Authors: Kim, Taekyung; Jo, Hwirim; Yhee, Yerin; Koo, Chulmo
Abstract: Humans in hospitality areas are being replaced by robot concierges, delivery rob ...
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Abstract: Humans in hospitality areas are being replaced by robot concierges, delivery robots, chatbots, and information assistants through a variety of devices, for example, mobile apps and self-service check-in/check-out machines. Powered by artificial intelligence (AI) algorithms, big data, mobile Internet and internet-of-things technologies, inventions supporting a sustainable shift to social robotics have recently been growing exponentially. Despite this unidirectional movement, there has been a lack of effort to monitor customer responses regarding specific situations in a timely manner. In this study, we examine YouTube, an online streaming video website, to uncover what factors affect attitudes towards RAISA (Robot, AI, and Service Automation) applications in the hospitality industry. The findings show that the sentiment of the content of video narration and physical interaction influence potential customer attitudes toward RAISA services in hospitality. This study provides insights about how online buzz can offer an initial reference for potential customers to deal with the uncertainty of innovative services and provide practitioners with information about proper design guidelines for promoting RAISA applications to their businesses by grasping the trend of broad opinion in real time.
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Semantic filters:
business process automationdesign guideline
Abstract: The information supply chain (ISC) involves the exchange, organization, selectio ...
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Abstract: The information supply chain (ISC) involves the exchange, organization, selection, and synthesis of relevant knowledge and information about production, purchase planning, demand forecasting, and inventory among collaborating business partners in a value chain. Information and knowledge sharing in an ISC occurs in a business process context. Seamless knowledge exchange within and across organizations involved in secure business processes is critically needed to "secure and cultivate the information supply chain." Extant literature does not explicitly consider or systematically represent component knowledge, process knowledge and security knowledge for business processes within and across organizations. As a result, organizations engaged in collaborative inter-organizational processes continue to be plagued with issues such as semantic conflict issues, lack of integration of heterogeneous systems, and lack of security knowledge regarding authorized access to resources. Without appropriate security controls, manual interventions lead to unauthorized access to resources. These problems motivate our Semantic Approach to Secure Collaborative Inter-Organizational eBusiness Processes (SSCIOBP). We follow a design science paradigm to identify metarequirements of SSCIOBP and develop the design artifact. SSCIOBP is evaluated using observational and descriptive evaluation methods following Hevner et al. (2004). We apply our approach to show how the Collaborative Planning Forecasting and Replenishment (CPFR) industry standard models can be enhanced using the proposed design artifact. We apply SSCIOBP to a case study to illustrate its applicability in mapping core business processes of organizations to solve semantic inter-operability issues and systematically incorporate component, process and security knowledge in the design of secure business processes across the information supply chain.
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Semantic filters:
business process automationdesign guideline
Topics:
business process management knowledge representation electronic business supply chain management access control
Methods:
design artifact kernel theory case study design requirement meta design