HR activities, and the management of technology workers). Drawing on patterns of research that emerged in the past, we provide suggestions for future HR research on newly arriving technology.     

The impact of artificial intelligence on economic growth and welfare

Focusing on the self-accumulation ability and the nonrival characteristic of artificial intelligence (AI), this paper develops a three-sector endogenous growth model and investigates the impact of the development of AI along the transitional dynamics path and the balanced growth path. The development of AI can increase economic growth along the transitional dynamics path, and can increase household short-run utility if an increase in the accumulation of AI is due to the rising productivity in the goods or AI sector, but can be detrimental to household short-run utility if an increase in the accumulation of AI is because firms use more AI to replace human labor. In addition, the development of AI is not necessarily beneficial to household welfare in the long run. The main results are unaffected when considering the case where AI can improve the accumulation of human capital, the traditional research and development model, and different kinds of physical capital.     

How does a boundaryless mindset enhance expatriate job performance? The mediating role of proactive resource acquisition tactics and the moderating role of behavioural cultural intelligence

Abstract

Drawing on self-determination theory, this study explores how a boundaryless mindset influences expatriate job performance, while incorporating the mediating role of proactive resource acquisition tactics and the moderating role of behavioural cultural intelligence. Analyses of three waves of data totalling 389 expatriate–supervisor dyads collected from 10 large Chinese multinational corporations indicated that a boundaryless mindset has a positive influence on expatriate task and contextual performance through the mediating role of proactive resource acquisition tactics. Furthermore, behavioural cultural intelligence enhanced the effects of proactive resource acquisition tactics on task performance and contextual performance. The theoretical and practical implications are discussed.     

Enterprise knowledge graphs with applications to continuous monitoring systems

Continuous monitoring systems generate continuous business intelligence by gathering text from a range of sources and typically storing that text information using snippets of text. Further, continuous monitoring systems derive information from those snippets, such as sentiment and new concepts emerging in the text, beyond the existing ontology and dictionaries. However, it is difficult for users to gather much additional information from large quantities of text snippets. As a result, this paper investigates introducing the notion of “knowledge graphs” into such systems and analyzes some of the potential applications and capabilities in business intelligence settings. As part of that analysis, this paper extends current-generation continuous monitoring systems to include knowledge graphs.     

Customer-robot interactions: Understanding customer experience with service robots

Technology developments relating to automation, artificial intelligence, and robots have transformed the landscape of service industries, including hospitality and tourism. Through a qualitative content analysis of online review data, this study seeks a comprehensive and grounded understanding of customer experience with service robots in hospitality and tourism settings. The analysis identified four categories of customer experience: (1) sensory experience (verbal language, physical appearance, kinesics, and paralanguage), (2) cognitive experience (utility, cuteness, autonomy, coolness, interactivity, and courtesy), (3) affective experience (enjoyment, novelty, negative emotion, and satisfaction), and (4) conative experience (approach/resistance). Results led to the development of a framework representing customer experience with service robots and to insights into customer-robot interactions. Most customers described positive experiences, and while service robots performed well in delivering functional and emotional value, social interaction skills need improvement.     

Logistics Innovation and Social Sustainability: How to Prevent an Artificial Divide in Human–Computer Interaction

Human–computer interaction (HCI) is a cornerstone for the success of technical innovation in the logistics and supply chain sector. As a major part of social sustainability, this interaction is changing as artificial intelligence applications (Internet of Things, autonomous transport, Physical Internet) are implemented, leading to larger machine autonomy, and hence the transition from a primary executive to a supervisory role of human operators. A fundamental question concerns the level of control transferred to machines, such as autonomous vehicles and automatic materials handling devices. Problems include a lack of human trust toward automatic decision making or an inclination to override the system in case automated decisions are misperceived. This paper outlines a theoretical framework, describing different levels of acceptance and trust as a key HCI element of technology innovation, and points to the possible danger of an artificial divide at both the individual and firm level. Based upon the findings of four benchmark cases, a classification of the roles of human employees in adopting innovations is developed. Measures at operational, tactical, and strategic level are discussed to improve HCI, more in particular the capacity of individuals and firms to apply state‐of‐the‐art techniques and to prevent an artificial divide, thereby increasing social sustainability.