Examining the Feasibilities of Industry 4.0 for the Hospitality Sector with the Lens of Management Practice

Abstract

Industry 4.0 and its impact in the manufacturing sector are well documented. However, the service sector is understudied, and it is also facing the challenges of mass customization, digital enhancement, smart work environment, and efficient supply chain. The aim of this study is to fill this research gap by exploring the issues of Industry 4.0 in the service sector, with cases in the hospitality industry. All the challenges of Industry 4.0 require continuous innovation and learning, which is dependent on people and the enterprise's capabilities. Appropriate management approaches can play a vital role in the development of dynamic capabilities, and an effective learning and innovation environment. This paper proposes a framework of management practices which can promote the environment of innovation and learning in an organization, and hence facilitate business to match the pace of Industry 4.0 by facilitating technology acceptance e.g., digital enhancements and implementation of cyber physical systems (CPS). This study integrates the literature with logical beliefs to suggest the appropriate management practices for Industry 4.0. It represents one of the initial attempts to draw research attention towards the important role of management practices in Industry 4.0, as most of the recent studies have been restricted to the technological aspects. Semi-structured interviews of hospitality employees are conducted to explore the management practices suitable for meeting the challenges of Industry 4.0, specifically for informing the service sector.

Society 5.0 and Social Development: Contributions to a Discussion

“…This opinion article seeks to observe the emergence of what, potentially, will be a central concept in a very near future, that of Society 5.0 as "proposing to further the potential of the individual-technology relationship in fostering the enhancement of the quality of life of all people through a super smart society" (Serpa & Ferreira, 2018, para. 1) and which emerges, in part, as a (con)sequence of the implementation of the concept of Industry 4.0. and its impact (Shamim, Cang, Yu, & Li, 2017;Liao, Deschamps, Loures, & Ramos, 2017;Compagna, Weidemann, Marquardt, & Graf, 2016). This is an argumentative analysis, as a manuscript of positioning, which is based on a set of very recent publications, but which also has a prospective component, which always generates some indeterminacy.…”

“…The article ends with a brief conclusion. and will bring as a new productive paradigm with application in several activity areas (Abreu, 2018;Morrar, Arman, & Mousa, 2017;Liu, Cao, Yang, & Jiang, 2018;Shamim et al, 2017;Liao et al, 2017;Fraga-Lamas, Noceda-Davila, Fernández-Caramés, Díaz-Bouza, & Vilar-Montesinos, 2016;Ang et al, 2017;Pilloni, 2018).…”

“…Innovation is another key concept in Industry 4.0 (Hennies & Raudjärv, 2015;Palazzeschi, Bucci, & Di Fabio, 2018;Shamim et al, 2017; Center for Research and Development Strategy: Japan Science and Technology Agency, 2017). In order for permanent innovation to occur, both individual and organisational learning for change and flexibility are essential, and learning for technology does not suffice (Abreu, 2018;Palazzeschi et al, 2018;Shamim et al, 2017;Morrar et al, 2017;Morrar et al, 2017).…”

Requirements of the Smart Factory System: A Survey and Perspective

“…A decision will be made autonomously in real time without violating the overall organizational goal. In these systems, employees make decisions about ordinary matters on time and change their strategy and direction according to the change in business situations and environments [40]. Embedded computers enable autonomous CPS to interact with their environment via sensors and actuators (cf.…”

Augmented reality goggles selection by using neutrosophic MULTIMOORA method

“…Long et al (2016) used stochastic Petri nets in order to model the production system in industry 4.0. Shamim et al (2017) proposed the Industry 4.0 framework to promote the environment of innovation and learning in an organization. Pei et al (2017) build a high-level digitization for intelligent continuous production line.…”